ABSTRACT
Introduction: Acute Myocardial injury defined by increased troponin I level is associated with poor in-hospital outcomes and cardiovascular complications in patients with COVID-19. The current study was designed to determine the implications and clinical outcome of myocardial injury in COVID-19. Methods: This retrospective study included hospitalized COVID-19 patients. Myocardial injury was defined by high sensitivity Troponin I (hs-TNI)≥26ng/l. Cardiac biomarkers, inflammatory markers and clinical data were systemically collected and analyzed. Hazard ratio for in-hospital mortality and logistic regression for predictors of acute myocardial injury were analyzed. Results: Of the 1821 total patients with COVID-19, 293(16.09%) patients died and 1528 (83.91%) patients survived. Patients who died had significantly higher association with presence of cardiovascular risk factors, severe CTSS ( CT severity score ) and myocardial injury as compared to survived group. 628 (34.5%) patients had evidence of myocardial injury and they had statistically significant association with cardiovascular risk factors, in-hospital mortality, procalcitonin; higher hospital, and ICCU stay. We found significant hazard ratio of diabetes (HR=2.66, (CI:1.65-4.29)), Severe CT score (HR=2.81, (CI:1.74-4.52)), hs-TNI≥26 ng/l (HR=4.68, (CI:3.81-5.76)) for mortality. Severe CTSS score (OR=1.95, CI: 1.18-3.23, P=0.01) and prior CVD history (OR=1.65, CI:1.00-2.73, P=0.05) were found significant predictors of myocardial injury in regression analysis. Conclusion: Almost one third of hospitalized patients had evidence of acute myocardial injury during hospitalization. Acute myocardial injury is associated with higher hospital and ICCU stay, mortality, higher in-hospital infection which indicates more severe disease and the poor in-hospital outcomes.
ABSTRACT
Introduction: Despite having clinical relevance, arterial stiffness is neglected and not routinely used parameter for evaluation of atherosclerosis. This study aimed to investigate the predictive role of simple non-invasive echocardiographic index of aortic stiffness aortic velocity propagation (AVP), Framingham risk score (FHS) and QRISK3 score for presence and severity of CAD. Methods: This cross-sectional comparative study included 250 patients who required conventional coronary angiogram for stable CAD. The relationship of AVP, FHS and QRISK3 score with CAD were evaluated using spearman's correlation, logistic regression analysis and ROC curve. Results: On logistic regression analysis, AVP, FHS and QRISK3 were found significant predictors for the presence and severity of CAD. Inverse correlation between AVP and presence of CAD, number of coronary vessels involved and severity of CAD was observed with P=0.001. AVP value≤78 cm/s predicted presence of CAD with 86.4% sensitivity and 84.6% specificity (P≤0.0001, AUC=0.948) and≤39 cm/s predicted severe CAD (Syntax score>22) with 66.7% sensitivity and 97.9% specificity (P≤0.0001, AUC=0.868). FHS value>10 predicted the presence of CAD with a sensitivity of 33.9% and specificity of 91 % (P=0.01, AUC=0.644). QRISK3value>13.4 predicted presence of CAD with 57.1% sensitivity and 87% specificity (P≤0.0001, AUC=0.788). Conclusion: Arterial stiffness parameter AVP is inversely associated with the presence and severity of CAD. AVP and QRISK3 score may be used as a simple bedside tool for risk stratification of patients suspected of having atherosclerotic CAD.
