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How to Define Fast and Slow Progressors in Any-Type Occlusion Acute Ischemic Stroke

Published online by Cambridge University Press:  11 March 2022

Ali Z. Nomani*
Affiliation:
Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Alberta, Canada Department of Medicine, Division of Neurology, Red Deer Regional Hospital, Red Deer, Alberta, Canada
Jeremy L. Rempel
Affiliation:
Department of Radiology, University of Alberta, Edmonton, Alberta, Canada
Khurshid A. Khan
Affiliation:
Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Alberta, Canada
Ashfaq Shuaib
Affiliation:
Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Alberta, Canada
Glen C. Jickling
Affiliation:
Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Alberta, Canada
*
Corresponding author: Ali Nomani, MD, FCSC, MSc, FCPS, RPNI, Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Alberta, Canada. Email: anomani@ualberta.ca
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Abstract:

The variable rate of infarct progression in acute ischemic stroke as assessed by various thresholds excludes a substantial proportion of patients due to time or core constraints. We evaluated 106 patients with any-type occlusion to compare these thresholds and assessed performance of hypoperfusion index (HI) for fast and slow rate of infarct progression. Seven (12.5%) were classified fast progressors and 23 (46%), 25 (50%), 12 (24%), and 33 (66%) slow progressors using different core and time criteria. In comparison, HI categorized 100% (n = 106) of cohort with optimal cutoff 0.5 for any-type occlusion (slow progressors: HI ≤ 0.5), sensitivity/specificity 100%/91%, AUC 0.94, and indicative of eligibility for reperfusion and clinical outcomes (median 90-day modified Rankin Scale; 2 for HI ≤ 0.5 versus 5). Estimation of progressors by HI seems comprehensive but needs external validation.

Résumé :

RÉSUMÉ :

Comment définir les accidents vasculaires cérébraux ischémiques d’évolution rapide et ceux d’évolution lente, quel que soit le type d’oblitération?

La variabilité de la vitesse d’évolution des accidents vasculaires cérébraux ischémiques, estimée d’après différents seuils, écarte une bonne proportion de patients en raison de contraintes de temps ou de zone d’infarctus. Aussi avons-nous évalué l’état de 106 patients ayant subi un AVC, quel que soit le type d’oblitération, afin de comparer ces seuils avec la performance de l’indice d’hypoperfusion (IH) au regard de la vitesse d’évolution, rapide ou lente, des infarctus. Ainsi, selon les critères utilisés de zone d’infarctus et de temps, 7 patients (12,5 %) ont été classés en évolution rapide, tandis que 23 (46 %), 25 (50 %), 12 (24 %) et 33 (66 %) autres patients ont été classés en évolution lente. Par comparaison, l’IH a permis de classer 100 % des patients faisant partie de la cohorte (n = 106), à l’aide d’un seuil optimal de 0,5 pour tout type d’oblitération (en évolution lente : IH ≤ 0,5) : taux de sensibilité et de spécificité de 100 % et de 91 %, respectivement; surface sous la courbe de -0,94; indicateur d’admissibilité à la reperfusion et résultats cliniques (échelle de Rankin modifiée : valeur médiane au bout de 90 jours; 2 pour l’IH ≤ 0,5 contre 5). Il semble donc que l’appréciation de la vitesse d’évolution des AVC ischémiques d’après l’IH soit globale, mais une validation externe s’impose.

Information

Type
Brief Communication
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation
Figure 0

Figure 1: (A): Distribution of patient cohort. Onset to CT time in hours (x-axis) plotted against core volume in mL on CTP (y-axis). Top left (purple arrow) are fast progressing and bottom right (green arrow) are slow progressing. Bottom left (orange arrow) represents early presenting patients who do not meet conventional core and time threshold criteria to differentiate fast and slow progressors. (B): Receiver operating characteristic for predicting fast versus slow rate of core progression (core/time) using HI cutoff 0.5. Fast = >0.5, Slow = ≤0.5. (C): Mutual inclusion and exclusion of patients as slow progressors using different definition criteria A–D for slow progressors. Each circle shows the number of patients included by each definition (A–D) and shows if a patient is mutually inclusive or exclusive. Note that Definition D includes all patients from other definitions except 1. (D): Hypoperfusion Index (y-axis) versus Infarct Growth Rate that is, core/time (mL/min) (x-axis).

Figure 1

Table 1: Baseline characteristics

Figure 2

Figure 2: Distribution cohort using different definitions. Onset to CT Time in hours (x-axis) plotted against core volume in mL on CTP (y-axis). Small arrow heads points towards respective core volume cutoff used for each definition [lower limit for fast (dark purple arrow) and upper for slow (bright green arrow) progressor group]. Highlighted box areas represent progressor types (purple = fast, green = slow). (A): Definition “A.” (B): Definition “B.” (C): Definition “C.” (D): Definition “D.”

Figure 3

Figure 3: (A): Patient outcomes (modified Rankin Scale) in slow progressors (by different definitions) and fast progressors. (B): Patient outcomes in good (≤0.5) and poor (>0.5) hypoperfusion index groups in whole cohort.

Figure 4

Table 2: Patient characteristics between fast and slow progressor type in each definition

Supplementary material: File

Nomani et al. supplementary material

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