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. 2021 Jan 31;11(1):e042989. doi: 10.1136/bmjopen-2020-042989

Table 4.

Univariable and multivariable logistic regression analysis for 30-day mortality

Predictors Univariable analysis Multivariable analysis*
OR (95% CI) P value OR (95% CI) P value
Lactate >1.5 mmol/L 4.29 (2.18 to 8.44) <0.001 2.98 (1.46 to 6.09) 0.003
hs-cTnT—per log ng/L increase 2.36 (1.70 to 3.27) <0.001 1.53 (1.01 to 2.32) 0.002
NT-proBNP—per log ng/L increase 1.78 (1.45 to 2.18) <0.001 1.49 (1.15 to 1.92) 0.002
D-dimer >3000 µg/L 2.91 (1.61 to 5.28) <0.001 2.77 (1.44 to 5.33) 0.045
PCT—per log ng/mL increase 1.34 (1.15 to 1.56) <0.001
AUC (95% CI)
0.82 (0.76 to 0.87)

Analysis in this table was made using imputed data.

*Model of biomarkers selected through backwards stepwise elimination using multivariable logistic regression analysis.

AUC, area under the curve; hs-cTnT, high-senstivity cardiac troponin T; log, logarithm; NT-proBNP, N-terminal pro-B-type natriuretic peptide; PCT, procalcitonin.