A Novel Screening Tool for Severe Obstructive Sleep Apnea.

Purpose: Obstructive sleep apnea (OSA) is a prevalent condition with long waiting lists for the gold standard polysomnography (PSG) test. Screening tests are essential to identify and prioritize patients with severe OSA. Current questionnaires do not accurately detect severe cases. This study aims to develop an alternative screening tool based on anthropometric and morphological characteristics to determine the severity of OSA. Methods: The study included 149 patients with sleep apnea symptoms who did not have additional diseases. The obstructive sleep apnea morphologic scale (OSAMS) was created using 5 parameters: 3 internal parameters related to the upper respiratory tract (tonsil size, oropharyngeal passage, and hypopharyngeal-laryngeal examination) and 2 external parameters (neck circumference and body mass index). Each parameter was scored, and the total scores were correlated with the apnea-hypopnea index (AHI) of PSG to determine the severity of OSA. Results: A statistically significant moderate positive correlation was found between AHI and OSAMS scores (rho = .491; P < .001). A grand total score >4 provided 80.3% sensitivity and 53.9% specificity to identify patients with severe OSA. OSAMS demonstrated superior results compared to existing questionnaires for OSA screening in our study group. Conclusions: OSAMS is a potential alternative to existing questionnaires to screen patients with severe OSA, offering a practical approach based on morphology during physical examinations.

ChatGPT vs UpToDate: comparative study of usefulness and reliability of Chatbot in common clinical presentations of otorhinolaryngology-head and neck surgery.

PURPOSE: The usage of Chatbots as a kind of Artificial Intelligence in medicine is getting to increase in recent years. UpToDate® is another well-known search tool established on evidence-based knowledge and is used daily by doctors worldwide. In this study, we aimed to investigate the usefulness and reliability of ChatGPT compared to UpToDate in Otorhinolaryngology and Head and Neck Surgery (ORL-HNS). MATERIALS AND METHODS: ChatGPT-3.5 and UpToDate were interrogated for the management of 25 common clinical case scenarios (13 males/12 females) recruited from literature considering the daily observation at the Department of Otorhinolaryngology of Ege University Faculty of Medicine. Scientific references for the management were requested for each clinical case. The accuracy of the references in the ChatGPT answers was assessed on a 0-2 scale and the usefulness of the ChatGPT and UpToDate answers was assessed with 1-3 scores by reviewers. UpToDate and ChatGPT 3.5 responses were compared. RESULTS: ChatGPT did not give references in some questions in contrast to UpToDate. Information on the ChatGPT was limited to 2021. UpToDate supported the paper with subheadings, tables, figures, and algorithms. The mean accuracy score of references in ChatGPT answers was 0.25-weak/unrelated. The median (Q1-Q3) was 1.00 (1.25-2.00) for ChatGPT and 2.63 (2.75-3.00) for UpToDate, the difference was statistically significant (p < 0.001). UpToDate was observed more useful and reliable than ChatGPT. CONCLUSIONS: ChatGPT has the potential to support the physicians to find out the information but our results suggest that ChatGPT needs to be improved to increase the usefulness and reliability of medical evidence-based knowledge.