Literature DB >> 33787905

Risk Factors Associated With SARS-CoV-2 Infections, Hospitalization, and Mortality Among US Nursing Home Residents.

Hemalkumar B Mehta1,2, Shuang Li3, James S Goodwin3.   

Abstract

Importance: Nursing home residents account for approximately 40% of deaths from SARS-CoV-2. Objective: To identify risk factors for SARS-CoV-2 incidence, hospitalization, and mortality among nursing home residents in the US. Design, Setting, and Participants: This retrospective longitudinal cohort study was conducted in long-stay residents aged 65 years or older with fee-for-service Medicare residing in 15 038 US nursing homes from April 1, 2020, to September 30, 2020. Data were analyzed from November 22, 2020, to February 10, 2021. Main Outcomes and Measures: The main outcome was risk of diagnosis with SARS-CoV-2 (per International Statistical Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] codes) by September 30 and hospitalization or death within 30 days after diagnosis. Three-level (resident, facility, and county) logistic regression models and competing risk models conditioned on nursing home facility were used to determine association of patient characteristics with outcomes.
Results: Among 482 323 long-stay residents included, the mean (SD) age was 82.7 (9.2) years, with 326 861 (67.8%) women, and 383 838 residents (79.6%) identifying as White. Among 137 119 residents (28.4%) diagnosed with SARS-CoV-2 during follow up, 29 204 residents (21.3%) were hospitalized, and 26 384 residents (19.2%) died within 30 days. Nursing homes explained 37.2% of the variation in risk of infection, while county explained 23.4%. Risk of infection increased with increasing body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) (eg, BMI>45 vs BMI 18.5-25: adjusted hazard ratio [aHR], 1.19; 95% CI, 1.15-1.24) but varied little by other resident characteristics. Risk of hospitalization after SARS-CoV-2 increased with increasing BMI (eg, BMI>45 vs BMI 18.5-25: aHR, 1.40; 95% CI, 1.28-1.52); male sex (aHR, 1.32; 95% CI, 1.29-1.35); Black (aHR, 1.28; 95% CI, 1.24-1.32), Hispanic (aHR, 1.20; 95% CI, 1.15-1.26), or Asian (aHR, 1.46; 95% CI, 1.36-1.57) race/ethnicity; impaired functional status (eg, severely impaired vs not impaired: aHR, 1.15; 95% CI, 1.10-1.22); and increasing comorbidities, such as renal disease (aHR, 1.21; 95% CI, 1.18-1.24) and diabetes (aHR, 1.16; 95% CI, 1.13-1.18). Risk of mortality increased with age (eg, age >90 years vs 65-70 years: aHR, 2.55; 95% CI, 2.44-2.67), impaired cognition (eg, severely impaired vs not impaired: aHR, 1.79; 95% CI, 1.71-1.86), and functional impairment (eg, severely impaired vs not impaired: aHR, 1.94; 1.83-2.05). Conclusions and Relevance: These findings suggest that among long-stay nursing home residents, risk of SARS-CoV-2 infection was associated with county and facility of residence, while risk of hospitalization and death after SARS-CoV-2 infection was associated with facility and individual resident characteristics. For many resident characteristics, there were substantial differences in risk of hospitalization vs mortality. This may represent resident preferences, triaging decisions, or inadequate recognition of risk of death.

Entities:  

Mesh:

Year:  2021        PMID: 33787905     DOI: 10.1001/jamanetworkopen.2021.6315

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


  22 in total

1.  Older Adults, Protective Factors, and Opportunities to Promote Health during the COVID-19 Pandemic.

Authors:  Sophia B Kim; Yeonjung Jane Lee
Journal:  Hawaii J Health Soc Welf       Date:  2022-08

2.  Association of Obesity With COVID-19 Severity and Mortality: An Updated Systemic Review, Meta-Analysis, and Meta-Regression.

Authors:  Romil Singh; Sawai Singh Rathore; Hira Khan; Smruti Karale; Yogesh Chawla; Kinza Iqbal; Abhishek Bhurwal; Aysun Tekin; Nirpeksh Jain; Ishita Mehra; Sohini Anand; Sanjana Reddy; Nikhil Sharma; Guneet Singh Sidhu; Anastasios Panagopoulos; Vishwanath Pattan; Rahul Kashyap; Vikas Bansal
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-03       Impact factor: 6.055

Review 3.  Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Abraham Degarege; Zaeema Naveed; Josiane Kabayundo; David Brett-Major
Journal:  Pathogens       Date:  2022-05-10

4.  Spread of COVID-19 Infection in Long-Term Care Facilities of Trieste (Italy) during the Pre-Vaccination Era, Integrating Findings of 41 Forensic Autopsies with Geriatric Comorbidity Index as a Valid Option for the Assessment of Strength of Causation.

Authors:  Martina Zanon; Michela Peruch; Monica Concato; Carlo Moreschi; Stefano Pizzolitto; Davide Radaelli; Stefano D'Errico
Journal:  Vaccines (Basel)       Date:  2022-05-13

Review 5.  Diabetes and SARS-CoV-2-Is There a Mutual Connection?

Authors:  Anna P Jedrzejak; Edyta K Urbaniak; Jadwiga A Wasko; Natalia Ziojla; Malgorzata Borowiak
Journal:  Front Cell Dev Biol       Date:  2022-06-13

6.  Effectiveness of COVID-19 Booster on the Risk of Hospitalization Among Medicare Beneficiaries.

Authors:  Hemalkumar B Mehta; Shuang Li; James S Goodwin
Journal:  Mayo Clin Proc       Date:  2022-07-12       Impact factor: 11.104

7.  Caring for nursing home residents with COVID-19: a "hospital-at-nursing home" intermediate care intervention.

Authors:  Enrico Benvenuti; Giulia Rivasi; Matteo Bulgaresi; Riccardo Barucci; Chiara Lorini; Daniela Balzi; Antonio Faraone; Giacomo Fortini; Gabriele Vaccaro; Ilaria Del Lungo; Salvatore Gangemi; Sante Giardini; Cecilia Piga; Eleonora Barghini; Serena Boni; Giulia Bulli; Paolo Carrai; Andrea Crociani; Aldo Lo Forte; Letizia Martella; Simone Pupo; Irene Marozzi; Giulia Bandini; Primo Buscemi; Claudia Cosma; Lorenzo Stacchini; Lorenzo Baggiani; Andrea Ungar; Enrico Mossello; Guglielmo Bonaccorsi; Giancarlo Landini
Journal:  Aging Clin Exp Res       Date:  2021-08-20       Impact factor: 3.636

8.  Clinical features predicting COVID-19 mortality risk.

Authors:  Hamidreza Kouhpayeh
Journal:  Eur J Transl Myol       Date:  2022-04-12

9.  Age-adjusted Charlson comorbidity index score is the best predictor for severe clinical outcome in the hospitalized patients with COVID-19 infection.

Authors:  Do Hyoung Kim; Hayne Cho Park; Ajin Cho; Juhee Kim; Kyu-Sang Yun; Jinseog Kim; Young-Ki Lee
Journal:  Medicine (Baltimore)       Date:  2021-05-07       Impact factor: 1.889

10.  Racial disparities in COVID-19 pandemic cases, hospitalisations, and deaths: A systematic review and meta-analysis.

Authors:  William Mude; Victor M Oguoma; Tafadzwa Nyanhanda; Lillian Mwanri; Carolyne Njue
Journal:  J Glob Health       Date:  2021-06-26       Impact factor: 4.413

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