@article{article_1126067, title={The Relationship of Mitral Anular Calcification with Mortality and Myocardial Injury in COVID-19 Patients}, journal={Sakarya Tıp Dergisi}, volume={12}, pages={544–551}, year={2022}, DOI={10.31832/smj.1126067}, author={Özer, Savaş and Bulut, Eser and Aydın, Ercan and Haznedar Kırcı, Dilek Cahide and Özyıldız, Ali Gökhan and Peker, Mustafa and Turan, Oguzhan Ekrem}, keywords={Coronavirus, COVID-19 infection, mitral annular calcification, myocardial injury, computed tomography}, abstract={Objective: Coronavirus disease-2019 (COVID-19) can particularly affect the respiratory and cardiovascular systems and cause serious mortality. Mitral annular calcification (MAC) is a mitral valve pathology associated with cardiac mortality. We aimed to evaluate the effect of MAC on myocardial injury (MI) and mortality, which can develop secondary to COVID-19 infection. Materials and Methods: After applying the exclusion criteria, thorax computed tomography (CT) images of the remaining 1151 consecutive COVID-19 patients were evaluated. Calculation of MAC scores was done by two expert radiologists blinded to the study data. MI was defined as those with hs-TnI level (≥34 ng/dl). Patients included in the study were classified as having mortality and not occurring. Results: Male gender, advanced age (>65), hypertension, diabetes mellitus, chronic obstructive pulmonary disease, chronic kidney disease (CKD), coronary artery disease, heart failure and atrial fibrillation rates were statistically higher in the mortality group (p <0.05). The presence of MAC was 34.1% in the mortality group, while it was 16% in the survival group (p <0.001). MI was observed 49.3% in the mortality group, while it was 16.2% in the survival group (p <0.001). Presence of MAC was associated with MI (14.8% vs 38.7%, p <0.001). Age (OR=1.976, 95% CI 1.166-3.346, p=0.011), male gender (OR=1.784, 95% CI 1.101-2.892, p=0.019), CKD (OR=2.293, 95% CI 1.085-4.485, p=0.030), MI (OR=2.893, 95% CI 1.735-4.823, p <0.001) and advanced lung involvement on CT (OR=2.231, 95% CI 1.084-4.594, p=0.029) were the independent predictors of mortality. Conclusion: In terms of MI and mortality risk in COVID-19 patients, it may be recommended to evaluate MAC from the CT images.}, number={3}, publisher={Sakarya University}