Limited incremental predictive value of the frailty index and other vulnerability measures from routine care data for mortality risk prediction in older patients with COVID-19 in primary care
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View abstract on PubMed
Summary
This summary is machine-generated.In older COVID-19 patients, age and sex were the primary predictors of 28-day mortality. Routine vulnerability measures offered minimal additional predictive value for short-term outcomes in primary care settings.
Area Of Science
- Gerontology
- Epidemiology
- Primary Care Medicine
Background
- COVID-19 pandemic highlighted the need to assess older patients' vulnerability.
- Evidence on prognostic value of vulnerability measures in primary care COVID-19 patients was lacking.
- Understanding vulnerability is key for pandemic preparedness.
Purpose Of The Study
- To assess the predictive value of routine care-based vulnerability measures for 28-day mortality in older COVID-19 primary care patients.
- To evaluate the incremental predictive value beyond age and sex.
Main Methods
- Retrospective analysis of Dutch primary care databases (2020-2021).
- Included patients aged 70+ with COVID-19 diagnosis.
- Logistic regression used to predict 28-day all-cause mortality, comparing models with age/sex alone versus adding six vulnerability measures.
Main Results
- 9% of 4,065 older COVID-19 patients died within 28 days.
- Comorbidity scores (Charlson, Chronic Comorbidity) slightly improved prediction (AUC 0.69 to 0.74).
- Frailty Index, renal function, drug count, and cognitive impairment showed minimal impact.
Conclusions
- Age and sex were significant predictors of mortality in older primary care COVID-19 patients.
- Routine vulnerability measures provided limited incremental predictive value for short-term mortality.
- Further research may refine vulnerability assessment for better risk stratification.
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