Prevalence of renovascular abnormality in patients undergoing cardiac catheterization

R Ravichandran1, T Rengarajan, K N Reddy

  • 1Madras Institute of Nephrology, Vijaya Health Centre, Chennai.

Insights

Renal artery stenosis affects 12.4% of patients undergoing angiography for cardiovascular disease. Age, diabetes, and hypertension are key predictors, suggesting routine renal artery visualization is beneficial.

Area of Science:

  • Cardiovascular Medicine
  • Nephrology
  • Radiology

Background:

  • Cardiovascular diseases are a leading cause of morbidity and mortality.
  • Renal artery stenosis (RAS) is a significant risk factor for cardiovascular events and chronic kidney disease.
  • Identifying RAS in patients undergoing evaluation for cardiovascular disease is crucial for timely intervention.

Purpose of the Study:

  • To determine the prevalence of renal artery disease in patients undergoing angiography for cardiovascular diseases.
  • To correlate underlying risk factors such as age, sex, diabetes, hypertension, urea, and creatinine with renal artery stenosis.
  • To assess the clinical utility of routine renal artery visualization during coronary angiography.

Main Methods:

  • Retrospective analysis of angiogram reports from patients who underwent cardiac catheterization.
  • Data collection included patient demographics, cardiovascular diagnoses, and renal artery stenosis findings.
  • Statistical analysis to identify predictors of renal artery stenosis.

Main Results:

  • The prevalence of renovascular stenosis was found to be 12.4%.
  • Hypertension and diabetes were not statistically different between patients with and without renovascular stenosis.
  • Age, diabetes, hypertension, and urea levels were identified as independent predictors of renal artery stenosis; sex and serum creatinine were not associated.

Conclusions:

  • A significant prevalence of unsuspected renovascular abnormalities exists in patients undergoing angiography for cardiovascular disease.
  • Age, diabetes, hypertension, and urea levels serve as potential clinical predictors for renal artery stenosis.
  • Routine visualization of renal arteries during coronary angiography is recommended for early detection and management.
Abstract

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