Pulmonary Embolism Severity Index and Simplified Pulmonary Embolism Severity Index Risk Scores are Useful to Predict Mortality in Patients with COVID-19

Abstract

INTRODUCTION: The prognostic assessment tools such as pulmonary embolism severity ındex (PESI) and simplified PESI (sPESI) are used to predict the mortality in patients with acute pulmonary embolism. The aim of this study is to assess PESI and sPESI accuracy for the prediction of the prognostic outcomes in coronavirus disease (COVID). METHODS: This retrospective single-center was done as a cohort study. Data on hospital admission obtained from medical records were used to calculate PESI and sPESI. All the consecutive patients were assigned to low risk and high-risk groups using of PESI and sPESI. The primary outcome was hospital mortality. Accuracy of the models was assessed to predict mortality by calculating specificity, predictive values, and sensitivity of the patients at low to high risk. The area under receiver operating characteristic (ROC) was calculated to compare the discriminative power of the models. RESULTS: The PESI and sPESI had similar sensitivities (82.1% vs. 84.6%), negative predictive values (96.7% vs. 97%) for predicting mortality. The area under the ROC curve for predicting mortality was 0.82 (p<0.001) for PESI and 0.72 (p<0.001) for sPESI. PESI and sPESI had a similar discriminatory to predict hospital mortality. DISCUSSION AND CONCLUSION: Hospital mortality could be predicted, and risk stratification can be facilitated in COVID-19 patients based on PESI and sPESI Scores.

Keywords

• coronavirus
• coronavirus disease-2019
• pulmonary embolism severity index
• risk stratification.