Table 3.

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

Model using no laboratory values (COVID-NoLab)
Predictorsß-CoefficientStd. ErrorZ ValuePr(>|z|)
Constant−4.0100.465−8.6200.001
Age
 50 to 65 years1.6310.4983.2700.001
 > 65 years2.6020.4785.450< 0.001
Respiratory rate ≥ 30/min1.3520.2934.620< 0.001
Oxygen saturation < 93%1.0360.2883.600< 0.001
AUROCC = 0.771 in the derivation group and 0.803 in the validation group.
Model adding simple blood tests (COVID-SimpleLab)
Predictorsß-CoefficientStd. ErrorZ ValuePr(>|z|)
Constant−4.8990.669−7.3300.000
C-reactive protein
 11–20 mg/dL1.3160.3294.0100.000
 > 20 mg/dL1.0570.5102.0800.038
Respiratory rate ≥ 30/min1.5220.4033.7700.000
Oxygen saturation < 93%0.9110.4182.1800.029
Age
 50 to 65 years1.3100.6611.9800.047
 > 65 years2.2330.6403.4900.000
Asthma0.9530.4282.2300.026
White blood cell count > 10 × 109/mL0.5790.3481.6600.097
Serum creatinine > 2.0 mg/dL1.1520.3483.3100.001
AUROCC = 0.835 in the derivation group and 0.833 in the validation group.
  • AUROCC, area under the receiver operating characteristic curve.