{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T19:02:40Z","timestamp":1784314960892,"version":"3.55.0"},"update-to":[{"DOI":"10.1371\/journal.pntd.0014516","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T00:00:00Z","timestamp":1784246400000}}],"reference-count":22,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007935","name":"Hainan Medical University","doi-asserted-by":"publisher","award":["XSTS2025105"],"award-info":[{"award-number":["XSTS2025105"]}],"id":[{"id":"10.13039\/501100007935","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008111","name":"Hainan Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["ZDYF2022SHFZ050"],"award-info":[{"award-number":["ZDYF2022SHFZ050"]}],"id":[{"id":"10.13039\/501100008111","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosntds.org"],"crossmark-restriction":false},"short-container-title":["PLoS Negl Trop Dis"],"abstract":"<jats:p>\n                    Melioidosis, caused by\n                    <jats:italic>Burkholderia pseudomallei<\/jats:italic>\n                    , carries a high mortality rate, particularly in acute severe cases. This study aimed to develop a practical prediction model for in-hospital mortality using routinely available clinical data. We retrospectively analyzed 283 melioidosis patients from Hainan General Hospital (2010\u20132024). Compared to survivors, non-survivors had significantly higher neutrophil percentage, C-reactive protein (CRP), and urea nitrogen levels, and lower platelet counts (PLT) (all\n                    <jats:italic>P<\/jats:italic>\n                    \u2009&lt;\u20090.05) based on the last available measurements during hospitalization. Multivariate logistic regression identified these four variables as independent risk factors for mortality. A combined model integrating neutrophil percentage, PLT, CRP, and urea nitrogen demonstrated outstanding discriminative performance, with an area under the curve (AUC) of 0.957 (95% CI: 0.925\u20130.989), sensitivity of 94.9%, and specificity of 86.4%, significantly outperforming any single indicator. This high-accuracy model, based on inexpensive and universally available parameters, shows great potential for risk assessment during hospitalization of melioidosis patients in resource-limited endemic settings, facilitating timely intensive intervention.\n                  <\/jats:p>","DOI":"10.1371\/journal.pntd.0014516","type":"journal-article","created":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T17:39:18Z","timestamp":1784050758000},"page":"e0014516","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["A prediction model for mortality risk in melioidosis patients based on clinical and laboratory indicators: A single-center retrospective 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