Evidence map›Paper›PMID 42757007›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2026

Identifying Transfusion Triggers in Trauma Patients and Developing the Vellore Trauma Transfusion Score: A Retrospective Cohort Study.

Shaleen Das, Anten P Jonish, Rebekah Grace, Gayathri K Chellaiya, Dolly Daniel, Shona R Mathuram, Srujan L Sharma, D Joses James

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Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shaleen DasDepartment of Trauma Surgery, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0009-0009-2142-3209
Anten P JonishDepartment of Trauma Surgery, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0009-0004-5319-5603
Rebekah GraceDepartment of Biostatistics, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-6279-4326
Gayathri K ChellaiyaDepartment of Immuno Hematology and Blood Transfusion, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-4626-6969
Dolly DanielDepartment of Immuno Hematology and Blood Transfusion, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0000-0003-1315-1935
Shona R MathuramDepartment of Trauma Surgery, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0009-0003-9408-7628
Srujan L SharmaDepartment of Trauma Surgery, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-7721-1098
D Joses JamesDepartment of Trauma Surgery, Christian Medical College, Vellore, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-9162-6452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Hemorrhage remains a leading cause of preventable mortality in trauma. Existing massive transfusion (MT) prediction scores are often context-specific and limited by resource availability. This study aimed to identify early transfusion predictors in a high-volume civilian trauma center and develop a simplified, locally applicable scoring system. Patients and methods: This retrospective cohort study analyzed trauma registry data from a level 1 trauma center over 2 years (July 2022-July 2024). All trauma patients with an Injury Severity Score (ISS) ≥16 were included. Massive transfusion was defined using standard composite criteria. Clinical variables, imaging findings, and laboratory parameters were analyzed using logistic regression. Significant predictors were incorporated into a regression coefficient-based scoring system, and diagnostic performance was assessed using receiver operating characteristic (ROC) analysis. Results: Among 687 patients, 36 (5.2%) required MT. On multivariable analysis, systolic blood pressure (SBP) ≤90 mm Hg [odds ratio (OR) = 8.15], heart rate (HR) >120 bpm (OR = 4.27), packed cell volume (PCV) ≤30 (OR = 3.76), base deficit (BD) ≥6 mmol/L (OR = 4.15), lactate ≥5 mmol/L (OR = 2.62), and mean arterial pressure (MAP) <70 mm Hg (OR = 8.81) were significant predictors (all Conclusion: A concise combination of physiological and biochemical parameters can reliably predict the need for MT. The proposed trauma transfusion trigger offers a pragmatic, context-sensitive tool requiring prospective validation. How to cite this article: Das S, Jonish AP, Grace R, Chellaiya GK, Daniel D, Mathuram SR,

Indexed as

Base deficitHeart rateHemorrhagic shockMassive transfusionSystolic blood pressureTransfusion scoreTransfusion triggersTraumaTrauma resuscitation

Identifiers

PMID42757007
PMCPMC13585099

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.