Browsing by Subject "Polysomnogram"

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    Clinical applications of artificial intelligence in sleep medicine: a sleep clinician's perspective
    (Springer, 2023) Bandyopadhyay, Anuja; Goldstein, Cathy; Pediatrics, School of Medicine
    Background: The past few years have seen a rapid emergence of artificial intelligence (AI)-enabled technology in the field of sleep medicine. AI refers to the capability of computer systems to perform tasks conventionally considered to require human intelligence, such as speech recognition, decision-making, and visual recognition of patterns and objects. The practice of sleep tracking and measuring physiological signals in sleep is widely practiced. Therefore, sleep monitoring in both the laboratory and ambulatory environments results in the accrual of massive amounts of data that uniquely positions the field of sleep medicine to gain from AI. Method: The purpose of this article is to provide a concise overview of relevant terminology, definitions, and use cases of AI in sleep medicine. This was supplemented by a thorough review of relevant published literature. Results: Artificial intelligence has several applications in sleep medicine including sleep and respiratory event scoring in the sleep laboratory, diagnosing and managing sleep disorders, and population health. While still in its nascent stage, there are several challenges which preclude AI's generalizability and wide-reaching clinical applications. Overcoming these challenges will help integrate AI seamlessly within sleep medicine and augment clinical practice. Conclusion: Artificial intelligence is a powerful tool in healthcare that may improve patient care, enhance diagnostic abilities, and augment the management of sleep disorders. However, there is a need to regulate and standardize existing machine learning algorithms prior to its inclusion in the sleep clinic.
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    Clinically small tonsils are typically not obstructive in children during drug-induced sleep endoscopy
    (Wiley, 2017-08) Miller, Craig; Purcell, Patricia L.; Dahl, John P.; Johnson, Kaalan; Horn, David L.; Chen, Maida L.; Chan, Dylan K.; Parikh, Sanjay R.; Otolaryngology -- Head and Neck Surgery, School of Medicine
    OBJECTIVE: To determine whether the degree of lateral pharyngeal wall (LPW) obstruction on pediatric drug-induced sleep endoscopy (DISE) correlates with preprocedure tonsillar hypertrophy score on physical examination, and to determine if clinically small tonsils are obstructive. METHODS: Retrospective review of 154 patients who underwent DISE at a single pediatric tertiary care center over a 4-year period. Inclusion criteria were documentation of Brodsky tonsil score on preoperative physical examination. Exclusion criteria were previous tonsillectomy, adenoidectomy, or adenotonsillectomy. Lateral pharyngeal wall obstruction was graded for each patient from 0 (no obstruction) to 3 (severe obstruction) using a validated pediatric DISE scoring system known as the Chan-Parikh scoring system (C-P). Data were analyzed using multivariate linear regression controlling for age at time of DISE and presence of comorbid conditions. RESULTS: One hundred fifteen patients met criteria for analysis. Median age at DISE was 5.1 years. A moderate positive correlation was calculated between Brodsky score and DISE score, Spearman correlation coefficient 0.55, P = < 0.001. Linear regression modeling determined that for every 1-point increase in tonsil score, there was a 0.7-point increase in C-P LPW score (95% confidence interval [0.45, 0.92]). Sensitivity analysis did not detect a difference in correlation between children with comorbid conditions and children who were otherwise in good health. Of the 65 children with a pre-DISE Brodsky tonsil score of 1, 39 (60%) had a LPW score of 0 (no obstruction); nine (14%) had a score of 1 (< 50% obstruction); 11 (17%) had a score of 2 (> 50% obstruction); and six (9%) had a score of 3 (100% obstruction). CONCLUSION: There is a positive correlation between Brodsky Score and DISE LPW score. The majority of children with sleep-disordered breathing with a Brodsky score of 1 did not demonstrate LPW obstruction. These children may benefit from DISE for identification of alternative sites of upper airway obstruction
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    Moving toward standardization: physician reporting of sleep studies
    (American Academy of Sleep Medicine, 2023) Lastra, Alejandra C.; Ingram, David; Park, John; James, Elisabeth; Matthews, Camilla; Canapari, Craig; Mansukhani, Meghna; Stahl, Stephanie M.; Medicine, School of Medicine
    Detailed primary data collected from sleep studies should lead to specific and clear reports with evidence-based clinical recommendations that, when introduced by sleep medicine specialists, create a window of opportunity to support our non-sleep medicine referring teams and to engage patients and caregivers in their care as recipients of the reports. This is how sleep study reporting differs from other test reports; currently, there is wide variation in how the data collected are presented and summarized. The goal of this document is to offer recommendations for structured reporting of sleep studies. We offer a practical, complete, and relevant document and a structure that can be implemented across sleep centers nationwide and does not burden the interpreter. We anticipate some readers will opine that some of the content is beyond the scope of what the interpreter physician needs to include, while others will propose missing data that they feel should have been included. We feel that the flexibility of the proposal accommodates for this and allows for a "first step" toward standardization of physician reporting of sleep studies. High-quality structured reporting of sleep studies is becoming ever more important for patient care, benefiting patients, caregivers, clinicians, durable medical equipment companies, and payers.