{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T18:06:05Z","timestamp":1790877965437,"version":"4.1.0"},"reference-count":18,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Trauma patients requiring massive transfusion have mortality exceeding 40%, yet early risk-stratification tools for this population remain limited. We evaluated readily available predictors of mortality in massively transfused trauma patients, excluding those with severe traumatic brain injury (TBI) to focus on a hemorrhage-predominant cohort. This single-center retrospective cohort study included trauma patients who received massive transfusion at Chonnam National University Hospital between January 2018 and December 2023. Patients with severe TBI (Head Abbreviated Injury Scale [AIS] \u2265 4) were excluded. Three sequential multivariate logistic regression models were constructed: a primary model using variables available at emergency department (ED) arrival, a secondary model adding laboratory values, and an exploratory model incorporating early transfusion course variables. Of 172 massively transfused trauma patients, 124 met inclusion criteria (Head AIS\u2009&lt;\u20094). Overall mortality was 41.1% (51\/124), with 24-hour mortality of 23.7% (28\/118). The Glasgow Coma Scale (GCS) was the strongest independent predictor across all models (OR = 0.77\u20130.79 per point, p\u2009&lt;\u20090.001). In the primary ED arrival model (AUC\u2009=\u20090.770), GCS was the sole significant predictor; GCS alone achieved a comparable AUC of 0.771. The exploratory model incorporating transfusion variables achieved the highest discrimination (AUC\u2009=\u20090.828). All models showed adequate calibration (Hosmer\u2013Lemeshow p\u2009&gt;\u20090.05). Mortality decreased with longer time-to-first-transfusion (54.5% for \u226415 min vs. 23.7% for &gt;60 min, trend p\u2009=\u20090.007), reflecting confounding by indication. In massively transfused trauma patients without severe TBI, GCS assessed at ED arrival is the single most informative predictor of mortality, enabling risk stratification before laboratory results become available. Metabolic acidosis markers and coagulopathy were strongly associated with mortality on univariate analysis but added no independent predictive value beyond GCS. Time-to-first-transfusion appeared to reflect hemorrhage acuity rather than a modifiable prognostic factor.<\/jats:p>","DOI":"10.1371\/journal.pone.0359963","type":"journal-article","created":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T17:30:07Z","timestamp":1790875807000},"page":"e0359963","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predictors of mortality available at emergency department arrival in massively transfused trauma patients without severe TBI: A single-center retrospective cohort study"],"prefix":"10.1371","volume":"21","author":[{"given":"Younggoun","family":"Jo","sequence":"first","affiliation":[{"name":"Chonnam National University Medical School and Hospital","place":["Gwangju, Republic of Korea"],"department":["Department of Surgery"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunchul","family":"Park","sequence":"additional","affiliation":[{"name":"Chonnam National University Medical School and Hospital","place":["Gwangju, Republic of Korea"],"department":["Department of Surgery"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Euisung","family":"Jeong","sequence":"additional","affiliation":[{"name":"Chonnam National University Medical School and Hospital","place":["Gwangju, Republic of Korea"],"department":["Department of Surgery"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyunseok","family":"Jang","sequence":"additional","affiliation":[{"name":"Chonnam National University Medical School and Hospital","place":["Gwangju, Republic of Korea"],"department":["Department of Surgery"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1352-2372","authenticated-orcid":true,"given":"Hyo-Sin","family":"Kim","sequence":"additional","affiliation":[{"name":"Chonnam National University Medical School and Hospital","place":["Gwangju, Republic of Korea"],"department":["Department of Surgery"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,10,1]]},"reference":[{"key":"pone.0359963.ref001","article-title":"Impact of hemorrhage on trauma outcome: An overview of epidemiology, clinical presentations, and therapeutic considerations","volume":"60","author":"DS Kauvar","year":"2006","journal-title":"J Trauma"},{"issue":"4","key":"pone.0359963.ref002","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1056\/NEJMra1705649","article-title":"Hemorrhagic shock","volume":"378","author":"JW Cannon","year":"2018","journal-title":"N Engl J 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