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Positive fluid balance is associated with earlier acute kidney injury in COVID-19 patients Cover

Positive fluid balance is associated with earlier acute kidney injury in COVID-19 patients

Open Access
|Apr 2026

Figures & Tables

Table 1.

Sample Characteristics of 403 Hospitalized COVID-19 Patients

VariablesM (SD) or n (%)
Net input and output average [mean]612.2 (747.38)
Age (years) [mean]58.1 (16.54)
Sex (female)159 (39.5)
Race/ethnicity
  White85 (21.1)
  Black79 (19.6)
  Hispanic214 (53.1)
  Other25 (6.2)
Insurance
  Private105 (26.1)
  Uninsured/emergency Medicaid105 (26.1)
  Regular Medicaid132 (32.8)
  Medicare61 (15.1)
Body mass index (kg/m2) [mean]29.8 (7.11)
Charlson comorbidity index [mean]2.2 (2.11)
Chronic kidney disease (yes)7 (1.7)
Intensive care unit (yes)190 (47.1)
Mechanical ventilation (yes)97 (24.1)
Nephrotoxin (yes)359 (89.1)
Vasopressor (yes)56 (13.9)
Loop diuretic (yes)63 (15.6)
Outcomes
Acute kidney injury (yes)92 (22.8)
Mortality (yes)106 (26.3)
Days to acute kidney injury [mean]7.7 (6.27)
Length of stay (days) [mean]11.5 (13.17)

[i] Note: M=mean, SD=standard deviation

Table 2.

Fluid Net Input and Output Missing Data for Each Day While In-Hospital

VariableWhole Sample Frequency (%) (n=403)No AKI Frequency (%) (n=311)Yes AKI Frequency (%) (n=92)No Mortality Frequency (%) (n=297)Yes Mortality Frequency (%) (n=106)
On day 184 (20.8)65 (20.9)19 (20.7)54 (18.2)30 (28.3)
On day 2103 (25.6)81 (26.0)22 (23.9)78 (26.3)25 (23.6)
On day 3156 (38.7)123 (39.5)33 (35.9)119 (40.1)37 (34.9)
On day 4189 (46.9)149 (47.9)40 (43.5)145 (48.8)44 (41.5)
On day 5239 (59.3)194 (62.4)45 (48.9)183 (61.6)56 (52.8)
On day 6270 (67.0)216 (69.5)54 (58.7)206 (69.4)64 (60.4)
On day 7295 (73.2)238 (76.5)57 (62.0)223 (75.1)72 (67.9)
On day 8320 (79.4)252 (81.0)68 (73.9)238 (80.1)82 (77.4)
On day 9335 (83.1)263 (84.6)72 (78.3)247 (83.2)88 (83.0)
On day 10349 (86.6)275 (88.4)74 (80.4)256 (86.2)93 (87.7)

[i] Note: AKI=acute kidney injury

Table 3.

Fluid Net Input and Output Total Number of Days Performed While In-Hospital

VariableFrequency (%) (n=403)
1 day80 (19.9)
2 days89 (22.1)
3 days41 (10.2)
4 days46 (11.4)
5 days23 (5.7)
6 days30 (7.4)
7 days22 (5.5)
8 days13 (3.2)
9 days18 (4.5)
10 days41 (10.2)
Table 4.

Multivariate Logistic Regression Analyses for Acute Kidney Injury

VariablesWhole sample OR (95% CI) (n=403)p-valueNo ICU OR (95% CI) (n=213)p-valueYes ICU OR (95% CI) (n=190)p-value
Net input and output average1.00 (1.00, 1.00)0.761.00 (1.00, 1.00)0.481.00 (1.00, 1.00)1.00
Age (years)0.99 (0.96, 1.02)0.390.97 (0.92, 1.02)0.221.01 (0.97, 1.04)0.76
Sex (female)0.89 (0.44, 1.79)0.742.15 (0.63, 7.37)0.220.56 (0.22, 1.42)0.22
Race/ethnicity
  White1.001.001.00
  Black2.99 (1.05, 8.51)0.049.98 (0.97, 102.57)0.0531.62 (0.41, 6.49)0.50
  Hispanic1.75 (0.68, 4.54)0.254.44 (0.39, 50.95)0.231.59 (0.50, 5.01)0.43
  Other1.65 (0.41, 6.67)0.48<0.001 (<0.001,---)1.001.80 (0.33, 9.65)0.50
Insurance
  Private1.001.001.00
  Uninsured/emergency Medicaid0.63 (0.25, 1.570.321.01 (0.21, 4.931.000.43 (0.13, 1.42)0.16
  Regular Medicaid0.58 (0.25, 1.35)0.200.56 (0.12, 2.60)0.460.62(0.21, 1.85)0.39
  Medicare0.45 (0.15, 1.36)0.161.33 (0.16, 11.08)0.790.39 (0.10, 1.54)0.18
Body mass index (kg/m2)1.00 (0.96, 1.05)0.881.02 (0.94, 1.10)0.711.00 (0.95, 1.06)0.99
Charlson comorbidity index1.17 (0.94, 1.45)0.151.39 (1.02, 1.91)0.040.97 (0.71, 1.32)0.84
Chronic kidney disease (yes)1.55 (0.10, 22.02)0.75<0.001 (<0.001,---)1.005.24 (0.17, 161.05)0.34
Intensive care unit (yes)1.54 (0.61, 3.91)0.36------------
Mechanical ventilation (yes)28.43 (11.77, 68.68)<0.001------25.27 (10.33, 61.83)<0.001
Nephrotoxin (yes)1.16 (0.33, 4.15)0.811.00 (0.23, 4.32)1.004.78 (0.33, 69.01)0.25
Vasopressor (yes)1.20 (0.16, 8.96)0.86------1.37 (0.20, 9.51)0.75
Loop diuretic (yes)1.09 (0.48, 2.51)0.84<0.001 (<0.001,---)1.001.53 (0.60, 3.91)0.37

[i] Note: OR=odds ratio, CI=confidence interval, ICU=intensive care unit. In the model of no ICU, there were no patients with mechanical ventilation or vasopressor. Nagelkerke R Square: whole sample=0.51, no ICU=0.20, yes ICU=0.51.

Table 5.

Multivariate Logistic Regression Analyses for Mortality

VariablesWhole sample OR (95% CI) (n=403)p-valueNo ICU OR (95% CI) (n=213)p-valueYes ICU OR (95% CI) (n=190)p-value
Net input and output average1.001 (1.0001, 1.0011)0.021.00 (1.00, 1.00)0.791.001 (1.0002, 1.0013)0.01
Age (years)1.05 (1.02, 1.08)0.0011.07 (0.99, 1.15)0.091.04 (1.01, 1.08)0.01
Sex (female)1.48 (0.66, 3.35)0.341.14 (0.19, 6.92)0.891.61 (0.62, 4.24)0.33
Race/ethnicity
  White1.001.001.00
  Black0.61 (0.19, 1.92)0.390.85 (0.13, 5.58)0.860.44 (0.10, 1.84)0.26
  Hispanic0.62 (0.22, 1.74)0.360.22 (0.02, 3.19)0.270.85 (0.25, 2.90)0.79
  Other0.50 (0.10, 2.56)0.40<0.001 (<0.001,---)1.000.85 (0.14, 5.32)0.86
Insurance
  Private1.001.001.00
  Uninsured/emergency Medicaid0.80 (0.25, 2.62)0.721.77*107 (<0.001,---)1.000.70 (0.19, 2.57)0.59
  Regular Medicaid2.57 (0.90, 7.35)0.084.50*107 (<0.001,---)1.002.88 (0.88, 9.38)0.08
  Medicare3.00 (0.85, 10.60)0.093.23*107 (<0.001,---)1.002.50 (0.60, 10.45)0.21
Body mass index (kg/m2)1.00 (0.95, 1.06)0.950.80 (0.61, 1.04)0.091.04 (0.98, 1.10)0.23
Charlson comorbidity index1.06 (0.84, 1.34)0.620.86 (0.53, 1.42)0.561.15 (0.87, 1.51)0.34
Chronic kidney disease (yes)1.30 (0.10, 17.93)0.843.11 (<0.001,---)1.001.41 (0.07, 27.23)0.82
Intensive care unit (yes)10.18 (3.67, 28.22)<0.001------------
Mechanical ventilation (yes)23.46 (9.24, 59.57)<0.001------23.16 (8.91, 60.19)<0.001
Nephrotoxin (yes)0.49 (0.12, 1.92)0.300.50 (0.05, 5.08)0.560.64 (0.08, 4.80)0.66
Vasopressor (yes)17.58 (1.23, 250.55)0.03------17.24 (1.21, 245.50)0.04
Loop diuretic (yes)0.60 (0.22, 1.63)0.32<0.001 (<0.001,---)1.000.67 (0.24, 1.89)0.45

[i] Note: OR=odds ratio, CI=confidence interval, ICU=intensive care unit. In the model of no ICU, there were no patients with mechanical ventilation or vasopressor. In the model of no ICU, the Box-Tidwell test suggested that the assumption of linearity of the logit for the Charlson comorbidity index was not met. An analytical model excluding the Charlson comorbidity index as a predictor variable had the same significance pattern as the model including the Charlson comorbidity index as a predictor variable. Data shown in the table is for the analytical model including the Charlson comorbidity index. Nagelkerke R Square: whole sample=0.69, no ICU=0.41, yes ICU=0.59.

Table 6.

Multivariate Linear Regression Analyses for Days to Acute Kidney Injury

VariablesWhole sample B (SE) (n=403)p-valueNo ICU B (SE) (n=213)p-valueYes ICU B (SE) (n=190)p-value
Net input and output average−6.63*10−5 (<0.001)0.0031.52*10−5 (<0.001)0.65<0.001 (<0.001)<0.001
Age (years)0.001 (0.001)0.33−0.001 (0.002)0.780.002 (0.002)0.22
Sex (female)0.01 (0.03)0.89−0.05 (0.04)0.290.07 (0.06)0.26
Race/ethnicity
  WhiteReferenceReferenceReference
  Black−0.12 (0.05)0.02−0.15 (0.06)0.02−0.10 (0.09)0.25
  Hispanic−0.07 (0.05)0.12−0.13 (0.06)0.03−0.04 (0.07)0.61
  Other−0.04 (0.08)0.57−0.12 (0.10)0.230.01 (0.11)0.96
Insurance
  PrivateReferenceReferenceReference
  Uninsured/emergency Medicaid0.06 (0.05)0.230.05 (0.06)0.390.07 (0.08)0.34
  Regular Medicaid0.03 (0.04)0.510.06 (0.06)0.27−0.01 (0.07)0.86
  Medicare−0.03 (0.06)0.590.02 (0.08)0.77−0.10 (0.09)0.23
Body mass index (kg/m2)−0.001 (0.002)0.73−0.002 (0.003)0.58−0.001 (0.003)0.82
Charlson comorbidity index0.004 (0.01)0.710.02 (0.01)0.19−0.001 (0.02)0.95
Chronic kidney disease (yes)−0.21 (0.13)0.11−0.07 (0.22)0.74−0.23 (0.18)0.20
Intensive care unit (yes)0.23 (0.04)<0.001------------
Mechanical ventilation (yes)−0.21 (0.05)<0.001------−0.18 (0.05)<0.001
Nephrotoxin (yes)0.18 (0.05)<0.0010.20 (0.06)<0.0010.07 (0.14)0.62
Vasopressor (yes)−0.01 (0.12)0.95------−0.01 (0.13)0.91
Loop diuretic (yes)0.07 (0.05)0.140.17 (0.08)0.030.01 (0.06)0.92
Constant0.56 (0.12)<0.0010.63 (0.15)<0.0010.84 (0.23)<0.001

[i] Note: B=unstandardized beta, SE=standard error, ICU=intensive care unit. In the model of no ICU, there were no patients with mechanical ventilation or vasopressor. Adjusted R Square: whole sample=0.15, no ICU=0.09, yes ICU=0.13.

Table 7.

Multivariate Linear Regression Analyses for Length of Stay in Hospital

VariablesWhole sample B (SE) (n=403)p-valueNo ICU B (SE) (n=213)p-valueYes ICU B (SE) (n=190)p-value
Net input and output average−1.90*10−5 (<0.001)0.391.83*10−5 (<0.001)0.57−2.97*10−5 (<0.001)0.33
Age (years)−0.001 (0.001)0.700.001 (0.002)0.79−0.001 (0.002)0.66
Sex (female)−0.04 (0.03)0.31−0.04 (0.04)0.32−0.02 (0.06)0.80
Race/ethnicity
  WhiteReferenceReferenceReference
  Black−0.03 (0.05)0.62−0.09 (0.06)0.120.05 (0.09)0.58
  Hispanic−0.01 (0.05)0.77−0.12 (0.06)0.040.09 (0.07)0.24
  Other−0.02 (0.08)0.85−0.12 (0.10)0.220.11 (0.12)0.32
Insurance
  PrivateReferenceReferenceReference
  Uninsured/emergency Medicaid0.07 (0.05)0.110.05 (0.06)0.350.09 (0.08)0.26
  Regular Medicaid−0.02 (0.04)0.720.05 (0.05)0.40−0.08 (0.07)0.23
  Medicare−0.05 (0.06)0.440.02 (0.08)0.77−0.11 (0.09)0.22
Body mass index (kg/m2)−0.001 (0.002)0.73−0.001 (0.003)0.81−0.01 (0.004)0.07
Charlson comorbidity index−0.004 (0.02)0.100.02 (0.01)0.12−0.01 (0.02)0.75
Chronic kidney disease (yes)−0.09 (0.13)0.50−0.11 (0.22)0.61−0.03 (0.18)0.87
Intensive care unit (yes)0.27 (0.04)<0.001------------
Mechanical ventilation (yes)0.14 (0.05)0.003------0.16 (0.05)0.004
Nephrotoxin (yes)0.18 (0.05)<0.0010.17 (0.05)0.0020.18 (0.14)0.23
Vasopressor (yes)−0.24 (0.12)0.051------−0.27 (0.13)0.04
Loop diuretic (yes)0.10 (0.05)0.030.17 (0.08)0.030.09 (0.06)0.13
Constant0.71 (0.12)<0.0010.16 (0.08)0.041.07 (0.23)<0.001

[i] Note: B=unstandardized beta, SE=standard error, ICU=intensive care unit. In the model of no ICU, there were no patients with mechanical ventilation or vasopressor. Adjusted R Square: whole sample=0.29, no ICU=0.07, yes ICU=0.11.

DOI: https://doi.org/10.62838/jccm-2026-0006 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 186 - 198
Submitted on: Dec 16, 2024
Accepted on: Jan 21, 2026
Published on: Apr 30, 2026
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Rezwan Munshi, Sandra Gomez-Paz, Salman Bhutta, Joshua Fogel, James Pellegrini, Narois Nehru, Eric Lam, Sofia Rubinstein, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.