Comment on Schuderer et al. Risk Factors for Flap Loss: Analysis of Donor and Recipient Vessel Morphology in Patients Undergoing Microvascular Head and Neck Reconstructions. J. Clin. Med. 2023, 12, 5206.

We have read with much interest the study by Schuderer et al [...].

Integrated therapy of intraductal irrigations and sialoendoscopies of salivary glands to improve mouth dryness.

OBJECTIVE: To assess the combination of salivary gland intraductal irrigations (IG) followed by sialoendoscopy irrigations (SI) of the parotid gland on the improvement of salivary gland secretory dysfunction (SGSD). METHODS: We retrospectively analyzed the records of SGSD patients who underwent major salivary gland IG followed by SI during 2014-2020. Records included demographics, systemic background, signs, and symptoms. Improvement was assessed by comparing the mean unstimulated and stimulated whole salivary flow rate (UWSF, SWSF) from the baseline point (before IG procedure) to the last point (after SI) using repeated measures. The between-subjects effects of various factors and covariants were analyzed using repeated measures ANCOVA. RESULTS: One hundred patients were included with an age range of 15-83 years (mean age of 60.1 ± 13.1 years). Improvement was detected on UWSF measurements (p = 0.031, F = 3.83), but not on SWSF measurements (p = 0.165, F = 1.85). The between-subjects effects on UWSF measurements were statistically significant for sex (p = 0.003, F = 9.526) and salivary gland manipulators use (p < 0.001, F = 15.107) and for the interaction between sex and salivary gland manipulators use (p- = 0.002, F = 9.709). Results of long-term follow-up for 10.87 ± 11.79 months after the SI procedure demonstrated sustained improvement in UWSF measurements (p = 0.011, F = 4.91). CONCLUSIONS: The combination of IG followed by SI increases UWSF salivary secretion in SGSD patients for a relatively extended duration.

Body Mass Index and Caries: Machine Learning and Statistical Analytics of the Dental, Oral, Medical Epidemiological (DOME) Nationwide Big Data Study.

The objectives of the research were to analyze the association between Body Mass Index (BMI) and dental caries using novel approaches of both statistical and machine learning (ML) models while adjusting for cardiovascular risk factors and metabolic syndrome (MetS) components, consequences, and related conditions. This research is a data-driven analysis of the Dental, Oral, Medical Epidemiological (DOME) big data repository, that integrates comprehensive socio-demographic, medical, and dental databases of a nationwide sample of dental attendees to military dental clinics for 1 year aged 18−50 years. Obesity categories were defined according to the World Health Organization (WHO): under-weight: BMI < 18.5 kg/m2, normal weight: BMI 18.5 to 24.9 kg/m2, overweight: BMI 25 to 29.9 kg/m2, and obesity: BMI ≥ 30 kg/m2. General linear models were used with the mean number of decayed teeth as the dependent variable across BMI categories, adjusted for (1) socio-demographics, (2) health-related habits, and (3) each of the diseases comprising the MetS definition MetS and long-term sequelae as well as associated illnesses, such as hypertension, diabetes, hyperlipidemia, cardiovascular disease, obstructive sleep apnea (OSA) and non-alcoholic fatty liver disease (NAFLD). After the statistical analysis, we run the XGBoost machine learning algorithm on the same set of clinical features to explore the features' importance according to the dichotomous target variable of decayed teeth as well as the obesity category. The study included 66,790 subjects with a mean age of 22.8 ± 7.1. The mean BMI score was 24.2 ± 4.3 kg/m2. The distribution of BMI categories: underweight (3113 subjects, 4.7%), normal weight (38,924 subjects, 59.2%), overweight (16,966, 25.8%), and obesity (6736, 10.2%). Compared to normal weight (2.02 ± 2.79), the number of decayed teeth was statistically significantly higher in subjects with obesity [2.40 ± 3.00; OR = 1.46 (1.35−1.57)], underweight [2.36 ± 3.04; OR = 1.40 (1.26−1.56)] and overweight [2.08 ± 2.76, OR = 1.05 (1.01−1.11)]. Following adjustment, the associations persisted for obesity [OR = 1.56 (1.39−1.76)] and underweight [OR = 1.29 (1.16−1.45)], but not for overweight [OR = 1.11 (1.05−1.17)]. Features important according to the XGBoost model were socioeconomic status, teeth brushing, birth country, and sweetened beverage consumption, which are well-known risk factors of caries. Among those variables was also our main theory independent variable: BMI categories. We also performed clinical features importance based on XGBoost with obesity set as the target variable and received an AUC of 0.702, and accuracy of 0.896, which are considered excellent discrimination, and the major features that are increasing the risk of obesity there were: hypertension, NAFLD, SES, smoking, teeth brushing, age as well as our main theory dependent variable: caries as a dichotomized variable (Yes/no). The study demonstrates a positive association between underweight and obesity BMI categories and caries, independent of the socio-demographic, health-related practices, and other systemic conditions related to MetS that were studied. Better allocation of resources is recommended, focusing on populations underweight and obese in need of dental care.

Oral verruciform xanthoma in chronic graft-versus-host disease patients.

BACKGROUND: Verruciform xanthoma (VX) is an uncommon benign epithelial lesion which mainly appears in inflamed oral epithelium. In this study, our aim was to present new cases of oral VX (OVX) in chronic graft-versus-host disease (cGVHD) and review the literature. METHODS: We conducted a retrospective chart review of cGVHD patients (2012-2019) to reveal cases of OVX. The demographics, medical background, clinical presentation, treatment provided, and follow-up were obtained. Additionally, Medline was searched using the terms "graft-versus-host disease," "verruciform xanthoma," and "oral." Of the articles, the above-mentioned demographic and clinical features were retrieved. RESULTS: The patient pool included 133 oral cGVHD patients. Three cGVHD patients (males, aged 15-49 years, post-hematologic malignancy) were diagnosed with OVX. All patients had oral mucosal lichenoid lesions, but not in close proximity to the VX lesion. Medline searches revealed 9 cases of OVX in cGVHD patients reported in the literature. Eleven of the 12 patients had oral mucosal lichenoid lesions. Four patients had multiple OVX lesions. All lesions were asymptomatic. Six patients had lesions in the masticatory mucosa (hard palate and gingiva) and 4 patients had lesions in the buccal mucosa. CONCLUSIONS: To the best of our knowledge, this is the largest published OVX in cGVHD series, including 12 patients. It appears that despite the higher prevalence in cGVHD patients relative to the general population, OVXs do not necessarily develop in sites with lichenoid lesions. It is advised that clinicians be familiar with the clinical and histological features in order to consider OVX in the differential diagnosis of oral lesions in cGVHD patients.