Yibo He1, Yuming Huang1,2, Junqing Yang1, Jin Liu1, Guoli Sun1, Feier Song1, Shiqun Chen1,2, Ning Tan1, Zhonghan Ni1, Yong Liu1, Jiyan Chen1. 1. Guangdong Cardiovascular Institute, Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital affiliated to South China University of Technology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China. 2. Department of Catheterization Lab, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510000, China.
Abstract
BACKGROUND: Acute drug reactions (ADRs) are common complications of contrast administration following cardiac catheterization. Serious reactions may be life threatening. However, few risk models for predicting ADRs exist. The study aims to develop a novel tool for predicting the risk of ADRs [occurring within 1 hour in patients undergoing coronary angiography or percutaneous coronary intervention (PCI)]. METHODS: A total of 17,139 consecutive patients included in the TRUST study were randomly (2:1) assigned to a development data set (n=11,426) or a validation data set (n=5,713). Multivariate logistic regression was applied to identify independent predictors of contrast-induced nephropathy (CIN), including age, contrast dose, premedication, and prehydration. The performance of our model was assessed using the c-statistic for discrimination and the Hosmer-Lemeshow test for calibration. RESULTS: The overall incidence of ADRs was 42 (0.37%) in the development data set: 0.09% in the low-risk category (score: 0-2), 0.36% in the moderate-risk category (score: 3-4), and 1.78% in the high-risk category (score ≥5). The risk score across the subgroup of the study population exhibited good discrimination and predictive ability for ADRs (c-statistic: 0.694). Meanwhile, the calibration was also demonstrated to be accurate by the Hosmer-Lemeshow goodness-of-fit test (P=0.305). CONCLUSIONS: Our data showed that our simple risk model showed good discrimination and predictive ability of ADRs following cardiac catheterization.
BACKGROUND: Acute drug reactions (ADRs) are common complications of contrast administration following cardiac catheterization. Serious reactions may be life threatening. However, few risk models for predicting ADRs exist. The study aims to develop a novel tool for predicting the risk of ADRs [occurring within 1 hour in patients undergoing coronary angiography or percutaneous coronary intervention (PCI)]. METHODS: A total of 17,139 consecutive patients included in the TRUST study were randomly (2:1) assigned to a development data set (n=11,426) or a validation data set (n=5,713). Multivariate logistic regression was applied to identify independent predictors of contrast-induced nephropathy (CIN), including age, contrast dose, premedication, and prehydration. The performance of our model was assessed using the c-statistic for discrimination and the Hosmer-Lemeshow test for calibration. RESULTS: The overall incidence of ADRs was 42 (0.37%) in the development data set: 0.09% in the low-risk category (score: 0-2), 0.36% in the moderate-risk category (score: 3-4), and 1.78% in the high-risk category (score ≥5). The risk score across the subgroup of the study population exhibited good discrimination and predictive ability for ADRs (c-statistic: 0.694). Meanwhile, the calibration was also demonstrated to be accurate by the Hosmer-Lemeshow goodness-of-fit test (P=0.305). CONCLUSIONS: Our data showed that our simple risk model showed good discrimination and predictive ability of ADRs following cardiac catheterization.
Authors: A G C Sutton; P Finn; P G Campbell; D J A Price; J A Hall; M J Stewart; A Davies; N J Linker; M A De Belder Journal: J Invasive Cardiol Date: 2003-03 Impact factor: 2.022
Authors: Roxana Mehran; Eve D Aymong; Eugenia Nikolsky; Zoran Lasic; Ioannis Iakovou; Martin Fahy; Gary S Mintz; Alexandra J Lansky; Jeffrey W Moses; Gregg W Stone; Martin B Leon; George Dangas Journal: J Am Coll Cardiol Date: 2004-10-06 Impact factor: 24.094
Authors: Manesh R Patel; Gregory J Dehmer; John W Hirshfeld; Peter K Smith; John A Spertus Journal: J Am Coll Cardiol Date: 2009-02-10 Impact factor: 24.094