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J Am Med Dir Assoc ; 21(12): 1791-1797.e1, 2020 12.
Article in English | MEDLINE | ID: covidwho-929162

ABSTRACT

OBJECTIVES: To describe the symptomatology, mortality, and risk factors for mortality in a large group of Dutch nursing home (NH) residents with clinically suspected COVID-19 who were tested with a reverse transcription-polymerase chain reaction (RT-PCR) test. DESIGN: Prospective cohort study. SETTING AND PARTICIPANTS: Residents of Dutch NHs with clinically suspected COVID-19 and who received RT-PCR test. METHODS: We collected data of NH residents with clinically suspected COVID-19 via electronic health records between March 18 and May 13, 2020. Registration was performed on diagnostic status [confirmed (COVID-19+)/ruled out (COVID-19-)] and symptomatology (typical and atypical symptoms). Information on mortality and risk factors for mortality were extracted from usual care data. RESULTS: In our sample of residents with clinically suspected COVID-19 (N = 4007), COVID-19 was confirmed in 1538 residents (38%). Although symptomatology overlapped between residents with COVID-19+ and COVID-19-, those with COVID-19+ were 3 times more likely to die within 30 days [hazard ratio (HR), 3.1, 95% confidence interval (CI) 2.7-3.6]. Within this group, mortality was higher for men than for women (HR 1.8, 95% CI 1.5-2.2), and we observed a higher mortality for residents with dementia, reduced kidney function, and Parkinson's disease, even when corrected for age, gender, and comorbidities. CONCLUSIONS AND IMPLICATIONS: About 40% of the residents with clinically suspected COVID-19 actually had COVID-19, based on the RT-PCR test. Despite an overlap in symptomatology, mortality rate was 3 times higher for residents with COVID-19+. This emphasizes the importance of using low-threshold testing in NH residents, which is an essential prerequisite to using limited personal protective equipment and isolation measures efficiently.


Subject(s)
COVID-19/mortality , COVID-19/physiopathology , Nursing Homes , Aged , Aged, 80 and over , Comorbidity , Electronic Health Records , Female , Humans , Male , Netherlands/epidemiology , Pandemics , Proportional Hazards Models , Prospective Studies , Risk Assessment , SARS-CoV-2 , Survival Analysis
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