Table 4.
Associations of increased myocardial marker levels above cut-offs with in-hospital mortality of COVID-19.
| Crude | Model 1 | Model 2 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| HR (95% CI) | P-value | HR (95% CI) | P-value | HR (95% CI) | P-value | ||||
| Early-stage levels | Hs-TnI | ||||||||
| ≤ cut-off | Ref | Ref | Ref | ||||||
| >cut-off | 7.85 (4.46-13.81) | <0.001 | 5.34 (2.89-9.88) | <0.001 | 2.31 (1.20-4.48) | 0.013 | |||
| CK-MB | |||||||||
| ≤ cut-off | Ref | Ref | Ref | ||||||
| >cut-off | 5.98 (3.60-9.92) | <0.001 | 3.73 (2.18-6.37) | <0.001 | 1.82 (1.01-3.31) | 0.048 | |||
| MYO | |||||||||
| ≤ cut-off | Ref | Ref | Ref | ||||||
| >cut-off | 23.88 (12.18-46.82) | <0.001 | 19.36 (9.65-38.84) | <0.001 | 8.31 (3.94-17.52) | <0.001 | |||
| Late-stage levels | Hs-TnI | ||||||||
| ≤ cut-off | Ref | Ref | Ref | ||||||
| >cut-off | 67.15 (32.05-140.68) | <0.001 | 63.54 (28.93-139.57) | <0.001 | 18.19 (7.87-42.05) | <0.001 | |||
| CK-MB | |||||||||
| ≤ cut-off | Ref | Ref | Ref | ||||||
| >cut-off | 40.99 (21.91-76.69) | <0.001 | 31.46 (16.53-59.87) | <0.001 | 8.22 (3.81-17.71) | <0.001 | |||
| MYO | |||||||||
| ≤ cut-off | Ref | Ref | Ref | ||||||
| >cut-off | 116.72 (53.14-256.36) | <0.001 | 108.64 (47.23-249.88) | <0.001 | 34.41 (14.15-83.68) | <0.001 | |||
The variables were categorized into two groups according to the cut-off of each biomarker. The biomarkers were included as dichotomous variables in the univariable COX regression analysis.
Model 1: Adjusted for age, sex, and co-existing diseases (hypertension, diabetes, coronary heart disease, chronic obstructive pulmonary disease, chronic liver disease, stroke history, chronic kidney disease, and cancer history).
Model 2: Model 1 plus variables related to disease severity (neutrophil count, D-Dimer, and high sensitivity C-reactive protein).
HR, hazard ratio; CI, confidence interval; Hs-TnI, high sensitivity troponin-I; CK-MB, creatine kinase-MB; MYO, myoglobin.