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作 者:童鹏才 徐小凯 洪婷 吴沛琴 TONG Pengcai;XU Xiaokai;HONG Ting;WU Peiqin(Leping Maternal and Child Health Care Hospital,Leping Jiangxi 333300,China)
出 处:《药品评价》2023年第8期1024-1027,共4页Drug Evaluation
基 金:景德镇市科技计划项目(20222SFZC062)。
摘 要:目的研究右美托咪定辅助全身麻醉妇科腹腔镜手术患者术后麻醉恢复期躁动的影响并构建术后风险预测模型。方法选取乐平市妇幼保健院2020年4月至2023年3月期间采用全身麻醉妇科腹腔镜手术的220例患者,根据术后麻醉恢复期是否发生躁动分为发生组(56例)和未发生组(164例)。回顾性分析临床资料,行单因素和多因素logistics回归分析,筛选术后麻醉恢复期躁动发生的独立危险因素,采用决策曲线分析评估模型临床效能。结果年龄、高血压、糖尿病、导尿管留置、手术时间、术后镇痛、术后疼痛、血氧饱和度(SpO_(2))是术后麻醉恢复期患者躁动的影响因素(P<0.05)。logistic多元回归分析提示:高血压、导尿管留置、术后疼痛是妇科腹腔镜手术患者术后麻醉恢复期躁动发生的独立危险因素,SpO_(2)、术后镇痛是影响因素中的保护因素(P<0.05)。结论构建的风险预测模型可指导临床甄别高危人群,为患者的防治提供重要指导策略。Objective To explore the influence of dexmedetomidine assisted general anesthesia in gynecological laparoscopic surgery patients with postoperative agitation during anesthesia recovery and construct a postoperative risk prediction model.Methods A total of 220 patients undergoing gynecological laparoscopic surgery under general anesthesia from April 2020 to March 2023 were selected as samples.According to whether agitation occurred during the postoperative anesthesia recovery period,they were divided into occurrence group(56 cases)and non-occurrence group(164 cases).Clinical data were retrospectively analyzed,univariate and multivariate logistic regression analysis was performed,independent risk factors of postoperative agitation during anesthesia recovery were screened,and the clinical efficacy of the model was evaluated by decision curve analysis.Results Age,hypertension,diabetes,indwelling catheter,operation duration,postoperative analgesia,postoperative pain and blood oxygen saturation(SpO_(2))were the influencing factors of restlessness in patients during postoperative anesthesia recovery period(P<0.05).Logistic multiple regression analysis showed that hypertension,indwelling catheter and postoperative pain were independent risk factors for postoperative agitation in patients undergoing gynecological laparoscopic surgery,and SpO_(2)and postoperative analgesia were protective factors among the influencing factors(P<0.05).Conclusion The risk prediction model constructed in this study can guide clinical screening of high-risk groups,which provides an important guidance strategy for the prevention and treatment of patients.
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