• Hasan Selçuk Özger, Pınar Aysert Yıldız, Ümmügülsüm Gaygısız, Asİye Uğraş Dikmen, Zehra Demirbaş Gülmez, Mehmet Yıldız, Esin Şenol, Kenan Hizel, Özlem Güzel Tunçcan, Kayhan Çağlar, Gülendam Bozdayı, Nurdan Köktürk, Tansu Ulukavak Çiftçi, Şahender Gülbin Aygencel Bıkmaz, Melda Türkoğlu, Müge Aydoğdu, Lale Karabıyık, Abdurrahman Tufan, Gonca Erbaş, Hüseyin Koray Kılıç, Ayfer Keleş, Fikret Bildik, İsa Kılıçaslan, Mehmet Akif Karamercan, Mehmet Ali Aslaner, Ahmet Demircan, Mustafa Kavutçu, Özlem Gülbahar, Mehmet Arhan, Hasan Bostancı, Hakan Tutar, Nazlıhan Boyacı Dündar, İpek Kıvılcım Oğuzülgen, and Murat Dizbay.
• Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Gazi University, Ankara, Turkey
• Turk J Med Sci. 2020 Dec 17; 50 (8): 1810-1816.

Background/AimPneumonia 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 MethodsThis 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.ResultsOf 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.ConclusionShortness 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.This work is licensed under a Creative Commons Attribution 4.0 International License.

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