Department of Otolaryngology-Head and Neck Surgery and Cochlear Implant Center, Johns Hopkins University School of Medicine.
Johns Hopkins University School of Medicine.
Otol Neurotol. 2022 Aug 1;43(7):e720-e725. doi: 10.1097/MAO.0000000000003589.
Cochlear implant (CI) candidacy and postoperative outcomes are assessed using sets of speech perception tests that vary from center to center, limiting comparisons across institutions and time periods. The objective of this study was to determine if scores on one speech perception test could be reliably predicted from scores on another test.
Arizona Biomedical (AzBio) Sentence Test, Consonant-Nucleus-Consonant word (CNCw), and Hearing in Noise Test (HINT) scores in quiet for the implanted ear were collected for individuals who received a CI between 1985 and 2019. Scores collected during the same testing session were analyzed using Bland-Altman plots to assess agreement between testing methods. Simple linear regression with logit transformation was used to generate predictive functions and 95% confidence intervals for expected mean and individual scores.
Single academic medical center.
A total of 1,437 individuals with a median age of 59.9 years (range, 18-95 yr) and 46% (654 of 1,437) male.
N.A.
Agreement as a function of test score, mean, variance, and correlation coefficients.
A total of 2,052 AzBio/CNCw, 525 AzBio/HINT, and 7,187 CNCw/HINT same-session score pairings were identified. Pairwise test comparisons demonstrated limited agreement between different tests performed in the same session, and a score correlation between different speech tests revealed large variances.
Transformation functions between test batteries were predictive of mean scores but performed poorly for prediction of individual scores. Point-wise comparisons of scores across CI test batteries should be used with caution in clinical and research settings.
耳蜗植入 (CI) 的候选资格和术后结果使用一套套语音感知测试来评估,这些测试因中心而异,限制了机构间和时间段内的比较。本研究的目的是确定一个语音感知测试的分数是否可以可靠地预测另一个测试的分数。
为了 1985 年至 2019 年间接受 CI 的个体,收集了他们植入耳的亚利桑那生物医学 (AzBio) 句子测试、辅音-核-辅音词 (CNCw) 和噪声下听力测试 (HINT) 的分数。在同一测试会话中收集的分数使用 Bland-Altman 图进行分析,以评估测试方法之间的一致性。使用对数变换的简单线性回归生成预测函数和预期平均值和个体分数的 95%置信区间。
单学术医疗中心。
共 1437 名患者,中位年龄 59.9 岁(范围 18-95 岁),46%(1437 名中的 654 名)为男性。
无。
测试分数、平均值、方差和相关系数的一致性。
共确定了 2052 对 AzBio/CNCw、525 对 AzBio/HINT 和 7187 对 CNCw/HINT 同次测试得分配对。两两测试比较表明,在同一测试中进行的不同测试之间的一致性有限,并且不同语音测试之间的得分相关性显示出较大的差异。
测试电池之间的转换函数可以预测平均值,但对预测个体分数的效果不佳。在临床和研究环境中,应谨慎使用 CI 测试电池之间的分数逐点比较。