摘要
目的通过智能化病人自控镇痛(Ai-PCA)及其管理系统,探索剖宫产术后镇痛期间的适宜随访时机.方法通过智能化管理数据库,收集行腰硬联合麻醉剖宫产手术,并采用术后静脉自控镇痛(PCIA)的产妇102例,采用地佐辛(0.5 mg/kg)、氟比洛芬酯(150 mg)和多拉司琼(25 mg)稀释至120 mL,采用LCP模式,负荷剂量为5 mL,持续输注剂量为2 mL/h,单次自控按压剂量为2 mL,锁定时间15 min,极限量12 mL/h.观察产妇按压镇痛泵的时间及次数、疼痛评分、镇静程度评分和术后恶心呕吐(PONV)发生情况.结果与术后当天和术后第2天相比,产妇术后第1天按压止痛泵次数和术后疼痛评分显著增加(P<0.05),术后镇静水平显著降低(P<0.05).在PONV发生率方面,术后第1天的PONV发生率(42.2%)也明显高于术后当天(11.8%)和术后第2天(13.8%)的水平;而与术后第2天相比,术后当天和术后第1天PONV严重程度显著升高(P<0.05).术后第1天,2~4时和8~10时两个时间段止痛泵按压次数较多.结论采用腰硬联合麻醉剖宫产术后PCIA的产妇,术后第1天镇痛药物需求量更大,按压PCA次数最多,术后第1天8时前随访更为合理,有利于改善镇痛效果.
Objective To investigate the best timing for follow-up via artificial intelligence patient-controlled analgesia(Ai-PCA)and its management system for women after cesarean delivery.Methods By using a database of a smart pain management system,102 women after cesarean delivery with spinal-epidural anesthesia were included.The women received patient-controlled intravenous analgesia(P C IA)to relieve postoperative pain.We used dezocine(0.5 m g/k g),flurbiprofenaxetil axetil(150 mg)and dolasetron(25 mg)in com bination,and the total volume of the 3 drugs was diluted into 120 mL.The LCP model was chosen,with the loading dose(LD)of 5 m L,the continuous infusion volume of 2 mL/h,and the bolus volume of 2 mL.The minimal time interval was 15 min between two presses.The maximal infusion volume was modified to 12 mL/h.The total press times,the postoperative pain degree,sedation score,incidence of postoperative nausea and vomiting(PONV)and the PONV degree were assessed.Results Compared with on Day 0 and 2,significantly more anesthesia boluses were required on Day 1,with significantly higher pain degree and lower sedation score(P<0.05).The incidence of PONV on Day 1(42.2%)was significantly higher than that on Day 0(11.8%)and 2(13.8%).The PONV score on Day 2 was significantly lower than those on Day 0 and 1(P<0.05).During Day 1,the total press times during 2-4 o'clock and 8-10 o'clock were higher.Conclusion Women with spinal-epidural anesthesia undergoing cesarean delivery need more analgesics,and before 8 o'clock on Day 1 is more reasonable for follow-up to ameliorate the analgesic effect.
作者
贾济
周扬
胡渤
徐波
JIA Ji;ZHOU Yang;HU Bo;XU Bo(Department of Anesthesiology,General Hospital of Southern Theater Command of the PLA/Clinical Center of Anesthesiology of the PLA,Guangzhou 510010,Guangdong,China)
出处
《广东医学》
CAS
2020年第11期1092-1096,共5页
Guangdong Medical Journal
基金
国家自然科学基金资助项目(81801304,61773130)
广州市科技计划项目(201707010027)。
关键词
人工智能
病人自控静脉镇痛
剖宫产
随访
artificial intelligence
patient-controlled intravenous analgesia
cesarean delivery
follow-up