ArticleJACC. Asia2021
A Novel Prediction Model of Acute Kidney Injury Based on Combined Blood Variables in STEMI.
Article in JACC. Asia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Risk prediction models for contrast-induced acute kidney injury in patients with acute coronary syndromes: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Interrelation between hypoxic liver injury and Killip classification in ST-segment elevation myocardial infarction patients.Frontiers in cardiovascular medicine · 2024Article
- Article
- Effects of mesencephalic astrocyte-derived neurotrophic factor on sepsis-associated acute kidney injury.World journal of emergency medicine · 2023Article
- Total Testosterone as a Specific Marker of Acute Kidney Injury in Male Patients With Myocardial Infarction.Cureus · 2022Article
- Development of a Laboratory Risk-Score Model to Predict One-Year Mortality in Acute Myocardial Infarction Survivors.Journal of clinical medicine · 2022Article
- Prognostic differences of catestatin among young and elderly patients with acute myocardial infarction.World journal of emergency medicine · 2022Article
- Optimal indicator for changing the filter during the continuous renal replacement therapy in intensive care unit patients with acute kidney injury: A crossover randomized trial.World journal of emergency medicine · 2022Article
- Early Detection of Acute Kidney Injury Can Further Improve the Prognosis of Acute Myocardial Infarction.JACC. Asia · 2021Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 m 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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