Goriki Y, Tanaka A, Nishihira K, Kuriyama N, Shibata Y, Node K. A Novel Prediction Model of Acute Kidney Injury Based on Combined Blood Variables in STEMI.
JACC Asia 2021;
1:372-381. [PMID:
36341223 PMCID:
PMC9627908 DOI:
10.1016/j.jacasi.2021.07.013]
[Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/26/2021] [Accepted: 07/28/2021] [Indexed: 05/03/2023]
Abstract
BACKGROUND
Development of acute kidney injury (AKI) is associated with poor prognosis in patients with ST-segment elevation myocardial infarction (STEMI).
OBJECTIVE
This study sought to investigate whether a combination of pre-procedural blood tests could predict the incidence of AKI in patients with STEMI.
METHODS
A total of 908 consecutive Japanese patients with STEMI who underwent primary percutaneous coronary intervention within 48 hours of symptom onset were recruited and divided into derivation (n = 617) and validation (n = 291) cohorts. A risk score model was created based on a combination of parameters assessed on routine blood tests on admission.
RESULTS
In the derivation cohort, multivariate analysis showed that the following 4 variables were significantly associated with AKI: blood sugar ≥200 mg/dL (odds ratio [OR]: 2.07), high-sensitivity troponin I >1.6 ng/mL (upper limit of normal ×50) (OR: 2.43), albumin ≤3.5 mg/dL (OR: 2.85), and estimated glomerular filtration rate <45 mL/min/1.73 m2 (OR: 2.64). Zero to 4 points were given according to the number of those factors. Incremental risk scores were significantly associated with a higher incidence of AKI in both cohorts (P < 0.001). Receiver-operating characteristic curve analysis of risk models showed adequate discrimination between patients with and without AKI (derivation cohort, area under the curve: 0.754; 95% confidence interval: 0.733-0.846; validation cohort, area under the curve: 0.754; 95% confidence interval: 0.644-0.839).
CONCLUSIONS
Our novel laboratory-based model might be useful for early prediction of the post-procedural risk of AKI in patients with STEMI.
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