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Table 3 Logistic regression models for the early prediction of persistent severe SA-AKI and KRT

From: Low HDL-C can be a biomarker to predict persistent severe AKI in septic patients? A retrospective cohort study

Variable included

Clinical model

Model 2

Odds ratio [95% CI]

p value

Odds ratio [95% CI]

p value

Persistent severe SA-AKI

    

APSIII

1.03 (1.00–1.04)

0.002

1.06 (1.03–1.09)

 < 0.001

Scr (mg/dL)

1.23 (1.03–1.50)

0.027

1.29 (1.13–1.49)

0.024

Lactate (mmol/L)

1.24 (1.05–1.38)

0.003

1.22 (1.07–1.39)

0.003

Heart rate (beats/min)

1.01 (1.00–1.03)

0.05

1.02 (1.00–1.03)

0.047

APTT (s)

1.00 (1.00–1.02)

0.02

1.00 (1.00–1.02)

0.021

ΔScr (mg/dL)

1.90 (1.27–2.97)

0.003

1.92 (1.28–3.20)

0.002

HDL-C (mg/dL)

–

–

1.00 (0.98–1.02)

0.45

AUROC

0.88

AUROC

0.88

 

KRT

    

APSIII

1.02 (1.00–1.06)

0.0378

1.02 (1.00–1.06)

0.0376

Scr (mg/dL)

3.86 (2.47–6.60)

 < 0.001

3.87 (2.47–6.66)

 < 0.001

Lactate (mmol/L)

1.24 (1.01–1.53)

0.033

1.25 (1.01–1.54)

0.033

Platelets (k/uL)

0.99 (0.98–0.99)

0.009

0.99 (0.97–0.99)

0.01

HDL-C (mg/dL)

–

–

0.99 (0.96–1.03)

0.78

AUROC

0.94

AUROC

0.94

 
  1. Data are presented as odds ratios [95% confidence intervals]. SA-AKI sepsis associated acute kidney injury; APS III Acute Physiology Score III, ΔScr changes in serum creatinine within 24 after ICU admission, HDL-C high density lipoprotein cholesterol, Scr serum creatinine, KRT kidney replacement therapy