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Abstract Objective This study aims to analyze the distribution of otolaryngologists between urban and rural counties in Pennsylvania. Study Design Retrospective database. Setting American Academy of Otolaryngology–Head and Neck Surgery (AAO‐HNS) database and Centers for Medicare and Medicaid Services (CMS) Database. Methods The AAO‐HNS database (Entnet.org) and the CMS Database were used to identify otolaryngologists, their primary location, and their state of training. The 2023 Rural‐Urban Continuum Codes were used to classify metropolitan (codes 1‐3) and nonmetropolitan counties (codes 4‐9) and determine county populations. Results A total of 388 otolaryngologists were identified across 67 Pennsylvania counties (33 metropolitan, 34 nonmetropolitan), 80% of which were male. There were 354 otolaryngologists in metropolitan counties serving 11.2 million people, with an average of 2.4 otolaryngologists per 100,000 people (/100 k). The majority of otolaryngologists (n = 235, 60.6%) are located in counties designated by code 1. There were 34 otolaryngologists in nonmetropolitan counties serving 1.8 million people, with an average of 2.4 otolaryngologists/100 k. Montour County (code 6) is home to a large academic center and accounts for 14/34 otolaryngologists in the nonmetropolitan counties. With the exception of Montour County, the remaining nonmetropolitan counties averaged 1.0 otolaryngologist/100 k. Only 3 metropolitan counties did not have otolaryngologists compared to 19 nonmetropolitan counties without otolaryngologists. Most otolaryngologists received their residency training in Pennsylvania (n = 177). New York (n = 35) and Maryland (n = 24) were the second most common states for training. Conclusion There is a lack of otolaryngologists in rural counties of Pennsylvania, except in counties home to large academic centers.

Abstract Primary hyperparathyroidism (PHPT) is an endocrine disorder marked by elevated secretion of parathyroid hormone (PTH), which results in hypercalcemia and may cause complications in the kidneys and bones. Diagnosing this condition involves ruling out secondary causes and understanding the complexities of the laboratory values associated with PHPT. The disease has become more recognizable to clinicians in an earlier phase thanks to updated screening guidelines. At present, patients can be diagnosed with “classic,” “normocalcemic,” “normohormonal,” or “asymptomatic” PHPT. Many patients are diagnosed through incidental findings of elevated calcium levels or PTH levels during routine blood tests rather than through the presentation of classic symptoms. If asked, patients will invariably harbor subtle or subclinical manifestations despite the absence of overt symptoms. There is debate on whether truly asymptomatic hyperparathyroidism exists.1 We explore the definition and clinical patterns of asymptomatic hyperparathyroidism and propose concise recommendations for recognizing these patients.

Abstract Obstructive sleep apnea (OSA) is associated with multiple chronic comorbidities with treatments including continuous positive airway pressure (CPAP), upper airway surgery (UAS), and hypoglossal nerve stimulation (HNS). Given the complexity of the condition and multiple treatment options, there is an ongoing debate to determine the best management. O’Connor-Reina et al. recently published a paper titled “Risk of diabetes in patients with sleep apnea: comparison of surgery versus CPAP in a long-term follow-up study.” In their study, the authors stated that OSA patients who received surgery had a 50% less chance of developing diabetes compared to patients who only received CPAP treatment. However, we would like to point out some limitations that warrant attention and caution interpretation of the findings by physicians and patients.

Abstract Objective To characterize the prevalence of inadequate health literacy among otolaryngology patients and assess the association of individual patient factors with inadequate health literacy. Study Design Cross‐sectional study. Setting Tertiary academic medical center otolaryngology clinic. Methods Adult patients presenting to the clinic were recruited from March to June 2022. Participants completed a validated health literacy questionnaire in the waiting room. Data on age, sex, race, insurance, county of residence, and language were extracted from the electronic medical record, linked to the survey responses, and deidentified for analysis. Logistic regression analyses assessed the association between inadequate health literacy and patient factors. Results Of 374 participants, the mean age was 54.8 years (SD = 17.8) and most were white (79%) and native English speakers (95%). The median health literacy score was 14.5 (Q1‐Q3: 12.0‐15.0) and 43 participants (12%) had inadequate health literacy. Bivariate analysis showed the odds of inadequate health literacy were 2.5 times greater for those with public insurance (95% confidence interval [CI]: 1.24‐5.20, P = .011), 3.5 times greater for males (95% CI: 1.75‐6.92, P

Abstract Objective Albumin is considered to be a surrogate marker for inflammation and nutritional status. Levels usually decrease after surgery but little is known about the predictive value of preoperative albumin levels in patients undergoing thyroidectomy. This study aimed to investigate the 30‐day incidence of postoperative outcomes in thyroidectomy patients with and without preoperative hypoalbuminemia. Study Design Retrospective cohort study. Setting TriNetX Database. Methods TriNetX, a federated deidentified database, was retrospectively queried to identify patients who underwent thyroidectomy. Postoperative outcomes within 30 days of thyroidectomy, based on International Classification of Disease, 10th Revision and Current Procedural Terminology codes, in patients with preoperative hypoalbuminemia (≤3.4 g/dL) (cohort 1) were analyzed and compared to patients without hypoalbuminemia (cohort 2). Results After propensity score matching, 2398 patients were identified in each cohort. Hypoalbuminemia patients were more likely to have postoperative pneumonia (odds ratio, OR: 3.472, 95% confidence interval, CI [2.016‐5.978]), acute renal failure (OR: 3.872, 95% CI [2.412‐6.217]), venous thromboembolism (OR: 1.766, 95% CI [1.016‐2.819]), and surgical site infection (OR: 2.353, 95% CI [1.282‐4.32]). Rates of recurrent laryngeal nerve injury were comparable between cohorts. Conclusion Patients undergoing thyroidectomy with preoperative hypoalbuminemia have a higher prevalence of postoperative complications compared to patients without preoperative hypoalbuminemia. While not routinely assessed, preoperative evaluation of serum albumin levels may help guide expectations and optimal management of thyroidectomy patients.

Head and neck cancers (HNC) are a biologically diverse set of cancers that are responsible for over 660,000 new diagnoses each year. Current therapies for HNC require a comprehensive, multimodal approach encompassing resection, radiation therapy, and systemic therapy. With an increased understanding of the mechanisms behind HNC, there has been growing interest in more accurate prognostic indicators of disease, effective post-treatment surveillance, and individualized treatments. This chapter will highlight the commonly used and studied biomarkers in head and neck squamous cell carcinoma.

The COVID-19 pandemic has altered innumerable lives. Although recent mass vaccinations offer a glimmer of hope, the rising death toll and new variants continue to dominate the current scenario. As we begin to understand more about SARS-CoV-2 infections, the territory of reinfections with COVID-19 remains unexplored. In this review, we will discuss several aspects of reinfection: (a) How is COVID-19 reinfection characterized? (b) Does prior literature differentiate between reinfection and reactivation? (c) What SARS-CoV-2 strains do the vaccines target and can they protect against new strains? Larger and longer timeline studies are needed to understand reinfection risks. With the ongoing distribution of the SARS-CoV-2 vaccines to provide protection, the understanding of the possibility for SARS-CoV-2 reinfection remains critical. Abbreviations CDC: Centers for Disease ControlSARS-CoV-2: Severe acute respiratory syndrome coronavirus 2COVID-19: Coronavirus disease 2019RT-PCR: Reverse Transcription Polymerase Chain ReactionPASC: Post-Acute Sequelae of SARS-CoV-2 infection