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. Author manuscript; available in PMC: 2021 Aug 6.
Published in final edited form as: J Am Board Fam Med. 2021 Feb;34(Suppl):S127–S135. doi: 10.3122/jabfm.2021.S1.200464

Table 3.

Multivariate Models Using Limited Clinical Data to Predict Mortality in Hospitalized Patients With COVID-19

Model using no laboratory values (COVID-NoLab)
Predictors β-Coefficient Std. Error Z Value Pr (>|z|)
Constant −4.010 0.465 −8.620 0.001
Age
 50 to 65 years 1.631 0.498 3.270 0.001
 > 65 years 2.602 0.478 5.450 < 0.001
Respiratory rate ≥ 30/min 1.352 0.293 4.620 < 0.001
Oxygen saturation < 93 % 1.036 0.288 3.600 < 0.001
AUROCC = 0.771 in the derivation group and 0.803 in the validation group.
Model adding simple blood tests (COVID-SimpleLab)
Predictors β-Coefficient Std. Error Z Value Pr (>|z|)
Constant −4.899 0.669 −7.330 0.000
C-reactive protein
 11–20 mg/dL 1.316 0.329 4.010 0.000
 > 20 mg/dL 1.057 0.510 2.080 0.038
Respiratory rate ≥ 30/min 1.522 0.403 3.770 0.000
Oxygen saturation < 93 % 0.911 0.418 2.180 0.029
Age
 50 to 65 years 1.310 0.661 1.980 0.047
 > 65 years 2.233 0.640 3.490 0.000
Asthma 0.953 0.428 2.230 0.026
White blood cell count > 10 × 109/mL 0.579 0.348 1.660 0.097
Serum creatinine > 2.0 mg/dL 1.152 0.348 3.310 0.001
AUROCC = 0.835 in the derivation group and 0.833 in the validation group.

AUROCC, area under the receiver operating characteristic curve.