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Factors influencing rehabilitation outcomes in prelingually deafened late implanted cochlear implant users and development of a nomogram
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  • Riyuan Liu,
  • Qian WANG,
  • Qingshan Jiao,
  • Fei Ji,
  • hui zhao,
  • Jianan Li,
  • SM Yang
Riyuan Liu
Chinese PLA General Hospital

Corresponding Author:[email protected]

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Military General Hospital of Beijing PLA
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Qingshan Jiao
General Hospital of People's Liberation Army
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Fei Ji
Chinese PLA General Hospital
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hui zhao
Chinese PLA General Hospital
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Jianan Li
General Hospital of People's Liberation Army
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SM Yang
Department of Otolaryngology Head and Neck Surgery, Institute of Otolaryngology, Chinese PLA General Hospital,
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Objectives: Our study aimed to identify potential factors that influence rehabilitation outcomes in late-implanted adolescents and adults with prelingual deafness and attempted to develop a reliable nomogram. Design: This retrospective study included 120 subjects less than 30 years of age who had received cochlear implantation at a single medical center. The Categories of Auditory Performance (CAP) scale was used to evaluate the rehabilitation outcomes. A nomogram was constructed using the R and EmpowerStats software. Results: Univariate analysis indicated higher rates of auditory performance improvement in younger aged subjects. Residual hearing and regular and longer implant use were more common among subjects showing auditory performance improvement. Multivariate analysis identified residual hearing (Hazard Ratio, 6.11; 95% Confidence Interval, 1.83-20.41; P<0.01), age at implantation (Hazard Ratio, 0.31; 95% Confidence Interval, 0.14-0.83; P=0.02) and regular CI use (Hazard Ratio, 7.79; 95% Confidence Interval, 2.50-24.20; P<0.01) as independent predictors for auditory performance improvement. The nomogram’s predictive performance was satisfactory as verified by the calibration curve and Receiver operating characteristic (ROC) curve. Conclusions: We demonstrated that residual hearing, younger age, and regular CI use were associated with auditory performance improvement in this cochlear implant user population. Our nomogram model demonstrated satisfactory predictive performance for this population.
28 Mar 2021Submitted to Clinical Otolaryngology
31 Mar 2021Submission Checks Completed
31 Mar 2021Assigned to Editor
04 Apr 2021Reviewer(s) Assigned
01 May 2021Review(s) Completed, Editorial Evaluation Pending
09 May 2021Editorial Decision: Revise Major
23 Jun 20211st Revision Received
24 Jun 2021Submission Checks Completed
24 Jun 2021Assigned to Editor
13 Jul 2021Reviewer(s) Assigned
27 Jul 2021Review(s) Completed, Editorial Evaluation Pending
31 Jul 2021Editorial Decision: Accept