Association of Venous Outflow Profiles and Successful Vessel Reperfusion After Thrombectomy.
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ABSTRACT: Objective
Robust arterial collaterals are associated with successful reperfusion after thrombectomy treatment of acute ischemic stroke due to large vessel occlusion (AIS-LVO). Excellent venous outflow (VO) reflects excellent tissue perfusion and collateral status in AIS-LVO patients. To determine whether favorable VO profiles assessed on pre-treatment CT angiography (CTA) images correlate with successful vessel reperfusion after thrombectomy in AIS-LVO patients.Methods
Multicenter retrospective cohort study of consecutive AIS-LVO patients treated by thrombectomy. Baseline CTA was used to assess collateral status (Tan scale) and VO using the cortical vein opacification score (COVES). Favorable VO was defined as COVES ≥3. Primary outcome was excellent vessel reperfusion status (modified Thrombolysis In Cerebral Infarction [TICI] 2c-3). Secondary outcome was good functional outcome defined as 0-2 on the Modified Ranking Scale (mRS) after 90 days.Results
565 patients met inclusion criteria. Multivariable logistic regression analysis showed that favorable VO (OR= 2.10 [95% CI 1.39-3.16]; p<0.001) was associated with excellent vessel reperfusion during thrombectomy, regardless of good CTA collateral status (OR= 0.87 [95%CI 0.58-1.34]; p=0.48). A favorable VO profile (OR= 8.9 [95%CI 5.3-14.9]; p<0.001) and excellent vessel reperfusion status (OR = 2.7 [95%CI 1.7-4.4]; p<0.001) were independently associated with good functional outcome adjusted for age, sex, glucose, tPA administration, good CTA collateral status and presentation NIHSS.Conclusion
A favorable VO profile is associated with reperfusion success and good functional outcomes in patients with AIS-LVO treated by endovascular thrombectomy.
SUBMITTER: Faizy TD
PROVIDER: S-EPMC8253568 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundThe clinical course of patients with incomplete reperfusion after thrombectomy, defined as an expanded Thrombolysis in Cerebral Infarction (eTICI) score of 2a-2c, is heterogeneous. Patients showing delayed reperfusion (DR) have good clinical outcomes, almost comparable to patients with ad-hoc TICI3 reperfusion. We aimed to develop and internally validate a model that predicts DR occurrence in order to inform physicians about the likelihood of a benign natural disease progression.Patients and methodsSingle-center registry analysis including all consecutive, study-eligible patients admitted between 02/2015 and 12/2021. Preliminary variable selection for the prediction of DR was performed using bootstrapped stepwise backward logistic regression. Interval validation was performed with bootstrapping and the final model was developed using a random forests classification algorithm. Model performance metrics are reported with discrimination, calibration, and clinical decision curves. Primary outcome was concordance statistics as a measure of goodness of fit for the occurrence of DR.ResultsA total of 477 patients (48.8% female, mean age 74 years) were included, of whom 279 (58.5%) showed DR on 24 follow-up. The model's discriminative ability for predicting DR was adequate (C-statistics 0.79 [95% CI: 0.72-0.85]). Variables with strongest association with DR were: atrial fibrillation (aOR 2.06 [95% CI: 1.23-3.49]), Intervention-To-Follow-Up time (aOR 1.06 [95% CI: 1.03-1.10]), eTICI score (aOR 3.49 [95% CI: 2.64-4.73]), and collateral status (aOR 1.33 [95% CI: 1.06-1.68]). At a risk threshold of R = 30%, use of the prediction model could potentially reduce the number of additional attempts in one out of four patients who will have spontaneous DR, without missing any patients who do not show spontaneous DR on follow-up.ConclusionsThe model presented here shows fair predictive accuracy for estimating chances of DR after incomplete thrombectomy. This may inform treating physicians on the chances of a favorable natural disease progression if no further reperfusion attempts are made.
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