Comparative analysis of four established risk scores for predicting contrast induced acute kidney injury after

Rajesh Kumar1, Kamran Ahmed Khan1, Lajpat Rai2

  • 1National Institute of Cardiovascular Diseases (NICVD), Karachi, Pakistan.

Insights

The Mehran Risk Score (MRS) better predicts contrast-induced acute kidney injury (CI-AKI) after primary percutaneous coronary intervention (PCI) than other scores. The Thrombolysis in Myocardial Infarction risk index (TRI) offers high sensitivity for identifying high-risk patients.

Area of Science:

  • Cardiology
  • Nephrology
  • Medical Risk Stratification

Background:

  • Contrast-induced acute kidney injury (CI-AKI) is a frequent complication following primary percutaneous coronary intervention (PCI).
  • CI-AKI is associated with adverse patient prognosis and increased healthcare burden.

Purpose of the Study:

  • To compare the predictive performance of the Mehran Risk Score (MRS) against established scores: CHA2DS2-VASc, Canada Acute Coronary Syndrome Risk Score (C-ACS), and Thrombolysis in Myocardial Infarction risk index (TRI).
  • To evaluate these scores for predicting CI-AKI in patients undergoing primary PCI.

Main Methods:

  • A cohort of consecutive patients undergoing primary PCI were assessed.
  • Exclusion criteria included pre-existing chronic kidney disease, recent contrast exposure, and Killip class IV.
  • MRS, CHA2DS2-VASc, C-ACS, and TRI scores were calculated; CI-AKI was defined by serum creatinine increase.

Main Results:

  • CI-AKI occurred in 9.1% of 691 patients post-PCI.
  • The Mehran Risk Score (MRS) demonstrated the highest predictive accuracy (AUC 0.745).
  • The Thrombolysis in Myocardial Infarction risk index (TRI) showed high sensitivity (87.3%) for detecting high-risk patients.

Conclusions:

  • The Mehran Risk Score (MRS) exhibits superior discriminative power for CI-AKI prediction post-primary PCI compared to CHA2DS2-VASc, C-ACS, and TRI.
  • Despite lower overall discrimination, the TRI's simplicity and high sensitivity make it valuable for identifying patients at elevated risk of CI-AKI.
Abstract

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