Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School.
Eaton-Peabody Laboratories, Massachusetts Eye and Ear.
Otol Neurotol. 2020 Oct;41(9):e1167-e1173. doi: 10.1097/MAO.0000000000002759.
Patients with chronic, subjective tinnitus are often administered a battery of audiometric tests to characterize their tinnitus percept. Even a comprehensive battery, if applied just once, cannot capture fluctuations in tinnitus strength or quality over time. Moreover, subjects experience a learning curve when reporting the detailed characteristics of their tinnitus percept, such that a single assessment will reflect a lack of familiarity with test requirements. We addressed these challenges by programming an automated software platform for at-home tinnitus characterization over a 2-week period.
Prospective case series.
Tertiary referral center, patients' homes.
Following an initial clinic visit, 25 subjects with chronic subjective tinnitus returned home with a tablet computer and calibrated headphones to complete questionnaires, hearing tests, and tinnitus psychoacoustic testing. We repeatedly characterized loudness discomfort levels and tinnitus matching over a 2-week period.
Primary outcomes included intrasubject variability in loudness discomfort levels, tinnitus intensity, and tinnitus acoustic matching over the course of testing.
Within-subject variability for all outcome measures could be reduced by approximately 25 to 50% by excluding initial measurements and by focusing only on tinnitus matching attempts where subjects report high confidence in the accuracy of their ratings.
Tinnitus self-report is inherently variable but can converge on reliable values with extended testing. Repeated, self-directed tinnitus assessments may have implications for identifying malingerers. Further, these findings suggest that extending the baseline phase of tinnitus characterizations will increase the statistical power for future studies focused on tinnitus interventions.
患有慢性主观性耳鸣的患者通常会接受一系列听力测试,以描述其耳鸣感知。即使是全面的听力测试,如果仅应用一次,也无法捕捉到耳鸣强度或质量随时间的波动。此外,当报告其耳鸣感知的详细特征时,受试者会经历一个学习曲线,因此单次评估将反映出对测试要求的不熟悉。我们通过编程一个自动化软件平台来解决这些挑战,该平台用于在两周内进行家庭耳鸣特征描述。
前瞻性病例系列。
三级转诊中心,患者家中。
在初始诊所就诊后,25 名患有慢性主观性耳鸣的患者带着平板电脑和校准耳机回家,完成问卷、听力测试和耳鸣心理声学测试。我们在两周内反复描述响度不适水平和耳鸣匹配。
主要结局包括在测试过程中响度不适水平、耳鸣强度和耳鸣声学匹配的个体内变异性。
通过排除初始测量值并仅关注受试者报告对其评分准确性有高度信心的耳鸣匹配尝试,可以将所有测量结果的个体内变异性降低约 25%至 50%。
耳鸣自我报告本质上是可变的,但通过扩展测试可以收敛到可靠的值。重复的、自我导向的耳鸣评估可能对识别装病者具有意义。此外,这些发现表明,延长耳鸣特征描述的基线阶段将增加未来专注于耳鸣干预研究的统计能力。