用SDACS筛查工具评价心脏手术患者术后谵妄:一项多中心多期研究。

IF 2 3区 医学 Q2 ANESTHESIOLOGY
Hosein Mahmoudi, Athanasios Chalkias, Ali Moradi, Seyed Tayeb Moradian, Seyed Mohammad Reza Amouzegar, Amir Vahedian-Azimi
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引用次数: 0

摘要

目的:术后谵妄是心脏手术患者的常见并发症,强调早期识别危险因素对最佳治疗的重要性。本研究旨在查明危险因素,并设计一种新的筛查工具,心脏手术后谵妄筛查工具(SDACS),以预测心脏手术患者术后第一天后的谵妄。材料与方法:本研究采用多相设计,分为三个阶段。在第一阶段,通过对38篇最终选定的已发表论文的范围审查,确定了136个心脏手术后谵妄的潜在危险因素。然后将这些危险因素纳入三轮德尔菲专家小组,以开发术后谵妄的筛查工具。最后,在2020年至2023年(研究的第三阶段)期间,对三家学术机构的920名心脏手术患者的76个潜在危险因素进行了检查。将所有预测因子纳入筛选工具(SDACS),并将每个预测因子的回归系数转化为风险评分。结果:920例患者中有53% (n = 488)诊断为谵妄。确定了谵妄的四个独立预测因素:慢性阿片类药物使用(OR: 4.605, 95% CI: 2.263 -9.804)、听力障碍(OR: 6.926, 95% CI: 3.630-12.215)、苯二氮平类药物使用史(OR: 8.506, 95% CI: 5.651-11.805)和心脏手术后第一晚睡眠质量差(OR: 9.081, 95% CI: 6.225-12.248)。筛选仪的受试者工作特征曲线下交叉验证面积(AUC)为0.897 (95% CI: 0.876-0.916;结论:慢性阿片类药物使用、听力障碍、苯二氮卓类药物史和术后睡眠质量差与心脏手术患者术后谵妄有关。SDACS筛查工具可以有效地早期预测这种综合征,为床边护士提供及时干预和改善患者预后的宝贵工具。SDACS筛查工具有助于早期谵妄风险评估,实现及时干预和更好的患者预后。通过准确预测术后谵妄,护士可以主动处理危险因素,潜在地降低其发生率和严重程度,从而改善患者的术后预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of postoperative delirium in cardiac surgery patients with the SDACS screening tool: a multicenter-multiphase study.

Objective: Postoperative delirium is a prevalent complication in cardiac surgery patients, highlighting the importance of early risk factor identification for optimal management. This study aimed to pinpoint risk factors and devise a novel screening tool, the Screening Tool for Delirium After Cardiac Surgery (SDACS), to predict postoperative delirium in cardiac surgery patients after the first day.

Materials and methods: This study employed a multiphase design consisting of three phases. In the first phase, through a scoping review of 38 finally selected published papers, 136 potential risk factors for identifying delirium after cardiac surgery were identified. These risk factors were then incorporated into three Delphi rounds of expert panels to develop a screening tool for postoperative delirium. Finally, 76 potential risk factors were examined on 920 cardiac surgery patients at three academic institutions between 2020 and 2023 (third phase of the study). All predictors were included into a screening instrument (SDACS), and the regression coefficient of each predictor was transformed into a risk score.

Results: Delirium was diagnosed in 53% (n = 488) of 920 patients. Four independent predictors of delirium were identified: chronic opioid use (OR: 4.605, 95% CI: 2.163-9.804), hearing impairment (OR: 6.926, 95% CI: 3.630-12.215), benzodiazepine history (OR: 8.506, 95% CI: 5.651-11.805), and poor sleep quality on the first night after cardiac surgery (OR: 9.081, 95% CI: 6.225-12.248). The cross-validated area under receiver operating characteristics curve (AUC) for the screening instrument was 0.897 (95% CI: 0.876-0.916; P < 0.001).

Conclusion: Chronic opioid use, hearing impairment, benzodiazepine history, and poor sleep quality post-surgery are linked to postoperative delirium in cardiac surgery patients. The SDACS screening tool effectively forecasts this syndrome early, offering bedside nurses a valuable tool for prompt intervention and improved patient outcomes. The SDACS screening tool aids in early delirium risk assessment, enabling timely interventions and better patient outcomes. By predicting postoperative delirium accurately, nurses can address risk factors proactively, potentially reducing its incidence and severity, leading to improved postoperative outcomes for patients.

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