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Sökning: id:"swepub:oai:DiVA.org:oru-81160" > Toward a New Multi-...

Toward a New Multi-Dimensional Classification of Traumatic Brain Injury : A Collaborative European NeuroTrauma Effectiveness Research for Traumatic Brain Injury Study

Gravesteijn, Benjamin Y. (författare)
Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
Sewalt, Charlie A. (författare)
Karolinska Institutet
Ercole, Ari (författare)
Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
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Akerlund, Cecilia (författare)
Department of Physiology and Pharmacology, Section of Perioperative Medicine and Intensive Care, Karolinska Institutet, Stockholm, Sweden
Nelson, David (författare)
Karolinska Institutet
Maas, Andrew I. R. (författare)
Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
Menon, David (författare)
Division of Anaesthesia, University of Cambridge, Cambridge, United Kingdom
Lingsma, Hester F. (författare)
Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands
Steyerberg, Ewout W. (författare)
Department of Public Health, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Biomedical Data Sciences, Leiden University Medical Centre Leiden, The Netherlands
Collaborative European NeuroTrauma Effectiveness Research for Traumatic Brain Injury, Colaborators (författare)
Oresic, Matej, 1967- (författare)
Örebro universitet,Institutionen för medicinska vetenskaper
Brorsson, Camilla (bidragsgivare)
Umeå universitet,Anestesiologi och intensivvård
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 (creator_code:org_t)
Mary Ann Liebert, 2020
2020
Engelska.
Ingår i: Journal of Neurotrauma. - : Mary Ann Liebert. - 0897-7151 .- 1557-9042. ; 37:7, s. 1002-1010
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Traumatic brain injury (TBI) is currently classified as mild, moderate, or severe TBI by trichotomizing the Glasgow Coma Scale (GCS). We aimed to explore directions for a more refined multidimensional classification system. For that purpose, we performed a hypothesis-free cluster analysis in the Collaborative European NeuroTrauma Effectiveness Research for TBI (CENTER-TBI) database: a European all-severity TBI cohort (n = 4509). The first building block consisted of key imaging characteristics, summarized using principal component analysis from 12 imaging characteristics. The other building blocks were demographics, clinical severity, secondary insults, and cause of injury. With these building blocks, the patients were clustered into four groups. We applied bootstrap resampling with replacement to study the stability of cluster allocation. The characteristics that predominantly defined the clusters were injury cause, major extracranial injury, and GCS. The clusters consisted of 1451, 1534, 1006, and 518 patients, respectively. The clustering method was quite stable: the proportion of patients staying in one cluster after resampling and reclustering was 97.4% (95% confidence interval [CI]: 85.6-99.9%). These clusters characterized groups of patients with different functional outcomes: from mild to severe, 12%, 19%, 36%, and 58% of patients had unfavorable 6 month outcome. Compared with the mild and the upper intermediate cluster, the lower intermediate and the severe cluster received more key interventions. To conclude, four types of TBI patients may be defined by injury mechanism, presence of major extracranial injury and GCS. Describing patients according to these three characteristics could potentially capture differences in etiology and care pathways better than with GCS only.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Anestesi och intensivvård (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Anesthesiology and Intensive Care (hsv//eng)

Nyckelord

GCS
classification
clustering
prospective

Publikations- och innehållstyp

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art (ämneskategori)

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