• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[预防重症患者谵妄的最佳疼痛控制目标]

[Optimal pain control goal for preventing delirium in critical patients].

作者信息

Qin Yunjian, Li Ying, Chen Jianqin, Zeng Fenghua, Zhang Hongxia

机构信息

Department of Intensive Care Unit, the First People's Hospital of Changde, Changde 415000, Hunan, China. Corresponding author: Li Ying, Email:

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Jan;33(1):84-88. doi: 10.3760/cma.j.cn121430-20200828-00600.

DOI:10.3760/cma.j.cn121430-20200828-00600
PMID:33565407
Abstract

OBJECTIVE

To study the optimal pain control goal for preventing delirium in critical patients.

METHODS

A prospective cohort study were conducted. The patients admitted to general departments and transferred to the intensive care unit (ICU) due to critical illness in the First People's Hospital of Changde from January 2017 to November 2019 were enrolled. The General data of the patients were collected within 48 hours after admission. All patients admitted to the ICU were evaluated for pain level using the critical care pain observation tool (CPOT) every 8 hours by nurses, and confusion assessment method of ICU (CAM-ICU) was used to screen delirium patient every 8 hours by the leader of nursing team without knowing the pain level of the patients, until the subjects were transferred out of ICU. The receiver operating characteristic (ROC) curve was drawn, the area under ROC curve (AUC) and the optimal threshold were analyzed with delirium as the reference standard; according to the optimal threshold, multivariate Logistic regression analysis was used to evaluate the correlation between CPOT score and delirium.

RESULTS

During the study period, 575 patients were admitted to the participating departments and passed the preliminary screening according to the inclusion and exclusion criteria. During the study period, 34 patients were excluded due to incomplete data. Finally, a total of 541 patients were enrolled in the analysis, including 149 patients in delirium group and 392 patients in non-delirium group. There was no significant difference in gender, age, source of patients, education level, smoking history, drinking history, family mental history, acute physiology and chronic health evaluation II (APACHE II) score or other general information between the two groups. There were 10.1% (15/149) of patients in the delirium group used opioids, which was significantly higher than 4.3% (17/392) in the non-delirium group, and the difference was statistically significant (P < 0.05). The CPOT score in the delirium group was significantly higher than that in the non-delirium group (4.24±1.78 vs. 2.75±1.95, P < 0.01). The patients were subdivided into young group (< 40 years old), middle-aged group (40-65 years old) and old group (> 65 years old) according to age. The analysis results were consistent with the overall analysis results. ROC curve analysis showed that the AUC of CPOT score predicting delirium was 0.719; when the best threshold value of CPOT score was 2.5, the sensitivity was 91.3%, the specificity was 49.0%, the positive predictive value was 40.5% and the negative predictive value was 93.7%. Multivariate Logistic regression analysis showed that the risk of delirium in ICU patients with CPOT score ≥ 3 was 10.043 times higher than that in patients with CPOT score < 3 [odds ratio (OR) = 10.043, 95% confidence interval (95%CI) was 5.498-18.345, P < 0.001]. When the gender, age, APACHE II score, smoking history, drinking history, opioids usage were adjusted, the risk of delirium in patients with CPOT score ≥ 3 was 10.719 times higher than that in patients with CPOT score < 3 (OR = 10.719, 95%CI was 5.689-20.196, P < 0.001).

CONCLUSIONS

The best pain control goal for preventing the occurrence of delirium in ICU patients is a CPOT score of 3 or less.

摘要

目的

研究预防危重症患者谵妄的最佳疼痛控制目标。

方法

进行一项前瞻性队列研究。纳入2017年1月至2019年11月在常德市第一人民医院因危重症入住普通科室后转入重症监护病房(ICU)的患者。在入院后48小时内收集患者的一般资料。ICU所有患者由护士每8小时使用重症监护疼痛观察工具(CPOT)评估疼痛程度,护理团队组长在不知道患者疼痛程度的情况下每8小时使用ICU意识模糊评估法(CAM-ICU)筛查谵妄患者,直至患者转出ICU。绘制受试者工作特征(ROC)曲线,以谵妄为参考标准分析ROC曲线下面积(AUC)及最佳阈值;根据最佳阈值,采用多因素Logistic回归分析评估CPOT评分与谵妄的相关性。

结果

研究期间,575例患者入住参与研究科室并根据纳入和排除标准通过初步筛查。研究期间,34例患者因数据不完整被排除。最终,共541例患者纳入分析,其中谵妄组149例,非谵妄组392例。两组在性别、年龄、患者来源、教育程度、吸烟史、饮酒史、家族精神病史、急性生理与慢性健康状况评分II(APACHE II)或其他一般资料方面无显著差异。谵妄组使用阿片类药物的患者占10.1%(15/149),显著高于非谵妄组的4.3%(17/392),差异有统计学意义(P<0.05)。谵妄组CPOT评分显著高于非谵妄组(4.24±1.78 vs. 2.75±1.95,P<0.01)。根据年龄将患者分为青年组(<40岁)、中年组(40-65岁)和老年组(>65岁),分析结果与总体分析结果一致。ROC曲线分析显示,CPOT评分预测谵妄的AUC为0.719;当CPOT评分最佳阈值为2.5时,灵敏度为91.3%,特异度为49.0%,阳性预测值为40.5%,阴性预测值为93.7%。多因素Logistic回归分析显示,CPOT评分≥3的ICU患者发生谵妄的风险比CPOT评分<3的患者高10.043倍[比值比(OR)=10.043,95%置信区间(95%CI)为5.498-18.345,P<0.001]。调整性别、年龄、APACHE II评分、吸烟史、饮酒史、阿片类药物使用情况后,CPOT评分≥3的患者发生谵妄的风险比CPOT评分<3的患者高10.719倍(OR=10.719,95%CI为5.689-20.196,P<0.001)。

结论

预防ICU患者发生谵妄的最佳疼痛控制目标是CPOT评分为3分及以下。

相似文献

1
[Optimal pain control goal for preventing delirium in critical patients].[预防重症患者谵妄的最佳疼痛控制目标]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Jan;33(1):84-88. doi: 10.3760/cma.j.cn121430-20200828-00600.
2
[Risk factors for death in elderly patients admitted to intensive care unit after elective abdominal surgery: a consecutive 5-year retrospective study].择期腹部手术后入住重症监护病房老年患者的死亡危险因素:一项连续5年的回顾性研究
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Dec;33(12):1453-1458. doi: 10.3760/cma.j.cn121430-20210804-00118.
3
[Predictive value of glycemic variability within 6 hours on the short-term prognosis of patients with septic shock].[脓毒性休克患者6小时内血糖变异性对短期预后的预测价值]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Jan;33(1):28-32. doi: 10.3760/cma.j.cn121430-20200410-00274.
4
[Clinical predictive value of short-term dynamic changes in platelet counts for prognosis of sepsis patients in intensive care unit: a retrospective cohort study in adults].[血小板计数短期动态变化对重症监护病房脓毒症患者预后的临床预测价值:一项针对成人的回顾性队列研究]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Mar;32(3):301-306. doi: 10.3760/cma.j.cn121430-20190909-00069.
5
[Dynamic measurement of volume of atelectasis area in the evaluation of the prognosis of patients with moderate-to-severe acute respiratory distress syndrome].[动态测量肺不张面积在中重度急性呼吸窘迫综合征患者预后评估中的应用]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Sep;32(9):1056-1060. doi: 10.3760/cma.j.cn121430-20191219-00056.
6
[A new warning scoring system establishment for prediction of sepsis in patients with trauma in intensive care unit].[一种用于预测重症监护病房创伤患者脓毒症的新预警评分系统的建立]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2019 Apr;31(4):422-427. doi: 10.3760/cma.j.issn.2095-4352.2019.04.010.
7
[Correlation between APACHE II scores and delirium probability of senile severe pneumonia patients undergoing invasive mechanical ventilation].[老年重症肺炎有创机械通气患者急性生理与慢性健康状况评分系统Ⅱ(APACHE II)评分与谵妄发生概率的相关性]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2017 Sep;29(9):821-824. doi: 10.3760/cma.j.issn.2095-4352.2017.09.011.
8
The impact of delirium on the prediction of in-hospital mortality in intensive care patients.谵妄对重症监护患者住院死亡率预测的影响。
Crit Care. 2010;14(4):R146. doi: 10.1186/cc9214. Epub 2010 Aug 3.
9
[Analysis of prognosis risk factors of critically ill patients after cardiac surgery: a consecutive 5-year retrospective study].心脏手术后危重症患者预后危险因素分析:一项连续5年的回顾性研究
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2019 Jul;31(7):873-877. doi: 10.3760/cma.j.issn.2095-4352.2019.07.015.
10
[Efficacy and safety of nalbuphine on analgesia of patients in intensive care unit].纳布啡对重症监护病房患者镇痛的疗效及安全性
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 May;30(5):471-476. doi: 10.3760/cma.j.issn.2095-4352.2018.05.015.