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Cited by 4Traumatic Brain Injury ResearchTraumatic Brain Injury and Neurovascular DisturbancesSchizophrenia research and treatment

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index; none of the 17 sources its claims cite is checked for support yet.

Pediatric traumatic brain injury and later psychotic syndromes in Finland

Open access

Abstract

The association between pediatric traumatic brain injury (pTBI) and post-traumatic psychotic syndromes remains understudied subject. The objective of this study was to evaluate the association between pTBI and subsequent psychotic syndrome incidence in Finland. A nationwide retrospective cohort study in Finland from 1998 to 2018 included 71,969 pediatric (< 18 years) TBI patients and 64,856 references with distal extremity fractures. Our primary outcome was psychotic syndrome occurrence post-pTBI, analyzed via Kaplan–Meier (KM) survival and multivariable Cox regression with 95% confidence intervals (CI).. KM analyses demonstrated consistently elevated rates in pediatric TBI (pTBI), particularly notable 10 years post-trauma. Beyond the initial year, cumulative incidence was 0.04% in pTBI and 0.02% in the reference group. Cox regression revealed increased long-term psychotic syndrome risk in pTBI compared to the reference. Up to 10 years of follow-up, the hazard ratio (HR) was 1.34 (95% CI: 1.16–1.55). Notably, among females, pTBI exhibited higher cumulative rates than the reference group. Post the first year, cumulative incidence was 0.06% (pTBI) versus 0.03% (reference) for females. Following 3 years, the HR for pTBI females was 2.00 (95% CI: 1.24–3.23), decreasing to 1.08 (95% CI: 0.90–1.30) from 3 to 20 years. Conclusion : These findings suggest that the risk of psychotic syndromes remains slightly elevated up to 10 years following pTBI. What Is Known: • The association between pTBI and post-traumatic psychotic syndromes is relatively understudied. Existing literature mainly focuses on schizophrenia. What Is New: • This nationwide study found an association between pTBI and an increased risk of post-traumatic psychotic syndromes, particularly within the first 10 years after injury. Notably, female patients faced a higher risk.

Overview

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TL;DR

In a Finnish nationwide retrospective cohort of 71,969 pediatric TBI patients and 64,856 distal extremity fracture references, pTBI was associated with a slightly elevated risk of later psychotic syndromes, especially within 10 years (HR 1.34, 95% CI 1.16–1.55). Female pTBI patients showed higher early risk (HR 2.00, 95% CI 1.24–3.23 following 3 years), though the association attenuated over longer follow-up.

Key findings

  • During follow-up, 1,270 patients were diagnosed with psychotic syndrome post-injury; median time from trauma to psychotic syndrome was 7.94 years in the pTBI group and 9.39 years in references. Table 1 reports psychotic syndrome in 611 (0.85%) pTBI patients vs. 659 (1.02%) references.
  • Kaplan–Meier cumulative incidence at 1 year was 0.04% in pTBI vs. 0.02% in references; at 20 years it was 2.19% vs. 2.25% (Table 2).
  • Cox regression showed higher long-term psychotic syndrome risk in pTBI vs. references: up to 10 years, HR 1.34 (95% CI 1.16–1.55); 10–18 years, HR 1.13 (95% CI 0.95–1.36); post-18 years, HR 1.37 (95% CI 0.68–2.78).
  • Among females, after 1 year cumulative incidence was 0.06% (pTBI) vs. 0.03% (reference); following 3 years, HR for pTBI females was 2.00 (95% CI 1.24–3.23), decreasing to 1.08 (95% CI 0.90–1.30) from 3 to 20 years. In males with pTBI, HR was 1.19 (95% CI 0.71–1.99) post-initial 3 years, reducing to 0.85 (95% CI 0.73–0.99) during 3–20 years.

Methods

  • Nationwide retrospective cohort study in Finland from January 1998 to December 2018, using the Finnish Care Register for Health Care and the Finnish Social Insurance Institution.
  • The primary cohort included 71,969 individuals under 18 diagnosed with pTBI (ICD-10 S06*); references were 64,856 individuals under 18 with ankle (ICD-10 S82*) or wrist fractures (ICD-10 S52*). All patients were hospitalized in secondary healthcare units. Psychotic syndrome was identified using reimbursement code 112 from the Finnish Social Insurance Institution, covering conditions such as schizophrenia, bipolar disorder with psychotic features, and psychotic depression, with date of onset recorded.
  • Cumulative incidence was evaluated with Kaplan–Meier analysis and multivariable Cox regression with 95% CIs; covariates were age at hospitalization and sex, guided by a directed acyclic graph. Proportional hazards assumptions were checked with scaled Schoenfeld residuals, and time-dependent coefficients with a step function were used for violations (main analysis intervals: 0–9, 10–17, 18–20 years; subgroup analysis: 0–2 and 3–20 years). Analyses used R Windows version 4.0.5 with the survival package.

Limitations

  • The paper states that the Finnish Care Register for Health Care lacks data on familial medical history, pre-traumatic psychiatric conditions, and substance misuse, which may leave residual confounding. It also notes potential diagnostic inaccuracies in pTBI coding, exclusion of isolated skull fracture diagnoses, use of only S06* codes to define TBI, no primary care data (possibly underestimating less severe injuries), lack of GCS ratings and other severity indicators, and that only age and sex could be used as covariates.
  • The paper states that including only intracranial injuries excluded patients with isolated skull fracture diagnoses, which may have reduced the overall number of pTBI cases in the cohort.
  • Evident from the text: the study is an observational registry analysis and cannot establish causality; the narrative reports a 3-year cumulative incidence of 0.14% (pTBI) vs. 0.09% (reference), while Table 2 reports 0.30% vs. 0.22%, indicating an internal inconsistency. The reference group is distal extremity fractures rather than uninjured controls, so residual confounding by injury or healthcare contact may remain.

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Integrity signals

Registry

Crossref · 10.1007/s00431-025-06224-3

Cites

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Statistics

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Figures

Fig. 1 Kaplan–Meier curve depicting the cumulative incidence of psychotic syndrome in the study population, including 95% confidence intervals, among individuals with pediatric traumatic brain injury (pTBI) in Finland from 1998 to 2018
Fig. 1 Kaplan–Meier curve depicting the cumulative incidence of psychotic syndrome in the study population, including 95% confidence intervals, among individuals with pediatric traumatic brain injury (pTBI) in Finland from 1998 to 2018CC BY · PubMed Central

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Citations

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Metadata

Authors
Laaksonen, J., Ponkilainen, V., Möttönen, J., Mattila, V. M., & Kuitunen, I.
Affiliations
  • University of Tampere (FI)
  • Tampere University Hospital (FI)
  • Tampere University (FI)
  • University of Eastern Finland (FI)
Corresponding author
Laaksonen, Juho
Venue
European Journal of Pediatrics
Published
2025-05-31
Volume
184
Issue
6
Pages
380-380
ISSN
  • 0340-6199 (ISSN-L)
  • 1432-1076
OpenAlex
W4410924637
Cited by
4
References
13
Citations by year
2026: 2 · 2025: 2
FWCI
1.99
Type
journal article
Language
en
Open access
Licence
Locations
  • European Journal of Pediatrics (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Tampere University Institutional Repository (Tampere University) (submittedVersion, cc-by)
Funders
  • Maire Taposen Säätiö
  • Päivikki ja Sakari Sohlbergin Säätiö
  • Yrjö Jahnssonin Säätiö
  • Tampere University
Topics
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury Research
  • Health Sciences › Medicine › Clinical Neurology › Traumatic Brain Injury and Neurovascular Disturbances
  • Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Keywords
pediatric traumatic brain injury, sex differences in risk, schizophrenia, Finland
MeSH terms
Brain Injuries, Traumatic, Adolescent, Child, Child, Preschool, Female, Finland, Humans, Infant, Male, Psychotic Disorders, Retrospective Studies, Risk Factors, Incidence, Proportional Hazards Models, Kaplan-Meier Estimate

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