Evidence map›Paper›PMID 32023934›Full record

ArticleInternational journal of environmental research and public health2020

Identifying Homogeneous Patterns of Injury in Paediatric Trauma Patients to Improve Risk-Adjusted Models of Mortality and Functional Outcomes.

Joanna F Dipnall, Belinda J Gabbe, Warwick J Teague, Ben Beck

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Article in International journal of environmental research and public health, 2020. 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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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

4 authors.

Joanna F DipnallSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria 3004, Australia.ORCID 0000-0001-7543-0687
Belinda J GabbeSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria 3004, Australia.
Warwick J TeagueTrauma Service, The Royal Children's Hospital, Melbourne, Victoria 3052, Australia.ORCID 0000-0003-4747-6025
Ben BeckSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria 3004, Australia.ORCID 0000-0003-3262-5956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Injury is a leading cause of morbidity and mortality in the paediatric population and exhibits complex injury patterns. This study aimed to identify homogeneous groups of paediatric major trauma patients based on their profile of injury for use in mortality and functional outcomes risk-adjusted models. Data were extracted from the population-based Victorian State Trauma Registry for patients aged 0-15 years, injured 2006-2016. Four Latent Class Analysis (LCA) models with/without covariates of age/sex tested up to six possible latent classes. Five risk-adjusted models of in-hospital mortality and 6-month functional outcomes incorporated a combination of Injury Severity Score (ISS), New ISS (NISS), and LCA classes. LCA models replicated the best log-likelihood and entropy > 0.8 for all models (N = 1281). Four latent injury classes were identified: isolated head; isolated abdominal organ; multi-trauma injuries, and other injuries. The best models, in terms of goodness of fit statistics and model diagnostics, included the LCA classes and NISS. The identification of isolated head, isolated abdominal, multi-trauma and other injuries as key latent paediatric injury classes highlights areas for emphasis in planning prevention initiatives and paediatric trauma system development. Future risk-adjusted paediatric injury models that include these injury classes with the NISS when evaluating mortality and functional outcomes is recommended.

Indexed as

Multiple TraumaAbdominal InjuriesAdolescentChildChild, PreschoolFemaleForecastingHospital MortalityHumansInfantInfant, NewbornInjury Severity ScoreMaleModels, StatisticalPredictive Value of TestsRetrospective Studiesinjurylatent class analysismortality, KOSCHI, classespaediatricrisk adjustmenttrauma

Identifiers

PMID32023934
PMCPMC7037699

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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.