Tu Yingying, Du Wenwen, Pan Yuanyuan, Zhang Xiaozhen, Mo Yunchang, Sun Caixia, Wang Junlu
Nursing Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People's Republic of China.
Neuropsychiatr Dis Treat. 2024 Sep 4;20:1655-1665. doi: 10.2147/NDT.S471598. eCollection 2024.
Postoperative high-activity delirium (PDHA) manifests as a high alertness, restlessness, hallucinations, and delusions. Occurrence of PDHA represents an increased risk of poor prognosis for patients.
To establish and validate a nomogram prediction model for high-activity delirium after non-cardiac surgery in a post-anesthesia care unit (PACU).
This study retrospectively enrolled adult patients who underwent non-cardiac surgery and were observed in the PACU as training data. Patients were divided into PDHA (199 patients) and non-PDHA (396 patients) groups. Patients' general data, preoperative indicators, intraoperative conditions, and postoperative PACU conditions were collected. The risk factors for PDHA were identified using univariate and multivariate logistic regression analyses. A predictive column chart was created using R language. Adult patients who underwent non-cardiac surgery and entered the PACU for observation were randomly selected as the validation set data (198 cases) for model performance validation.
The incidence rate of adult PDHA in the PACU was 0.275%. Sex, age, smoking history, low preoperative albumin level, Society of Anesthesiologists (ASA) classification, anesthesia duration, and postoperative PACU pain score were independent risk factors for hyperactive delirium in PACU adults. In this study, an adult PACU PDHA nomogram prediction model was developed. The training dataset verified that the ROC curve (area under the curve) and 95% confidence interval (95% CI) were 0.936 (0.917-0.955). The ROC curve of the validation data row showed that the area under the curve and 95% CI were 0.926 (0.885-0.967).
The nomogram predictive model for PACU adult high-activity delirium constructed in this study showed good predictive performance. This model could enable the visualization and graphical prediction of adult high-activity delirium occurrence after PACU, which has clinical value.
术后高活动性谵妄(PDHA)表现为警觉性高、烦躁不安、幻觉和妄想。PDHA的发生意味着患者预后不良的风险增加。
建立并验证麻醉后护理单元(PACU)非心脏手术后高活动性谵妄的列线图预测模型。
本研究回顾性纳入在PACU接受观察的非心脏手术成年患者作为训练数据。患者分为PDHA组(199例)和非PDHA组(396例)。收集患者的一般资料、术前指标、术中情况及术后PACU情况。采用单因素和多因素逻辑回归分析确定PDHA的危险因素。使用R语言创建预测柱状图。随机选取在PACU接受观察的非心脏手术成年患者作为验证集数据(198例),对模型性能进行验证。
PACU成年患者PDHA发生率为0.275%。性别、年龄、吸烟史、术前白蛋白水平低、美国麻醉医师协会(ASA)分级、麻醉持续时间及术后PACU疼痛评分是PACU成年患者高活动性谵妄的独立危险因素。本研究建立了成年PACU PDHA列线图预测模型。训练数据集验证,ROC曲线(曲线下面积)及95%置信区间(95%CI)为0.936(0.917 - 0.955)。验证数据集的ROC曲线显示,曲线下面积及95%CI为0.926(0.885 - 0.967)。
本研究构建的PACU成年患者高活动性谵妄列线图预测模型具有良好的预测性能。该模型可实现PACU后成年患者高活动性谵妄发生情况的可视化及图形化预测,具有临床价值。