Objectives/hypothesis: While virtual reality (VR) has been used as analgesia and anxiolysis for invasive procedures, no literature exists on the use of VR in the pediatric otolaryngology setting. The purpose of this study was to determine the efficacy of VR in reducing pain and anxiety for pediatric otolaryngology patients.
Study Design: Randomized controlled trial.
Methods: A total of 53 patients aged 7-17 undergoing in-office nasal endoscopies were included. Patients were randomized to receive VR or standard of care. Procedural pain, anxiety, and satisfaction scores were recorded from patients and caregivers. The physician filled out a childhood emotional manifestation scale (CEMS).
Results: Patients in VR group reported a significant decrease in pain (0.80 ± 1.06 vs. 2.26 ± 2.38, P = .018) and anxiety (9.50 ± 12.48 vs. 38.48 ± 29.83, P = .0002) and increase in procedural satisfaction (6.40 ± 0.77 vs. 4.74 ± 1.74, P = .0002) compared to patients in control group. CEMS scores were significantly reduced in VR group (5.15 ± 0.46 vs. 9.64 ± 5.66, P = .0001) and caregiver anxiety levels were significantly reduced in VR group (11.50 ± 17.67 vs. 27.39 ± 30.48, P = .041) compared to control group. There were no reported side effects. Procedural time did not significantly differ between groups.
Conclusions: For pediatric otolaryngology patients undergoing in-office nasal endoscopies, VR is a safe and effective form of distraction analgesia and anxiolysis, significantly reducing pain and increasing procedural satisfaction for patients. In addition, VR significantly reduces anxiety for both patients and caregivers without disrupting procedural efficiency and workflow.
Level Of Evidence: 2. Laryngoscope, 131:E1714-E1721, 2021.
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http://dx.doi.org/10.1002/lary.29148 | DOI Listing |
Int J Pediatr Otorhinolaryngol
January 2025
Department of Otorhinolaryngology and Head and Neck Surgery, Antwerp University Hospital, Edegem, Belgium; Department of Translational Neuroscience, Faculty of Medicine and Health Science, University of Antwerp, Antwerp, Belgium. Electronic address:
Purpose: Cystic fibrosis (CF) is the most common autosomal recessive disorder in the Caucasian population. Otolaryngological manifestations pose a significant impact on the quality of life of children with CF. The primary aim of this review is to provide a state of the art update of current literature on the otolaryngological manifestations of CF in children.
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January 2025
Aix-Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, France.
Purpose: Prelingual deaf children with cochlear implants show lower digit span test scores compared to normal-hearing peers, suggesting a working memory impairment. To pinpoint more precisely the subprocesses responsible for this impairment, we designed a sequence reproduction task with varying length (two to six stimuli), modality (auditory or visual), and compressibility (sequences with more or less regular patterns). Results on 22 school-age children with cochlear implants and 21 normal-hearing children revealed a deficit of children with cochlear implants only in the auditory modality.
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January 2025
Division of Phoniatrics and Pediatric Audiology, Department of Otolaryngology, Munich University Hospital and Faculty of Medicine, Munich University (Ludwig-Maximilians-Universität), Germany.
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Cureus
December 2024
Department of Otolaryngology - Head and Neck Surgery, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Jeddah, SAU.
In pediatrics, sublingual lesions are not a common disease. Due to the similarity in their clinical and radiological features, they present a diagnostic challenge. Despite the advancement in imaging techniques, the accurate preoperative diagnosis of sublingual lesions may fail.
View Article and Find Full Text PDFEar Hear
January 2025
San Francisco Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, California, USA.
Objectives: Cochlear implant (CI) user functional outcomes are challenging to predict because of the variability in individual anatomy, neural health, CI device characteristics, and linguistic and listening experience. Machine learning (ML) techniques are uniquely poised for this predictive challenge because they can analyze nonlinear interactions using large amounts of multidimensional data. The objective of this article is to systematically review the literature regarding ML models that predict functional CI outcomes, defined as sound perception and production.
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