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Evaluation of abdominal computed tomography findings in patients with COVID-19: a multicenter study

PURPOSE: To evaluate the frequency of abdominal computed tomography (CT) findings in patients with coronavirus disease-2019 (COVID-19) and interrogate the relationship between abdominal CT findings and patient demographic features, clinical findings, and laboratory test results as well as the CT ath...

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Autores principales: Onur, Mehmet Ruhi, Özbay, Yakup, İdilman, İlkay, Karaosmanoğlu, Ali Devrim, Uysal Ramadan, Selma, Barlık, Funda, Aydın, Sonay, Odaman, Hüseyin, Altay, Canan, Başara Akın, Işıl, Dicle, Oğuz, Appak, Özgür, Gülpınar, Başak, Erden, Ayşe, Kula, Sezer, Gürsöy Çoruh, Ayşegül, Kuru Öz, Diğdem, Kul, Melahat, Uzun, Çağlar, Karavaş, Erdal, Levent, Akın, Artaş, Hakan, Eryeşil, Hasan, Solmaz, Onur, Öztürk Kaygusuz, Türkkan, Faraşat, Mustafa, Kale, Ahmet Burak, Düzgün, Fatih, Pekindil, Gökhan, Apaydın, F. Demir, Nass Duce, Meltem, Balcı, Yüksel, Esen, Kaan, Sağır Kahraman, Ayşegül, Karaca, Leyla, Maraş Özdemir, Zeynep, Kahraman, Bayram, Tosun, Mesude, Nural, Mehmet Selim, Çamlıdağ, İlkay, Onar, Mustafa Arda, Ballı, Kaan, Güler, Ezgi, Harman, Mustafa, Elmas, Nevra Zehra, Öztürk, Cansu, Güngör, Özlem, Herek, Duygu, Yağcı, Ahmet Baki, Erol, Cengiz, Şeker, Mehmet, İşlek, İrem, Can, Yusuf, Aslan, Serdar, Karadeniz Bilgili, M. Yasemin, Göncüoğlu, Alper, Keleş, Hatice, Bekin Sarıkaya, Pelin Zeynep, Bakır, Barış, Dağoğlu Kartal, Merve Gülbiz, Durak, Görkem, Yücel Oğuzdoğan, Gülşen, Alper, Fatih, Yalçın, Ahmet, Gürel, Safiye, Alan, Bircan, Gündoğdu, Elif, Aydın, Nevin, Cansu, Ayşegül, Civan Kuş, Ceyda, Ofluoğlu Tuncer, Elif, Pişkin, Ferhat Can, Çolakoğlu Er, Hale, Değirmenci, Bumin, Özmen, Mustafa Nasuh, Kantarcı, Mecit, Karçaaltıncaba, Muşturay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10679620/
https://www.ncbi.nlm.nih.gov/pubmed/36960669
http://dx.doi.org/10.4274/dir.2022.221575
Descripción
Sumario:PURPOSE: To evaluate the frequency of abdominal computed tomography (CT) findings in patients with coronavirus disease-2019 (COVID-19) and interrogate the relationship between abdominal CT findings and patient demographic features, clinical findings, and laboratory test results as well as the CT atherosclerosis score in the abdominal aorta. METHODS: This study was designed as a multicenter retrospective study. The abdominal CT findings of 1.181 patients with positive abdominal symptoms from 26 tertiary medical centers with a positive polymerase chain-reaction test for severe acute respiratory syndrome coronavirus 2 were reviewed. The frequency of ischemic and non-ischemic CT findings as well as the association between CT findings, clinical features, and abdominal aortic calcific atherosclerosis score (AA-CAS) were recorded. RESULTS: Ischemic and non-ischemic abdominal CT findings were detected in 240 (20.3%) and 328 (27.7%) patients, respectively. In 147 patients (12.4%), intra-abdominal malignancy was present. The most frequent ischemic abdominal CT findings were bowel wall thickening (n = 120; 10.2%) and perivascular infiltration (n = 40; 3.4%). As for non-ischemic findings, colitis (n = 91; 7.7%) and small bowel inflammation (n = 73; 6.2%) constituted the most frequent disease processes. The duration of hospital stay was found to be higher in patients with abdominal CT findings than in patients without any positive findings (13.8 ± 13 vs. 10.4 ± 12.8 days, P < 0.001). The frequency of abdominal CT findings was significantly higher in patients who did not survive the infection than in patients who were discharged after recovery (41.7% vs. 27.4%, P < 0.001). Increased AA-CAS was found to be associated with a higher risk of ischemic conditions in abdominal CT examinations. CONCLUSION: Abdominal symptoms in patients with COVID-19 are usually associated with positive CT findings. The presence of ischemic findings on CT correlates with poor COVID-19 outcomes. A high AA-CAS is associated with abdominal ischemic findings in patients with COVID-19.