Key result
Higher baseline SHR-FI linked to ~35% higher cardiometabolic multimorbidity risk per SD, largely driven by frailty.
Why the study?
Are baseline and cumulative stress-hyperglycemia ratio (SHR), frailty index (FI), and their product (SHR-FI) associated with incident cardiometabolic multimorbidity in middle-aged and older Chinese adults?
Cohort (n=6,096)
Yes
Are baseline and cumulative stress-hyperglycemia ratio (SHR), frailty index (FI), and their product (SHR-FI) associated with incident cardiometabolic multimorbidity in middle-aged and older Chinese adults?
Answers are grounded in this paper and cite their sources.
While higher stress-hyperglycemia ratio (SHR), frailty index (FI), and their product (SHR-FI) predict incident cardiometabolic multimorbidity, frailty accounts for nearly all of the risk discrimination (AUC 0.72 for cumulative FI vs 0.73 for cumulative SHR-FI), indicating that adding SHR to FI offers minimal incremental prognostic value.
Cardiometabolic multimorbidity (CMM), encompassing the co-occurrence of major cardiometabolic conditions such as diabetes, heart disease, and stroke, is a major source of disability and premature mortality in ageing populations. The stress-hyperglycemia ratio (SHR) captures glycemic dysregulation relative to long-term glycemic exposure, whereas the frailty index (FI) quantifies accumulated health deficits. We evaluated whether SHR, FI, and their composite product (SHR-FI), assessed at baseline and across two survey waves, were associated with incident CMM. We conducted a prospective analysis of 6,096 participants from the China Health and Retirement Longitudinal Study who were free of CMM at baseline. SHR, FI, and SHR-FI were assessed at Waves 1 and 3. Time-weighted two-wave summaries and data-derived two-time-point longitudinal patterns were evaluated; cumulative and pattern analyses used Wave 3 as a landmark. Cox models estimated hazard ratios (HRs) and 95% confidence intervals (CIs). Restricted cubic spline, subgroup, receiver operating characteristic, decision-curve, joint-model, landmark, and sensitivity analyses were performed. During the Wave 1-anchored follow-up, 527 participants developed CMM. In fully adjusted models, each SD increase in baseline SHR, FI, and SHR-FI was associated with HRs of 1.09 (95% CI, 1.01–1.18), 1.36 (1.26–1.48), and 1.35 (1.26–1.45), respectively. Associations were stronger for cumulative FI and cumulative SHR-FI: the HRs per SD increase were 1.60 (1.48–1.73) and 1.55 (1.44–1.66). The AUCs were 0.68 for baseline FI and SHR-FI and 0.72 and 0.73 for cumulative FI and SHR-FI, respectively. FI accounted for most of the observed discrimination, while SHR-FI showed a modest complementary signal. Landmark analyses beginning at Wave 3 produced directionally consistent cumulative FI and SHR-FI associations. Higher SHR, greater FI, and a higher SHR-FI product were associated with incident CMM. FI provided most of the observed discrimination, and SHR-FI offered limited additional information in this cohort. Two-wave cumulative summaries and longitudinal patterns may support research-oriented risk stratification, but their clinical value requires calibration, internal validation, and external validation.
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Liu et al. (2026) conducted a cohort in Free of cardiometabolic multimorbidity (diabetes, heart disease, and stroke) at baseline (n=6,096). Stress-hyperglycemia ratio (SHR), frailty index (FI), and their composite product (SHR-FI) vs. Lower exposure levels (per 1-SD decrease or lowest tertile T1 / pattern class 1) was evaluated on Incident cardiometabolic multimorbidity (CMM), defined as the coexistence of at least 2 of 3 conditions: diabetes, heart disease, and stroke (HR 1.35 per SD increase in baseline SHR-FI (cumulative SHR-FI HR 1.55), 95% CI 1.26-1.45, p=<0.01). Higher baseline SHR-FI product (HR 1.35 per SD, 95% CI 1.26-1.45) and cumulative SHR-FI (HR 1.55, 95% CI 1.44-1.66) were associated with incident cardiometabolic multimorbidity, largely driven by FI.
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