ArticleHeart and vessels2021
Association of decreasing hemoglobin levels with the incidence of acute kidney injury after percutaneous coronary intervention: a prospective multi-center study.
Article in Heart and vessels, 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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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Predictive performance of machine learning models for kidney complications following coronary interventions: a systematic review and meta-analysis.International urology and nephrology · 2025Pooled it
- Association between in-hospital hemoglobin drop without overt bleeding and 1-year outcome of percutaneous coronary intervention in acute myocardial infarction patients.Scientific reports · 2025Article
- A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study.Journal of medical Internet research · 2024Article
- Accuracy of machine learning in predicting outcomes post-percutaneous coronary intervention: a systematic review.AsiaIntervention · 2024Article
- Long-term outcomes of periprocedural coronary dissection and perforation for patients undergoing percutaneous coronary intervention in a Japanese multicenter registry.Scientific reports · 2023Article
- Prediction of Acute Kidney Injury in Intracerebral Hemorrhage Patients Using Machine Learning.Neuropsychiatric disease and treatment · 2023Article
- Article
- Machine learning prediction model of acute kidney injury after percutaneous coronary intervention.Scientific reports · 2022Article
- Association of the Hemoglobin to Serum Creatinine Ratio with In-Hospital Adverse Outcomes after Percutaneous Coronary Intervention among Non-Dialysis Patients: Insights from a Japanese Nationwide Registry (J-PCI Registry).Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
Acute kidney injury (AKI) is common in patients undergoing percutaneous coronary intervention (PCI). One risk factor for AKI is periprocedural hemoglobin drop level (> 3 g/dL); however, whether the relationship between hemoglobin drop and AKI is linear or nonlinear remains unknown. We aimed to investigate the relationship between periprocedural hemoglobin drop and AKI after PCI. We evaluated 14,273 consecutive patients undergoing PCI between September 2008 and March 2019. AKI was defined as an absolute or a relative increase in serum creatinine level of 0.3 mg/dL or 50%, respectively. Restricted cubic spline was constructed to assess the association between hemoglobin drop and AKI by logistic regression and machine learning (ML) models, which were used to predict the risk of AKI. The patients' mean age was 68.4 ± 11.6 years; the AKI incidence was 10.5% (N = 1499). An absolute > 3 g/dL or 20% relative decrease in hemoglobin level was an independent predictor of AKI incidence (odds ratio, OR [95% confidence interval, CI]: 2.24 [1.92-2.61], P < 0.001; 2.35 [2.04-2.71], P < 0.001, respectively). An adjusted restricted cubic spline demonstrated that absolute/relative decrease in hemoglobin was linearly associated with AKI. Logistic and ML models with absolute/relative hemoglobin changes were comparable while estimating the risk of AKI (absolute area under the curve [AUC] (logistic):0.826, AUC (ML): 0.820; relative AUC (logistic): 0.818, AUC (ML): 0.816). An absolute/relative decrease in periprocedural hemoglobin after PCI was linearly associated with AKI. Detection of a relative/absolute decrease in hemoglobin may help clinicians identify individuals as high risk for AKI after PCI.
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