Literature DB >> 1472321

Outcome prediction in early management of severe head injury: an experience in Malaysia.

B M Selladurai1, R Jayakumar, Y Y Tan, H C Low.   

Abstract

The outcome of 109 patients with severe head injury was studied in relation to clinical and computed tomographic (CT) criteria on admission, after resuscitation. Age, Glasgow Coma Score (GCS) and state of pupils strongly correlated with outcome. The presence of hypothalamic disturbances, hypoxia and hypotension were associated with an adverse outcome. The CT indicators associated with poor outcome were perimesencephalic cistern (PMC) obliteration, subarachnoid haemorrhage, diffuse axonal injury and acute subdural haematoma. The prognostic value of midline shift and mass effect were influenced by concomitant presence of diffuse brain injury. For the subset of patients aged < 20 years, with GCS 6-8 and patent PMC (n = 21), 71.4% correct predictions were made for a good outcome. For the subset of patients aged > 20 years, with GCS 3-5 and partial or complete obliteration of PMC (n = 28), 89.3% correct predictions were made for a poor outcome.

Entities:  

Mesh:

Year:  1992        PMID: 1472321     DOI: 10.3109/02688699209002372

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


  7 in total

1.  Initial predictive factors of outcome in severe non-accidental head trauma in children.

Authors:  Didier Scavarda; Charline Gabaudan; Fabrice Ughetto; Frederic Lamy; Vanessa Imada; Gabriel Lena; Olivier Paut
Journal:  Childs Nerv Syst       Date:  2010-05-12       Impact factor: 1.475

2.  Interobserver variability in the assessment of CT imaging features of traumatic brain injury.

Authors:  Kimberly A Chun; Geoffrey T Manley; Shirley I Stiver; Ashley H Aiken; Nicholas Phan; Vincent Wang; Michele Meeker; Su-Chun Cheng; A D Gean; Max Wintermark
Journal:  J Neurotrauma       Date:  2010-02       Impact factor: 5.269

Review 3.  A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care.

Authors:  Hamdan O Alanazi; Abdul Hanan Abdullah; Kashif Naseer Qureshi
Journal:  J Med Syst       Date:  2017-03-11       Impact factor: 4.460

4.  Role of computed tomography scores and findings to predict early death in patients with traumatic brain injury: A reappraisal in a major tertiary care hospital in Nepal.

Authors:  Sunil Munakomi; Binod Bhattarai; Balaji Srinivas; Iype Cherian
Journal:  Surg Neurol Int       Date:  2016-02-19

5.  A comparative study between Marshall and Rotterdam CT scores in predicting early deaths in patients with traumatic brain injury in a major tertiary care hospital in Nepal.

Authors:  Sunil Munakomi
Journal:  Chin J Traumatol       Date:  2016

6.  The Optimal Operative Timing of Traumatic Intracranial Acute Subdural Hematoma Correlated with Outcome.

Authors:  Worawach Karnjanasavitree; Nakornchai Phuenpathom; Thara Tunthanathip
Journal:  Asian J Neurosurg       Date:  2018 Oct-Dec

7.  Trauma-Induced Coagulopathy: Incidence and Outcome in Patients with Isolated Traumatic Brain Injury in a Level I Trauma Care Center in India.

Authors:  Poonam Rani; Nidhi Bidyut Panda; Amarjyoti Hazarika; Jasmina Ahluwalia; Rajesh Chhabra
Journal:  Asian J Neurosurg       Date:  2019-11-25
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.