Literature DB >> 12498494

Prognosis of severe head injury: an experience in Thailand.

S Ratanalert1, J Chompikul, S Hirunpat, N Pheunpathom.   

Abstract

This study of 300 patients with severe head injury evaluated the clinical predictors determined after admission and associated with significant increase of poor outcome. The overall poor outcome was 58%. Logistic regression showed that age, status of basal cisterns on initial CT, Glasgow Coma Scale score (GCS) at 24 h after injury and electrolyte derangement occurring during admission strongly correlated with the outcome. A probability diagram of the outcome determined at 24 h after injury from the combination of the significant predictive factors provides a basis for determining the interventions to the appropriate target population. Intracranial pressure monitors with sophisticated devices may not be suitable for a developing country. Allocation of resources toward development of adequate intensive care beds and well-trained staff combined with serial CT imaging may be an alternative approach for the improvement of the outcome of severe head injury.

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Year:  2002        PMID: 12498494     DOI: 10.1080/0268869021000030311

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  3 in total

1.  A Bayesian Framework for Early Risk Prediction in Traumatic Brain Injury.

Authors:  Shikha Chaganti; Andrew J Plassard; Laura Wilson; Miya A Smith; Mayur B Patel; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-21

2.  A comparative study of thin-layer cross-sectional anatomic morphology and CT images of the basal cistern and its application in acute craniocerebral traumas.

Authors:  Rong Chen; Shaoxiang Zhang; Weiguo Zhang; Liwen Tan; Qiyu Li; Hui Zhao
Journal:  Surg Radiol Anat       Date:  2008-10-22       Impact factor: 1.246

Review 3.  Multimodality monitoring consensus statement: monitoring in emerging economies.

Authors:  Anthony Figaji; Corina Puppo
Journal:  Neurocrit Care       Date:  2014-12       Impact factor: 3.210

  3 in total

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