The aim of this study is to investigate the clinical profile of patients who developed coronavirus disease 2019 (COVID‐19) after full vaccination. Demographic, epidemiological and clinical data were collected through medical records and online patient‐reported outcome questionnaire from patients who developed symptomatic SARS‐CoV‐2 infection, confirmed by nasopharyngeal swab, at least 2 weeks after completion of vaccination. A total of 153 subjects were included. The most frequent symptoms were: asthenia (82.4%), chemosensory dysfunction (63.4%), headache (59.5%), runny nose (58.2%), muscle pain (54.9%), loss of appetite (54.3%), and nasal obstruction (51.6%). Particularly, 62.3% and 53.6% of subjects reported olfactory and gustatory dysfunction, respectively. Symptom severity was mild or moderate in almost all cases. Chemosensory dysfunctions have been observed to be a frequent symptom even in subjects who contracted the infection after full vaccination. For this reason, the sudden loss of smell and taste could continue to represent a useful and specific diagnostic marker to raise the suspicion of COVID‐19 even in vaccinated subjects. In the future, it will be necessary to establish what the recovery rate is in these patients.Level of Evidence: 4 Laryngoscope, 132:419–421, 2022

This study evaluates the quality and readability of informed consent documents generated by AI platforms ChatGPT-4 and Bard Gemini Advanced compared to those written by a first-year oral surgery resident for common oral surgery procedures. The evaluation, conducted by 18 experienced oral and maxillofacial surgeons, assessed consents for accuracy, completeness, readability, and overall quality. ChatGPT-4 consistently outperformed both Bard and human-written consents. ChatGPT-4 consents had a median accuracy score of 4 [IQR 4-4], compared to Bard's 3 [IQR 3-4] and human's 4 [IQR 3-4]. Completeness scores were higher for ChatGPT-4 (4 [IQR 4-5]) than Bard (3 [IQR 3-4]) and human (4 [IQR 3-4]). Readability was also superior for ChatGPT-4, with a median score of 4 [IQR 4-5] compared to Bard and human consents, both at 4 [IQR 4-4] and 4 [IQR 3-4], respectively. The Gunning Fog Index for ChatGPT-4 was 17.2 [IQR 16.5-18.2], better than Bard's 23.1 [IQR 20.5-24.7] and the human consents' 20 [IQR 19.2-20.9]. Overall, ChatGPT-4's consents received the highest quality ratings, underscoring AI's potential in enhancing patient communication and the informed consent process. The study suggests AI can reduce misinformation risks and improve patient understanding, but continuous evaluation, oversight, and patient feedback integration are crucial to ensure the effectiveness and appropriateness of AI-generated content in clinical practice.

Laryngeal squamous cell carcinoma (LSCC) is the second most common cancer among head and neck cancers. Despite a lower incidence of laryngeal carcinoma, new diagnostic techniques, and more targeted therapies, the overall survival has not changed significantly in the last decades, leading to a negative prognosis in advanced stages. Recently, several studies have focused on the identification of biomarkers that may play a critical role in the pathogenesis of LSCC. Reviewing the literature on the main databases, this study aims to investigate the role of some biomarkers in LSCC that are correlated with oxidative stress and inflammation: heat shock proteins; metallothioneins; nuclear factor erythroid 2-related factor 2; heme oxygenase; cyclooxygenase-2; and micro ribonucleic acids. This review shows that biomarker expression depends on the type, grade of differentiation, stage, and site of carcinoma. In addition, the role of these biomarkers in LSCC is still little-known and little-studied. However, the study of biomarker expression and the detection of a possible correlation with patients’ epidemiological, clinicopathological, and therapeutics data may lead to better awareness and knowledge of the tumor, to the identification of the best therapeutic strategy, and the most proper follow-up protocol tailored for each patient. In conclusion, the achievement of these goals may improve the prognosis of LSCC patients.

Purpose: This study aimed to evaluate the utility of large language model (LLM) artificial intelligence tools, Chat Generative Pre-Trained Transformer (ChatGPT) versions 3.5 and 4, in managing complex otolaryngological clinical scenarios, specifically for the multidisciplinary management of odontogenic sinusitis (ODS). Methods: A prospective, structured multidisciplinary specialist evaluation was conducted using five ad hoc designed ODS-related clinical scenarios. LLM responses to these scenarios were critically reviewed by a multidisciplinary panel of eight specialist evaluators (2 ODS experts, 2 rhinologists, 2 general otolaryngologists, and 2 maxillofacial surgeons). Based on the level of disagreement from panel members, a Total Disagreement Score (TDS) was calculated for each LLM response, and TDS comparisons were made between ChatGPT3.5 and ChatGPT4, as well as between different evaluators. Results: While disagreement to some degree was demonstrated in 73/80 evaluator reviews of LLMs’ responses, TDSs were significantly lower for ChatGPT4 compared to ChatGPT3.5. Highest TDSs were found in the case of complicated ODS with orbital abscess, presumably due to increased case complexity with dental, rhinologic, and orbital factors affecting diagnostic and therapeutic options. There were no statistically significant differences in TDSs between evaluators’ specialties, though ODS experts and maxillofacial surgeons tended to assign higher TDSs. Conclusions: LLMs like ChatGPT, especially newer versions, showed potential for complimenting evidence-based clinical decision-making, but substantial disagreement was still demonstrated between LLMs and clinical specialists across most case examples, suggesting they are not yet optimal in aiding clinical management decisions. Future studies will be important to analyze LLMs’ performance as they evolve over time.

The objective of this study was to meticulously examine the diverse vocal rehabilitation techniques that are employed following total laryngectomy, with emphasis on their implications on patients’ quality of life and on the determinants influencing the selection of one technique over another. We embarked on a comprehensive literature review, which concentrated on three primary rehabilitation approaches: tracheoesophageal puncture (TEP) accompanied by a vocal prosthesis, esophageal speech acquisition, and electrolarynx utilization. The outcomes assessed included quality of life, functional performance, communication effectiveness, patient satisfaction, and factors governing the choice of technique, such as patient demographics, disease stage, and treatment history. Our findings demonstrated that TEP with vocal prosthesis yielded the most favorable overall quality of life and patient satisfaction. Individuals who underwent TEP exhibited superior speech intelligibility, voice quality, and communication ease compared with those who employed esophageal speech acquisition or electrolarynx utilization. While esophageal speech learning exhibited inferior speech quality and functional performance, it offered cost-effectiveness and diminished maintenance advantages. Electrolarynx utilization emerged as the least preferred approach due to suboptimal speech intelligibility and voice quality. The determinants influencing the choice of vocal rehabilitation technique included patient age, sex, disease stage, and previous treatment history. Patient preferences also substantially contributed to the selection of a specific technique. It is essential for clinicians to consider individual factors and patient inclinations when deliberating on an appropriate vocal rehabilitation method following total laryngectomy. Our investigation underscores the significance of collaborative decision making between clinicians and patients to pinpoint the most fitting rehabilitation technique. Future research endeavors should be directed towards enhancing existing approaches, devising innovative methods, and probing long-term outcomes and cost-effectiveness to optimize patient care in the aftermath of total laryngectomy.