Relationship between hearing loss and Glasgow prognostic score in patients with cancer

OBJECTIVE

Oxidative stress damages cochlear hair cells in vitro. However, the effect of systemic inflammation on hearing loss remains unclear. Growing evidence suggests that malnutrition influences the development of hearing loss. In this study, we aimed to investigate the influence of the Glasgow prognostic score (GPS), which is calculated based on systemic inflammatory responses and malnutrition, on auditory threshold increases in patients with cancer.

METHODS

This single-center retrospective cohort study included patients with cancer who underwent standard pure-tone audiometry (PTA) between November 2014 and May 2023. Patients with complete data in their electronic medical records within 90 days before undergoing standard PTA were included. Multivariate analysis was performed using auditory threshold as the response variable. Covariates, including GPS, were obtained from blood data and physical data before standard PTA. The GPS was classified into three levels based on serum albumin and C-reactive protein levels.

RESULTS

Standard PTA was performed 14,868 times in 5,462 patients. Of these, 742 had cancer and 384 met the inclusion criteria. Multivariate analysis revealed that older age, creatinine clearance <60 mL/min, and high GPS significantly increased the auditory threshold at frequencies of 500-8,000 Hz. A history of platinum drug use and male sex increased the auditory threshold at frequencies >4,000 and >2,000 Hz, respectively.

CONCLUSION

The GPS was independently associated with elevated standard PTA thresholds in patients with cancer. These results suggest an association between malnutrition/chronic inflammation and hearing loss and provide new information for planning clinical research on hearing loss prevention.

Development and validation of the screening tool for age-related hearing loss in the community based on the information platform

INTRODUCTION

Currently, age-related hearing loss has become prevalent, awareness and screening rates remain dismally low. Duing to several barriers, as time, personnel training and equipment costs, available hearing screening tools do not adequately meet the need for large-scale hearing detection in community-dwelling older adults. Therefore, an accurate, convenient, and inexpensive hearing screening tool is needed to detect hearing loss, intervene early and reduce the negative consequences and burden of untreated hearing loss on individuals, families and society.

OBJECTIVES

The study harnessed "medical big data" and "intelligent medical management" to develop a multi-dimensional screening tool of age-related hearing loss based on WeChat platform.

METHODS

The assessment of risk factors was carried out by cross-sectional survey, logistic regression model and receiver operating characteristic (ROC) curve analysis. Combining risk factor assessment, Hearing handicap inventory for the elderly screening version and analog audiometry, the screening software was been developed by JavaScript language and been evaluated and verified.

RESULTS

A total of 401 older adults were included in the cross-sectional study. Logistic regression model (univariate, multivariate) and reference to literature mention rate of risk factors, 18 variables (male, overweight/obesity, living alone, widowed/divorced, history of noise, family history of deafness, non-light diet, no exercising habit, smoking, drinking, headset wearer habit, hypertension, diabetes, hyperlipidemia, cardiovascular and cerebrovascular diseases, hyperuricemia, hypothyroidism, history of ototoxic drug use) were defined as risk factors. The area under the ROC curve (AUC) of the cumulative score of risk factors for early prediction of age-related hearing loss was 0.777 [95% CI (0.721, 0.833)]. The cumulative score threshold of risk factors was defined as 4, to classify the older adults into low-risk (< 4) and high-risk (≥ 4) hearing loss groups. The sensitivity, specificity, positive predictive value, and negative predictive value of the screen tool were 100%, 65.5%, 71.8%, and 100.0%, respectively. The Kappa index was 0.6.

CONCLUSIONS

The screening software enabled the closed loop management of real-time data transmission, early warning, management, whole process supervision of the hearing loss and improve self-health belief in it. The software has huge prospects for application as a screening approach for age-related hearing loss.

Progression of hearing loss and choice of hearing aids by patients in their 60s, 70s, and 80s and older: experience in the Japanese super-aged era

Background: Demographic data of patients with sensorineural hearing loss (SNHL) in super-aged societies are still limited.Aims/objectives: To report audiometric statistics of SNHL and hearing aid (HA) use in patients in their 60s, 70s, and 80s and older during the super-aged era.Material and methods: Medical charts and audiograms of 2064 older patients with SNHL who visited a Japanese University Hospital in 2007-2018 were retrospectively reviewed. Among 270 patients referred to the HA service unit (HASU), the percentage of final decisions to continue using HAs was calculated.Results: The average pure tone thresholds on initial visit to the clinic were 56.9, 60.6, 69.4, and 82.4 dB HL in patients in their 60s, 70s, 80s, and 90s, respectively. The rates of progression were 0.25, 0.87, 1.19, and 1.37 dB/year in patients in their 50s, 60s, 70s, and 80s, respectively. The percentage of patients in HASU who chose to use HAs did not differ among the 60s (59.3%), 70s (51.2%), and 80s and older (58.2%).Conclusions and significance: The clinical picture of patients with SNHL in their 70s and 80s differs because progression accelerates exponentially through these ages. HAs can be recommended to older adult patients in all the age groups.