{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T07:47:03Z","timestamp":1789199223366,"version":"build-2803163510"},"reference-count":21,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T00:00:00Z","timestamp":1741564800000},"content-version":"vor","delay-in-days":9,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Reports"],"published-print":{"date-parts":[[2025,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Infections impact morbidity and mortality in pediatric cancer patients, yet limited studies have assessed the microbiological profiles and susceptibility patterns of pathogenic bacteria in this population. This study aimed to investigate bacterial profiles and temporal resistance changes in pediatrics with cancer.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We identified positive cultures between January 2015 and December 2022 for pediatric patients diagnosed with cancer at age\u2009&lt;\u200918\u2009years. Electronic records provided patient demographics, microbiological profiles and resistance patterns. Using \u201cR\u201d programming, the dataset was refined, selecting patients' first isolate within a 30\u2010day period, and categorizing strains based on multidrug\u2010resistant (MDR) and extensively drug\u2010resistant (XDR) predefined criteria. Additionally, we analyzed changes in resistance patterns over the study period.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Out of 1215 patients, 2992 bacterial isolates were reported, with 66% being Gram\u2010negative bacteria. Urine was the most common site of infection, representing 48% of cases. Among these, 42% were MDR and 2% XDR. MDR prevalence was 45% for <jats:styled-content style=\"fixed-case\"><jats:italic>Escherichia coli<\/jats:italic><\/jats:styled-content>, 21% for <jats:italic>Klebsiella pneumonia<\/jats:italic>, and 14% for <jats:styled-content style=\"fixed-case\"><jats:italic>Staphylococcus aureus<\/jats:italic><\/jats:styled-content>. <jats:styled-content style=\"fixed-case\"><jats:italic>Acinetobacter baumannii<\/jats:italic><\/jats:styled-content> and <jats:styled-content style=\"fixed-case\"><jats:italic>Pseudomonas aeruginosa<\/jats:italic><\/jats:styled-content> displayed XDR at 79% and 21%, respectively. <jats:italic>Methicillin\u2010resistant <jats:styled-content style=\"fixed-case\">S. aureus<\/jats:styled-content><\/jats:italic> decreased from 71% in 2015 to 54% in 2022. MDR <jats:italic>Klebsiella pneumonia<\/jats:italic> peaked in 2021. MDR <jats:styled-content style=\"fixed-case\"><jats:italic>Pseudomonas aeruginosa<\/jats:italic><\/jats:styled-content> decreased from 44% in 2015 to 16% in 2022.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Drug resistance was detected in 50% of the isolates with most being Gram\u2010negative and MDR. Further research is needed to identify risk factors for resistance, aiming to refine empiric antimicrobial therapy.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cnr2.70132","type":"journal-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T08:11:11Z","timestamp":1741767071000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Microbiological Profiles and Resistance Patterns in Pediatrics With Cancer: An 8\u2010Year Study at a Comprehensive Cancer Center in Jordan"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8232-3318","authenticated-orcid":false,"given":"Dana","family":"Hassouneh","sequence":"first","affiliation":[{"name":"Department of Pharmacy King Hussein Cancer Center  Amman Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Razan","family":"Zatarah","sequence":"additional","affiliation":[{"name":"Department of Pharmacy King Hussein Cancer Center  Amman Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aseel","family":"AbuSara","sequence":"additional","affiliation":[{"name":"Department of Pharmacy King Hussein Cancer Center  Amman Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lama","family":"Nazer","sequence":"additional","affiliation":[{"name":"Department of Pharmacy King Hussein Cancer Center  Amman Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amal","family":"Abu Ghosh","sequence":"additional","affiliation":[{"name":"Department of Pediatrics King Hussein Cancer Center  Amman Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haitham Al","family":"Aryan","sequence":"additional","affiliation":[{"name":"Patient Journey and Health Information Management King Hussein Cancer Center  Amman Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iyad","family":"Sultan","sequence":"additional","affiliation":[{"name":"Department of Pediatrics King Hussein Cancer Center  Amman Jordan"},{"name":"Faculty of Medicine University of Jordan  Amman Jordan"},{"name":"Artificial Intelligence and Data Innovation Office, King Hussein Cancer Center  Amman Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,3,10]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1089\/Mdr.2019.0393"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0950268819001845"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/S00520\u2010013\u20101797\u20104"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/S00431\u2010015\u20102525\u20105"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/Pbc.24995"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1080\/08880018.2019.1667462"},{"key":"e_1_2_11_8_1","unstructured":"The R Foundation \u201cWhat Is R? 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