{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T12:08:40Z","timestamp":1790424520443,"version":"4.1.0"},"reference-count":30,"publisher":"American Medical Association (AMA)","issue":"11","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"DOI":"10.1001\/jamanetworkopen.2019.16021","type":"journal-article","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T16:31:17Z","timestamp":1574440277000},"page":"e1916021","source":"Crossref","is-referenced-by-count":39,"title":["Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention"],"prefix":"10.1001","volume":"2","author":[{"given":"Chenxi","family":"Huang","sequence":"first","affiliation":[{"name":"Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu-Xia","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiwani","family":"Mahajan","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut"},{"name":"Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey M.","family":"Testani","sequence":"additional","affiliation":[{"name":"Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francis P.","family":"Wilson","sequence":"additional","affiliation":[{"name":"Program of Applied Translational Research, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos I.","family":"Mena","sequence":"additional","affiliation":[{"name":"Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frederick A.","family":"Masoudi","sequence":"additional","affiliation":[{"name":"Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John S.","family":"Rumsfeld","sequence":"additional","affiliation":[{"name":"Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John A.","family":"Spertus","sequence":"additional","affiliation":[{"name":"Saint Luke\u2019s Mid America Heart Institute, Department of Cardiology, University of Missouri, Kansas City"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bobak J.","family":"Mortazavi","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Texas A&M University, College Station"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harlan M.","family":"Krumholz","sequence":"additional","affiliation":[{"name":"Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut"},{"name":"Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut"},{"name":"Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2019,11,22]]},"reference":[{"issue":"6","key":"zoi190611r1","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.114.001380","article-title":"Validated contemporary risk model of acute kidney injury in patients undergoing percutaneous coronary interventions: insights from the National Cardiovascular Data Registry Cath-PCI Registry.","volume":"3","author":"Tsai","year":"2014","journal-title":"J Am Heart Assoc"},{"issue":"9","key":"zoi190611r2","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1001\/jamacardio.2017.2156","article-title":"Association of variation in contrast volume with acute kidney injury in patients undergoing percutaneous coronary intervention.","volume":"2","author":"Amin","year":"2017","journal-title":"JAMA Cardiol"},{"issue":"6 Pt 1","key":"zoi190611r3","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/0002-9343(89)90437-3","article-title":"Dosing of contrast material to prevent contrast nephropathy in patients with renal disease.","volume":"86","author":"Cigarroa","year":"1989","journal-title":"Am J Med"},{"issue":"10","key":"zoi190611r4","doi-asserted-by":"publisher","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"},{"issue":"4","key":"zoi190611r5","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1161\/CIRCINTERVENTIONS.109.910638","article-title":"Does safe dosing of iodinated contrast prevent contrast-induced acute kidney injury?","volume":"3","author":"Brown","year":"2010","journal-title":"Circ Cardiovasc Interv"},{"issue":"1","key":"zoi190611r6","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1002\/ccd.23048","article-title":"Contrast medium volume to creatinine clearance ratio: a predictor of contrast-induced nephropathy in the first 72 hours following percutaneous coronary intervention.","volume":"79","author":"Tan","year":"2012","journal-title":"Catheter Cardiovasc Interv"},{"issue":"2","key":"zoi190611r7","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.ahj.2007.10.007","article-title":"Serious renal dysfunction after percutaneous coronary interventions can be predicted.","volume":"155","author":"Brown","year":"2008","journal-title":"Am Heart J"},{"issue":"11","key":"zoi190611r8","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1002703","article-title":"Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: a retrospective cohort study.","volume":"15","author":"Huang","year":"2018","journal-title":"PLoS Med"},{"issue":"2","key":"zoi190611r9","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/S0735-1097(96)00545-1","article-title":"The American College of Cardiology National Database: progress and challenges.","volume":"29","author":"Weintraub","year":"1997","journal-title":"J Am Coll Cardiol"},{"issue":"8","key":"zoi190611r10","doi-asserted-by":"publisher","first-page":"2240","DOI":"10.1016\/S0735-1097(01)01372-9","article-title":"The American College of Cardiology-National Cardiovascular Data Registry (ACC-NCDR): building a national clinical data repository.","volume":"37","author":"Brindis","year":"2001","journal-title":"J Am Coll Cardiol"},{"issue":"2","key":"zoi190611r11","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.ccc.2016.12.008","article-title":"Perioperative acute kidney injury: risk factors and predictive strategies.","volume":"33","author":"Hobson","year":"2017","journal-title":"Crit Care Clin"},{"issue":"1","key":"zoi190611r12","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1111\/rssb.2006.68.issue-1","article-title":"Model selection and estimation in regression with grouped variables.","volume":"68","author":"Yuan","year":"2006","journal-title":"J R Stat Soc Series B Stat Methodol"},{"issue":"3","key":"zoi190611r13","first-page":"299","article-title":"Acute kidney injury based on KDIGO (Kidney Disease Improving Global Outcomes) criteria in patients with elevated baseline serum creatinine undergoing cardiac surgery.","volume":"29","author":"Machado","year":"2014","journal-title":"Rev Bras Cir Cardiovasc"},{"issue":"3","key":"zoi190611r14","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1054\/jcaf.2002.125289","article-title":"The prognostic importance of different definitions of worsening renal function in congestive heart failure.","volume":"8","author":"Gottlieb","year":"2002","journal-title":"J Card Fail"},{"issue":"1","key":"zoi190611r15","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1054\/jcaf.2003.3","article-title":"Worsening renal function: what is a clinically meaningful change in creatinine during hospitalization with heart failure?","volume":"9","author":"Smith","year":"2003","journal-title":"J Card Fail"},{"issue":"1","key":"zoi190611r16","doi-asserted-by":"publisher","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"},{"issue":"3","key":"zoi190611r17","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1214\/ss\/1177013604","article-title":"Generalized additive models.","volume":"1","author":"Hastie","year":"1986","journal-title":"Stat Sci"},{"issue":"4","key":"zoi190611r20","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1016\/j.ahj.2012.12.017","article-title":"Use of the contrast volume or grams of iodine-to-creatinine clearance ratio to predict mortality after percutaneous coronary intervention.","volume":"165","author":"Tan","year":"2013","journal-title":"Am Heart J"},{"issue":"12","key":"zoi190611r21","doi-asserted-by":"crossref","DOI":"10.1097\/MD.0000000000000615","article-title":"Safe contrast volumes for preventing contrast-induced nephropathy in elderly patients with relatively normal renal function during percutaneous coronary intervention.","volume":"94","author":"Liu","year":"2015","journal-title":"Medicine (Baltimore)"},{"issue":"7","key":"zoi190611r22","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1016\/j.jacc.2007.03.058","article-title":"Volume-to-creatinine clearance ratio: a pharmacokinetically based risk factor for prediction of early creatinine increase after percutaneous coronary intervention.","volume":"50","author":"Laskey","year":"2007","journal-title":"J Am Coll Cardiol"},{"issue":"2","key":"zoi190611r23","doi-asserted-by":"publisher","first-page":"R31","DOI":"10.1186\/cc5713","article-title":"Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury.","volume":"11","author":"Mehta","year":"2007","journal-title":"Crit Care"},{"issue":"5","key":"zoi190611r24","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1177\/039139880502800503","article-title":"The 3rd International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI).","volume":"28","author":"Kellum","year":"2005","journal-title":"Int J Artif Organs"},{"issue":"5","key":"zoi190611r25","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.1016\/S0735-1097(00)00917-7","article-title":"The prognostic implications of further renal function deterioration within 48 h of interventional coronary procedures in patients with pre-existent chronic renal insufficiency.","volume":"36","author":"Gruberg","year":"2000","journal-title":"J Am Coll Cardiol"},{"issue":"9","key":"zoi190611r26","doi-asserted-by":"publisher","first-page":"1780","DOI":"10.1016\/j.jacc.2004.07.043","article-title":"Contrast-induced nephropathy in patients undergoing primary angioplasty for acute myocardial infarction.","volume":"44","author":"Marenzi","year":"2004","journal-title":"J Am Coll Cardiol"},{"issue":"12","key":"zoi190611r27","doi-asserted-by":"publisher","first-page":"1515","DOI":"10.1016\/j.amjcard.2004.03.008","article-title":"Impact of nephropathy after percutaneous coronary intervention and a method for risk stratification.","volume":"93","author":"Bartholomew","year":"2004","journal-title":"Am J Cardiol"},{"issue":"5","key":"zoi190611r28","doi-asserted-by":"publisher","first-page":"829","DOI":"10.1016\/j.ahj.2012.02.011","article-title":"The changing definition of contrast-induced nephropathy and its clinical implications: insights from the Blue Cross Blue Shield of Michigan Cardiovascular Consortium (BMC2).","volume":"163","author":"Slocum","year":"2012","journal-title":"Am Heart J"},{"issue":"1","key":"zoi190611r30","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.jclinepi.2007.04.018","article-title":"Updating methods improved the performance of a clinical prediction model in new patients.","volume":"61","author":"Janssen","year":"2008","journal-title":"J Clin Epidemiol"},{"key":"zoi190611r19","doi-asserted-by":"crossref","DOI":"10.1201\/9781315370279","volume-title":"Generalized Additive Models: An Introduction with R","author":"Wood","year":"2017","edition":"2nd ed"},{"key":"zoi190611r29","volume-title":"Healthcare Risk Adjustment and Predictive Modeling","author":"Duncan","year":"2011"},{"key":"zoi190611r18","unstructured":"R Core Team. The R project for statistical computing. http:\/\/www.R-project.org\/. Accessed March 26, 2018."}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2755869\/huang_2019_oi_190611.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T16:31:21Z","timestamp":1574440281000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2755869"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,22]]},"references-count":30,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2019,11,1]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2019.16021","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,22]]}}}