智能化静脉镇痛系统在下肢骨折患者术后镇痛应用的效果观察  

Effects of artificial intelligence patient‑controlled analgesia in postoperative pain management of patients undergoing lower limb surgery

作　　者：华豪 徐艳 王猛 李鑫 刘坤 Hua Hao;Xu Yan;Wang Meng;Li Xin;Liu Kun(Department of Anesthesiology,Wuxi 9th People's Hospital,Wuxi 214062,China)

机构地区：[1]无锡市第九人民医院麻醉科,无锡214062

出　　处：《国际麻醉学与复苏杂志》2023年第11期1151-1155,共5页International Journal of Anesthesiology and Resuscitation

基　　金：无锡市科学技术协会软课题(KX‑22‑C052)。

摘　　要：目的:观察智能化静脉镇痛系统(artificial intelligence patient-controlled analgesia, Ai-PCA)在下肢骨折手术患者术后镇痛应用的效果。方法:选择行胫腓骨双骨折内固定术的患者80例,按随机数字表法分为2组:智能化镇痛管理系统组(A组)和传统电子静脉镇痛泵组(P组),每组40例。两组麻醉方法及追加镇痛方法相同,A组采用智能化镇痛管理模式,P组采用传统镇痛管理模式。记录两组患者术后4、8、12、24、48 h时的静息及运动数字分级评分法(Numerical Rating Scale, NRS)疼痛评分,术前1 d及术后1、2 d的匹兹堡睡眠质量指数(Pittsburgh sleep quality index, PSQI)评分,术后48 h内镇痛泵总按压次数、有效按压次数、舒芬太尼总用量,术后眩晕、恶心呕吐发生率及患者满意度。结果:与P组比较,A组各时点静息和运动NRS疼痛评分降低( P<0.05),术后1、2 d PSQI评分降低( P<0.05),患者满意度升高( P<0.05)。两组患者术后48 h内镇痛泵总按压次数、有效按压次数、舒芬太尼总用量及术后眩晕、恶心呕吐发生率差异无统计学意义( P>0.05)。 结论:Ai-PCA能够提高下肢骨折患者术后镇痛的效果,改善睡眠质量,提高患者满意度。Objective To observe the applied effect of artificial intelligence patient‑controlled analgesia(Ai‑PCA)in postop‑erative pain management of patients undergoing lower limb surgery.Methods A total of 80 patients who underwent internal fixation for double tibia and fibula fractures were divided into 2 groups using the random number table method:intelligent analgesic manage‑ment system group(group A)and traditional electronic intravenous analgesic pump group(group P),with 40 cases in each group.The methods of anesthesia and additional analgesia were the same in the two groups.Group A utilized the intelligent analgesic management mode,while the Group P used the traditional analgesic management mode.Pain scores were evaluated using the Numerical Rating Scale(NRS)scores at 4,8,12,24 h,and 48 h after the operation in both groups.The Pittsburgh sleep quality index(PSQI)scores were recorded 1 d before the operation,as well as one and 2 d after the operation.Additionally,the total frequency of compressions,effective compressions,total consumption of sufentanil,incidence of postoperative vertigo,nausea and vomiting,patient satisfaction within 48 h after surgery were also recorded.Results Compared to group P,the NRS scores at rest and during movement were significantly re‑duced at each time point(P<0.05).The PSQI scores at 1 and 2 days after the operation also showed a decrease(P<0.05),while patient satisfaction increased in group A(P<0.05).There were no significant differences between the two groups in terms of the total pressing times of the analgesic pump,the effective pressing times,the total consumption of sufentanil,and the incidence of vertigo,nausea and vomiting within 48 h after the operation(P>0.05).Conclusions Ai‑PCA can improve the effect of postoperative pain management,improve sleep quality,and increase patient satisfaction in patients with lower limb fractures.

关 键 词：人工智能 患者自控静脉镇痛 术后镇痛 睡眠质量 

分 类 号：R614[医药卫生—麻醉学]