So Raymond J, Padova Dominic, Bowditch Stephen, Agrawal Yuri
Department of Otolaryngology-Head and Neck Surgery Johns Hopkins University School of Medicine Baltimore Maryland USA.
Laryngoscope Investig Otolaryngol. 2022 May 10;7(3):835-839. doi: 10.1002/lio2.804. eCollection 2022 Jun.
Cochlear implants (CI) are reliable implantable devices that are highly cost-effective in reducing the burden of hearing loss at an individual and societal scale. However, only 10% of CI candidates are aware of their candidacy and receive a CI. A web-based screening tool to assess CI candidacy may make many more individuals aware of their candidacy for cochlear implantation. The objective of this study was to validate and optimize the online Cochlear Implant Candidacy Calculator against in-clinic audiometric testing.
Audiogram data and word discrimination scores for 132 patients who underwent initial CI consultation at the Johns Hopkins Cochlear Implant Center in 2020 were inputted into the calculator. Candidacy results from the calculator were compared against formal clinical diagnoses provided by the audiologist at the time of visit. Receiver Operating Characteristic (ROC) and Area Under the Curve (AUC) analyses were performed to identify optimal diagnostic thresholds.
Of the resulting 132 patients, 54 presented with single-sided deafness (SSD), and 114 were clinically determined to be CI candidates. ROC AUC analyses identified optimal thresholds of high-frequency PTA ≥65 dB and word discrimination score ≤ 50%. To maximize sensitivity at the expense of specificity, diagnostic thresholds of high-frequency PTA ≥ 65 dB and word discrimination score ≤ 70% were chosen, which yielded accuracy, sensitivity, specificity, and ROC AUC of 0.90, 0.94, 0.82, and 0.88, respectively.
The novel online CI Candidacy Calculator exhibits high sensitivity and accuracy, and moderate specificity. The calculator may thereby be useful in increasing awareness of potential CI candidacy, increasing prevalence of CIs, and decreasing the burden of hearing loss.
人工耳蜗(CI)是可靠的可植入设备,在减轻个人和社会层面的听力损失负担方面具有很高的成本效益。然而,只有10%的人工耳蜗候选者知道自己符合条件并接受了人工耳蜗植入。一种基于网络的筛查工具,用于评估人工耳蜗候选资格,可能会让更多人意识到自己有接受人工耳蜗植入的资格。本研究的目的是针对临床听力测试验证并优化在线人工耳蜗候选资格计算器。
将2020年在约翰霍普金斯人工耳蜗中心接受初次人工耳蜗咨询的132名患者的听力图数据和单词辨别分数输入计算器。将计算器得出的候选资格结果与听力学家在就诊时提供的正式临床诊断结果进行比较。进行了受试者操作特征(ROC)和曲线下面积(AUC)分析,以确定最佳诊断阈值。
在这132名患者中,54例为单侧耳聋(SSD),114例经临床判定为人工耳蜗候选者。ROC AUC分析确定高频纯音平均听阈(PTA)≥65dB和单词辨别分数≤50%为最佳阈值。为了以特异性为代价最大化敏感性,选择了高频PTA≥65dB和单词辨别分数≤70%的诊断阈值,其准确率、敏感性、特异性和ROC AUC分别为0.90、0.94、0.82和0.88。
新型在线人工耳蜗候选资格计算器具有高敏感性和准确性,以及中等特异性。该计算器因此可能有助于提高对潜在人工耳蜗候选资格的认识,提高人工耳蜗的普及率,并减轻听力损失负担。