Article
作者: Nencini, Patrizia ; De Michele, Manuela ; Bergui, Mauro ; Boghi, Andrea ; Tassinari, Tiziana ; Laiso, Antonio ; Longoni, Marco ; Allegretti, Luca ; Pracucci, Giovanni ; Alessiani, Michele ; Puglielli, Edoardo ; De Vito, Alessandro ; Comai, Alessio ; Vallone, Stefano ; Naldi, Andrea ; Menozzi, Roberto ; Da Ros, Valerio ; Russo, Monia ; Bosco, Giovanni ; Benedetti, Lorenzo ; Zini, Andrea ; Nicolini, Ettore ; Simonetti, Luigi ; Boero, Giovanni ; Ruggiero, Maria ; Invernizzi, Paolo ; Galvano, Gianluca ; Mangiafico, Salvatore ; Besana, Michele ; Mambrin, Francesca ; Lozupone, Emilio ; Bigliardi, Guido ; Konda, Daniel ; Maestrini, Ilaria ; Pensato, Umberto ; Franchini, Enrica ; Caggiula, Marcella ; Alberti, Matteo ; Milazzo, Nicola ; Pezzini, Alessandro ; Carità, Giuseppe ; Zimatore, Sergio ; Petruzzellis, Marco ; Caproni, Stefano ; Perri, Marco ; Filizzolo, Marco ; Saracco, Eleonora ; Casalena, Alfonsina ; Mannino, Marina ; Gallesio, Ivan ; De Santis, Federica ; Giossi, Alessia ; Cappellari, Manuel ; Persico, Alessandra ; Toni, Danilo ; Marcheselli, Simona ; Del Sette, Bruno ; Giannini, Nicola ; Ciacciarelli, Antonio ; Lazzarotti, Guido Andrea ; Allegritti, Massimiliano ; Markushi, Tiziana Benzi ; Pelle, Giuseppe ; Burdi, Nicola ; Saletti, Andrea ; Casetta, Ilaria ; Vinci, Sergio Lucio ; La Spina, Paolino ; Saia, Valentina ; Sallustio, Fabrizio ; Ferrandi, Delfina ; Bracco, Sandra ; Tassi, Rossana ; Fainardi, Enrico
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.