Table 4

Predictors of mortality by univariate and multivariable logistic regression analysis

VariablesMortalityUnivariateMultivariable
Yes (n = 188)No (n = 248)OR (CI 95%)pOR (CI 95%)p

Male gender

n/total (%)

56/188 (29.8%)56/248 (22.6%)1.45 (0.94–2.24)0.89

Age, years

(mean ± SD)

93.9 ± 3.493.3 ± 3.41.05 (0.99–1.11)0.961.12 (1.04–1.21)0.002

Charlson’s

score ≥ 6

n/total (%)

144/188 (76.6%)111/248 (44.8%)1.90 (1.30–2.80)0.011.69 (1.01–2.83)0.049

Length of hospital

stay, days

(mean ± SD)

21.2 ± 20.313.1 ± 11.21.04 (1.02–1.05)< 0.001

ICU admission

n/total (%)

170/188 (90.4%)162/248 (65.3%)5.01 (2.89–8.70)< 0.001

Mechanical

ventilation

n/total (%)

87/188 (46.3%)9/248 (3.6%)22.87 (11.08–47.21)< 0.0015.29 (2.24–12.46)< 0.001

Vasopressors

n/total (%)

116/187 (62.0%)21/248 (8.5%)17.66 (10.33–30.17)< 0.0016.82 (3.55–13.11)< 0.001
AKI all cases131/188 (69.7%)65/248 (26.2%)6.47 (4.25–9.85)< 0.001
AKI KDIGO 149/188 (26.1%)47/248 (18.9%)3.35 (2.03–5.51)< 0.0012.01 (1.09–3.72)0.025
AKI KDIGO 238/188 (20.2%)11/248 (4.4%)11.09 (5.32–23.11)< 0.0014.95 (2.05–11.94)< 0.001
AKI KDIGO 344/188 (23.4%)7/248 (2.8%)20.18 (8.61–47.27)< 0.0016.52 (2.37–17.98)< 0.001
Community AKI14/188 (7.4%)31/248 (12.5%)1.45 (0.72–2.91)0.297
Hospital AKI97/188 (51.6%)28/248 (11.3%)11.12 (6.65–18.61)< 0.001
Community and Hospital AKI20/188 (10.6%)6/248 (2.4%)10.70 (4.10–27.94)< 0.001
RRT13/188 (6.9%)0/248 (0.0%)(−)< 0,001

Legend: RRT Renal Replacement Therapy, OR Odds ratio, CI Confidence interval, SD Standard deviation, ICU Intensive care unit, AKI Acute kidney injury, KDIGO Kidney Disease Improving Global Outcomes. Note: the following variables entered the multivariable logistic regression model: age, Charlson’s score ≥ 6, length of hospital stay, ICU admission, mechanical ventilation, vasopresssors, AKI stage and RRT. The last column only shows the ones that remained statistically significant at the last step of the multivariable model

Bold entries are variables with p values < 0.10 on univariate analyses were selected for inclusion in stepwise backward multivariable logistic regression models and variables with p values < 0.05 in final analyses were considered statistically significant

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