Abstract
Background:
Several reports suggested that acute kidney injury (AKI) is a relatively common occurrence in hospitalized COVID-19 patients, but its prevalence is inconsistently reported across different populations. Moreover, it is unknown whether AKI results from a direct infection of the kidney by SARS-CoV-2 or it is a consequence of the physiologic disturbances and therapies used to treat COVID-19. We aimed to estimate the prevalence of AKI since it varies by geographical settings, time periods, and populations studied and to investigate whether clinical information and laboratory findings collected at hospital admission might influence AKI incidence (and mortality) in a particular point in time during hospitalization for COVID-19.
Methods:
Herein we conducted a prospective longitudinal study investigating the prevalence of AKI and associated factors in 997 COVID-19 patients admitted to the Baqiyatallah general hospital of Tehran (Iran), collecting both clinical information and several dates (of: birth; hospital admission; AKI onset; ICU admission; hospital discharge; death). In order to examine how the clinical factors influenced AKI incidence and all-cause mortality during hospitalization, survival analysis using the Cox proportional-hazard models was adopted. Two separate multiple Cox regression models were fitted for each outcome (AKI and death).
Results:
In this group of hospitalized COVID-19 patients, the prevalence of AKI was 28.5% and the mortality rate was 19.3%. AKI incidence was significantly enhanced by diabetes, hyperkalemia, higher levels of WBC count, and blood urea nitrogen (BUN). COVID-19 patients more likely to die over the course of their hospitalization were those presenting a joint association between ICU admission with either severe COVID-19 or even mild/moderate COVID-19, hypokalemia, and higher levels of BUN, WBC, and LDH measured at hospital admission. Diabetes and comorbidities did not increase the mortality risk among these hospitalized COVID-19 patients.
Conclusions:
Since the majority of patients developed AKI after ICU referral and 40% of them were admitted to ICU within 2 days since hospital admission, these patients may have been already in critical clinical conditions at admission, despite being affected by a mild/moderate form of COVID-19, suggesting the need of early monitoring of these patients for the onset of eventual systemic complications.
Background
SARS-CoV-2 is known for its ability to invade various organs (). Earlier studies on the impact of COVID-19 focused on the pulmonary system, and dysfunctions of other organs were attributed to hyper-inflammatory response and thrombophilia-inducing multiorgan failure (MOF).
ACE-2 and TMPRSS-2, surface cell proteins expressed by various tissues, are targeted by SARS-CoV-2. In addition to the respiratory system, ACE-2 and TMPRSS-2 are also expressed in the gastrointestinal tract, brain, and vessels (–). Furthermore, ACE-2 is highly expressed in renal proximal tubules, where SARS-CoV-2 particles were detected postmortem in podocytes of COVID-19 patients, suggesting that the kidneys could also be one of the targets of SARS-CoV-2 (, ). Acute kidney injury (AKI)—a common finding in hospitalized COVID-19 patients—can interfere with the conventional management of COVID-19, resulting in poorer prognosis in terms of higher risk of mortality, intensive care unit (ICU) admission, and prolonged hospitalization (, ). It is unknown, however, whether AKI results from a direct infection of the kidney by SARS-CoV-2 or as a consequence of the physiologic disturbances and therapies used to treat the viral disease ().
Up until November 14, 2021, the cumulative number of COVID-19 infections globally was 3,800,000,000, with a 1%–2% hospitalization rate and a mortality rate of 194.5/100,000 (). Prevalence of AKI in COVID-19 patients is inconsistently reported, ranging from 0.5% in China () to 80% among critically ill COVID-19 patients in France (, ). While AKI prevalence among COVID-19 patients was low in initial reports from China, subsequent figures became much higher, suggesting the kidney as one of the main organs targeted by SARS-CoV-2 (). For instance, in an observational cohort study conducted in a large tertiary care university hospital in Wuhan (China), enrolling all consecutive COVID-19 inpatients older than 65 years during January 2020, the prevalence of AKI was 14% (). In a meta-analysis on 6,945 COVID-19 patients from China, Italy, the UK, and the USA recruited from 2019 to May 11, 2020, the incidence of AKI was 8.9% [95% CI: 4.6–14.5] (). Higher AKI figures (46%) were observed among 3,993 COVID-19 patients aged ≥18 years admitted to the Mount Sinai Health System (New York) from February 27 to May 30, 2020 (), and in another study (rate of 32%) in New York city on a cohort of 5,216 US veterans hospitalized for COVID-19 from February 1, 2020, to July 23, 2020 (, ). Likewise, the incidence of AKI on 5.449 COVID-19 patients admitted to 18 university and community hospitals of New York between March 1 and April 5, 2020, was 36.6% (). Lower AKI figures have been reported in Europe during the first pandemic wave, for instance in a multicenter study on 1,855 admissions for COVID-19 in London hospitals from January 1, 2020, up to May 14, 2020, where 455 patients (a rate of 24.5%) developed AKI (). Likewise, prevalence of AKI among hospitalized COVID-19 patients was estimated to be 22.4% in an Italian study (). By contrast, a study from Brazil reported an incidence of AKI of 71% among critically ill COVID-19 patients ().
In view of the above, we carried out a prospective study on hospitalized COVID-19 patients in Tehran (Iran) with a double aim:
To estimate the prevalence of AKI, since it varies by geographical settings, time periods, and populations studied; and
To investigate the risk factors predicting AKI occurrence, assessing their impact on survival of hospitalized COVID-19 patients.
Methods
This single-center longitudinal prospective study was conducted at Baqiyatallah general hospital in Tehran (Iran), from October 22, 2020, until January 7, 2021, during the third wave of the COVID-19 pandemic (Figure 1) (). The study received approval from the research ethic committee of Baqiyatallah University of Medical Sciences. COVID-19 diagnosis was confirmed by RT-PCR on nasopharyngeal swabs, as per WHO guidelines ().
Figure 1
Following triage telephone consultations, 5,890 patients with COVID-19 symptoms were referred to Accident & Emergency (A&E) of Baqiyatallah general hospital of Tehran (Iran) from October 22, 2020, until January 7, 2021. Two thousand COVID-19 patients were randomly selected (using a simple random code generator software) among those 3,099 hospitalized for more than 1 day. Patients receiving alternative experimental treatments (N = 110) were excluded since they were part of other clinical trials. Furthermore, patients with missing data on past medical history and serum creatinine and those with only one documented creatinine measurement were excluded (Figure 2). The final number of patients analyzed in this study was 997, broken down into 625 patients affected by mild/moderate COVID-19 and 372 patients with severe disease (Figure 2).
Figure 2

Flowchart with inclusion/exclusion criteria of hospitalized COVID-19 patients enrolled in this study from October 22, 2020–January 7, 2021.
Variables
All variables were collected from hospital records (and stratified as follows).
* Oxygen supplement (strata: mask, mask with bag reserve, non-invasive ventilation, intubation);
* Degree of severity of COVID-19.
⚬ Mild COVID-19 (
a) Any signs and symptoms of COVID-19 (fever, cough, sore throat, malaise, headache, muscle pain, nausea, vomiting, diarrhea, loss of taste and smell), BUT
b) No shortness of breath, dyspnea, or abnormal chest imaging.
⚬ Moderate COVID-19 (
a) ≥94% O2 saturation without mask, AND
b) <50% lung involvement at imaging.
⚬ Severe COVID-19 (
a) SpO2 <94%; OR
b) Respiratory rate ≥30, OR
c) PaO2/FiO2 <300 mmHg; OR
d) Signs of pulmonary involvement at imaging ≥50%.
* Sex (female and male);
* Age (years: mean ± SD; classes: <47; 47–56; 57–65; 66+ years);
* Timeline of AKI onset (days since hospital admission: mean ± SD; classes: <2; 2–3; 4–6; and 7+ days);
* Length of hospital stay (LoS: mean ± SD; classes: <7; 7–9; 10–13; 14+ days);
* ICU admission (no, yes)
* Timeline of ICU (days since hospital admission: mean ± SD; classes: <2; 3–5; 6+ days);
* Mortality (no, yes);
* Comorbidities: diabetes mellitus (no, yes); hypertension (no, yes); ischemic heart disease (IHD: no, yes); chronic heart failure (CHF: no, yes); end-stage liver disease (ESLD: no, yes); chronic obstructive pulmonary disease—interstitial lung disease (COPD-ILD: no, yes); chronic kidney disease (CKD: no, yes if eGFRr <45); [CKD: no, yes if Estimated Glomerular Filtration Rate (eGFR) <45]
* AKI stage (stage 1, stage 2, stage 3).
The International Classification of Diseases (ICD10) was used to evaluate mortality and comorbidities. AKI and stage of renal failure were identified using Kidney Disease: Improving Global Outcomes (KDIGO) guidelines (
Figure 3

Stages of renal failure by kidney disease according to Improving Global Outcomes (KDIGO) guidelines.
* eGFR (mL/min/1.73 m2): mean ± SD. The following formula for modification of diet in renal disease (MDRD) was used to estimate the glomerular filtration rate:
eGFR = 186 × (Cr)−1.154 × (Age)−0.203× (1.212 if Black) × (0.742 if Female)
* Electrolyte imbalance: natremia (hypo Na+ <135 mEq/l; Hyper Na+ >145 mEq/l); kalemia (Hypo K+ <3.5 mEq/l; hyper K+ > 5 mEq/l); magnesemia (hypo Mg2+ <1.46 mg/dl; hyper Mg2+ >2.68 mg/dl); calcemia (hypo Ca2+ <8.8 mg/dl; hyper Ca2+ >10.5 mg/dl).
* White blood cells, WBC (× 109/l): mean ± SD;
* Platelets (× 109/l): mean ± SD;
* Hemoglobin (g/dl): mean ± SD;
* Lactate de-hydrogenase, LDH (U/L); mean ± SD;
* Blood creatinine (mg/dL): mean ± SD;
* Blood urea nitrogen (BUN; mg/dL): mean ± SD.
All clinical information but ICU referral was collected at hospital admission. Blood creatinine and BUN were also measured at end of follow-up (hospital discharge or death).
The national guidelines of the Iran Ministry of Health (MoH) and medical education as well as WHO guidelines on management of COVID-19 (
After the initial admission, all patients were evaluated, monitored, and treated for volume depletion and high blood sugar. All patients were stabilized in A&E department before being transferred to COVID-19 wards and constantly monitored for their hemodynamic status during hospitalization. Treatment of patients was mainly supportive and based on WHO guidelines on COVID-19 patient management at the time of the study. The only non-steroid-anti-inflammatory drug (NSAID) used was naproxen, administered routinely but to patients with low eGFR and with other contradictions. Enoxaparin or heparin was used as anticoagulants. In patients with mild/moderate COVID-19, dexamethasone was administered, whereas in those affected by severe disease methylprednisolone pulse was employed. Antibiotic therapy was administered only in case of secondary bacterial infection.
Treatment drugs were adjusted based upon eGFR and administration of diuretics; ACE inhibitors and angiotensin II receptor blockers were refrained in patients at risk of AKI. Furthermore, remdesivir was not administered in patients with eGFR<30 mg/dl/1.73 m2, because of its debated nephrotoxicity risk (
Statistical Analysis
Distribution of variables by AKI status (yes vs. no) was estimated by chi-squared test in case of categorical terms, whereas ANOVA was employed for comparison of continuous terms by AKI. The distribution of timeline of ICU referral since hospital admission was contrasted by the mean length of hospital stay (LoS, in days), AKI onset (yes vs. no), timeline of AKI onset (days since hospital admission), and vital status at end of follow-up (death or discharge). The mean and median concentration of BUN and blood creatinine were contrasted between hospital admission and end of hospital dischargefollow-up by Wilcoxon test.
This prospective study was conducted over a short period of time collecting both clinical information and several dates (of: birth; hospital admission; AKI onset; ICU admission; hospital discharge; death). In order to examine how the above risk factors influenced mortality risk and AKI incidence during hospitalization in a particular point in time, survival analysis using the Cox proportional-hazard models was adopted. Two separate multiple Cox regression models were fitted for each outcome (AKI and death). The two multivariable models were built up only including variables significant at univariable analysis.
Statistical interaction was modeled by including a product of ICU and severity of COVID-19 in the regression model to evaluate whether COVID-19 severity modified the association between ICU and in-hospital mortality. Similarly, we assessed the interaction between ICU and AKI and between COVID-19 severity and AKI. Results were expressed as hazard ratio (HR) with 95% confidence interval (95% CI). Non-significant terms at multivariable analysis were omitted from the respective tables. The level of significance for each test was set at 0.05. All terms and interactions not being significant were dropped out, and the corresponding results were not shown in the tables.
Statistical analysis was conducted using Stata 14.2 (Stata Corporation, College Station, Texas, USA).
Results
As shown in Table 1, 37.3% patients were affected by severe COVID-19, whose average age was 56.6 ± 14.7 years, with 60% (N = 599) of them being males. The mean LoS was 8.8 days, 33% (=330/997) had to be admitted to ICU, and 19% (=192/997) died. AKI was more prevalent in male patients and increased with age and severity of COVID-19 and among those referred to ICU, with a progressively higher prevalence with increasing number of days between hospital admission and ICU referral. The most common comorbidity was diabetes mellitus (49.5% = 493/997) followed by hypertension (31.9% = 318/997), ischemic heart disease and heart failure (12.4% = 124/997), and chronic kidney disease (8.5% = 85/997). With the exception of COPD and liver disorders, all pre-existing morbidities were significantly higher among patients developing AKI (Figure 4). Finally, patients developing AKI were featured by higher levels of BUN, creatinine, WBC, and LDH (Table 1).
Table 1
| FACTORS | STRATA | Total (N=997)N (%) | AKI - N (row %) | p-value | ||
|---|---|---|---|---|---|---|
| NO (N=712; 71.5%) | YES(N=285; 28.5%) | |||||
| COVID-19 | Mild/Moderate | 625 (62.7) | 483 (77.3) | 142 (22.7) | <0.001 | |
| Severe | 372 (37.3) | 229 (61.6) | 143 (38.4) | |||
| Oxygen supplement | Mask | 268 (26.9) | 241 (89.9) | 27 (10.1) | <0.001 | |
| Mask with bag reserve | 356 (35.7) | 290 (81.6) | 66 (18.5) | |||
| Non-invasive ventilation | 141 (14.1) | 85 (60.3) | 56 (39.7) | |||
| Intubation | 232 (23.4) | 96 (41.4) | 136 (58.6) | |||
| AKI Stage | Stage 1 | 176 (61.8) | – | 176 | – | |
| Stage 2 | 59 (20.7) | – | 59 | |||
| Stage 3 | 50 (17.5) | – | 50 | |||
| Timeline of AKI onset (days since admission) | Mean ± SD | 5.6 ± 3.5 | – | – | – | |
| <2 | 46 (16.1) | – | 46 | – | ||
| 2-3 | 55 (19.3) | – | 55 | |||
| 4-6 | 96 (33.7) | – | 96 | |||
| 7+ | 88 (30.9) | – | 88 | |||
| LoS (days) | Mean ± SD | 8.80 ± 4.35 | 7.84 ± 3.35 | 11.19 ± 5.52 | <0.001 | |
| <7 | 322 (32.3) | 270 (83.9) | 52 (16.2) | <0.001 | ||
| 7-9 | 369 (37.0) | 286 (77.5 | 83 (22.5) | |||
| 10-13 | 175 (17.6) | 109 (62.3) | 66 37.7) | |||
| 14+ | 131 (13.1) | 47 (35.9) | 84 (64.1) | |||
| Age (years) | Mean ± SD | 56.6 ± 14.7 | 55.0 ± 14.7 | 60.8 ± 13.9 | <0.001a | |
| <47 | 246 (24.7) | 204 (82.9) | 42 (17.1) | <0.001 | ||
| 47-56 | 241 (24.2) | 181 (75.1) | 60 (24.9) | |||
| 57-65 | 249 (25.0) | 166 (66.7) | 83 (33.3) | |||
| 66+ | 261 (26.2) | 161 (61.7) | 100 (38.3) | |||
| Sex | Female | 398 (39.9) | 308 (77.4) | 90 (22.6) | 0.001 | |
| Male | 599 (60.1) | 404 (67.5) | 195 (32.6) | |||
| ICU Admission | No | 667 (66.9) | 532 (79.8) | 135 (20.2) | <0.001 | |
| Yes | 330 (33.1) | 180 (54.6) | 150 (45.5) | |||
| Timeline of ICU (days since admission) | Mean ± SD | 3.7 ± 2.5 | 3.6 ± 2.3 | 3.9 ± 2.6 | 0.252 | |
| <2 | 127 (38.5) | 73 (57.5) | 54 (42.5) | 0.277 | ||
| 3-5 | 120 (36.4) | 68 (56.7) | 52 (43.3) | |||
| 6+ | 83 (25.2) | 39 (47.0) | 44 (53.0) | |||
| Mortality | No | 805 (80.7) | 650 (80.8) | 155 (519.3) | <0.001 | |
| yes | 192 (19.3) | 62 (32.3) | 130 (67.7) | |||
| Comorbidities | Diabetes mellitus | No | 504 (50.6) | 415 (82.3) | 89 (17.7) | <0.001 |
| Yes | 493 (49.5) | 297 (60.2) | 196 (39.8) | |||
| Hypertension | No | 679 (68.1) | 529 (77.9) | 150 (22.1) | <0.001 | |
| Yes | 318 (31.9) | 183 (57.6) | 135 (42.5) | |||
| IHD, CHF | No | 873 (87.6) | 642 (73.5) | 231 (26.5) | <0.001 | |
| Yes | 124 (12.4) | 70 (56.5) | 54 (43.6) | |||
| ESLD | No | 987 (99.0) | 706 (71.5) | 281 (28.5) | 0.422 b | |
| Yes | 10 (1.0) | 6 (60.0) | 4 (40.0) | |||
| COPD-ILD | No | 984 (98.7) | 703 (71.4) | 281 (28.6) | 0.861 b | |
| Yes | 13 (1.3 ) | 9 69.2) | 4 (30.8) | |||
| CKD (eGFRr<45) | No | 912 (91.5) | 668 (73.3) | 244 (26.8) | <0.001 | |
| Yes | 85 (8.5 ) | 44 (51.8) | 41 (48.2) | |||
| Electrolyte imbalance | Na+ (mEq/L) | Mean ± SD | 134.91 ± 4.95 | 135.21 ± 4.69 | 134.18 ± 5.49 | 0.004 |
| <135 | 435 (44.9) | 286 (65.8) | 149 (34.3) | <0.001 | ||
| 135-145 | 517 (53.4) | 396 (76.6) | 121 (23.4) | |||
| >145 | 16 (1.5) | 8 (50.0) | 8 (50.0) | |||
| K+ (mEq/L) | Mean ± SD | 4.17 ± 0.60 | 4.13 ± 0.53 | 4.28 ± 0.74 | <0.001 | |
| <3.5 | 79 (8.2) | 54 (68.4) | 25 (31.7) | <0.001 | ||
| 3.5-5.0 | 812 (84.0) | 598 (73.7) | 214 (26.4) | |||
| > 5 | 76 (7.9) | 36 (47.4) | 40 (52.6) | |||
| Mg 2+(md/dL) | Mean ± SD | 1.89 ± 0.39 | 1.90 ± 0.36 | 1.87 ± 0.46 | 0.370a | |
| <1.7 | 214 (26.0) | 244 (67.4) | 118 (32.6) | 0.008 | ||
| 1.7-3 | 684 (73.4) | 444 (73.5) | 160 (26.5) | |||
| >3 | 5 (0.6) | 1 (20.0) | 4 (80.0) | |||
| Ca 2+ (mg/dL) | Mean ± SD | 8.81 ± 0.97 | 8.86 ± 0.92 | 8.70 ± 1.09 | 0.080 | |
| <8.8 | 179 (32.2) | 117 (63.6) | 62 (34.6) | 0.047 | ||
| 8.8-10.5 | 367 (66.0) | 276 (75.2) | 91 (24.0) | |||
| >10.5 | 10 (1.8) | 8 (80.0) | 2 (20.0) | |||
| eGFR (ml/min/1.73m2) | Mean ± SD | 78.35 ± 26.46 | 79.71 ± 25.49 | 74.96 ± 28.52 | 0.010 | |
| <90 | 698 (70.0) | 248 (24.1) | 51 (5.1) | 0.934 | ||
| 90-119 | 248 (24.9) | 175 (70.6) | 73 (29.4) | |||
| 120+ | 51 (5.1) | 3 (72.6) | 14 (27.5) | |||
| WBC (× 109/L) | Mean ± SD | 8.73 ± 7.19 | 8.16 ± 6.53 | 10.15 ± 9.08 | <0.001 | |
| <5.2 | 238 (23.1) | 183 (76.9) | 55 (23.1) | <0.001 | ||
| 5.2-7.1 | 255 (25.6) | 193 (75.7) | 62 (24.3) | |||
| 7.2-10.4 | 253 (25.4) | 182 (71.9) | 71 (28.1) | |||
| 10.5+ | 252 (25.2) | 154 (61.4) | 97 (38.7) | |||
| Platelets (× 109/L) | Mean ± SD | 209.72 ± 93.93 | 214.25 ± 93.08 | 198.38 ± 95.26 | 0.016 | |
| <147 | 249 (25.0) | 169 (67.9) | 80 (32.1) | 0.333 | ||
| 147/190 | 249 (25.0) | 175 (70.3) | 74 (29.7) | |||
| 191/260 | 247 (24.8) | 179 (72.5) | 68 (275) | |||
| 261+ | 252 (25.3) | 189 (75.0) | 63 (25.0) | |||
| LDH (U/L) | Mean ± SD | 848.60 ± 619.23 | 765.63 ± 345.35 | 1058.57 ± 996.71 | <0.001 | |
| <564 | 216 (25.0) | 1771 (81.9) | 39 (18.1) | <0.001 | ||
| 564/753 | 213 (24.6) | 166 (77.9) | 47 (22.1) | |||
| 754-997 | 216 (25.0) | 150 (69.4) | 66 (30.6) | |||
| 978+ | 220 (25.4) | 127 (57.7) | 93 (42.3) | |||
| BUN (mg/dL) | Mean ± SD | 19.23 ± 10.51 | 17.41 ± 9.30 | 23.80 ± 11.91 | <0.001 | |
| <14 | 240 (24.1) | 211 (87.9) | 29 (12.1) | <0.001 | ||
| 14-15 | 172 (17.3) | 135 (78.5) | 37 (21.5) | |||
| 16-20 | 316 (317) | 228 (72.2) | 88 (27.9) | |||
| 21+ | 269 (26.9) | 138 (51.3) | 131 (48.7) | |||
| Blood Creatinine (mg/dL) | Mean ± SD | 1.14 ± 0.74 | 1.08 ± 0.74 | 1.27 ± 0.74 | <0.001 | |
| <0.7 | 17 (1.7) | 15 (88.2) | 2 (11.8) | <0.001 | ||
| 0.7-1.2 | 749 (75.1) | 584 (78.0) | 165 (22.0) | |||
| >1.2 | 231 (232) | 113 (48.9) | 118 (51.1) | |||
| Hemoglobin (g/dl) | Mean ± SD | 13.55 ± 2.10 | 13.69 ± 1.95 | 13.21 ± 2.4 | 0.001 | |
Distribution of COVID-19 patients by Acute Kidney Injuries (AKI). Number (N), column percentage (%) and p-value of ANOVA (mean differences) or chi square test (difference in proportions).
LoS, Length of hospital stay; ICU, Intensive care unit; AKI, Acute kidney injury; IHD, Ischemic heart disease; CHF, Chronic heart failure; CKD, Chronic kidney disease; COPD, chronic obstructive pulmonary disease; ILD, Interstitial lung disease; ESLD, End stage liver disease; WBC, White Blood Cells; LDH, Lactate de-hydrogenase; eGFR, Estimated Glomerular Filtration Rate.
Figure 4

Distribution of comorbidities among COVID-19 patients at hospital admission. IHD, ischemic heart disease; CHF, chronic heart failure; CKD, chronic kidney disease; COPD, chronic obstructive pulmonary disease; ILD, interstitial lung disease; ESLD, end-stage liver disease.
As is shown in Table 2, the majority of patients were referred to ICU within 2 days (N = 127, 38.5%) or 3–5 days (N = 120; 36.4%) since hospital admission, and the increasing timeline between hospitalization and ICU referral translated into longer LoS. Prevalence of AKI was higher among patients affected by a milder form of COVID-19 referred to the ICU within 2 days since hospital admission, whereas among those developing AKI 3+ days since admission to hospital, it progressively increased with days since hospital admission to ICU referral (42.5% for patients admitted <2 days since hospital admission to 53.0% among those referred to the ICU 6+ days since hospital admission). The death rate was 19.3% (=192/997), 67.7% (=130/192) vs. 32.3% (=62/192) among those not developing AKI (Table 2). The majority of COVID-19 patients developed AKI after ICU referral, and the death rate also increased with days since hospital admission to ICU referral (Table 2).
Table 2
| ICU admission | LoS (days) | AKI onset Number (row %) | Patient outcome N (row %) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Timeline (days since hospital admission) | Patients’ breakdown | N (%) | M ± SD | No N = 712 (71.5) | Yes N = 285 (28.5) | Before ICU admission(N = 30) | Same day as ICU admission(N = 22) | After ICU admission (N = 98) | Survived | Deceased | ||
| All patients N = 805 (80.7) | AKIN = 155 (19.3) | All patients N = 192 (19.3) | AKI N = 130 (45.6) | |||||||||
| <2 | All | 127 (38.5) | 9.5 ± 5.9 | 73 (57.5) | 54 (42.5) | 5 (9.3) | 7 (13.0) | 42 (77.8) | 72 (56.7) | 15 (27.8) | 55 (43.3) | 39 (72.2) |
| Mild/moderate COVID-19 | 47 (37.0) | 8.9 ± 4.9 | 29 (61.7) | 18 (30.3) | 4 (22.2) | 4 (22.2) | 10 (55.6) | 30 (63.8) | 8 (44.4) | 17 (36.2) | 10 (55.6) | |
| Severe COVID-19 | 80 (63.0) | 9.8 ± 6.4 | 44 (55.4) | 36 (45.0) | 1 (2.8) | 3 (8.3) | 32 (88.9) | 42(52.5) | 29 (80.6) | 38 (47.5) | 7 (19.4) | |
| 3–5 | All | 120 (36.4) | 11.0 ± 5.1 | 68 (56.7) | 52 (43.3) | 13 (25.0) | 7 (13.5) | 32 (61.5) | 53 (44.2) | 6 (11.5) | 67 (55.8) | 46 (88.5) |
| Mild/moderate COVID-19 | 58 (48.3) | 10.6 ± 5.4 | 37 (65.8) | 21 (36.2) | 6 (28.6) | 3 (14.3) | 12 (57.1) | 29 (50.0) | 4 (19.1) | 29 (50.0) | 17 (81.0) | |
| Severe COVID-19 | 62 (51.7) | 11.5 ± 4.9 | 31 (50.0) | 31 (50.0) | 7 (22.6) | 4 (12.9) | 20 (64.5) | 24 (38.7) | 2 (6.5) | 38 (61.3) | 29 (93.4) | |
| 6+ | All | 83 (25.2) | 13.1 ± 4.7 | 39 (47.0) | 44 (53.0) | 12 (27.3) | 8 (18.2) | 24 (54.6) | 27 (32.5) | 11 (25.0) | 56 (76.5) | 13 (75.0) |
| Mild/moderate COVID-19 | 30 (36.1) | 13.7 ± 5.2 | 16 (53.3) | 14 (46.7) | 1 (7.1) | 5 (35.7) | 8 (57.1) | 12 (40.0) | 6 (42.9) | 18 (60.0) | 8 (57.1) | |
| Severe COVID-19 | 53 (63.9) | 12.7 ± 4.4 | 23 (43.4) | 30 (56.6) | 11 (36.7) | 3 (10.0) | 16 (53.3) | 15 (28.3) | 25 (83.3) | 38 (71.7) | 5 (16.7) | |
Distribution of timeline of intensive care unit (ICU) admission, by severity of COVID-19, length of hospital stay (LoS, in days), acute kidney injury (AKI) onset (yes vs. no), and patient outcome (death vs. survival). Number (N), percentages (%), mean (M) ± standard deviation (SD).
As is shown in Table 3, both BUN and blood creatinine increased considerably more for COVID-19 patients developing AKI, from admission to end of follow-up.
Table 3
| CLINICAL PARAMETERS | Patients without AKI | Patients developing AKI | |||||||
| Admission | Final | Difference | p-value | Admission | Final | Difference | p-value | ||
| BUN (mg/dL) | M ± SD | 17.41 ± 9.30 | 19.02 ± 10.62 | -1.6 1± 4.49 | <0.001 | 23.8 ± 11.9 | 40.5 ± 24.2 | 16.72 ± 21.28 | <0.001 |
| Median (IQR) | 16 (13; 19) | 17 (13; 21) | 0 (-3; 0) | 20 (16; 28) | 31 (23; 50) | -10 (24; -4) | |||
| Blood Creatinine (mg/dL) | M ± SD | 1.08 ± 0.74 | 1.11 ± 0.76 | -0.03 ± 0.16 | <0.001 | 1.27 ± 0.74 | 2.09 ± 1.53 | 0.82 ± 1.23 | <0.001 |
| Median (IQR) | 1 (0.9; 1.1) | 1 (0.9; 1.1 | 0 (-0.1; 0) | 1 (0.9; 1.4) | 1.5 (1.3; 2.2) | -0.4 (-0.9;-0.3) | |||
Variation of blood urea nitrogen (BUN) and blood creatinine from hospital admission to end of follow-up (hospital discharge or death).
MEAN (M) ± standard deviation (SD). Difference, difference between baseline (hospital admission) to end of follow-up (final); Wilcoxon test p-value; IQR, interquartile range (IQR). AKI, acute kidney injury; BUN, blood urea nitrogen.
Table 4 displays the results of a multiple Cox regression model on AKI onset among study subjects hospitalized for COVID-19. COVID-19 patients who at hospital admission were affected by diabetes mellitus (HR = 1.72; 95% CI: 1.26; 2.38), hyperkalemia (HR = 1.64; 95% CI: 1.08; 2.48), progressively higher levels of BUN (>14 mg/dl), and WBC count (>5.1 × 109/L) were more likely to develop AKI during hospitalization.
Table 4
| Factors | Strata | Univariable analysis HR (95% CI) | Multivariable analysis aHR (95% CI) |
|---|---|---|---|
| Diabetes mellitus | No | Reference | Reference |
| Yes | 1.70 (1.32; 2.19) | 1.69 (1.24; 2.33) | |
| Any other comorbidity* | No | reference | |
| Yes | 1.43 (1.13; 1.83) | ||
| Na+ (mEq/L) | <135 | 1.36 (1.07; 1.73) | |
| 135–145 | Reference | ||
| >135 | 1.56 (0.76; 3.20) | ||
| K+ (mEq/L) | <3.5 | 1.25 (0.82; 1.89) | 1.16 (0.73; 1.85) |
| 3.5–5 | Reference | Reference | |
| >5 | 1.95 (1.39; 2.74) | 1.63 (1.08; 2.47) | |
| Mg2+ (mg/dL) | <1.7 | 0.85 (0.63; 1.15) | |
| 1.7–3.0 | Reference | ||
| >3.0 | 3.86 (1.43; 10.47) | ||
| WBC (× 109/L) | <5.2 | Reference | Reference |
| 5.2–7.1 | 1.45 (1.01; 2.10) | 1.53 (1.02; 2.31) | |
| 7.2–10.4 | 1.42 (1.00; 2.02) | 1.43 (0.95; 2.15) | |
| 10.5+ | 1.80 (1.29; 2.51) | 1.52 (1.03; 2.25) | |
| BUN (mg/dL) | <14 | Reference | Reference |
| 14–15 | 1.73 (1.06; 2.83) | 1.98 (1.12; 3.48) | |
| 16–20 | 2.33 (1.52; 3.57) | 2.44 (1.49; 4.01) | |
| 21+ | 2.26 (1.49; 3.41) | 2.29 (1.43; 3.67) | |
| eGFR (ml/min/1.73 m2) | <90 | 0.77 (0.59; 1.00) | |
| 90–120 | Reference | ||
| 120+ | 1.41 (0.79; 2.51) |
Multiple Cox regression model on the risk of acute kidney injuries (AKI).
*Hypertension; ischemic heart disease: chronic heart failure; chronic kidney disease; chronic obstructive pulmonary disease; interstitial lung disease; end-stage liver disease.
Hazard ratio unadjusted (HR) and adjusted (aHR) with 95% confidence interval (95%CI). Multiple regression model fitted on 814 complete (case analysis) observations and adjusted for diabetes mellitus, any comorbidity, natremia, kalemia, magnesemia, WBC,white blood cells (WBCs) and blodd urea nitrogen (BUN) at admission.
Table 5 displays the results of a multivariable Cox regression model for in-hospital mortality. The untoward prognostic risks were found among patients who at admission were affected by hypokalemia (HR = 2.23; 95% CI: 1.32; 3.78), higher levels of BUN (>16 mg/dl), and LDH and increasing WBC count (>7.2 × 109/l). At multivariable analysis, ICU admission significantly increased the risk of death from severe COVID-19 (HR = 7.34; 95% CI: 2.41; 22.35) and even more from mild/moderate COVID-19 (HR = 10.14; 95% CI: 3.55; 28.98). No other interactions (between ICU and AKI, and between COVID-19 and AKI) were statistically significant.
Table 5
| Factors | Strata | Univariable analysis HR (95%CI) | Multivariable analysis aHR (95%CI) |
| Age | <47 | Reference | |
| 47–56 | 1.66 (0.93; 2.97) | ||
| 57–65 | 2.03 (1.16; 3.56) | ||
| 66+ | 2.27 (1.32; 3.90) | ||
| AKI | No | Reference | |
| Yes | 1.91 (1.39; 2.63) | ||
| COVID-19 | Mild/Moderate | Reference | |
| Severe | 1.72 (1.29; 2.31) | ||
| ICU admission | No | Reference | |
| Yes | 10.27 (5.90; 17.87) | ||
| Interaction ICU admission X COVID-19 severity | Mild/moderate COVID-19 and no ICU admission | Reference | Reference |
| Severe COVID-19 and no ICU admission | 1.28 (0.43; 3.81) | 1.07 (0.25; 4.56) | |
| Mild/moderate COVID-19 and ICU admission | 10.22 (5.05; 20.71) | 10.14 (3.55; 28.98) | |
| Severe COVID-19 and ICU admission | 11.72 (5.89; 23.31) | 7.34 (2.41; 22.35) | |
| Diabetes mellitus | No | Reference | |
| Yes | 2.26 (1.62; 3.16) | ||
| Any comorbidity* | No | Reference | |
| Yes | 1.81 (1.33; 2.46) | ||
| Na+ (mEq/L) | <145 | 1.19 (0.89; 1.61) | |
| 135–145 | Reference | ||
| >145 | 2.69 (1.39; 5.19) | ||
| K+ (mEq/L) | <3.5 | 2.17 (1.43; 3.30) | 2.23 (1.32; 3.78) |
| 3.5–5.0 | Reference | Reference | |
| >5.0 | 1.88 (1.22; 2.88) | 1.46 (0.80; 2.66) | |
| Mg2+ (mg/dL) | <1.7 | 0.90 (0.63; 1.29) | |
| 1.7–3 | Reference | ||
| >3 | 7.05 (2.57; 19.34) | ||
| Platelets (× 109/L) | <147 | Reference | Reference |
| 147/190 | 0.67 (0.46; 0.99) | 0.80 (0.47; 1.39) | |
| 191/260 | 0.68 (0.47; 1.00) | 0.56 (0.33; 0.94) | |
| 261+ | 0.84 (0.56; 1.27) | 0.70 (0.41; 1.17) | |
| BUN (mg/dL) | <14 | Reference | Reference |
| 14–15 | 1.35 (0.70; 2.60) | 1.91 (0.86; 4.25) | |
| 16–20 | 2.55 (1.51; 4.33) | 2.31 (1.19; 4.46) | |
| 21+ | 2.33 (1.40; 3.87) | 1.51 (0.78; 2.91) | |
| LDH (U/L) | <564 | Reference | Reference |
| 564/753 | 1.03 (0.55; 1.92) | 1.44 (0.69; 3.01) | |
| 754–997 | 1.64 (0.93; 2.89) | 1.63 (0.77; 3.48) | |
| 978+ | 2.59 (1.53; 4.38) | 2.53 (1.13; 4.69) | |
| WBC (× 109/L) | <5.2 | Reference | Reference |
| 5.2–7.1 | 1,34 (0.83; 2.16) | 1.75 (0.93; 3.26) | |
| 7.2–10.4 | 1.53 (0.98; 2.38) | 1.88 (1.04; 3.40) | |
| 10.5+ | 2.30 (1.53; 3.45) | 2.51 (1.41; 4.46) |
Multiple Cox regression model on the risk of death.
Hazard ratio (HR) with 95% confidence interval (95% CI). Model fitted on 755 complete (case analysis) observations and adjusted for severity of COVID-19, AKI, diabetes, any comorbidity. *Natremia, kalemia, magnesemia, WBC, platelets, LDH, and BUN at admission.
*Hypertension; ischemic heart disease: chronic heart failure; chronic kidney disease; chronic obstructive pulmonary disease; interstitial lung disease; end-stage liver disease
Hazard Ratio unadjusted (HR) and adjusted (aHR) with 95 confidence interval (95%CI). AKI, acute kidney injury; ICU, Intensive care unit; BUN, blood urea nitrogen; LDH, lactate dehydrogenase; WBC, white blood cells.
Discussion
Key Findings
The prevalence of AKI in the present study was 28.5%, a figure fairly in line with reports from different settings and time periods (
Interpretation of Findings
In a systematic review and meta-analysis on 14,415 COVID-19 patients from different countries, the prevalence of AKI was 11% (95% CI: 0.07–0.15; p < 0.01), hence a figure much lower than the present study. Moreover, in the latter meta-analysis AKI was significantly associated with death (OR = 8.45; 95% CI: 5.56–12.56; p < 0.001) and severe COVID-19 (OR = 13.52; 95% CI: 5.43–33.67; p < 0.001) among hospitalized patients (
Kidney involvement and AKI onset in COVID-19 patients have multiple risk factors, and several explanatory mechanisms have been proposed (Figure 5), including electrolyte imbalance, medication-induced injury, organ failure in late stages of the disease, impairment of gas exchange, hemodynamic alterations including right heart failure, systemic congestion due to fluid overload, and secondary infections/sepsis, among others (
Figure 5

Underlying mechanims contributing to onset of acute kidney injuries (AKI) in COVID-19 patients.
AKI is reportedly a frequent pattern in patients dying from COVID-19 (
This single-center clinical study was conducted from October 22, 2020, to January 7, 2021, during the third pandemic wave in Iran (Figure 1), before large-scale vaccination campaigns against COVID-19 were deployed globally. The massive surge of COVID-19 cases did not allow to perform autopsies or biopsies on patients with AKI.
Although SARS-CoV-1 proved capable of infecting kidney cells in vitro (
As already mentioned, considerable inconsistencies exist regarding the prevalence of AKI in hospitalized COVID-19 patients, with figures widely ranging from 0.5% to 80% (
Up until November 14, 2021 (before the spread of the Omicron variant), 56,900,000 cumulative COVID-19 infections were recorded in Iran, where the overall infection/hospitalization rate was 1%–3% and the mortality rate equaled to 277.5/100,000 (
Despite the inconsistencies of prevalence among COVID-19 patients, common risk factors of AKI according to the open literature are advanced age, male gender, and comorbidities such as diabetes mellitus, hypertension, CKD, ischemic heart disease, electrolyte imbalance, and inflammatory markers (
Strengths and Limitations
This study has several strengths, including a high number of hospitalized COVID-19 patients and a detailed and thorough collection of clinical variables with a good level of completeness of data, allowing to adjust risk estimates. Furthermore, rather than a cross-sectional design, this study employs a longitudinal approach and it is the first to test the interaction between ICU and severity of COVID-19, thereby disentangling the impact of ICU referral by COVID-19 severity on the mortality risk. Nevertheless, this study was conducted in the midst of the third pandemic wave in Iran, with no capacity to perform postmortem autopsies in AKI patients. Since autopsy and biopsy are essential steps to elucidate the exact mechanism of AKI in COVID-19 patients, future studies should include postmortem examination in COVID-19 patients affected by AKI.
Conclusions
The prevalence of AKI—a relatively common finding among hospitalized COVID-19 patients—was 28.5% in the present study, and the overall mortality rate was 19.3%. The risk of AKI was associated with diabetes mellitus hyperkalemia, electrolyte imbalance, and inflammation, but not with the severity of COVID-19. However, AKI did not influence the mortality risk, which increased with joint association between ICU admission and severe COVID-19 as well as mild/moderate COVID-19, hypokalemia, and higher levels of BUN, WBC, and LDH measured at hospital admission. Diabetes mellitus and comorbidities did not increase the mortality risk among these hospitalized COVID-19 patients. AKI can occur anytime in the course of COVID-19 as a possible complication arising from disturbances and therapies administered to treat even milder forms of the disease. Therefore, considering the crucial importance played by the kidneys in regulating blood pressure and filtering blood from toxic substances, COVID-19 patients should be early monitored for the onset of eventual complications, as they may be already in critical clinical condition at hospital admission.
Future research should focus on biomarkers of tubule damage predicting AKI and whether modulation of ACE2 expression by renin-angiotensin system inhibitors may be beneficial for COVID-19 patients, diminishing the risk of AKI. Finally, since the underlying cause of AKI is invasion of kidney cells by SARS-CoV-2, research should focus on drugs capable of interfering with the binding of SARS-CoV-2 with cell receptors (ACE2 and TMPRSS2), with cell endocytosis of the virus and altering the pH of lysosomes where the virus crosses once inside the cell.
Publisher’s Note
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.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The study was approved by the Medical Ethical Committee of Baqiyatallah University of Medical Sciences. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
Author contributions
ZR, BE, EN, SSH, ME, MJ, SHS, MA, ZE, and BHB designed the study etc. designed the study, collected the clinical data and samples, drafted the primary version of the manuscript, and validated the final draft. GM and LC analyzed/interpreted the data and wrote the manuscript. The authors approved the final manuscript.
Conflict of interest
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.
The reviewer AA declared a shared affiliation with the author SS to the handling editor at the time of review.
References
1
KirtipalNKumarSDubeySKDwivediVDBabuGMalýP. Understanding on the possible routes for SARS CoV-2 invasion via ACE2 in the host linked with multiple organs damage.Genet Evol (2022) 99:105254
2
BittmannSMoschüring-AlievaEAnneWElisabethLGloriaV. COVID-19: ACE-2 Receptor, MPRSS2,Cathepsin-L/B and CD-47 Receptor. J Regen. Biol Med (2020) 2(3):1–3. doi: 10.37191/Mapsci-2582-385X-2(3)-031
3
MotaghinejadMGholamiM. Possible Neurological and Mental Outcomes of COVID 19 Infection: A Hypothetical Role of ACE 2\Mas\BDNF Signaling Pathway. Int J Prev Med (2020) 11(7):11–84.
4
ShafieeSCegolonLKhafaeiMGholamiNZhaoSKhalesiNet al. Gastrointestinal Cancers, ACE-2/TMPRSS2 Expression and Susceptibility to COVID-19. (2021) 21(1):1–10. doi: 10.1186/s12935-021-02129-x
5
KihiraSScheffleinJMahmoudiKRigneyBN. DelmanBMoccoJet al. Association of Coronavirus Disease (COVID-19) With Large Vessel Occlusion Strokes: A Case-Control Study. Am J Roentgenol (2021) 216(1):150–6. doi: 10.2214/AJR.20.23847
6
SuHYangMWanCYiL-XTangFZhuH-Yet al. Renal Histopathological Analysis of 26 Postmortem Findings of Patients With COVID-19 in China. (2020) 98(1):219–27. doi: 10.1016/j.kint.2020.04.003
7
BattleDSolerMJSparksMAHiremathSSouthAMWellingPAet al. Acute Kidney Injury in COVID-19: Emerging Evidence of a Distinct Pathophysiology. J Am Soc Nephrol (2020) 31(7):1380–3. doi: 10.1681/ASN.2020040419
8
FisherMNeugartenJBellinEYunesMStahlLJohnsTSet al. AKI in Hospitalized Patients With and Without COVID-19: A Comparison Study. J Am Soc Nephrol (2020) 31(9):2145–57. doi: 10.1681/ASN.2020040509
9
RoncoCReisTHusain-SyedFJTLRM. Management of Acute Kidney Injury in Patients With COVID-19. Lancet Respir Med (2020) 8(7):738–42. doi: 10.1016/S2213-2600(20)30229-0
10
PalevskyPM. COVID-19 and AKI: Where Do We Stand? J Am Soc Nephrol (2021) 32(5):1029–32. doi: 10.1681/ASN.2020121768
11
COVID-19 Cumulative Infection Collaborators. Estimating Global, Regional, and National Daily and Cumulative Infections With SARS-CoV-2 Through Nov 14, 2021: A Statistical Analysis. Lancet (2022) 8;S0140-6736(22)00484-6. doi: 10.1016/S0140-6736(22)00484-6
12
Guan W-jNiZ-yHuYLiangW-HOuC-QHeJ-Xet al. Clinical Characteristics of Coronavirus Disease 2019 in China. New Engl J Med (2020) 382:1708–20. doi: 10.1056/NEJMoa2002032
13
RubinSOrieuxAPrevelRGarricABatsM-LDabernatSet al. Characterisation of Acute Kidney Injury in Critically Ill Patients With Severe Coronavirus Disease-2019 (COVID-19). medRxiv (2020) 13(3):354–61. doi: 10.1101/2020.05.06.20069872
14
SabaghianTKharazmiABAnsariAet al. COVID-19 and Acute Kidney Injury: A Systematic Review. Front Med (Lausanne) (2022) 9:705908. doi: 10.3389/fmed.2022.705908
15
ChengYLuoRWangKet al. Kidney Disease is Associated With in-Hospital Death of Patients With COVID-19. Kidney Int (2020) 97:829–38. doi: 10.1016/j.kint.2020.03.005
16
YanQZuoPChengLLiYSongKChenYet al. Acute Kidney Injury Is Associated With In-Hospital Mortality in Older Patients With COVID-19. J Gerontol. A Biol Sci Med Sci (2021) 76(3):456–62. doi: 10.1093/gerona/glaa181
17
ChenYTShaoSCHsuCKWuIWHungMJChenYC. Incidence of Acute Kidney Injury in COVID-19 Infection: A Systematic Review and Meta-Analysis. Crit Care (2020) 24(1):1–4. doi: 10.1186/s13054-020-03009-y
18
ChanLChaudharyKSahaAChauhanKVaidAZhaoSet al. AKI in Hospitalized Patients With COVID-19. J Am Soc Nephrol (2021) 32(1):151–60. doi: 10.1681/ASN.2020050615
19
BoweBCaiMXieYGibsonAKMaddukuriGAl-AlyZ. Acute Kidney Injury in a National Cohort of Hospitalized US Veterans With COVID-19. Clin J Am Soc Nephrol (2020) 16(1):14–25. doi: 10.2215/CJN.09610620
20
HirschJNgJHRossDWSharmaPShahHHBarnettRLet al. Acute Kidney Injury in Patients Hospitalized With COVID-19. Kidney Int (2020) 98(1):209–18. doi: 10.1016/j.kint.2020.05.006
21
WanYIBienZApeaVJOrkinCMDhairyawanRKirwanCJet al. Acute Kidney Injury in COVID-19: Multicentre Prospective Analysis of Registry Data. Clin Kidney J (2021) 14(11):2356–64. doi: 10.1093/ckj/sfab071
22
AlfanoGFerrariAFontanaFMoriGMagistroniRMeschiariMet al. Incidence, Risk Factors and Outcome of Acute Kidney Injury (AKI) in Patients With COVID-19. Clin Exp Nephrol (2021) 25(11):1203–14. doi: 10.1007/s10157-021-02092-x
23
De AlmeidaDCMdCPFDos SantosDRPSantosMCMaltoniISMascotteFet al. Acute Kidney Injury: Incidence, Risk Factors, and Outcomes in Severe COVID-19 Patients. PloS One (2021) 16(5):e0251048. doi: 10.1371/journal.pone.0251048
24
Worldometer. Coronavirus Update. Available at: https://www.worldometers.info/coronavirus/country/iran%20/ (Accessed 10th May 2022).
25
World Health Organization a. Diagnostic Testing for SARS-CoV-2. Available at: https://www.who.int/publications/i/item/diagnostic-testing-for-sars-cov-2 (Accessed 14th May 2022).
26
NIH. Coronavirus Disease 2019 (COVID-19) Treatment Guidelines. Available at: https://www.covid19treatmentguidelines.nih.gov (Accessed 14th May 2022).
27
Acute Kidney Injury (AKI). Kidney Disease: Improving Global Outcomes (2022) Available from: https://kdigo.org/guidelines/acute-kidney-injury/
28
RahmanzadeRRahmanzadehRHashemianSMTabarsiP. Iran's Approach to COVID-19: Evolving Treatment Protocols and Ongoing Clinical Trials. Front Public Health (2020) 8:551889. doi: 10.3389/fpubh.2020.551889
29
World Health Organization b. Therapeutics and COVID-19: Living Guideliens. .Available at: https://www.who.int/publications/i/item/WHO-2019-nCoV-therapeutics-2022.3 (Accessed 14th May 2022).
30
Center for Disease Control & Prevention (CDC). COVID-19 Treatment and Medications. Available at: https://www.cdc.gov/coronavirus/2019-ncov/your-health/treatments-for-severe-illness.html (Accessed 14th May 2022).
31
GérardAOLaurainAFresseAParassolNMuzzoneMRocherFet al. Remdesivir and Acute Renal Failure: A Potential Safety Signal From Disproportionality Analysis of the WHO Safety Database. Clin Pharmacol Ther (2021) 109(4):1021–4. doi: 10.1002/cpt.2145
32
NadimMKForniLGMehtaRLConnorJMLiuKDOstermannMet al. COVID-19-Associated Acute Kidney Injury: Consensus Report of the 25th Acute Disease Quality Initiative (ADQI) Workgroup. Nat Rev Nephrol (2020) 16:747–64. doi: 10.1038/s41581-020-00356-5
33
MenonTSharmaRKatariaSSardarSAdhikariRTousifSet al. The Association of Acute Kidney Injury With Disease Severity and Mortality in COVID-19: A Systematic Review and Meta-Analysis. Cureus (2021) 13(3):e13894. doi: 10.7759/cureus.13894
34
FanelliVFiorentinoMCantaluppiVGesualdoLStalloneGRoncoCet al. Acute Kidney Injury in SARS-CoV-2 Infected Patients. Crit Care (2020) 24(1):1–3. doi: 10.1186/s13054-020-02872-z
35
PeiGZhangZPengJLiuLZhangCYuCet al. Renal Involvement and Early Prognosis in Patients With COVID-19 Pneumonia. J Am Soc Nephrol (2020) 31:1157–65. doi: 10.1681/ASN.2020030276
36
ArikanHOzturkSTokgozBDursunBSeyahiNTrabulusSet al. Characteristics and Outcomes of Acute Kidney Injury in Hospitalized COVID-19 Patients: A Multicenter Study by the Turkish Society of Nephrology. PloS One (2021) 16(8):e0256023.
37
FaourWHChoaibAIssaE. Mechanisms of COVID-19-Induced Kidney Injury and Current Pharmacotherapies. Inflammation Res (2022) 71(1):39–56. doi: 10.1007/s00011-021-01520-8
38
TeixeiraJPBAroneSZahediKSoleimaniM. Kidney Injury in COVID-19: Epidemiology, Molecular Mechanisms and Potential Therapeutic Targets. Int J Mol Sci (2022) 23(4):2242. doi: 10.3390/ijms23042242
39
SmithKDAkileshS. Pathogenesis of Coronavirus Disease 2019- Associated Kidney Injury. Curr Opin Nephrol Hypertens (2021) 30(3):324–31. doi: 10.1097/MNH.0000000000000708
40
SantorielloDKhairallahPBombackASXuKKudoseSBatalIet al. Postmortem Kidney Pathology Findings in Patients With COVID-19. J Am Soc Nephrol (2020) 31:2158–67. doi: 10.1681/ASN.2020050744
41
SeeYPYoungBEAngLWOoiXYChanCPLooiWLet alRisk Factors for Development of Acute Kidney Injury in COVID-19 Patients: A Retrospective Observational Cohort Study. Nephron. (2021) 145(3):256–64.
42
HeWLiuXHuBLiDChenLLiYet al. Gender and Ethnic Disparities of Acute Kidney Injury in COVID-19 Infected Patients: A Literature Review. Front Cell Infect Microbiol (2022) 11:778636. doi: 10.3389/fcimb.2021.778636
43
MinamiTIwataYWadaT.Renal Complications in Coronavirus Disease 2019: A Systematic Review. Inflamm Regen (2020) 40(13). doi: 10.1186/s41232-020-00140-9
44
WuHLarsenCPHernandez-ArroyoCFMohamedMMBCazaTSharshirMet al. AKI and Collapsing Glomerulopathy Associated With COVID-19 and APOL1 High-Risk Genotype. J Am Soc Nephrol (2020) 31(8):1688–95. doi: 10.1681/ASN.2020050558
45
AkileshSNastCCYamashitaMHenriksenKCharuVTroxellMLet al. Multicenter Clinicopathologic Correlation of Kidney Biopsies Performed in COVID-19 Patients Presenting With Acute Kidney Injury or Proteinuria. Am J Kidney Dis (2021) 77:82–93.e1. doi: 10.1053/j.ajkd.2020.10.001
46
Ortega-PazLCapodannoDMontalescotGAngiolilloDJ. COVID-19 Associated Thrombosis and Coagulopathy: Review of the Pathophysiology and Implications for Antithrombotic Management. J Am Heart Assoc (2020) 10:e019650. doi: 10.1161/JAHA.120.019650
47
NiemeyerDZillingerTMuthDZieleckiFHorvathGSulimanTet al. Middle East Respiratory Syndrome Coronavirus Accessory Protein 4a is a Type I Interferon Antagonist. J Virol (2013) 87(22):12489–95. doi: 10.1128/JVI.01845-13
48
KayeM. SARS-Associated Coronavirus Replication in Cell Lines. Emerg Infect Dis (2006) 12(1):128–33. doi: 10.3201/eid1201.050496
49
KumarGPatelDHererraMJefferiesDSakhujaAMeersmanMet al. Do High-Dose Corticosteroids Improve Outcomes in Hospitalized COVID-19 Patients? J Med Virology (2022) 94(1):372–9. doi: 10.1002/jmv.27357
50
CauAChengMPLeeTLevinALeeTCVinhDCet al. Acute Kidney Injury and Renal Replacement Therapy in COVID-19 Versus Other Respiratory Viruses: A Systematic Review and Meta-Analysis. Can J Kidney Health Dis (2021) 8:20543581211052185. doi: 10.1177/20543581211052185
51
DarbaniB. The Expression and Polymorphism of Entry Machinery for COVID-19 in Human: Juxtaposing Population Groups, Gender, and Different Tissues. Int J Environ Res Public Health (2020) 17(10):3433. doi: 10.3390/ijerph17103433
52
SaghafiAAghaaliMSaghafiH. Acute Kidney Injury in Hospitalized COVID-19 Patients in Iran; a Systematic Review and Meta-Analysis. J Renal Inj Prev (2021) 10(2):e09. doi: 10.34172/jrip.2021.09
53
Mousavi MovahedSMAkhavizadeganHDolatkhaniFNejadghaderiSAAghajaniFFaghir GangiMet al. Different Incidences of Acute Kidney Injury (AKI) and Outcomes in COVID-19 Patients With and Without non-Azithromycin Antibiotics: A Retrospective Study. J Med Virol (2021) 93(7):4411–9. doi: 10.1002/jmv.26992
54
LeeJRSilberzweigJAkchurinOChoiMESrivatanaVLinJet al. Characteristics of Acute Kidney Injury in Hospitalized COVID-19 Patients in an Urban Academic Medical Center. Clin J Am Soc Nephrol (2021) 16(2):284–6. doi: 10.2215/CJN.07440520
55
MikkonenLPihlajamaaPSahuBZhangFPJänneOA. Androgen Receptor and Androgen-Dependent Gene Expression in Lung. Mol. Cell. Endocrinol (2010) 317:14–24. doi: 10.1016/j.mce.2009.12.022
56
SamaIERaveraASantemaBTVan GoorHTer MaatenJMClelandJGFet al. Circulating Plasma Concentrations of Angiotensin-Converting Enzyme 2 Inmen and Women With Heart Failure and Effects of Renin-Angiotensin-Aldosterone Inhibitors. Eur Heart J (2020) 41:1810–17. doi: 10.1093/eurheartj/ehaa37
57
O’BrienJDuKYPengC. -Incidence, Clinical Features, and Outcomes of COVID-19 in Canada: Impact of Sex and Age. J of Ovarian Res (2020) 13:137
Summary
Keywords
acute kidney injury, COVID-19, electrolyte abnormalities, renal failure, SARS-CoV-2
Citation
Rostami Z, Mastrangelo G, Einollahi B, Nemati E, Shafiee S, Ebrahimi M, Javanbakht M, Saadat SH, Amini M, Einollahi Z, Beyram B and Cegolon L (2022) A Prospective Study on Risk Factors for Acute Kidney Injury and All-Cause Mortality in Hospitalized COVID-19 Patients From Tehran (Iran). Front. Immunol. 13:874426. doi: 10.3389/fimmu.2022.874426
Received
12 February 2022
Accepted
08 June 2022
Published
08 July 2022
Volume
13 - 2022
Edited by
Shen-Ying Zhang, The Rockefeller University, United States
Reviewed by
Stefano Candura, University of Pavia, Italy; Allan Prochazka, University of Colorado, United States; Caterina Ledda, University of Catania, Italy; Amirhesam Alirezaei, Shahid Beheshti University of Medical Sciences, Iran
Updates

Check for updates
Copyright
© 2022 Rostami, Mastrangelo, Einollahi, Nemati, Shafiee, Ebrahimi, Javanbakht, Saadat, Amini, Einollahi, Beyram and Cegolon.
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.
*Correspondence: Luca Cegolon, l.cegolon@gmail.com;luca.cegolon@units.it; Mohammad Javanbakht, mhmjvbt81@gmail.com
This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology
Disclaimer
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.