{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T14:25:28Z","timestamp":1778509528490,"version":"3.51.4"},"reference-count":0,"publisher":"African Journals Online (AJOL)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Afr H. Sci."],"abstract":"<jats:p>Background: The diverse and complex presentations of COVID-19 continue to impact the world. Factors related to prognosis and mortality are still not fully illuminated.\r\nObjectives: We aimed to asses the relationship of N-terminal pro B-type natriuretic peptide (NT-proBNP) and main pulmonary artery diameter (MPAD) with COVID-19 prognosis and mortality.\r\nMethods: 152 COVID-19 patients over the age of 18, were included in the study. Thoracic CT, NT-proBNP values, laboratory and demographic data of these patients were obtained by retrospectively examining the patient files and scanning the results through the patient registry.\r\nResults: According to multivariate logistic regression (LR) analysis, high NT-proBNP level (OR=3.542; 95% CI=1.745-9.463; p=0.021) and MPAD\/ascending aortic diameter (AAD) ratio&gt;0.75 (OR=2.692; 95% CI=1.264-9.312; p=0.036) were determined as independent risk factors predicting mortality in COVID-19 patients. A significant positive correlation was observed between NT-proBNP level and MPA diameter (r=0.296, p&lt;0.001). The cut-off value was measured as 27.5 mm for MPA diameter and 742 pg\/ml for NT-proBNP.\r\nConclusions: Accurate and effective interpretation of available radiological and laboratory data is essential to reveal the factors predicting prognosis and mortality in COVID-19. In this study,we evaluated that the thorax CTs and determined that the MPAD\/AAD and NT-proBNP level were independent risk factors in predicting mortality.\r\nKeywords: COVID-19; Pulmonary artery diameter; MPAD\/AAD ratio; NT-proBNP.<\/jats:p>","DOI":"10.4314\/ahs.v23i2.64","type":"journal-article","created":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T14:38:34Z","timestamp":1697121514000},"page":"553-64","source":"Crossref","is-referenced-by-count":2,"title":["Pulmonary artery diameter and NT-proBNP in patients with Covid-19: Predicting prognosis and mortality"],"prefix":"10.4314","volume":"23","author":[{"given":"Mercan","family":"Tastemur","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Esin","family":"Olcucuo\u011flu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gunes","family":"Arik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ihsan","family":"Ates","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kamile","family":"Silay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2895","published-online":{"date-parts":[[2023,7,13]]},"container-title":["African Health Sciences"],"original-title":[],"link":[{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/download\/250760\/237069","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/download\/250760\/237069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,12]],"date-time":"2023-10-12T14:39:28Z","timestamp":1697121568000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ajol.info\/index.php\/ahs\/article\/view\/250760"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,13]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,7,13]]}},"URL":"https:\/\/doi.org\/10.4314\/ahs.v23i2.64","relation":{},"ISSN":["1729-0503","1680-6905"],"issn-type":[{"value":"1729-0503","type":"electronic"},{"value":"1680-6905","type":"print"}],"subject":[],"published":{"date-parts":[[2023,7,13]]}}}