TY - JOUR TI - The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey AB - Background/aim: Pneumonia is the most serious clinical presentation of COVID-19. This study aimed to determine the demographic, clinical, and laboratory findings that can properly predict COVID-19 pneumonia. Materials and methods: This study was conducted in the Gazi University hospital. All hospitalized patients with confirmed and suspected SARS-CoV-2 infection between 16 March 2020 and 30 April 2020 were analyzed retrospectively. COVID-19 patients were separated into two groups, pneumonia and nonpneumonia, and then compared to determine predicting factors for COVID-19 pneumonia. Variables that had a P-value of less than 0.20 and were not correlated with each other were included in the logistic regression model. Results: Of the 247 patients included in the study 58% were female, and the median age was 40. COVID-19 was confirmed in 70.9% of these patients. Among the confirmed COVID-19 cases, 21.4% had pneumonia. In the multivariate analysis male sex (P = 0.028), hypertension (P = 0.022), and shortness of breath on hospital admission (P = 0.025) were significant factors predicting COVID-19 pneumonia. Conclusion: Shortness of breath, male sex, and hypertension were significant for predicting COVID-19 pneumonia on admission. Patients with these factors should be evaluated more carefully for diagnostic procedures, such as thorax CT. AU - KELEŞ, AYFER AU - Kilicaslan, Isa AU - GAYGISIZ, ÜMMÜGÜLSÜM AU - Dizbay, Murat AU - GUZEL TUNCCAN, OZLEM AU - hizel, kenan AU - Ozger, H.Selcuk AU - DEMİRBAŞ, ZEHRA AU - AYSERT-YILDIZ, PINAR AU - AYDOĞDU, MÜGE AU - Kokturk, Nurdan AU - ULUKAVAK ÇIFTÇI, TANSU AU - UĞRAŞ DİKMEN, ASİYE AU - Turkoglu, Melda AU - Boyacı Dündar, Nazlıhan AU - Tutar, Hakan AU - ERBAS, GONCA AU - Kavutcu, Mustafa AU - Gülbahar, Özlem AU - Aygencel, Gulbin AU - Oguzulgen, I.Kivilcim AU - ASLANER, MEHMET ALİ AU - Kilic, Koray AU - TUFAN, ABDURRAHMAN AU - YILDIZ, MEHMET AU - Çağlar, Kayhan AU - Arhan, Mehmet AU - Bozdayi, Gulendam AU - Karamercan, Mehmet AU - Bildik, Fikret AU - Demircan, AHMET AU - karabiyik, lale AU - ŞENOL, ESİN AU - BOSTANCI, HASAN DO - 10.3906/sag-2005-385 PY - 2020 JO - Turkish Journal of Medical Sciences VL - 50 IS - 8 SN - 1300-0144 SP - 1810 EP - 1816 DB - TRDizin UR - http://search/yayin/detay/535653 ER -