Dataset Information

Outcomes from COVID-19 across the range of frailty: excess mortality in fitter older people.

ABSTRACT: PURPOSE:Our aim was to quantify the mortality from COVID-19 and identify any interactions with frailty and other demographic factors. METHODS:Hospitalised patients aged???70 were included, comparing COVID-19 cases with non-COVID-19 controls admitted over the same period. Frailty was prospectively measured and mortality ascertained through linkage with national and local statutory reports. RESULTS:In 217 COVID-19 cases and 160 controls, older age and South Asian ethnicity, though not socioeconomic position, were associated with higher mortality. For frailty, differences in effect size were evident between cases (HR 1.02, 95% CI 0.93-1.12) and controls (HR 1.99, 95% CI 1.46-2.72), with an interaction term (HR 0.51, 95% CI 0.37-0.71) in multivariable models. CONCLUSIONS:Our findings suggest that (1) frailty is not a good discriminator of prognosis in COVID-19 and (2) pathways to mortality may differ in fitter compared with frailer older patients.

SUBMITTER: Miles A

PROVIDER: S-EPMC7368630 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Outcomes from COVID-19 across the range of frailty: excess mortality in fitter older people.

Miles Amy A Webb Thomas E TE Mcloughlin Benjamin C BC Mannan Imran I Rather Arshad A Knopp Paul P Davis Daniel D

European geriatric medicine 20200718 5

<h4>Purpose</h4>Our aim was to quantify the mortality from COVID-19 and identify any interactions with frailty and other demographic factors.<h4>Methods</h4>Hospitalised patients aged ≥ 70 were included, comparing COVID-19 cases with non-COVID-19 controls admitted over the same period. Frailty was prospectively measured and mortality ascertained through linkage with national and local statutory reports.<h4>Results</h4>In 217 COVID-19 cases and 160 controls, older age and South Asian ethnicity, t ...[more]

PMID: 32683576

Similar Datasets

Project description:We estimated excess mortality in Medicare recipients in the United States with probable and confirmed Covid-19 infections in the general community and amongst residents of long-term care (LTC) facilities. We considered 28,389,098 Medicare and dual-eligible recipients from one year before February 29, 2020 through September 30, 2020, with mortality followed through November 30th, 2020. Probable and confirmed Covid-19 diagnoses, presumably mostly symptomatic, were determined from ICD-10 codes. We developed a Risk Stratification Index (RSI) mortality model which was applied prospectively to establish baseline mortality risk. Excess deaths attributable to Covid-19 were estimated by comparing actual-to-expected deaths based on historical (2017-2019) comparisons and in closely matched concurrent (2020) cohorts with and without Covid-19. Overall, 677,100 (2.4%) beneficiaries had confirmed Covid-19 and 2,917,604 (10.3%) had probable Covid-19. A total of 472,329 confirmed cases were community living and 204,771 were in LTC. Mortality following a probable or confirmed diagnosis in the community increased from an expected incidence of about 4.0% to actual incidence of 7.5%. In long-term care facilities, the corresponding increase was from 20.3% to 24.6%. The absolute increase was therefore similar at 3-4% in the community and in LTC residents. The percentage increase was far greater in the community (89.5%) than among patients in chronic care facilities (21.1%) who had higher baseline risk of mortality. The LTC population without probable or confirmed Covid-19 diagnoses experienced 38,932 excess deaths (34.8%) compared to historical estimates. Limitations in access to Covid-19 testing and disease under-reporting in LTC patients probably were important factors, although social isolation and disruption in usual care presumably also contributed. Remarkably, there were 31,360 (5.4%) fewer deaths than expected in community dwellers without probable or confirmed Covid-19 diagnoses. Disruptions to the healthcare system and avoided medical care were thus apparently offset by other factors, representing overall benefit. The Covid-19 pandemic had marked effects on mortality, but the effects were highly context-dependent.

Dataset Information

Outcomes from COVID-19 across the range of frailty: excess mortality in fitter older people.

Publications

Outcomes from COVID-19 across the range of frailty: excess mortality in fitter older people.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets