日本語フィールド
著者：Goriki Y, Tanaka A, Nishihira K, Kuriyama N, Shibata Y, Node K題名：A novel prediction model of acute kidney injury based on combined blood variables in STEMI発表情報：JACC Asia 巻: 1 号: 3 ページ: 372-381キーワード：概要：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.抄録：英語フィールド
Author：Goriki Y, Tanaka A, Nishihira K, Kuriyama N, Shibata Y, Node KTitle：A novel prediction model of acute kidney injury based on combined blood variables in STEMIAnnouncement information:JACC Asia Vol: 1 Issue: 3 Page: 372-381An 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.