Association of COVID-19 Vaccination With Changes in Smell and Taste.

Since the introduction of vaccines for severe acute respiratory syndrome coronavirus 2 in the United States, there has been significant vaccine hesitancy, in part due to fear of adverse effects. We sought to investigate the rates of smell and taste changes after COVID-19 vaccination compared to other common vaccines. Our study cohort included individuals identified by Current Procedural Terminology code in the TriNetX database receiving the COVID-19 first series, COVID-19 booster, influenza, tetanus, diphtheria, pertussis (TDAP), or pneumococcal vaccines between December 15, 2020, and August 15, 2023. After 1:1 propensity score matching, postvaccination incidence of disturbance of smell and taste was significantly less likely after COVID-19 first series vaccine compared to influenza (odds ratios, OR: 0.27 [95% confidence interval, CI: 0.20-0.36]), TDAP (OR: 0.35 [95% CI: 0.26-0.47]), and pneumococcal vaccines (OR: 0.17 [95% CI: 0.09-0.32]). Similarly, incidence of disturbance of smell and taste was significantly less likely after COVID-19 booster vaccine compared to the influenza (OR: 0.60 [95% CI: 0.48-0.76]), TDAP (OR: 0.63 [95% CI: 0.47-0.85]), and pneumococcal vaccines (OR: 0.44 [95% CI: 0.28-0.68]). This study builds upon the literature demonstrating the safety of COVID-19 vaccination.

Effect of Hormone Replacement Therapy on Chronic Rhinosinusitis Management.

OBJECTIVES: To investigate whether hormone replacement therapy (HRT) impacts health care resource utilization in the management of chronic rhinosinusitis (CRS) in older women. METHODS: Using the TriNetX US health record database, women 55 years or older with a diagnosis of CRS were included and followed for 3 years. The cohort was stratified into two groups: women who received HRT at the beginning of the study were compared to women who did not receive HRT. The groups were matched by age, race, ethnicity, history of asthma, and history of nasal polyps. Outcomes included whether the patient underwent endoscopic sinus surgery (ESS) and frequency of antibiotic use. Measures of association, Kaplan-Meier analysis, and cohort descriptive statistics were calculated. RESULTS: Of the 65,400 women included, the mean age was 66.9 years. 27.0% and 3.6% of patients had a history of asthma or nasal polyps, respectively. Overall, 2.0% of CRS patients underwent ESS, with the HRT group less likely to undergo ESS [OR: 0.28; 95% CI: (0.25-0.32)] compared to patients who did not receive HRT. When stratified by polyp status, HRT patients with nasal polyps had a greater decrease in ESS rates compared to control than HRT patients without nasal polyps. The HRT group had a higher mean number of antibiotic prescriptions compared to the non-HRT group. CONCLUSION: HRT is associated with decreased utilization of ESS to treat CRS, with a greater effect size for ESS among CRSwNP patients. However, HRT was associated with higher antibiotic utilization. LEVEL OF EVIDENCE: Level 3 Laryngoscope, 2024.

Radiomics analysis with three-dimensional and two-dimensional segmentation to predict survival outcomes in pancreatic cancer.

BACKGROUND: Radiomics can assess prognostic factors in several types of tumors, but considering its prognostic ability in pancreatic cancer has been lacking. AIM: To evaluate the performance of two different radiomics software in assessing survival outcomes in pancreatic cancer patients. METHODS: We retrospectively reviewed pretreatment contrast-enhanced dual-energy computed tomography images from 48 patients with biopsy-confirmed pancreatic ductal adenocarcinoma who later underwent neoadjuvant chemoradiation and surgery. Tumors were segmented using TexRad software for 2-dimensional (2D) analysis and MIM software for 3D analysis, followed by radiomic feature extraction. Cox proportional hazard modeling correlated texture features with overall survival (OS) and progression-free survival (PFS). Cox regression was used to detect differences in OS related to pretreatment tumor size and residual tumor following treatment. The Wilcoxon test was used to show the relationship between tumor volume and the percent of residual tumor. Kaplan-Meier analysis was used to compare survival in patients with different tumor densities in Hounsfield units for both 2D and 3D analysis. RESULTS: 3D analysis showed that higher mean tumor density [hazard ratio (HR) = 0.971, P = 0.041)] and higher median tumor density (HR = 0.970, P = 0.037) correlated with better OS. 2D analysis showed that higher mean tumor density (HR = 0.963, P = 0.014) and higher mean positive pixels (HR = 0.962, P = 0.014) correlated with better OS; higher skewness (HR = 3.067, P = 0.008) and higher kurtosis (HR = 1.176, P = 0.029) correlated with worse OS. Higher entropy correlated with better PFS (HR = 0.056, P = 0.036). Models determined that patients with increased tumor size greater than 1.35 cm were likely to have a higher percentage of residual tumors of over 10%. CONCLUSION: Several radiomics features can be used as prognostic tools for pancreatic cancer. However, results vary between 2D and 3D analyses. Mean tumor density was the only variable that could reliably predict OS, irrespective of the analysis used.