Open AccessThe factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey
Author(s) -
Hasan Selçuk Özger,
Pınar Aysert Yıldız,
Ümmügülsüm Gaygısız,
Asiye Uğraş Dikmen,
Zehra Demirbas Gulmez,
M. Yi̇ldi̇z,
Esin Şenol,
Kenan Hızel,
Özlem Güzel Tunçcan,
Kayhan Çağlar,
Gülendam Bozdayı,
Nurdan Köktürk,
Tansu Ulukavak Çiftçi,
Sahender GÜlbIn Aygencel Bikmaz,
Melda Türkoğlu,
Müge Aydoğdu,
Lale Karabıyık,
Abdurrahman Tufan,
Gonca Erbaş,
Hüseyin 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,
Murat Dizbay
Publication year - 2020
Publication title -
turkish journal of medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 27
eISSN - 1303-6165
pISSN - 1300-0144
DOI - 10.3906/sag-2005-385
Subject(s) - medicine , pneumonia , covid-19 , logistic regression , multivariate analysis , university hospital , pathology , disease , outbreak , infectious disease (medical specialty)
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.