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Published on: August 9, 2024

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Correlation Analysis of Gensini Score in Diabetic Patients with Coronary Heart Disease

Jinyue Qi1,2,3,4, Yunzhe Wang1,2,3,4, Zhiyu Liu1,2,3,4

  • 1Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, 450052 Zhengzhou, Henan, China.

Reviews in Cardiovascular Medicine
|July 30, 2024
PubMed

Insights

A high Gensini score indicates an increased risk of major adverse cardiac and cerebrovascular events (MACCEs) in patients with diabetes mellitus (DM) and coronary heart disease (CHD). This finding aids in predicting adverse outcomes for these high-risk individuals.

Area of Science:

  • Cardiology
  • Endocrinology
  • Medical Diagnostics

Background:

  • Assessing risk factors is crucial for managing patients with both diabetes mellitus (DM) and coronary heart disease (CHD).
  • The Gensini score is a tool used to quantify coronary artery stenosis severity.

Purpose of the Study:

  • To investigate the correlation between the Gensini score and the incidence of major adverse cardiac and cerebrovascular events (MACCEs).
  • To evaluate the predictive value of the Gensini score for MACCEs in patients with DM and CHD.

Main Methods:

  • 802 patients with DM and CHD were enrolled, with a median follow-up of 3000 days.
  • Receiver operating characteristic (ROC) curves were used to determine the optimal Gensini score cut-off for predicting MACCEs.
  • Univariate and multivariate Cox regression and Kaplan-Meier analyses identified risk factors and compared MACCE incidence between groups.

Main Results:

  • The Gensini score showed an Area Under the Curve (AUC) of 0.675 for predicting MACCEs.
  • A Gensini score cut-off of 74.8605 yielded a sensitivity of 68.8% and specificity of 56%.
  • Higher Gensini scores were significantly associated with a greater incidence of MACCEs.

Conclusions:

  • A high Gensini score is a significant risk factor for MACCEs in patients with DM and CHD.
  • The Gensini score can aid in identifying patients at higher risk for adverse cardiac and cerebrovascular events.
Abstract

Keywords:
Gensini scoreMACCEscardiovascular heart diseasediabetes mellitus

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