Data · dataset · 2026
<p>Complete-case availability by model.</p>
Listed in ZivaHub and Deakin Research Online and DMU Figshare and UCL Research Data Repository — shown once because both records carry DOI 10.1371/journal.pone.0359963.s002
<div><p>Trauma patients requiring massive transfusion have mortality exceeding 40%, yet early risk-stratification tools for this population remain limited.
Description
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] ≥ 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 < 4).
Read the rest (3 more)
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 = 0.77–0.79 per point, p < 0.001). In the primary ED arrival model (AUC = 0.770), 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 = 0.828). All models showed adequate calibration (Hosmer–Lemeshow p > 0.05). Mortality decreased with longer time-to-first-transfusion (54.5% for ≤15 min vs. 23.7% for >60 min, trend p = 0.007), 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.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0359963.s002 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Ecology · Ecology · Ecology · Ecology · Infectious diseases · Infectious diseases · Infectious diseases · Infectious diseases · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Research, science and technology policy · Social Science · Social Science · Social Science · Social Science
- Inferred from text
- Longitudinal study 65%
Provenance · 4 source records, 38 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34048100 | 13 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34048100 | 13 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34048100 | 13 d ago | JSON v1 |
| UCL Research Data Repository | oai:figshare.com:article/34048100 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:320211 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:440710 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:field:440710 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:group:3103 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
| concepts[field].anzsrc:group:3103 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
| concepts[field].anzsrc:group:3103 | mapping · rdr ucl ac uk | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
| concepts[field].anzsrc:group:3103 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Ecology'] |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:social-science | mapping · rdr ucl ac uk | connector:rdr_ucl_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:social-science | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |