Suppr超能文献

采用医院焦虑抑郁量表评估焦虑作为术后恶心呕吐的预测因子:一项初步研究。

Anxiety evaluated by the Hospital Anxiety and Depression Scale as a predictor of postoperative nausea and vomiting: a pilot study.

机构信息

Department of Anesthesiology, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Department of Anesthesiology, Ogaki Municipal Hospital, Ogaki, Japan.

出版信息

Nagoya J Med Sci. 2024 Feb;86(1):72-81. doi: 10.18999/nagjms.86.1.72.

Abstract

The incidence of postoperative nausea and vomiting (PONV) remains high, and improving the accuracy of PONV prediction remains challenging. The primary aim of this study is to examine the impact of anxiety scores evaluated using the Hospital Anxiety and Depression Scale (HADS) on the PONV prediction model. We hypothesized that anxiety and depression, quantified using the HADS, could improve the accuracy of the PONV predictive model. This pilot study evaluated 100 patients. The HADS was conducted by a self-evaluation method before thoracoscopic surgery for lung tumors, and the anesthesia method was standardized. The criterion was whether the nurse in charge of the patient who complained of PONV assessed that drug administration was necessary. As the main analysis, the odds ratio of the HADS score for predicting PONV was evaluated using multivariable logistic regression models. Further, the receiver operating characteristic (ROC) curves of the model with the HADS score added to the variables of without-anxiety predictors and the model with the variables of without-anxiety predictors only were compared. The anxiety score was significantly higher in the PONV group than in the no PONV group (P = 0.021). For predictive accuracy, the model that included age, sex, smoking history, history of PONV, and anxiety score had a higher area under the ROC curve than did the model excluding the anxiety score (P = 0.021). In conclusion, the findings indicate that the HADS is worth investigating as a predictor of PONV.

摘要

术后恶心和呕吐 (PONV) 的发生率仍然很高,提高 PONV 预测的准确性仍然具有挑战性。本研究的主要目的是研究使用医院焦虑和抑郁量表 (HADS) 评估的焦虑评分对 PONV 预测模型的影响。我们假设使用 HADS 量化的焦虑和抑郁可以提高 PONV 预测模型的准确性。这项初步研究评估了 100 名患者。HADS 通过在进行胸腔镜肺肿瘤手术前进行自我评估方法进行评估,并且麻醉方法标准化。标准是负责抱怨 PONV 的患者的护士是否评估需要给药。作为主要分析,使用多变量逻辑回归模型评估 HADS 评分预测 PONV 的比值比。此外,比较了将 HADS 评分添加到无焦虑预测因子的变量和仅具有无焦虑预测因子的变量的模型的 ROC 曲线。PONV 组的焦虑评分明显高于无 PONV 组(P = 0.021)。对于预测准确性,包括年龄、性别、吸烟史、PONV 史和焦虑评分的模型比不包括焦虑评分的模型的 ROC 曲线下面积更高(P = 0.021)。总之,研究结果表明,HADS 值得作为 PONV 的预测因子进行研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ddb/10945218/e8600eb15525/2186-3326-86-0072-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验