ADVANCIS score predicts acute kidney injury after percutaneous coronary intervention for acute coronary syndrome

Pei Chun Fan, Tien Hsing Chen, Cheng Chia Lee, Tsung Yu Tsai, Yung Chang Chen, Chih Hsiang Chang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

23 Scopus citations

Abstract

Acute kidney injury (AKI), a common and crucial complication of acute coronary syndrome (ACS) after receiving percutaneous coronary intervention (PCI), is associated with increased mortality and adverse outcomes. This study aimed to develop and validate a risk prediction model for incident AKI after PCI for ACS. We included 82,186 patients admitted for ACS and receiving PCI between 1997 and 2011 from the Taiwan National Health Insurance Research Database and randomly divided them into a training cohort (n = 57,630) and validation cohort (n = 24,656) for risk model development and validation, respectively. Risk factor analysis revealed that age, diabetes mellitus, ventilator use, prior AKI, number of intervened vessels, chronic kidney disease (CKD), intra-aortic balloon pump (IABP) use, cardiogenic shock, female sex, prior stroke, peripheral arterial disease, hypertension, and heart failure were significant risk factors for incident AKI after PCI for ACS. The reduced model, ADVANCIS, comprised 8 clinical parameters (age, diabetes mellitus, ventilator use, prior AKI, number of intervened vessels, CKD, IABP use, cardiogenic shock), with a score scale ranging from 0 to 22, and performed comparably with the full model (area under the receiver operating characteristic curve, 87.4% vs 87.9%). An ADVANCIS score of ≥6 was associated with higher in-hospital mortality risk. In conclusion, the ADVANCIS score is a novel, simple, robust tool for predicting the risk of incident AKI after PCI for ACS, and it can aid in risk stratification to monitor patient care.

Original languageEnglish
Pages (from-to)528-535
Number of pages8
JournalInternational Journal of Medical Sciences
Volume15
Issue number5
DOIs
StatePublished - 08 03 2018

Bibliographical note

Publisher Copyright:
© Ivyspring International Publisher.

Keywords

  • Acute coronary syndrome
  • Acute kidney injury
  • Mortality
  • Percutaneous coronary intervention
  • Prediction model

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