{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T22:07:47Z","timestamp":1777932467871,"version":"3.51.4"},"reference-count":53,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Health Research Program of Anhui","award":["AHWJ2023A20236"],"award-info":[{"award-number":["AHWJ2023A20236"]}]},{"name":"Health Research Program of Anhui","award":["AHWJ2023A30052"],"award-info":[{"award-number":["AHWJ2023A30052"]}]},{"name":"Health Research Program of Chuzhou","award":["CZWJ2022B003"],"award-info":[{"award-number":["CZWJ2022B003"]}]},{"DOI":"10.13039\/501100017677","name":"Chuzhou Science and Technology Program","doi-asserted-by":"crossref","award":["2023ZD032"],"award-info":[{"award-number":["2023ZD032"]}],"id":[{"id":"10.13039\/501100017677","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Microbial Drug Resistance"],"published-print":{"date-parts":[[2025,12]]},"abstract":"<jats:p>\n                    This study analyzed the antimicrobial resistance profiles and risk factors for carbapenem-resistant Acinetobacter baumannii (CRAB) in a tertiary hospital and developed a predictive model for infection control. Among 64 Acinetobacter baumannii isolates collected in 2024 from the First People's Hospital of Chuzhou, CRAB accounted for 40.63% (26\/64), with sputum being the most common specimen source (85.94%) and the highest isolation rate observed in respiratory wards. CRAB exhibited significantly higher resistance to most antibiotics compared to carbapenem-sensitive strains (CSAB), except for polymyxin and tigecycline (\n                    <jats:italic toggle=\"yes\">P<\/jats:italic>\n                    &lt; 0.05). Multivariate analysis identified \u22653 underlying diseases, prior use of compound antibiotics, and tracheal intubation\/incision as independent risk factors for CRAB infection. A nomogram prediction model constructed with R software demonstrated high predictive accuracy (C-index: 0.985). The findings highlight a concerning prevalence and multidrug resistance of CRAB in this setting, underscoring the need to enhance monitoring, early risk factor identification, and targeted interventions to reduce transmission and optimize antimicrobial stewardship.\n                  <\/jats:p>","DOI":"10.1177\/10766294251386344","type":"journal-article","created":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T16:49:33Z","timestamp":1759942173000},"page":"385-393","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Drug Resistance Analysis and Prediction Model Construction of Carbapenem-Resistant\n                    <i>Acinetobacter baumannii<\/i>"],"prefix":"10.1177","volume":"31","author":[{"given":"Chunjing","family":"Jin","sequence":"first","affiliation":[{"name":"Laboratory Medicine Center, The Affiliated Chuzhou Hospital of Anhui Medical University, The First People\u2019s Hospital of Chuzhou, 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