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Demographics, comorbidities and outcomes in hospitalized Covid-19 patients in rural southwest Georgia #MMPMID32620056
Shah P; Owens J; Franklin J; Mehta A; Heymann W; Sewell W; Hill J; Barfield K; Doshi R
Ann Med 2020[Nov]; 52 (7): 354-360 PMID32620056show ga
BACKGROUND: There is limited data on outcomes in patients with coronavirus disease 2019 (Covid-19) in rural United States (US). This study aimed to describe the demographics, and outcomes of hospitalized Covid-19 patients in rural Southwest Georgia. METHODS: Using electronic medical records, we analyzed data from all hospitalized Covid-19 patients who either died or survived to discharge between 2 March 2020 and 6 May 2020. RESULTS: Of the 522 patients, 92 died in hospital (17.6%). Median age was 63 years, 58% were females, and 87% African-Americans. Hypertension (79.7%), obesity (66.5%) and diabetes mellitus (42.3%) were the most common comorbidities. Males had higher overall mortality compared to females (23 v 13.8%). Immunosuppression [odds ratio (OR) 3.6; (confidence interval (CI): 1.52-8.47, p=.003)], hypertension (OR 3.36; CI:1.3-8.6, p=.01), age >/=65 years (OR 3.1; CI:1.7-5.6, p<.001) and morbid obesity (OR 2.29; CI:1.11-4.69, p=.02), were independent predictors of in-hospital mortality. Female gender was an independent predictor of decreased in-hospital mortality. Mortality in intubated patients was 67%. Mortality was 8.9% in <50 years, compared to 20% in >/=50 years. CONCLUSIONS: Immunosuppression, hypertension, age >/= 65 years and morbid obesity were independent predictors of mortality, whereas female gender was protective for mortality in hospitalized Covid-19 patients in rural Southwest Georgia. KEY MESSAGES Patients hospitalized with Covid-19 in rural US have higher comorbidity burden. Immunosuppression, hypertension, age >/= 65 years and morbid obesity are independent predictors of increased mortality. Female gender is an independent predictor of reduced mortality.
|*Hospital Mortality[MESH]
|Adolescent[MESH]
|Adult[MESH]
|Age Factors[MESH]
|Aged[MESH]
|Black or African American/statistics & numerical data[MESH]
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Ann+Med 2020 ; 52 (7): 354-360
