{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:02:08Z","timestamp":1777633328046,"version":"3.51.4"},"reference-count":30,"publisher":"Cambridge University Press (CUP)","issue":"7","license":[{"start":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T00:00:00Z","timestamp":1589500800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Infect. Control Hosp. Epidemiol."],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec id=\"S0899823X20001531_as1\"><jats:title>Objective:<\/jats:title><jats:p>The primary study aim was to describe all direct healthcare costs associated with<jats:italic>Clostridioides difficile<\/jats:italic>infection (CDI), both in and out of the hospital, in patients with hematologic malignancies in the United States.<\/jats:p><\/jats:sec><jats:sec id=\"S0899823X20001531_as2\"><jats:title>Design:<\/jats:title><jats:p>A retrospective analysis was conducted utilizing data from US databases of Truven Health Analytics.<\/jats:p><\/jats:sec><jats:sec id=\"S0899823X20001531_as3\"><jats:title>Patients:<\/jats:title><jats:p>We analyzed health insurance claims between January 2014 and December 2017 of patients diagnosed with hematological cancer: acute myeloid leukemia (AML), acute lymphoblastic leukemia, Hodgkin\u2019s lymphoma, and non-Hodgkin\u2019s lymphoma (NHL).<\/jats:p><\/jats:sec><jats:sec id=\"S0899823X20001531_as4\"><jats:title>Methods:<\/jats:title><jats:p>Patients with CDI after cancer diagnosis (CDI+, cases) were matched with patients without CDI reported (CDI\u2212, controls). Matched cases and controls were compared to identify the CDI-associated costs in the 90 days following the onset of CDI.<\/jats:p><\/jats:sec><jats:sec id=\"S0899823X20001531_as5\"><jats:title>Results:<\/jats:title><jats:p>We matched 622 CDI+ patients with 11,111 CDI\u2212 patients. NHL (41.7%) and AML (30.9%) were the predominant underlying diseases in the CDI+ groups. During study period, the average time in-hospital of CDI+ patients was 23.1 days longer than for CDI\u2212 patients (<jats:italic>P<\/jats:italic>&lt; 2\u00d710<jats:sup>\u221216<\/jats:sup>). Overall, CDI onset increased costs of care by an average of US$57,159 per patient (<jats:italic>P<\/jats:italic>= 6\u00d710<jats:sup>\u221212<\/jats:sup>), mainly driven by hospital costs.<\/jats:p><\/jats:sec><jats:sec id=\"S0899823X20001531_as6\"><jats:title>Conclusions:<\/jats:title><jats:p>This study confirms the significant economic burden associated with CDI in the United States, especially in patients with hematological malignancies. These findings highlight the need for prevention of CDI in this specific patient population.<\/jats:p><\/jats:sec>","DOI":"10.1017\/ice.2020.153","type":"journal-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T06:32:58Z","timestamp":1589524378000},"page":"813-819","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":7,"title":["The economic burden of<i>Clostridioides difficile<\/i>infection in patients with hematological malignancies in the United States: A case-control study"],"prefix":"10.1017","volume":"41","author":[{"given":"Lola","family":"Duhalde","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lise","family":"Lurienne","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian M.","family":"Wingen-Heimann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucien","family":"Guillou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renaud","family":"Buffet","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre-Alain","family":"Bandinelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2020,5,15]]},"reference":[{"key":"S0899823X20001531_ref14","first-page":"e4391","article-title":"Risk, outcomes, and trends of Clostridium difficile infection in multiple myeloma patients from a nationwide analysis","volume":"11","author":"Ran-Castillo","year":"2019","journal-title":"Cureus"},{"key":"S0899823X20001531_ref9","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.jhin.2019.01.020","article-title":"Burden of Clostridium (Clostridioides) difficile infection during inpatient stays in the USA between 2012 and 2016","volume":"102","author":"Mollard","journal-title":"J Hosp Infect 2019"},{"key":"S0899823X20001531_ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s15010-015-0810-x"},{"key":"S0899823X20001531_ref21","doi-asserted-by":"publisher","DOI":"10.21105\/joss.00648"},{"key":"S0899823X20001531_ref5","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0157839"},{"key":"S0899823X20001531_ref13","doi-asserted-by":"publisher","DOI":"10.1017\/ice.2015.54"},{"key":"S0899823X20001531_ref28","unstructured":"28. Healthcare-associated infections\u2014community interface (HAIC). Centers for Disease Control and Prevention website. https:\/\/www.cdc.gov\/hai\/eip\/cdiff-tracking.html. Published December 2013. Accessed December 30, 2019."},{"key":"S0899823X20001531_ref8","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-016-1610-3"},{"key":"S0899823X20001531_ref25","unstructured":"25. Ho, DE , Imai, K , King, G , Stuart, EA . MATCHIT: nonparametric preprocessing for parametric causal inference. Harvard website. https:\/\/r.iq.harvard.edu\/docs\/matchit\/2.4-20\/. Published October 24, 2011. Accessed August 9, 2019."},{"key":"S0899823X20001531_ref24","unstructured":"24. R-data table. Github website. https:\/\/github.com\/Rdatatable\/data.table\/wiki. Accessed August 9, 2019."},{"key":"S0899823X20001531_ref2","unstructured":"2. What is C. diff? Centers for Disease Control and Prevention website. https:\/\/www.cdc.gov\/cdiff\/what-is.html. Accessed August 2019."},{"key":"S0899823X20001531_ref20","doi-asserted-by":"publisher","DOI":"10.1097\/01.mlr.0000182534.19832.83"},{"key":"S0899823X20001531_ref17","unstructured":"17. IBM MarketScan Research Databases. https:\/\/www.ibm.com\/us-en\/marketplace\/marketscan-research-databases. Accessed December 30, 2019."},{"key":"S0899823X20001531_ref27","article-title":"Excess burden associated with Clostridioides difficile infection in haematological patients occurring during hospitalization with induction chemotherapy in the United States","author":"Duhalde","year":"2019","journal-title":"J Hosp Infect"},{"key":"S0899823X20001531_ref4","doi-asserted-by":"publisher","DOI":"10.1017\/ice.2017.48"},{"key":"S0899823X20001531_ref10","doi-asserted-by":"publisher","DOI":"10.1017\/ice.2017.114"},{"key":"S0899823X20001531_ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajic.2018.09.027"},{"key":"S0899823X20001531_ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jval.2012.03.1289"},{"key":"S0899823X20001531_ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.jval.2017.12.006"},{"key":"S0899823X20001531_ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.medmal.2017.10.010"},{"key":"S0899823X20001531_ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00277-009-0772-0"},{"key":"S0899823X20001531_ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbmt.2014.04.026"},{"key":"S0899823X20001531_ref23","unstructured":"23. 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All rights reserved.","name":"copyright","label":"Copyright","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}}]}}