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  • High Specificity Identification of Acute Large Vessel Stroke: Maximizing Cohort Selection for Potential Mechanical Thrombectomy

    Final Number:
    1032

    Authors:
    Scott L. Zuckerman MD; Ahilan Sivaganesan MD; Chi Zhang BS; Michael C. Dewan MD; Peter J. Morone MD; J Mocco

    Study Design:
    Other

    Subject Category:

    Meeting: Congress of Neurological Surgeons 2014 Annual Meeting

    Introduction: With mechanical thrombectomy (MT), 0-4.5hr patients ineligible for IV tPA likely benefit from recanalization therapy, and >4.5hr patients may also benefit. However, limited centers provide MT. To transfer all high NIHSS patients would be inefficient and costly, as NIHSS is a poor surrogate for large vessel occlusion (LVO). We identify an NIHSS subset analysis that initial evaluators can use to identify LVO patients, for whom MT may be beneficial.

    Methods: Acute stroke alerts presenting to VUMC from 2012 to 2013 (779) were evaluated for presentation NIHSS. All patients had vascular imaging and 125 demonstrated LVO. Modified receiver operating characteristic (ROC) curves were generated for each combination of three NIHSS items. Subsets were ranked by a modified area under the curve (AUC). False negative rates could not exceed 80%, enabling comparison of each combination’s specificity for LVO while ensuring >20% sensitivity.

    Results: The 3 NIHSS subset with the largest modified AUC was “Facial Palsy”, “Language”, and “Extinction”. Given that “Language” could bias selection towards left hemisphere stroke, we identified the best AUC subset after excluding “Language”: “Level of Consciousness – Questions”, “Facial Palsy”, and “Extinction”. Using 4 out of 7 possible points as cutoff, these criteria have 89.3% specificity and 28.8% sensitivity for LVO. Figure 1 shows the modified ROC curve.

    Conclusions: We present a three-item score, derived from the NIHSS that is 89% specific for LVO. Hospitals without MT capabilities can use this easy to implement score to identify patients, with a likelihood of being correct for 9/10 referrals, who may benefit from transfer to a MT providing center. However, to maximize specificity, we have chosen to settle for only 29% sensitivity, with 2/3 of LVO not being detected. It is hoped that this scale may provide a reasonable balance of resource utilization and potential patient benefit.

    Patient Care: We hope our research will expedite the triage of acute stroke patients and improve the time for which mechanical thrombectomy candidates are transferred to major stroke centers.

    Learning Objectives: To arm initial healthcare evaluators with a simple, easy to implement scoring system to efficiently stratify acute stroke patients who are candidates for emergent mechanical thrombectomy.

    References:

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