Suppr超能文献

验证简单视觉模拟温度计屏幕对心血管疾病情绪并发症的有效性:情绪温度计。

Validation of simple visual-analogue thermometer screen for mood complications of cardiovascular disease: the Emotion Thermometers.

机构信息

Psycho-oncology, Leicestershire Partnership Trust, LE5 OTD UK.

出版信息

J Affect Disord. 2012 Feb;136(3):1257-63. doi: 10.1016/j.jad.2011.06.008. Epub 2011 Jul 1.

Abstract

OBJECTIVE

Conventional scales may help with the identification of depression but are generally too lengthy for clinical practice and perform poorly against anxiety and distress. We therefore examined the value of a single item NCCN Distress Thermometer and an enhanced visual-analogue method (Emotion Thermometers, ET) that incorporates four emotion thermometers.

METHODS

We examined 228 patients with mixed cardiovascular conditions of whom 200 completed questionnaires. 64.5% suffered from cardiomyopathy/congestive heart failure, 9.5% had coronary artery disease, 4.5% had multiple cardiac diagnoses, 3% suffered from hypertension, 2% had rhythm problem, 2% had valve problems and 1.5% were diagnosed with atrial fibrillation. We used DSM-IV criteria to define current depression, the GAD7 to define current anxiety and the HADS-T to define distress. 13% had DSM-IV MDD and 19.1% had major or minor depression using DSM-IV (any depression). There were also 59 people (29.6%) with clinically significant distress and 46 with clinically significant anxiety (23.1%).

RESULTS

The optimal accuracy for major depression was either the Depression thermometer (DepT) or the Help thermometer (HelpT), as both performed well. They had a sensitivity and specificity of 73.1%, 89.7% and 84.6%, 85.6%, respectively. The DepT was also best for detecting any DSM-IV depression (sensitivity 68.4% and specificity 93.2%) and HAD-T based distress (sensitivity 79.7% and specificity 82.9%). The Anxiety thermometer (AnxT) performed best against the GAD7 (sensitivity 84.8% and specificity 83.7%).

CONCLUSION

Innovative visual-analogue screening tools for mood appear to perform well in cardiovascular settings.

摘要

目的

常规量表有助于识别抑郁症,但通常对于临床实践来说过于冗长,并且在焦虑和痛苦方面表现不佳。因此,我们研究了单一项目 NCCN 痛苦温度计和增强视觉模拟法(Emotion Thermometers,ET)的价值,后者包含四个情绪温度计。

方法

我们检查了 228 名患有混合心血管疾病的患者,其中 200 名完成了问卷调查。64.5%的患者患有心肌病/充血性心力衰竭,9.5%的患者患有冠状动脉疾病,4.5%的患者有多种心脏诊断,3%的患者患有高血压,2%的患者有节律问题,2%的患者有瓣膜问题,1.5%的患者被诊断为心房颤动。我们使用 DSM-IV 标准定义当前的抑郁症,使用 GAD7 定义当前的焦虑症,使用 HADS-T 定义痛苦。13%的患者符合 DSM-IV MDD 标准,19.1%的患者符合 DSM-IV(任何抑郁症)的重度或轻度抑郁症标准。还有 59 人(29.6%)有明显的痛苦,46 人(23.1%)有明显的焦虑。

结果

重度抑郁症的最佳准确性是抑郁温度计(DepT)或帮助温度计(HelpT),两者的性能都很好。它们的敏感性和特异性分别为 73.1%、89.7%和 84.6%、85.6%。DepT 也最适合检测任何 DSM-IV 抑郁症(敏感性 68.4%,特异性 93.2%)和基于 HAD-T 的痛苦(敏感性 79.7%,特异性 82.9%)。焦虑温度计(AnxT)在 GAD7 方面的表现最佳(敏感性 84.8%,特异性 83.7%)。

结论

用于情绪的创新视觉模拟筛查工具在心血管环境中似乎表现良好。

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