Abstract
The longitudinal association between psoriasis and carotid intima-media thickness (CIMT) has not yet been established. This study aimed do compare CIMT and its change (∆CIMT) after an 8-year follow-up according to psoriasis diagnosis and the association with risk factors in the ELSA-Brasil study. Data from 7564 participants were analyzed (median age of 50.0 [44.0-57.0] years, 56.9% women). CIMT was assessed by ultrasound and ∆CIMT was calculated by subtracting baseline values from follow-up values. Psoriasis participants were identified by self-reported medical diagnosis (n=143) and compared with matched participants without disease (n=572) and with the entire sample without psoriasis (n=7421). Baseline CIMT explained the 8-year CIMT increase only in 36.9% among psoriasis participants and in ∼43.0% in participants without disease. CIMT was associated with age (β=0.002, P=0.002) and hypertension (β=0.029, P=0.034) in psoriasis participants. Among participants without psoriasis, CIMT was associated with age, male sex, low educational attainment, past smoking, obesity, diabetes, hypertension, and dyslipidemia (P<0.05). There was an inverse association of CIMT with private health insurance (β=-0.004, P=0.042) and White ethnicity (β=-0.006, P=0.004) in the entire sample without psoriasis but not in matched participants. Psoriasis participants showed an inverse association between ∆CIMT and diabetes (β=-0.214, P=0.011), while the entire sample without psoriasis showed an inverse association between ∆CIMT and age (β=-0.005, P<0.001), past smoking (β=-0.048, P=0.009), and hypertension (β=-0.048, P=0.009). In conclusion, psoriasis was not associated with CIMT after an 8-year follow-up. The inverse association of ∆CIMT with diabetes in psoriasis participants needs further clarification.
Key words: Cardiovascular risk, Carotid intima-media thickness, Inflammatory disease, Psoriasis, Subclinical arterial disease
Introduction
Psoriasis is a chronic inflammatory disease in which the immune system has a prominent role (1) and affects more than 125 million people in the world (2). Patients with psoriasis have a chronic state of systemic inflammation, higher oxidative stress processes, and dysfunctions in immune cells and adipose tissue, which may lead to an increased risk of atherosclerosis (3,4).
The carotid intima-media thickness (CIMT) is considered a surrogate marker of subclinical atherosclerosis (5) and a predictor of cardiovascular risk in patients with psoriasis (6). A meta-analysis reported that patients with psoriasis are associated with accelerated subclinical atherosclerosis, evidenced by greater CIMT compared with individuals without the disease (7). However, this evidence is refuted by some case-control studies (8) and remains controversial among population-based investigations, with positive (9) and negative (10) findings being reported. A narrative review of relevant PubMed results regarding association between CIMT and cardiovascular risk factors reported that both traditional and novel cardiovascular risk factors were associated with changes in CIMT, which include autoimmune diseases as psoriasis, but with inconsonant conclusions (11).
The progression of CIMT was associated with risk of subsequent cardiovascular events in the general population (12). The longitudinal association between CIMT increase and psoriasis is still scarcely studied. Analyzing whether CIMT increased more over time in patients with psoriasis than in patients without the disease is important for cardiovascular risk screening in this population. Thus, the present study aimed to prospectively analyze the CIMT of participants with and without the diagnosis of psoriasis in an 8-year follow-up using propensity score matching and considering the entire sample without psoriasis. The primary outcome was CIMT difference between groups according to diagnosis of psoriasis. The secondary outcome was the longitudinal association of CIMT with sociodemographic and traditional cardiovascular risk factors according to the diagnosis of psoriasis.
Material and Methods
Study design
This observational study analyzed longitudinal data from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), a prospective cohort study that assessed Brazilian civil servants recruited from public educational and research institutions of six Brazilian state capitals (13). The present study used baseline data from the of ELSA-Brasil (2008-2010) and data from the third visit (2017-2019) collected eight years later. CIMT was measured at baseline and at the eight-year follow-up visit.
The data collection was conducted by an initial interview at the participant’s workplace and by a further visit to the Research Center for the clinical interviews and measurements. Annually, the researchers contacted the participants by phone to collect information about hospital and emergency admissions, medical consultation and procedures (surgeries and exams), and any possible changes in the participant’s health status. All these procedures were conducted by previously trained personnel under strict quality control, following standard protocols.
The ELSA-Brasil study was previously approved by the Ethical Research Committees from all the six institutions involved. All the research procedures were conducted according to the Declaration of Helsinki and all the participants signed an informed consent form.
Diagnosis of psoriasis
Cases of psoriasis were identified according to medical diagnosis based on the participant’s report at the 8-year follow-up data collection visit (14), through the question: “Have you ever been diagnosed with psoriasis by a physician?” The positive respondents were asked to answer the second question: “What was your age at the first diagnosis of psoriasis?” This information was used to calculate disease duration by subtracting the age at diagnosis from the age of the participant at study enrollment. Spontaneous self-reported information of medical diagnosis of psoriasis was also considered for identification at baseline. The use of specific medications for the treatment of psoriasis was investigated among those who reported having the disease, being classified as “treated” (if any medication was reported) and “untreated” (without medication).
Participant matching
Participants from ELSA-Brasil with CIMT assessment at visits 1 and 3 were enrolled in this study (n=7,807). Data from 7,564 participants were included, after 165 exclusions due to prevalent coronary heart disease (heart attack or revascularization) and 78 exclusions due to prevalent stroke, both at baseline. At first, participants with diagnosis of psoriasis at baseline were identified (n=143). Four participants without psoriasis among the overall sample were paired for each participant with psoriasis by propensity score matching, considering age, sex, educational attainment, and having private health insurance. It was considered that pairing for cardiovascular risk factors would mitigate potential effects of psoriasis on CIMT, since this could be attributed to a different prevalence of these risk factors in participants with psoriasis compared to those without disease. Therefore, the group of matched participants without psoriasis totalized 572 participants (Figure 1).
Figure 1. Flowchart of the sampling process. CIMT: Carotid intima-media thickness.
Carotid intima-media thickness (CIMT)
The carotid scans were obtained by a Toshiba Aplio XG ultrasound device (Japan) with a linear 7.5 Mhz transducer, being submitted to image quality assessment in the main reading center in São Paulo by trained technicians. Images were recorded during three cardiac cycles according to the American and Brazilian Societies of Echocardiography recommendations (15). The region of interest (ROI) for CIMT measurement in the ELSA-Brasil study was defined as a 1-cm long segment of the common carotid artery far wall, extending proximally from 1 cm below the carotid bulb. According to the protocol, this location was maintained irrespective of the presence of carotid plaques in the exam, aiming to minimize subjective and heterogeneous changes in the ROI, resulting in image reading changes. CIMT assessment was performed using the MIA software (USA). Board-certified technicians blinded for clinical information interpreted the data according to a standard protocol (15). MIA is a computer-aided program for a semi-automatic procedure: after the operator determines the ROI, no manual measurements are required. The software identifies the lumen-intima and media-adventitia interfaces, discretizes the ROI and obtains CIMT values for each frame during the video. CIMT values in a given exam are determined by the average of the measurements in each of its frames. The methodology of CIMT measurement in ELSA-Brasil has been previously published (16). The average values in millimeters (mm) from the measurements of left and right CIMT at baseline and 8-year follow-up were considered for analysis.
Covariates
The variables of age, sex, educational attainment, ethnicity, private health insurance, obesity, smoking, alcohol consumption, physical activity, dyslipidemia, hypertension, and diabetes were considered as covariates.
Educational attainment was self-reported and the possible responses were: i) less than high school; ii) high school and some college; iii) at least college degree. Ethnicity was coded according to self-reported responses as used in the Brazilian census under the options: i) White; ii) Mixed; iii) Black; iv) Asian; and v) Indigenous. The responses were further classified as White and non-White. Physical activity was assessed by the International Physical Activity Questionnaire (IPAQ) validated for Brazilian adults (17), where participants were classified into physically active (meeting 150 min per week of combined moderate-to-vigorous exercise), or insufficiently active. When asked about smoking habit and alcohol consumption, participants answered whether they never, used to, or currently smoke/drink alcohol (13). Hypertension was defined as systolic blood pressure ≥140 mmHg or diastolic blood pressure ≥90 mmHg after three measurements with prior 5-min rest and 1-min interval between measurements during the visit, or taking antihypertensive medicines (18). The presence of diabetes was defined as medical history of diabetes, use of medication to treat diabetes, or fasting glycaemia ≥126 mg/dL (7.0 mmol/L) or oral glucose tolerance test ≥200 mg/dL (11.1 mmol/L), or glycated hemoglobin A1c ≥6.5% (48 mmol/mol) (19). Dyslipidemia was defined as medical history of dyslipidemia, use of lipid lowering medication, or low-density lipoprotein cholesterol ≥130 mg/dL after a 12-h fast (20). Obesity was defined as body mass index ≥30 kg/m2, which was calculated through objective anthropometric measurements, according to previously reported methods and instruments (13).
Statistical analysis
Descriptive characteristics of the sample that were continuous variables are reported as median and interquartile range because of the non-normal distribution of data confirmed by Kolmogorov-Smirnov test, whereas categorical variables are reported as frequencies. Differences in proportions between groups were analyzed by the chi-squared test.
All the statistical analyses were performed in two steps: first, the variation in CIMT between visits 1 and 3 in participants with psoriasis was compared against the group of matched participants without psoriasis; secondly, the variation in CIMT between visits 1 and 3 in participants with psoriasis was compared against the overall sample without psoriasis.
Values of CIMT from baseline to follow-up were compared by the Wilcoxon test between participants with and without psoriasis. Delta values of CIMT (∆CIMT = follow-up - baseline values) according to psoriasis diagnosis were compared by the Mann-Whitney U test. Then, cross-sectional comparisons of CIMT (at baseline and at follow-up) and ∆CIMT were performed according to categories of independent variables. Values of CIMT and ∆CIMT were log10-transformed for data normalization in linear model analyses. Linear regression was performed to analyze the longitudinal relationship of independent variables with CIMT at follow-up and with ∆CIMT, where categorical independent variables were considered as factors and a reference category was defined for comparison of beta values. Repeated measures ANOVA was performed for CIMT (baseline vs follow-up) considering the psoriasis diagnosis as factor. Levene's test was used for equality of variances and resulted in P=0.459. Statistical significance was considered when P<0.05 using the SPSS Statistical Package version 25.0.
Results
The 7564 included participants had a median age of 50.0 years (interquartile range 44.0 to 57.0), with no difference according to diagnosis of psoriasis (P=0.273). Of the participants with psoriasis (n=143), only 4.9% (n=7) reported taking medications to treat psoriasis, characterizing mild cases. Descriptive characteristics of the sample are presented in Table 1, considering participants with psoriasis vs matched participants without psoriasis and then considering participants with psoriasis vs the overall sample without psoriasis. Participants with psoriasis had higher prevalence of smoking than the matched control group (past smoking 33.6 vs 29.0% and current smoking 17.5 vs 10.3%, P=0.014) and higher proportion of private health insurance (74.1 vs 60.7%, P=0.001), higher educational attainment (complete college and more 65 vs 53.8%, P=0.024), and higher proportion of White ethnicity (67.1 vs 58.7%, P=0.024) than overall participants without psoriasis.
Table 1. Baseline characteristics of the sample.
| Participants with psoriasis (n=143) | Matched participants without psoriasis (n=572) | P-value (psoriasis vs matched participants) | Overall sample without psoriasis (n=7421) | P-value (psoriasis vs overall sample) | |
|---|---|---|---|---|---|
| Age group | 0.990 | 0.671 | |||
| 35-44 | 34 (23.8) | 137 (24.0) | 1960 (26.4) | ||
| 45-54 | 58 (40.6) | 239 (41.8) | 3093 (41.7) | ||
| 55-64 | 37 (25.9) | 141 (24.7) | 1815 (24.5) | ||
| 65-74 | 14 (9.8) | 55 (9.6) | 553 (7.5) | ||
| Gender | 0.762 | 0.808 | |||
| Male | 63 (44.1) | 244 (42.7) | 3194 (43.0) | ||
| Female | 80 (55.9) | 328 (57.3) | 4227 (57.0) | ||
| Ethnicity | 0.282 | 0.024 | |||
| White | 97 (67.1) | 356 (62.2) | 4355 (58.7) | ||
| Mixed | 31 (21.7) | 121 (21.2) | 1693 (22.8) | ||
| Black | 8 (5.6) | 64 (11.2) | 1007 (13.6) | ||
| Asian | 7 (4.9) | 22 (3.8) | 224 (3.0) | ||
| Indigenous | 0 (0.0) | 3 (0.5) | 65 (0.9) | ||
| Not informed | 1 (0.7) | 6 (1.0) | 77 (1.0) | ||
| Educational attainment | 0.501 | 0.024 | |||
| Less than high school | 9 (6.3) | 23 (4.0) | 769 (10.4) | ||
| High school/incomplete college | 41 (28.7) | 169 (29.5) | 2656 (35.8) | ||
| Complete college or more | 93 (65.0) | 380 (66.4) | 3996 (53.8) | ||
| Private health insurance | 0.800 | 0.001 | |||
| No | 37 (25.9) | 154 (26.9) | 2916 (39.3) | ||
| Yes | 106 (74.1) | 418 (73.1) | 4504 (60.7) | ||
| Obesity | 0.216 | 0.387 | |||
| No | 108 (75.5) | 458 (80.2) | 5826 (78.5) | ||
| Yes | 35 (24.5) | 113 (19.8) | 1593 (21.5) | ||
| Smoking | 0.014 | 0.062 | |||
| Never | 70 (49.0) | 347 (60.7) | 4328 (58.3) | ||
| Past | 48 (33.6) | 166 (29.0) | 2142 (28.9) | ||
| Current | 25 (17.5) | 59 (10.3) | 951 (12.8) | ||
| Alcohol consumption | 0.407 | 0.657 | |||
| Never | 15 (10.5) | 41 (7.2) | 750 (10.1) | ||
| Past | 23 (16.1) | 91 (15.9) | 1419 (19.1) | ||
| Current | 105 (73.4) | 440 (76.9) | 5252 (70.8) | ||
| Physical activity | 0.504 | 0.817 | |||
| Inactive | 85 (60.7) | 330 (58.4) | 4480 (61.6) | ||
| Insufficiently active | 20 (14.3) | 68 (12.0) | 911 (12.5) | ||
| Active | 35 (25.0) | 167 (29.6) | 1887 (25.9) | ||
| Diabetes | 0.232 | 0.453 | |||
| No | 119 (83.2) | 498 (87.1) | 6339 (85.5) | ||
| Yes | 24 (16.8) | 74 (12.9) | 1079 (14.5) | ||
| Hypertension | 0.873 | 0.836 | |||
| No | 100 (69.9) | 403 (70.4) | 5233 (70.5) | ||
| Yes | 43 (30.1) | 169 (29.6) | 2187 (29.5) | ||
| Dyslipidemia | 0.913 | 0.822 | |||
| No | 79 (56.0) | 317 (55.5) | 4218 (57.0) | ||
| Yes | 62 (44.0) | 254 (44.5) | 3185 (43.0) |
Data are reported as number (%). Bold type indicates statistical significance (chi-squared test).
CIMT significantly increased from baseline to follow-up in the sample. The median ∆CIMT values showed no significant difference between participants with psoriasis and matched controls (respective median values 0.070 mm [0.010; 0.110] vs 0.065 mm [0.020; 0.120]; Mann-Whitney U test P-value=0.553) and overall sample without psoriasis (respective median values 0.070 mm [0.010; 0.110] vs 0.070 mm [0.020; 0.125]; Mann-Whitney U test P-value=0.326). Participants with psoriasis showed an increase in median CIMT from 0.590 mm [0.525; 0.680] at baseline to 0.650 mm [0.585; 0.730] at follow-up (Wilcoxon test P-value <0.001). Matched controls showed an increase in median CIMT values from 0.580 mm [0.520; 0.665] to 0.645 mm [0.590; 0.735] (Wilcoxon test P-value <0.001), whereas overall sample without psoriasis showed an increase from 0.575 mm [0.510; 0.665] to 0.640 mm [0.585; 0.730] (Wilcoxon test P-value <0.001). No cross-sectional difference in median CIMT values was observed between participants with psoriasis and matched controls at baseline (P=0.372) and at follow-up (P=0.994) visits and overall sample without psoriasis at baseline (P=0.115) and at follow-up (P=0.689) moments. These results are reported in Figure 2.
Figure 2. Violin plot of carotid intima-media thickness (in mm) at baseline and after the 8-year follow-up, according to diagnosis of psoriasis. *P<0.001 (Wilcoxon test).
The median values of CIMT and ∆CIMT according to categories of independent variables is presented in Supplementary Table S1. Participants with 60 years of age and more, who were obese, who were smokers, and those who had diabetes, hypertension, or dyslipidemia showed significantly lower ∆CIMT median values than their counterparts, and even had higher CIMT values at baseline. No difference in CIMT values was observed for alcohol consumption or physical activity. Difference in CIMT according private health insurance was observed only at follow-up, where participants who reported “Yes” had lower median CIMT value than those who reported “No”.
The scatterplot of the relationship between CIMT values at baseline and at follow-up is presented in Figure 3. Participants with psoriasis showed lower angular coefficient (β=0.585, P<0.001) and R2 (0.313) compared to matched controls (β=0.741, P<0.001; R2=0.417) and compared to overall sample without psoriasis (β=0.702, P<0.001; R2=0.416). We also performed a multiple linear regression between baseline and follow-up CIMT adjusted by the interaction term psoriasis*CIMT at follow-up. In the analysis including participants with psoriasis and matched participants without psoriasis, the angular coefficient showed a slight decrease after adjustment for the interaction term (unadjusted β=0.706, P<0.001 vs adjusted β=0.694, P<0.001). When considering participants with psoriasis and the overall sample without psoriasis, the angular coefficient remained practically the same after adjustment for the interaction term (unadjusted β=0.699, P<0.001 vs adjusted β=0.698, P<0.001).
Figure 3. Scatterplot between baseline vs follow-up values of carotid intima-media thickness (CIMT), according to psoriasis diagnosis. β: angular coefficient of linear regression; CI: confidence interval. Multivariate model was simultaneously adjusted for age, sex, ethnicity, educational attainment, private health insurance, obesity, smoking, alcohol consumption, physical activity, diabetes, hypertension, and dyslipidemia.
Table 2 presents the longitudinal relationship of CIMT at follow-up and ∆CIMT values with independent variables, according to the presence or absence of psoriasis. CIMT was associated with age in all three groups regardless of psoriasis. Among participants with psoriasis, CIMT was associated with age (P=0.002) and hypertension (P=0.034). Both groups without disease (matched participants and entire sample) showed a positive association of CIMT at follow-up with age, male sex, low educational attainment, past smoking, obesity, diabetes, hypertension, and dyslipidemia. In the entire sample without psoriasis, CIMT was also associated with current smoking and past alcohol consumption and inversely associated with private health insurance. Regarding ∆CIMT, psoriasis participants showed an inverse association with diabetes (P=0.011), while participants of the entire sample without psoriasis showed an inverse association of ∆CIMT with age, White ethnicity, past smoking, and hypertension. No associations with ∆CIMT were found for matched controls.
Table 2. Longitudinal associations between carotid intima-media thickness (CIMT) and sociodemographic and traditional cardiovascular risk factors in adults with and without psoriasis (PSO) (n=7564).
| CIMT at 8-year follow-up | ||||||||
|---|---|---|---|---|---|---|---|---|
| PSO participants (n=143) | Matched participants (n=572) | Overall sample without PSO (n=7421) | ||||||
| β | P-value | β | P-value | β | P-value | |||
| Age | 0.002 | 0.002* | 0.003 | <0.001* | 0.003 | <0.001* | ||
| Gender (men vs women as reference) | 0.019 | 0.142 | 0.028 | <0.001* | 0.023 | <0.001* | ||
| Ethnicity (White vs non-White as reference) | -0.013 | 0.329 | -0.004 | 0.522 | -0.006 | 0.004† | ||
| Educational attainment | ||||||||
| Complete college or more (reference) | - | - | - | - | - | - | ||
| High school or incomplete college | 0.004 | 0.775 | 0.002 | 0.736 | -0.001 | 0.491 | ||
| Less than high school | 0.017 | 0.512 | 0.047 | 0.006* | 0.032 | <0.001* | ||
| Private health insurance (“Yes” vs “No” as reference) | 0.021 | 0.139 | 0.003 | 0.654 | -0.004 | 0.042* | ||
| Smoking | ||||||||
| Never (reference) | - | - | - | - | - | - | ||
| Past | 0.006 | 0.667 | 0.015 | 0.046† | 0.019 | <0.001* | ||
| Current | 0.005 | 0.786 | 0.010 | 0.376 | 0.017 | <0.001* | ||
| Alcohol consumption | ||||||||
| Never (reference) | - | - | - | - | - | - | ||
| Past | 0.011 | 0.674 | -0.002 | 0.896 | 0.010 | 0.007† | ||
| Current | 0.008 | 0.685 | -0.001 | 0.996 | 0.002 | 0.574 | ||
| Physically active (“Yes” vs “No” as reference) | -0.011 | 0.464 | 0.007 | 0.309 | -0.002 | 0.412 | ||
| Obesity (“Yes” vs “No” as reference) | -0.003 | 0.825 | 0.024 | 0.004* | 0.021 | <0.001* | ||
| Diabetes (“Yes” vs “No” as reference) | -0.003 | 0.850 | 0.032 | 0.001† | 0.036 | <0.001* | ||
| Hypertension (“Yes” vs “No” as reference) | 0.029 | 0.034† | 0.035 | <0.001* | 0.037 | <0.001* | ||
| Dyslipidemia (“Yes” vs “No” as reference) | 0.001 | 0.945 | 0.015 | 0.027† | 0.025 | <0.001* | ||
| ∆CIMT | ||||||
|---|---|---|---|---|---|---|
| PSO participants (n=143) | Matched participants (n=572) | Overall sample without PSO (n=7421) | ||||
| β | P-value | β | P-value | β | P-value | |
| Age | -0.004 | 0.259 | -0.007 | 0.101 | -0.005 | <0.001* |
| Gender (men vs women as reference) | 0.001 | 0.993 | -0.053 | 0.469 | 0.015 | 0.355 |
| Ethnicity (White vs non-White as reference) | -0.038 | 0.523 | -0.072 | 0.335 | -0.034 | 0.039† |
| Educational attainment | ||||||
| Complete college or more (reference) | - | - | - | - | - | - |
| High school or incomplete college | 0.052 | 0.418 | 0.117 | 0.144 | 0.020 | 0.253 |
| Less than high school | 0.019 | 0.880 | 0.043 | 0.815 | -0.016 | 0.571 |
| Private health insurance (“Yes” vs “No” as reference) | 0.000 | 0.998 | -0.026 | 0.752 | -0.014 | 0.403 |
| Smoking | ||||||
| Never (reference) | - | - | - | - | - | - |
| Past | 0.046 | 0.479 | -0.129 | 0.116 | -0.048 | 0.009* |
| Current | 0.040 | 0.617 | 0.008 | 0.949 | 0.017 | 0.502 |
| Alcohol consumption | ||||||
| Never (reference) | - | - | - | - | - | - |
| Past | -0.094 | 0.403 | -0.020 | 0.897 | -0.037 | 0.232 |
| Current | -0.047 | 0.615 | -0.099 | 0.470 | -0.022 | 0.425 |
| Physically active (“Yes” vs “No” as reference) | 0.024 | 0.735 | 0.030 | 0.708 | -0.018 | 0.324 |
| Obesity (“Yes” vs “No” as reference) | 0.013 | 0.853 | 0.139 | 0.128 | 0.027 | 0.169 |
| Diabetes (“Yes” vs “No” as reference) | -0.214 | 0.011* | 0.035 | 0.753 | 0.000 | 0.990 |
| Hypertension (“Yes” vs “No” as reference) | -0.053 | 0.421 | 0.014 | 0.866 | -0.048 | 0.009* |
| Dyslipidemia (“Yes” vs “No” as reference) | -0.091 | 0.115 | 0.046 | 0.532 | -0.025 | 0.124 |
∆: follow-up minus baseline value. CIMT and ∆CIMT values were log10-transformed. *Remained significant after adjustment for all independent variables; †Lost significance after adjustment for all independent variables.
Table 3 presents the ANOVA results for CIMT at baseline and follow-up according to psoriasis. A significant difference in CIMT was found across time (from baseline to follow-up) in the analysis using matched participants without psoriasis and in the analysis including all participants without psoriasis. However, no effect was observed (psoriasis vs matched participants P-value=0.617; psoriasis vs overall sample P-value=0.377) and there was no significant interaction between psoriasis and time in both comparisons (psoriasis vs matched participants P-value=0.813; psoriasis vs overall sample P-value=0.424).
Table 3. Repeated measures ANOVA of carotid intima-media thickness at baseline and at the 8-year follow-up of ELSA-Brasil cohort participants, according to psoriasis diagnosis (n=7564).
| Participants with psoriasis (n=143) | Matched participants without psoriasis (n=572) | Effect P-value | |||
|---|---|---|---|---|---|
| Estimated mean (95%CI) | Estimated mean (95%CI) | Psoriasis | Time | Psoriasis*Time | |
| CIMT | 0.616 | <0.001 | 0.377 | ||
| Baseline | 0.610 (0.591; 0.629) | 0.600 (0.591; 0.610) | |||
| Follow-up | 0.674 (0.652; 0.695) | 0.673 (0.662; 0.684) | |||
| CIMT log10-transformed | 0.593 | <0.001 | 0.462 | ||
| Baseline | -0.223 (-0.236; -0.210) | -0.229 (-0.236; -0.222) | |||
| Follow-up | -0.178 (-0.191; -0.165) | -0.180 (-0.186; -0.173) | |||
| Participants with psoriasis (n=143) | Overall sample(n=7421) | Effect P-value | |||
|---|---|---|---|---|---|
| Estimated mean (95%CI) | Estimated mean (95%CI) | Psoriasis | Time | Psoriasis*Time | |
| CIMT | 0.466 | <0.001 | 0.332 | ||
| Baseline | 0.610 (0.589; 0.631) | 0.598 (0.595; 0.601) | |||
| Follow-up | 0.674 (0.651; 0.696) | 0.671 (0.668; 0.674) | |||
| CIMT log10-transformed | 0.337 | <0.001 | 0.331 | ||
| Baseline | -0.223 (-0.237; -0.209) | -0.232 (-0.234; -0.230) | |||
| Follow-up | -0.178 (-0.192; -0.165) | -0.182 (-0.184; -0.180) | |||
CIMT: carotid intima-media thickness; CI: confidence interval.
Discussion
The present study observed that psoriasis was not associated with CIMT among ELSA-Brasil participants after an 8-year follow-up, whereas ∆CIMT was inversely associated with different cardiovascular risk factors in participants with and without psoriasis.
Santos et al. (16) reported that more than 60% of CIMT variability is not explained by sociodemographic and traditional risk factors and this number may even be lower in the Northern Manhattan Study (21). Since psoriasis was not associated with higher CIMT compared to individuals without psoriasis in the present study, it is not possible to infer about the role of this specific disease as a novel determinant of changes in CIMT over time. This may be at least partially due to the low number of participants with psoriasis in the sample (n=143). In addition, the higher prevalence of smoking among psoriasis participants corroborates with previous findings (22). A possible dose-effect of smoking intensity and duration with psoriasis incidence (23) and an impact on severity of disease and response to treatment have been reported (24). Overall, the ELSA-Brasil cohort presented a low prevalence of smoking compared to the global smoking prevalence of 32.6% among men and 6.5% among women (25).
CIMT after the 8-year follow-up was associated with age and hypertension in participants with psoriasis. The increase in CIMT over time was an expected outcome due to the significant association between CIMT and aging, as reported by previous studies (26). The longitudinal relationship between CIMT and hypertension in the present study corroborated with previous findings in the literature (27). Participants with psoriasis howed an inverse association of ∆CIMT with diabetes, while in the overall sample without psoriasis, an inverse association with hypertension was found, which were unexpected results, since diabetes and hypertension are risk factors for carotid atherosclerosis (28,29). In a previous population-based cohort study, van den Berg et al. (30) observed no vascular risk factors associated with change in CIMT over a 5-year follow-up. The presence of a ceiling effect on ∆CIMT regardless of the presence of psoriasis needs to be further investigated to determine its possible influence on the findings of this study, since participants with traditional risk factors presented lower ∆CIMT values despite having higher CIMT values at both baseline and follow-up.
Another possible explanation for the inverse association of ∆CIMT with diabetes and hypertension is the use of medications, since statin use was higher among participants with hypertension (20.6 vs 7.2% in those without hypertension, P<0.001) and diabetes (25.0 vs 8.8% in those without diabetes, P<0.001), but was not significantly different between participants with and without psoriasis (13.7 vs 11.1%, P=0.338). A meta-analysis reported that the use of atorvastatin was associated with a significant reduction in CIMT among participants with type 2 diabetes (31) and the use of simvastatin associated with antihypertensive medication significantly decreased CIMT (32). The use of low-dose metoprolol CR/XL beta-blocker and fluvastatin was shown to reduce the rate of progression of CIMT in clinically healthy subjects with carotid plaque (33). Mörtsell et al. (34) observed a reduction in CIMT after 48 weeks of use of irbesartan, whereas the group treated with atenolol showed an increase in CIMT. However, one study reported no effect of two-year statin therapy on CIMT, but a lower rate of cardiovascular events in these patients (35). In addition, participants of the ELSA-Brasil cohort had better access to medical treatment compared to the Brazilian population, and the frequency of using medication to treat hypertension, diabetes, and especially dyslipidemia increased from baseline to 8 years of follow-up.
Regarding the inverse association of ∆CIMT with age in the overall sample without psoriasis observed in the present study, a two-sided hypothesis may be speculated: i) younger participants are more likely to have lower CIMT and consequently greater risk of CIMT increase over time than those who already have higher CIMT; and ii) on the other hand, elderly participants with higher ∆CIMT were more likely to die or less likely to participate in the follow-up visit. The second hypothesis could indicate a survivorship bias in the present study, which needs to be further investigated by fatal/non-fatal cardiovascular events analysis during the study follow-up.
An inverse association of ∆CIMT with White ethnicity was found for the entire sample without psoriasis. In general, Black people in Brazil have lower educational attainment, lower income, and less access to health services, resulting in a poorer health condition. The inverse association between ∆CIMT and past smoking in the present study could be related to the higher risk of atherosclerosis among smokers, as smoking cessation could have been motivated by previous health problems in a group with an already high CIMT, resulting in a lower increase over the time.
Although the present study found no difference in ∆CIMT after the 8-year follow-up according to psoriasis diagnosis, information about longitudinal changes in participants with and without psoriasis was not found in the literature. Previous cross-sectional studies reported associations between psoriasis and increased CIMT (6,9,36), but this evidence is not consensual (8,10). Some methodological aspects may justify the lack of consensus, such as sample recruitment (dermatology clinics vs population-based) and comparator groups (convenience healthy matched controls, nested case-controls, general sample comparisons).
Besides study methodologies, different characteristics of the participants with psoriasis could compromise convergence of findings, such as the age range, type of treatment, and severity of disease. Martinez-Lopez et al. (37) observed that participants with moderate and severe psoriasis treated with immunobiological drugs (mainly anti-IL-12/23) presented a decrease in CIMT levels after an 8-month follow-up compared to patients treated with systemic drugs (mainly methotrexate). Bańska-Kisiel et al. (38) reported that severity of disease was associated with CIMT even in participants with mild and moderate psoriasis. In our sample, an occupational cohort study with 80% of active workers, most cases were mild because few participants were under treatment (4.9%) and use of immunobiological drugs was not reported in patients with psoriasis although it was reported for other diseases.
Although participants with psoriasis have been found to have a higher risk of atherosclerosis (3,31), the present study observed that ∆CIMT was not different in participants with psoriasis compared with matched participants and with the overall sample. Pezzolo et al. (39) reported a bimodal distribution pattern of psoriasis incidence, with peaks at 35-44 years of age (early-onset) and between 65-74 years of age (late-onset). In this sense, it is possible that ELSA-Brasil participants, most of whom are employed, are less likely to have severe disease, since only 7.5% of the participants in the present study were in the late-onset psoriasis age group (65-74 years) and less than 10% of the participants with psoriasis diagnosis were in this age range (n=14), so this group may be underrepresented in our sample and participants of this age could be more likely to have atherosclerosis than younger participants with psoriasis.
It is important to highlight the limitations of the present study. First, the small sample of participants with psoriasis consisted of mild cases with low frequency of treatment, which precluded the investigation of treatment status affecting the results and disease severity. Second, in a highly mixed sample such as that of ELSA-Brasil, with a high proportion of non-white participants and a proportion of active workers of approximately 80%, could be biased by the “healthy worker bias”, whereas a “survival bias” cannot be excluded either. Third, this study did not analyze the presence and extent of carotid plaques, which may be more representative of atherosclerosis than CIMT (40).
On the other hand, the CIMT assessment followed a strict protocol with image processing performed in a unique reading center by computerized edge-tracking with multiframe method to ensure correct IMT measurements. In addition, the eight-year follow-up, the statistical analysis adjusted by potential confounding factors, and the comparison group with four controls per case paired by sex, age, educational attainment, and private health insurance could be considered strengths of this study. Since the association of psoriasis with subclinical cardiovascular disease is still controversial, with both positive and negative results, the present longitudinal investigation provides novel information about a highly mixed sample on the breadth of literature.
In conclusion, CIMT was significantly increased after eight-years of follow-up in both participants with and without psoriasis. The baseline and follow-up CIMT values, as well as ∆CIMT did not differ according to psoriasis diagnosis in the ELSA-Brasil cohort study. The determinants of the inverse association between ∆CIMT and age, diabetes, and hypertension in this cohort needs to be further investigated to clarify the hypothesis raised by this study of survival bias and high access to medical treatment. Other studies analyzing ∆CIMT in different populations are also needed to compare these findings. A longer-term follow-up through future waves of data collection from ELSA-Brasil should provide more robust evidence and well-detectable CIMT changes in participants with psoriasis.
Acknowledgments
The authors thank the Fundação de Amparo è Pesquisa do Estado de São Paulo (FAPESP) for funding the project (process 2019/23734-6) and the post-doctoral scholarships of W.R. Tebar (process number 2021/04416-3) and V. Meneghini (process number 2021/06798-0).
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