Abstract
BACKGROUND: Iran and its neighboring countries represent four world regions with unique cultures and geography. Skin diseases span a wide diversity of etiologies including infectious, inflammatory, autoimmune, vascular, neurogenic, and oncologic. The Global Burden of Disease Study (GBD) 2015 measures the burden from skin diseases in 195 countries.
METHODS: Epidemiologic data were collected from literature review, survey data, and hospital inpatient/outpatient claims data. These raw data entered modeling using a Bayesian meta-regression tool, DisMod MR-2.1, which yielded prevalence estimates by age/sex/location/year. Prevalence estimates were combined with disability weights to yield years lived with disability (YLDs). YLDs are combined with years of life lost (YLLs), from mortality estimates, to yield disability-adjusted life years (DALYs). DALYs were obtained for 16 skin conditions and both sexes in Iran and 15 surrounding countries. The sociodemographic index (SDI) for each country was also correlated with skin disease DALY rate using the Pearson coefficient (r) with two-tailed P-value.
RESULTS: There was no significant correlation between individual skin diseases and SDI. Acne and dermatitis caused the greatest burden and BCC the lowest burden of skin diseases in Iran and the other 15 countries. SCC and BCC were responsible for the largest discrepancy by sex, with higher burden in males compared to females.
CONCLUSION: Skin diseases, particularly dermatitis and acne, cause considerable burden in Iran and surrounding regions. Objective and transparent epidemiologic data such as GBD has the potential to inform and impact many facets of healthcare, research prioritization, public policy, and international partnerships.