Evidence map›Paper›PMID 39503498›Full record

Observational studyPrehospital emergency care2025

Association of the Revised Trauma Score with Mortality and Prehospital LSI Among Trauma and Non-Trauma Patients.

Dylan A Defilippi, David D Salcido, Chase W Zikmund, Leonard S Weiss, Andrew Schoenling, Christian Martin-Gill, Francis X Guyette, Michael R Pinsky

Abstract readObservational Study
In one paragraph

Observational study in Prehospital emergency care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Dylan A DefilippiDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
David D SalcidoDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Chase W ZikmundDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Leonard S WeissDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0001-6857-6573
Andrew SchoenlingDepartment of Emergency Medicine, UPMC Presbyterian Hospital, Pittsburgh, Pennsylvania.
Christian Martin-GillDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Francis X GuyetteDepartment of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.ORCID 0000-0002-9151-4896
Michael R PinskyDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

Funding

Autonomous diagnosis and management of the critically ill during air transport (ADMIT)R01HL141916 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PINSKY, MICHAEL R · 2019 to 2022
$2.9M
NHLBI NIH HHS R01 HL141916
6 · The paper itself

Abstract

objectivesThe combination of broad conditional applicability and ease of data collection make some general risk scores an attractive tool for clinical decision making under acute care conditions. To date, general risk scores have demonstrated moderate levels of accuracy for key outcomes, but there are no definitive general scores integrated universally into prehospital care. The objective of our study was to demonstrate a relationship between the Revised Trauma Score (RTS) and prehospital lifesaving interventions (LSI) and downstream hospital mortality among a large, diverse, multi-year cohort of critical care transport patients. We hypothesized that the RTS is associated with mortality and prehospital LSI generally across all conditions, including non-trauma.

methodsWe conducted a retrospective observational study using a pre-established cohort of sequentially enrolled patients from a regional air medical service between the years 2012 and 2021. Pediatric patients, non-transports, and those transported to hospitals outside the regional health system were excluded from the study. Both trauma and non-trauma patients were included in this study. We performed logistic regressions to evaluate the association between RTS and the outcomes of LSI and hospital mortality, while controlling for age, sex, and medical category. Graphs were constructed to plot RTS against prehospital LSI and survival percentage.

resultsOur final patient cohort was 62,424 patients. 58.4% of all patients required a prehospital LSI. Non-trauma cases made up 69.7% of the patient population. The Revised Trauma Score was inversely proportional with both prehospital LSI and mortality. The logistic regression model yielded an odds ratio (OR) of 0.55 (95% CI 0.54 - 0.56) for the association between RTS and death. Additionally, when the components of RTS were associated with mortality, they each showed a statistically significant OR. The Revised Trauma Score was also associated with prehospital LSI (OR 0.10; 95% CI 0.03 - 0.33).

conclusionsIn a large helicopter EMS cohort of both trauma and non-trauma patients, the RTS was inversely associated with prehospital LSI and hospital mortality. The generalized utility of RTS demonstrated in our study warrants further investigation of this measure as a broader triage tool.

Indexed as

Emergency Medical ServicesHospital MortalityTrauma Severity IndicesWounds and InjuriesAdolescentAdultAgedAir AmbulancesFemaleHumansInjury Severity ScoreMaleMiddle AgedRetrospective Studies

Identifiers

PMID39503498
PMCPMC12078625

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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.