{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T13:47:03Z","timestamp":1783604823290,"version":"3.55.0"},"reference-count":37,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000133","name":"Agency for Healthcare Research and Quality","doi-asserted-by":"publisher","award":["R01HS027417"],"award-info":[{"award-number":["R01HS027417"]}],"id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","surgjournal.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Surgery"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.surg.2022.08.021","type":"journal-article","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T08:42:52Z","timestamp":1663663372000},"page":"1728-1732","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"title":["Development and validation of a model for surveillance of postoperative bleeding complications using structured electronic health records data"],"prefix":"10.1016","volume":"172","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2136-8010","authenticated-orcid":false,"given":"Adam R.","family":"Dyas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaxu","family":"Zhuang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2646-4252","authenticated-orcid":false,"given":"Robert A.","family":"Meguid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William G.","family":"Henderson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0954-1052","authenticated-orcid":false,"given":"Helen J.","family":"Madsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael R.","family":"Bronsert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8399-6330","authenticated-orcid":false,"given":"Kathryn L.","family":"Colborn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.surg.2022.08.021_bib1","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1097\/SLA.0000000000001669","article-title":"Surgical Risk Preoperative Assessment System (SURPAS): I. Parsimonious, clinically meaningful groups of postoperative complications by factor analysis","volume":"263","author":"Meguid","year":"2016","journal-title":"Ann Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib2","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1097\/SLA.0b013e3181e3e43f","article-title":"Operative blood loss, blood transfusion, and 30-day mortality in older patients after major noncardiac surgery","volume":"252","author":"Wu","year":"2010","journal-title":"Ann Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib3","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.amjmed.2015.10.012","article-title":"Association between anemia, bleeding, and transfusion with long-term mortality following noncardiac surgery","volume":"129","author":"Smilowitz","year":"2016","journal-title":"Am J Med"},{"key":"10.1016\/j.surg.2022.08.021_bib4","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1111\/j.1477-2574.2011.00319.x","article-title":"Post-hepatectomy haemorrhage: a definition and grading by the International Study Group of Liver Surgery (ISGLS)","volume":"13","author":"Rahbari","year":"2011","journal-title":"HPB (Oxford)"},{"key":"10.1016\/j.surg.2022.08.021_bib5","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1093\/icvts\/ivy285","article-title":"Do patients who require re-exploration for bleeding have inferior outcomes following cardiac surgery?","volume":"28","author":"Ali","year":"2019","journal-title":"Interact Cardiovasc Thorac Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib6","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1016\/S0022-5223(96)70380-X","article-title":"Reexploration for bleeding is a risk factor for adverse outcomes after cardiac operations","volume":"111","author":"Moulton","year":"1996","journal-title":"J\u00a0Thorac Cardiovasc Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib7","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1111\/j.1442-2050.2011.01304.x","article-title":"Patterns of operative mortality following esophagectomy","volume":"25","author":"Schieman","year":"2012","journal-title":"Dis Esophagus"},{"key":"10.1016\/j.surg.2022.08.021_bib8","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1016\/j.ejso.2014.03.020","article-title":"The delayed massive hemorrhage after gastrectomy in patients with gastric cancer: characteristics, management opinions and risk factors","volume":"40","author":"Song","year":"2014","journal-title":"Eur J Surg Oncol"},{"key":"10.1016\/j.surg.2022.08.021_bib9","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1111\/jgh.14560","article-title":"Intra-abdominal hemorrhage following 739 consecutive pancreaticoduodenectomy: risk factors and treatments","volume":"34","author":"Lu","year":"2019","journal-title":"J\u00a0Gastroenterol Hepatol"},{"key":"10.1016\/j.surg.2022.08.021_bib10","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1016\/j.cll.2020.08.013","article-title":"Blood banking and transfusion medicine challenges during the COVID-19 pandemic","volume":"40","author":"Ngo","year":"2020","journal-title":"Clin Lab Med"},{"key":"10.1016\/j.surg.2022.08.021_bib11","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1186\/1472-6963-11-135","article-title":"Impact of bleeding-related complications and\/or blood product transfusions on hospital costs in inpatient surgical patients","volume":"11","author":"Stokes","year":"2011","journal-title":"BMC Health Serv Res"},{"key":"10.1016\/j.surg.2022.08.021_bib12","doi-asserted-by":"crossref","first-page":"1966","DOI":"10.1016\/j.clinthera.2015.06.007","article-title":"Cost of bleeding in trauma and complex cardiac surgery","volume":"37","author":"Zbrozek","year":"2015","journal-title":"Clin Ther"},{"key":"10.1016\/j.surg.2022.08.021_bib13","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1016\/j.athoracsur.2019.11.019","article-title":"Bleeding After cardiac surgery is associated with an increase in the total cost of the hospital stay","volume":"109","author":"Newcomb","year":"2020","journal-title":"Ann Thorac Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib14","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/j.jamcollsurg.2013.07.385","article-title":"Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons","volume":"217","author":"Bilimoria","year":"2013","journal-title":"J\u00a0Am Coll Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib15","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1001\/jamasurg.2018.0504","article-title":"Practical guide to surgical data sets: Veterans Affairs Surgical Quality Improvement Program (VASQIP)","volume":"153","author":"Massarweh","year":"2018","journal-title":"JAMA Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib16","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1097\/SLA.0000000000001677","article-title":"Surgical Risk Preoperative Assessment System (SURPAS): II. Parsimonious risk models for postoperative adverse outcomes addressing need for laboratory variables and surgeon specialty-specific models","volume":"264","author":"Meguid","year":"2016","journal-title":"Ann Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib17","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1097\/SLA.0000000000001678","article-title":"Surgical Risk Preoperative Assessment System (SURPAS): III. Accurate preoperative prediction of 8 adverse outcomes using 8 predictor variables","volume":"264","author":"Meguid","year":"2016","journal-title":"Ann Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib18","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1016\/j.ajic.2018.05.011","article-title":"Identification of surgical site infections using electronic health record data","volume":"46","author":"Colborn","year":"2018","journal-title":"Am J Infect Control"},{"key":"10.1016\/j.surg.2022.08.021_bib19","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1093\/cid\/cit737","article-title":"Accuracy of administrative code data for the surveillance of healthcare-associated infections: a systematic review and meta-analysis","volume":"58","author":"Goto","year":"2014","journal-title":"Clin Infect Dis"},{"key":"10.1016\/j.surg.2022.08.021_bib20","first-page":"706","article-title":"Automated detection of postoperative surgical site infections using supervised methods with electronic health record data","volume":"216","author":"Hu","year":"2015","journal-title":"Stud Health Technol Inform"},{"key":"10.1016\/j.surg.2022.08.021_bib21","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1001\/jamasurg.2014.2891","article-title":"A\u00a0comparison of 2 surgical site infection monitoring systems","volume":"150","author":"Ju","year":"2015","journal-title":"JAMA Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib22","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1017\/ice.2015.122","article-title":"Natural language processing for real-time catheter-associated urinary tract infection surveillance: results of a pilot implementation trial","volume":"36","author":"Branch-Elliman","year":"2015","journal-title":"Infect Control Hosp Epidemiol"},{"key":"10.1016\/j.surg.2022.08.021_bib23","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1086\/661103","article-title":"An electronic catheter-associated urinary tract infection surveillance tool","volume":"32","author":"Choudhuri","year":"2011","journal-title":"Infect Control Hosp Epidemiol"},{"key":"10.1016\/j.surg.2022.08.021_bib24","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.ajic.2018.10.009","article-title":"Identification of urinary tract infections using electronic health record data","volume":"47","author":"Colborn","year":"2019","journal-title":"Am J Infect Control"},{"key":"10.1016\/j.surg.2022.08.021_bib25","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.1016\/j.surg.2018.05.008","article-title":"Autonomous detection, grading, and reporting of postoperative complications using natural language processing","volume":"164","author":"Selby","year":"2018","journal-title":"Surgery"},{"key":"10.1016\/j.surg.2022.08.021_bib26","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.amjsurg.2019.10.009","article-title":"Identification of postoperative complications using electronic health record data and machine learning","volume":"220","author":"Bronsert","year":"2020","journal-title":"Am J Surg"},{"key":"10.1016\/j.surg.2022.08.021_bib27","doi-asserted-by":"crossref","first-page":"1291","DOI":"10.1016\/j.ajic.2014.08.013","article-title":"Using clinical variables to guide surgical site infection detection: a novel surveillance strategy","volume":"42","author":"Branch-Elliman","year":"2014","journal-title":"Am J Infect Control"},{"key":"10.1016\/j.surg.2022.08.021_bib28","doi-asserted-by":"crossref","first-page":"S39","DOI":"10.1016\/j.jbi.2016.07.012","article-title":"Detecting the presence of an indwelling urinary catheter and urinary symptoms in hospitalized patients using natural language processing","volume":"71S","author":"Gundlapalli","year":"2017","journal-title":"J\u00a0Biomed Inform"},{"key":"10.1016\/j.surg.2022.08.021_bib29","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1016\/j.ajic.2015.02.019","article-title":"An electronic surveillance tool for catheter-associated urinary tract infection in intensive care units","volume":"43","author":"Hsu","year":"2015","journal-title":"Am J Infect Control"},{"key":"10.1016\/j.surg.2022.08.021_bib30","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1016\/S2213-2600(18)30300-X","article-title":"Machine learning for real-time prediction of complications in critical care: a retrospective study","volume":"6","author":"Meyer","year":"2018","journal-title":"Lancet Respir Med"},{"key":"10.1016\/j.surg.2022.08.021_bib31","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0175508","article-title":"Evaluating phecodes, clinical classification software, and ICD-9-CM codes for phenome-wide association studies in the electronic health record","volume":"12","author":"Wei","year":"2017","journal-title":"PLoS One"},{"key":"10.1016\/j.surg.2022.08.021_bib32","doi-asserted-by":"crossref","DOI":"10.2196\/14325","article-title":"Mapping ICD-10 and ICD-10-CM codes to phecodes: workflow development and initial evaluation","volume":"7","author":"Wu","year":"2019","journal-title":"JMIR Med Inform"},{"key":"10.1016\/j.surg.2022.08.021_bib33","doi-asserted-by":"crossref","first-page":"2055","DOI":"10.1214\/15-AOS1337","article-title":"Controlling the false discovery rate via knockoffs","volume":"43","author":"Barber","year":"2015","journal-title":"Ann Stat"},{"key":"10.1016\/j.surg.2022.08.021_bib34","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1111\/rssb.12265","article-title":"Panning for gold: \u201cmodel-X\u201d knockoffs for high dimensional controlled variable selection","volume":"80","author":"Candes","year":"2018","journal-title":"J\u00a0R Stat Soc Series B Stat Methodol"},{"key":"10.1016\/j.surg.2022.08.021_bib35","unstructured":"R Program for Statistical Computing. knockoff: The Knockoff Filter for Controlled Variable Selection [computer program] [cited 2021 Jan 12]. Available from https:\/\/cran.r-project.org\/web\/packages\/knockoff\/index.html"},{"key":"10.1016\/j.surg.2022.08.021_bib36","first-page":"1","article-title":"Regularization paths for generalized linear models via coordinate descent","volume":"33","author":"Friedman","year":"2010","journal-title":"J\u00a0Stat Softw"},{"key":"10.1016\/j.surg.2022.08.021_bib37","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1186\/1471-2105-12-77","article-title":"pROC: an open-source package for R and S+ to analyze and compare ROC curves","volume":"12","author":"Robin","year":"2011","journal-title":"BMC Bioinformatics"}],"container-title":["Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0039606022006158?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0039606022006158?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T11:03:23Z","timestamp":1758539003000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0039606022006158"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":37,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["S0039606022006158"],"URL":"https:\/\/doi.org\/10.1016\/j.surg.2022.08.021","relation":{},"ISSN":["0039-6060"],"issn-type":[{"value":"0039-6060","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Development and validation of a model for surveillance of postoperative bleeding complications using structured electronic health records data","name":"articletitle","label":"Article Title"},{"value":"Surgery","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.surg.2022.08.021","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}