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Published on: March 1, 2024
The Number of Traditional Cardiovascular Risk Factors Is Independently Correlated with Disease Activity in Patients
Iván Ferraz-Amaro1, Diana Prieto-Peña2, Natalia Palmou-Fontana2
1Division of Rheumatology, Hospital Universitario de Canarias, 38320 Tenerife, Spain.
Insights
Psoriatic arthritis patients with more cardiovascular risk factors show higher disease activity. This finding is independent of disease duration and demographics, highlighting a link between PsA and cardiovascular health.
Area of Science:
- Rheumatology
- Cardiovascular Medicine
- Public Health
Background:
- Psoriatic arthritis (PsA) is linked to increased cardiovascular (CV) disease risk, including atherosclerosis, metabolic syndrome, hypertension, dyslipidemia, and diabetes.
- Understanding the relationship between CV risk factors and PsA disease characteristics is crucial for comprehensive patient management.
Purpose of the Study:
- To investigate the correlation between the number of traditional cardiovascular risk factors and disease-related data in psoriatic arthritis patients.
- To determine if the number of CV risk factors is independently associated with disease activity in PsA.
Main Methods:
- A cross-sectional study involving 305 patients meeting the CASPAR criteria for PsA.
- Assessment included lipid profile, disease activity measures (DAPSA), and the presence of six CV risk factors (diabetes, dyslipidemia, hypertension, obesity, CKD, smoking).
- Multivariable regression analysis adjusted for age, sex, and disease duration was employed.
Main Results:
- Patients with a higher number of CV risk factors had a significantly longer disease duration, even after adjusting for age and sex.
- Disease Activity in PSoriatic Arthritis (DAPSA) score was independently higher in patients with an increased number of CV risk factors.
- Increasing DAPSA scores correlated with a higher likelihood of having one or more CV risk factors (OR 1.12-1.15).
Conclusions:
- PsA patients with multiple cardiovascular risk factors exhibit significantly higher disease activity.
- This association is independent of disease duration and demographic factors, underscoring the importance of managing CV risk in PsA.
Abstract:
Background and objectives: Psoriatic arthritis (PsA) is associated with several comorbidities, including among others an increased risk of cardiovascular (CV) disease, atherosclerosis, metabolic syndrome, hypertension dyslipidemia, and diabetes. The purpose of the present study was to determine how the number of CV risk factors correlates with disease related data such as disease activity. Materials and Methods: Cross-sectional study that encompassed 305 patients who fulfilled the CASPAR criteria for PsA were assessed for lipid profile, disease activity measurements, and the presence of six traditional CV risk factors (diabetes mellitus, dyslipidemia, hypertension, obesity, chronic kidney disease, and smoking status). A multivariable regression analysis, adjusted for age, sex, and disease duration, was performed to evaluate if the number of classic CV risk factors was independently related with specific features of the disease, including disease activity. Results: Disease duration was found to be higher, after adjustment for age and sex, in patients with 1 or 2, and 3 or higher CV factors, compared to those patients without CV risk factors. Similarly, DAPSA (Disease Activity in PSoriatic Arthritis score) was found to be independently upregulated in patients with a higher number of CV risk factors. In this sense, as DAPSA score increases the odds ratio (OR) of having 1 or 2 (OR 1.12 (95% confidence interval (CI) 1.03-1.21), p = 0.010), and 3 or higher (OR 1.15 (95% CI 1.04-1.26), p = 0.004) CV factors was significantly higher compared to no CV risk factors category. This was independently found after adjustment for age, sex, and disease duration. Conclusions: PsA patients with a higher number of CV risk factors exhibit an upregulated disease activity compared to those without them. This is independent of disease duration and other demographics factors.
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