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Clinical Presentations of the Survivor and Non-survivor Hospitalized Patients with COVID-19 in the Golestan Province of Iran during the First Peak of the Epidemics
Tanaffos ; 21(2):146-153, 2022.
Article in English | EMBASE | ID: covidwho-2247815
ABSTRACT

Background:

Considering the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic, which causes coronavirus disease 2019 (COVID-19), we aimed to report the clinical features of 427 patients with COVID-19 and the outcomes after one-month admission to major teaching hospitals in the northeast of Iran. Material(s) and Method(s) Data of patients hospitalized with COVID-19 from 20 February 2020 to 20 April 2020 was analyzed using the R software. The cases and their outcomes were monitored up to one month following their admission. Result(s) Among 427 patients with a median age of 53 years (50.8% male), 81 (19%) were directly admitted to the ICU ward, and 68 (16%) died during the study. The mean (SD) lengths of hospital stay were significantly higher in the non-survivors (6 (9) days) than survivors (4 (5) days) (P = 0.018). Ventilation need was reported in 67.6% of the non-survivors and 0.8% of the survivors (P < 0.001). Cough (72.8%), fever (69.3%), and dyspnea (64.0%) were the most common symptoms. There were more comorbidities in the severe cases (73.5%) and non-survivor (77.5%). Liver and kidney damage were significantly more common in non-survivors. Ninety percent of the patients had at least one abnormal chest CT scan finding, including crazy paving and consolidation patterns (27.1%), followed by the ground-glass opacity (24.7%). Conclusion(s) Results showed that the patients' age, underlying comorbidities, levels of SpO2, and laboratory findings at the time of admission may predict the progress of the disease and can be considered mortality-related factors.Copyright © 2022 NRITLD, National Research Institute of Tuberculosis and Lung Disease, Iran.
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Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Tanaffos Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Tanaffos Year: 2022 Document Type: Article