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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Intensive care medicine 22 (1996), S. 1391-1395 
    ISSN: 1432-1238
    Keywords: Head injury ; Prognosis ; Trauma severity ; Grading system ; Logistic regression model ; Cox regression analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: 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.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Intensive care medicine 22 (1996), S. 1391-1395 
    ISSN: 1432-1238
    Keywords: Key words Head injury ; Prognosis ; Trauma severity ; Grading system ; Logistic regression model ; Cox regression analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: 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.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Child's nervous system 16 (2000), S. 697-701 
    ISSN: 1433-0350
    Keywords: Keywords Craniocervical junction ; Atlas ; Axis ; Basilar invagination ; Atlantoaxial invagination ; Surgery
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine
    Notes: Abstract  The discovery of a craniocervical junction malformation requires management in three steps: (1) The patterns must be recognized using tomographic measurements (Chamberlain’s line, Wackenheim’s line). Dynamic flexion–extension studies are necessary to assess stability or instability. Stable patterns range from platybasia to basilar invagination, with gradual deformation, and are frequently associated with Chiari malformation. Unstable patterns characterized by odontoid instability are the equivalent of an odontoid fracture. The origin is malformative (hypoplasia, aplasia of the dens, os odontoidum), but the last may be difficult to distinguish from an old odontoid fracture. They are found in many syndromes (Down, Morquio, etc.). Unstable atlanto- axial patterns with atlas assimilation are hardly reducible; they evolve toward progressive instability. (2) The neurological consequences must be defined from the clinical features of the spinal cord and the cranial nerves. Both static and dynamic MRI scans must be performed; in this way identification of the neural abnormalities (hydromyelia, Chiari, etc.) and of the osseous compression is possible. (3) The most appropriate operative procedure must be selected: stable platybasia with a nervous compression by Chiari is cured only by posterior decompression; odontoid instability is cured by reduction and posterior fixation, using hooks and autologous bone grafts on the posterior arches of C–1 and C–2. Sometimes a transarticular screw fixation of C1–2 is necessary if there is a defect on the C–1 posterior arch. Craniocervical dislocations with assimilation of the atlas require posterior occipito-vertebral bony fixation with grafts and external halo immobilization or internal fixation with hooks or screws, with anterior transoral decompression in a second step.
    Type of Medium: Electronic Resource
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