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慢性前庭综合征的测试组合与诊断算法

Test Batteries and the Diagnostic Algorithm for Chronic Vestibular Syndromes.

作者信息

Kitazawa Meiko, Morita Yuka, Yagi Chihiro, Takahashi Kuniyuki, Ohshima Shinsuke, Yamagishi Tatsuya, Izumi Shuji, Koizuka Izumi, Horii Arata

机构信息

Department of Otolaryngology Head and Neck Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.

Department of Otolaryngology, St. Marianna University School of Medicine, Kawasaki, Japan.

出版信息

Front Neurol. 2021 Nov 18;12:768718. doi: 10.3389/fneur.2021.768718. eCollection 2021.

Abstract

To develop a diagnostic algorithm for chronic vestibular syndromes by determining significant items that differ among diagnoses. Two hundred thirty-one patients with chronic vestibular syndromes lasting for >3 months were included. Full vestibular tests and questionnaire surveys were performed: bithermal caloric test, cervical and ocular vestibular-evoked myogenic potential assessment, video head impulse test (vHIT), posturography, rotatory chair test, dizziness handicap inventory, hospital anxiety and depression scale (HADS), and Niigata persistent postural-perceptual dizziness (PPPD) questionnaire (NPQ). Differences in each item of the vestibular tests/questionnaires/demographic data were tested among the diagnoses. A receiver operating characteristic (ROC) curve was created for the significant items. The value that provided the best combination of sensitivity/specificity on the ROC curve was adopted as a threshold for diagnosing the targeted disease. Multiple diagnostic algorithms were proposed, and their diagnostic accuracy was calculated. There were 92 patients with PPPD, 44 with chronic dizziness due to anxiety (CDA), 31 with unilateral vestibular hypofunction (UVH), 37 with undifferentiated dizziness (UD), and 27 with other conditions. The top four diagnoses accounted for 88% of all chronic vestibular syndromes. Five significant items that differed among the four diseases were identified. The visual stimulation and total NPQ scores were significantly higher in the patients with PPPD than in those with UVH and UD. The percentage of canal paresis (CP %) was significantly higher in the patients with UVH than in those with PPPD, CDA, and UD. The patients with CDA were significantly younger and had higher anxiety scores on the HADS (HADS-A) than those with UVH and UD. Moreover, catch-up saccades (CUSs) in the vHIT were more frequently seen in the patients with UVH than in those with PPPD. The most useful algorithm that tested the total and visual stimulation NPQ scores for PPPD followed by the CP%/CUSs for UVH and HADS-A score/age for CDA showed an overall diagnostic accuracy of 72.8%. Among the full vestibular tests and questionnaires, the items useful for differentiating chronic vestibular syndromes were identified. We proposed a diagnostic algorithm for chronic vestibular syndromes composed of these items, which could be useful in clinical settings.

摘要

通过确定不同诊断之间存在差异的重要项目,来开发一种慢性前庭综合征的诊断算法。纳入了231例慢性前庭综合征持续时间超过3个月的患者。进行了全面的前庭测试和问卷调查:冷热试验、颈性和眼性前庭诱发肌源性电位评估、视频头脉冲试验(vHIT)、姿势图、转椅试验、头晕残障量表、医院焦虑抑郁量表(HADS)以及新潟持续性姿势-知觉性头晕(PPPD)问卷(NPQ)。在前庭测试/问卷/人口统计学数据的各个项目中,对不同诊断之间的差异进行了检验。为重要项目绘制了受试者工作特征(ROC)曲线。将在ROC曲线上提供最佳敏感性/特异性组合的值用作诊断目标疾病的阈值。提出了多种诊断算法,并计算了它们的诊断准确性。其中有92例PPPD患者、44例焦虑性慢性头晕(CDA)患者、31例单侧前庭功能减退(UVH)患者、37例未分化头晕(UD)患者以及27例其他情况患者。前四种诊断占所有慢性前庭综合征的88%。确定了四种疾病之间存在差异的五个重要项目。PPPD患者的视觉刺激和NPQ总分显著高于UVH和UD患者。UVH患者的管轻瘫百分比(CP%)显著高于PPPD、CDA和UD患者。CDA患者比UVH和UD患者明显更年轻,且在HADS(HADS-A)上的焦虑得分更高。此外,UVH患者比PPPD患者在vHIT中更频繁出现追赶性扫视(CUSs)。最有用的算法是先检测PPPD的NPQ总分和视觉刺激得分,然后检测UVH的CP%/CUSs以及CDA的HADS-A得分/年龄,其总体诊断准确性为72.8%。在前庭全面测试和问卷调查中,确定了有助于区分慢性前庭综合征的项目。我们提出了一种由这些项目组成的慢性前庭综合征诊断算法,这在临床环境中可能会很有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7315/8639203/a85becdd39b1/fneur-12-768718-g0001.jpg

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