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Development and Validation of a Predictive Model Based on Serum Silent Information Regulator 6 Levels in Chinese Older Adult Patients: Cross-Sectional Descriptive Study

  • 0Department of General Practice, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jmir Aging +

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January 24, 2025

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January 24, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Silent information regulator 6 (SIRT6) predicts coronary artery disease (CAD) severity in older adults. A nomogram combining SIRT6 and the triglyceride glucose (TyG) index enhances prediction accuracy for cardiovascular health.

Area Of Science

  • Cardiovascular Medicine
  • Biomarker Discovery
  • Geriatric Medicine

Background

  • Serum silent information regulator 6 (SIRT6) levels are linked to aging and coronary artery disease (CAD).
  • The role of SIRT6 in differentiating the severity of coronary artery lesions in elderly patients remains unclear.

Purpose Of The Study

  • To develop a predictive nomogram utilizing SIRT6 for assessing coronary artery atherosclerosis severity.
  • To evaluate the efficacy of SIRT6 as a biomarker for CAD in older adults.

Main Methods

  • A single-center study screened 222 patients aged 60+ with angina pectoris.
  • Serum SIRT6 levels were measured via ELISA; clinical data and angiography were analyzed.
  • An Extreme Gradient Boosting (XGBoost) model developed a nomogram, validated using 10-fold cross-validation.

Main Results

  • Serum SIRT6 was an independent risk factor and predictor for CAD in older adults (AUROC 0.725).
  • A nomogram integrating SIRT6, triglyceride glucose (TyG) index, and apolipoprotein B achieved high predictive accuracy (AUROC 0.956 in development, 0.913 in validation).
  • The model demonstrated satisfactory calibration, with predicted outcomes closely matching actual results.

Conclusions

  • SIRT6 shows significant potential for predicting CAD, especially when combined with the TyG index.
  • The developed nomogram can aid in clinical trial design and personalized treatment decisions for older adults with angina.
  • Monitoring SIRT6 and TyG index fluctuations may facilitate early detection and management of cardiovascular disease.

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