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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2022.987437</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical characteristics of new-onset acute kidney injury in patients with established acute respiratory distress syndrome: A prospective single-center <italic>post hoc</italic> observational study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cui</surname> <given-names>Xiaoyang</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1895329/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Huang</surname> <given-names>Xu</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1700589/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Xin</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1257947/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cai</surname> <given-names>Ying</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Tian</surname> <given-names>Ye</given-names></name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhan</surname> <given-names>Qingyuan</given-names></name>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1217517/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, China-Japan Friendship Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Vin-Cent Wu, National Taiwan University, Taiwan</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mansoor Nawaz Bangash, University of Birmingham, United Kingdom; Yi Yang, Southeast University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Xu Huang, <email>huangxu1122@sina.com</email></corresp>
<corresp id="c002">Qingyuan Zhan, <email>drzhanqy@163.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Intensive Care Medicine and Anesthesiology, a section of the journal Frontiers in Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>20</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>987437</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>07</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>09</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Cui, Huang, Yu, Cai, Tian and Zhan.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Cui, Huang, Yu, Cai, Tian and Zhan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>We assessed the incidence and clinical characteristics of acute kidney injury (AKI) in acute respiratory distress syndrome (ARDS) patients and its effect on clinical outcomes.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a single-center prospective longitudinal study. Patients who met the Berlin definition of ARDS in the medical ICU in China-Japan Friendship Hospital from March 1, 2016, to September 30, 2020, were included. AKI was defined according to the KDIGO clinical practice guidelines. Early and late AKI were defined as AKI occurring within 48 h after ARDS was diagnosed or after 48 h, respectively.</p>
</sec>
<sec>
<title>Results</title>
<p>Of the 311 ARDS patients, 161 (51.8%) developed AKI after ICU admission. Independent risk factors for AKI in ARDS patients were age (OR 1.027, 95% CI 1.009&#x2013;1.045), a history of diabetes mellitus (OR 2.110, 95%CI 1.100&#x2013;4.046) and chronic kidney disease (CKD) (OR 9.328, 95%CI 2.393&#x2013;36.363), APACHE II score (OR 1.049, 95%CI 1.008&#x2013;1.092), average lactate level in the first 3 days (OR 1.965, 95%CI 1.287&#x2013;3.020) and using ECMO support (OR 2.359, 95%CI 1.154&#x2013;4.824). Early AKI was found in 91 (56.5%) patients and late AKI was found in 70 (43.5%). Early AKI was related to the patient&#x2019;s underlying disease and the severity of hospital admission, while late AKI was related to the application of nephrotoxic drugs. The mortality rate of ARDS combined with AKI was 57.1%, which was independently associated with shock (OR 54.943, 95%CI 9.751&#x2013;309.573).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>A significant number of patients with ARDS developed AKI, and the mortality rate for ARDS patients was significantly higher when combined with AKI. Therapeutic drug monitoring should be routinely used to avoid drug toxicity during treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>acute kidney injury</kwd>
<kwd>acute respiratory distress syndrome</kwd>
<kwd>extra-pulmonary complications</kwd>
<kwd>mechanical ventilation</kwd>
<kwd>fluid balance</kwd>
<kwd>nephrotoxic agents</kwd>
</kwd-group>
<contract-num rid="cn001">2020YFC2003700</contract-num>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="34"/>
<page-count count="11"/>
<word-count count="7776"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Background</title>
<p>Acute respiratory distress syndrome (ARDS) is a syndrome consisting of acute hypoxemic respiratory failure onset within 1 week of insult or the presence of new (within 7 days) or worsening respiratory symptoms with bilateral pulmonary infiltrates that is associated with both pulmonary and non-pulmonary risk factors and is not primarily due to cardiac failure and fluid overload (<xref ref-type="bibr" rid="B1">1</xref>). It has a substantial impact on public health, with an incidence of 86.2 per 100,000 person-years and an in-hospital mortality rate of 38.5% (<xref ref-type="bibr" rid="B2">2</xref>). Patients with ARDS may have a severe inflammatory response due to ARDS or its treatments, which may cause extrapulmonary organ dysfunction and contribute to death (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Acute kidney injury (AKI) is a common, serious complication in critically ill patients that may result in increased mortality, longer hospital stays and higher medical costs (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Previous studies have shown that ARDS is independently associated with AKI (<xref ref-type="bibr" rid="B9">9</xref>). Experimental studies have shown that one mechanism of renal injury in ARDS is positive-pressure ventilation that can result in inadequate renal perfusion possibly through a reduced cardiac output and increased central venous pressure (<xref ref-type="bibr" rid="B10">10</xref>). In addition, hypoxemia, hypercarbia, and systemic acidosis could influence renal vascular resistance and renal perfusion pressures, resulting in AKI. Moreover, respiratory support methods such as mechanical ventilation, extracorporeal membrane oxygenation (ECMO) and ventilator-induced lung injury can activate systemic inflammation via the release of inflammatory cytokines, which may cause renal injury (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Multicenter studies show that the mortality rate for ARDS in China is 68.5% in adult ICUs, and when combined with AKI, the mortality rate is as high as 80% (<xref ref-type="bibr" rid="B14">14</xref>). To date, few studies have comprehensively discussed the effects of ARDS on patients&#x2019; renal function based on patient status, ARDS diagnosis, and specific interventions performed in the ICU.</p>
<p>The primary objective of this study was to assess the incidence and characteristics of AKI in ARDS patients and to study the risk factors associated with its development. The secondary objective was to identify the 28-day in-hospital mortality rate of AKI in ARDS patients and the variables associated with mortality.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>Study design and data source</title>
<p>This was a single-center prospective longitudinal study which is a part of a registered study (<ext-link ext-link-type="uri" xlink:href="https://Clinicaltrials.gov">Clinicaltrials.gov</ext-link> NCT02975908). We consecutively included all adult patients (&#x003E;18 years old) who met the ARDS Berlin definition for the first incidence of ARDS in the medical ICU in China-Japan Friendship Hospital from March 1, 2016, to September 30, 2020 (<xref ref-type="bibr" rid="B1">1</xref>). The exclusion criteria were as follows: chronic respiratory failure due to chronic respiratory diseases, such as chronic obstructive pulmonary disease; bronchiectasis or lung fibrosis; AKI prior to the onset of ARDS; and inability or unwillingness to provide informed consent (<xref ref-type="fig" rid="F1">Figure 1</xref>). The study protocol was approved by the China-Japan Friendship Hospital ethics committee. China-Japan Friendship Hospital is the national clinical research center for respiratory disease in China, so most ARDS patients in the MICU are intrapulmonary ARDS. The respiratory support our center can provide includes High-flow Nasal Cannula (HFNC), non-invasive positive pressure ventilation (NPPV), invasive positive pressure ventilation (IPPV) and extracorporeal membrane oxygenation (ECMO) as well as continuous renal replacement therapy (CRRT) renal support. The clinician decided the methods of ventilation and when to start the renal support according to the guidelines (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Epidemiological, demographic, clinical, laboratory, treatment and outcome data were extracted from electronic medical records using the specialized case report form by the investigators. The data for this study were a <italic>post hoc</italic> analysis derived from this registry database.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Consort flow chart.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-987437-g001.tif"/>
</fig>
</sec>
<sec id="S2.SS2">
<title>Definitions</title>
<p>The clinical diagnosis of ARDS, according to the Berlin ARDS definition, includes the following: (1) the presence of acute hypoxemic respiratory failure; (2) onset of respiratory symptoms within 1 week or the presence of new (within 7 days) or worsening respiratory symptoms; (3) bilateral opacities on chest X-ray or computed tomography not fully explained by effusions, lobar or lung collapse, or nodules; and (4) acute hypoxemic respiratory failure not caused by cardiac failure or fluid overload. All ICU patients who had acute hypoxemia with PaO<sub>2</sub>/FIO<sub>2</sub> (P/F) &#x2264; 300 mmHg were screened for ARDS. Patients with ARDS were categorized on the day of ARDS diagnosis based on their PaO2/FIO2 ratios into mild (200 &#x003C; PaO<sub>2</sub>/FIO<sub>2</sub> &#x2264; 300 mmHg), moderate (100 &#x003C; PaO2/FIO2 &#x2264; 200 mmHg), and severe (PaO2/FIO2 &#x2264; 100 mmHg) according to the Berlin definition. AKI was diagnosed and graded according to the Kidney Disease Improving Global Outcomes (KDIGO) 2012 guidelines using serum creatinine (SCr) and urine output criteria (<xref ref-type="bibr" rid="B16">16</xref>). Patient baseline SCr values were obtained between 7 and 365 days before hospitalization. However, if the measured baseline SCr was unavailable, an estimated baseline creatinine, according to the Modification of Diet in Renal Disease (MDRD) formula assuming a GFR of 75 ml/min, was used (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). If a patient had a reported history of CKD, their estimated SCr was back-calculated with the MDRD formula assuming a GFR of 60 ml/min. Renal recovery was defined as alive, free of renal replacement treatment (RRT), improvement in SCr &#x003C; 1.5 times the baseline SCr, and urine output &#x003E; 0.5 mL/kg/h for more than 6 h (<xref ref-type="bibr" rid="B19">19</xref>). Early AKI was defined as AKI occurring within 48 h of ARDS diagnosis. Patients who developed AKI later than 48 h after ARDS diagnosis were classified into the late AKI group (<xref ref-type="bibr" rid="B20">20</xref>). The observation period of this study was from admission to discharge.</p>
<p>Day 1 was defined as the first day that the ARDS criteria were met after ICU admission. Each patient with ARDS was followed up to 28 days after diagnosis, until hospital discharge, or death. The risk factors for ARDS included intrapulmonary (pneumonia, aspiration, and drowning pulmonary contusion) and extrapulmonary factors (trauma, extrapulmonary sepsis, non-cardiogenic shock and blood transfusion) (<xref ref-type="bibr" rid="B21">21</xref>). The acute physiology and chronic health evaluation (APACHE) II score and sequential organ failure assessment (SOFA) score were recorded using data from the first 24 h in the ICU. SOFA scores &#x2265; 3 referring to one organ were defined as failure of the respective organ. Shock was defined as arterial systolic blood pressure less than 90 mmHg, mean arterial pressure less than 60 mmHg, or the use of norepinephrine at any dosage to maintain systolic blood pressure at 90 mmHg or higher or mean arterial pressure at 60 mmHg or higher. Barotrauma refers to pneumothorax, pneumomediastinum, subcutaneous emphysema, pneumopericardium. Invasive ventilator-free days were calculated as the number of days from weaning from invasive ventilation to day 28. Patients who died before weaning were considered to have a ventilator-free-day value of 0. The immunosuppressed state included the following: corticosteroid or immunosuppressant use within 90 days, seropositive for human immunodeficiency virus, malignant tumor, and patients receiving radiation therapy or chemotherapy for an underlying malignancy within 90 days (<xref ref-type="bibr" rid="B22">22</xref>). The respiratory support method recorded in this paper is the maximal respiratory support method for the patient during hospitalization. Mechanical ventilation parameters, arterial blood gas, and fluid balance were collected for the first 14 days and on Day 21 and Day 28 after the onset of ARDS. Laboratory examination (blood examinations, coagulation profiles and BNP or NT-proBNP) was recorded for the first 4 days and on Day 7. Serum creatinine, urine volume, and the use of RRT were recorded daily until 28 days after ARDS diagnosis or hospital discharge to determine the highest stage of AKI. Fluid input included all fluids infused by intravenous or enteral routes. Fluid output included urine output, volume of fecal matter and fluid loss from drains. Fluid balance was calculated as the difference between fluid input and fluid output. All data were recorded as close as possible to 8 AM each day. Exposure to nephrotoxic agents included vancomycin, aminoglycoside, sulfamethoxazole-trimethoprim, colistin, amphotericin B, voriconazole, angiotensin converting enzyme inhibitors/angiotensin receptor blockers (ACEIs/ARBs), diuretics, cyclosporine and non-steroid anti-inflammatory drugs (NSAIDs) before AKI was diagnosed.</p>
</sec>
<sec id="S2.SS3">
<title>Statistical analysis</title>
<p>Categorical variables were analyzed using the &#x03C7;<sup>2</sup> test or Fisher&#x2019;s exact test, and continuous variables were analyzed using Student&#x2019;s <italic>t</italic>-test or the Mann&#x2013;Whitney <italic>U</italic> test. After testing the distribution of continuous variables, normally distributed variables were presented as the mean &#x00B1; SD, and non-normally distributed variables were presented as the median (interquartile range). Multivariate analysis was performed to evaluate potential explanatory variables (i.e., variables found to be both clinically significant and statistically significant in univariate analyses) for AKI and clinical outcomes, which were expressed as the odds ratio (OR) and its 95% confidence interval (CI). Survival was assessed by the Kaplan&#x2013;Meier method and compared between groups using the log-rank test. The hazard ratios of variables related to 28-day mortality were estimated with a Cox proportional hazards regression model. A two-sided p value less than 0.05 was considered statistically significant. SPSS 24.0 (SPSS, Chicago, IL, USA) was used for all statistical analyses (<xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Baseline characteristics and clinical features</title>
<p>During the observation period, a total of 311 patients were diagnosed with ARDS and met the inclusion criteria. Of these patients, the mean age was 56.6 years, and 216 (69.5%) were male. One hundred twenty-two (39.2%) patients had a history of hypertension, 68 (21.9%) had diabetes mellitus, 32 (10.3%) had coronary heart disease, 26 (8.4%) had CKD, 23 (7.4%) had chronic respiratory disease, 3 (0.9%) had chronic liver disease, 28 (9%) had cerebrovascular disease, and 27 (8.7%) had connective tissue disease. Seven (2.3%) patients had a history of drinking, 124 (39.9%) patients had a history of smoking, 10 (3.2%) patients had surgery in the past 3 months, and 124 (39.9%) patients were immunosuppressed. AKI developed in 161 (51.8%) of the 311 patients with ARDS: 91 (56.5%) patients developed AKI within 48 h of ARDS diagnosis, whereas 70 (43.5%) developed AKI later than 48 h. Basal creatinine values were available for 28 patients, and the remaining 283 patient&#x2019;s baseline creatinine were estimated by back calculation with the MDRD equation. There were no missing results for other parameters in the result section and also no lost-to-follow-up populations in this study.</p>
</sec>
<sec id="S3.SS2">
<title>Factors and clinical outcomes associated with the development of acute kidney injury</title>
<p>Patients in the AKI group were significantly older (59.7 &#x00B1; 16.5 vs. 53.2 &#x00B1; 15.8 years, <italic>p</italic> = 0.00) and had a greater proportion of hypertension (44.7% vs. 33.3%, <italic>p</italic> = 0.04), diabetes mellitus (27.3% vs. 16%, p = 0.02), coronary heart disease (13.7% vs. 6.7%, <italic>p</italic> = 0.04) and CKD (14.3% vs. 2%, <italic>p</italic> = 0.00) than patients in the non-AKI group. Patients with AKI had a greater proportion of multiple comorbidities (<xref ref-type="table" rid="T1">Table 1</xref>). <xref ref-type="table" rid="T2">Table 2</xref> shows the physiology and organ dysfunction parameters on admission, laboratory results and treatments. Admission APACHE II (21 vs. 16, <italic>p</italic> = 0.00) and SOFA scores (8 vs. 5, <italic>p</italic> = 0.00) were significantly higher in patients with AKI than in those without AKI. Shock was observed in 109 (67.7%) of 161 patients with AKI and in 48 (32%) of 150 patients without AKI (<italic>p</italic> = 0.00). There was no significant difference in the cause or severity of ARDS between the two groups. Regarding the laboratory indicators, patients with AKI had a higher prevalence of metabolic acidosis in the first 3 days and a higher level of lactic acid. In addition, AKI patients&#x2019; white blood cell and BNP/NT-proBNP levels were significantly higher than those of patients without AKI. However, there was no association between ventilator parameter settings, airway plateau pressure, peak airway pressure, airway resistance, compliance and the development of AKI among ARDS patients. The number of patients in the AKI group who needed NPPV was significantly lower than that in the non-AKI group (12 vs. 24, <italic>p</italic> = 0.02), whereas the number of patients who needed ECMO support in the AKI group was significantly higher than that in the non-AKI group (41 vs. 21, <italic>p</italic> = 0.01). AKI patients had more fluid accumulation than non-AKI patients on Day 1 (285 vs. 0, <italic>p</italic> = 0.00) and Day 6 (153 vs. &#x2013;32, <italic>p</italic> = 0.03).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Baseline characteristics by acute kidney injury.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">AKI (<italic>n</italic> = 161)</td>
<td valign="top" align="center">Non-AKI (<italic>n</italic> = 150)</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, mean(SD), years</td>
<td valign="top" align="center">59.7 (16.5)</td>
<td valign="top" align="center">53.2 (15.8)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Male, (<italic>n</italic>%)</td>
<td valign="top" align="center">119 (73.9%)</td>
<td valign="top" align="center">97 (64.7%)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">BMI, median(IQR), kg/m<sup>2</sup></td>
<td valign="top" align="center">24(22,27)</td>
<td valign="top" align="center">24(22,27)</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Comorbidities, (<italic>n</italic>%)</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">72 (44.7%)</td>
<td valign="top" align="center">50 (33.3%)</td>
<td valign="top" align="center">0.04<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">44 (27.3%)</td>
<td valign="top" align="center">24 (16%)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease</td>
<td valign="top" align="center">22 (13.7%)</td>
<td valign="top" align="center">10 (6.7%)</td>
<td valign="top" align="center">0.04<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Congestive heart failure</td>
<td valign="top" align="center">8 (5%)</td>
<td valign="top" align="center">2 (1.3%)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">23 (14.3%)</td>
<td valign="top" align="center">3 (2%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Chronic respiratory disease</td>
<td valign="top" align="center">11 (6.8%)</td>
<td valign="top" align="center">12 (8%)</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">1 (0.6%)</td>
<td valign="top" align="center">2 (1.3%)</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular disease</td>
<td valign="top" align="center">19 (11.8%)</td>
<td valign="top" align="center">9 (6%)</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">Connective tissue disease</td>
<td valign="top" align="center">17 (10.6%)</td>
<td valign="top" align="center">10 (6.7%)</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking</td>
<td valign="top" align="center">3 (1.9%)</td>
<td valign="top" align="center">4 (2.7%)</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">0 comorbidity</td>
<td valign="top" align="center">40(24.8%)</td>
<td valign="top" align="center">44(29.5%)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">1 comorbidity</td>
<td valign="top" align="center">26 (16.1%)</td>
<td valign="top" align="center">48 (32%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">2 comorbidities</td>
<td valign="top" align="center">48 (29.8%)</td>
<td valign="top" align="center">37 (24.7%)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">2 + comorbidities</td>
<td valign="top" align="center">47 (29.2%)</td>
<td valign="top" align="center">21 (14%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t1fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">72 (44.7%)</td>
<td valign="top" align="center">52 (34.7%)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Surgery in the past 3 months</td>
<td valign="top" align="center">3 (1.9%)</td>
<td valign="top" align="center">7 (4.7%)</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">Immunosuppression</td>
<td valign="top" align="center">64 (39.8%)</td>
<td valign="top" align="center">60 (40%)</td>
<td valign="top" align="center">0.96</td>
</tr>
<tr>
<td valign="top" align="left">Transferred from other hospital</td>
<td valign="top" align="center">34(21.1%)</td>
<td valign="top" align="center">28(18.8%)</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Cause of ARDS, (<italic>n</italic>%)</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Intrapulmonary</td>
<td valign="top" align="center">154 (95.7%)</td>
<td valign="top" align="center">143 (95.3%)</td>
<td valign="top" align="center">0.89</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>AKI, acute kidney injury; ARDS, acute respiratory distress syndrome; BMI, body mass index; SD, standard deviation; IQR, interquartile range.</p></fn>
<fn id="t1fna"><p><sup>a</sup>p &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Physiology and organ dysfunction parameters on admission, ventilator settings on day 1, arterial blood gas on day 1&#x2013;3, laboratory indicators, medication history and fluid balance.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">AKI (161)</td>
<td valign="top" align="center">Non-AKI (150)</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">APACHE II, median (IQR)</td>
<td valign="top" align="center">21 (16, 26)</td>
<td valign="top" align="center">16 (11, 22)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">SOFA, median (IQR)</td>
<td valign="top" align="center">8 (6, 12)</td>
<td valign="top" align="center">5 (3, 8)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Severity of ARDS on day 1, (<italic>n</italic>%)</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">21 (13%)</td>
<td valign="top" align="center">22 (14.7%)</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">84 (52.2%)</td>
<td valign="top" align="center">72 (48%)</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">56 (34.8%)</td>
<td valign="top" align="center">56 (37.3%)</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left">Shock, (<italic>n</italic>%)</td>
<td valign="top" align="center">109 (67.7%)</td>
<td valign="top" align="center">48 (32%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Arterial blood gases (averaged on day 1&#x2013;3)</bold></td>
</tr>
<tr>
<td valign="top" align="left">pH, median (IQR)</td>
<td valign="top" align="center">7.41 (7.36,7.45)</td>
<td valign="top" align="center">7.45 (7.4,7.47)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">PaCO2, median (IQR), mmHg</td>
<td valign="top" align="center">38.2 (32.4,45.6)</td>
<td valign="top" align="center">36 (32,42.5)</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">PaO2, median (IQR), mmHg</td>
<td valign="top" align="center">81.3 (70.7, 92.8)</td>
<td valign="top" align="center">80.33 (68.8,91.2)</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">PaO2/FiO2, median (IQR)</td>
<td valign="top" align="center">123.7 (93.7, 170.7)</td>
<td valign="top" align="center">133 (96.5,185.9)</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">HCO3-, mean (<italic>SD</italic>), mmol/L</td>
<td valign="top" align="center">23.5 (4.2)</td>
<td valign="top" align="center">24.6 (3.9)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">cLac, median (IQR), mmol/L</td>
<td valign="top" align="center">1.7 (1.3,2.1)</td>
<td valign="top" align="center">1.4 (1.2,1.7)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Ventilator settings</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Vt/kg, median (IQR), ml/kg</td>
<td valign="top" align="center">6.2(5.1, 8.0)</td>
<td valign="top" align="center">6.4(4.6, 8.0)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">PEEP, median (IQR), cmH<sub>2</sub>O</td>
<td valign="top" align="center">9 (7, 12)</td>
<td valign="top" align="center">10 (7.5, 12)</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">FiO<sub>2</sub>, median (IQR)</td>
<td valign="top" align="center">0.7(0.5, 0.8)</td>
<td valign="top" align="center">0.7 (0.5, 0.8)</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">Pplat, mean (<italic>SD</italic>), cmH<sub>2</sub>O</td>
<td valign="top" align="center">20.6 (6.2)</td>
<td valign="top" align="center">18.3 (6.2)</td>
<td valign="top" align="center">0.49</td>
</tr>
<tr>
<td valign="top" align="left">Ppeak, mean (<italic>SD</italic>), cmH<sub>2</sub>O</td>
<td valign="top" align="center">24 (5)</td>
<td valign="top" align="center">24.6 (4.6)</td>
<td valign="top" align="center">0.42</td>
</tr>
<tr>
<td valign="top" align="left">C, mean (<italic>SD</italic>), ml/cmH<sub>2</sub>O</td>
<td valign="top" align="center">39.5 (19.8)</td>
<td valign="top" align="center">34.6 (14)</td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">R, median (IQR), cmH<sub>2</sub>O/L/S</td>
<td valign="top" align="center">15.4 (12.8, 18.7)</td>
<td valign="top" align="center">13 (10, 17.5)</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Laboratory examination, median (IQR)</bold></td>
</tr>
<tr>
<td valign="top" align="left">WBC, &#x00D7; 109/L</td>
<td valign="top" align="center">10.9 (6.8, 16.3)</td>
<td valign="top" align="center">8.6 (5.7, 13.1)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">NEU, &#x00D7; 109/L</td>
<td valign="top" align="center">8.6 (4.1, 13.5)</td>
<td valign="top" align="center">7.4 (4.4, 11.3)</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">LYM, &#x00D7; 109/L</td>
<td valign="top" align="center">0.5 (0.3, 1)</td>
<td valign="top" align="center">0.5 (0.3, 0.9)</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">BNP, pg/ml</td>
<td valign="top" align="center">244 (88.2, 602.9)</td>
<td valign="top" align="center">101 (39, 251.3)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP, pg/ml</td>
<td valign="top" align="center">1414 (5145.3,380.3)</td>
<td valign="top" align="center">369 (135.5,1075.5)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Maximal respiratory support, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">HFNC</td>
<td valign="top" align="center">20 (12.4%)</td>
<td valign="top" align="center">30 (20%)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">NPPV</td>
<td valign="top" align="center">12 (7.4%)</td>
<td valign="top" align="center">24 (16%)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">IPPV</td>
<td valign="top" align="center">88 (54.7%)</td>
<td valign="top" align="center">75 (50%)</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">ECMO</td>
<td valign="top" align="center">41 (25.5%)</td>
<td valign="top" align="center">21 (14%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Barotrauma, (<italic>n</italic>%)</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Nephrotoxic agents, (<italic>n</italic>%)</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Vancomycin</td>
<td valign="top" align="center">17 (10.6%)</td>
<td valign="top" align="center">27 (18%)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Aminoglycoside</td>
<td valign="top" align="center">15 (9.3%)</td>
<td valign="top" align="center">13 (8.7%)</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">Sulfamethoxazole- Trimethoprim</td>
<td valign="top" align="center">51 (31.7%)</td>
<td valign="top" align="center">49 (32.7%)</td>
<td valign="top" align="center">0.85</td>
</tr>
<tr>
<td valign="top" align="left">Colistin</td>
<td valign="top" align="center">13 (8.1%)</td>
<td valign="top" align="center">14 (9.3%)</td>
<td valign="top" align="center">0.69</td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td valign="top" align="center">19 (11.8%)</td>
<td valign="top" align="center">11 (7.3%)</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARB</td>
<td valign="top" align="center">1 (0.6%)</td>
<td valign="top" align="center">1 (0.7%)</td>
<td valign="top" align="center">0.96</td>
</tr>
<tr>
<td valign="top" align="left">NSAIDs</td>
<td valign="top" align="center">15 (9.3%)</td>
<td valign="top" align="center">19 (12.7%)</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">Diuretics</td>
<td valign="top" align="center">48 (29.8%)</td>
<td valign="top" align="center">58 (38.7%)</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td valign="top" align="center">35 (21.7%)</td>
<td valign="top" align="center">40 (26.7%)</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">Cyclosporine</td>
<td valign="top" align="center">4 (2.5%)</td>
<td valign="top" align="center">4 (2.7%)</td>
<td valign="top" align="center">0.92</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Fluid balance, median (IQR), ml</bold></td>
</tr>
<tr>
<td valign="top" align="left">D1</td>
<td valign="top" align="center">285 (&#x2013;242,987)</td>
<td valign="top" align="center">0 (&#x2013;492,561)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">D2</td>
<td valign="top" align="center">365 (&#x2013;496,1169)</td>
<td valign="top" align="center">179 (&#x2013;445,869)</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left">D3</td>
<td valign="top" align="center">&#x2013;131 (&#x2013;987,773)</td>
<td valign="top" align="center">54 (&#x2013;749,737)</td>
<td valign="top" align="center">0.48</td>
</tr>
<tr>
<td valign="top" align="left">D4</td>
<td valign="top" align="center">&#x2013;219 (&#x2013;976,915)</td>
<td valign="top" align="center">&#x2013;20 (&#x2013;641,604)</td>
<td valign="top" align="center">0.92</td>
</tr>
<tr>
<td valign="top" align="left">D5</td>
<td valign="top" align="center">16 (&#x2013;746,1010)</td>
<td valign="top" align="center">&#x2013;180 (&#x2013;740,436)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">D6</td>
<td valign="top" align="center">153 (&#x2013;545,919)</td>
<td valign="top" align="center">&#x2013;32 (&#x2013;1028,473)</td>
<td valign="top" align="center">0.03<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">D7</td>
<td valign="top" align="center">&#x2013;20 (&#x2013;619,796)</td>
<td valign="top" align="center">&#x2013;95 (&#x2013;792,600)</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">CRRT, (<italic>n</italic>%)</td>
<td valign="top" align="center">38 (23.6%)</td>
<td valign="top" align="center">7 (4.6%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t2fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Onset of CRRT, days, median(IQR)</td>
<td valign="top" align="center">1(0,2.3)</td>
<td valign="top" align="center">3(1,6)</td>
<td valign="top" align="center">0.06</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>APACHE, acute physiology, age, chronic health evaluation; SOFA, sequential organ failure assessment; VT, tidal volume; PEEP, positive end- expiratory pressure; Pplat, plateau pressure values; Ppeak, peak inspiratory pressure; C, compliance; R, resistance; HFNC, high flow nasal cannula; IPPV, invasive positive pressure ventilation; NPPV, non- invasive positive pressure ventilation; EMCO, extracorporeal membrane oxygenation; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blocker; NSAIDs, non-steroidal antiinflammatory drugs; CRRT, continuous renal replacement therapy.</p></fn>
<fn id="t2fna"><p><sup>a</sup>p &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>After adjustment in a multivariable analysis model, the development of AKI was independently associated with age [OR 1.027, 95% CI 1.009&#x2013;1.045], a history of diabetes mellitus [OR 2.110, 95% CI 1.100&#x2013;4.046], a history of CKD [OR 9.328, 95% CI 2.393&#x2013;36.363], APACHE II score [OR 1.049, 95% CI 1.008&#x2013;1.092], the average lactate level in the first 3 days [OR 1.965, 95% CI 1.287&#x2013;3.020] and the use of ECMO support [OR 2.359, 95% CI 1.154&#x2013;4.824].</p>
<p>Although the length of ICU stay did not differ between the patients with ARDS with and without AKI, the invasive ventilation-free days to Day 28 were significantly shorter. Moreover, the 28 days mortality and ICU mortality were apparently higher in patients with AKI (<xref ref-type="table" rid="T3">Table 3</xref>). Kaplan&#x2013;Meier analysis revealed a significantly higher 28-day mortality rate for patients with AKI (Log-Rank chi-square = 21.313, <italic>p</italic> = 0.00, <xref ref-type="fig" rid="F2">Figure 2</xref>). The hazard ratio for AKI in 28-day mortality of ARDS patients, estimated using a Cox proportional hazards regression model, was 1.488 (95% CI 1.006&#x2013;2.201, <italic>p</italic> = 0.046).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Outcomes among patients with and without acute kidney injury.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">AKI (<italic>n</italic> = 161)</td>
<td valign="top" align="center">Non-AKI (<italic>n</italic> = 150)</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Invasive ventilation-free days to day 28, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">8.4 (10.8%)</td>
<td valign="top" align="center">16.5 (11.9%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t3fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Length of ICU stay, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">22.6 (21.2%)</td>
<td valign="top" align="center">22.1 (23.6%)</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">Withdrawal of treatment, (<italic>n</italic>%)</td>
<td valign="top" align="center">19(11.8%)</td>
<td valign="top" align="center">15(10.0%)</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">28 days mortality, (<italic>n</italic>%)</td>
<td valign="top" align="center">80(49.7%)</td>
<td valign="top" align="center">36(24.0%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t3fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">ICU Mortality, (<italic>n</italic>%)</td>
<td valign="top" align="center">92 (57.1%)</td>
<td valign="top" align="center">40 (26.7%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t3fna"><sup>a</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fna"><p><sup>a</sup>p &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Kaplan&#x2013;Meier analysis revealed a significantly higher 28-day mortality rate for patients with AKI.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-987437-g002.tif"/>
</fig>
<p>Acute kidney injury was significantly more prevalent in patients with ECMO support. But the onset of AKI, CRRT and 28-day mortality was no different in ECMO patients (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>The onset of AKI, CRRT and 28-day mortality of ARDS patients with and without ECMO support.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">ECMO<break/>(<italic>n</italic> = 62)</td>
<td valign="top" align="center">Non-ECMO<break/>(<italic>n</italic> = 249)</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">AKI, (<italic>n</italic>%)</td>
<td valign="top" align="center">41(66.1%)</td>
<td valign="top" align="center">120(48.2%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t4fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">onset of AKI, days, median (IQR)</td>
<td valign="top" align="center">1(1, 3)</td>
<td valign="top" align="center">1(0, 5)</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left">onset of CRRT, days, median (IQR)</td>
<td valign="top" align="center">1(0, 5)</td>
<td valign="top" align="center">1.5(0, 3)</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">28-day Mortality, (<italic>n</italic>%)</td>
<td valign="top" align="center">25(40.3%)</td>
<td valign="top" align="center">91(36.5%)</td>
<td valign="top" align="center">0.56</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fna"><p><sup>a</sup>p &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Factors associated with the in-hospital mortality of patients with acute respiratory distress syndrome with acute kidney injury</title>
<p>Overall, the in-hospital mortality rate for ARDS patients was 42.4%. However, the mortality rate was 57.1% in patients with ARDS with AKI. In univariate analysis, the patients who died with ARDS and AKI were older (62.9 vs. 55.5, <italic>p</italic> = 0.00), had a lower body mass index (23.9 vs. 25.4, <italic>p</italic> = 0.03) and were less likely to be hypertensive (35.9% vs. 56.9%, <italic>p</italic> = 0.01). The incidence of shock was significantly higher among deceased patients (93.5% vs. 33.3%, <italic>p</italic> = 0.00). Mild ARDS was more common in survivors (21.7% vs. 6.5%, <italic>p</italic> = 0.01). The P<sub><italic>a</italic></sub>O<sub>2</sub>/FiO<sub>2</sub> was higher (143 vs. 112.9, <italic>p</italic> = 0.00) and the FiO<sub>2</sub> (0.6 vs. 0.7, <italic>p</italic> = 0.00) was lower in this group. Due to the higher shock incidence, a lower PaO<sub>2</sub>/FiO<sub>2</sub> and more severe ARDS status, the deceased patients had significantly higher cLac levels (1.8 vs. 1.6, <italic>p</italic> = 0.00). For AKI severity, the majority of deceased patients were in stage 2, whereas most survivors were in stage 3, and the baseline Cr was significantly higher in the survivor group (143.3 vs. 86.6, <italic>p</italic> = 0.00). Ventilator-specific variables and nephrotoxic drugs were not correlated with the mortality of ARDS combined with AKI patients. However, regarding fluid accumulation, the deceased patients had significantly greater fluid accumulation than the survivors, especially on D2, D3, D4, and D7 (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Factors associated with the in-hospital mortality of ARDS patients combined with AKI.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Survivors (<italic>n</italic> = 69)</td>
<td valign="top" align="center">Unsurvivors (<italic>n</italic> = 92)</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Baseline characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Age, mean (<italic>SD</italic>), years</td>
<td valign="top" align="center">55.5 (15.3)</td>
<td valign="top" align="center">62.9 (16.8)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Male, (<italic>n</italic>%)</td>
<td valign="top" align="center">48 (69.6%)</td>
<td valign="top" align="center">71 (77.2%)</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left">BMI, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">25.4 (4.2)</td>
<td valign="top" align="center">23.9 (4.2)</td>
<td valign="top" align="center">0.03<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Comorbidities, (<italic>n</italic>%)</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">39 (56.9%)</td>
<td valign="top" align="center">33 (35.9%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">22 (31.9%)</td>
<td valign="top" align="center">22 (23.9%)</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease</td>
<td valign="top" align="center">10 (14.5%)</td>
<td valign="top" align="center">12 (13%)</td>
<td valign="top" align="center">0.79</td>
</tr>
<tr>
<td valign="top" align="left">Congestive heart failure</td>
<td valign="top" align="center">4 (5.8%)</td>
<td valign="top" align="center">4 (4.3%)</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">12 (17.4%)</td>
<td valign="top" align="center">11 (12%)</td>
<td valign="top" align="center">0.33</td>
</tr>
<tr>
<td valign="top" align="left">Chronic respiratory disease</td>
<td valign="top" align="center">3 (4.3%)</td>
<td valign="top" align="center">8 (8.7%)</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">1 (1.1%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular disease</td>
<td valign="top" align="center">12 (17.4%)</td>
<td valign="top" align="center">7 (7.6%)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Connective tissue disease</td>
<td valign="top" align="center">7 (10.1%)</td>
<td valign="top" align="center">10 (10.9%)</td>
<td valign="top" align="center">0.88</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking</td>
<td valign="top" align="center">1 (1.4%)</td>
<td valign="top" align="center">2 (2.2%)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">31 (44.9%)</td>
<td valign="top" align="center">41 (45.1%)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Immunosuppression</td>
<td valign="top" align="center">27 (39.1%)</td>
<td valign="top" align="center">37 (40.2%)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">APACHE II, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">21.4 (6.8)</td>
<td valign="top" align="center">22.1 (7.9)</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">SOFA, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">8.8 (4)</td>
<td valign="top" align="center">8.9 (4.4)</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">Shock, (<italic>n</italic>%)</td>
<td valign="top" align="center">23 (33.3%)</td>
<td valign="top" align="center">86 (93.5%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Cause of ARDS, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Intrapulmonary</td>
<td valign="top" align="center">64 (92.8%)</td>
<td valign="top" align="center">90 (97.8%)</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Severity of ARDS on day 1, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">15 (21.7%)</td>
<td valign="top" align="center">6 (6.5%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">35 (50.7%)</td>
<td valign="top" align="center">51 (55.4%)</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">19 (27.5%)</td>
<td valign="top" align="center">35 (38.0%)</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Arterial blood gas analysis (average on day 1&#x2013;3)</bold></td>
</tr>
<tr>
<td valign="top" align="left">pH, median (IQR)</td>
<td valign="top" align="center">7.41 (7.37,7.45)</td>
<td valign="top" align="center">7.41 (7.34,7.45)</td>
<td valign="top" align="center">0.50</td>
</tr>
<tr>
<td valign="top" align="left">PaCO2, median (IQR), mmHg</td>
<td valign="top" align="center">37.2 (32,43.1)</td>
<td valign="top" align="center">39.3 (32.7,47.7)</td>
<td valign="top" align="center">0.18</td>
</tr>
<tr>
<td valign="top" align="left">PaO2, median (IQR), mmHg</td>
<td valign="top" align="center">83.7 (72.6,93.7)</td>
<td valign="top" align="center">79.8 (69.4,92)</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">P<sub><italic>a</italic></sub>O<sub>2</sub>/FiO<sub>2</sub>, median (IQR)</td>
<td valign="top" align="center">143 (112.8,207)</td>
<td valign="top" align="center">112.9 (86.9,148.1)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">HCO3-, mean (SD), mmol/L</td>
<td valign="top" align="center">23.5 (4.2)</td>
<td valign="top" align="center">23.5 (4.2)</td>
<td valign="top" align="center">0.95</td>
</tr>
<tr>
<td valign="top" align="left">cLac, median (IQR), mmol/L</td>
<td valign="top" align="center">1.6 (1.2,2.1)</td>
<td valign="top" align="center">1.8 (1.5,2.3)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Ventilator settings, mean (<italic>SD</italic>)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Vt/Kg, ml</td>
<td valign="top" align="center">6.8 (1.7)</td>
<td valign="top" align="center">6.9(1.8)</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">PEEP, cmH2O</td>
<td valign="top" align="center">10 (4.4)</td>
<td valign="top" align="center">9.1 (2.8)</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">FiO2</td>
<td valign="top" align="center">0.6 (0.2)</td>
<td valign="top" align="center">0.7 (0.2)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Pplat, cmH2O</td>
<td valign="top" align="center">19.3 (5.5)</td>
<td valign="top" align="center">21.6 (6.7)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">Ppeak, cmH2O</td>
<td valign="top" align="center">23.7 (5.1)</td>
<td valign="top" align="center">24.2 (5)</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left">C, ml/cmH2O</td>
<td valign="top" align="center">32.7 (16.9)</td>
<td valign="top" align="center">43.5 (20.8)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" align="left">R, cmH2O/L/S</td>
<td valign="top" align="center">17.9 (5.9)</td>
<td valign="top" align="center">15.5 (7.5)</td>
<td valign="top" align="center">0.43</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Laboratory examination, mean (<italic>SD</italic>)</bold></td>
</tr>
<tr>
<td valign="top" align="left">WBC, &#x00D7; 109/L</td>
<td valign="top" align="center">11.1 (6.4)</td>
<td valign="top" align="center">14 (12)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">NEU, &#x00D7; 109/L</td>
<td valign="top" align="center">8.6 (6.4)</td>
<td valign="top" align="center">11.2 (10.5)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">LYM, &#x00D7; 109/L</td>
<td valign="top" align="center">0.7 (0.6)</td>
<td valign="top" align="center">0.8 (1.2)</td>
<td valign="top" align="center">0.84</td>
</tr>
<tr>
<td valign="top" align="left">BNP, pg/ml</td>
<td valign="top" align="center">385.1 (431.5)</td>
<td valign="top" align="center">621.2 (1027.2)</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP, pg/ml</td>
<td valign="top" align="center">2295.6 (2963.7)</td>
<td valign="top" align="center">5462.2 (8662.5)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">Baseline Cr, median (IQR), mmol/L</td>
<td valign="top" align="center">143.3 (83.9,285.2)</td>
<td valign="top" align="center">86.6 (67.6,128.8)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Peak serum creatinine, median (IQR), mmol/L</td>
<td valign="top" align="center">229.1 (151.4,593)</td>
<td valign="top" align="center">238.6 (169.7, 319.9)</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Serum creatinine increase, median (IQR), mmol/L</td>
<td valign="top" align="center">141.4 (60.7, 485.1)</td>
<td valign="top" align="center">147.2 (81.6, 224.7)</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Maximal respiratory support (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">HFNC</td>
<td valign="top" align="center">5 (7.2%)</td>
<td valign="top" align="center">15 (16.3%)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">NPPV</td>
<td valign="top" align="center">3 (4.3%)</td>
<td valign="top" align="center">9 (9.8%)</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">IPPV</td>
<td valign="top" align="center">41 (59.4%)</td>
<td valign="top" align="center">47 (51.1%)</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">ECMO</td>
<td valign="top" align="center">20 (29.0%)</td>
<td valign="top" align="center">21 (22.8%)</td>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left">Baro-trauma</td>
<td valign="top" align="center">4 (5.8%)</td>
<td valign="top" align="center">4 (4.3%)</td>
<td valign="top" align="center">0.73</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Severity of AKI (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Stage 1</td>
<td valign="top" align="center">21 (30.4%)</td>
<td valign="top" align="center">20 (21.7%)</td>
<td valign="top" align="center">0.21</td>
</tr>
<tr>
<td valign="top" align="left">Stage 2</td>
<td valign="top" align="center">13 (18.8%)</td>
<td valign="top" align="center">37 (40.2%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Stage 3</td>
<td valign="top" align="center">35 (50.7%)</td>
<td valign="top" align="center">35 (38%)</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Nephrotoxic drug (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Vancomycin</td>
<td valign="top" align="center">7 (10.1%)</td>
<td valign="top" align="center">10 (10.9%)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Aminoglycoside</td>
<td valign="top" align="center">3 (4.3%)</td>
<td valign="top" align="center">12 (13%)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Sulfamethoxazole- trimethoprim</td>
<td valign="top" align="center">17 (24.6%)</td>
<td valign="top" align="center">34 (37%)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Colistin</td>
<td valign="top" align="center">3 (4.3%)</td>
<td valign="top" align="center">10 (10.9%)</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td valign="top" align="center">6 (8.7%)</td>
<td valign="top" align="center">13 (14.1%)</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARB</td>
<td valign="top" align="center">1 (1.1%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">NSAIDs</td>
<td valign="top" align="center">6 (8.7%)</td>
<td valign="top" align="center">9 (9.8%)</td>
<td valign="top" align="center">0.81</td>
</tr>
<tr>
<td valign="top" align="left">Diuretics</td>
<td valign="top" align="center">19 (27.5%)</td>
<td valign="top" align="center">29 (31.5%)</td>
<td valign="top" align="center">0.58</td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td valign="top" align="center">12 (17.4%)</td>
<td valign="top" align="center">23 (25%)</td>
<td valign="top" align="center">0.25</td>
</tr>
<tr>
<td valign="top" align="left">Cyclosporine</td>
<td valign="top" align="center">3 (4.3%)</td>
<td valign="top" align="center">1 (1.1%)</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Fluid balance, ml</bold></td>
</tr>
<tr>
<td valign="top" align="left">D1, median (IQR)</td>
<td valign="top" align="center">285 (&#x2013;386.5,96)</td>
<td valign="top" align="center">285 (&#x2013;117.8,1068.8)</td>
<td valign="top" align="center">0.27</td>
</tr>
<tr>
<td valign="top" align="left">D2, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;122.2 (1365.9)</td>
<td valign="top" align="center">778.5 (1508.7)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">D3, median (IQR)</td>
<td valign="top" align="center">&#x2013;453 (&#x2013;1374,247)</td>
<td valign="top" align="center">319.5 (&#x2013;795,1227)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">D4, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;416.7 (1364.5)</td>
<td valign="top" align="center">311.8 (1812.1)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">D5, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;122.9 (1303.5)</td>
<td valign="top" align="center">143.3 (2123.9)</td>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left">D6, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;65.2 (1335.3)</td>
<td valign="top" align="center">364.4 (1570.8)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">D7, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;188.6 (1413)</td>
<td valign="top" align="center">428.4 (1414.1)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t5fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">CRRT, (<italic>n</italic>%)</td>
<td valign="top" align="center">15 (21.7%)</td>
<td valign="top" align="center">23 (25%)</td>
<td valign="top" align="center">0.63</td>
</tr>
<tr>
<td valign="top" align="left">Onset of CRRT, days, median (IQR)</td>
<td valign="top" align="center">1 (0,2)</td>
<td valign="top" align="center">1(0,3)</td>
<td valign="top" align="center">0.57</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t5fna"><p><sup>a</sup>p &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>After adjustment in a multivariable analysis model, the mortality of patients with ARDS combined with AKI was independently associated with shock (OR 54.943, 95% CI 9.751&#x2013;309.573).</p>
</sec>
<sec id="S3.SS4">
<title>Factors associated with the development of early and late acute kidney injury</title>
<p>Early AKI was found in 91 (56.5%) patients, and late AKI was found in 70 (43.5%) patients. Patients in the early AKI group had more hypertension (54.9% vs. 31.4%, <italic>p</italic> = 0.00) and CKD (24.2% vs. 1.4%, <italic>p</italic> = 0.00) than those in the late AKI group. Compared with patients in the late AKI group, patients in the early AKI group were more severely ill when they were admitted to the ICU based on the higher APACHE II and SOFA scores. In addition, patients in the early AKI group had a higher prevalence of metabolic acidosis and higher BNP/NT-proBNP levels. Regarding the stage of AKI between the two groups, the majority of patients in the early AKI group were in stage 3 (<italic>n</italic> = 47, 51.6%), whereas half of the patients in the late AKI group were in stage 1 and stage 2 (<italic>n</italic> = 47, 67.1%). Therefore, the peak serum creatinine in the early-onset group was significantly higher than that in the late-onset group (259.8 vs. 197.3, <italic>p</italic> = 0.00), and the use of CRRT was significantly higher in the early-onset group (30.8% vs. 14.3%, <italic>p</italic> = 0.02). The use of nephrotoxic agents, especially aminoglycosides (17.1% vs. 3.3%, <italic>p</italic> = 0.01), colistin (17.1% vs. 1.1%, <italic>p</italic> = 0.00), amphotericin B (20% vs. 5.5%, <italic>p</italic> = 0.01), NSAIDs (17.1% vs. 3.3%, <italic>p</italic> = 0.01), diuretics (44.3% vs. 18.7%, <italic>p</italic> = 0.00) and voriconazole (34.3% vs. 12.1%, <italic>p</italic> = 0.00), was significantly associated with the development of late-onset AKI. The fluid accumulation on Day 7 was significantly higher in the late-onset group than in the early-onset group. Regarding the prognostic indicators, the number of invasive ventilation-free days up to Day 28 in the early-onset group was significantly longer than that in the late-onset group, and the mortality rate was significantly lower in the early-onset group (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<table-wrap position="float" id="T6">
<label>TABLE 6</label>
<caption><p>Factors associated with the development of early and late AKI.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">Early AKI (<italic>n</italic> = 91)</td>
<td valign="top" align="center">Late AKI (<italic>n</italic> = 70)</td>
<td valign="top" align="center"><italic>p</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>Baseline characteristics</bold></td>
</tr>
<tr>
<td valign="top" align="left">Age, mean, (years)</td>
<td valign="top" align="center">60.2 (16.6)</td>
<td valign="top" align="center">59 (16.6)</td>
<td valign="top" align="center">0.65</td>
</tr>
<tr>
<td valign="top" align="left">Male, (<italic>n</italic>%)</td>
<td valign="top" align="center">64 (70.3%)</td>
<td valign="top" align="center">55 (78.6%)</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">24.7 (4.2)</td>
<td valign="top" align="center">24.3 (4.4)</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Comorbidities, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">50 (54.9%)</td>
<td valign="top" align="center">22 (31.4%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">28 (30.8%)</td>
<td valign="top" align="center">16 (22.9%)</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease</td>
<td valign="top" align="center">13 (14.3%)</td>
<td valign="top" align="center">9 (12.9%)</td>
<td valign="top" align="center">0.79</td>
</tr>
<tr>
<td valign="top" align="left">Congestive heart failure</td>
<td valign="top" align="center">7 (7.7%)</td>
<td valign="top" align="center">1 (1.4%)</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">22 (24.2%)</td>
<td valign="top" align="center">1 (1.4%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Chronic respiratory disease</td>
<td valign="top" align="center">5 (5.5%)</td>
<td valign="top" align="center">6 (8.6%)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">1 (1.4%)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular disease</td>
<td valign="top" align="center">11 (12.1%)</td>
<td valign="top" align="center">8 (11.4%)</td>
<td valign="top" align="center">0.89</td>
</tr>
<tr>
<td valign="top" align="left">Connective tissue disease</td>
<td valign="top" align="center">11 (12.1%)</td>
<td valign="top" align="center">6 (8.6%)</td>
<td valign="top" align="center">0.47</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking</td>
<td valign="top" align="center">2 (2.2%)</td>
<td valign="top" align="center">1 (1.4%)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">35 (38.5%)</td>
<td valign="top" align="center">37 (52.9%)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">Immunosuppression</td>
<td valign="top" align="center">40 (44%)</td>
<td valign="top" align="center">24 (34.3%)</td>
<td valign="top" align="center">0.21</td>
</tr>
<tr>
<td valign="top" align="left">APACHE II, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">24.2(7.5)</td>
<td valign="top" align="center">18.6 (6.3)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">SOFA, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">10.2 (4.2)</td>
<td valign="top" align="center">7 (3.6)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Shock</td>
<td valign="top" align="center">58 (63.7%)</td>
<td valign="top" align="center">51 (72.9%)</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Cause of ARDS, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Intrapulmonary</td>
<td valign="top" align="center">84 (92.3%)</td>
<td valign="top" align="center">70 (100%)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Severity of ARDS, (<italic>n</italic>%)</td>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">13 (14.3%)</td>
<td valign="top" align="center">8 (11.4%)</td>
<td valign="top" align="center">0.59</td>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">45 (49.5%)</td>
<td valign="top" align="center">39 (55.7%)</td>
<td valign="top" align="center">0.43</td>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">33 (36.3%)</td>
<td valign="top" align="center">23 (32.9%)</td>
<td valign="top" align="center">0.65</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Arterial blood gas analysis (average on day 1&#x2013;3)</bold></td>
</tr>
<tr>
<td valign="top" align="left">pH, median (IQR)</td>
<td valign="top" align="center">7.39 (7.34,7.44)</td>
<td valign="top" align="center">7.43 (7.37,7.46)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">PaCO2, median (IQR), mmHg</td>
<td valign="top" align="center">38.5 (32.3,45.1)</td>
<td valign="top" align="center">38.2 (32.6,46)</td>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left">PaO2, median (IQR), mmHg</td>
<td valign="top" align="center">84.2 (72.6,94.5)</td>
<td valign="top" align="center">79.3 (70.3,90.5)</td>
<td valign="top" align="center">0.08</td>
</tr>
<tr>
<td valign="top" align="left">PaO2/FiO2, median (IQR)</td>
<td valign="top" align="center">126.7 (100,179)</td>
<td valign="top" align="center">120.3 (88,159.2)</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">HCO3-, mean (<italic>SD</italic>), mmol/L</td>
<td valign="top" align="center">22.7 (3.3)</td>
<td valign="top" align="center">24.6 (4)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">cLac, median (IQR), mmol/L</td>
<td valign="top" align="center">1.8 (1.3,2.5)</td>
<td valign="top" align="center">1.7 (1.3,2)</td>
<td valign="top" align="center">0.30</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Ventilator settings</bold></td>
</tr>
<tr>
<td valign="top" align="left">Vt, median (IQR), ml</td>
<td valign="top" align="center">454.5 (118.2)</td>
<td valign="top" align="center">429.6 (114.3)</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">PEEP, median (IQR), cmH2O</td>
<td valign="top" align="center">9.6 (3.6)</td>
<td valign="top" align="center">9.6 (3.7)</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">FiO2, median (IQR)</td>
<td valign="top" align="center">0.7 (0.2)</td>
<td valign="top" align="center">0.7 (0.2)</td>
<td valign="top" align="center">0.32</td>
</tr>
<tr>
<td valign="top" align="left">Pplat, mean (<italic>SD</italic>), cmH2O</td>
<td valign="top" align="center">20 (6.3)</td>
<td valign="top" align="center">22.2 (6.5)</td>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left">Ppeak, mean (<italic>SD</italic>), cmH2O</td>
<td valign="top" align="center">24.3 (5.5)</td>
<td valign="top" align="center">23.6 (4.3)</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Laboratory examination</bold></td>
</tr>
<tr>
<td valign="top" align="left">WBC, &#x00D7; 109/L</td>
<td valign="top" align="center">13.5 (11.6)</td>
<td valign="top" align="center">11.7 (7.4)</td>
<td valign="top" align="center">0.28</td>
</tr>
<tr>
<td valign="top" align="left">NEU, &#x00D7; 109/L</td>
<td valign="top" align="center">10.6 (10.2)</td>
<td valign="top" align="center">9.4 (7.4)</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">LYM, &#x00D7; 109/L</td>
<td valign="top" align="center">0.8 (1.2)</td>
<td valign="top" align="center">0.7 (0.7)</td>
<td valign="top" align="center">0.66</td>
</tr>
<tr>
<td valign="top" align="left">BNP, pg/ml</td>
<td valign="top" align="center">658.5 (940.4)</td>
<td valign="top" align="center">197.3 (181.1)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP, pg/ml</td>
<td valign="top" align="center">7222.3 (9331.5)</td>
<td valign="top" align="center">1796.4 (3211.8)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Baseline Cr, median(IQR)</td>
<td valign="top" align="center">93.20 (86.4,99.8)</td>
<td valign="top" align="center">93.05 (88.8,97.6)</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">Peak serum Creatinine, median(IQR)</td>
<td valign="top" align="center">259.8 (187.5,491.0)</td>
<td valign="top" align="center">197.3 (151.6,291.5)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Serum creatinine increase, median (IQR), mmol/L</td>
<td valign="top" align="center">167.9(103.3,393.8)</td>
<td valign="top" align="center">106.9(56.5,196.5)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Maximal respiratory support, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">HFNC</td>
<td valign="top" align="center">8 (8.8%)</td>
<td valign="top" align="center">12 (17.1%)</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">NPPV</td>
<td valign="top" align="center">8 (8.8%)</td>
<td valign="top" align="center">4 (5.7%)</td>
<td valign="top" align="center">0.46</td>
</tr>
<tr>
<td valign="top" align="left">IPPV</td>
<td valign="top" align="center">50 (54.9%)</td>
<td valign="top" align="center">38 (54.3%)</td>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left">ECMO</td>
<td valign="top" align="center">25 (27.5%)</td>
<td valign="top" align="center">16 (22.9%)</td>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left">Baro-trauma</td>
<td valign="top" align="center">4 (4.4%)</td>
<td valign="top" align="center">4 (5.7%)</td>
<td valign="top" align="center">0.73</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Severity of AKI, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Stage 1</td>
<td valign="top" align="center">14 (15.4%)</td>
<td valign="top" align="center">27 (38.6%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Stage 2</td>
<td valign="top" align="center">30 (33%)</td>
<td valign="top" align="center">20 (28.6%)</td>
<td valign="top" align="center">0.55</td>
</tr>
<tr>
<td valign="top" align="left">Stage 3</td>
<td valign="top" align="center">47 (51.6%)</td>
<td valign="top" align="center">23 (32.9%)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Nephrotoxic drug, (<italic>n</italic>%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Vancomycin</td>
<td valign="top" align="center">6 (6.6%)</td>
<td valign="top" align="center">11 (15.7%)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">Aminoglycoside</td>
<td valign="top" align="center">3 (3.3%)</td>
<td valign="top" align="center">12 (17.1%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Sulfamethoxazole- trimethoprim</td>
<td valign="top" align="center">24 (26.4%)</td>
<td valign="top" align="center">27 (38.6%)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Colistin</td>
<td valign="top" align="center">1 (1.1%)</td>
<td valign="top" align="center">12 (17.1%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Amphotericin B</td>
<td valign="top" align="center">5 (5.5%)</td>
<td valign="top" align="center">14 (20%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARB</td>
<td valign="top" align="center">1 (1.1%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">1.00</td>
</tr>
<tr>
<td valign="top" align="left">NSAIDs</td>
<td valign="top" align="center">3 (3.3%)</td>
<td valign="top" align="center">12 (17.1%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Diuretics</td>
<td valign="top" align="center">17 (18.7%)</td>
<td valign="top" align="center">31 (44.3%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Voriconazole</td>
<td valign="top" align="center">11 (12.1%)</td>
<td valign="top" align="center">24 (34.3%)</td>
<td valign="top" align="center">0.00<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Cyclosporine</td>
<td valign="top" align="center">4 (4.4%)</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Fluid balance</bold></td>
</tr>
<tr>
<td valign="top" align="left">D1, median (IQR)</td>
<td valign="top" align="center">370 (&#x2013;127,1451)</td>
<td valign="top" align="center">160 (&#x2013;283,719.5)</td>
<td valign="top" align="center">0.07</td>
</tr>
<tr>
<td valign="top" align="left">D2, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">270 (1677)</td>
<td valign="top" align="center">563.4 (1250.1)</td>
<td valign="top" align="center">0.23</td>
</tr>
<tr>
<td valign="top" align="left">D3, median (IQR)</td>
<td valign="top" align="center">&#x2013;375 (&#x2013;1373.8,678.5)</td>
<td valign="top" align="center">76 (&#x2013;602,847)</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" align="left">D4, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;116.1 (1891.5)</td>
<td valign="top" align="center">132.5 (1323.1)</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">D5, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;67.5 (1962.9)</td>
<td valign="top" align="center">129.4 (1583.2)</td>
<td valign="top" align="center">0.51</td>
</tr>
<tr>
<td valign="top" align="left">D6, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">196.7 (1322.9)</td>
<td valign="top" align="center">119.3 (1652.2)</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">D7, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">&#x2013;188.2 (1245.9)</td>
<td valign="top" align="center">489.7 (1566.9)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">CRRT, (<italic>n</italic>%)</td>
<td valign="top" align="center">28 (30.8%)</td>
<td valign="top" align="center">10 (14.3%)</td>
<td valign="top" align="center">0.02<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Outcomes</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Invasive ventilation-free days to day 28, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">10.3 (11.7)</td>
<td valign="top" align="center">6 (9.1)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">ICU length of stay, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">20.6 (19.5)</td>
<td valign="top" align="center">25.2 (23.1)</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">Hospital length of stay, mean (<italic>SD</italic>)</td>
<td valign="top" align="center">21.8 (24)</td>
<td valign="top" align="center">25.1 (29.9)</td>
<td valign="top" align="center">0.44</td>
</tr>
<tr>
<td valign="top" align="left">Renal function recovery within 28 days, (<italic>n</italic>%)</td>
<td valign="top" align="center">31 (34.1%)</td>
<td valign="top" align="center">23 (32.9%)</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left">Mortality, (<italic>n</italic>%)</td>
<td valign="top" align="center">44 (48.4%)</td>
<td valign="top" align="center">48 (68.6%)</td>
<td valign="top" align="center">0.01<xref ref-type="table-fn" rid="t6fna"><sup>a</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t6fna"><p><sup>a</sup>p &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>After adjusting for confounding factors, history of hypertension (<italic>p</italic> = 0.01), history of CKD (<italic>p</italic> = 0.03), and the SOFA score upon admission (<italic>p</italic> = 0.02) were significantly higher in the early-onset group than in the late-onset group. However, the use of nephrotoxic agents, especially colistin (<italic>p</italic> = 0.01), NSAIDs (<italic>p</italic> = 0.04) and diuretics (<italic>p</italic> = 0.03), was significantly associated with the development of late-onset AKI.</p>
</sec>
<sec id="S3.SS5">
<title>Clinical outcomes of early and late acute kidney injury</title>
<p>In the subgroup analysis, both the ICU length of stay and hospital length of stay were shorter in the early AKI group, but the difference was not statistically significant. The number of invasive ventilation-free days to Day 28 was significantly longer and the mortality rate was lower in the early AKI group than in the late AKI group. However, in Kaplan&#x2013;Meier analysis, the mortality rate between the two groups was not significantly different (<italic>p</italic> = 0.39).</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>We comprehensively discussed the effects of ARDS on renal function based on comorbid diseases, the etiology and severity of ARDS, hemodynamics, maximal respiratory support, fluid therapy and drug therapy.</p>
<p>In our study, AKI developed in half of the patients with ARDS during their ICU stay, and most of them developed AKI within the first 48 h after ARDS diagnosis. The risk factors for AKI in patients with ARDS were age, history of diabetes mellitus and CKD, admission APACHE II score, Lac level and the need for ECMO support. Patients with ARDS with AKI had a significantly higher 28-day mortality rate and shorter invasive ventilation-free days up to Day 28. Previous studies reported that the incidence of AKI in patients with ARDS ranged from 44.3 to 68.3% (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>) and that older age was associated with the development of AKI, which is in accordance with our study. We also found that DM increased the risk of AKI in patients with ARDS. Previous studies found that diabetes mellitus was the most commonly observed comorbidity in patients with AKI in both critically ill patients and non-critically ill patients (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). This comorbidity is an important cause of microvasculitis and macrovasculitis and may be associated with a higher susceptibility to ischemic&#x2013;hypoxic insults, which predisposes patients to AKI (<xref ref-type="bibr" rid="B26">26</xref>). Moreover, we found that CKD was a significant risk factor for AKI. CKD has consistently been shown to be a significant risk factor for the development of AKI (<xref ref-type="bibr" rid="B27">27</xref>). Probable explanations include the hemodynamic instability and failure of autoregulation in CKD patients, the ease of detection of small changes in GFR when renal function is impaired, and a predisposition to further injury in patients with diminished renal function (<xref ref-type="bibr" rid="B28">28</xref>). The patients with AKI had higher admission APACHE II scores and higher levels of lactic acid, which suggests that these patients were admitted to the hospital with more serious illnesses, combined with multiple organ dysfunction and low organ perfusion. Our study also revealed that ECMO was a risk factor for AKI. The literature has reported that the incidence of AKI in patients on ECMO is as high as 70&#x2013;85% (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). The progression of pre-existing multisystemic disease, pre-ECMO management, activation of inflammatory mediators, alterations in renal macro/microvasculature, ischemia-reperfusion, hemolysis and oxidative stress, disruption of the glycocalyx, impaired renal autoregulation, and iatrogenic coagulation abnormalities are possible factors involved in the pathogenesis of ECMO-associated AKI (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>We also observed that AKI significantly increased the mortality rate of ARDS. The in-hospital mortality was 57.1% in ARSD patients with AKI, which was significantly higher than the 42.4% mortality rate in patients with ARDS. Shock was the only independent risk factor for mortality in patients with AKI and patients with ARDS in our study. Previous studies&#x2019; results confirmed this conclusion. Huang et al. found that shock was independently significantly associated with hospital mortality in patients with ARDS (HR 2.017, 95% CI 1.308&#x2013;3.111, <italic>p</italic> = 0.002) (<xref ref-type="bibr" rid="B21">21</xref>). In addition, concomitant shock may result in hypoperfusion and renal vasoconstriction, leading to acute tubular necrosis, which deteriorates renal function (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Moreover, we provided insight into the characteristics of AKI in patients with ARDS. We found that AKI occurring within 48 h of ARDS diagnosis appears to be strongly associated with the severity of primary disease and patient comorbidities, which may cause renal hypoxia and hypoperfusion, whereas late AKI may be more closely associated with drug toxicity (<xref ref-type="bibr" rid="B33">33</xref>). Therefore, during ARDS treatment, the application of nephrotoxic drugs should be avoided as much as possible. In addition, therapeutic drug monitoring uses drug concentrations and pharmacokinetic/pharmacodynamic objectives to manage a patient&#x2019;s medication regimen, optimize outcome and prevent resistance or toxicity. We should routinely monitor therapeutic drugs during treatment.</p>
<p>Our study has several limitations. First, since most of the study population did not have a measured baseline serum creatinine, we addressed this problem using estimated serum creatinine by back calculation with the MDRD equation. Although this method has been widely used in previous studies, it still overestimates the incidence of AKI (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B34">34</xref>). To compensate for this problem, we defined AKI according to the KDIGO 2012 guidelines, which used both serum creatinine and urine volume. In addition, we incorporated confounding factors as comprehensively as possible and conducted multifactor analysis. Regarding the risk factors of early and late AKI, the application of some of the nephrotoxic drugs especially vancomycin, aminoglycoside and colistin usually occurred in the late stage of ARDS complicated by nosocomial infections. Therefore, late AKI has a greater chance of being exposed to this risk factor. This may introduce some bias. In addition, we did not follow up on patients&#x2019; renal function after discharge, so the entire clinical course of AKI in patients with ARDS could not be evaluated.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>The incidence of in-hospital AKI in patients with ARDS was 51.8% in our study. Age, a history of DM and CKD, initial severity of illness, lactic acid level and ECMO were associated with the development of AKI in ARDS patients. The mortality rate of ARDS patients combined with AKI was significantly higher than that of patients without AKI. Shock was the only risk factor for mortality in patients with ARDS with AKI. Furthermore, we found that early-onset AKI in patients with ARDS was associated with the severity of primary disease and patient comorbidities, whereas late-onset AKI was more closely associated with drug toxicity. Therefore, therapeutic drug monitoring should be routinely used to avoid drug toxicity during treatment.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of the China-Japan Friendship Hospital (the number of ethics board was 2015-77). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8">
<title>Author contributions</title>
<p>XC and XH designed the research project, analyzed the data, and drafted the manuscript. XC, XY, XH, YC, YT, and QZ performed the study and collected the clinical data. XC, XH, and QZ revised and approved the final version of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This study was supported by grants from the National Key Research and Development Program of China (2020YFC2003700). The funder had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<ack><p>We thank all the medical staffs in the ICU for their efforts in saving the lives of our patients. We also thank all the staffs who contributed to this study.</p>
</ack>
<sec id="S10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<glossary>
<title>Abbreviations</title>
<def-list id="S12">
<def-item><term>ARDS</term><def><p>acute respiratory distress syndrome</p></def></def-item>
<def-item><term>AKI</term><def><p>acute kidney injury</p></def></def-item>
<def-item><term>ICU</term><def><p>intensive care unit</p></def></def-item>
<def-item><term>ECMO</term><def><p>extracorporeal membrane oxygenation</p></def></def-item>
<def-item><term>KDIGO</term><def><p>kidney disease improving global outcomes</p></def></def-item>
<def-item><term>SCr</term><def><p>serum creatinine</p></def></def-item>
<def-item><term>MDRD</term><def><p>modification of diet in renal disease</p></def></def-item>
<def-item><term>GFR</term><def><p>glomerular filtration rate</p></def></def-item>
<def-item><term>CKD</term><def><p>chronic kidney disease</p></def></def-item>
<def-item><term>RRT</term><def><p>renal replacement treatment</p></def></def-item>
<def-item><term>APACHE II score</term><def><p>acute physiology and chronic health evaluation II score</p></def></def-item>
<def-item><term>SOFA score</term><def><p>sequential organ failure assessment</p></def></def-item>
<def-item><term>ACEIs/ARBs</term><def><p>angiotensin converting enzyme inhibitors/angiotensin receptor blockers</p></def></def-item>
<def-item><term>NSAIDs</term><def><p>non-steroid anti-inflammatory drugs</p></def></def-item>
<def-item><term>OR</term><def><p>odds ratio</p></def></def-item>
<def-item><term>CI</term><def><p>confidence interval.</p></def></def-item>
</def-list>
</glossary>
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