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Comparative Study
. 2019 Jul;14(5):530-539.
doi: 10.1177/1747493018801225. Epub 2018 Sep 13.

Clinical prediction of thrombectomy eligibility: A systematic review and 4-item decision tree

Affiliations
Comparative Study

Clinical prediction of thrombectomy eligibility: A systematic review and 4-item decision tree

Gaia T Koster et al. Int J Stroke. 2019 Jul.

Abstract

Background: A clinical large anterior vessel occlusion (LAVO)-prediction scale could reduce treatment delays by allocating intra-arterial thrombectomy (IAT)-eligible patients directly to a comprehensive stroke center.

Aim: To subtract, validate and compare existing LAVO-prediction scales, and develop a straightforward decision support tool to assess IAT-eligibility.

Methods: We performed a systematic literature search to identify LAVO-prediction scales. Performance was compared in a prospective, multicenter validation cohort of the Dutch acute Stroke study (DUST) by calculating area under the receiver operating curves (AUROC). With group lasso regression analysis, we constructed a prediction model, incorporating patient characteristics next to National Institutes of Health Stroke Scale (NIHSS) items. Finally, we developed a decision tree algorithm based on dichotomized NIHSS items.

Results: We identified seven LAVO-prediction scales. From DUST, 1316 patients (35.8% LAVO-rate) from 14 centers were available for validation. FAST-ED and RACE had the highest AUROC (both >0.81, p < 0.01 for comparison with other scales). Group lasso analysis revealed a LAVO-prediction model containing seven NIHSS items (AUROC 0.84). With the GACE (Gaze, facial Asymmetry, level of Consciousness, Extinction/inattention) decision tree, LAVO is predicted (AUROC 0.76) for 61% of patients with assessment of only two dichotomized NIHSS items, and for all patients with four items.

Conclusion: External validation of seven LAVO-prediction scales showed AUROCs between 0.75 and 0.83. Most scales, however, appear too complex for Emergency Medical Services use with prehospital validation generally lacking. GACE is the first LAVO-prediction scale using a simple decision tree as such increasing feasibility, while maintaining high accuracy. Prehospital prospective validation is planned.

Keywords: Acute ischemic stroke; clinical scale; endovascular thrombectomy; intra-arterial thrombectomy; large vessel occlusion; prehospital.

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Figures

Figure 1.
Figure 1.
Flowchart systematic literature search. LAVO: large anterior vessel occlusion; STROBE: strengthening the reporting of observational studies in epidemiology.
Figure 2.
Figure 2.
Receiver operating characteristics (ROC) curves of identified LAVO-prediction scales, and the NIHSS and FAST score. For every LAVO-prediction scale, the marked point in the ROC indicates the combination of sensitivity and specificity at the original authors’ recommended cut-off point. 3I-SS: 3-item stroke scale; CPSSS: Cincinnati prehospital stroke severity scale; FAST: Face-arm-speech-time; FAST-ED: Face-arm-speech-time-eye deviation-denial/neglect; G-FAST: Gaze-face-arm-speech-time; NIHSS: National institutes of health stroke scale; PASS: Prehospital acute stroke severity; RACE: Rapid arterial occlusion evaluation; VAN: Vision aphasia neglect.
Figure 3.
Figure 3.
GACE decision tree diagram based on dichotomized NIHSS items (assessed in DUST). Numbers on the left side of each bottom box indicate the number of patients (percentage) with a LAVO outcome, whereas numbers on the right side of each bottom box indicate the number of patients (percentage) with a non-LAVO outcome. The color of each box indicates the ratio of LAVO (green) and non-LAVO patients (blue): the higher intensity of the color, the higher the ratio. 830 patients (61%, group a, b and c) reach an outcome (i.e. LAVO or non-LAVO) after assessment of only 2 items. LAVO: large anterior vessel occlusion; LOC: level of consciousness.

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