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. 2021 Mar 19:1–11. doi: 10.1159/000513948

Community- and Hospital-Acquired Acute Kidney Injury in COVID-19: Different Phenotypes and Dismal Prognosis

Armando J Martínez-Rueda 1, Rigoberto D Álvarez 1, R Angélica Méndez-Pérez 1, Dheni A Fernández-Camargo 1, Jorge E Gaytan-Arocha 1, Nathan Berman-Parks 1, Areli Flores-Camargo 1, Roque A Comunidad-Bonilla 1, Juan M Mejia-Vilet 1, Mauricio Arvizu-Hernandez 1, Juan C Ramirez-Sandoval 1, Ricardo Correa-Rotter 1, Olynka Vega-Vega 1,*
PMCID: PMC8089414  PMID: 33744901

Abstract

Introduction

Acute kidney injury (AKI) is common in coronavirus disease 2019 (COVID-19). It is unknown if hospital-acquired AKI (HA-AKI) and community-acquired AKI (CA-AKI) convey a distinct prognosis.

Methods

The study aim was to evaluate the incidence and risk factors associated with both CA-AKI and HA-AKI. Consecutive patients hospitalized at a reference center for COVID-19 were included in this prospective cohort study.

Results

We registered 349 (30%) AKI episodes in 1,170 hospitalized patients, 224 (19%) corresponded to CA-AKI, and 125 (11%) to HA-AKI. Compared to patients with HA-AKI, subjects with CA-AKI were older (61 years [IQR 49–70] vs. 50 years [IQR 43–61]), had more comorbidities (hypertension [44 vs. 26%], CKD [10 vs. 3%]), higher Charlson Comorbidity Index (2 points [IQR 1–4] vs. 1 point [IQR 0–2]), and presented to the emergency department with more severe disease. Mortality rates were not different between CA-AKI and HA-AKI (119 [53%] vs. 63 [50%], p = 0.66). In multivariate analysis, CA-AKI was strongly associated to a history of CKD (OR 4.17, 95% CI 1.53–11.3), hypertension (OR 1.55, 95% CI 1.01–2.36), Charlson Comorbidity Index (OR 1.16, 95% CI 1.02–1.32), and SOFA score (OR 2.19, 95% CI 1.87–2.57). HA-AKI was associated with the requirement for mechanical ventilation (OR 68.2, 95% CI 37.1–126), elevated troponin I (OR 1.95, 95% CI 1.01–3.83), and glucose levels at admission (OR 1.05, 95% CI 1.02–1.08).

Discussion/Conclusions

CA-AKI and HA-AKI portend an adverse prognosis in CO­VID-19. Nevertheless, CA-AKI was associated with a higher comorbidity burden (including CKD and hypertension), while HA-AKI occurred in younger patients by the time severe multiorgan disease developed.

Keywords: SARS-CoV-2, COVID-19, Acute kidney injury, Mortality

Introduction

The coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread to all regions of the world since December 2019 [1 ]. Due to the expression of the angiotensin-converting enzyme 2 in tubular cells and podocytes [2 ], a high incidence of kidney failure was expected to occur due to direct kidney viral damage.

Although initial postmortem biopsy series demonstrated the presence of virus-like particles in the kidney's tubular structures [3 , 4 ], larger and more recent reports using electron microscopy and/or immunohistochemistry have not detected the virus in the kidney tissue [5 , 6 , 7 , 8 ]. Besides direct cytopathic damage from the virus, several other mechanisms have been proposed to underlie kidney injury in COVID-19, including effects on the renin-angiotensin-aldosterone system, hypovolemia, and hypotension with ensuing ischemia, coagulopathy and microthrombosis, the cytokine storm, and septic kidney injury [9 , 10 , 11 ].

Acute kidney injury (AKI) seems to be common in COVID-19 [12 , 13 , 14 ], especially in patients admitted to the critical care unit (CCU) [14 , 15 , 16 ]. As it occurs in other critical illnesses, AKI in COVID-19 is associated with worsening of outcomes, including respiratory failure, in-hospital mortality, and length of hospital stay [14 , 15 ]. The KDIGO guidelines for AKI evaluation emphasize the distinction between “hospital-acquired” AKI (HA-AKI), and the AKI already present at patient admission or “community-acquired AKI” (CA-AKI) [17 ]. In a recent meta-analysis, CA-AKI was significantly associated with a higher AKI severity stage, yet lower mortality, when compared to HA-AKI [18 ].

It remains unexplored if CA-AKI or HA-AKI represents different entities with distinct prognosis in CO­VID-19 patients. This study aimed to determine the frequency, risk factors, and outcomes for CA-AKI and HA-AKI in a cohort of COVID-19 patients.

Materials and Methods

Study Population

This is a single-center, prospective, observational cohort study performed at the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, a reference center designated to treat exclusively patients with COVID-19 in Mexico City since March 16, 2020. The study was approved by the local Human Research and Ethics Boards (reference number NMM-3325-20-20-1). Written informed consent was waived due to the observational nature of the study.

All consecutive patients >18 years old admitted between March 16 and July 16 were evaluated. A prospective database collected demographic, medical history, home medications, comorbidities, clinical, laboratory, and CT-scan findings at patient admission, the requirement for attendance into a CCU, need for intubation, and/or vasopressors, urine tests, and patient outcomes. Urine testing included urine electrolytes and urinalysis by automated microscopy, performed within 24 h of the AKI detection.

All the included patients had severe COVID-19 pneumonia diagnosed by a typical chest computed tomography and/or a positive test by the PCR of a nasopharyngeal sample for SARS-CoV-2 with requirement for supplementary oxygen. We excluded patients who remained hospitalized by July 16, patients admitted and discharged voluntarily or re-admitted after discharge, patients transferred to another institution for which we were unable to obtain data, and cases with prior kidney transplantation or end-stage kidney disease.

Variable Definitions

AKI was defined and staged according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria [17 ]. Baseline serum creatinine (sCr) was defined as the mean sCr in the previous 6 months before hospitalization, or the minimum sCr value during hospitalization if previous values were unavailable [19 ]. As urine output was absent in many cases, this criterion was not considered for AKI assessment. CA-AKI was defined as the presence of AKI at admission or developing AKI <48 h after hospital admission. HA-AKI was defined as any AKI documented beyond 48 h of hospital admission.

CKD was defined by the KDIGO CKD guidelines based on previously documented findings or during the evaluation for CO­VID-19 [20 ]. The estimated glomerular filtration rate was calculated using the Chronic Kidney Disease Collaboration creatinine equation [21 ]. Recovery from AKI was operationally defined as a reduction in peak AKI stage, and further refined by a reduction in sCr level to a sCr level <1.5 times baseline [22 ]. The Charlson Comorbidity Index [23 ] was obtained to summarize comorbidity information.

Outcomes

The primary outcome was to describe the frequency and risk factors associated with CA-AKI and HA-AKI. Secondary outcomes included the requirement for admission to a CCU, final hospital disposition (discharge or death), and renal function recovery.

Statistical Analysis

Continuous variable distribution was assessed by the Kolmogorov-Smirnov test. Descriptive statistics are expressed as median (interquartile range [IQR]) for continuous variables and number (%) for categorical variables. Between-group comparisons were performed by nonparametric ANOVA with Dunnett's correction, or χ2, as appropriate.

Logistic regression was used to define the factors associated with CA-AKI and HA-AKI. Age, sex, and all variables with a p value <0.05 on bivariate analysis were included for the forward stepwise multivariate modeling. There were <1% missing values for any variable. In the case of missing data, variables were imputed by using multiple imputations. The final models were evaluated by the Hosmer-Lemeshow test. All statistical tests were two-sided, and a p value <0.05 was considered as statistically significant. All analyses were performed using SPSS 24.0 (IBM, Armonk, NY, USA) and GraphPad Prism 6.0 (GraphPad Software, San Diego, CA, USA).

Results

From March 16 to July 16, 2020, 1,534 patients were admitted to our center of which 1,477 had COVID-19 diagnosis. Of these, we included 1,170 patients for this analysis. All patients had severe COVID-19 associated pneumonia requiring oxygen supplementation. The median age of the cohort was 53 years (IQR 44–64), 730 (62%) were male, and 882 (75%) had at least 1 comorbidity. Of the total patients, 443 (38%) required admission to a CCU, 321 (27%) of the total admitted population died, and 849 (73%) were discharged home after improvement.

As shown in Figure 1 , a total of 349 (30%) patients had an AKI diagnosis. Of them, 224 (19%) and 125 (11%) were categorized as CA-AKI and HA-AKI, respectively. The cohort characteristics at the time of AKI diagnosis and at admission are summarized in Table 1 and online suppl. Tables 1 and 2 (for all online suppl. material, see www.karger.com/doi/10.1159/000513948). There were differences in multiple parameters among the CA-AKI, HA-AKI, and the no AKI groups (online suppl. Table 2). The timing of the initial development of AKI with respect to hospital admission is shown in online suppl. Figure 1.

Fig. 1.

Fig. 1

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Flow chart of the patients included in this study. HA-AKI, hospital-acquired acute kidney injury; CA-AKI, community-acquired acute kidney injury; COVID-19, coronavirus disease 2019.

Table 1.

Characteristics of the patients at the time of AKI diagnosis and disease outcomes

CA-AKI (n = 224) HA-AKI (n = 125) p value
Demographics
 Age, years 61 (49–71) 50 (43–61) <0.001
 Male, n (%) 158 (71) 84 (67) 0.546
Comorbidities
 Charlson Comorbidity Index, points 2 (1–4) 1 (0–2) <0.001
 Diabetes, n (%) 90 (40) 39 (31) 0.106
 Hypertension, n (%) 100 (45) 31 (25) <0.001
 Obesity, n (%) 93 (42) 70 (56) 0.010
 CKD, n (%) 22 (10) 3 (2) 0.015
Emergency room evaluation
 Days from the start of symptoms 7 (5–11) 7 (6–9) 0.180
 Mean arterial pressure, mm Hg 86 (76–97) 90 (81–97) 0.011
 Oxygen saturation, n (%) 78 (59–85) 80 (64–86) 0.124
Laboratory at AKI detection
 Total leukocytes, ×103/mm3 10.4 (7.6–15.0) 10.1 (8.00–13.0) 0.558
 Neutrophil to lymphocyte ratio 15.3 (8.43–24.4) 8.42 (5.18–12.7) <0.001
 Hemoglobin, g/dL 15.0 (13.6–16.3) 13.1 (11.7–14.8) <0.001
 Glucose, mg/dL 160 (116–235) 132 (101–176) <0.001
 Creatine kinase, U/L 118 (63–276) 250 (76–802) <0.001
 Lactate dehydrogenase, U/L 467 (337–629) 428 (318–548) 0.116
 C-reactive protein, mg/dL 20.2 (13.8–29.5) 19.5 (7.8–30.1) 0.141
 Ferritin, ng/mL 766 (406–1,326) 890 (508–1,387) 0.220
 D-dimer, ng/mL 1,120 (718–2,502) 2,398 (1,087–5,451) <0.001
 Troponin I >ULN, n (%) 82 (37) na
 PaO2/FiO2 ratio 159 (100–236) 131 (91–166) <0.001
 SOFA score, points 4 (3–5) 7 (6–9) <0.001
Kidney function and critical support
 Admission sCr, mg/dL 1.5 (1.3–2.0) 1.0 (0.8–1.2) <0.001
 sCr at AKI diagnosis, mg/dL 1.5 (1.3–2.0) 1.4 (1.1–2.1) 0.297
 Peak sCr, mg/dL 1.6 (1.3–2.5) 1.8 (1.3–4.1) 0.051
 Discharge sCr, mg/dL 1.0 (0.8–1.6) 1.1 (0.7–2.3) 0.207
AKI
  Stage 1, n (%) 134 (60) 47 (38) <0.001
  Stage 2, n (%) 50 (22) 30 (24) <0.001
  Stage 3, n (%) 40 (18) 48 (38) <0.001
  Days from admission to diagnosis 0 (0–0) 4 (2–8) <0.001
  Days from the start of symptoms 7 (5–11) 13 (9–19) <0.001
  RRT, n (%) 16 (7) 34 (27) <0.001
 Intubated before AKI, n (%) 109 (87)
 Intubated at any time, n (%) 66 (30) 110 (88) <0.001
 Vasopressor before AKI, n (%) 110 (88)
 AKI resolved, n (%) 167 (75) 74 (59) <0.001
Patient disposition
 General ward, n (%) 82 (37) 8 (6) <0.001
 CCU, n (%) 142 (63) 117 (94) <0.001
Outcomes
 Discharged, n (%) 105 (47) 62 (50) 0.343
 Length of hospitalization until discharge, days 10 (7–19) 26 (19–33) <0.001
 Death, n (%) 119 (53) 63 (50) 0.656
 Length of hospitalization until death, days 4 (2–8) 9 (5–17) <0.001
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CA-AKI, community-acquired acute kidney injury; HA-AKI, hospital-acquired acute kidney injury; RAAS, renin-angiotensin-aldosterone system; RRT, renal replacement therapy; ARB, angiotensin receptor blockers; ULN, upper limit of normal; SOFA, sequential organ failure assessment score; CCU, critical care unit; na, not available; sCr, serum creatinine.

Community-Acquired AKI

Among 224 (19%) patients with CA-AKI at admission, AKI was categorized as stage-1, stage-2, and stage-3 in 134 (60%), 50 (22%), and 40 (18%) cases, respectively. After excluding patients with previous CKD, AKI stage 1, stage 2, and stage 3 occurred in 124 (61%), 46 (23%), and 32 (16%) cases, respectively. Compared to patients with HA-AKI, those with CA-AKI were older (61 years [IQR 49–70] vs. 50 years [IQR 43–61]), had a higher number of comorbidities (diabetes [41 vs. 30%], hypertension [44 vs. 26%], CKD [10 vs. 3%]), higher Charlson Comorbidity Index (2 points [IQR 1–4] vs. 1 point [IQR 0–2]), and presented to the emergency department with more severe COVID-19 disease parameters, including the PaO2 to FiO2 (P/F) ratio (159 mm Hg [IQR 100–236] vs. 170 mm Hg [IQR 108–252]), high-sensitivity C-reactive protein (20.2 mg/dL [IQR 13.8–29.3] vs. 18.4 mg/dL [IQR 12.5–25.0]), D-dimer (111 ng/mL [IQR 718–2,418] vs. 732 ng/mL [IQR 532–1,427]), neutrophil to lymphocyte ratio (15.3 [IQR 8.4–24.4] vs. 10.9 [IQR 7.4–15.0]), SOFA score (4 points [IQR 3–5] vs. 3 points [IQR 2–4]), and a greater COVID-19 probability of ICU admission estimated by the ABC-GOALS score [24 ] (53% [IQR 35–81] vs. 40% [IQR 35–64]) (Table 1 ).

A total of 118 (53%) of CA-AKI cases had a urinalysis and urine electrolytes evaluation within 24 h of the AKI episode. As shown in Table 2 , sodium fractional excretion (FE) was <0.5% in 75 (71%) cases, and urinary abnormalities such as hematuria and proteinuria ≥2+ were observed in 33 (28%) and 46 (39%) patients, respectively. After excluding patients with evidence of CKD, microscopic hematuria (n = 30/102, 29%) and proteinuria ≥2 (n = 37/102, 36%) were frequent findings in CA-AKI.

Table 2.

Urinalysis and urine electrolytes in the studied groups

No AKI (n = 158) CA-AKI (n = 118) HA-AKI (n = 87) p value
Urinalysis
 Specific gravity 1.020 (1.015–1.027) 1.018 (1.015–1.024) 1.018 (1.014–1.025) 0.380
 Proteinuria (dipstick)
  Negative 44 (28) 24 (21) 32 (36)
  1+ 58 (37) 45 (39) 26 (29) 0.232
  2+ 47 (30) 40 (35) 29 (32)
  3+ 9 (6) 6 (5) 3 (3)
 Hematuria (dipstick)
  Negative 102 (65) 53 (46) 36 (40)
  1+ 35 (22) 28 (24) 19 (21) <0.001
  2+ 12 (8) 23 (20) 20 (22)
  3+ 9 (6) 11 (10) 13 (14)
 Leukocyturia, n (%) 48 (30) 52 (45) 57 (63) <0.001
 Hematuria (sediment), n (%) 33 (21) 32 (28) 52 (58) <0.001
Urine electrolytes
 Urine sodium, mmol/L 28 (15–46) 27 (16–43) 22 (12–44) 0.532
  UNa <20 mmol/L, n (%) 24 (37) 34 (43) 36 (32)
  UNa 20–40 mmol/L, n (%) 20 (31) 21 (27) 82 (32) 0.555
  UNa >40 mmol/L, n (%) 21 (32) 24 (30) 61 (32)
 FE sodium, % 0.17 (0.08–0.45) 0.30 (0.12–0.62) 0.22 (0.14–0.62) 0.046
  FENa <0.5%, n (%) 45 (78) 53 (71) 75 (71)
  FENa 0.5–1.0%, n (%) 9 (16) 13 (17) 10 (9) 0.021
  FENa 1.0–2.0%, n (%) 4 (7) 2 (3) 14 (13)
  FENa >2%, n (%) 0 (0) 7 (9) 7 (7)
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CA-AKI, community-acquired acute kidney injury; HA-AKI, hospital-acquired acute kidney injury; FE, fractional excretion.

Among patients with CA-AKI, a higher number of patients required admission to CCU than in the groups of patients without AKI (142 [63%] vs. 184 [22%], p < 0.001). Of these CA-AKI patients, 115 (81%) required admission within 72 h following AKI detection (Fig. 2 ). Renal replacement therapy (RRT) was required in 16 cases (7.1%). Of these, 3 (19%) died and 13 (81%) evolved favorably and were discharged. At the time of discharge, 5/13 (38%) still required RRT, and 8/13 (62%) recovered kidney function. The main indications for RRT were volume management (63%), hyperkalemia (25%), and acidosis (12%). In 167 (75%) patients, the AKI event had resolved by their last follow-up; nevertheless, mortality was higher for each progressive AKI stage and much higher than in patients without AKI (Fig. 3 ). Among patients discharged from hospitalization, those who experienced stage 3 AKI had a numerically higher (p = 0.096) sCr (1.3 mg/dL, IQR 0.7–2.7) than patients with stage 1 (0.9 mg/dL, IQR 0.7–1.1) or stage 2 (0.8 mg/dL, IQR 0.6–0.9) AKI, and patients without AKI (0.8 mg/dL, IQR 0.7–0.9) (Fig. 4 ).

Fig. 2.

Fig. 2

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Timing of CCU admission regarding AKI in all patients (a), CA-AKI (b), and HA-AKI (c). HA-AKI, hospital-acquired acute kidney injury; CA-AKI, community-acquired acute kidney injury; CCU, critical care unit.

Fig. 3.

Fig. 3

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Outcomes by stages of AKI. HA-AKI, hospital-acquired acute kidney injury; CA-AKI, community-acquired acute kidney injury.

Fig. 4.

Fig. 4

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Admission, peak, and last evaluation sCr in survivors (a, b) and non-survivors (c, d) with CA-AKI (a, c) and HA-AKI (b, d). * The marker represents the median and the lines the interquartile range. HA-AKI, hospital-acquired acute kidney injury; CA-AKI, community-acquired acute kidney injury; sCr, serum creatinine.

Factors Associated with CA-AKI

Several factors were associated with CA-AKI in the bivariate logistic regression analysis (Table 3 ). In the multivariate analysis, the Charlson Comorbidity Index (OR 1.16, 95% CI 1.02–1.32), a previous history of CKD (OR 4.17, 95% CI 1.53–11.3), and prior hypertension diagnosis (OR 1.55, 95% CI 1.01–2.36) were associated with CA-AKI. Furthermore, several biomarkers of COVID-19 disease severity at admission were associated with CA-AKI, including the SOFA score (OR 2.19, 95% CI 1.87–2.57), glucose levels (OR 1.04, 95% CI 1.03–1.06), creatine phosphokinase (OR 1.06, 95% CI 1.01–1.12), C-reactive protein (OR 1.04, 95% CI 1.02–1.06), and troponin I serum levels above the upper reference level (OR 1.91, 95% CI 1.20–3.05) (Table 3 ).

Table 3.

Factors associated with CA-AKI and HA-AKI

Bivariate
 Multivariate
OR (95% CI) p value HR (95% CI) p value
CA-AKI
 Charlson Comorbidity Index, per point 1.47 (1.34–1.61) <0.001 1.16 (1.02–1.32) 0.020
 CKD, versus no 8.02 (3.83–16.8) <0.001 4.17 (1.53–11.3) 0.005
 Hypertension, versus no 2.44 (1.79–3.32) <0.001 1.55 (1.01–2.36) 0.043
 SOFA score, per point 2.71 (2.34–3.14) <0.001 2.19 (1.87–2.57) <0.001
 Glucose at admission, per 10 mg/dL 1.07 (1.05–1.08) <0.001 1.04 (1.03–1.06) <0.001
 Creatine kinase, per 10 U/dL 1.05 (1.02–1.09) 0.005 1.06 (1.01–1.12) 0.021
 C-reactive protein, per mg/dL 1.08 (1.06–1.09) <0.001 1.04 (1.02–1.06) <0.001
 Troponin I >ULN, versus no 5.41 (3.78–7.75) <0.001 1.91 (1.20–3.05) 0.006
HA-AKI
 BMI, per kg/m2 1.07 (1.04–1.10) <0.001 1.04 (0.99–1.09) 0.053
 Glucose at admission, per 10 mg/dL 1.05 (1.03–1.07) <0.001 1.05 (1.02–1.08) 0.002
 Troponin I >ULN, versus no 3.61 (2.29–5.69) <0.001 1.95 (1.01–3.83) 0.046
 Intubation, versus no 77.5 (42.9–140) <0.001 68.2 (37.1–126) <0.001
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ARB, angiotensin receptor blocker; CA-AKI, community-acquired acute kidney injury; HA-AKI, hospital-acquired acute kidney injury; SOFA, sequential organ failure assessment score; ULN, upper limit of normal.

Hospital-Acquired AKI

HA-AKI was observed in 125 (11%) patients. AKI staging was categorized as 1, 2, and 3, in 47 (38%), 30 (24%), and 48 (38%) patients, respectively. After excluding patients with previous CKD, AKI stage 1, stage 2, and stage 3 occurred in 46 (38%), 30 (25%), and 46 (38%) cases, respectively. In contrast to what was observed in patients with CA-AKI, those with HA-AKI had similar age, Charlson Comorbidity Index, the prevalence of CKD, or previous use of angiotensin receptor blockers when compared to patients who did not develop AKI during their disease course. Compared to the group without AKI, HA-AKI patients had higher rates of obesity and higher disease severity parameters at admission, including the SOFA score, neutrophil to lymphocyte ratio, serum glucose, lactate dehydrogenase, C-reactive protein, troponin, D-dimer, and P/F ratio (online suppl. Table 1).

At the time of AKI diagnosis, inflammatory parameters and disease severity scores were higher in patients with HA-AKI than in patients with CA-AKI. These included higher SOFA score, lymphocyte count, serum glucose, creatine kinase, D-dimer, and lower P/F and N/L ratios and hemoglobin (Table 1 ). Compared to patients with CA-AKI, urinalysis performed for AKI evaluation in HA-AKI patients had a higher prevalence of hematuria (59 vs. 28%), but similar proportions of proteinuria >2+ (34 vs. 41%) and FE of sodium <0.5% (71 vs. 71%) (Table 2 ).

By the time of HA-AKI diagnosis, 109/125 (87%) patients were already on mechanical ventilation and 110/125 (88%) were receiving vasopressor therapy. HA-AKI developed within 72 h of intubation in 78 (67%) patients (Fig. 2 ).

RRT was required by 34 (27%) HA-AKI patients. The main indications for RRT were volume management (88%) and hyperkalemia (12%). Eighteen (53%) patients died and 16 (47%) were discharged. At the time of discharge, 15/16 (94%) recovered enough kidney function to suspend RRT and 1/16 (6%) was still under RRT. Within the whole HA-AKI group, 74 (59%) resolved their AKI by their last observation. Among patients discharged from hospitalization, the sCr at discharge was significantly higher (p = 0.008) in patients who experienced stage 3 AKI (1.6 mg/dL, IQR 0.7–2.1) than in patients with stage 1 (0.7 mg/dL, IQR 0.6–0.8) or stage 2 (0.8 mg/dL, IQR 0.6–0.9) AKI, and patients without AKI (0.8 mg/dL, IQR 0.7–0.9) (Fig. 4 ). Mortality increased by each progressive stage of HA-AKI but was not different than in the CA-AKI group (Fig. 3 ).

Factors Associated with HA-AKI Development

When HA-AKI was compared to CA-AKI, the Charlson Comorbidity Index, age, history of CKD, and prior diagnosis of hypertension were not found to be significant in the bivariate logistic regression analysis. In the multivariate analysis, intubation (OR 68.2, 95% CI 37.1–126), cardiac troponin I levels above the upper reference limit (OR 1.95, 95% CI 1.01–3.83), and glucose at admission (OR 1.05, 95% CI 1.02–1.08) were independently associated with HA-AKI development (Table 3 ).

Discussion/Conclusion

As the COVID-19 pandemic evolves, it is becoming more evident that AKI is a common event in hospitalized COVID-19 patients. In this study, we observed that both CA-AKI and HA-AKI are strong indicators of severe COVID-19 and are associated with mortality rates above 50%. Nevertheless, there were clear distinctions between CA-AKI and HA-AKI [1 ]: CA-AKI proportion was almost double yet less severe than HA-AKI (19 vs. 11%) [2 ]; CA-AKI occurred in patients with less “renal resilience” and high susceptibility to acute insults, as it was observed more frequently in older patients, with a high proportion of comorbidities as diabetes, CKD, and hypertension [3 ]; HA-AKI developed more commonly in younger patients without comorbidities, appeared suddenly as a stage 3 AKI in half of the cases after 2–8 days of hospitalization, and was accompanied by severe organ dysfunction assessed by the SOFA score, commonly with severe pneumonia requiring invasive mechanical ventilation [4 ]; both AKI classes occurred along with an intense inflammatory response and close to admission to the CCU.

AKI occurs in 8.4–46% of COVID-19 patients [12 , 13 , 14 ], with incidences up to 75% in patients admitted to a CCU [14 , 15 , 16 ]. However, the exact incidence of AKI associated with COVID-19 is imprecise and inconstant, as depends on illness severity, study design, selected population, and the site of AKI occurrence (e.g., CCU, general hospital wards, and ambulatory clinic).

In many epidemiological studies, the global incidence of CA-AKI in non-COVID-19 illness appears to be rising, especially in older populations with chronic comorbidities [25 , 26 ]. In a recent report, the occurrence of CA-AKI versus HA-AKI in COVID-19 patients was estimated to occur in a proportion between 2:1 and 3:1 [13 , 27 ], similar to our results. We propose that the categorization of CA-AKI and HA-AKI may be useful to understand the variable AKI rates reported in COVID-19.

It is extensively known that AKI development is associated with higher mortality risk, with rates of up to 40–50% in non-COVID-19 patients with acute respiratory distress syndrome [28 , 29 ]. Specifically, AKI associated with COVID-19 has been linked to a longer duration of mechanical ventilation, length of hospitalization stay, and a greater mortality risk [16 ]. The convenience to categorize AKI into CA-AKI and HA-AKI has been put into question, given that both entities are supposedly associated with similar long-term sequelae and mortality [30 , 31 ]. However, 2 previous meta-analyses suggested that CA-AKI has a better prognosis than HA-AKI, with a lower incidence of oliguria, reduced risk for CCU admission, and shorter hospital stay [18 , 32 ]. In this cohort, we observed that patients with HA-AKI had a fourfold longer hospitalization stay, a greater need for RRT, and a lower proportion of renal function recovery. Moreover, both CA-AKI and HA-AKI were associated with similar mortality rates. A recent Spanish cohort of COVID-19 patients reported the same finding [33 ]. We hypothesize that older patients, with higher comorbidity burden, present sooner with kidney failure, but they are also more likely to die rapidly from severe COVID-19. Conversely, younger patients, with fewer comorbidities and higher resilience, may survive longer and develop severe AKI once severe multiorgan disease is present. It is also possible that treatment and invasive support may have been limited in a proportion of patients with CA-AKI due to their previous medical conditions or due to limited critical care area availability.

Several parameters reflecting COVID-19-induced inflammation have been associated with prognosis. These parameters include the serum levels of C-reactive protein, lactate dehydrogenase, ferritin, procalcitonin, a high neutrophil to lymphocyte ratio, along with biomarkers of organ dysfunction such as cardiac-specific troponin I or biomarkers of oxygenation [34 , 35 ]. All these parameters along with higher SOFA scores were frequently observed in both forms of AKI. For patients with CA-AKI, these parameters were elevated from admission, while in patients with HA-AKI, these increased from admission to the time of AKI development.

As reported here and in other studies [13 , 14 ], the main factor associated with HA-AKI in COVID-19 is the need for intubation and mechanical ventilation. Acute respiratory distress syndrome may induce AKI through several mechanisms, among which one important is the production of inflammatory cytokines, such as interleukin-6 [36 , 37 ]. In a systematic review and meta-analysis, van den Akker et al. [38 ] found that the pooled odds ratio for AKI in mechanically ventilated patients was 3.16. Moreover, AKI development also worsens lung injury by perpetuating an inflammatory environment, promoting immune cell dysfunction and fluid overload, among other mechanisms [39 ].

The precise etiology of AKI in our cohort could not be fully elucidated and given the diversity of presentation is probably diverse and, in many cases multifactorial. Sepsis and hemodynamic instability may have a predominant role in HA-AKI cases, given that 80% of patients in the HA-AKI were under vasopressors by the time of AKI diagnosis. Microcirculatory dysfunction in sepsis due to the local and systemic release of pro-inflammatory cytokines, such as IL-6 and TNF-α, may induce intrarenal hemodynamic changes, including afferent arteriole vasoconstriction [40 , 41 , 42 ]. In a previous study, 65% of AKI episodes occurred in COVID-19 patients under vasopressor treatment, and the etiology was ascribed to be acute tubular injury [13 ]. In biopsy studies, almost all patients have been reported to have variable degrees of acute tubular injury, and 40–61% of them received vasopressor therapy. Interestingly, we found a FE of sodium below 1% at AKI diagnosis in 88 and 80% of patients with CA-AKI and HA-AKI, respectively, suggesting glomerular hypoperfusion and at least partially conserved tubular sodium absorption, without a full classic acute tubular injury. These results contrast a FE of sodium <1% prevalence of 38% reported in a previous study in COVID-19 patients [13 ].

In addition to the tubular damage commonly described in critically ill patients, other mechanisms may contribute to kidney damage, such as inflammatory nephritis [43 , 44 ], vascular microthrombosis [45 ], or subclinical glomerulopathy, among others. As reported here and previously, dipstick hematuria and proteinuria are frequent findings in COVID-19 patients. A proteinuria >2+ was observed in 41 and 34% of patients with CA-AKI and HA-AKI, respectively. These proteinuria percentages remained similar after excluding CKD cases and were similar to the prevalence of 39–44% in previous series [13 , 46 ]. Proteinuria is hypothesized to be secondary to capillary leakage and/or decreased proximal tubular recapture [47 ], although we could not rule out a glomerular origin. Hematuria is also frequently reported, with a prevalence of 28 and 59% observed in CA-AKI and HA-AKI. Cheng et al. [46 ] observed a comparable percentage of hematuria, of 37%. It will probably be necessary to perform more kidney biopsies, even in the postmortem period, to assess if hematuria is a marker of more severe COVID-19 or if this indicates a subgroup of patients with direct damage to kidney tissue by SARS-CoV-2.

Our study has limitations. Even when the data were prospectively collected, we were not able to register the nephrology consultant's specific diagnoses. Urine sediment analysis was based on the automated analysis and not on visual evaluation by the nephrologist. AKI was exclusively defined and staged by sCr criteria as information on urine output was not available, thus the true AKI prevalence is likely to be higher in our population. Treatment data were not included in the analyses as most patients were included in randomized blinded clinical trials.

In conclusion, both CA-AKI and HA-AKI portend an adverse prognosis in COVID-19 patients. CA-AKI was associated with a higher comorbidity burden (including CKD and hypertension) and COVID-19 disease severity, while HA-AKI occurred in younger patients along with severe multiorganic disease and respiratory failure.

Statement of Ethics

This study was approved by our local Research and Ethics Boards (reference number NMM-3325-20-20-1) and was conducted ethically in accordance with the World Medical Association Declaration of Helsinki.

Conflict of Interest Statement

The authors have nothing to disclose.

Funding Sources

This study was performed with local funds of the Department of Nephrology and Mineral Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.

Author Contributions

Conception and study design: A.J.M.R., J.M.M.V., M.A.H., R.C.R., and O.V.V. Data acquisition: A.J.M.R., R.D.A., R.A.M.P., D.A.F.C., J.E.G.A., N.B.P., A.F.C., R.A.C.B., and J.M.M.V. Data cleaning and preparation of the final database: A.M.J.R., R.D.A., R.A.M.P., D.A.F.C., and J.M.M.V. Analysis and interpretation of data: J.M.M.V., M.A.H., J.C.R.S., R.C.R., and O.V.V. Drafting and revising of the manuscript: all authors.

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