The Impact of Long-Term Conditions and Comorbidity Patterns on COVID-19 Infection and Hospitalisation: A Cohort Study

Multimorbidity and frailty are associated with poorer SARS-CoV-2-related outcomes: systematic review of population-based studies

BACKGROUND

Estimating the risks and impacts of COVID-19 for different health groups at the population level is essential for orienting public health measures. Adopting a population-based approach, we conducted a systematic review to explore: (1) the etiological role of multimorbidity and frailty in developing SARS-CoV-2 infection and COVID-19-related short-term outcomes; and (2) the prognostic role of multimorbidity and frailty in developing short- and long-term outcomes. This review presents the state of the evidence in the early years of the pandemic. It was conducted within the European Union Horizon 2020 program (No: 101018317); Prospero registration: CRD42021249444.

METHODS

PubMed, Embase, World Health Organisation COVID-19 Global literature on coronavirus disease, and PsycINFO were searched between January 2020 and 7 April 2021 for multimorbidity and 1 February 2022 for frailty. Quantitative peer-reviewed studies published in English with population-representative samples and validated multimorbidity and frailty tools were considered.

RESULTS

Overall, 9,701 records were screened by title/abstract and 267 with full text. Finally, 14 studies were retained for multimorbidity (etiological role, n = 2; prognostic, n = 13) and 5 for frailty (etiological role, n = 2; prognostic, n = 4). Only short-term outcomes, mainly mortality, were identified. An elevated likelihood of poorer outcomes was associated with an increasing number of diseases, a higher Charlson Comorbidity Index, different disease combinations, and an increasing frailty level.

DISCUSSION

Future studies, which include the effects of recent virus variants, repeated exposure and vaccination, will be useful for comparing the possible evolution of the associations observed in the earlier waves.

COVID-19 Hospitalization Outcomes for Long-Term Care Facility Residents With Dementia: Mediation by Pre-existing Health Conditions

Background: This study explores COVID-19 emergency admission and length of hospital stay hospitalization outcomes for Long-Term Care Facility (LTCF) residents with dementia. Methods: Utilizing a cross-sectional case control design, we employed logistic regression to analyze Texas Inpatient Public Use Data File (PUDF) for 1,413 dementia patients and 1,674 non-dementia patients (>60 years) to predict emergency admission and length of hospital stay with mediation by pre-existing conditions. Results: LTCF residents with dementia have a higher likelihood of COVID-19 emergency admission and shorter hospital stays. Adjusting for confounders of demographics, health insurance, and lifestyle, dementia diagnosis remained significantly associated with emergency admission and shorter hospital stays with preexisting conditions. Conclusion: Findings underscore the heightened risk for adverse COVID-19 hospitalization care disparities with dementia. Targeted health support programs for LTCF residents with dementia should aim to improve their COVID19 hospitalization outcomes, treating pre-existing health conditions and reducing their risk for excess mortality.