{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T01:26:15Z","timestamp":1793841975267,"version":"4.6.1"},"reference-count":29,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"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","journalofhospitalinfection.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Hospital Infection"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.jhin.2026.05.016","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T23:23:35Z","timestamp":1779319415000},"page":"127-134","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Machine learning\u2013based prediction of central line\u2013associated bloodstream infection in children with acute leukaemia"],"prefix":"10.1016","volume":"174","author":[{"given":"Y.","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y.","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Q.","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jhin.2026.05.016_bib1","doi-asserted-by":"crossref","first-page":"2256","DOI":"10.3390\/cancers13092256","article-title":"Etiology of acute leukemia: A review","volume":"13","author":"Tebbi","year":"2021","journal-title":"Cancers"},{"key":"10.1016\/j.jhin.2026.05.016_bib2","doi-asserted-by":"crossref","first-page":"2021","DOI":"10.3390\/cancers14082021","article-title":"Recent advances in treatment options for childhood acute lymphoblastic leukemia","volume":"14","author":"Malczewska","year":"2022","journal-title":"Cancers"},{"key":"10.1016\/j.jhin.2026.05.016_bib3","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1111\/wvn.12574","article-title":"Occurrence rate and risk factors for long-term central line-associated bloodstream infections in patients with cancer: A systematic review","volume":"19","author":"Belloni","year":"2022","journal-title":"Worldviews Evidence-Based Nurs"},{"key":"10.1016\/j.jhin.2026.05.016_bib4","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1111\/jgs.12634","article-title":"Effect of nosocomial bloodstream infections on mortality, length of stay, and hospital costs in older adults","volume":"62","author":"Kaye","year":"2014","journal-title":"J Am Geriatr Soc"},{"key":"10.1016\/j.jhin.2026.05.016_bib5","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1542\/peds.2013-3795","article-title":"Attributable cost and length of stay for central line\u2013associated bloodstream infections","volume":"133","author":"Goudie","year":"2014","journal-title":"Pediatrics"},{"key":"10.1016\/j.jhin.2026.05.016_bib6","doi-asserted-by":"crossref","first-page":"1399","DOI":"10.3111\/13696998.2013.842922","article-title":"Economic burden of healthcare-associated infection in US acute care hospitals: societal perspective","volume":"16","author":"Marchetti","year":"2013","journal-title":"J Med Econ"},{"key":"10.1016\/j.jhin.2026.05.016_bib7","doi-asserted-by":"crossref","first-page":"e600","DOI":"10.1097\/PEC.0000000000001835","article-title":"Development of a clinical prediction model for central line\u2013associated bloodstream infection in children presenting to the emergency department","volume":"36","author":"Figueroa-Phillips","year":"2020","journal-title":"Pediatr Emerg Care"},{"key":"10.1016\/j.jhin.2026.05.016_bib8","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.1017\/ice.2017.167","article-title":"A model to predict central-line\u2013associated bloodstream infection among patients with peripherally inserted central catheters: the mpc score","volume":"38","author":"Herc","year":"2017","journal-title":"Infect Control Hosp Epidemio"},{"key":"10.1016\/j.jhin.2026.05.016_bib9","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-01821-6","article-title":"Prediction of bloodstream infection using machine learning based primarily on biochemical data","volume":"15","author":"Marandi","year":"2025","journal-title":"Sci Rep"},{"key":"10.1016\/j.jhin.2026.05.016_bib10","doi-asserted-by":"crossref","first-page":"986","DOI":"10.1016\/j.ajic.2018.02.021","article-title":"Assessing patient risk of central line-associated bacteremia via machine learning","volume":"46","author":"Beeler","year":"2018","journal-title":"Am J Infect Control"},{"key":"10.1016\/j.jhin.2026.05.016_bib11","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"10.1016\/j.jhin.2026.05.016_bib12","series-title":"Guidelines for diagnosis and treatment of pediatric hematologic disorders","year":"2014"},{"key":"10.1016\/j.jhin.2026.05.016_bib13","first-page":"124","article-title":"Standard operating procedures for blood culture in clinical microbiology","volume":"27","author":"Xu","year":"2004","journal-title":"Zhonghua Jian Yan Yi Xue Za Zhi"},{"key":"10.1016\/j.jhin.2026.05.016_bib14","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.jclinepi.2019.02.004","article-title":"A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models","volume":"110","author":"Christodoulou","year":"2019","journal-title":"J Clini Epidemiol"},{"key":"10.1016\/j.jhin.2026.05.016_bib15","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.jclinepi.2021.06.024","article-title":"Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved","volume":"138","author":"Dhiman","year":"2021","journal-title":"J Clin Epidemiol"},{"key":"10.1016\/j.jhin.2026.05.016_bib16","doi-asserted-by":"crossref","first-page":"2901","DOI":"10.3390\/jcm10132901","article-title":"An artificial intelligence approach to bloodstream infections prediction","volume":"10","author":"Pai","year":"2021","journal-title":"J Clin Med"},{"key":"10.1016\/j.jhin.2026.05.016_bib17","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1038\/s41467-024-55629-5","article-title":"Development and validation of a real-time prediction model for acute kidney injury in hospitalized patients","volume":"16","author":"Zhang","year":"2025","journal-title":"Nat Commun"},{"key":"10.1016\/j.jhin.2026.05.016_bib18","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1186\/s13017-022-00449-5","article-title":"Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury","volume":"17","author":"Moyer","year":"2022","journal-title":"World J Emerg Surg"},{"key":"10.1016\/j.jhin.2026.05.016_bib19","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1038\/s41586-024-08328-6","article-title":"Accurate predictions on small data with a tabular foundation model","volume":"637","author":"Hollmann","year":"2025","journal-title":"Nature"},{"key":"10.1016\/j.jhin.2026.05.016_bib20","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1016\/j.ajic.2021.08.017","article-title":"Early prediction of central line associated bloodstream infection using machine learning","volume":"50","author":"Rahmani","year":"2022","journal-title":"Am J Infect Control"},{"key":"10.1016\/j.jhin.2026.05.016_bib21","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.jhin.2022.06.003","article-title":"Prediction of impending central-line-associated bloodstream infections in hospitalized cardiac patients: development and testing of a machine-learning model","volume":"127","author":"Bonello","year":"2022","journal-title":"J Hosp Infect"},{"key":"10.1016\/j.jhin.2026.05.016_bib22","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0282290","article-title":"Risk factors of catheter-associated bloodstream infection: Systematic review and meta-analysis","volume":"18","author":"Lafuente Cabrero","year":"2023","journal-title":"PLoS One"},{"key":"10.1016\/j.jhin.2026.05.016_bib23","doi-asserted-by":"crossref","first-page":"7429","DOI":"10.1038\/s41598-022-11576-z","article-title":"A prediction model for bacteremia and transfer to intensive care in pediatric and adolescent cancer patients with febrile neutropenia","volume":"12","author":"Alali","year":"2022","journal-title":"Sci Rep"},{"key":"10.1016\/j.jhin.2026.05.016_bib24","first-page":"e1071","article-title":"Adverse effects related to corticosteroid use in sepsis, acute respiratory distress syndrome, and community-acquired pneumonia: a systematic review and meta-analysis","volume":"6","author":"Chaudhuri","year":"2024","journal-title":"Crit Care Explor"},{"key":"10.1016\/j.jhin.2026.05.016_bib25","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1056\/NEJMoa1705716","article-title":"Hydrocortisone plus fludrocortisone for adults with septic shock","volume":"378","author":"Annane","year":"2018","journal-title":"New England J Med"},{"key":"10.1016\/j.jhin.2026.05.016_bib26","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1093\/annonc\/mdw557","article-title":"Infection-related complications during treatment for childhood acute lymphoblastic leukemia","volume":"28","author":"Inaba","year":"2017","journal-title":"Ann Oncol"},{"key":"10.1016\/j.jhin.2026.05.016_bib27","doi-asserted-by":"crossref","first-page":"5549","DOI":"10.3390\/cancers15235549","article-title":"Supportive care in pediatric oncology: opportunities and future directions","volume":"15","author":"Freedman","year":"2023","journal-title":"Cancers"},{"key":"10.1016\/j.jhin.2026.05.016_bib28","first-page":"1126","article-title":"Outcomes with intensive treatment for acute myeloid leukemia: an analysis of two decades of data from the harmony alliance","volume":"110","author":"Sobas","year":"2024","journal-title":"Haematologica"},{"key":"10.1016\/j.jhin.2026.05.016_bib29","doi-asserted-by":"crossref","first-page":"1155","DOI":"10.3390\/jpm14121155","article-title":"Corticosteroids in pediatric septic shock: A narrative review","volume":"14","author":"Rulli","year":"2024","journal-title":"J Pers Med"}],"container-title":["Journal of Hospital Infection"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0195670126001891?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0195670126001891?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T00:30:30Z","timestamp":1793838630000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0195670126001891"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":29,"alternative-id":["S0195670126001891"],"URL":"https:\/\/doi.org\/10.1016\/j.jhin.2026.05.016","relation":{},"ISSN":["0195-6701"],"issn-type":[{"value":"0195-6701","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning\u2013based prediction of central line\u2013associated bloodstream infection in children with acute leukaemia","name":"articletitle","label":"Article Title"},{"value":"Journal of Hospital Infection","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jhin.2026.05.016","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Healthcare Infection Society. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}