Aug 2026· Experimental Gerontology· pp.
113287
· 0 citations· 45 references
Medicine
TL;DR
Higher baseline RCII is consistently associated with both greater baseline frailty and is also associated with steeper frailty trajectories in older adults, suggesting that RCII may serve as a valuable biomarker to identify older adults at high risk for functional decline.
Abstract
Background
Frailty represents a critical geriatric syndrome characterized by increased vulnerability to stressors, underpinned by chronic inflammation and metabolic dysregulation. This study aimed to investigate the prospective association between baseline Remnant Cholesterol Inflammatory Index (RCII) and both baseline frailty and long-term progression trajectories in two large, ethnically diverse aging cohorts.
Methods
This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS; n = 8916) and the English Longitudinal Study of Aging (ELSA; n = 5732). RCII was calculated from baseline remnant cholesterol (RC) and high-sensitivity C-reactive protein (hs-CRP). Frailty was assessed using a 32-item frailty index (FI). Linear mixed-effect models were used to examine associations between RCII tertiles and FI trajectories.
Results
In cross-sectional analyses, the highest RCII tertile was associated with a significantly increased baseline FI in both CHARLS and ELSA after full adjustment. In longitudinal analyses, results for RC alone indicated that while high levels were associated with consistently elevated frailty, they were not consistently associated with an accelerated rate of progression, characterized by parallel trajectories. A significant interaction between the highest RCII tertile and time was observed in CHARLS (β = 0.197, 95% CI: 0.060 to 0.335, P = 0.020) and ELSA (β = 0.055, 95% CI: 0.042 to 0.069, P < 0.001).
Conclusion
Higher baseline RCII is consistently associated with both greater baseline frailty and is also associated with steeper frailty trajectories in older adults. These findings suggest that RCII may serve as a valuable biomarker to identify older adults at high risk for functional decline.
Higher CMI levels were associated with an increased likelihood of developing frailty, and may have potential value as a population-level marker for frailty risk assessment.
Zhen-You Liu, Qing-Yuan Wang, Jin Zhang et al.· Inquiry : a journal of medic...· 0 citations
This study showed that baseline CircS status was significantly associated with unfavorable frailty trajectories, while a greater CircS component burden was associated with both higher baseline FI levels and a faster subsequent increase in FI.
Feng Ye, Yi-Ying Zhu, Jiao-Lan Du et al.· Experimental Gerontology· 0 citations
BACKGROUND
Cognitive frailty (CF) is a prevalent geriatric syndrome associated with increased risks of falls, hospitalization, disability, and all-cause mortality among older adults. Emerging evidence suggests that chronic inflammation may contribute to the pathophysiology of CF, while dietary patterns can modulate inf...
Zihan Yi, Na Zhou, Zikejimu Sun et al.· Public Health Nursing· 0 citations
Composite indices combining remnant cholesterol with high-sensitivity C-reactive protein (hs-CRP) may capture frailty-relevant inflammatory–lipid risk. The remnant cholesterol inflammatory index (RCII) has been linked to cardiometabolic disease and Frailty-Index progression, but not to new-onset Fried-phenotype f...
Xuan-Zhe Li, Ying-Hua Xuan, Li-Shuang Zhang et al.· Lipids in Health and Disease· 0 citations
Among hypertensive CHARLS participants, higher RCII categories were associated with incident stroke, and the association was better characterized by categorical and nonlinear analyses than by a single original-scale linear estimate.
Si-Yi Jiang, Ying Cui, Li-Jun Song et al.· Frontiers in Cardiovascular...· 0 citations
Higher TyGFI, older age, hypertension, diabetes, and dyslipidemia were associated with CKD, and higher TyGFI was associated with prevalent CKD in the cross-sectional analyses and with incident CKD in the longitudinal CHARLS analysis.
Chao Cheng, Yaohui Jiang, Qiu-Ping Luo et al.· Endocrine· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.