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Nontraumatic "spindle coma": clinical, EEG, and prognostic features

C W Britt

    Neurology
    |April 1, 1981
    PubMed
    Summary

    Spindle coma, characterized by altered consciousness and specific EEG patterns, has a poor prognosis in comatose patients with brainstem dysfunction. Early-stage stupor or semicoma with preserved brainstem function indicates a better survival rate.

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    Area of Science:

    • Neurology
    • Neurophysiology
    • Clinical Neuroscience

    Background:

    • Spindle coma is defined as altered consciousness with electroencephalographic (EEG) activity similar to slow-wave sleep.
    • Understanding the prognostic indicators of spindle coma is crucial for patient management.

    Purpose of the Study:

    • To investigate the clinical and pathological factors influencing the outcome of spindle coma.
    • To differentiate prognostic outcomes based on the initial level of consciousness and neurological examination findings.

    Main Methods:

    • Review of clinical, EEG, and pathological data from 36 patients diagnosed with spindle coma.
    • Classification of patients into two groups based on initial consciousness level: stuporous/semicomatose versus comatose.
    • Correlation of neurological examination findings, particularly brainstem motor function, with patient survival.

    Main Results:

    • Fifteen patients presented as stuporous or semicomatose; 14 survived, with no brainstem motor function abnormalities.
    • Twenty-one patients were comatose; 20 had brainstem motor function abnormalities, and only 4 survived.
    • Impaired brainstem motor function in comatose patients was strongly associated with mortality.

    Conclusions:

    • The level of consciousness and presence of brainstem motor dysfunction are critical prognostic indicators in spindle coma.
    • Nontraumatic spindle coma carries an unfavorable outcome in patients who are fully comatose and exhibit impaired brainstem motor function.
    • Early identification of neurological deficits can aid in predicting patient outcomes for spindle coma.

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