The Burden of Skin and Subcutaneous Diseases in the United States From 1990 to 2017.
Carcinoma, Basal Cell
/ epidemiology
Carcinoma, Squamous Cell
/ epidemiology
Databases, Factual
Female
Global Burden of Disease
Humans
Incidence
Male
Melanoma
/ epidemiology
Prevalence
Sex Factors
Skin Diseases
/ epidemiology
Skin Neoplasms
/ epidemiology
Subcutaneous Tissue
United States
/ epidemiology
Journal
JAMA dermatology
ISSN: 2168-6084
Titre abrégé: JAMA Dermatol
Pays: United States
ID NLM: 101589530
Informations de publication
Date de publication:
01 08 2020
01 08 2020
Historique:
pubmed:
11
6
2020
medline:
16
2
2021
entrez:
11
6
2020
Statut:
ppublish
Résumé
Skin and subcutaneous diseases affect the health of millions of individuals in the US. Data are needed that highlight the geographic trends and variations of skin disease burden across the country to guide health care decision-making. To characterize trends and variations in the burden of skin and subcutaneous tissue diseases across the US from 1990 to 2017. For this cohort study, data were obtained from the Global Burden of Disease (GBD), a study with an online database that incorporates current and previous epidemiological studies of disease burden, and from GBD 2017, which includes more than 90 000 data sources such as systematic reviews, surveys, population-based disease registries, hospital inpatient and outpatient data, cohort studies, and autopsy data. The GBD separated skin conditions into 15 subcategories according to incidence, prevalence, adequacy of data, and standardized disease definitions. GBD 2017 also estimated the burden from melanoma of the skin and keratinocyte carcinoma. Data analysis for the present study was conducted from September 9, 2019, to March 31, 2020. Primary study outcomes included age-standardized disability-adjusted life-years (DALYs), incidence, and prevalence. The data were stratified by US states with the highest and lowest age-standardized DALY rate per 100 000 people, incidence, and prevalence of each skin condition. The percentage change in DALY rates in each state was calculated from 1990 to 2017. Overall, age-standardized DALY rates for skin and subcutaneous diseases increased from 1990 (821.6; 95% uncertainty interval [UI], 570.3-1124.9) to 2017 (884.2; 95% UI, 614.0-1207.9) in all 50 states and the District of Columbia. The degree of increase varied according to geographic location, with the largest percentage change of 0.12% (95% UI, 0.09%-0.15%) in New York and the smallest percentage change of 0.04% (95% UI, 0.02%-0.07%) in Colorado, 0.04% (95% UI, 0.01%-0.06%) in Nevada, 0.04% (95% UI, 0.02%-0.07%) in New Mexico, and 0.04% (95% UI, 0.02%-0.07%) in Utah. The age-standardized DALY rate, incidence, and prevalence of specific skin conditions differed among the states. New York had the highest age-standardized DALY rate for skin and subcutaneous disease in 2017 (1097.0 [95% UI, 764.9-1496.1]), whereas Wyoming had the lowest age-standardized DALY rate (672.9 [95% UI, 465.6-922.3]). In all 50 states and the District of Columbia, women had higher age-standardized DALY rates for overall skin and subcutaneous diseases than men (women: 971.20 [95% UI, 676.76-1334.59] vs men: 799.23 [95% UI, 559.62-1091.50]). However, men had higher DALY rates than women for malignant melanoma (men: 80.82 [95% UI, 51.68-123.18] vs women: 42.74 [95% UI, 34.05-70.66]) and keratinocyte carcinomas (men: 37.56 [95% UI, 29.35-49.52] vs women: 14.42 [95% UI, 10.01-20.66]). Data from the GBD suggest that the burden of skin and subcutaneous disease was large and that DALY rate trends varied across the US; the age-standardized DALY rate for keratinocyte carcinoma appeared greater in men. These findings can be used by states to target interventions and meet the needs of their population.
Identifiants
pubmed: 32520352
pii: 2767074
doi: 10.1001/jamadermatol.2020.1573
pmc: PMC7287935
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
874-881Références
Can J Plast Surg. 2007 Spring;15(1):38-40
pubmed: 19554129
JAMA Dermatol. 2017 May 1;153(5):406-412
pubmed: 28249066
J Invest Dermatol. 2014 Jun;134(6):1527-1534
pubmed: 24166134
Photodermatol Photoimmunol Photomed. 2015 Jan;31(1):26-35
pubmed: 25213656
J Eur Acad Dermatol Venereol. 2010 Dec;24(12):1378-85
pubmed: 20384686
Lancet. 2018 Nov 10;392(10159):1789-1858
pubmed: 30496104
Lancet. 2016 Dec 10;388(10062):e19-e23
pubmed: 27371184
Arch Dermatol. 2012 Feb;148(2):174-8
pubmed: 22351816
Br J Dermatol. 2017 Aug;177(2):373-381
pubmed: 28211039
Lancet. 2012 Dec 15;380(9859):2063-6
pubmed: 23245602
J Am Acad Dermatol. 2017 May;76(5):958-972.e2
pubmed: 28259441
JAMA Cardiol. 2018 May 1;3(5):375-389
pubmed: 29641820
J Invest Dermatol. 2014 Jun;134(6):1499-1501
pubmed: 24825057
Lancet. 2018 Nov 10;392(10159):1736-1788
pubmed: 30496103
Lancet. 2017 Sep 16;390(10100):1260-1344
pubmed: 28919118
PLoS One. 2014 Jul 08;9(7):e102122
pubmed: 25003335
J Skin Cancer. 2016;2016:3874572
pubmed: 27648306
Br J Dermatol. 2013 May;168(5):928-40
pubmed: 23252833