인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Carotid artery (CA) stenosis intentionally increases ischemic stroke risk, particularly in symptomatic cases. CA stenting (CAS) has emerged as a minimally invasive procedure, offering potential advantages in high-surgical-risk populations. Purpose of the study: To compare CAS with the best medical treatment (BMT) for moderate degree symptomatic CA stenosis in terms of safety and efficacy in a sample of Egyptian patients. Methods This case–control cross-sectional study was carried out on 40 patients who required angiographic confirmation of 50–69% symptomatic carotid stenosis, a recent ischemic event [Transient ischemic attack (TIA)/stroke within 1–2 months], and the presence of ≥ 1 atherosclerotic risk factor (hypertension, diabetes mellitus, hyperlipidemia, or smoking). Patients were divided into two groups: Group I: subjected to CAS, and Group II (control group): subjected to BMT. Computed tomography (CT) and Magnetic resonance imaging (MRI) brain scans, along with duplex ultrasound (US) and CT angiography (CTA), were performed for diagnosis and follow-up. Results Group I LDL was significantly higher (166.9 mg/dl) vs. Group II (126.85 mg/dl) (p = 0.001). Both groups improved neurologically; Group II showed superior outcomes with 40% achieving MRS grade 0 and significant NIHSS improvement from 6.65 ± 3.05 to 3.15 ± 2.87 (p < 0.001). CAS reduced stenosis from 59.45 ± 6.59% to 18 ± 6.35% (p < 0.001). Complication rates were comparable. Conclusions CAS is as effective and safe as BMT for moderate symptomatic CA stenosis. CAS improved vascular outcomes and neurological function. Individualized treatment decisions are essential for optimizing patient outcomes.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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