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Enregistrement W2324123242 · doi:10.1097/01.hj.0000446438.42386.a8

The Dilemma of Central Presbycusis

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

Notice bibliographique

RevueThe Hearing Journal · 2014
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMedical Practices and Rehabilitation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPresbycusisAudiologyHearing lossDementiaCognitionSentencePsychologyDichotic listeningCognitive declineMedicineDiseaseDevelopmental psychologyNeuroscienceInternal medicine

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,433
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,070
Tête enseignante GPT0,429
Écart entre enseignants0,360 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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