躯体症状量表-8在躯体症状及相关疾病门诊患者中枢性致敏综合征中的效用及最佳分界点

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-11-22 DOI:10.1186/s13030-022-00253-2
Kazuaki Hashimoto, Takeaki Takeuchi, Miki Hiiragi, Akiko Koyama, Yuzo Nakamura, Masahiro Hashizume
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引用次数: 1

摘要

背景:中枢致敏综合征(CSS)是由中枢致敏引起的严重功能症状。对于有严重躯体症状和相关疾病(ssrd)的患者,中枢致敏可能是其功能性症状的原因。我们假设筛查ssrd患者的CSS可以识别出病情严重的患者。躯体症状量表-8 (ssss -8)是评估与ssrd相关的医疗状况的简单工具,但识别严重共病CSS病例的分界点尚不清楚。本研究旨在确定SSS-8筛选重度ssrd患者CSS的最佳分界点。方法:选取日本某大学附属医院门诊就诊的143例ssrd患者作为研究对象。采用躯体症状评定量表(SSS-8),焦虑和抑郁症状评定量表(HADS),灾难性思想评定量表(PCS)和中枢致敏量表(CSI-A, B)进行评定。采用倾向评分进行受试者工作特征(ROC)曲线分析。曲线下面积(AUC)使用倾向评分计算,考虑PCS、年龄、性别、HADS和CSI-B作为SSS-8和CSS的混杂因素,以评估有和没有SSS-8的患者之间诊断准确性的差异。然后使用ROC分析的敏感性和特异性来确定区分SSS-8重症病例的分界点。结果:143名参与者中,126人回应(51名CSS组和75名非CSS组),有效回复率为88.1%。在ROC分析中,包含SSS-8的倾向评分在统计学上更准确。最佳截断点为13,AUC为0.88,敏感性为84.3%,特异性为77.3%。结论:ssss -8是鉴别重度ssrd合并CSS的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Utility and optimal cut-off point of the Somatic Symptom Scale-8 for central sensitization syndrome among outpatients with somatic symptoms and related disorders.

Background: Central sensitization syndrome (CSS) involves severe functional symptoms due to central sensitization. for patients with severe somatic symptoms and related disorders (SSRDs), central sensitization may be responsible for their functional symptoms. We hypothesized that screening for CSS in patients with SSRDs would identify those with severe disease. The Somatic Symptom Scale-8 (SSS-8) is a simple tool to assess medical conditions related to SSRDs, but the cut-off point to identify severe cases of comorbid CSS is unknown. This study aimed to determine the optimal cut-off point of SSS-8 for screening the CSS of patients with severe SSRDs.

Methods: In total, 143 patients with SSRDs attending outpatient clinics of a university hospital in Japan were included in the study. The participants were evaluated using the SSS-8 for somatic symptoms, Hospital Anxiety and Depression Scale (HADS) for anxiety and depressive symptoms, Pain Catastrophizing Scale (PCS) for catastrophic thoughts, and Central Sensitization Inventory (CSI-A, B) for CSS. Receiver operating characteristic (ROC) curve analysis was performed using the propensity score. The area under the curve (AUC) was calculated using a propensity score considering PCS, age, sex, HADS, and CSI-B as confounders of SSS-8 and CSS to evaluate differences in diagnostic accuracy between patients with and without SSS-8. The sensitivity and specificity of the ROC analysis were then used to determine the cut-off point for discriminating severe cases of SSS-8.

Results: Of the 143 participants, 126 responded (51 CSS group and 75 non-CSS group), with a valid response rate of 88.1 percent. In the ROC analysis, the propensity score including SSS-8 was statistically more accurate. The optimal cut-off point was 13, with an AUC of 0.88, sensitivity of 84.3 percent, and specificity of 77.3 percent.

Conclusions: The SSS-8 is a useful tool for discriminating severe cases of SSRDs comorbid with CSS.

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ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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