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Turk J Med Sci ; 50(8): 1810-1816, 2020 12 17.
Artículo en Inglés | MEDLINE | ID: mdl-32599972

RESUMEN

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.


Asunto(s)
COVID-19 , Disnea , Hipertensión/epidemiología , Pulmón/diagnóstico por imagen , Neumonía Viral , Adulto , COVID-19/diagnóstico , COVID-19/epidemiología , COVID-19/fisiopatología , Causalidad , Comorbilidad , Disnea/diagnóstico , Disnea/etiología , Femenino , Humanos , Masculino , Neumonía Viral/diagnóstico , Neumonía Viral/etiología , Estudios Retrospectivos , SARS-CoV-2/metabolismo , Factores Sexuales , Tomografía Computarizada por Rayos X/métodos , Tomografía Computarizada por Rayos X/estadística & datos numéricos , Turquía/epidemiología
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