Predictors of contrast-induced nephropathy in chronic total occlusion percutaneous coronary intervention

Yu-Sheng Lin1, Hsiu-Yu Fang, Hesham Hussein

  • 1Division of Cardiology, Chang Gung Memorial Hospital, Chiayi, Chang Gung Institute of Technology, Taipei, Taiwan.

Insights

High-risk patients undergoing percutaneous coronary intervention for chronic total occlusion (CTO PCI) face a significantly increased risk of contrast-induced nephropathy (CIN). Severe tortuosity of CTO lesions also predicts CIN development.

Area of Science:

  • Cardiology
  • Nephrology
  • Interventional Cardiology

Background:

  • Contrast-induced nephropathy (CIN) is a significant complication following percutaneous coronary intervention (PCI).
  • Limited data exists on CIN predictors specifically in chronic total occlusion (CTO) PCI procedures.
  • Understanding these predictors is crucial for patient risk stratification and management.

Purpose of the Study:

  • To identify predictors of CIN in patients undergoing CTO PCI.
  • To evaluate the impact of clinical variables, interventional techniques, and CTO lesion characteristics on renal function post-procedure.

Main Methods:

  • Retrospective analysis of 516 patients undergoing CTO PCI between January 2002 and December 2009.
  • CIN defined as serum creatinine increase ≥25% from baseline at 48-72 hours post-procedure.
  • Comparison of patient characteristics, Mehran score, lesion characteristics, and procedural details between CIN and non-CIN groups.

Main Results:

  • The overall incidence of CIN was 5.4% (28/516), with 0.4% requiring transient hemodialysis.
  • Mehran score high-risk (11-15) and very high-risk (≥16) groups showed significantly higher CIN rates (15.9% and 37.5%, respectively).
  • Severe tortuosity of CTO lesions was identified as an independent predictor of CIN (OR: 6.621, p=0.040).

Conclusions:

  • Mehran score categories of high-risk (11-15) and very high-risk (≥16) are significant predictors of CIN after CTO PCI.
  • Severe tortuosity in CTO lesions is also a key predictor of CIN.
  • These findings aid in identifying high-risk patients for targeted preventive strategies.
Abstract

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