Association of Frailty Status with Staging and Mortality Risk of Cardiovascular-Kidney-Metabolic Syndrome in Middle-Aged and Older Populations: Insights from the 1999–2018 National Health and Nutrition Examination Survey

<b>Background:</b> Cardiovascular-kidney-metabolic syndrome (CKM) represents a multisystem condition involving obesity, diabetes, chronic kidney disease, and cardiovascular diseases. Frailty, as measured by the Frailty Index (FI), is linked to adverse outcomes, but its association with CKM severity and mortality remains unclear. This study aimed to evaluate the relationship between frailty status, CKM staging, and mortality risk. <b>Methods:</b> We analysed data from 19,407 adults aged ≥ 45 years from NHANES 1999-2018. Frailty status was assessed using a 49-item Frailty Index (FI) and categorised as robust (FI ≤ 0.08), pre-frail (0.08 < FI < 0.25), or frail (FI ≥ 0.25). CKM was staged from 1 to 4 based on established clinical criteria. Multinomial logistic regression assessed the association between frailty status and CKM staging. Cox proportional hazards models evaluated the associations between frailty status and all-cause, cardiovascular, and non-cardiovascular mortality among CKM patients. <b>Results:</b> A total of 19,407 participants (median [IQR] age: 63.00 [54.00-72.00] years, 50.77% male), with 19,089 CKM patients. Frail individuals exhibited significantly higher odds of being assigned to advanced CKM stages. Over a median follow-up of 8.4 years, 4794 participants died. Kaplan-Meier curves and restricted cubic spline analyses demonstrated a clear gradient in mortality risk across frailty categories. Compared with the robust group, pre-frail and frail individuals had significantly higher risks of all-cause (HR = 1.47 and 2.83, respectively), cardiovascular (HR = 1.71 and 3.78), and non-cardiovascular mortality (HR = 1.40 and 2.57). <b>Conclusions:</b> Frailty status demonstrated a significant association with CKM staging and mortality outcomes. Early identification of frailty may help guide risk stratification and inform tailored interventions for individuals with CKM.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Medicine
Published
2025-08-25
DOI
https://doi.org/10.3390/jcm14176008
Citations
1
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
1.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of Frailty Status with Staging and Mortality Risk of Cardiovascular-Kidney-Metabolic Syndrome in Middle-Aged and Older Populations: Insights from the 1999–2018 National Health and Nutrition Examination Survey

Zhenkun Yang, Gregory Y.H. Lip, Manlin Zhao, Shuang Wu et al.
1 citations
Journal of Clinical Medicine
Frailty in Older Adults
1.22
article

Association of Frailty Status with Staging and Mortality Risk of Cardiovascular-Kidney-Metabolic Syndrome in Middle-Aged and Older Populations: Insights from the 1999–2018 National Health and Nutrition Examination Survey

Zhenkun Yang, Gregory Y.H. Lip, Manlin Zhao, Shuang Wu, Yang Chen, Yang Xu, Yun-Yu Chen, Yuan-Jie Li, Hongyu Liu
article en
1 citations

Abstract

<b>Background:</b> Cardiovascular-kidney-metabolic syndrome (CKM) represents a multisystem condition involving obesity, diabetes, chronic kidney disease, and cardiovascular diseases. Frailty, as measured by the Frailty Index (FI), is linked to adverse outcomes, but its association with CKM severity and mortality remains unclear. This study aimed to evaluate the relationship between frailty status, CKM staging, and mortality risk. <b>Methods:</b> We analysed data from 19,407 adults aged ≥ 45 years from NHANES 1999-2018. Frailty status was assessed using a 49-item Frailty Index (FI) and categorised as robust (FI ≤ 0.08), pre-frail (0.08 < FI < 0.25), or frail (FI ≥ 0.25). CKM was staged from 1 to 4 based on established clinical criteria. Multinomial logistic regression assessed the association between frailty status and CKM staging. Cox proportional hazards models evaluated the associations between frailty status and all-cause, cardiovascular, and non-cardiovascular mortality among CKM patients. <b>Results:</b> A total of 19,407 participants (median [IQR] age: 63.00 [54.00-72.00] years, 50.77% male), with 19,089 CKM patients. Frail individuals exhibited significantly higher odds of being assigned to advanced CKM stages. Over a median follow-up of 8.4 years, 4794 participants died. Kaplan-Meier curves and restricted cubic spline analyses demonstrated a clear gradient in mortality risk across frailty categories. Compared with the robust group, pre-frail and frail individuals had significantly higher risks of all-cause (HR = 1.47 and 2.83, respectively), cardiovascular (HR = 1.71 and 3.78), and non-cardiovascular mortality (HR = 1.40 and 2.57). <b>Conclusions:</b> Frailty status demonstrated a significant association with CKM staging and mortality outcomes. Early identification of frailty may help guide risk stratification and inform tailored interventions for individuals with CKM.

Journal of Clinical MedicineVol. 14(17)
Nanchang University (CN), Medical University of Białystok (PL), University of Liverpool (GB), National Chung Hsing University (TW), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), China-Japan Friendship Hospital (CN), Peking Union Medical College Hospital (CN), Tianjin Medical University General Hospital (CN), Taipei Veterans General Hospital (TW), Liverpool Heart and Chest Hospital (GB), National Clinical Research Center for Digestive Diseases (CN), Taichung Veterans General Hospital (TW), First Affiliated Hospital of Jiangxi Medical College (CN), Second Affiliated Hospital of Nanchang University (CN), Beijing Anzhen Hospital (CN), Fu Wai Hospital (CN), Liverpool John Moores University (GB), Aalborg University (DK)
Openalex Percentile: Top 19%
Frailty in Older Adults
1.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.