Literature DB >> 32620056

Demographics, comorbidities and outcomes in hospitalized Covid-19 patients in rural southwest Georgia.

Priyank Shah1,2, Jack Owens3, James Franklin4, Akshat Mehta5, William Heymann6, William Sewell7, Jennifer Hill8, Krista Barfield8, Rajkumar Doshi9.   

Abstract

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.

Entities:  

Keywords:  Covid-19; baseline characteristics; demographics; outcomes; rural US

Mesh:

Year:  2020        PMID: 32620056     DOI: 10.1080/07853890.2020.1791356

Source DB:  PubMed          Journal:  Ann Med        ISSN: 0785-3890            Impact factor:   4.709


  30 in total

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Journal:  Rural Remote Health       Date:  2021-07-12       Impact factor: 1.759

3.  The authors reply.

Authors:  Priyank Shah; Ayodeji Olarewaju
Journal:  Crit Care Med       Date:  2021-08-01       Impact factor: 7.598

4.  Impact of obesity on COVID-19-related mortality: A comment on estimates in Popkin et al 2020.

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Review 5.  Emerging evidence on Omicron (B.1.1.529) SARS-CoV-2 variant.

Authors:  Vineet Sharma; Himanshu Rai; Dev N S Gautam; Pradeep K Prajapati; Rohit Sharma
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Authors:  Amer S Alali; Abdulaziz O Alshehri; Ahmed Assiri; Shahd Khan; Munirah A Alkathiri; Omar A Almohammed; Waleed Badoghaish; Saeed M AlQahtani; Musaad A Alshammari; Mohamed Mohany; Faisal F Alamri; Yazed AlRuthia; Faleh Alqahtani
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8.  Multilevel modeling of county-level excessive alcohol use, rurality, and COVID-19 case fatality rates in the US.

Authors:  George Pro; Paul A Gilbert; Julie A Baldwin; Clare C Brown; Sean Young; Nickolas Zaller
Journal:  PLoS One       Date:  2021-06-17       Impact factor: 3.240

9.  The authors reply.

Authors:  Priyank Shah; Ayodeji Olarewaju
Journal:  Crit Care Med       Date:  2021-08-01       Impact factor: 7.598

10.  The authors reply.

Authors:  Priyank Shah; Ayodeji Olarewaju
Journal:  Crit Care Med       Date:  2021-08-01       Impact factor: 7.598

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