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Clinical Implications of Stroke Progressor Phenotypes defined based on ASPECTS decay and perfusion estimated infarct growth rate: insights from a large national thrombectomy registry

Articolo
Data di Pubblicazione:
2026
Abstract:
Introduction: Infarct growth rate (IGR) is highly heterogeneous among ischemic stroke patients, reflecting a spectrum of progressor phenotypes with clinical implications. We aim to compare different imaging approaches to investigate stroke progressors phenotypes and their clinical implications in patients undergoing thrombectomy. Methods: Data are from the prospective Italian Registry of Endovascular Treatment in Acute Stroke (IRETAS). Patients with M1/M2 occlusion and known symptom onset were included. Progressor phenotypes were defined using (1) NCCT-based definitions (ASPECTS points decay per hour < 0.25 pts/h=slow progressor, 0.25–0.50 pts/h=intermediate, and > 0.50 pts/h=fast); and (2) CTP-based definitions (CTP-estimated core divided by time of onset < 5 mL/h=slow progressors, 5–10mL/h=intermediate, and > 10 mL/h=fast). The primary outcome was 90-day good functional outcome (modified Rankin Scale [mRS] = 0–2). Associations were assessed with logistic regression analyses adjusted for age, sex, NIHSS, TICI score, thrombolysis, and imaging-to-recanalization time. Results: Of 26799 patients screened, 8322 (31.1%) were included (NCCT group: 8076; CTP group: 897 patients). NCCT-based progressor phenotype was associated with lower odds of good outcome (aOR 0.82 [95%CI = 0.72–0.92] per each progressor phenotype increase). ASPECTS decay per hour was associated with lower odds of good outcome (acOR 0.94 [95%CI = 0.89–0.99]). No significant association was observed for either CTP-based progressor phenotype or CTP-based IGR (mL/h). Similar findings were observed for secondary outcomes. Conclusions: In this large, real-world cohort of stroke patients, NCCT-based IGR was associated with functional outcomes, whereas CTP-based IGR was not. This highlights the need to refine and identify more accurate markers of infarct growth within perfusion imaging.
Tipologia CRIS:
14.a.1 Articolo su rivista
Keywords:
ASPECTS; CT Perfusion Imaging; Fast Progressors; Infarct Growth Rate; Stroke Phenotypes
Elenco autori:
Ciacciarelli, A.; Nicolini, E.; Saia, V.; Pracucci, G.; Pensato, U.; De Michele, M.; Benedetti, L.; Casetta, I.; Fainardi, E.; Marcheselli, S.; Da Ros, V.; Maestrini, I.; Simonetti, L.; Zini, A.; Vinci, S. L.; La Spina, P.; Laiso, A.; Nencini, P.; Del Sette, B.; Markushi, T. B.; Bracco, S.; Tassi, R.; Saletti, A.; De Vito, A.; Boghi, A.; Naldi, A.; Burdi, N.; Boero, G.; Vallone, S.; Bigliardi, G.; Lazzarotti, G. A.; Giannini, N.; Milazzo, N.; Persico, A.; Ruggiero, M.; Longoni, M.; Menozzi, R.; Pezzini, A.; Allegretti, L.; Tassinari, T.; Mambrin, F.; Cappellari, M.; Bergui, M.; Bosco, G.; Comai, A.; Franchini, E.; Lozupone, E.; Caggiula, M.; Zimatore, S.; Petruzzellis, M.; Gallesio, I.; Ferrandi, D.; Perri, M.; De Santis, F.; Puglielli, E.; Casalena, A.; Galvano, G.; Saracco, E.; Allegritti, M.; Caproni, S.; Alberti, M.; Invernizzi, P.; Carita, G.; Russo, M.; Besana, M.; Giossi, A.; Filizzolo, M.; Mannino, M.; Pelle, G.; Alessiani, M.; Konda, D.; Sallustio, F.; Mangiafico, S.; Toni, D.
Autori di Ateneo:
VINCI Sergio Lucio
Link alla scheda completa:
https://iris.unime.it/handle/11570/3358304
Pubblicato in:
NEUROLOGICAL SCIENCES
Journal
NEUROLOGICAL SCIENCES
Series
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