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Table 2 Multivariable logistic regression model for predicting hospital mortality in training cohort.

From: Development and validation of a clinical risk model to predict the hospital mortality in ventilated patients with acute respiratory distress syndrome: a population-based study

Variables

Odd ratio (95% CI)

P value

Variables on the first 24 hour of ICU admission

Age

1.02 (1.01–1.03)

<0.001

Respiratory rate mean

1.04 (1.01–1.08)

0.027

INR max

1.14 (1.03–1.31)

0.029

RDW min

1.17 (1.09–1.27)

<0.001

AaDO2 max

1.002 (1.001–1.003)

0.002

Variables on the first 24 hour of invasive ventilation

vent_Tempc mean

0.70 (0.57–0.86)

<0.001

vent_Lactate max

1.15 (1.09–1.22)

<0.001

vent_BUN min

1.02 (1.01–1.03)

<0.001

vent_WBC min

1.03 (1.01–1.06)

0.021

constant

205.66

 
  1. INR international normalized ratio, RDW red blood cell distribution width, AaDO2 alveolo-arterial oxygen difference, Tempc Body temperature, BUN blood urea nitrogen, WBC white blood cell, vent ventilation, max maximum, min minimum. Variable name with the prefix of vent means the data was collected within 24 h of invasive ventilation