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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2021.774614</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>In-hospital Mortality and Causes of Death in People Diagnosed With HIV in a General Hospital in Shenyang, China: A Cross-Sectional Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Cheng Bo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Sheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Wen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lu</surname> <given-names>Xu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname> <given-names>Cui Ming</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Pei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Hu</surname> <given-names>Qing-Hai</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/620335/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wen</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1475498/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Infectious Diseases Department, The First Affiliated Hospital of China Medical University</institution>, <addr-line>Shenyang</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Key Laboratory of AIDS Immunology of Ministry of Health, Department of Laboratory Medicine, The First Affiliated Hospital of China Medical University</institution>, <addr-line>Shenyang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Xiaojie Huang, Capital Medical University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Thi Thanh Hang Pham, Stanford University, United States; Yuzhu Dai, The 903th Hospital of the People&#x00027;s Liberation Army, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Ying Wen <email>wenying666466&#x00040;163.com</email></corresp>
<corresp id="c002">Qing-Hai Hu <email>qinghaihucn&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Infectious Diseases&#x02013;Surveillance, Prevention and Treatment, a section of the journal Frontiers in Public Health</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>774614</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>09</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Li, Zhou, Wang, Liu, Wang, Lu, Sun, Liu, Hu and Wen.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Li, Zhou, Wang, Liu, Wang, Lu, Sun, Liu, Hu and Wen</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><p><bold>Background:</bold> Acquired immune deficiency syndrome (AIDS), caused by human immunodeficiency virus (HIV) infection, is a serious public health issue. This study investigated the correlated factors and possible changing trend of in-hospital death in patients diagnosed with HIV in the past decade in our hospital.</p>
<p><bold>Methods:</bold> We retrospectively collected data of firstly hospitalized patients with HIV in the Department of Infectious Disease in the First Affiliated Hospital of China Medical University from January 1, 2010 to December 31, 2019, and compared various factors that correlated with in-hospital death, including age, sex, opportunistic infections, and antiretroviral therapy (ART) status. Cox regression analysis was used to identify the risk factors for death.</p>
<p><bold>Results:</bold> In total, 711 patients were recruited for this study, and 62 patients died in the hospital. The in-hospital mortality rate was 8.72%. Tuberculosis (TB), malignancies, and thrombocytopenia were associated with mortality. Antiviral treatment before admission was found to be a protective factor. There was a declining trend in in-hospital mortality from 19.2% in 2010 to 6.3% in 2019 (linear-by-linear association test, <italic>p</italic> &#x0003C; 0.001), partly due to intensified medical care strategy.</p>
<p><bold>Conclusions:</bold> Till date, AIDS-defining illnesses remain the major cause of hospital admission and in-hospital mortality. TB and malignancies were correlated risk factors for in-hospital mortality. ART before admission was found to be beneficial, and considering the decreasing rate of in-hospital mortality, the implementation of intensified medical care strategy requires further effort.</p></abstract>
<kwd-group>
<kwd>acquired immune deficiency syndrome</kwd>
<kwd>in-hospital mortality</kwd>
<kwd>antiretroviral therapy</kwd>
<kwd>intensified medical care strategy</kwd>
<kwd>cross-sectional study</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="8"/>
<word-count count="5030"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Acquired immune deficiency syndrome (AIDS), caused by human immunodeficiency virus (HIV) infection, is a serious public health problem, being the sixth most common cause of mortality worldwide (<xref ref-type="bibr" rid="B1">1</xref>). CD4&#x0002B;T lymphocytes destruction leads to severe immune deficiency, which causes various opportunistic infections and malignant tumors. Late diagnosis and late treatment lead to high morbidity and mortality rates. With the employment of effective antiretroviral therapy (ART) and an updated strategy of ART initiation, AIDS-defining deaths have reduced significantly. Non-AIDS-related mortality rate is increasing among well-virologically controlled populations living with HIV, especially in persons with previous AIDS-defining events (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). However, the death spectrum of inpatients might be different from that of enrolled outpatients undergoing ART in a long-term follow-up cohort study.</p>
<p>Since June 15, 2016, the time to initiate ART has been updated based on CD4&#x0002B;T cell levels in China, as AIDS-related illnesses remain the leading causes of hospital admission and mortality worldwide (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Risk factors for mortality should be surveyed in a timely manner and effectively addressed. Patients with HIV-related or ART-related complications are more likely to be admitted to the infectious disease department, while patients with age-related comorbidities are more likely to be initially admitted to other departments in the general hospital. In resource-limited hospitals, laboratory capabilities and medical team standards are limited. Therefore, enhanced communication and cooperation between infectious disease specialists and other healthcare specialists are required.</p>
<p>For the past few years in our hospital, implementing regular screening for comorbidities in hospitalized HIV patients, training of an HIV specialist team, and constructing a multidisciplinary team (MDT) have demonstrated diagnostic and therapeutic advantages. This study is a retrospective analysis of the correlated risk factors and the possible change in trend for in-hospital mortality in the past decade.</p></sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Patients</title>
<p>We conducted a retrospective study of inpatients who had been diagnosed with HIV (infection) and were initially admitted to the Department of Infectious Disease at the First Affiliated Hospital of China Medical University (Shenyang, China) from January 1, 2010 to December 31, 2019. Patients with incomplete data were excluded from the study. This study was approved by the Clinical Research Ethics Committee of China Medical University. Our hospital is a tertiary hospital with 3933 beds. For the HIV care in the Department of Infectious Disease, we serve out-patients (at least 4,500 patients in the follow-up) and in-patients (90 beds in the ward for various infectious diseases). HIV in-patients came from ourselves HIV care clinic and different cities around Shenyang.</p></sec>
<sec>
<title>Study Design</title>
<p>The prognosis of patients who survived or died was recorded when they were discharged from the hospital. Clinical data, including demographic data, underlying medical conditions, and clinical presentations, were obtained from the patients&#x00027; medical records, which were completed by three authors simultaneously. We separately analyzed the factors that might influence mortality rate, including age, sex, body mass index (BMI) &#x0003C;16 kg/m<sup>2</sup>, history of smoking and alcohol abuse, World Health Organization (WHO) clinical stage classification, length of hospital stay, fever duration &#x0003E;7 days before admission, CD4&#x0002B;T cell count, hemoglobin (HB) level, platelet (PLT) count, glutamic alanine transaminase (ALT) level, serum albumin (ALB) level, serum creatinine (Scr) level, serum sodium concentration, C-reactive protein(CRP) level, dyslipidemia, viral hepatitis, respiratory failure, tuberculosis (TB), pneumocystis <italic>jiroveci</italic> pneumonia (PJP), central nervous system (CNS) infection, malignancies, invasive fungal infection, and bacterial bloodstream infection. We also analyzed the trend of in-hospital mortality rates, CD4&#x0002B;T cell counts &#x0003C;200 cells/&#x003BC;L, advanced WHO stages, and ART status before admission among inpatients during the study period.</p></sec>
<sec>
<title>Definitions</title>
<p>Patients who had been taking ART for any treatment duration time at admission were defined as ART prior to admission. Patients with HIV-1 RNA of at least 1,000 copies/mL after initiating ART for at least 6 months (ART-experienced) should undergo drug resistance testing by first-generation sequencing, with drug resistance defined as intermediate or high-level resistance using the Stanford HIV drug resistance program. Hyponatremia was defined as serum sodium concentration &#x0003C;135 mmol/L. Thrombocytopenia was defined as a platelet count &#x0003C;1,00,000/&#x003BC;L. Fever duration &#x0003E;7 days before admission was defined as the duration of fever persistence from onset to admission for more than 7 days. In this study, invasive fungal infections were defined as disseminated fungal infection or invasive pulmonary fungal infection. The WHO clinical stage for all patients was based on the most serious clinical stage in their medical history records. Intensified medical care strategies included regular screening for comorbidities and training of HIV care clinic staff and the MDT.</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>The results are expressed as median (interquartile range), numbers, and percentages. We compared the conditions between those who survived and those who died. The means for continuous variables were compared using the Student&#x00027;s <italic>t</italic>-test for normally distributed data. Otherwise, the Mann-Whitney <italic>U</italic>-test was used. The proportions for categorical variables were compared using the chi-squared test, and Fisher&#x00027;s exact test was used when the data were sparse. The Kaplan&#x02013;Meier method and Cox proportional hazard regression model were employed to identify the correlated risk factors for mortality. Data with a <italic>P</italic> &#x0003C; 0.1 in the univariable analysis were entered into the multivariate Cox proportional hazard model. The hazard ratio (HR) was computed with a 95% confidence interval (CI), and <italic>P</italic> &#x0003C; 0.05 were considered statistically significant for all cases. Mortality rates, ART status before admission, advanced WHO stages, and CD4&#x0002B;T cell count were evaluated by the linear-by-linear association to identify possible changing trends during the past decade. All analyses were performed using SPSS software for Windows (version 22.0; Chicago, IL).</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Clinical and Laboratory Characteristics at Baseline</title>
<p>In total, 711 patients were enrolled in this study, including 659 men (92.7%) and 52 women (7.3%). The median age was 37 years (range: 16&#x02013;79 years). HIV was sexually transmitted in 653 patients (91.8%), and 412 patients were men who have sex with men (MSM). Among nine patients with cirrhosis, six were in a decompensated cirrhosis state. Nobody met the diagnostic criteria of alcohol abuse.</p>
<p>In total, 192 patients were admitted after June 15, 2016. Among 143 patients (20.1%) whose cause of hospital admission was adverse drug event, 105 (73.4%) experienced this event before June 15, 2016. The causes of hospital admission in 532 cases (74.8%) were AIDS-related illnesses, in other words being at WHO clinical stage III&#x02013;IV, including candidiasis, PJP,TB, CNS infection, invasive fungal disease, cytomegalovirus (CMV) retinitis, malignancies, bacterial bloodstream infection, and disseminated <italic>Mycobacterium avium</italic> complex disease. The common laboratory test abnormalities were summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline clinical and laboratory characteristics of 711 hospitalized HIV patients.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Data</bold></th>
<th valign="top" align="center"><bold>No. (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years) &#x0003C;30</td>
<td valign="top" align="center">178 (25.0%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;30&#x02013;49</td>
<td valign="top" align="center">375 (52.7%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x02265;50</td>
<td valign="top" align="center">158 (22.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Male</td>
<td valign="top" align="center">659 (92.7%)</td>
</tr>
<tr>
<td valign="top" align="left">ART prior to admission</td>
<td valign="top" align="center">308 (43.3%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;ART &#x0003C;6 m</td>
<td valign="top" align="center">156</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;ART &#x0003E;6 m without virological failure</td>
<td valign="top" align="center">121</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;ART &#x0003E;6 m with virological failure</td>
<td valign="top" align="center">31</td>
</tr>
<tr>
<td valign="top" align="left">The interval of fever (days) &#x0003E;7</td>
<td valign="top" align="center">456 (64.1%)</td>
</tr>
<tr>
<td valign="top" align="left">BMI &#x0003C;16 kg/m<sup>2</sup></td>
<td valign="top" align="center">32 (4.5%)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis B virus-coinfection</td>
<td valign="top" align="center">73 (10.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Hepatitis C virus-coinfection</td>
<td valign="top" align="center">9 (1.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidemia</td>
<td valign="top" align="center">166 (23.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">30 (4.2%)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">28 (3.9%)</td>
</tr>
<tr>
<td valign="top" align="left">The cigarette index &#x0003E;400</td>
<td valign="top" align="center">137 (19.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Admission after 20160615</td>
<td valign="top" align="center">192 (27.0%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">The causes of hospital admission</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;AIDS-related illnesses</td>
<td valign="top" align="center">532 (74.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Adverse drug event</td>
<td valign="top" align="center">143 (20.1%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Others</td>
<td valign="top" align="center">36 (5.1%)</td>
</tr>
<tr>
<td valign="top" align="left">WHO clinical stage III&#x02013;IV</td>
<td valign="top" align="center">532 (74.8%)</td>
</tr>
<tr>
<td valign="top" align="left">Candidiasis</td>
<td valign="top" align="center">358 (50.4%)</td>
</tr>
<tr>
<td valign="top" align="left">PJP</td>
<td valign="top" align="center">350 (49.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Respiratory failure</td>
<td valign="top" align="center">142</td>
</tr>
<tr>
<td valign="top" align="left">TB</td>
<td valign="top" align="center">282 (39.7%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Respiratory failure</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Extra-pulmonary TB</td>
<td valign="top" align="center">101</td>
</tr>
<tr>
<td valign="top" align="left">CNS infection</td>
<td valign="top" align="center">66 (9.3%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Cryptococcosis meningitis or meningoencephalitis</td>
<td valign="top" align="center">27</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;HIV encephalopathy</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Tuberculous meningitis</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;CMV meningitis</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;<italic>Toxoplasma gondii</italic> encephalitis</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Varicella-zoster virus meningitis</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Neurosyphilis</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">Invasive fungal infection</td>
<td valign="top" align="center">42 (5.9%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Cryptococcal infection</td>
<td valign="top" align="center">32</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Talaromyces marneffei infection</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Aspergillosis infection</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">Cytomegalovirus retinitis</td>
<td valign="top" align="center">38 (5.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Malignant tumor</td>
<td valign="top" align="center">34 (4.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Lymphoma</td>
<td valign="top" align="center">15</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Kaposi&#x00027;s sarcoma</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Others</td>
<td valign="top" align="center">10</td>
</tr>
<tr>
<td valign="top" align="left">Bacterial bloodstream infection</td>
<td valign="top" align="center">29 (4.1%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Non-typhoidal salmonella</td>
<td valign="top" align="center">15</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;Others</td>
<td valign="top" align="center">14</td>
</tr>
<tr>
<td valign="top" align="left">Disseminated <italic>Mycobacterium avium</italic> complex disease</td>
<td valign="top" align="center">9 (1.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Serum IgM antibody to <italic>Mycoplasma pneumoniae</italic></td>
<td valign="top" align="center">44 (6.2%)</td>
</tr>
<tr>
<td valign="top" align="left">Serum antibody to <italic>Legionella pneumophila</italic></td>
<td valign="top" align="center">2 (0.3%)</td>
</tr>
<tr>
<td valign="top" align="left">Available positive bacteria from sputum</td>
<td valign="top" align="center">28 (3.9%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;<italic>Klebsiella pneumoniae</italic></td>
<td valign="top" align="center">16</td>
</tr>
<tr>
<td valign="top" align="left">CD4 T counts &#x0003C;200 (/&#x003BC;L)</td>
<td valign="top" align="center">606 (85.2%)</td>
</tr>
<tr>
<td valign="top" align="left">CRP (&#x0003E;10 mg/L)</td>
<td valign="top" align="center">511 (71.9%)</td>
</tr>
<tr>
<td valign="top" align="left">Albumin (&#x0003C;30 g/L)</td>
<td valign="top" align="center">304 (42.8%)</td>
</tr>
<tr>
<td valign="top" align="left">ALT (&#x0003E;50 &#x000D7; U/L)</td>
<td valign="top" align="center">250 (35.2%)</td>
</tr>
<tr>
<td valign="top" align="left">Hyponatremia</td>
<td valign="top" align="center">237 (33.3%)</td>
</tr>
<tr>
<td valign="top" align="left">HB (&#x0003C;9 g/L)</td>
<td valign="top" align="center">87 (12.2%)</td>
</tr>
<tr>
<td valign="top" align="left">Thrombocytopenia</td>
<td valign="top" align="center">57 (8.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Scr (&#x0003E;104 &#x003BC;mol/L)</td>
<td valign="top" align="center">13 (1.8%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>ART, antiretroviral therapy; BMI, body mass index; PJP, pneumocystis jiroveci pneumonia; TB, tuberculosis; CNS, central nervous system; HIV, human immunodeficiency virus; CMV, cytomegalovirus; CRP, C-reactive protein; ALT, glutamic alanine transaminase; HB, hemoglobin; Scr, serum creatinine</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>There were no significant statistical differences in gender, age, BMI &#x0003C;16 kg/m<sup>2</sup>, admission after June 15, 2016, hospitalization days, smoking status, virological failure, elevated ALT and CRP levels, and occurrence of viral hepatitis, hyperlipidemia, PJP, bacterial bloodstream infection between two groups. Compared with the patients who survived, those who died had a higher possibility of being at WHO III&#x02013;IV stage, having CD4 &#x0003C;200 cells/&#x003BC;L, hyponatremia, thrombocytopenia, HB &#x0003C;9 g/dL, Scr level &#x02265;104 &#x003BC;mol/L, respiratory failure, prevalent tuberculosis, CNS infection, invasive fungal infection, malignancies, and fever duration &#x0003E;7 days before admission, while they had a lesser possibility of undergoing ART prior to admission (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Comparison of the baseline clinical features between survivors and the dead.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Died</bold> <break/><bold>(<italic>n</italic> &#x0003D; 62)</bold></th>
<th valign="top" align="center"><bold>Survived</bold> <break/><bold>(<italic>n</italic> &#x0003D; 649)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Fever &#x0003E;7 days before admission [<italic>n</italic> (%)]</td>
<td valign="top" align="center">50 (80.6%)</td>
<td valign="top" align="center">406 (62.6%)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">ART prior to admission [<italic>n</italic> (%)]</td>
<td valign="top" align="center">18 (29.0%)</td>
<td valign="top" align="center">290 (44.7%)</td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">WHO clinical stage III&#x02013;IV [<italic>n</italic> (%)]</td>
<td valign="top" align="center">62 (100%)</td>
<td valign="top" align="center">470 (72.4%)</td>
<td valign="top" align="center">0.013</td>
</tr>
<tr>
<td valign="top" align="left">CD4 (/&#x003BC;L) [<italic>n</italic> (%)]</td>
<td/>
<td/>
<td valign="top" align="left">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;200</td>
<td valign="top" align="center">62 (100%)</td>
<td valign="top" align="center">537 (82.7%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x02265;200</td>
<td valign="top" align="center">0 (0%)</td>
<td valign="top" align="center">112 (17.3%)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">HB &#x0003C;9 g/dL [(<italic>n</italic> %)]</td>
<td valign="top" align="center">16 (25.8%)</td>
<td valign="top" align="center">71 (10.9%)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Thrombocytopenia [<italic>n</italic> (%)]</td>
<td valign="top" align="center">10 (16.1%)</td>
<td valign="top" align="center">47 (7.2%)</td>
<td valign="top" align="center">0.017</td>
</tr>
<tr>
<td valign="top" align="left">Scr &#x02265;104 &#x003BC;mol/L [(<italic>n</italic> %)]</td>
<td valign="top" align="center">4 (6.5%)</td>
<td valign="top" align="center">9 (1.4%)</td>
<td valign="top" align="center">0.022</td>
</tr>
<tr>
<td valign="top" align="left">Hyponatremia [<italic>n</italic> (%)]</td>
<td valign="top" align="center">32 (51.6%)</td>
<td valign="top" align="center">205 (31.6%)</td>
<td valign="top" align="center">0.020</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory failure [<italic>n</italic> (%)]</td>
<td valign="top" align="center">23 (37.1%)</td>
<td valign="top" align="center">124 (19.1%)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">TB [<italic>n</italic> (%)]</td>
<td valign="top" align="center">37 (59.7%)</td>
<td valign="top" align="center">245 (37.8%)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Invasive fungal infection [<italic>n</italic> (%)]</td>
<td valign="top" align="center">8 (12.9%)</td>
<td valign="top" align="center">34 (5.2%)</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left">CNS infection [<italic>n</italic> (%)]</td>
<td valign="top" align="center">13 (21.0%)</td>
<td valign="top" align="center">53 (8.2%)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Malignancies [<italic>n</italic> (%)]</td>
<td valign="top" align="center">9 (14.5%)</td>
<td valign="top" align="center">25 (3.9%)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>P &#x0003C; 0.05, statistically significant with the use of chi-square test or Fisher&#x00027;s exact. ART, antiretroviral therapy; HB, hemoglobin; Scr, serum creatinine; TB, tuberculosis; CNS, central nervous system</italic>.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Risk Factors for Mortality</title>
<p>In total, 62 patients died in the hospital, with an in-hospital mortality rate of 8.72%. Approximately, 17.7% (11/62) and 51.6% (32/62) of all deaths occurred within the first week and first 2 weeks of hospitalization, respectively. The causes of death included PJP (21), TB (16), sepsis syndrome (6), malignant tumor (5), cryptococcal meningitis (5), HIV encephalopathy (5), invasive pulmonary aspergillosis infection (3), and hepatic failure (1). Cancer-related deaths accounted for 8.1% of the deaths. Non-AIDS-related deaths occurred in 5 patients (8.1%), including non-AIDS-related malignancies (4) and hepatic failure (1). Data with a <italic>P</italic> &#x0003C; 0.1 in a univariable analysis and age division were entered into the multivariate Cox proportional hazard model including age (<italic>P</italic> &#x0003E; 0.1), admission after June 15, 2016 (<italic>P</italic> = 0.035), presence of thrombocytopenia (<italic>P</italic> &#x0003C; 0.001), HB &#x0003C;9 g/dL (<italic>p</italic> = 0.002), Scr &#x02265;104 &#x003BC;mol/L (<italic>p</italic> = 0.026), being at WHO stage III&#x02013;IV (<italic>P</italic> = 0.036), CD4 &#x0003C;200 cells/&#x003BC;L (<italic>P</italic> = 0.087), prevalent TB (<italic>P</italic> = 0.006), malignancies (<italic>P</italic> = 0.005), ART status prior to admission (<italic>P</italic> = 0.002), and fever duration &#x0003E;7 days before admission (<italic>P</italic> = 0.026). Finally, analyses using multivariate Cox regression after adjusting for age division and Kaplan&#x02013;Meier methods showed that prevalent TB (HR: 2.224; 95% CI, 1.322&#x02013;3.742; <italic>P</italic> = 0.003) (log-rank test, <italic>P</italic> = 0.006), malignancies (HR: 3.933; 95% CI, 1.874&#x02013;8.256; <italic>P</italic> &#x0003C; 0.001) (log-rank test, <italic>P</italic> = 0.003), and thrombocytopenia (HR: 3.673; 95% CI, 1.814&#x02013;7.436; <italic>P</italic> &#x0003C; 0.001) (log-rank test, <italic>P</italic> = 0.003) were risk factors for death, while undergoing ART prior to admission (HR: 0.308; 95% CI, 0.169&#x02013;0.563; <italic>P</italic> &#x0003C; 0.001) (log-rank test, <italic>P</italic> = 0.001) was a protective factor (<xref ref-type="fig" rid="F1">Figure 1</xref> and <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Kaplan&#x02013;Meier curve for risk factors of mortality in HIV-infected inpatients. <bold>(A)</bold> Prevalent TB increased in-hospital mortality. <bold>(B)</bold> Malignant tumors increased in-hospital mortality. <bold>(C)</bold> Thrombocytopenia increased in-hospital mortality. <bold>(D)</bold> ART before admission decreased in-hospital mortality.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-09-774614-g0001.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Factors associated with in-hospital mortality among HIV-infected inpatients in Shenyang.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Factors</bold></th>
<th valign="top" align="center"><bold>HR (95%Cl)</bold></th>
<th valign="top" align="center"><bold>P1-value</bold></th>
<th valign="top" align="center"><bold>Adjust HR(95%Cl)</bold></th>
<th valign="top" align="center"><bold>P2-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Age</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;30</td>
<td valign="top" align="center">1.000</td>
<td/>
<td valign="top" align="center">1.000</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">30&#x02013;49</td>
<td valign="top" align="center">1.131 (0.600&#x02013;2.134)</td>
<td valign="top" align="center">0.703</td>
<td valign="top" align="center">0.986 (0.517&#x02013;1.880)</td>
<td valign="top" align="center">0.965</td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;50</td>
<td valign="top" align="center">0.949 (0.439&#x02013;2.050)</td>
<td valign="top" align="center">0.894</td>
<td valign="top" align="center">0.661 (0.301&#x02013;1.452)</td>
<td valign="top" align="center">0.302</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Admission after 20160615</bold></td>
</tr>
<tr>
<td valign="top" align="left">Before 20160615</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">After 20160615</td>
<td valign="top" align="center">0.495 (0.257&#x02013;0.953)</td>
<td valign="top" align="center">0.035</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Thrombocytopenia</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1.000</td>
<td/>
<td valign="top" align="center">1.000</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">3.135 (1.782&#x02013;5.517)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">3.673 (1.814&#x02013;7.436)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>WHO clinical stage</bold></td>
</tr>
<tr>
<td valign="top" align="left">I&#x02013;II</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">III&#x02013;IV</td>
<td valign="top" align="center">2.977 (1.076&#x02013;8.237)</td>
<td valign="top" align="center">0.036</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>CD4 &#x0003C;200 (/&#x003BC;L)</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">23.993 (0.628&#x02013;916.609)</td>
<td valign="top" align="center">0.087</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Prevalent TB</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1,000</td>
<td/>
<td valign="top" align="center">1.000</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2.081 (1.24&#x02013;3.492)</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">2.224 (1.322&#x02013;3.742)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Malignancies</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1.000</td>
<td/>
<td valign="top" align="center">1.000</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2.765 (1.36&#x02013;5.623)</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center">3.933 (1.874&#x02013;8.256)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>ART prior to admission</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1.000</td>
<td/>
<td valign="top" align="center">1.000</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">0.401 (0.226&#x02013;0.71)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.308 (0.169&#x02013;0.563)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Scr &#x02265;104 &#x003BC;mol/L</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">3.226 (1.166&#x02013;8.920)</td>
<td valign="top" align="center">0.026</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>HB &#x0003C;9 g/dL</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2.533 (1.430&#x02013;4.487)</td>
<td valign="top" align="center">0.002</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Fever &#x0003E;7 d before admission</bold></td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">1.000</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2.103 (1.094&#x02013;4.044)</td>
<td valign="top" align="center">0.026</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>P1, P-value in a univariable analysis; P2, P-value in the multivariable analysis using Cox regression; TB, tuberculosis; ART, antiretroviral therapy; Scr, serum creatinine; HB, hemoglobin</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Trend Analysis by Linear-by-Linear Association Test</title>
<p>In the past decade, the trend of in-hospital mortality rates decreased from 19.2% in 2010 to 6.3% in 2019 (linear-by-linear association test, <italic>p</italic> &#x0003C; 0.001), and the percentage of patients who had received ART before admission decreased from 46.2% in 2010 to 34.8% in 2019 (linear-by-linear association test, <italic>p</italic> = 0.008). The prevalence of advanced WHO stages (III&#x02013;IV) and CD4&#x0002B;T cell counts &#x0003C;200 cells/&#x003BC;L among inpatients did not change (linear-by-linear association test, <italic>p</italic> = 0.180 and <italic>p</italic> = 0.053, respectively) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Trend analysis by Linear-by-Linear Association test. The proportion of patients with CD4 counts &#x0003C;200 cells/&#x003BC;L did not change, and the proportion of advanced WHO stages (III&#x02013;IV) among inpatients did not change. The percentage of patients taking ART before admission was declining; there has been a declining trend in hospital mortality in the past decade.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-09-774614-g0002.tif"/>
</fig></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Our study, conducted in the general hospital of Northeast China, showed that AIDS-related illnesses remained the leading causes of hospital admission and in-hospital mortality, which was consistent with previous reports (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). PJP and TB remained the top two direct causes of admission and mortality in HIV-infected patients, which is consistent with previous findings (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B8">8</xref>). Patients with respiratory failure can benefit from early admission to critical care (<xref ref-type="bibr" rid="B9">9</xref>). Adverse drug event was also reported as an important cause of hospital admission, especially before June 15, 2016, which was mainly due to nevirapine and zidovudine application. As an increasing risk factor of mortality, cancer-related mortality accounted for 8.1% of all deaths in our study, which was lower than that reported in published studies (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>), with many patients undergoing long-term ART. Importantly, ART before admission is a protective factor against death.</p>
<p>The rate of non-AIDS-related morbidity as the cause of hospital admission varies with age and geographical area. Most patients in our study were MSM, who might be at a younger age on admission, and this was less associated with underlying medical conditions such as age-related comorbidities. The rate of non-AIDS-related mortality was highest in high-income countries, followed by developing countries, and lowest in sub-Saharan countries (<xref ref-type="bibr" rid="B12">12</xref>). The percentage of non-AIDS-related deaths was only 8.1% in this study, which was much lower than that in other studies of long-term follow-up of cohorts undergoing ART which included a large number of patients reaching the age at which malignancies and cardiovascular disease incidence increase (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). In this study, bacterial infection was also a common factor for hospital admission, which is consistent with previous studies (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The top pathogen of bacterial bloodstream infection is the non-typhoid salmonellae (<xref ref-type="bibr" rid="B14">14</xref>). In contrast, bacterial pneumonia in patients with HIV was not associated with higher mortality rate than in the those without HIV (<xref ref-type="bibr" rid="B15">15</xref>). Although thrombocytopenia is not a direct cause of death in this study, its severity and incidence were related to the stage of HIV infection, while its incidence markedly decreased during ART (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). A decrease in platelet count is due to peripheral destruction in the early stages of HIV disease, resembling immune thrombocytopenic purpura. In more advanced stages of the disease, low platelet counts are mainly due to injured platelet production and ineffective hematopoiesis (<xref ref-type="bibr" rid="B18">18</xref>). Due to the low proportion of ART-experienced patients in this study, drug resistance was not associated with increased mortality rate, which was different from the findings of a study that only enrolled ART-experienced individuals (<xref ref-type="bibr" rid="B19">19</xref>). However, the prevalence of virological failure among inpatients was 20.4% in our study, which was slightly lower than that in a study (32%) of HIV drug resistance among hospital inpatients (<xref ref-type="bibr" rid="B1">1</xref>), while it was much higher than 7.8% reported in outpatients in a study (<xref ref-type="bibr" rid="B20">20</xref>). Therefore, patients with advanced disease require more frequent viral load testing because of poor health status and probable drug-drug interactions.</p>
<p>We observed that three fourth of the patients presented with advanced HIV disease and CD4 counts &#x0003C;200 cells/&#x003BC;L, which did not improve in the past decade. A declining trend in the percentage of patients undergoing ART before admission was because of a decreasing rate of admission due to ART adverse events. It was noted that there was a declining trend in in-hospital mortality in the past decade, which was partly due to an intensified medical care strategy (<xref ref-type="bibr" rid="B21">21</xref>&#x02013;<xref ref-type="bibr" rid="B24">24</xref>). We performed regular screening for TB infection, CMV infection, cryptococcal infection, <italic>Toxoplasma gondii</italic> infection, and <italic>Penicillium marneffei</italic> infection in HIV inpatients as well as regular brain, lung, and abdominal computed tomography scans. The HIV specialist team was comparatively fixed, as opposed to the physician&#x00027;s rotation system. Medical specialists, including intensive care unit physicians, ophthalmologists, respiratory endoscopy physicians, neurologists, neurosurgeons, hematologists, microbiologists, medical imaging professionals, and pathologists, joined the MDT for patients diagnosed with AIDS. Discussion, lectures, paper reading, and writing were regularly performed. A prompt diagnosis strategy followed by targeted treatment and early ART could significantly reduce early mortality (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Despite universal access to ART guided by an updated strategy of its initiation since June 15, 2016, in China, patients with HIV in Northeast China are still mainly dying of AIDS-related illnesses, an indicator of late diagnosis. Although ART substantially decreases hospitalization rates (<xref ref-type="bibr" rid="B25">25</xref>), most patients are unaware of their HIV-infected status before admission. Widespread HIV testing programs, such as home-based testing and self-testing, have been recommended by the WHO (<xref ref-type="bibr" rid="B26">26</xref>). Furthermore, HIV testing coverage in all hospital-based departments, especially the emergency department, should be recommended (<xref ref-type="bibr" rid="B27">27</xref>). Preventive therapy with co-trimoxazole and isoniazid should be reinforced to prevent PJP, bacterial pneumonia, and TB (<xref ref-type="bibr" rid="B26">26</xref>). Finally, low-cost interventions such as training of HIV care clinic staff may be the key to reducing early in-hospital mortality. Our study showed significant for decreasing the mortality rates in mortality rates among inpatients with advanced HIV disease in Northeast China.</p>
<p>Our study has some limitations: first, the sample size was small; second, we only enrolled hospitalized patients in the Department of Infectious Disease in our hospital because there was a lack of intensified medical care strategy and professional assessment of HIV inpatients in other departments; third, in this retrospective study, the CD4&#x0002B;T cell counts among inpatients were recorded according to the patients&#x00027; statement; therefore, we did not adjust for the levels of CD4&#x0002B;T cell counts.</p>
<p>In summary, AIDS-related illnesses remain a prominent problem for in-hospital patients. We must highlight the continuing contribution of TB and malignancies to in-hospital mortality in the people diagnosed with HIV. Further evaluation of the impact of HIV testing coverage in all hospitalized patients and the intensified medical care strategy for decreasing in-hospital mortality is crucial. HIV diagnosis and ART should be carried out as early as possible, as this can ultimately decrease both AIDS mortality and non-AIDS-related mortality.</p></sec>
<sec sec-type="data-availability" id="s5">
<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="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Clinical Research Ethics Committee of China Medical University. Written informed consent to participate in this study was provided by the participants&#x00027; legal guardian/next of kin.</p></sec>
<sec id="s7">
<title>Author Contributions</title>
<p>CL was responsible for data collection, statistical analysis, and article writing. YZ, YWa, SL, WW, XL, CS, and PL were participated in the clinical diagnosis and treatment. YWe designed the article and took part in writing and revising. Q-HH designed the article and was responsible the statistical analysis. All authors contributed to the article and approved the submitted version.</p></sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This work was supported by the Double First-Class University and discipline construction funds of China Medical University (3110119068 to YWe) and the Fund of National Natural Science (82073620 to Q-HH). The funders had no role in the study design, data collection, and analysis.</p></sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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>
</body>
<back>
<ack><p>The authors extend their sincere thanks to all participants in the study. The authors also thank all colleagues in the infectious disease of the First Affiliated Hospital of China Medical University for their professional assistance.</p>
</ack>
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<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gustafson</surname> <given-names>R</given-names></name> <name><surname>Demlow</surname> <given-names>SE</given-names></name> <name><surname>Nathoo</surname> <given-names>A</given-names></name> <name><surname>McKee</surname> <given-names>G</given-names></name> <name><surname>MacDonald</surname> <given-names>LE</given-names></name> <name><surname>Chu</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Routine HIV testing in acute care hospitals: changing practice to curb a local HIV epidemic in Vancouver, BC</article-title>. <source>Prev Med</source>. (<year>2020</year>) <volume>137</volume>:<fpage>106132</fpage>. <pub-id pub-id-type="doi">10.1016/j.ypmed.2020.106132</pub-id><pub-id pub-id-type="pmid">32442444</pub-id></citation></ref>
</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>AIDS</term>
<def><p>acquired immune deficiency syndrome</p></def></def-item>
<def-item><term>HIV</term>
<def><p>human immunodeficiency virus</p></def></def-item>
<def-item><term>ART</term>
<def><p>antiretroviral therapy</p></def></def-item>
<def-item><term>MDT</term>
<def><p>multidisciplinary team</p></def></def-item>
<def-item><term>BMI</term>
<def><p>body mass index</p></def></def-item>
<def-item><term>WHO</term>
<def><p>World Health Organization</p></def></def-item>
<def-item><term>HB</term>
<def><p>hemoglobin</p></def></def-item>
<def-item><term>PLT</term>
<def><p>platelet</p></def></def-item>
<def-item><term>ALT</term>
<def><p>glutamic alanine transaminase</p></def></def-item>
<def-item><term>ALB</term>
<def><p>albumin</p></def></def-item>
<def-item><term>Scr</term>
<def><p>serum creatinine</p></def></def-item>
<def-item><term>CRP</term>
<def><p>C-reactive protein</p></def></def-item>
<def-item><term>TB</term>
<def><p>tuberculosis</p></def></def-item>
<def-item><term>PJP</term>
<def><p>pneumocystis <italic>jiroveci</italic> pneumonia</p></def></def-item>
<def-item><term>CNS</term>
<def><p>central nervous system</p></def></def-item>
<def-item><term>HR</term>
<def><p>hazard ratio</p></def></def-item>
<def-item><term>CI</term>
<def><p>credibility interval</p></def></def-item>
<def-item><term>MSM</term>
<def><p>men who have sex with men</p></def></def-item>
<def-item><term>CMV</term>
<def><p>cytomegalovirus.</p></def></def-item>
</def-list>
</glossary>
</back>
</article>