Table 3. Cardiac Troponin-I Level as a Predictor of Mortality in Patients with COVID-19.
| Statistic | Value | 95% confidence interval |
|---|---|---|
| Sensitivity | 66% | 52.1% - 78.1% |
| Specificity | 83% | 77.0% - 87.9% |
| Positive likelihood ratio | 3.89 | 2.71 - 5.57 |
| Negative likelihood ratio | 0.41 | 0.28 - 0.59 |
| Disease (mortality) prevalence | 21.7% (mortality)* | |
| Positive predictive value | 51.9% | 43% - 60.7% |
| Negative predictive value | 89.7% | 85.8% - 92.7% |
| Accuracy | 79.3% | 73.8% - 84.1% |
*The prevalence of all-cause in-hospital mortality for the study population. Sensitivity, specificity, disease (mortality) prevalence, positive and negative predictive value as well as accuracy are expressed as percentages. Confidence intervals for sensitivity, specificity and accuracy are “exact” Clopper-Pearson confidence intervals. Confidence intervals for the likelihood ratios are calculated using the “Log method” as given on page 109 of Altman et al 2000 [7]. Confidence intervals for the predictive values are the standard logit confidence intervals given by Mercaldo et al 2007 [8]. COVID-19: coronavirus disease 2019.