{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:31:18Z","timestamp":1777901478077,"version":"3.51.4"},"reference-count":18,"publisher":"Elsevier BV","issue":"5","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","journal-of-cardiology.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Cardiology"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.jjcc.2025.12.012","type":"journal-article","created":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T08:02:12Z","timestamp":1766563332000},"page":"440-444","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["A simplified bedside model for prediction of acute kidney injury after percutaneous coronary intervention: CRASH score"],"prefix":"10.1016","volume":"87","author":[{"given":"Dinu V.","family":"Balanescu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaniz","family":"Fatema","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brad R.","family":"Lewis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patricia J.M.","family":"Best","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajiv","family":"Gulati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joerg","family":"Herrmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.jjcc.2025.12.012_bb0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jcin.2013.06.016","article-title":"Contemporary incidence, predictors, and outcomes of acute kidney injury in patients undergoing percutaneous coronary interventions: insights from the NCDR Cath-PCI registry","volume":"7","author":"Tsai","year":"2014","journal-title":"JACC Cardiovasc. Interv."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0010","doi-asserted-by":"crossref","first-page":"2294","DOI":"10.1016\/j.jcin.2023.07.041","article-title":"Contemporary methods for predicting acute kidney injury after coronary intervention","volume":"16","author":"Uzendu","year":"2023","journal-title":"JACC Cardiovasc. Interv."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0015","first-page":"409","article-title":"Acute renal failure requiring dialysis after percutaneous coronary interventions","volume":"52","author":"Gruberg","year":"2001","journal-title":"Catheter. Cardiovasc. Interv."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0020","doi-asserted-by":"crossref","first-page":"1068","DOI":"10.1016\/S0002-9149(02)02771-6","article-title":"Nephropathy requiring dialysis after percutaneous coronary intervention and the critical role of an adjusted contrast dose","volume":"90","author":"Freeman","year":"2002","journal-title":"Am. J. Cardiol."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0025","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1161\/01.CIR.0000016043.87291.33","article-title":"Incidence and prognostic importance of acute renal failure after percutaneous coronary intervention","volume":"105","author":"Rihal","year":"2002","journal-title":"Circulation"},{"key":"10.1016\/j.jjcc.2025.12.012_bb0030","first-page":"223","article-title":"Impact of acute kidney injury and baseline renal impairment on prognosis among patients undergoing percutaneous coronary intervention","volume":"36","author":"Jiang","year":"2020","journal-title":"Acta Cardiol Sin"},{"key":"10.1016\/j.jjcc.2025.12.012_bb0035","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jjcc.2024.12.006","article-title":"Contrast-associated acute kidney injury in patients with diabetes mellitus following elective percutaneous coronary intervention: insights from an iodixanol-acute kidney injury registry study","volume":"86","author":"Jiang","year":"2025","journal-title":"J. Cardiol."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0040","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCOUTCOMES.119.005854","article-title":"Comparative performance of prediction models for contrast-associated acute kidney injury after percutaneous coronary intervention","volume":"12","author":"Ma","year":"2019","journal-title":"Circ. Cardiovasc. Qual. Outcomes"},{"key":"10.1016\/j.jjcc.2025.12.012_bb0045","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.115.002136","article-title":"Acute kidney injury risk prediction in patients undergoing coronary angiography in a National Veterans Health Administration cohort with external validation","volume":"4","author":"Brown","year":"2015","journal-title":"J. Am. Heart Assoc."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0050","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1136\/heartjnl-2012-303379","article-title":"The NCDR CathPCI registry: a US national perspective on care and outcomes for percutaneous coronary intervention","volume":"99","author":"Moussa","year":"2013","journal-title":"Heart"},{"key":"10.1016\/j.jjcc.2025.12.012_bb0055","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.jjcc.2023.05.010","article-title":"Characteristics and short-term outcomes of outpatient and inpatient cardiac catheterizations: a descriptive study using a nationwide claim database in Japan","volume":"82","author":"Setogawa","year":"2023","journal-title":"J. Cardiol."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0060","doi-asserted-by":"crossref","first-page":"c179","DOI":"10.1159\/000339789","article-title":"KDIGO clinical practice guidelines for acute kidney injury","volume":"120","author":"Khwaja","year":"2012","journal-title":"Nephron Clin. Pract."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0065","doi-asserted-by":"crossref","first-page":"825","DOI":"10.7326\/0003-4819-158-11-201306040-00007","article-title":"Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline","volume":"158","author":"Stevens","year":"2013","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0070","doi-asserted-by":"crossref","first-page":"e147","DOI":"10.1016\/j.jacc.2013.05.019","article-title":"ACCF\/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation\/American Heart Association Task Force on Practice Guidelines","volume":"62","author":"Yancy","year":"2013","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0075","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1186\/s40001-024-01675-0","article-title":"Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach","volume":"29","author":"Behnoush","year":"2024","journal-title":"Eur. J. Med. Res."},{"key":"10.1016\/j.jjcc.2025.12.012_bb0080","doi-asserted-by":"crossref","first-page":"305","DOI":"10.36518\/2689-0216.1110","article-title":"Comparison of the performance of the NCDR CathPCI score and Mehran score to predict acute kidney injury post-percutaneous coronary intervention","volume":"1","author":"Nguyen","year":"2020","journal-title":"HCA Healthc J Med"},{"key":"10.1016\/j.jjcc.2025.12.012_bb0085","doi-asserted-by":"crossref","first-page":"1974","DOI":"10.1016\/S0140-6736(21)02326-6","article-title":"A contemporary simple risk score for prediction of contrast-associated acute kidney injury after percutaneous coronary intervention: derivation and validation from an observational registry","volume":"398","author":"Mehran","year":"2021","journal-title":"Lancet"},{"key":"10.1016\/j.jjcc.2025.12.012_bb0090","doi-asserted-by":"crossref","first-page":"6262","DOI":"10.1038\/s41598-022-10346-1","article-title":"Machine learning models for prediction of adverse events after percutaneous coronary intervention","volume":"12","author":"Niimi","year":"2022","journal-title":"Sci. Rep."}],"container-title":["Journal of Cardiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0914508725003119?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0914508725003119?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:02:26Z","timestamp":1777633346000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0914508725003119"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":18,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["S0914508725003119"],"URL":"https:\/\/doi.org\/10.1016\/j.jjcc.2025.12.012","relation":{},"ISSN":["0914-5087"],"issn-type":[{"value":"0914-5087","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A simplified bedside model for prediction of acute kidney injury after percutaneous coronary intervention: CRASH score","name":"articletitle","label":"Article Title"},{"value":"Journal of Cardiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jjcc.2025.12.012","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Japanese College of Cardiology. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}