International Journal of Medical Sciences

Impact factor
2.399

24 June 2018

ISSN 1449-1907 News feeds of published articles

Manuscript login | Account

Theranostics

Journal of Cancer

International Journal of Biological Sciences

Journal of Genomics

Journal of Bone and Joint Infection (JBJI)

Oncomedicine

Journal of Biomedicine

Nanotheranostics

PubMed Central Indexed in Journal Impact Factor

Int J Med Sci 2018; 15(5):528-535. doi:10.7150/ijms.23064

Research Paper

ADVANCIS Score Predicts Acute Kidney Injury After Percutaneous Coronary Intervention for Acute Coronary Syndrome

Pei-Chun Fan1,2,5*, Tien-Hsing Chen2,3*, Cheng-Chia Lee1,2,5, Tsung-Yu Tsai1,2,5, Yung-Chang Chen2,4, Chih-Hsiang Chang1,2,5✉

1. Department of Nephrology, Kidney Research Center, Chang Gung Memorial Hospital, Linkou Medical Center, Chang Gung University, No. 5 Fusing Street, Gueishan Dist., Taoyuan City 333, Taiwan (R.O.C.)
2. College of Medicine, Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
3. Department of Cardiology, Chang Gung Memorial Hospital, Keelung Branch, No. 222, Maijin Rd., Anle Dist., Keelung City 20401, Taiwan (R.O.C.)
4. Department of Nephrology, Chang Gung Memorial Hospital, Keelung Branch, No. 222, Maijin Rd., Anle Dist., Keelung City 20401, Taiwan (R.O.C.)
5. Graduate Institute of Clinical Medical Sciences, Chang Gung University, No.259, Wenhua 1st Rd., Guishan Dist., Taoyuan City 33302, Taiwan (R.O.C.)
* Pei-Chun Fan and Tien-Hsing Chen contributed equally to this manuscript

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.

Keywords: Acute kidney injury, Acute coronary syndrome, Percutaneous coronary intervention, Mortality, Prediction model

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
How to cite this article:
Fan PC, Chen TH, Lee CC, Tsai TY, Chen YC, Chang CH. ADVANCIS Score Predicts Acute Kidney Injury After Percutaneous Coronary Intervention for Acute Coronary Syndrome. Int J Med Sci 2018; 15(5):528-535. doi:10.7150/ijms.23064. Available from http://www.medsci.org/v15p0528.htm