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Table 4 Association between in-hospital death and temperature-trajectory phenotype in logistic regression models

From: Novel phenotypes of coronavirus disease: a temperature-based trajectory model

  Model 1 Model 2 Model 3
  Crude OR (95% CI) p Multivariable logistic model aOR (95% CI) p Multivariable logistic model with 1000 bootstraps, aOR (95% CI) p
Normothermic Ref. Ref. Ref.
Fever, fast resolvers 2.0 (1.3–3.0)  < 0.001 1.2 (0.7–2.2) 0.377 1.2 (0.6–2.2) 0.364
Gradual fever onset 2.6 (1.7–4.1)  < 0.001 2.1 (1.1–4.0) 0.021 2.1 (1.1–3.9) 0.013
Fever, slow resolvers 3.2 (1.6–3.9)  < 0.001 3.3 (1.4–8.2) 0.005 3.4 (1.3–8.5) 0.007
Age > 65 (years)    3.4 (2.2–5.1)  < 0.001 3.4 (2.1–5.3)  < 0.001
Vasopressor use    3.1 (2.0–4.7)  < 0.001 3.0 (1.9–4.8)  < 0.001
Maximum creatinine level    1.01 (1.00–1.01)  < 0.001 1.01 (1.00–1.01) 0.010
Maximum WBC count    1.2 (1.1–1.3)  < 0.001 1.2 (1.2–1.3)  < 0.001
APACHE II score    1.2 (1.1–1.3)  < 0.001 1.3 (1.1–1.4)  < 0.001
  1. Three logistic models were used to evaluate the association between in-hospital death and four body temperature trajectory groups. Compared to the normothermic group, there was a trend toward increasing risk of in-hospital death from fever, fast resolvers to fever, and slow resolvers. Bootstrapping (1000 resamples) were used for calculating 95% CI in Model 3 and the results remained stable
  2. aOR adjusted odds ratio, APACHE II acute physiology and chronic health evaluation; CI confidence interval, WBC white blood cell