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American Heart Association

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Final ID: Sa2055

Insulin Sensitivity and Inflammation: Key Predictors of Cardiovascular Disease in Middle-Aged and Older Adults

Abstract Body (Do not enter title and authors here): Background: Cardiovascular disease (CVD) remains a leading cause of morbidity and mortality in middle-aged and older adults. Both the estimated glucose disposal rate (eGDR), and hs-CRP have been identified as important risk factors for CVD. However, their combined influence on CVD risk in this population remains inadequately explored.
Aim: This study aims to investigate the association between eGDR, hs-CRP, and the risk of CVD in middle-aged and older adults.
Methods:
Data were from the China Health and Retirement Longitudinal Study (CHARLS), which included 17,708 participants at baseline in 2011. After excluding those with cardiovascular disease (CVD) and missing follow-up data, 6,823 participants were enrolled. eGDR was calculated using the following formula: eGDR=24.31−(0.22×Waist Circumference)−(0.33×Systolic Blood Pressure)+(0.43×Fasting Plasma Glucose)eGDR=24.31−(0.22×Waist Circumference)−(0.33×Systolic Blood Pressure)+(0.43×Fasting Plasma Glucose). eGDR was categorized according to quartiles. The primary outcome was the incidence of heart diseases and stroke.
Results:
Among the 6,823 participants enrolled, the mean age was 59.14 ± 8.75 years, and 3,080 (45.1%) were male. During a maximum follow-up period of 9 years, 1,950 (28.6%) developed CVD. After adjusting for confounding factors, the risk of CVD incidence was highest in the lowest quartile (Q1) of eGDR compared to the highest quartile (Q4) (HR: 1.62, 95% CI: 1.38-1.88), followed by Q2 (HR: 1.34, 95% CI: 1.16-1.54). Elevated hs-CRP levels (≥2 mg/L) were associated with a 1.15-fold increased risk of CVD (95% CI: 1.04-1.27) compared to lower hs-CRP levels (<2 mg/L). When considering both eGDR and hs-CRP levels, the combined effect revealed the highest risk in individuals with the lowest eGDR (Q1) and elevated hs-CRP (HR: 1.75, 95% CI: 1.44-2.12), followed by those with Q1 of eGDR and low hs-CRP (HR: 1.59, 95% CI: 1.34-1.89), Q2 of eGDR with high hs-CRP (HR: 1.50, 95% CI: 1.22-1.84), and Q2 of eGDR with low hs-CRP (HR: 1.31, 95% CI: 1.12-1.54) (Table 1)
Conclusion:
In this large real-world study, we found that individuals with high eGDR and elevated hs-CRP had the highest risk of CVD. These findings highlight the combined role of insulin sensitivity and inflammation in predicting CVD risk and provide valuable insights into cardiovascular risk, aiding in early detection and targeted prevention strategies for CVD.
  • Liu, Menglu  ( Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College , Beijing , China )
  • Yan, Kailun  ( Fuwai Hospital , Beijing , China )
  • Zhang, Kexin  ( Fuwai Hospital, CAMS and PUMC , Beijing , China )
  • Li, Jiawen  ( Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College , Beijing , China )
  • Ye, Yunqing  ( Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College , Beijing , China )
  • Yuan, Jinqing  ( Fuwai Hospital , Beijing , China )
  • Zhao, Xueyan  ( Fuwai Hospital , Beijing , China )
  • Author Disclosures:
    Menglu Liu: DO NOT have relevant financial relationships | Kailun Yan: DO NOT have relevant financial relationships | Kexin Zhang: DO NOT have relevant financial relationships | Jiawen Li: DO NOT have relevant financial relationships | Yunqing Ye: No Answer | Jinqing Yuan: No Answer | Xueyan Zhao: No Answer
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Outcomes Linked to Obesity and Related Comorbidities

Saturday, 11/08/2025 , 02:30PM - 03:30PM

Abstract Poster Board Session

More abstracts from these authors:
Comprehensive Association of Frailty and TyG Index with Cardiovascular Disease in Middle-aged and Older Adults

Liu Menglu, Ye Yunqing, Zhang Kexin, Li Jiawen, Yan Kailun, Yuan Jinqing, Zhao Xueyan

Impact of Neutrophil on Ischemic Risk in Acute Coronary Syndrome Patients Across Different Low Density Lipoprotein Cholesterol Levels

Yan Kailun, Li Jiawen, Zhang Kexin, Liu Menglu, Yuan Jinqing, Zhao Xueyan

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