The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey | Zendy

Hasan Selçuk Özger | Zendy; Pınar Aysert Yıldız | Zendy; Ümmügülsüm Gaygısız | Zendy; Asiye Uğraş Dikmen | Zendy; Zehra Demirbas | Zendy; Mehmet Yıldız | Zendy; Esin Şenol | Zendy; Kenan Hızel | Zendy; Özlem Güzel Tunçcan | Zendy; Kayhan Çağlar | Zendy; Gülendam Bozdayı | Zendy; Nurdan Köktürk | Zendy; Tansu Ulukavak Çiftçi | Zendy; Gülbin Aygencel | Zendy; Melda Türkoğlu | Zendy; Müge Aydoğdu | Zendy; Lale Karabıyık | Zendy; Abdurrahman Tufan | Zendy; Gonca Erbaş | Zendy; Koray Kılıç | Zendy; Ayfer Keleş | Zendy; Fikret Bildik | Zendy; İsa KILIÇARSLAN | Zendy; Mehmet Akif Karamercan | Zendy; Mehmet Ali Aslaner | Zendy; Ahmet Demircan | Zendy; Mustafa Kavutçu | Zendy; Özlem Gülbahar | Zendy; Mehmet Arhan | Zendy; Hasan Bostancı | Zendy; Hakan Tutar | Zendy; Nazlıhan Boyacı Dündar | Zendy; İpek Kıvılcım Oğuzülgen | Zendy; Murat Dizbay | Zendy

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The 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,

Mehmet Yıldız,

Esin Şenol,

Kenan Hızel,

Özlem Güzel Tunçcan,

Kayhan Çağlar,

Gülendam Bozdayı,

Nurdan Köktürk,

Tansu Ulukavak Çiftçi,

Gülbin Aygencel,

Melda Türkoğlu,

Müge Aydoğdu,

Lale Karabıyık,

Abdurrahman Tufan,

Gonca Erbaş,

Koray Kılıç,

Ayfer Keleş,

Fikret Bildik,

İsa KILIÇARSLAN,

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 , university hospital , multivariate analysis , 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.

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