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The Dilemma of Central Presbycusis

2014· article· en· W2324123242 on OpenAlexaboutno aff
Dennis A. Colucci

Bibliographic record

VenueThe Hearing Journal · 2014
Typearticle
Languageen
FieldHealth Professions
TopicMedical Practices and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsPresbycusisAudiologyHearing lossDementiaCognitionSentencePsychologyDichotic listeningCognitive declineMedicineDiseaseDevelopmental psychologyNeuroscienceInternal medicine

Abstract

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Figure: © iStock/CreatistaThe brain's ability to process sound into meaningful events is notably altered by aging and, specifically, by hearing loss and cognition. The central degradation caused by peripheral hearing loss, independent of other influences, can result in memory loss, dementia, and Alzheimer's disease.Figure: Dennis A. Colucci, AuD, MAKnown determinants that delay cognitive changes include level of education, physical exercise, intellectual engagement, social networking, friendships, and a healthy diet. Remarkably, most of these factors are related to hearing acuity and auditory skills. Recent investigations have shown that hearing loss is associated with a reduction in whole brain and regional volumes ( Neuroimage 2014;90:84-92http://www.sciencedirect.com/science/article/pii/S1053811914000032). After adjustment for other conditions, including cardiovascular risk, it was estimated that the brain's aging is accelerated by 6.4 years in those with a speech-frequency pure-tone average greater than 25 dB. In terms of functional abilities, a cross-sectional analysis in a separate study demonstrated that hearing loss was associated with equivalent effects on cognitive test scores as seven years of aging (J Gerontol A Biol Sci Med Sci 2011;66[10]:1131-1136http://biomedgerontology.oxfordjournals.org/content/66A/10/1131.abstract). Even more evidence comes from research indicating that patients who perform very poorly (< 50%) on the Synthetic Sentence Identification–Ipsilateral Competing Message or Dichotic Sentence Identification test are at seven to 12 times the risk of developing Alzheimer's disease within the subsequent three to 10 years (Arch Otolaryngol Head Neck Surg 2011;137[4]:390-395http://archotol.jamanetwork.com/article.aspx?articleid=716248#ref-ooa15011-7; J Am Geriatr Soc 2002;50[3]:482–488.http://onlinelibrary.wiley.com/doi/10.1046/j.1532-5415.2002.50114.x/abstract?systemMessage=Wiley+Online+Library+will+be+disrupted+Saturday%2C+15+March+from+10%3A00-12%3A00+GMT+%2806%3A00-08%3A00+EDT%29+for+essential+maintenance) BEYOND DEFAULT PRESCRIPTIONS Without competent hearing care, patients experience declining quality of life from a treatable condition. Furthermore, audiological rehabilitation is not easy. It can't be simplified by a system that places technology as the answer to hearing loss, rather than a tool of a qualified provider and hearing therapist. Clinically, a diagnostic evaluation may include a complete hearing evaluation, loudness tolerance scaling, otoacoustic emissions, auditory brainstem response to complex sounds, immittance, speech-in-noise tests, and a Mini-Mental State Examination or Montreal Cognitive Assessment if cognition is in question. With this knowledge, the audiologist and primary care physician can proceed with amplification and specialist referrals as they start the process of developing and renewing the patient's engagement. To achieve the best outcome and maximize neuroplastic changes, hearing aid fitting must start with hard clinical findings, followed by verification and validation studies to ensure brain-friendly processing and to avoid negative neuroplasticity and misophonia. No longer is choosing a default prescription—a best-fit scenario out of the 1,430 available (AudiologyOnline; Apr. 9, 2012http://www.audiologyonline.com/articles/20q-same-or-different-comparing-769)—and getting the patient's blessing acceptable practice, especially since patients don't know what constitutes maximum benefit until it is provided and scientific measures to guarantee that outcome are made available. A number of questionnaires are available to help assess outcomes. I use the Abbreviated Profile of Hearing Aid Benefit (APHAB). Nevertheless, the most rewarding finding is when the patient tells me that I have changed his or her life forever. Creating maximal engagement requires a variety of hands-on audiological services, with the goals of social normalization and reduction in isolation. These services consist of patient profiling; developing a collaborative relationship; providing varying degrees of directive counseling with music therapy, auditory training, and situational listening skills instruction; and qualifying the benefits of amplification while removing communication stress. While not all patients are willing to use computerized instruction, auditory training can be streamlined if patients are directed to utilize their hearing aids during all waking hours, venture into acceptable social situations, and avoid long periods of quiet time by listening to music or television, or by participating in other engagements. I use activities of daily living as a benchmark for directive counseling in this area. Delaying hearing loss intervention is not only profoundly detrimental to individual quality of life, but also to the ailing healthcare system, as one in three seniors die with Alzheimer's or another dementia at a cost of $203 billion a year in the United States (Alzheimer's Facts and Figures; Alzheimer's Associationhttp://www.alz.org/alzheimers_disease_facts_and_figures.asp). With this knowledge, the new role of audiology becomes obvious as we shift gears toward treatment of central presbycusis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0780.036

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.429
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2014
Admission routes1
Has abstractyes

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