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Table 5 The multivariate logistic regression analysis on the in-hospital mortality

From: Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19

 

Model 1

Model 2

OR

95%CI

p-value

OR

95%CI

p-value

Chest CT findings

3.31

1.61–6.79

0.0011

3.72

1.86–7.43

0.0002

Numbers of comorbidity

1.30

0.74–2.30

0.3622

2.02

1.28–3.19

0.0025

Total bilirubin

1.05

0.97–1.14

0.2037

1.04

0.98–1.10

0.1919

Age

1.05

0.999–1.10

0.0575

1.04

1.003–1.08

0.0342

Total lymphocyte count

0.06

0.02–0.23

< 0.0001

   

C-statistic

0.92

0.88

  1. Model 1 was adjusted by baseline the severity of chest computed tomography (CT) findings, numbers of comorbidities, total bilirubin, age, and total lymphocyte count. Model 2 was adjusted by baseline chest CT findings, numbers of comorbidities, total bilirubin, and age. OR Odds ratio, CI Confidence interval
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Nutrition Journal

ISSN: 1475-2891

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