RESUMO
BACKGROUND: Dental caries is the most prevalent chronic infectious oral disease of multifactorial etiology. Increased risk of dental caries development in patients with asthma and allergic rhinitis has been frequently reported. In contrast, only a few studies on dental caries in patients with atopic dermatitis (AD) have been reported. OBJECTIVE: We investigated the association between AD and dental caries development in an adult population in the Republic of Korea. METHODS: A total of 21,606 adults who participated in the Korean National Health and Nutrition Examination Survey, a nationwide, population-based, cross-sectional survey between 2010 and 2015, were included in the study. Multiple logistic regression analyses with confounder adjustment suggested odds ratios (ORs) to identify the possible association between AD and decayed, missing, filled teeth (DMFT) experience compared to non-AD participants. Multiple Poisson regression analyses estimated the mean ratio of the DMFT index according to the presence of AD. RESULTS: After adjusting for various confounding factors, the prevalence of DMFT was significantly associated with AD (OR, 1.58; 95% confidence interval (CI), 1.08~2.29; p=0.017). In addition, the mean value of the DMFT index was significantly different between the AD and non-AD groups (mean ratio, 1.07; 95% CI, 1.00~1.14; p=0.046). CONCLUSION: AD was significantly associated with the development of dental caries. Dermatologists should be aware of the dental manifestations of AD patients and recommend regular dental check-ups for the early detection of caries.
RESUMO
Onychopapilloma is a rare benign neoplasm of the nail bed and the distal matrix. It is the most common cause of monodactylous localized longitudinal erythronychia. Splinter hemorrhage, onycholysis or distal splitting are usually accompanied due to the subungual keratotic growth located in the corresponding linear streak. A 50-year-old female was referred for the evaluation of 1-mm width of erythematous band on the left thumbnail. Distal onycholysis and splinter hemorrhages were seen along the streak with a thread-like horny papule beneath the edge of the nail plate. On histopathologic examination, papillomatosis and acanthosis were observed in the distal nail bed epithelium. The upper layers of the nail bed epithelium showed matrix metaplasia. The nail plate specimen revealed subungual hyperkeratosis with focal hemorrhage. The histopathological findings confirmed the clinical diagnosis of onychopapilloma. Herein, we report a rare case of onychopapilloma presenting as a longitudinal erythronychia.
RESUMO
BACKGROUND: Recently, the number of nationwide medical researches on psoriasis using the National Health Insurance Service database has been on the rise. However, identification of psoriasis using diagnostic codes alone can lead to misclassification. Accuracy of the diagnostic codes and their concordance with medical records should be validated first to identify psoriasis patients correctly. OBJECTIVE: To validate the diagnostic codes of psoriasis (International Classification of Diseases, 10th Revision L40) and to find the algorithm for the identification of psoriasis. METHODS: We collected medical records of patients who received their first diagnostic codes of psoriasis during 5 years from five hospitals. Fifteen percent of psoriasis patients were randomly selected from each hospital. We performed a validation by reviewing medical records and compared 5 algorithms to identify the best algorithm. RESULTS: Total of 538 cases were reviewed and classified as psoriasis (n=368), not psoriasis (n=159), and questionable (n=11). The most accurate algorithm was including patients with ≥1 visits with psoriasis as primary diagnostic codes and prescription of vitamin D derivatives. Its positive predictive value was 96.5% (95% confidence interval [CI], 93.9%~98.1%), which was significantly higher than those of the algorithm, including patients with ≥1 visits with psoriasis as primary diagnostic codes or including ≥1 visits with diagnostic codes of psoriasis (primary or additional) (91.0% and 69.8%). Sensitivity was 90.8% (95% CI, 87.2%~93.4%) and specificity was 92.5% (95% CI, 86.9%~95.9%). CONCLUSION: Our study demonstrates a validated algorithm to identify psoriasis, which will be useful for the nationwide population-based study of psoriasis in Korea.