Literature DB >> 8986491

Severe head injuries: an outcome prediction and survival analysis.

P Combes1, B Fauvage, M Colonna, J G Passagia, J P Chirossel, C Jacquot.   

Abstract

OBJECTIVE: To identify the predictors determined early after admission and associated with unfavorable outcome or early (within 48 h) death after severe head injury.
DESIGN: Prospective cohort study.
SETTING: A neurosurgical intensive care unit in a university hospital. PATIENTS: 198 consecutive comatose patients hospitalized from 1989 to 1992.
RESULTS: Logistic regression showed that a combination of age, best motor response score from the Glasgow Coma Scale, and hypoxia provided a good prediction model of unfavorable outcome (sensitivity = 0.93). The length of participation of survivors was 6 to 61 months (median 27.1). The Cox model demonstrated age, motor score less than 3, mydriasis, and hypoxia as poor prognosis factors.
CONCLUSIONS: Clinicians can determine the odds of a good outcome from the combination of three easily measurable factors using a simple diagram constructed from logistic regression. Survival analysis showed that motor score adjusted values greater than 3 had the same prognosis.

Entities:  

Mesh:

Year:  1996        PMID: 8986491     DOI: 10.1007/bf01709556

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  22 in total

1.  Neurobehavioral outcome 1 year after severe head injury. Experience of the Traumatic Coma Data Bank.

Authors:  H S Levin; H E Gary; H M Eisenberg; R M Ruff; J T Barth; J Kreutzer; W M High; S Portman; M A Foulkes; J A Jane
Journal:  J Neurosurg       Date:  1990-11       Impact factor: 5.115

2.  Prediction tree for severely head-injured patients.

Authors:  S C Choi; J P Muizelaar; T Y Barnes; A Marmarou; D M Brooks; H F Young
Journal:  J Neurosurg       Date:  1991-08       Impact factor: 5.115

3.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

Review 4.  Measuring the accuracy of diagnostic systems.

Authors:  J A Swets
Journal:  Science       Date:  1988-06-03       Impact factor: 47.728

5.  Influence of the type of intracranial lesion on outcome from severe head injury.

Authors:  T A Gennarelli; G M Spielman; T W Langfitt; P L Gildenberg; T Harrington; J A Jane; L F Marshall; J D Miller; L H Pitts
Journal:  J Neurosurg       Date:  1982-01       Impact factor: 5.115

6.  Improved confidence of outcome prediction in severe head injury. A comparative analysis of the clinical examination, multimodality evoked potentials, CT scanning, and intracranial pressure.

Authors:  R K Narayan; R P Greenberg; J D Miller; G G Enas; S C Choi; P R Kishore; J B Selhorst; H A Lutz; D P Becker
Journal:  J Neurosurg       Date:  1981-06       Impact factor: 5.115

7.  Prognosis of patients with severe head injury.

Authors:  B Jennett; G Teasdale; R Braakman; J Minderhoud; J Heiden; T Kurze
Journal:  Neurosurgery       Date:  1979-04       Impact factor: 4.654

8.  Predicting outcome in individual patients after severe head injury.

Authors:  B Jennett; G Teasdale; R Braakman; J Minderhoud; R Knill-Jones
Journal:  Lancet       Date:  1976-05-15       Impact factor: 79.321

9.  Is early prediction of outcome in severe head injury possible?

Authors:  K Waxman; M J Sundine; R F Young
Journal:  Arch Surg       Date:  1991-10

10.  Chart for outcome prediction in severe head injury.

Authors:  S C Choi; J D Ward; D P Becker
Journal:  J Neurosurg       Date:  1983-08       Impact factor: 5.115

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  8 in total

Review 1.  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

Review 2.  Recommendations for the Critical Care Management of Devastating Brain Injury: Prognostication, Psychosocial, and Ethical Management : A Position Statement for Healthcare Professionals from the Neurocritical Care Society.

Authors:  Michael J Souter; Patricia A Blissitt; Sandralee Blosser; Jordan Bonomo; David Greer; Draga Jichici; Dea Mahanes; Evie G Marcolini; Charles Miller; Kiranpal Sangha; Susan Yeager
Journal:  Neurocrit Care       Date:  2015-08       Impact factor: 3.210

3.  Admission of patients with severe and moderate traumatic brain injury to specialized ICU facilities: a search for triage criteria.

Authors:  Chantal W P M Hukkelhoven; Ewout W Steyerberg; J Dik F Habbema; Andrew I R Maas
Journal:  Intensive Care Med       Date:  2005-04-16       Impact factor: 17.440

4.  Severe head injury and the risk of early death.

Authors:  G R Boto; P A Gómez; J De La Cruz; R D Lobato
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-06-01       Impact factor: 10.154

5.  Prognostic properties of the association between the S-100B protein levels and the mean cerebral blood flow velocity in patients diagnosed with severe traumatic brain injury.

Authors:  Sebastian Dzierzęcki; Mirosław Ząbek; Artur Zaczyński; Ryszard Tomasiuk
Journal:  Biomed Rep       Date:  2022-05-19

6.  Defenestration in children younger than 6 years old: mortality predictors in severe head trauma.

Authors:  Jose Roberto Tude Melo; Federico Di Rocco; Laudenor Pereira Lemos-Júnior; Thomas Roujeau; Bertrand Thélot; Christian Sainte-Rose; Philippe Meyer; Michel Zerah
Journal:  Childs Nerv Syst       Date:  2009-06-24       Impact factor: 1.475

7.  Clinical outcome and prognostic factors in elderly traumatic brain injury patients receiving neurointensive care.

Authors:  Samuel Lenell; Lena Nyholm; Anders Lewén; Per Enblad
Journal:  Acta Neurochir (Wien)       Date:  2019-04-13       Impact factor: 2.216

8.  Knowledge of Glasgow coma scale by air-rescue physicians.

Authors:  Catherine Heim; Patrick Schoettker; Nicolas Gilliard; Donat R Spahn
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2009-09-01       Impact factor: 2.953

  8 in total

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