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Eur J Dermatol ; 24(3): 356-60, 2014.
Article in English | MEDLINE | ID: mdl-24979347

ABSTRACT

BACKGROUND: Whereas several studies have underlined the association between severe psoriasis and metabolic syndrome (MetS), the association of androgenetic alopecia (AGA) and MetS have yielded inconsistent results. OBJECTIVE: To investigate the relationship between AGA and the components of MetS in a population of psoriatic male patients. METHODS: A non-interventional, cross-sectional, multicenter study was conducted in France. A standardized questionnaire was completed, including information on components of MetS and other possible risk factors. MetS was defined in this study as a combination of three or more of the four components of MetS: waist circumference, hyperlipidemia, diabetes mellitus and hypertension. In addition, a standardized simplified Norwood classification limited into 5 grades (0-4) was used. RESULTS: In a total of 1073 male patients, hypertension, high waist circumference, diabetes mellitus and hyperlipidemia were observed in 28%, 59%, 11%, and 31%, respectively. In age-adjusted multivariate analysis, severe AGA (grade 3-4 versus grade 0) was associated with the presence of at least one component of MetS. By groups of age, a statistically significant association of severe AGA and MetS was demonstrated in patients over 59 years. Severe AGA was also associated with a first degree familial history of major cardiovascular event in patients older than 59 years. CONCLUSIONS: Our study, based on a simplified but stringent definition of MetS, confirmed the link between severe AGA and individual components of MetS in psoriatic patients. This argues for careful follow-up with regular screening in male psoriatic patients with severe AGA in order to early detect determinants of MetS.


Subject(s)
Alopecia/complications , Metabolic Syndrome/complications , Psoriasis/complications , Adult , Cross-Sectional Studies , Humans , Male , Metabolic Syndrome/diagnosis , Middle Aged , Prospective Studies , Severity of Illness Index
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