Trauma & major bleeding

Prehospital transport prioritization and time-varying selection bias in traffic-related multi-patient incidents: a nationwide retrospective cohort study

Crit CarePublished Retrospective cohort study

Authors' conclusion

The association between priority transport and severe outcome was modified by on-scene time, with the largest risk difference at the shortest on-scene times.

Study context

Population
Patients from traffic-related multi-patient incidents (≥2 patients per incident) with complete data, Fire and Disaster Management Agency of Japan EMS transport records, January 2021-December 2023of 13,821,224 records
Participants
143,130 patients
Exposure
Priority transport vs non-priority transport
  • Priorityn = 62,769
Outcome
Physician-assessed death or critical/severe injury at hospital arrival
Follow-up
Hospital arrival
Methodological detailsnationwide, augmented inverse probability weighting (doubly robust), cluster-bootstrap CIs, E-value sensitivity analysis
  • Nationwide
  • Augmented inverse probability weighting (doubly robust)
  • Cluster-bootstrap CIs
  • E-value sensitivity analysis

Main finding

As reported in the abstract

Death or critical/severe injury at hospital arrival
Overall marginal adjusted RD, priority vs non-priority transport (AIPW)
2.2% points (95% CI, 2.01-2.36)

Observational data: associations, not effects.

Further findings

Effect modification of RD by on-scene time (5-60 min)

Points

Marginal RD at 5 min (peak)
6.4% (95% CI, 5.6-7.2)
Marginal RD at ≈32 min (minimum)
1.4% (95% CI, 1.3-1.6)
Marginal RD at 60 min
2.4% (95% CI, 2.0-2.8)
  • Interaction with on-scene time p < .001
  • Cluster-bootstrap CIs

Sensitivity analyses (unmeasured confounding)

E-value
3.76 (lower bound, 3.57)
  • Sensitivity analyses confirmed result robustness

Original publication

Prehospital transport prioritization and time-varying selection bias in traffic-related multi-patient incidents: a nationwide retrospective cohort study. Crit Care. Published 4 August 2026. doi:10.1186/s13054-026-06196-2

Composed by AI from the published abstract and checked against it. How Briefs are made →

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