Evidence map›Paper›PMID 42126542›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2026

Early discharges in severely injured patients by ISS score: exploring injury patterns and coding practices.

Fatemeh Parouei, Erna J Z Krüsemann, Martijn Poeze, Mariska A C de Jongh, Falco Hietbrink, Landelijke Beraadsgroep Traumachirurgen (LBTC)

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Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 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

6 authors.

Fatemeh ParoueiLandelijk Netwerk Acute Zorg (LNAZ), Zeist, The Netherlands. f.parouei@lnaz.nl.ORCID http://orcid.org/0000-0002-2367-3780
Erna J Z KrüsemannLandelijk Netwerk Acute Zorg (LNAZ), Zeist, The Netherlands.
Martijn PoezeDepartment of Surgery/Intensive Care Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Mariska A C de JonghNetwerk Acute Zorg Brabant (NAZB), Tilburg, The Netherlands.
Falco HietbrinkDepartment of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Landelijke Beraadsgroep Traumachirurgen (LBTC)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study examines the prevalence of early discharge (ED) among patients classified as severely injured in the Dutch National Trauma Registry (DNTR) and evaluates whether identifiable patient-, injury-, and system-related factors are associated with the occurrence of ED in this population.

methodsThis retrospective cohort study analyzed DNTR data from 2015 to 2022, focusing on severely injured patients (Injury Severity Score [ISS] ≥ 16). Patients were grouped as early discharge (ED; discharged within 48 h without in-hospital mortality) or non-ED (NED). Patients' characteristics were compared using descriptive statistics, and a mixed-effect model identified factors associated with ED.

resultsFrom 2015 to 2022, a total of 37,626 severely injured patients were registered including 1,454 (3.9%) ED patients. This proportion increased from 3.2% in 2015 to 4.8% in 2022. ED was more common in younger patients, males, general practitioner (GP) or self-referred cases, those with severe head injury (Abbreviated Injury Scale [AIS] ≥ 3) and fewer registered injury codes. In the mixed-effects model, younger age (OR up to 2.0), increasing head injury severity (OR: 1.16 per AIS point), less than 3 registered AIS codes (OR: 0.60), referral by a general practitioner (OR 1.68) or self-referral (OR 1.92), and admission year (OR: 1.08 per year) independently predicted early discharge. Subdural hematoma (small-medium) was the most frequent severe injury code among ED patients.

conclusionThe prevalence of early discharge among patients classified as severely injured has increased in the Netherlands over time. Early discharge was more frequently observed in patients with severe head injuries, those who were self- or general practitioner-referred, and varied across regions. These patterns may reflect differences in clinical practice, trauma system organization, or limitations in AIS/ISS-based injury classification rather than a single cause. Greater attention to coding specificity and injury classification may improve the interpretation of registry-based outcome evaluations. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Clinical CodingPatient DischargeWounds and InjuriesAbbreviated Injury ScaleAdultAgedFemaleHumansInjury Severity ScoreMaleMiddle AgedNetherlandsRegistriesRetrospective StudiesAbbreviated Injury Scale (AIS)Early dischargeSeverely injuredSubdural hematoma

Identifiers

PMID42126542
PMCPMC13171672

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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.