Correlation of cardiac biomarkers with computed tomography severity score in COVID-19 patients

Abstract

Funding AcknowledgementsType of funding sources: None.INTRODUCTIONA vast number of COVID-19 cases have been reported worldwide since the initial outbreak in China, and the disease has since become a global pandemic. Knowledge on this predominantly respiratory illness is evolving with studies suggesting myocardial injury reflected by elevated cardiac enzymes portending to more severe disease. CT scoring indices provide visual, semi-quantitative assessment of lung involvement and have aided in determining extent of COVID-19 pneumonia but, none have been validated for prognostication. PURPOSEEstablishing a relationship between these non-invasive diagnostic parameters could provide timely identification and proper allocation of limited medical resources to patients in need of more aggressive therapy. METHODS and RESULTSA total of 50 COVID-19 patients were retrospectively enrolled and their clinical parameters collected from an electronic medical database. There was a total of 31 patients with troponin I-HS with chest CT scan done and another 42 patients for NT-proBNP and chest CT. The levels of both cardiac biomarkers in patients with clinically severe COVID pneumonia were higher than those with mild and moderate disease. Rank-order analysis showed that both troponin I-HS (moderate, p = 0.0003174) and NT-proBNP (moderate, p = 0.006255) correlated positively with CT severity scores. Furthermore, there is a significant relationship between mortality and septic shock with both Troponin I-HS (p < 0.001; p = 0.002) and NT-proBNP (p = 0.004; p = 0.031). CONCLUSIONThe cardiac markers troponin I-HS and NT-proBNP increased significantly at more severe CT scores and more notably, these biomarkers predicted the development of septic shock and mortality in COVID-19 pneumonia.