Table 1.
Baseline characteristics of hospitalised patients categorised into ‘survivors’ and ‘non-survivors’.
Fig 1.
Kaplan-Meier analysis of the parameters significantly attributing to risk of mortality in the univariate analysis.
Kaplan-Meier mean survival estimates for the time to mortality censored at 40 days. The numbers given above reflect the number of individuals who were alive at that particular time point in days, with or without the risk factors evaluated. Significance was computed using the log-rank test. Definition of Abbreviations: SaO2-Peripheral Oxygen Saturation, NLR-Neutrophil-to-Lymphocyte Ratio, BPM-Beats per minute.
Table 2.
Multivariable logistic regression showing the adjusted odds ratio of predictors influencing mortality, among COVID-19 infected patients admitted to hospital.
Fig 2.
Illustrated depiction of ROC curves of important parameters used in score formulation along with biomarkers.
The relative positions in the ROC curve also provide the precision of parameters, compared to biomarkers, in predicting mortality. Definition of Abbreviations: ROC Curve—Receiver Operating Characteristic Curve, CRP- C-Reactive Protein, SaO2—Peripheral Oxygen Saturation, NLR—Neutrophil-to-Lymphocyte Ratio.
Table 3.
A concise comparison of risk scores used for triaging COVID-19 patients and their potential utilisation in clinical practice and public health.