Author: HONARVAR, MOHAMMAD REZA; ROSHANDEL, GHOLAMREZA; SHIRZAD-ASKI, HESAMADDIN; TABARRAEI, ALIJAN; TAHAMTAN, ALIREZA; GHELICHI-GHOJOGH, MOUSA; FAZEL, ABDOLREZA; AREFNIA, SERAJEDDIN; JAFARI, NAHID; MANSOURY, MOHSEN; JAFARI, ALIREZA; RAJABI, ABDOLHALIM
Title: Epidemiological and clinical characteristics of the COVID-19 epidemic and associated factors for mortality in Golestan province, Iran: a retrospective cohort study Cord-id: pbj7rohl Document date: 2021_7_30
ID: pbj7rohl
Snippet: BACKGROUND: We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia and risk factors associated for mortality. METHODS: In this study, we included inpatient with acute respiratory distress syndrome at Golestan Hospitals who had been discharged or had died in 2020. Epidemiological, and clinical data were extracted from electronic medical records and compared between recovered and died cases. We used multiple logistic regression methods to explore the ri
Document: BACKGROUND: We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia and risk factors associated for mortality. METHODS: In this study, we included inpatient with acute respiratory distress syndrome at Golestan Hospitals who had been discharged or had died in 2020. Epidemiological, and clinical data were extracted from electronic medical records and compared between recovered and died cases. We used multiple logistic regression methods to explore the risk factors associated with in-hospital death. RESULTS: Overall 2,835 acute respiratory distress syndrome patients were included in this study, and 874 (30.83%) were positive for 2019-nCoV. Five hundred and sixty-three patients (19.86%) died, 1,687 patients (59.51%) were recovered. Of the total deaths, only 288 (10.15%) were attributed to COVID-19. The most common symptoms at onset of illness were respiratory distress [1,795 (63.32%)], fever [1,601 (56.47%)], dry cough [1,595 (56.26%)], sore throat [445 (15.70%)], and myalgia [342 (12.06%)]. One thousand and twelve (35.7%) had 1 or more coexisting medical conditions. In multiple logistic regression analysis, risk factors associated with the death included older age [OR (Odds Ratio) = 1.03; 95% CI; 1.02-1.04], blood oxygen level (SPO(2) < 93%) (OR = 2.44; 95% CI; 1.79-3.31), comorbidities (OR = 2.15; 95% CI; 1.62-2.84), respiratory distress (OR = 1.74; 95% CI; 1.28-2.37), and headache (OR = 0.44 95% CI; 0.21-0.92). CONCLUSIONS: The 2019-nCoV infection caused collections of severe respiratory illness and was associated to a high ratio of hospitalization in ICU and high mortality. Older age and comorbidities were associated with more risk of death among patients with 2019-nCoV.
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