Asthma, chronic rhinosinusitis and laryngopharyngeal reflux.

peer reviewe

Correction: Exploring the potential of Chat-GPT as a supportive tool for sialendoscopy clinical decision making and patient information support (European Archives of Oto-Rhino-Laryngology, (2023), 10.1007/s00405-023-08104-8)

peer reviewedIn this article, the ethics declaration statement was missing and it should have been read as “The author Jerome R. Lechien is also guest editor of the special issue on ‘ChatGPT and Artificial Intelligence in Otolaryngology-Head and Neck Surgery’. He was not involved with the peer review process of this article”. The original article was updated

Facial nerve palsy following parotid gland surgery : A machine learning prediction outcome approach

Machine learning (ML)-based facial nerve injury (FNI) forecasting grounded on multicentric data has not been released up to now. Three distinct ML models, random forest (RF), K-nearest neighbor, and artificial neural network (ANN), for the prediction of FNI were evaluated in this mode. A retrospective, longitudinal, multicentric study was performed, including patients who went through parotid gland surgery for benign tumors at three different university hospitals. Seven hundred and thirty-six patients were included. The most compelling aspects related to risk escalation of FNI were as follows: (1) location, in the mid-portion of the gland, near to or above the main trunk of the facial nerve and at the top part, over the frontal or the orbital branch of the facial nerve; (2) tumor volume in the anteroposterior axis; (3) the necessity to simultaneously dissect more than one level; and (4) the requirement of an extended resection compared to a lesser extended resection. By contrast, in accordance with the ML analysis, the size of the tumor (>3 cm), as well as gender and age did not result in a determining favor in relation to the risk of FNI. The findings of this research conclude that ML models such as RF and ANN may serve evidence-based predictions from multicentric data regarding the risk of FNI. Along with the advent of ML technology, an improvement of the information regarding the potential risks of FNI associated with patients before each procedure may be achieved with the implementation of clinical, radiological, histological, and/or cytological data

Validation of the Quality Analysis of Medical Artificial Intelligence (QAMAI) tool: a new tool to assess the quality of health information provided by AI platforms

Background: The widespread diffusion of Artificial Intelligence (AI) platforms is revolutionizing how health-related information is disseminated, thereby highlighting the need for tools to evaluate the quality of such information. This study aimed to propose and validate the Quality Assessment of Medical Artificial Intelligence (QAMAI), a tool specifically designed to assess the quality of health information provided by AI platforms. Methods: The QAMAI tool has been developed by a panel of experts following guidelines for the development of new questionnaires. A total of 30 responses from ChatGPT4, addressing patient queries, theoretical questions, and clinical head and neck surgery scenarios were assessed by 27 reviewers from 25 academic centers worldwide. Construct validity, internal consistency, inter-rater and test–retest reliability were assessed to validate the tool. Results: The validation was conducted on the basis of 792 assessments for the 30 responses given by ChatGPT4. The results of the exploratory factor analysis revealed a unidimensional structure of the QAMAI with a single factor comprising all the items that explained 51.1% of the variance with factor loadings ranging from 0.449 to 0.856. Overall internal consistency was high (Cronbach's alpha = 0.837). The Interclass Correlation Coefficient was 0.983 (95% CI 0.973–0.991; F (29,542) = 68.3; p < 0.001), indicating excellent reliability. Test–retest reliability analysis revealed a moderate-to-strong correlation with a Pearson’s coefficient of 0.876 (95% CI 0.859–0.891; p < 0.001). Conclusions: The QAMAI tool demonstrated significant reliability and validity in assessing the quality of health information provided by AI platforms. Such a tool might become particularly important/useful for physicians as patients increasingly seek medical information on AI platforms

Global overview of the management of acute cholecystitis during the COVID-19 pandemic (CHOLECOVID study)

Background: This study provides a global overview of the management of patients with acute cholecystitis during the initial phase of the COVID-19 pandemic. Methods: CHOLECOVID is an international, multicentre, observational comparative study of patients admitted to hospital with acute cholecystitis during the COVID-19 pandemic. Data on management were collected for a 2-month study interval coincident with the WHO declaration of the SARS-CoV-2 pandemic and compared with an equivalent pre-pandemic time interval. Mediation analysis examined the influence of SARS-COV-2 infection on 30-day mortality. Results: This study collected data on 9783 patients with acute cholecystitis admitted to 247 hospitals across the world. The pandemic was associated with reduced availability of surgical workforce and operating facilities globally, a significant shift to worse severity of disease, and increased use of conservative management. There was a reduction (both absolute and proportionate) in the number of patients undergoing cholecystectomy from 3095 patients (56.2 per cent) pre-pandemic to 1998 patients (46.2 per cent) during the pandemic but there was no difference in 30-day all-cause mortality after cholecystectomy comparing the pre-pandemic interval with the pandemic (13 patients (0.4 per cent) pre-pandemic to 13 patients (0.6 per cent) pandemic; P = 0.355). In mediation analysis, an admission with acute cholecystitis during the pandemic was associated with a non-significant increased risk of death (OR 1.29, 95 per cent c.i. 0.93 to 1.79, P = 0.121). Conclusion: CHOLECOVID provides a unique overview of the treatment of patients with cholecystitis across the globe during the first months of the SARS-CoV-2 pandemic. The study highlights the need for system resilience in retention of elective surgical activity. Cholecystectomy was associated with a low risk of mortality and deferral of treatment results in an increase in avoidable morbidity that represents the non-COVID cost of this pandemic

Assessment of Sleep Features, Mental Health Outcomes, and Alcohol and Tobacco Consumption in Residents and Fellows in Otolaryngology Before and During the COVID-19 Pandemic

IMPORTANCE The workload of many residents and fellows in otolaryngology-head and neck surgery has particularly increased during the COVID-19 pandemic; however, outcomes associated with mental health status and sleep remain unclear,OBJECTIVE To assess the sleep, mental status, and alcohol and tobacco consumption habits of residents and fellows before the COVID-19 pandemic (before March 10, 2020) and during the pandemic period (after March 10, 2020).DESIGN, SETTING. AND PARTICIPANTS This cohort study included residents and fellows of 6 university hospitals of European regions with a high prevalence of COVID-19 cases. Survey development, data collection, and analyses were performed from March 10, 2020, to June 30, 2021.MAIN OUTCOMES AND MEASURES Residents and fellows were invited to respond to a survey assessing management of treatment in patients with COVID-19 and related work features; stress and mental health status (Beck Depression Inventory); sleep features (Insomnia Severity Index); and alcohol and tobacco consumption.RESULTS Of 220 potential participants, 128 residents and fellows (58.2%) completed the evaluations. No demographic data on mean (SD) age and sex or gender were collected. The prepandemic mean (SD) score of the Beck Depression Inventory (3.1 [2.8]) significantly increased after the start of the pandemic (mean [SD] score, 4.2 [4.1]; difference, -1.1; 95% CI, -1.96 to -0.24; d = 0.31), and the prepandemic mean (SD) score of the Insomnia Severity Index (4.9 [4.1) significantly increased after the start of the pandemic (mean [SD] score, 6.0 [4.9]; difference, 1.1; 95% CI, 0.00-2.2; d = 0.25). Insomnia concerned 46% of participants (51of 112), and depression concerned 47% of participants (55 of 116) during the pandemic. The mean (SD) prepandemic alcohol consumption (1.7 [2.3] IU per week) significantly increased after the start of the pandemic (mean [SD], 2.9 [4.0] IU per week; difference, 1.2; 95% CI, 0.40-2.00; d = 0.37). Residents and fellows who were mobilized in COVID-19 units reported significant increases of workload (r = 0.2; 95% CI, 0.1-0.3), stress level (r = 0.2; 95% CI, 0.1-0.3), and alcohol consumption (for 5-10 IU per week: mean [SD] prepandemic, 11 [8] IU per week vs postpandemic, 20 [16] IU per week; d = 0.37) and a worsening of sleep status (for moderate insomnia: mean [SD] prepandemic Insomnia Severity Index, 4 [3] vs postpandemic, 15 [12]; d = 0.25). There was a significant association between alcohol consumption and the Beck Depression Inventory score (r = 0.4; 95% CI, 0.2-0.6). The mean (SD) consumption of tobacco decreased from 2.1(1.3) to 0.9 (1.5) (difference, -1.20; 95% CI, -1.50 to -0.85; d = 0.85).CONCLUSIONS AND RELEVANCE Results of this cohort study suggest that the workload of residents and fellows increased during the pandemic, which may be associated with a worsening of mental health and sleep status and an increase of alcohol consumption

Radiomics in Hypopharyngeal Cancer Management: A State-of-the-Art Review.

(1) Background: Hypopharyngeal squamous cell carcinomas usually present with locally advanced disease and a correspondingly poor prognosis. Currently, efforts are being made to improve tumor characterization and provide insightful information for outcome prediction. Radiomics is an emerging area of study that involves the conversion of medical images into mineable data; these data are then used to extract quantitative features based on shape, intensity, texture, and other parameters; (2) Methods: A systematic review of the peer-reviewed literature was conducted; (3) Results: A total of 437 manuscripts were identified. Fifteen manuscripts met the inclusion criteria. The main targets described were the evaluation of textural features to determine tumor-programmed death-ligand 1 expression; a surrogate for microvessel density and heterogeneity of perfusion; patient stratification into groups at high and low risk of progression; prediction of early recurrence, 1-year locoregional failure and survival outcome, including progression-free survival and overall survival, in patients with locally advanced HPSCC; thyroid cartilage invasion, early disease progression, recurrence, induction chemotherapy response, treatment response, and prognosis; and (4) Conclusions: our findings suggest that radiomics represents a potentially useful tool in the diagnostic workup as well as during the treatment and follow-up of patients with HPSCC. Large prospective studies are essential to validate this technology in these patients

Stapler-Assisted Pharyngeal Closure After Total Laryngectomy: A Systematic Review and Meta-Analysis

Introduction: Pharyngocutaneous fistula (PCF) remains the most frequent complication following total laryngectomy (TL). Pharyngeal closure with a surgical stapler (SAPC) has been proposed as an effective closure technique that decreases the rate of PCF, reduces surgical time, decreases the length of hospital stay, and shortens the time required before safely initiating oral feeding.Methods: This study involved a systematic review and meta-analysis of patients with laryngeal cancer who underwent TL and with subsequent stapler pharyngeal closure, in order to analyse the current literature regarding the role of SAPC after TL.Results: The incidence of PCF in the stapler-assisted suture group (SASG) was 9.5% (95% CI 8.2-15.9%), with a mean absolute deviation of 1.12, while in the hand-suture group (HSG) group the incidence was 23.4% (95% CI 23-26.1%), with a mean absolute deviation of 5.71 (p = 0.01).Conclusions: SAPC may decrease the risk of PCF in patients following TL. Based on the current data, SAPC appears to shorten the surgical time and the length of hospital stay. Nevertheless, prospective randomized trials are required to validate these findings

Influence of Otolaryngological Subspecialties on Perception of Transoral Robotic Surgery: An International YO-IFOS Survey

Background: To investigate perception, adoption, and awareness on the part of otolaryngology and head and neck surgeons (OTO-HNS) of transoral robotic surgery (TORS). Methods: Several items assessed: awareness/perception; access to TORS; training; indications and advantages/hurdles to TORS practice. A subanalysis was performed to assess differences according to the identified otolaryngological subspecialties. Results: A total of 359 people completed the survey. Among subspecialties, while for otolaryngologists 30/359 (8.4%) and H&N surgeons 100/359 (27.9%) TORS plays an effective role in hospital stay, laryngologists frequently disagreed (54.3%). There was a lower incidence among rhinologists and otologists (1.9%). Pediatric surgeons (0.8%) reported a positive response regarding the adoption of robotic surgery, and head and neck specialists expressed an even greater response (14.2%). Low adherence was related to perceived cost-prohibitive TORS, by 50% of H&N surgeons. Conclusions: Perception, adoption, and knowledge about TORS play a key role in the application of the robotic system, significantly varying across subspecialties