Aug 2026· Mayo Clinic proceedings· 0 citations· 36 references
Medicine
TL;DR
Frailty fundamentally attenuates risk in HF, while multimorbidity stratifies prognosis only when physiological reserve is preserved, while multimorbidity stratifies prognosis only when physiological reserve is preserved.
Abstract
Objective
To evaluate whether frailty modifies the association of multimorbidity in HF.
Methods
A retrospective cohort study of HF patients. Multimorbidity was quantified using 26 conditions and categorized as low (≤4), intermediate (5-7), or high (>8). Frailty was defined using a multimodal construct integrating functional, nutritional, and biochemical domains. All-cause mortality was assessed using cox models with frailty-multimorbidity interaction testing. Charlson Comorbidity Index (CCI) was used for validation.
Results
Among 18,058 patients (median age 74 years; 62% male; 64% frail), 57% died over a median follow-up of 4.0 years (IQR 1.3-7.7). Multimorbidity burden comprised 30.5% low, 48% intermediate, and 21.5% high. Frailty was associated with a 91% higher mortality risk (adjusted HR 1.91; 95% CI 1.85-2.00). Compared with low multimorbidity, intermediate and high burden were associated with an independent 8% and 20% higher mortality risks, respectively (95% CI 1.02-1.14 and 1.13-1.27; both p<.001). However, the association of multimorbidity differed by frailty such that among non-frail patients, intermediate and high multimorbidity increased mortality by 18% and 42% whereas in frail patients, the association was attenuated, with no excess risk for intermediate burden and only 13% increase for high burden (p-for-interaction <.001). CCI analyses was consistent, though differed among females and HFpEF.
Conclusion
Frailty fundamentally attenuates risk in HF, while multimorbidity stratifies prognosis only when physiological reserve is preserved.
OBJECTIVES
To examine whether the prognostic relevance of multimorbidity burden for hospital-associated disability (HAD) varies with baseline frailty in hospitalized older adults.
DESIGN
Retrospective multicenter cohort study.
SETTING AND PARTICIPANTS
We analyzed data from 1599 older adults aged ≥65 years admitted...
H. Umegaki, Hirotaka Nakashima, Y. Yamada et al.· Journal of the American Medi...· 0 citations
Background: As the global population ages, frailty has emerged as a critical predictor of adverse hospitalization outcomes. In low-resource settings like Bangladesh, socioeconomic barriers frequently lead to Discharge Against Medical Advice (DAMA), yet the specific role of frailty in driving these premature discharges...
T. M. Shahanawaz Islam, N. Islam, S. B. Proma et al.· International Journal of Res...· 0 citations
BACKGROUND
Risk stratification in elderly patients with heart failure (HF) remains challenging. Conventional risk models often fail to capture physiologic vulnerability, limiting personalized care. The Clinical Frailty Scale (CFS), a simple bedside measure of frailty, has not been systematically evaluated for its progn...
Sneha Annie Sebastian, A. Yehya· Current problems in cardiolo...· 0 citations
Background Frailty is a known predictor of adverse outcomes in aortic valve replacement. However, its impact on the broader population with valvular heart disease (VHD) remains less explored. Objectives This study aimed to evaluate the prevalence of frailty across major VHD subtypes and investigate the association betw...
Cheng-Qing Jiang, Ziang Li, Yun-Qing Ye et al.· JACC: Advances· 0 citations
BackgroundLongitudinal evidence on frailty and subsequent arthritis in China is limited.MethodsWe analyzed 4,615 adults aged ≥45 years from the China Health and Retirement Longitudinal Study (2011-2020), excluding those with baseline physician-diagnosed arthritis. Multivariable logistic regression assessed associations...
Bing-Qi Wei, Xinyue Zhang, Shao Cheng et al.· Journal of Applied Gerontolo...· 0 citations
The use of thiazide diuretics was identified as an independent predictor associated with lower frailty probability and an online calculator was developed as a proof-of-concept tool to demonstrate the potential application of the predictive model and facilitate real-time risk estimation.