Susac syndrome is a rare disorder caused by autoimmune-mediated occlusions of microvessels in the brain, retina and inner ear. These occlusions lead to a characteristic clinical triad of central nervous system dysfunction, visual disturbances and vestibule-cochlear deficits. The diagnosis is based on clinical manifestations and complementary studies, which demonstrate the involvement of three systems. There are different treatments that include various immunosuppressive drugs combinations such as corticosteroids, intravenous immunoglobulin, mycophenolate mofetil, among others. We present the case of a 26-year-old woman with left hearing loss, tinnitus and episodes of recurrent vertigo, four weeks after bilateral blurred vision, cerebellar ataxia and encephalopathy. Magnetic resonance imaging of the brain showed multiple rounded hyperintense lesions in t2 and fluid-attenuated inversion recovery (FLAIR), hypointense in t1, at the middle level of the corpus callosum, internal capsule, cerebellum and right middle cerebellar peduncle. The audiometry evidenced bilateral perceptual hearing loss, predominantly in the left ear. Angiography by optical coherence tomography showed obstruction in the deep layer retina arteries. The Susac syndrome was diagnosed and treatment started with methylprednisolone pulses therapy, intravenously 1000 mg/day for 5 days, followed by maintenance with mycophenolate, which completely reversed the encephalopathy, with persistence of mild ataxia and hearing loss. It is important to know the clinical triad characteristic and the complementary studies necessary to arrive at the diagnosis, since immunosuppressive treatment can often be delayed. Our case had an excellent response to corticosteroids.
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Acta Bioeng Biomech
September 2024
Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland.
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelligence-based model to assess the peak torque of the lower limb extensors and flexors. The model was based on real-world results in three groups: hearing ( = 19) and deaf football players ( = 28) and non-training deaf pupils ( = 46).
View Article and Find Full Text PDFJ Acoust Soc Am
January 2025
Department of Biology, University of Aarhus, Aarhus, 8000, Denmark.
Gransier and Kastelein [J. Acoust. Soc.
View Article and Find Full Text PDFCNS Neurosci Ther
January 2025
Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Background: Sudden sensorineural hearing loss (SSNHL) is associated with abnormal changes in the brain's central nervous system. Previous studies on the brain networks of SSNHL have primarily focused on functional connectivity within the brain. However, in addition to functional connectivity, structural connectivity also plays a crucial role in brain networks.
View Article and Find Full Text PDFEar Hear
January 2025
McMaster Institute for Music and the Mind, McMaster University, Hamilton, Ontario, Canada.
Objectives: Live music creates a sense of connectedness in older adults, which can help alleviate the social isolation frequently associated with hearing loss and aging. However, most hearing-aid (HA) users are dissatisfied with the sound quality of live music and rate sound quality as important to them. Assistive listening systems are frequently independent of a user's HAs and fall short in tailoring to each individual's hearing loss.
View Article and Find Full Text PDFLaryngoscope
January 2025
Department of Otolaryngology-Head and Neck Surgery, NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University Vagelos College of Physicians and Surgeons, 180 Fort Washington Avenue, HP8, New York, New York, 10032, U.S.A.
Objectives: Hearing loss (HL) has significant implications on social functioning. Here, we study the relationship between HL, race, and these combined categories as risk factors for discrimination in the large national All of Us cohort.
Methods: The National Institutes of Health All of Us dataset was analyzed after including individuals who completed the Everyday Discrimination Survey between November 2021 and January 2022.
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