Nomogram to Predict Poor Outcome after Mechanical Thrombectomy at Older Age and Histological Analysis of Thrombus Composition: An easy scoring system to predict the risk of poor outcome after mechanical thrombectomy among the elderly is currently not available. Therefore, we aimed to develop a nomogram for predicting the probability of negative prognosis in aged patients with acute ischemic stroke undergoing thrombectomy. In addition, we sought to investigate the association between histological thrombus composition and stroke characteristics. To this end, we prospectively studied a developed cohort using data collected from a stroke center from November 2015 to December 2019. The main outcome was functional independence, defined as a modified at 90 days following a mechanical thrombectomy. A nomogram model based on multivariate logistic models was generated. The retrieved thrombi were stained with hematoxylin and eosin and assessed according to histological composition. Our results demonstrated that was independently associated with poor outcome. A total of 304 participants completed the follow-up data to generate the nomogram model. After multivariate logistic regression, five variables remained independent predictors of outcome, including older age, hemorrhagic transformation, thrombolysis in cerebral infarction score, National Institute of Health Stroke score, and neutrophil-to-lymphocyte ratio, and were used to generate the nomogram. The area under the receiver-operating characteristic curve of the model was 0.803. The clots from elderly subjects with large-artery atherosclerosis, anterior circulation, and successful recanalization groups had a higher percentage of fibrin compared to those of younger patients. This is the first nomogram to be developed and validated in a stroke center cohort for individualized prediction of poor outcome in elderly patients after mechanical thrombectomy. Clot composition provides valuable information on the underlying pathogenesis of oxidation in older patients.

Mechanical thrombectomy is not only effective for managing patients with acute ischemic stroke (AIS), but it also enables a valuable histological analysis of thrombi. Previous studies indicated that regulatory T cells (Treg) adoptive transfer might alleviate the hemorrhagic transformation. However, whether Treg in intracranial thrombi correlates with hemorrhagic transformation after mechanical thrombectomy remains unclear. This study mainly analyzed the colocation of Treg markers in serial thrombus sections stained serially for CD4 and CD25 in groups of hemorrhagic or nonhemorrhagic transformation. Second, to investigate whether these immunohistochemical parameters could provide any additional information beyond hemorrhagic transformation, we compared the overlap between Treg markers among other groups, such as functional outcomes, stroke subtypes, and gender. Our results showed that the number of CD4⁺CD25⁺ Treg cells was lower in the hemorrhagic transformation thrombi than in the nonhemorrhagic group (p < 0.001) but there were no significant differences otherwise. The present finding of CD4⁺CD25⁺ Treg cell reductions in thrombi associated with hemorrhagic transformation provides the histological evidence supporting that thromboinflammation might involve in the pathological process of an acute stroke after mechanical thrombectomy.

Purpose. Hyperdense lesions are frequently revealed on flat panel CT (FP‐CT) immediately after endovascular thrombectomy in patients with acute ischemic stroke. This study is aimed at discriminating hyperdense lesions caused by extravasation plus hemorrhage from those caused by contrast extravasation alone. Methods. We retrospectively analyzed clinical and radiological data of patients who underwent an immediate postprocedure FP‐CT scan and a follow‐up noncontrast CT 24 hours after thrombectomy. We especially focused on the Maximum Hounsfield Units (HU_max) of each hyperdense lesion. A hyperdense lesion was judged to be hemorrhagic when it persisted on noncontrast CT and/or developed a mass effect. Results. Of 81 patients included in this study, 32 (39.5%) patients presented 41 hyperdense lesions on FP‐CT. The chance of hemorrhagic transformation is higher in patients with hyperdense lesions on FP‐CT than that in patients without hyperdense lesions (23/32 vs. 1/49, p < 0.001). The HU_max of hyperdensity on FP‐CT can predict hemorrhagic transformation with an area under the curve of 0.805 (95% CI: 0.67‐0.94, p = 0.02). The sensitivity, specificity, positive, and negative predictive values of hyperdensity on FP‐CT for hemorrhagic transformation were 96%, 84%, 72%, and 98%, respectively. A HU_max of >600 predicted hemorrhagic transformation with a sensitivity of 50% and a specificity of 100%. Conclusions. The presence of hyperdensity on FP‐CT can predict hemorrhagic transformation with a high sensitivity and negative predictive value. The measurement of HU_max of hyperdense lesion on FP‐CT can be applied to the management of patients undergoing endovascular recanalization.