Association between multimorbidity and periodontal disease in Korean adults: A nationwide cross-sectional cohort study.

OBJECTIVES: This study aimed to investigate the association between multimorbidity, which refers to the presence of two or more chronic diseases, and periodontal disease in Korean adults using national survey data. METHODS: A total of 12,440 Korean adults aged ≥19 years were selected from the seventh Korea National Health and Nutrition Examination Survey (KNHANES). We investigated periodontal disease status based on various variables, including the gender, age, educational level, income level, smoking and alcohol drinking status, frequency of daily toothbrushing, and unmet dental treatment needs. Furthermore, periodontal status according to diagnosed chronic diseases, including hypertension, dyslipidaemia, stroke, myocardial infarction, angina pectoris, and diabetes, was investigated, and the association between multimorbidity and periodontal disease was analysed through multiple logistic regression using SAS 9.4. RESULTS: According to the general characteristics of the study participants, the prevalence of periodontal disease was higher in males, smokers, older age, and lower educational and income levels (p < 0.001). Moreover, as the frequency of daily toothbrushing increased, the distribution of periodontal disease decreased (p < 0.001). The prevalence of periodontal disease was higher in those with chronic diseases than in those without chronic diseases and was statistically significantly higher as the number of diagnosed chronic diseases increased (p < 0.001). Additionally, an increase in the number of chronic diseases was observed to increase the prevalence and risk of periodontal disease. CONCLUSION: These results suggest that multimorbidity significantly affects the prevalence of periodontal disease.

The Impact of Next-generation Sequencing on Interobserver Agreement and Diagnostic Accuracy of Desmoplastic Melanocytic Neoplasms.

Next-generation sequencing (NGS) is increasingly being utilized as an ancillary tool for diagnostically challenging melanocytic neoplasms. It is incumbent upon the pathology community to perform studies assessing the benefits and limitations of these tools in specific diagnostic scenarios. One of the most challenging diagnostic scenarios faced by skin pathologists involves accurate diagnosis of desmoplastic melanocytic neoplasms (DMNs). In this study, 20 expert melanoma pathologists rendered a diagnosis on 47 DMNs based on hematoxylin and eosin sections with demographic information. After submitting their diagnosis, the experts were given the same cases, but this time with comprehensive genomic sequencing results, and asked to render a diagnosis again. Identification of desmoplastic melanoma (DM) improved by 7%, and this difference was statistically significant ( P <0.05). In addition, among the 15 melanoma cases, in the pregenomic assessment, only 12 were favored to be DM by the experts, while after genomics, this improved to 14 of the cases being favored to be DM. In fact, some cases resulting in metastatic disease had a substantial increase in the number of experts recognizing them as DM after genomics. The impact of the genomic findings was less dramatic among benign and intermediate-grade desmoplastic tumors (BIDTs). Interobserver agreement also improved, with the Fleiss multirater Kappa being 0.36 before genomics to 0.4 after genomics. NGS has the potential to improve diagnostic accuracy in the assessment of desmoplastic melanocytic tumors. The degree of improvement will be most substantial among pathologists with some background and experience in bioinformatics and melanoma genetics.