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Predictors of COVID-19 Outcomes Among Residents of Swedish Long-Term Care Facilities-A Nationwide Study of the Year 2020.

OBJECTIVE: We analyzed predictors of SARS-CoV-2 infection and COVID-19 death among residents of long-term care facilities (LTCFs) in Sweden for the pandemic year 2020 and its different waves.

METHODS: The study included 99% of Swedish LTCF residents (N = 82,488). Information on COVID-19 outcomes, sociodemographic factors, and comorbidities were obtained from Swedish registers. Fully adjusted Cox regression models were used to analyze predictors of COVID-19 infection and death.

RESULTS: For the entirety of 2020, age, male sex, dementia, cardiovascular-, lung-, and kidney disease, hypertension, and diabetes mellitus were predictors of COVID-19 infection and death. During 2020 and the two waves, dementia remained the strongest predictor of COVID-19 outcomes, with the strongest effect on death being among those aged 65-75 years.

CONCLUSION: Dementia emerged as a consistent and potent predictor of COVID-19 death among Swedish residents of LTCFs in 2020. These results provide important information on predictors associated with negative COVID-19 outcomes.

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