# Early Age-Related Hearing Loss Investigation (EARHLI): A Randomized Controlled Trial to Assess Mechanisms Linking Early Age-Related Hearing Loss and Alzheimer's Disease and Related Dementias

> **NIH NIH R01** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2024 · $1,190,094

## Abstract

PROJECT SUMMARY/ABSTRACT
This proposal is an early phase II randomized controlled trial (RCT) to obtain preliminary data on mechanisms
and efficacy of a hearing aid-based intervention to prevent cognitive decline in those at risk for Alzheimer’s
Disease and Alzheimer’s Disease Related Dementias (AD/ADRD). The target risk group is 55-75-year old people
with early-stage age-related hearing loss (ARHL) and amnestic mild cognitive impairment. The RCT, entitled
“Early Age-Related Hearing Loss Investigation (EARHLI)” is in response to PAR-18-877, “Early Stage Clinical
Trials for the Spectrum of Alzheimer’s Disease and Age-related Cognitive Decline.” ARHL, the third most
common chronic condition in later life, is associated with cognitive impairment/AD/ADRD. This finding has
recently been extended to early ARHL (borderline-to-moderate hearing loss [20-55 dB] on pure tone audiometry),
which is rarely treated with hearing aids. The mechanisms linking ARHL and AD/ADRD are unknown, but
reduced social engagement and changes in brain organization/connectivity have been proposed. A 2020 Lancet
Commissions report estimated that eliminating ARHL could be associated with an 8% reduction in new dementia
cases, at least as much as well-established risk factors. Yet, 90% of the target population is not treated with
hearing aids and there is a dearth of RCTs testing the efficacy of hearing aids in ARHL. While studies have
suggested hearing aids improve social engagement, brain organization/connectivity, and, in turn, cognition, there
is no RCT evidence supporting these observations. There is one ongoing RCT (ACHIEVE, ClinicalTrials.gov
NCT03243422) examining the effect of a hearing intervention on cognition in older adults with more advanced
ARHL. EARHLI focuses on early ARHL in middle and early older age, a critical time for AD/ADRD prevention.
Unlike ACHIEVE, EARHLI also measures brain organization/connectivity. EARHLI will be a phase II 1:1 RCT of
a hearing aid-based intervention versus a comparator (health education program) conducted over 12 months in
150 participants (n=76 undergoing MRI) with early ARHL at risk for AD/ADRD. The overarching hypothesis is
that the hearing intervention will lead to improved social engagement and brain organization/connectivity that
will lead to improved cognition compared with the comparator arm. This hypothesis will be tested with an intent-
to-treat approach comparing the hearing intervention and comparator arms. Aim 1 is to compare change in
cognitive performance measured with the Alzheimer’s Disease Cooperative Study Preclinical Alzheimer
Cognitive Composite (ADCS-PACC; 1º outcome) and by domain-specific cognitive testing on ADCS-PACC
components (0, 6, 12 months). Aim 2 is to compare change in social engagement measured by activity
participation (1º outcome) and network size/support (at 0, 6, 12 months). Aim 3 is to compare changes in brain
organization/connectivity using task (visual task, auditory regions of interest,1º out...

## Key facts

- **NIH application ID:** 10911957
- **Project number:** 5R01AG075083-03
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** Justin Scott Golub
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $1,190,094
- **Award type:** 5
- **Project period:** 2022-09-15 → 2027-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10911957

## Citation

> US National Institutes of Health, RePORTER application 10911957, Early Age-Related Hearing Loss Investigation (EARHLI): A Randomized Controlled Trial to Assess Mechanisms Linking Early Age-Related Hearing Loss and Alzheimer's Disease and Related Dementias (5R01AG075083-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10911957. Licensed CC0.

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