ObjectiveThe medial sural artery perforator (MSAP) flap has gained popularity in head and neck reconstruction primarily as a less morbid alternative to the radial forearm free flap (RFFF). However, no direct comparison of thickness exists among the MSAP, RFFF, and anterolateral thigh (ALT) flaps, which together represent the commonly utilized nonosseus‐free flaps in head and neck reconstruction. Thus, this study aimed to compare these flap sites and identify predictors of thickness that will aid in reconstructive surgical planning.Study DesignCross‐sectional study.SettingTertiary referral hospital.MethodsThe thickness of skin and subcutaneous tissue at the RFFF, MSAP, and ALT donor sites were measured in 54 adult patients using Doppler ultrasound. General linear models were generated to identify predictors of flap thickness.ResultsThe mean thickness of the RFFF, MSAP, and ALT flaps was 3.8 ± 2.2 mm, 7.4 ± 3.8 mm, and 9.6 ± 4.7 mm. Body mass index (BMI) was the only statistically significant contributing factor (p < .0001, coefficient: 0.15) for the RFFF. MSAP was affected by age (p = .006, coefficient = 0.06), female gender (p < .0001, coefficient = 3.2), and BMI (p < .001, coefficient = 0.25), while the ALT was affected by female gender (p = .0005, coefficient = 3.3) and BMI (p < .0001, coefficient = 0.35). Thus, the ratio of increase for flap thickness with respect to BMI is 3:5:7 for the RFFF, MSAP, and ALT flaps, respectively.ConclusionThe MSAP is about twice the thickness of the RFFF and 2 mm thinner than the ALT; however, 22% of patients had thicker MSAP than ALT flaps. As the strongest predictors of flap thickness, female gender, and BMI may be taken into consideration during surgical planning for reconstruction.

ImportanceEnvironmental and occupational toxicants have been shown to be associated with an increased prevalence of chronic rhinosinusitis (CRS). However, few to no studies have evaluated patients for CRS using objective testing and workup protocols that fulfill guidelines for CRS diagnostic criteria. Furthermore, no study, to our knowledge, has investigated the risks of CRS in the context of residential exposure through proximity to a commercial pesticide application site.ObjectivesTo evaluate associations of residential proximity to a commercial pesticide application site and the prevalence of CRS with nasal polyps (CRSwNP) and without nasal polyps (CRSwoNP).Design, Setting, and ParticipantsThis was a retrospective cohort study of patients who presented to a tertiary care institution for rhinology evaluation between March 1, 2018, and December 31, 2022.Main Outcomes and MeasuresThe outcome variable was the clinical diagnosis of CRS (CRSwNP, CRSwoNP, or non-CRS control). Patients’ residential addresses were utilized to determine pesticide exposure status based on a validated computational geographic information algorithm based on data from the California Pesticide Use Report System. The dichotomous independent variable of exposure status (exposed or non-exposed) was determined by assessing reports of any pesticide applications within 2000 m of each participant’s residence in 2017. Multivariable logistic regressions assessing CRS status and CRS subtypes were conducted with pesticide exposure as the primary covariate of interest. The primary study outcome and measurements as well as study hypothesis were all formulated before data collection.ResultsAmong a total of 310 patients (90 CRSwNP, 90 CRSwoNP, and 130 control), the mean (SD) age was 50 (17) years; 164 (53%) were female. Race and ethnicity information was not considered. Controlling for patient demographic information, smoking history, county of residence, and medical comorbidities, pesticide exposure was associated with an approximately 2.5-fold increase in odds of CRS (adjusted odds ratio, 2.41; 95% CI, 1.49-3.90). Pesticide exposure was associated with similar risks for CRSwNP (adjusted relative risk ratio [aRRR], 2.34; 95% CI, 1.31-4.18) and CRSwoNP (aRRR, 2.42; 95% CI, 1.37-4.30).Conclusions and RelevanceThe findings of this retrospective cohort study and analysis revealed that residential exposure to commercial pesticide application within a 2000-m buffer was independently associated with an approximately 2.5-fold increase in odds of being diagnosed with CRS. If validated by additional research, this association would have substantial implications for public health.

Purpose To test the hypothesis that newly developed shape measures using optical coherence tomography (OCT) macular volume scans can discriminate patients with perimetric glaucoma from healthy subjects. Methods OCT structural measures defining macular topography and volume were recently developed based on cubic Bézier curves. We exported macular volume scans from 135 eyes with glaucoma (133 patients) and 155 healthy eyes (85 subjects) and estimated global and quadrant-based measures. The best subset of measures to predict glaucoma was explored with a gradient boost model (GBM) with subsequent logistic regression. Accuracy and area under receiver operating curves (AUC) were the primary metrics. In addition, we separately investigated model performance in 66 eyes with mild glaucoma (mean deviation ≥ –6 dB). Results Average (±SD) 24-2 mean deviation was –8.2 (±6.1) dB in eyes with glaucoma. The main predictive measures for glaucoma were temporal inferior rim height, nasal inferior pit volume, and temporal inferior pit depth. Lower values for these measures predicted higher risk of glaucoma. Sensitivity, specificity, and AUC for discriminating between healthy and glaucoma eyes were 81.5% (95% CI = 76.6–91.9%), 89.7% (95% CI = 78.7–94.2%), and 0.915 (95% CI = 0.882–0.948), respectively. Corresponding metrics for mild glaucoma were 84.8% (95% CI = 72.1%–95.5%), 85.8% (95% CI = 87.1%–97.4%), and 0.913 (95% CI = 0.867–0.958), respectively. Conclusions Novel macular shape biomarkers detect early glaucoma with clinically relevant performance. Such biomarkers do not depend on intraretinal segmentation accuracy and may be helpful in eyes with suboptimal macular segmentation. Translational Relevance Macular shape biomarkers provide valuable information for detection of early glaucoma and may provide additional information beyond thickness measurements.