Liu Kun, Liu Zheng, Li Lin-Qian, Zhang Meng, Deng Xue-Xue, Zhu Hong
Department of Cardiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China.
Department of Nursing, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, Sichuan Province, China.
World J Clin Cases. 2022 Dec 26;10(36):13274-13283. doi: 10.12998/wjcc.v10.i36.13274.
Critical patients often had various types of tubes, unplanned extubation of any kind of tube may cause serious injury to the patient, but previous reports mainly focused on endotracheal intubation. The limitations or incorrect use of the unplanned extubation risk assessment tool may lead to improper identification of patients at a high risk of unplanned extubation and cause delay or non-implementation of unplanned extubation prevention interventions. To effectively identify and manage the risk of unplanned extubation, a comprehensive and universal unplanned extubation risk assessment tool is needed.
To assess the predictive value of the Huaxi Unplanned Extubation Risk Assessment Scale in inpatients.
This was a retrospective validation study. In this study, medical records were extracted between October 2020 and September 2021 from a tertiary comprehensive hospital in southwest China. For patients with tubes during hospitalization, the following information was extracted from the hospital information system: age, sex, admission mode, education, marital status, number of tubes, discharge mode, unplanned extubation occurrence, and the Huaxi Unplanned Extubation Risk Assessment Scale (HUERAS) score. Only inpatients were included, and those with indwelling needles were excluded. The best cut-off value and the area under the curve (AUC) of the Huaxi Unplanned Extubation Risk Assessment Scale were been identified.
A total of 76033 inpatients with indwelling tubes were included in this study, and 26 unplanned extubations occurred. The patients' HUERAS scores were between 11 and 30, with an average score of 17.25 ± 3.73. The scores of patients with or without unplanned extubation were 22.85 ± 3.28 and 17.25 ± 3.73, respectively ( < 0.001). The results of the correlation analysis showed that the correlation coefficients between each characteristic and the total score ranged from 0.183 to 0.843. The best cut-off value was 21, and there were 14135 patients with a high risk of unplanned extubation, accounting for 18.59%. The Cronbach's , sensitivity, specificity, positive predictive value, and negative predictive value of the Huaxi Unplanned Extubation Risk Assessment Scale were 0.815, 84.62%, 81.43%, 0.16%, and 99.99%, respectively. The AUC of HUERAS was 0.851 (95%CI: 0.783-0.919, < 0.001).
The HUERAS has good reliability and predictive validity. It can effectively identify inpatients at a high risk of unplanned extubation and help clinical nurses carry out risk screening and management.
重症患者常留置各类管道,任何一种管道的非计划性拔管都可能对患者造成严重伤害,但既往报道主要集中于气管插管。非计划性拔管风险评估工具的局限性或使用不当可能导致对非计划性拔管高风险患者识别错误,进而导致非计划性拔管预防干预措施延迟实施或未实施。为有效识别和管理非计划性拔管风险,需要一种全面通用的非计划性拔管风险评估工具。
评估华西非计划性拔管风险评估量表对住院患者的预测价值。
这是一项回顾性验证研究。本研究从中国西南部一家三级综合医院提取了2020年10月至2021年9月期间的病历。对于住院期间留置管道的患者,从医院信息系统中提取以下信息:年龄、性别、入院方式、文化程度、婚姻状况、管道数量、出院方式、非计划性拔管发生情况以及华西非计划性拔管风险评估量表(HUERAS)评分。仅纳入住院患者,排除留置针患者。确定了华西非计划性拔管风险评估量表的最佳截断值和曲线下面积(AUC)。
本研究共纳入76033例留置管道的住院患者,发生26例非计划性拔管。患者的HUERAS评分在(11)至(30)之间,平均评分为(17.25\pm3.73)。发生和未发生非计划性拔管患者的评分分别为(22.85\pm3.28)和(17.25\pm3.73)((P<0.001))。相关性分析结果显示,各特征与总分的相关系数在(0.183)至(0.843)之间。最佳截断值为(21),有14135例患者存在非计划性拔管高风险,占(18.59%)。华西非计划性拔管风险评估量表的Cronbach's(\alpha)系数、灵敏度、特异度、阳性预测值和阴性预测值分别为(0.815)、(84.62%)、(81.43%)、(0.16%)和(99.99%)。HUERAS的AUC为(0.851)((95%)CI:(0.78)3 - (0.919),(P<0.001))。
HUERAS具有良好的可靠性和预测效度。它能有效识别非计划性拔管高风险的住院患者,有助于临床护士进行风险筛查和管理。