Clin Nephrol. 2021 Oct 4. doi: 10.5414/CN110273. Online ahead of print.
ABSTRACT
BACKGROUND: Iodinated contrast medium exposure is associated with acute kidney injury (AKI). Patients with severe contrast-induced AKI (CI-AKI) may need renal replacement therapy (RRT). Prediction models exist for CI-AKI, but few need RRT. We aimed to establish a preprocedural score model to stratify patients at risk of unplanned postprocedural RRT following invasive coronary angiography (ICA) or percutaneous coronary intervention (PCI).
METHODS AND RESULTS: Between January 2010 and December 2015, a series of 3,469 patients were randomly divided into two cohorts at a 2 : 1 ratio for model development and validation, respectively. A total of 36 patients (1.0%) needed unplanned postprocedural RRT following ICA and/or PCI. Multivariable logistic regression was used to build the risk model. C-statistic and Hosmer-Lemeshow tests were used to evaluate the performance of the model. Five preprocedural variables – independently associated with unplanned postprocedural RRT – were identified as factors of the risk score model with different scores: age > 75 years (1), serum creatinine level ≥ 1.5 mg/dL (1), diabetes mellitus (1), hypotension (2), and acute myocardial infarction (2). The risk score model was demonstrated with high discrimination (C-statistic = 0.872) and goodness of fit (χ2 = 3.769, p = 0.438). Furthermore, the model allowed a hierarchical classification of low, intermediate, and high risk, within which the observed unplanned RRT rates were ~ 0.4, 3.0, and 20.0%, respectively.
CONCLUSION: Using preprocedural variables, we developed and validated a risk model for unplanned postprocedural RRT following ICA and/or PCI.
PMID:34605397 | DOI:10.5414/CN110273
