[Factors related to the poor coronary collateral circulation in patients with coronary artery disease]

Ming-ping He1, Yong Li1, Wei Shen1

  • 1Department of Cardiology, Huashan Hospital, Fudan University, Shanghai 200040, China.

Insights

High fasting blood glucose (FBG) and low estimated glomerular filtration rate (eGFR) are independent predictors of poor coronary collateral circulation (CCC) in coronary artery disease (CAD) patients. These factors work together, showing a synergistic effect that increases the risk of poor CCC.

Area of Science:

  • Cardiovascular Medicine
  • Nephrology
  • Metabolic Disorders

Context:

  • Coronary artery disease (CAD) affects millions globally, with coronary collateral circulation (CCC) playing a crucial role in myocardial protection.
  • Poor CCC is associated with adverse cardiovascular outcomes in CAD patients.
  • Identifying factors influencing CCC is vital for risk stratification and therapeutic strategies.

Purpose:

  • To investigate the independent predictors of poor CCC in CAD patients.
  • To explore the synergistic effects of various factors, specifically fasting blood glucose (FBG) and estimated glomerular filtration rate (eGFR), on CCC.
  • To determine optimal cut-off values for FBG in predicting poor CCC.

Summary:

  • A study of 180 CAD patients revealed that higher FBG levels and lower eGFR were significantly associated with poor CCC (Rentrop 0-1).
  • Multivariate analysis confirmed FBG and eGFR as independent predictors of poor CCC, even after adjusting for other risk factors.
  • A synergistic effect was observed, with combined high FBG and low eGFR substantially increasing the risk of poor CCC.

Impact:

  • This research identifies high FBG and low eGFR as key, independent risk factors for poor CCC in CAD.
  • The findings highlight a significant synergistic interaction between FBG and eGFR in exacerbating poor CCC.
  • These results can inform clinical practice for better risk assessment and management of CAD patients.
Abstract

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