Bilateral Longus Colli Abscesses as a Complication of Advanced Bacterial Rhinosinusitis.

Known complications of acute bacterial rhinosinusitis include retropharyngeal abscess, cavernous sinus thrombosis, intracranial abscess, and associated sequelae. We describe the case of a patient with longus colli abscess formation resulting from acute pansinusitis, complicated by bilateral cavernous sinus thrombosis in the setting of concurrent viral pneumonitis, severe sepsis, and a large area cerebral infarction. The bilateral longus colli abscesses were drained via stereotactic image-guided endonasal sinus surgery, yielding Staphylococcus hominis in culture. The described disease progressed rapidly over a 2-week course amid the COVID-19 pandemic.

SARS-CoV-2 Nasopharyngeal Swab as a Foreign Body: A Case Report.

The SARS-CoV-2 pandemic response utilizes nasopharyngeal swabbing as a prolific testing method for presence of viral RNA. The depth of the swab to the nasopharynx coupled with breakpoints along the shaft leads to a risk for foreign body retention. Here, we present a case of a nasopharyngeal swab that became a retained foreign body during routine swabbing to test for the SARS-CoV-2 virus. Bedside flexible fiberoptic endoscopy was performed and did not reveal a foreign body in the nasopharynx or larynx. Subsequent computed tomography (CT) scan demonstrated the radiopaque retained foreign body at the distal gastroesophageal junction. The patient remained asymptomatic and did not have any upper airway or gastrointestinal symptoms. This unique case demonstrates a potential risk associated with SARS-CoV-2 nasopharyngeal swab testing and highlights management strategies that serve the patient while adequately protecting health care providers. A standardized approach to evaluation optimally includes bedside flexible endoscopy with appropriate personal protective equipment, prompt airway evaluation if aspiration is suspected, and noncontrasted CT imaging if the known foreign body is not identified via other modalities.

Investigating Predictors of Increased Length of Stay After Resection of Vestibular Schwannoma Using Machine Learning.

OBJECTIVE: To evaluate the predictors of prolonged length of stay (LOS) after vestibular schwannoma resection. STUDY DESIGN: Retrospective chart review. SETTING: Tertiary referral center. PATIENTS: Patients who underwent vestibular schwannoma resection between 2008 and 2019. INTERVENTIONS: Variables of interest included age, body mass index, comorbidities, symptoms, previous intervention, microsurgical approach, extent of resection, operative time, preoperative tumor volume, and postoperative complications. Predictive modeling was done through multivariable linear regression and random forest models with 80% of patients used for model training and the remaining 20% used for performance testing. MAIN OUTCOME MEASURES: LOS was evaluated as the number of days from surgery to discharge. RESULTS: Four hundred one cases from 2008 to 2019 were included with a mean LOS of 3.0 (IQR = 3.0-4.0). Postoperatively, 14 (3.5%) of patients had LOS greater than two standard deviations from the mean (11 days). In a multivariate linear regression model (adjusted R2 = 0.22; p < 0.001), preoperative tumor volume (p < 0.001), coronary artery disease (p = 0.002), hypertension (p = 0.029), and any major complication (p < 0.001) were associated with increased LOS (by 0.12, 3.79, 0.87, and 3.20 days respectively). A machine learning analysis using a random forest identified several potential nonlinear relationships between LOS and preoperative tumor dimensions (length, volume) and operative time that were not captured on regression. The random forest model had lower prediction error compared to the regression model (RMSE 5.67 vs. 44.59). CONCLUSIONS: Tumor volume, coronary artery disease, hypertension, and major complications impact LOS. Machine learning methods may identify nonlinear relationships worthy of targeted clinical investigation and allow for more accurate patient counseling.

No Shortage of Decibels in Music City: Evaluation of Noise Exposure in Urban Music Venues.

OBJECTIVES/HYPOTHESIS: To measure and report noise exposure at urban music venues and assess the risk of noise-induced hearing loss by comparing these measures to the National Institute of Occupations Safety and Health (NIOSH) guidelines. STUDY DESIGN: Observational study. METHODS: A commercially available smartphone and external calibrated microphone were used to measure sound levels at urban music venues. The maximum sound level, equivalent continuous sound level, and statistical noise levels (L10, L50, L75, L90) were recorded. RESULTS: The average equivalent continuous sound level was 112.0 (±4.9) dBA, and the average maximum sound level was 127.0 (±3.2) dBA. The L90 average (sound levels at or above this loudness for 90% of measured exposure time) was 101.1 (±5.5) dBA, and the L10 average was 115.2 (±5.0) dBA. Based off of NIOSH guidelines, noise exposure duration at the L10 average should not exceed 28 seconds, and those at the L90 average should not exceed 12 minutes. CONCLUSIONS: Smartphone applications using external calibrated microphones can provide useful sound measurements. Data show that randomly sampled music venues may have noise levels that place patrons without hearing protection at risk for noise-induced hearing loss with prolonged exposure. LEVEL OF EVIDENCE: NA Laryngoscope, 131:25-27, 2021.

The Effects of Geographic Isolation and Social Support on the Health of Wisconsin Women.

BACKGROUND: Rural residents are less likely to receive preventive health screening, more likely to be uninsured, and more likely to report fair to poor health than urban residents. Social disconnectedness and perceived isolation are known to be negative predictors of self-rated physical health; however, the direct effects of geographic isolation and social support on overall health have not been well elucidated. METHODS: A cross-sectional survey of women (n = 113) participating in Wisconsin Rural Women's initiative programming was conducted, which included measures of geographic isolation, an assessment of overall health, and social support using the validated Interpersonal Support Evaluation List with 3 subscales, including belonging support, tangible support, and appraisal support. RESULTS: Geographic isolation was shown to be a negative predictor of belonging support (P = .0064) and tangible support (P = .0349); however, geographic isolation was not a statistically significant predictor of appraisal support. A strong and direct relationship was observed between social support and self-perceived health status among this population of Wisconsin women, and hospital access based on geographic proximity was positively correlated (P = .028) with overall health status. CONCLUSIONS: The direct relationship between social support and overall health demonstrated here stresses the importance of developing and maintaining strong social support networks, which can be improved through rural support groups that have the unique ability to assist rural residents in fostering social support systems, advocating stress management techniques, and achieving a greater sense of well-being.