Department of Anesthesiology, Hebei Gucheng Hospital, Hengshui 253800, Hebei, China.
Operation Room, Hebei Gucheng Hospital, Hengshui 253800, Hebei, China.
Comput Intell Neurosci. 2022 May 30;2022:8063874. doi: 10.1155/2022/8063874. eCollection 2022.
The aim of this study was to analyze the application of ultrasound-guided low-dose dexmedetomidine combined with lumbosacral plexus block based on artificial intelligence algorithm in the surgical treatment of proximal femoral fractures. 104 patients with proximal femoral fractures were divided into 52 cases in the experimental group (ultrasound-guided lumbosacral plexus block combined with dexmedetomidine based on local fitting image segmentation algorithm) and 52 cases in the routine group (endotracheal intubation and inhalation combined with general anesthesia). An image segmentation algorithm based on local fitting was constructed to enhance the ultrasound image. It was found that in the routine group, the heart rate (HR), systolic blood pressure (SBP), and diastolic blood pressure (DBP) at the beginning of intravenous injection of dexmedetomidine, during skin incision, and half an hour after skin incision were significantly lower than those at admission ( < 0.05). The pressing times of patient-controlled intravenous analgesia (PCIA) in the conventional group (17.05 ± 6.85 times) were significantly higher than that in the experimental group (8.55 ± 4.12 times), and the difference was statistically significant ( < 0.05). The visual analogue scale (VAS) scores at 1, 5, 10, and 15 after operation in the routine group were significantly higher than those in the experimental group ( < 0.05). The number of dizziness, nausea, and vomiting, venous thrombosis of lower limbs, cardiovascular events, and pulmonary infection in the routine group on the 1st, 2nd, and 3rd days after operation were significantly higher than those in the experimental group ( < 0.05). In summary, the ultrasound-guided lumbar plexus-sacral plexus block combined with dexmedetomidine anesthesia based on image segmentation algorithm can effectively maintain the hemodynamic stability of patients, with remarkable analgesic effect and high safety.
本研究旨在分析基于人工智能算法的超声引导下低剂量右美托咪定联合腰骶丛阻滞在股骨近端骨折手术治疗中的应用。将 104 例股骨近端骨折患者分为实验组（超声引导下腰骶丛阻滞联合基于局部拟合图像分割算法的右美托咪定）和常规组（气管插管吸入全身麻醉）各 52 例。构建基于局部拟合的图像分割算法以增强超声图像。结果发现，常规组患者静脉注射右美托咪定时、切皮时和切皮后半小时的心率（HR）、收缩压（SBP）和舒张压（DBP）均明显低于入院时（<0.05）。常规组患者自控静脉镇痛（PCIA）按压次数（17.05±6.85 次）明显高于实验组（8.55±4.12 次），差异有统计学意义（<0.05）。常规组患者术后 1、5、10、15 时的视觉模拟评分（VAS）明显高于实验组（<0.05）。常规组患者术后第 1、2、3 天头晕、恶心呕吐、下肢静脉血栓形成、心血管事件、肺部感染的例数明显高于实验组（<0.05）。综上所述，基于图像分割算法的超声引导下腰丛-骶丛阻滞联合右美托咪定麻醉可有效维持患者血流动力学稳定，具有显著的镇痛效果和较高的安全性。
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