- Author:
Hyungwoo LEE
1
;
JoonNyung HEO
;
Jae Wook JUNG
;
Hyo Suk NAM
;
Ji Hoe HEO
;
Minyoul BAIK
;
Joonsang YOO
;
Jinkwon KIM
;
Tae-Jin SONG
;
Gyu Sik KIM
;
Kwon-Duk SEO
;
Tae Dong OK
;
Jin Kyo CHOI
;
Il KWON
;
Young Dae KIM
;
Author Information
- Publication Type:Original Article
- From:Journal of Stroke 2026;28(2):263-272
- CountryRepublic of Korea
- Language:English
-
Abstract:
Background:and Purpose The relationship between thrombus histology and long-term stroke patient outcomes remains unexplored. We aimed to determine whether the histological characteristics of thrombi are associated with long-term outcomes in stroke patients and to identify the thrombus features linked to these outcomes.
Methods:This retrospective multicenter cohort study included 512 patients with ischemic stroke who underwent endovascular thrombectomy between July 2017 and July 2023. Patients were followed up for long-term major adverse cardiovascular events occurrence. Thrombus histology was assessed using immunohistochemistry, including the proportion of fibrin, red blood cells, and platelets, as well as the distribution patterns categorized as layered, erythrocytic, diffuse platelet, and mixed.
Results:During a median follow-up of 38.1 months, 164 patients experienced major adverse cardiovascular events, with an incidence rate of 3.02 per 100 person-years. Major adverse cardiovascular events occurrence was associated with the diffuse platelet pattern and proportion of platelets and red blood cells within the thrombus. After adjusting for confounders, the diffuse platelet pattern independently predicted major adverse cardiovascular events, including mortality and stroke recurrence. Subgroup analysis also demonstrated that the association between the diffuse platelet pattern and major adverse cardiovascular events was consistent across key clinical subgroups based on age (≥65 vs. <65 yr), atrial fibrillation, cancer status, and discharge medications.
Conclusions:Thrombus histology could provide predictive value for long-term prognosis. In particular, histological distribution patterns may be more important than simple composition in thrombus research, including in the prediction of prognosis.

