Smoking-Thrombectomy Paradox: A Prospective Single-Center Study on the Impact of Smoking Status on Reperfusion Rates
CHEN, T.-N.; Huang, J.-Y.; Chen, T.-Y.; Wu, Y.-y.; Chen, P.-Y.; Chen, J.-S.; Liang, C.-L.; Lu, K.; Wang, H.-K.
Show abstract
BackgroundSmoking is a well-established risk factor for acute ischemic stroke, but its influence on endovascular thrombectomy outcomes remains unclear. While previous studies suggested a "smoking paradox" in thrombolysis, evidence regarding EVT is limited. MethodsWe conducted a prospective, single-center observational study of 169 patients with acute ischemic stroke who underwent EVT between January 2019 and March 2023, using data from a tertiary hospital thrombectomy database in Kaohsiung, Taiwan. Patients were categorized as smokers (n=52) or non-smokers (n=117). Baseline characteristics were adjusted using inverse probability of treatment weighting. The primary endpoint was complete reperfusion. Secondary outcomes included NIHSS scores at admission and 24 hours post-procedure, modified Rankin Scale at discharge, and complications. ResultsSmokers were younger and more often male, with lower rates of atrial fibrillation. After IPTW adjustment, smokers had significantly lower rates of complete reperfusion compared to non-smokers (30% vs. 53%; OR 0.39; 95% CI 0.19-0.79; p=0.01). They also presented with higher NIHSS scores at admission and 24 hours post-thrombectomy (p<0.05), and an increased risk of stroke-associated pneumonia (OR 2.98; p=0.003). No significant difference in discharge mRS was observed. ConclusionsSmoking is associated with reduced reperfusion success, worse neurological status, and higher pneumonia risk after EVT, but not with short-term functional outcome. These findings contradict the notion of a smoking-reperfusion paradox in EVT-treated AIS patients.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Predictors of survival in patients with ischemic stroke and active cancer: A prospective, multicenter, observational study 98%
- Disparities in Access to Vascular Stroke Imaging and Carotid Revascularization: A Population Study 96%
- COVID-19 Infection Is Associated with Poor Outcomes in Patients with Intracerebral Hemorrhage 96%
Similar papers in this journal
- White matter lesions as a prognostic marker of recurrence in cryptogenic stroke with high-risk patent foramen ovale 98%
- Vascular Risk Factor Prevalence and Trends in Native Americans With Ischemic Stroke - A National Inpatient Sample Analysis 96%
- High fibrinogen-prealbumin ratio (FPR) predicts stroke-associated pneumonia 95%
Similar papers in this journal
- Computed tomography perfusion parameters predictive of symptomatic intracranial hemorrhage after mechanical thrombectomy in patients with cerebral large vessel occlusion 97%
- Prehospital triage of intracranial hemorrhage and anterior large vessel occlusion ischemic stroke: the value of the rapid arterial occlusion evalution 96%
- Large Core Thrombectomy: Feasibility Of Simplified Protocol In Resource-Limited Settings 96%
Similar papers in this journal
- Normobaric Hyperoxia Combined with Endovascular Treatment Based on Temporal Gradient: A dose-escalation study 97%
- Improvement in Delivery of Ischemic Stroke Treatments but Stagnation of Clinical Outcomes in Young Adults in South Korea 97%
- Safety Outcomes of Mechanical Thrombectomy Versus Combined Thrombectomy and Intravenous Thrombolysis in Tandem Lesions 96%
Similar papers in this journal
- Endovascular thrombectomy: an effective and safe therapy for perioperative ischemic stroke 98%
- Short-term Functional Outcomes of Patients with acute intracerebral hemorrhage in the Native and Expatriate Population 96%
- Workflow Intervals andOutcomesof Endovascular Treatment for Acute Large-Vessel Occlusion During On- Versus Off-Hours in China The ANGEL-ACT Registry 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.