ArticleScientific reports2018
Development and Validation of Nomogram to Predict Acute Kidney Injury in Patients with Acute Myocardial Infarction Treated Invasively.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- 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
- Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.JAMA network open · 2023Pooled it
- Brain Natriuretic Peptide for Predicting Contrast-Induced Acute Kidney Injury in Patients with Acute Coronary Syndrome Undergoing Coronary Angiography: A Systematic Review and Meta-Analysis.Journal of interventional cardiology · 2020Pooled it
- Predicting pre- and post-operative acute kidney injury in elderly patients with coronary artery disease.Heliyon · 2024Article
- Association between triglyceride glucose and acute kidney injury in patients with acute myocardial infarction: a propensity score‑matched analysis.BMC cardiovascular disorders · 2024Article
- Nomogram to predict 6-month mortality in acute ischemic stroke patients treated with endovascular treatment.Frontiers in neurology · 2023Article
- A New Scoring System for Predicting Ventricular Arrhythmia Risk in Patients with Acute Myocardial Infarction.Clinical interventions in aging · 2023Article
- Article
- An Online Pre-procedural Nomogram for the Prediction of Contrast-Associated Acute Kidney Injury in Patients Undergoing Coronary Angiography.Frontiers in medicine · 2022Article
- Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases.Frontiers in cardiovascular medicine · 2022Article
- A Novel Prediction Model of Acute Kidney Injury Based on Combined Blood Variables in STEMI.JACC. Asia · 2021Article
- A nomogram incorporating functional and tubular damage biomarkers to predict the risk of acute kidney injury for septic patients.BMC nephrology · 2021Article
- Development and Validation of Nomogram to Predict Long-Term Prognosis of Critically Ill Patients with Acute Myocardial Infarction.International journal of general medicine · 2021Article
- Development and Validation of a Nomogram for Predicting Drug-Induced Acute Kidney Injury in Hospitalized Patients: A Case-Control Study Based on Propensity-Score Matching.Frontiers in pharmacology · 2021Article
- Article
- Log-transformed B-type natriuretic peptide as a prognostic predictor in patients undergoing cardiovascular surgery.The Journal of international medical research · 2018Observational
- Mehran 2 Contrast-Associated Acute Kidney Injury Risk Score: Is it Applicable to the Asian Percutaneous Coronary Intervention Population?Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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11 authors.
Funding
Abstract
To identify patients who are likely to develop contrast-induced acute kidney injury (CI-AKI) in patients with acute myocardial infarction (AMI), a nomogram was developed in AMI patients. Totally 920 patients with AMI were enrolled in our study. The discrimination and calibration of the model were validated. External validations were also carried out in a cohort of 386 AMI patients. Our results showed in the 920 eligible AMI patients, 114 patients (21.3%) developed CI-AKI in the derivation group (n = 534), while in the validation set (n = 386), 50 patients (13%) developed CI-AKI. CI-AKI model included the following six predictors: hemoglobin, contrast volume >100 ml, hypotension before procedure, eGFR, log BNP, and age. The area under the curve (AUC) was 0.775 (95% confidence interval [CI]: 0.732-0.819) in the derivation group and 0.715 (95% CI: 0.631-0.799) in the validation group. The Hosmer-Lemeshow test has a p value of 0.557, which confirms the model's goodness of fit. The AUC of the Mehran risk score was 0.556 (95% CI: 0.498-0.615) in the derivation group. The validated nomogram provided a useful predictive value for CI-AKI in patients with AMI.
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