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Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty
Published on: July 24, 2013
Heart Stress, Frailty and Mortality Risk in two prospective cohorts
Yaqi Huang1, Meng Hao1,2, Shuai Jiang3
1Department of Internal Medicine of Traditional Chinese Medicine, Huadong Hospital, Human Phenome Institute, Fudan University, Shanghai, 200433, China.
Importance:
Frailty is a multisystem syndrome that reflects age-related physiological decline, underscoring the need for more biologically informed risk stratification within frailty assessments. Frailty and heart stress (HS) are individually associated with increased mortality risk, but their combined effects remain practically unexplored.
Objective:
To evaluate whether the combined exposure to frailty and HS is associated with an increased risk of mortality.
Design Setting And Participants:
This prospective cohort study used data from the US National Health and Nutrition Examination Survey (NHANES) and the Health and Retirement Study (HRS). Participants with complete data on frailty and HS were included. Analyses was performed between May 2025 and October 2025.
Exposure:
Frailty was assessed using three frailty indices (FI) based on self-reported items (FI-Self-report), blood biomarkers (FI-Lab), and their combination (FI-Combined). HS was defined by age-adjusted elevation in N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. Participants were estimate into four groups according to baseline frailty and HS status.
Main Outcomes And Measures:
The primary outcome was all-cause mortality. Cox proportional hazard models were employed to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs).
Results:
A total of 12,252 participants from NHANES (mean age 49.91 years, 52.18% female), and 9,488 participants from HRS (mean age 69.16 years, 58.97% female) were included. Compared with those having neither frailty nor HS, participants with frailty and/or HS showed significantly elevated mortality risk in both cohorts, with HRs ranging from 1.81 to 5.54. The highest mortality risk was observed in participant with both frailty and HS, the HRs were 3.58 (95% CI: 3.20-4.01) for FI Self Report, 3.43 (95% CI: 3.04-3.86) for FI Lab, and 4.15 (95% CI: 3.70-4.67) for FI Combined in NHANES; the corresponding HRs were 5.02 (95% CI: 4.38-5.76), 4.73 (95% CI: 4.13-5.41), and 5.54 (95% CI: 4.84-6.35) in HRS, respectively.
Conclusions And Relevance:
Co-occurrence of frailty and HS is common, and jointly associated with increased mortality risk in the general population. These findings support integrating HS into frailty assessments to improve mortality risk stratification and guide targeted interventions.
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