IJCS | Volume 33, Nº2, March / April 2020

114 Table 1 - Socio-demographic data Variables N % Sex Female 31 68.89 Male 14 31.11 Ethnicity White 08 17.78 Non-white 37 82.22 Table 2 - Absolute frequency and percentage of each type of psoriasis and PsA Variables N % Type of psoriasis Plaque 32 71.11 Palmoplantar 07 15.56 Plaque + Palmoplantar 03 6.67 Guttate 02 4.44 Generalized Pustular 01 2.22 Arthritis type Symmetrical polyarthritis 36 80.00 Symmetric polyarthritis + spondylitis 05 11.12 Spondylitis 01 2.22 Asymmetric oligoarthritis 01 2.22 Distal arthritis 01 2.22 Mutilating Arthritis 01 2.22 Campos et al. Psoriatic arthritis and cardiovascular risk Int J Cardiovasc Sci. 2020; 33(2):112-118 Original Article The SBP used to calculate the CVR was measured by the researchers during the interview, as well as height and weight—for calculation of bodymass index (BMI)—and abdominal circumference. This score quantifies the percentage risk of developing the main cardiovascular events — coronary artery disease (CAD), stroke, peripheral arterial disease or heart failure — in the next 10 years. Patients with less than 5% probability of presenting any of the aforementioned outcomes were considered at low risk. Patients at intermediate risk were males with calculated risk between 5% and 20% or females with risk between 5% and 10%. High-risk individuals were men with calculated risk greater than 20% and women whose risk is greater than 10%. 26 Data analysis The sociodemographic and clinical characteristics were analyzed through descriptive statistics using frequencies for categorical variables, and mean and standard deviation (SD) for parametric scalar variables with a 95% confidence interval (95% CI), or median and interquartile range (IQR) for non-parametric variables. Shapiro-Wilk test was used to evaluate normality. In inferential analysis, Chi-square and Fisher’s exact test were used to compare frequencies between independent groups. To evaluate the correlation between two scalar variables, the Spearman method was used. Mann-Whitney test was used for independent samples. We considered p < 0.05 as significant. Statistical analysis was performed using the SPSS for MAC program (23.0 version). Results Among the 45 study participants, most were female (68.90%) and the mean age was 53.94 years (standard deviation 9.8). The sociodemographic data are shown in Table 1. The distribution of cutaneous psoriasis and AP forms is shown in Table 2. Most of the sample had plaque psoriasis alone (32 individuals) and the most prevalent type of arthritis in this studywas symmetrical polyarthritis (41 individuals), of which five also presented spondylitis. Most of the patients were diagnosedwith cutaneous psoriasis prior to the diagnosis of PsA (66.67%), 24.44%had both diagnoses on the same occasion, and 8.89% had PsA before cutaneous manifestations. There was no difference in the types of psoriasis or the time of diagnosis of psoriasis or PsA between the different groups of CVR. Regarding the frequency of CVR factors among the patients in this study, dyslipidemia was present in 93%of the sample, 46%were hypertensive, 40%were obese (BMI ≥ 30 kg/m²), 33.3% had type 2 diabetes mellitus, 13.3% self-reported smoking, and 95% presented increased abdominal circumference. Among the 45 participants, 43 had increased waist circumference, that is, women with a circumference greater than or equal to 80 cmandmenwith an abdominal