Intelligent Medical Assessment of the Impact of Anesthesia and Sedation Depth on Cognitive Function after Gynecological Laparoscopic Surgery.

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Xuerong Zhang, Xueying Yang, Qiong Zhao
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Abstract

In recent years, the research on post operational cognitive dysfunction (POCD) has received increasing attention. Some patients may experience complications such as mental disorder and memory impairment after gynecological laparoscopic surgery, which are cognitive, social, and personality issues of postoperative patients. This article divided patients after gynecological laparoscopic surgery into three groups based on different BIS (biological index) ranges. Before clinical use, artificial intelligence was used to sort out patients' complete history records, physical examination and analyze laboratory examination results, so as to determine the anesthetic dose and depth and reduce the incidence of accidents during surgery. This article adopted a combination of midazolam propofol radiocuronium bromide general anesthesia to adjust blood targeted concentration and maintain the depth of general anesthesia for patients. Using POCD as a starting point, the occurrence of POCD after gynecological laparoscopic surgery was evaluated through preoperative and postoperative neuropsychological measurements on the 14th day, as well as MMSE (Minimal State Examination) scores, and the impact of different anesthesia depths on POCD was also explored, which can provide a theoretical basis for the prevention and treatment of POCD. The MMSE score of Group A patients on the day before anesthesia was 23.9, while the MMSE score of Group B patients on the day before anesthesia was 23.8. The application of intelligent medicine in the study of the impact of anesthesia and sedation depth on gynecological laparoscopic surgery can improve the safety of surgery and the quality of life of patients, and has an important promoting role in clinical practice. The innovation of the research in this paper lies in the use of intelligent medical technology, through neuropsychological testing and MMSE scoring, in-depth analysis of the relationship between anesthesia depth and POCD.Combined anesthesia with midazolam and propofol was used, and the depth of anesthesia was precisely adjusted according to the BIS value.The study found that shallow anesthesia (low BIS value) may reduce the incidence of POCD, which provides theoretical and practical guidance for optimizing anesthesia strategies.

智能医学评估麻醉和镇静深度对妇科腹腔镜手术后认知功能的影响。
近年来,对手术后认知功能障碍(POCD)的研究越来越受到重视。部分患者在妇科腹腔镜手术后可能出现精神障碍、记忆障碍等并发症,这是术后患者的认知、社会和人格问题。本文根据不同BIS (biological index)范围将妇科腹腔镜手术后患者分为三组。临床使用前,利用人工智能整理患者完整的病史记录、体格检查和分析实验室检查结果,从而确定麻醉剂量和麻醉深度,减少术中意外事故的发生。本文采用咪达唑仑、异丙酚、放射性溴化库溴铵联合全麻调整患者血药靶浓度,维持全麻深度。以POCD为切入点,通过术前术后第14天的神经心理学测量,以及MMSE (Minimal State Examination)评分,评估妇科腹腔镜手术后POCD的发生情况,并探讨不同麻醉深度对POCD的影响,为POCD的防治提供理论依据。A组患者麻醉前一天MMSE评分为23.9,B组患者麻醉前一天MMSE评分为23.8。应用智能医学研究麻醉镇静深度对妇科腹腔镜手术的影响,可以提高手术的安全性和患者的生活质量,在临床实践中具有重要的促进作用。本文研究的创新之处在于利用智能医疗技术,通过神经心理测试和MMSE评分,深入分析麻醉深度与POCD的关系。采用咪达唑仑与异丙酚联合麻醉,根据BIS值精确调整麻醉深度。本研究发现浅麻醉(低BIS值)可降低POCD的发生率,为优化麻醉策略提供理论和实践指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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