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Objectives estimate the prevalence of ototoxic hearing loss in drug-resistant tuberculosis (DR-TB) patients treated with aminoglycoside antibiotics via a systematic review and meta-analysis. Estimate the annual preventable cases of hearing loss in DR-TB patients and leverage findings to discuss primary, secondary and tertiary prevention.Methods studies published between 2005 and 2018 that reported prevalence of post-treatment hearing loss in DR-TB patients were included. We performed a random effects meta-analysis to determine pooled prevalence of ototoxic hearing loss overall and by medication type. Preventable hearing loss cases were estimated using World Health Organization (WHO) data on DR-TB treatment and prevalence determined by the meta-analysis.Results eighteen studies from 10 countries were included. Pooled prevalence of ototoxic hearing loss and the corresponding 95% confidence interval (CI) was 40.62% .61%] for all drugs (kanamycin: 49.65% CI [32.77-66.61%], amikacin: 38.93% .07%], capreomycin: 10.21% CI [4.33-22.21%]). Non-use of aminoglycosides may result in prevention of approximately 50,0 0 0 hearing loss cases annually.Conclusions aminoglycoside use results in high prevalence of ototoxic hearing loss. Widespread prevention of hearing loss can be achieved by following updated WHO guidelines for DR-TB treatment. When hearing loss cannot be avoided, secondary and tertiary prevention should be prioritized.

Objectives: This article presents a summary of audiological, general health, and hearing aid (HA) outcome data in a large sample of U.S. Veterans receiving HAs. The current article also provides the foundation for a series of papers that will explore relationships between a wide range of factors and HA outcomes. Design:The patient sample is all (n = 731,213) patients for whom HAs were ordered between April 2012 and October 2014 through the U.S. Veterans Health Administration Remote Order Entry System. For these patients, Veterans Affairs electronic health records (EHRs) stored in various databases provided data on demographics, received diagnostic and procedure codes (2007 to 2017), audiometry, self-reported outcomes up to 6 months postfitting, and HA battery orders (to 2017). Data cleaning and preparation was carried out and is discussed with reference to insights that provide potential value to other researchers pursuing similar studies. HA battery order data over time was used to derive a measure of long-term HA use persistence. Descriptive statistics were used to characterize the sample, comparative analyses against other data supported basic validity assessment, and bivariate analyses probed novel associations between patient characteristics and HA use persistence at 2 years postfitting.Results: Following extensive cleaning and data preparation, the data show plausible characteristics on diverse metrics and exhibit adequate validity based on comparisons with other published data. Further, rates of HA use persistence are favorable when compared against therapy persistence data for other major chronic conditions. The data also show that the presence of certain comorbid conditions (Parkinson's disease, diabetes, arthritis, and visual impairment) are associated with significantly lower HA use persistence, as are prior inpatient admissions (especially among new HA recipients), and that increasing levels of multimorbidity, in general, are associated with decreasing HA use persistence. This is all despite the fact that deriving relevant audiological care-process variables from the available records was not straightforward, especially concerning the definition of the date of HA fitting, and the use of battery ordering data to determine long-term HA use persistence. Conclusions:We have shown that utilizing EHRs in audiology has the potential to provide novel insights into clinical practice patterns, audiologic outcomes, and relations between factors pertaining to hearing and to other health conditions in clinical populations, despite the potential pitfalls regarding the lack of control over the variables available and limitations on how the data are entered. We thus conclude that research using EHRs has the potential to be an integral supplement to populationbased and epidemiologic research in the field of audiology.

Background Neurodegenerative diseases are public health challenges in aging populations. Early identification of people at risk for neurodegeneration might improve targeted treatment. Noninvasive, inexpensive screening tools are lacking but are of great potential. Optical coherence tomography (OCT) measures the thickness of nerve cell layers in the retina, which is an anatomical extension of the brain and might be indicative of common underlying neurodegeneration. We aimed to determine the association of macular ganglion cell-inner plexiform layer (mGCIPL) thickness with cognitive and sensorineural function in midlife. Method This cross-sectional study included 1,880 Beaver Dam Offspring Study participants (aged 27–93 years, mean 58) who participated in the 10-year follow-up examination. We assessed cognitive function and impairment, hearing sensitivity thresholds and impairment, central auditory processing, visual impairment, and olfactory impairment. We measured mGCIPL using the Cirrus 5000 HD-OCT Macular Cube Scan. Multivariable linear and logistic regression models adjusted for potential confounders were used to determine associations between mGCIPL thickness and cognitive and sensorineural functions, as well as for comparing participants with a thin mGCIPL (1 SD below average) to the remainder in those functions. Results Thinner mGCIPL was associated with worse cognitive function, worse central auditory function, and visual impairment. We found an association of mGCIPL thickness with hearing sensitivity in women only and no association with impairment in hearing, olfaction, and cognition. Results on the thin group comparisons were consistent. Conclusions mGCIPL thickness is associated with cognitive and sensorineural function and has the potential as a marker for neurodegeneration in middle-aged adults.

Purpose The clinical data stored in electronic health records (EHRs) provide unique opportunities for audiological clinical research. In this article, we share insights from our experience of working with a large clinical database of over 730,000 cases. Method Under a framework outlining the process from patient care to researcher data use, we describe issues that can arise in each step of this process and how we overcame specific issues in our data set. Results Correct interpretation of findings depends on an understanding of the data source and structure, and efforts to establish confidence in the data through the processes are discussed under the framework. Conclusion We conclude that EHRs have considerable utility in audiological research, though researchers must exhibit caution and consideration when working with EHRs.