Charlson Comorbidity Index predicts contrast-induced nephropathy following transcatheter aortic valve replacement

Murat Gök1, Alparslan Kurtul2, İrem B Bulburu1

  • 1Department of Cardiology, Faculty of Medicine, Trakya University, Edirne, Turkey.

Insights

The Charlson Comorbidity Index (CCI) can help predict contrast-induced nephropathy (CIN) in patients undergoing transcatheter aortic valve replacement (TAVR). Higher CCI scores are associated with an increased risk of developing CIN after TAVR.

Area of Science:

  • Cardiology
  • Nephrology
  • Medical Informatics

Background:

  • Transcatheter aortic valve replacement (TAVR) is a common procedure for severe aortic stenosis.
  • Contrast-induced nephropathy (CIN) is a risk following TAVR, necessitating predictive tools.
  • The Charlson Comorbidity Index (CCI) assesses patient comorbidities but its role in predicting CIN post-TAVR is unclear.

Purpose of the Study:

  • To evaluate the predictive value of the Charlson Comorbidity Index (CCI) for contrast-induced nephropathy (CIN) in patients undergoing TAVR.
  • To determine if CCI is an independent predictor of CIN after TAVR.

Main Methods:

  • A retrospective analysis of 118 patients who underwent TAVR between June 2013 and March 2023.
  • Calculation of the Charlson Comorbidity Index (CCI) for each patient.
  • Comparison of CCI scores between patients who developed CIN (CIN+) and those who did not (CIN-).

Main Results:

  • The mean CCI score in the study population was 4.83 ±1.32.
  • Patients who developed CIN had a significantly higher mean CCI score (5.80 ±1.15) compared to those without CIN (4.56 ±1.25, p < 0.001).
  • Multivariable analysis confirmed CCI as an independent predictor of CIN (OR = 1.845, p = 0.032) with an AUC of 0.766.

Conclusions:

  • The Charlson Comorbidity Index (CCI) is independently associated with contrast-induced nephropathy (CIN) development after TAVR.
  • CCI may serve as a valuable tool for predicting CIN in TAVR patients, potentially augmenting existing risk models.
Abstract

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