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The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey
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 hospita...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Scientific and Technological Research Council of Turkey
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775687/ https://www.ncbi.nlm.nih.gov/pubmed/32599972 http://dx.doi.org/10.3906/sag-2005-385 |
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author | ÖZGER, Selçuk H AYSERT YILDIZ, Pınar GAYGISIZ, Ümmügülsüm UĞRAŞ DİKMEN, Asiye DEMİRBAŞ, Zehra YILDIZ, Mehmet ŞENOL, Esin HIZEL, Kenan GÜZEL TUNÇCAN, Özlem ÇAĞLAR, Kayhan BOZDAYI, Gülendam KÖKTÜRK, Nurdan ULUKAVAK ÇİFTÇİ, Tansu AYGENCEL BIKMAZ, Gülbin Ş TÜRKOĞLU, Melda AYDOĞDU, Müge KARABIYIK, Lale TUFAN, Abdurrahman ERBAŞ, Gonca KILIÇ, Hüseyin Koray KELEŞ, Ayfer BİLDİK, Fikret KILIÇARSLAN, İsa KARAMERCAN, Mehmet Akif ASLANER, Mehmet Ali DEMİRCAN, Ahmet KAVUTÇU, Mustafa GÜLBAHAR, Özlem ARHAN, Mehmet BOSTANCI, Hasan TUTAR, Hakan BOYACI DÜNDAR, Nazlıhan OĞUZÜLGEN, İpek Kıvılcım DİZBAY, Murat |
author_facet | ÖZGER, Selçuk H AYSERT YILDIZ, Pınar GAYGISIZ, Ümmügülsüm UĞRAŞ DİKMEN, Asiye DEMİRBAŞ, Zehra YILDIZ, Mehmet ŞENOL, Esin HIZEL, Kenan GÜZEL TUNÇCAN, Özlem ÇAĞLAR, Kayhan BOZDAYI, Gülendam KÖKTÜRK, Nurdan ULUKAVAK ÇİFTÇİ, Tansu AYGENCEL BIKMAZ, Gülbin Ş TÜRKOĞLU, Melda AYDOĞDU, Müge KARABIYIK, Lale TUFAN, Abdurrahman ERBAŞ, Gonca KILIÇ, Hüseyin Koray KELEŞ, Ayfer BİLDİK, Fikret KILIÇARSLAN, İsa KARAMERCAN, Mehmet Akif ASLANER, Mehmet Ali DEMİRCAN, Ahmet KAVUTÇU, Mustafa GÜLBAHAR, Özlem ARHAN, Mehmet BOSTANCI, Hasan TUTAR, Hakan BOYACI DÜNDAR, Nazlıhan OĞUZÜLGEN, İpek Kıvılcım DİZBAY, Murat |
author_sort | ÖZGER, Selçuk H |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7775687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Scientific and Technological Research Council of Turkey |
record_format | MEDLINE/PubMed |
spelling | pubmed-77756872021-01-05 The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey ÖZGER, Selçuk H AYSERT YILDIZ, Pınar GAYGISIZ, Ümmügülsüm UĞRAŞ DİKMEN, Asiye DEMİRBAŞ, Zehra YILDIZ, Mehmet ŞENOL, Esin HIZEL, Kenan GÜZEL TUNÇCAN, Özlem ÇAĞLAR, Kayhan BOZDAYI, Gülendam KÖKTÜRK, Nurdan ULUKAVAK ÇİFTÇİ, Tansu AYGENCEL BIKMAZ, Gülbin Ş TÜRKOĞLU, Melda AYDOĞDU, Müge KARABIYIK, Lale TUFAN, Abdurrahman ERBAŞ, Gonca KILIÇ, Hüseyin Koray KELEŞ, Ayfer BİLDİK, Fikret KILIÇARSLAN, İsa KARAMERCAN, Mehmet Akif ASLANER, Mehmet Ali DEMİRCAN, Ahmet KAVUTÇU, Mustafa GÜLBAHAR, Özlem ARHAN, Mehmet BOSTANCI, Hasan TUTAR, Hakan BOYACI DÜNDAR, Nazlıhan OĞUZÜLGEN, İpek Kıvılcım DİZBAY, Murat Turk J Med Sci Article 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. The Scientific and Technological Research Council of Turkey 2020-12-17 /pmc/articles/PMC7775687/ /pubmed/32599972 http://dx.doi.org/10.3906/sag-2005-385 Text en Copyright © 2020 The Author(s) This article is distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Article ÖZGER, Selçuk H AYSERT YILDIZ, Pınar GAYGISIZ, Ümmügülsüm UĞRAŞ DİKMEN, Asiye DEMİRBAŞ, Zehra YILDIZ, Mehmet ŞENOL, Esin HIZEL, Kenan GÜZEL TUNÇCAN, Özlem ÇAĞLAR, Kayhan BOZDAYI, Gülendam KÖKTÜRK, Nurdan ULUKAVAK ÇİFTÇİ, Tansu AYGENCEL BIKMAZ, Gülbin Ş TÜRKOĞLU, Melda AYDOĞDU, Müge KARABIYIK, Lale TUFAN, Abdurrahman ERBAŞ, Gonca KILIÇ, Hüseyin Koray KELEŞ, Ayfer BİLDİK, Fikret KILIÇARSLAN, İsa KARAMERCAN, Mehmet Akif ASLANER, Mehmet Ali DEMİRCAN, Ahmet KAVUTÇU, Mustafa GÜLBAHAR, Özlem ARHAN, Mehmet BOSTANCI, Hasan TUTAR, Hakan BOYACI DÜNDAR, Nazlıhan OĞUZÜLGEN, İpek Kıvılcım DİZBAY, Murat The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey |
title | The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey |
title_full | The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey |
title_fullStr | The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey |
title_full_unstemmed | The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey |
title_short | The factors predicting pneumonia in COVID-19 patients: preliminary results from a university hospital in Turkey |
title_sort | factors predicting pneumonia in covid-19 patients: preliminary results from a university hospital in turkey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775687/ https://www.ncbi.nlm.nih.gov/pubmed/32599972 http://dx.doi.org/10.3906/sag-2005-385 |
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