Comparison of Behavioral Risk Factors and Cardiometabolic Comorbidities of Psoriatic Arthritis and Psoriasis: A Case-Control Study in Chinese Patients

Ther Clin Risk Manag. 2021 May 3:17:397-404. doi: 10.2147/TCRM.S307102. eCollection 2021.

Abstract

Purpose: Comparison of risk factors and comorbidities could help indicate the underlying mechanisms of diseases. This study aimed to compare behavioral factors and cardiometabolic comorbidities of PsA/psoriasis versus healthy controls to implicate the similarities and differences in potential pathogenic mechanisms for further research.

Patients and methods: A case-control study in Chinese patients with PsA or psoriasis and healthy controls was conducted. Clinical information based on patient-reported and measured outcomes were collected. Multivariable logistic regression was used to investigate the associations, in terms of adjusted odds ratios (AORs).

Results: We randomly selected 171 patients with PsA, 342 with psoriasis, and 1026 healthy controls from our database, matching by age and sex. Dyslipidemia (AOR=4.62 for PsA and 2.97 for psoriasis) and alcohol drinking (AOR=3.20 for PsA and 3.62 for psoriasis) were significantly associated with both diseases. Overweight was inversely associated with both PsA (AOR=0.46, P=0.002) and psoriasis (AOR=0.56, P=0.001), while obesity was associated with PsA (AOR=2.02, P=0.025) but not psoriasis (AOR=0.87, P=0.621). Subgroup analysis by onset age of psoriatic lesions showed that former smoking was significantly associated with early-onset psoriasis (AOR=2.44, P=0.016) but not PsA (AOR=0.59, P=0.329). Laboratory test indicated that both PsA and psoriasis were associated with altered lipid profile.

Conclusion: PsA and psoriasis in Chinese patients share common behavioral and cardiometabolic risk factors including dyslipidemia and alcohol consumption. There is a U-shape association between BMI and PsA/psoriasis.

Keywords: alcohol; comorbidities; obesity; psoriasis; psoriatic arthritis; smoking.

Grants and funding

This work was supported by the key project of the National Science Foundation (81430075, 81830096), National Natural Science Foundation of China (81573049, 81974479, 81773329), Key R & D Program of Hunan Province (2018SK2082), National key R & D program (2016YFC0900802, 2018YFC0117004, 2016YFC0901705).