Original ArticleOpen Access

Application of Receiver Operating Characteristic (ROC) Curve to Determine the Diagnostic Ability of A Validated Ten - Item Questionnaire (SS - 10) In Estimating the Prevalence of Sensitive Skin in Hong Kong Population

ยท
DOI: 10.23958/ijirms/vol04-i07/691ยท Pages: 405 to 413ยท Vol. 4, No. 07, (2019)ยท Published: July 10, 2019
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Abstract

Sensitive skin is a complex skin condition with patients presented mainly subjective neurological symptoms. Prevalence of sensitive skin across populations vary from 13% in Chinese cities to a three-fold higher in American and European countries. Our study aims to develop a cutoff value using the Receiver Operating Characteristics curve in clinical sample in Hong Kong and examine the prevalence of sensitive skin in a community sample across five districts of Hong Kong. Method: The first group of participants consisted of a total of 1,111 new clinic attendees in a local clinic in Kowloon area of Hong Kong. The second group of data was collected from 500 community samples across 5 areas of Hong Kong, with the geographic characteristics ranging from highly to less populated. Participants filled in a questionnaire which contained their demographic information as well as the 10-item version of Sensitive Skin Scale (SS-10). For the clinical sample, a dermatologist diagnosed all the participants for sensitive skin and identified 84 cases (7.56%) of true sensitive skin. Results and conclusion: The Area Under the Curve (AUC) of 0.866 of the ROC curve suggested a good diagnostic ability of SS-10 in population of Hong Kong. A cutoff value of 25.5 with a sensitivity of 91.7% and specificity of 75.5% gave rise to 11.4% of prevalence of sensitive skin in the community sample, which is coherent with that in Mainland China. The study may have significant clinical implications for SS-10 to be a standardized and cost-effective screening tool in Asian populations.

Keywords

Sensitive skinprevalence10-items version of the Sensitive Scalecutoff valueROC curveArea Under the Curve
Author details
Kam Tim Michael Chan
Specialist in Dermatology, Hong Kong Academy of Medicine, Hong Kong SAR, China
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Amy Ho Nam Cheung
PhD (University of Edinburgh), United Kingdom
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