Objectives: Whether the direct aspiration approach of thrombectomy for recanalization in patients with acute ischemic stroke has a similar efficacy and safety compared to the stent-retriever still remains uncertain.
Methods: A retrospective data analysis was performed to identify patients with large cerebral artery acute ischemic stroke treated with endovascular thrombectomy. The study was conducted between January 2018 and December 2019 in a single stroke center.
Results: Twenty patients met inclusion criteria for this study with a mean age 66.64 ± 17.92 years' old. The symptom occurred on the left side were in 13, and the right side in 7. The location of occlusion was 8 in M1 of the middle cerebral artery of M2, and 6 in internal carotid artery. Nine patients were randomized to first-line treatment with contact aspiration and eleven to first-line treatment with a stent retriever. The mean time from admission time to groin puncture was 55.51 ± 31.03 minutes. The average time from groin puncture to maximal revascularizion after mechanical thrombectomy was 50.9 ± 22.5 minutes in contact aspiration group, but this time was 71.37 ± 25.45 minutes in the group of stent retriever. The overall successful revascularization rate (TICI 2b-3) was 88.9% in contact aspiration (TICI2a = 1, TICI 2b = 4 patients, TICI 3 = 4 patients), and 90.1% in stent retriever (TICI2a = 1, TICI 2b = 6 patients, TICI 3 = 4 patients).
Discussion: First-line thrombectomy with contact aspiration did not result in a higher successful revascularization rate at the end of the procedure but had a short time from groin puncture to maximal revascularizion.
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http://dx.doi.org/10.1097/SCS.0000000000007264 | DOI Listing |
Dysphagia
December 2024
Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, No. 600, Tianhe Road, Tianhe District, Guangzhou City, Guangdong Province, China.
To investigate the characteristics of respiratory-swallow coordination (RSC) in poststroke dysphagia (PSD) patients following infratentorial stroke (IS) and further explore their association with aspiration. PSD patients after IS and age-matched healthy controls were recruited. Nasal airflow and sound signals were recorded using a nasal cannula-type flow sensor and contact microphone, which were synchronized with videofluoroscopic swallowing studies (VFSS).
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Biomaterial-associated infections (BAIs) pose significant challenges in modern medical technologies, being a major postoperative complication and leading cause of implant failure. These infections significantly risk patient health, resulting in prolonged hospitalization, increased morbidity and mortality rates, and elevated treatment expenses. This comprehensive review examines the mechanisms driving bacterial adhesion and biofilm formation on biomaterial surfaces, offering an in-depth analysis of current antimicrobial strategies for preventing BAIs.
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General Surgery Department "B", La Rabta Hospital, The Faculty of Medicine, The University of Tunis El Manar, Tunis, Tunisia.
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Exploiting the self-assembled molecules (SAMs) as hole-selective contacts has been an effective strategy to improve the efficiency and long-term stability of perovskite solar cells (PSCs). Currently, research works are focusing on constructing SAMs on metal oxide surfaces in p-i-n PSCs, but realizing a stable and dense SAM contact on halide perovskite surfaces in n-i-p PSCs is still challenging. In this work, the hole-selective molecule for n-i-p device is developed featuring a terephthalic methylammonium core structure that possesses double-site anchoring ability and a matching diameter (6.
View Article and Find Full Text PDFBioengineering (Basel)
November 2024
School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
In elderly monitoring or indoor intrusion detection, the recognition of human activity is a key task. Owing to several strengths of Wi-Fi-based devices, including their non-contact and privacy protection, these devices have been widely applied in the area of smart homes. By the deep learning technique, numerous Wi-Fi-based activity recognition methods can realize satisfied recognitions, however, these methods may fail to recognize the activities of an unknown person without the learning process.
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