Factors Associated With Dermatoporosis

Overview

Dermatoporosis is a chronic syndrome of skin insufficiency or fragility. It is characterized by cutaneous atrophy, senile purpura and stellate pseudoscars. Dermatoporosis prevalence is 37% in ≥65 years. The objective was to determine factors associated with this diagnosis in \>60 years old patients of the outpatient clinic in the Hospital Central "Dr. Ignacio Morones Prieto " San Luis Potosí, México. An observational, cross-sectional, descriptive, and analytical study was performed. Patients \>60 years old were selected. A clinical history, clinical examination, and application of a validated diagnostic self-questionnaire were performed.

Dermatoporosis is a chronic syndrome of skin insufficiency or fragility. It is characterized by cutaneous atrophy, senile purpura and stellate pseudoscars. Dermatoporosis prevalence is 37% in ≥65 years.The objective was to determine factors associated with this diagnosis in \>60 years old patients of the outpatient clinic in the Hospital Central "Dr. Ignacio Morones Prieto " San Luis Potosí, México. An observational, cross-sectional, descriptive and analytical study was performed. Through consecutive non-probabilistic sampling, patients \> 60 years old were selected, who underwent a clinical history, clinical examination, and the application of a validated diagnostic self-questionnaire. To determine the association of the factors, a multivariate logistic regression analysis, it will be used the PRIMERv6 software with the PERMANOVA package. A p \<0.05 was considered significant. The normality of the distribution of the continuous variables was evaluated with the Shapiro Wilk test. The Student's t test was performed on variables that met the homogeneity of variance requirements. In the variables that did not meet this criterion, a non-parametric analysis was performed with the Mann U Whitney test. For the analysis of categorical variables, Fisher's exact test or chi-square test was used. Continuous variables were reported by mean (median) \[Q1, Q3\] (min - max) and by standard deviations as their distribution corresponds. Nominal categorical variables were expressed as frequencies

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Outcomes