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While various prognostic factors have been studied, there is limited research on long-term survival predictions. The present study aimed to identify predictors of long-term survival in BA patients and develop a dynamic nomogram for individualized prognostication. Additionally, the secondary objective was to develop and validate a dynamic nomogram for predicting long-term survival in BA patients.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>A retrospective cohort study was conducted on BA patients diagnosed at a tertiary care hospital in Southern Thailand. Demographic, clinical, laboratory, and imaging finding were analyzed. Cox regression was used to identify independent prognostic factors. A dynamic nomogram was developed and validated using Harrell\u2019s concordance index (C-index), calibration plots, and cumulative case\/dynamic control survival receiver operating characteristic (ROC) curves.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>A total of 205 patients were included, with a mean follow-up of 41.66\u00a0months. The 1-year, 2-year, and 5-year survival probabilities were 0.77, 0.73, and 0.69, respectively. Independent predictors of long-term survival included age, Karnofsky performance status, hemoculture results, preoperative coagulopathy, neutrophil-to-lymphocyte ratio, bandemia, and occipital BA. The dynamic nomogram revealed strong predictive performance, with a C-index of 0.855 for apparent validation and 0.701 for validation with testing data. Calibration plots and ROC analysis further supported its reliability.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>This study presents a validated dynamic nomogram for predicting long-term survival in BA patients. The model provides an interactive tool for individualized risk assessment and facilitating clinical decision-making. Future research should focus on external validation and refinement of the model for broader applicability.\u00a0<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/s41016-025-00402-w","type":"journal-article","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T07:27:15Z","timestamp":1754551635000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Dynamic nomogram for predicting long-term survival in patients with brain abscess"],"prefix":"10.1186","volume":"11","author":[{"given":"Thara","family":"Tunthanathip","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rakkrit","family":"Duangsoithong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Waranyu","family":"Kittirojkasem","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akira","family":"Pongweat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rattiyaphon","family":"Khongthep","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benchamat","family":"Sutchai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Assama","family":"Tohyunuh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,7]]},"reference":[{"issue":"9","key":"402_CR1","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1212\/WNL.0000000000000172","volume":"82","author":"MC Brouwer","year":"2014","unstructured":"Brouwer MC, Coutinho JM, van de Beek D. 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