调查AzBio和CNC语音识别分数的最小临床重要差异
Ankita Patro1, Aaron C Moberly1, Michael H Freeman1
1Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center.
概括
这项研究确定了耳植入物语音识别的临床重要差异 (MCID) 值,以帮助患者咨询和研究解释辅音-核心-辅音 (CNC) 和AzBio分数.
科学领域:
- 听力学 听力学是指听力学.
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 语音语言病理学 语言病理学
背景情况:
- 耳植入显著改善了严重到严重听力损失的个体的语音识别.
- 建立最小临床重要差异 (MCID) 值对于解释患者结果和指导临床决策至关重要.
- 之前的研究没有报告在耳植入物使用者中关键语音识别措施的MCID值.
研究的目的:
- 确定辅音-核心-辅音 (CNC) 词识别分数的临床重要差异最小值 (MCID).
- 为了确定AzBio在安静和噪音环境中识别句子的MCID值.
- 为评估耳植入体接受者的有意义改善提供基准.
主要方法:
- 对863名成年耳植入患者 (2009-2022) 的回顾性队列研究.
- 使用基于分布的方法,包括半标准偏差,标准测量误差,科恩的d和最小可检测变化.
- 在安静和噪音中对CNC单词分数和AzBio句子进行了MCID评估.
主要成果:
- 估计的MCID平均值为CNC单词的7.4%,安静中AzBio的9.0%,噪音中AzBio的4.9%.
- 基于的方法显示,语音分数的改善与患者报告的听力能力之间存在微弱的关联 (ROC AUC ≤0.69).
- 手术前的分数表明在耳植入之前有显著的听力损伤.
结论:
- 导出的MCID值为耳植入物结果提供了客观的基准.
- 这些MCID估计提高了患者咨询关于耳植入预期的好处.
- 促进在研究和实践中对语音识别数据进行一致的临床解释.
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