Comorbidity profiles of psoriasis in Taiwan: A latent class analysis

Chen Yi Wu*, Hsiao Yun Hu, Chung Pin Li, Yiing Jeng Chou, Yun Ting Chang

*此作品的通信作者

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)

摘要

Background Psoriasis is associated with many comorbidities. An understanding of these comorbidity patterns can help foster better care of patients with psoriasis. Objective To identify the heterogeneity of psoriasis comorbidities using latent class analysis (LCA). Methods LCA was used to empirically identify psoriasis comorbidity patterns in a nationwide sample of 110,729 incident cases of psoriasis (2002–2012) from the National Health Insurance database in Taiwan. Results The mean age of incident psoriasis was 46.1 years. Hypertension (28.8%), dyslipidemia (18.9%), and chronic liver disease/cirrhosis/hepatitis (18.1%) were the top three comorbidities in patients with psoriasis. LCA identified four distinct comorbidity classes among these patients, including 9.9% of patients in the “multi-comorbidity” class, 17.9% in the “metabolic syndrome” class, 11.3% in the “hypertension and chronic obstructive pulmonary disease (COPD)” class, and 60.9% in the “relatively healthy” class. Psoriatic arthritis was evenly distributed among each class. Relative to membership in the “relative healthy” class, an increase of one year of age had a higher probability of membership in the “multi-comorbidity” (odds ratio [OR], 1.25), “metabolic syndrome” (OR, 1.11), or “hypertension and COPD” (OR, 1.34) classes. Relative to membership in the “relative healthy” class, compared to women, men had a higher probability of membership in the “multi-comorbidity” (OR, 1.39), “metabolic syndrome” (OR, 1.77), or “hypertension and COPD” (OR, 1.22) classes. Conclusion We observed four distinct classes of psoriasis comorbidities, including the “multi-comorbidity”, “metabolic syndrome”, “hypertension and COPD”, and “relatively healthy” classes, as well as the clustering of liver diseases with metabolic syndrome and clustering of COPD with hypertension.

原文English
文章編號e0192537
期刊PLoS ONE
13
發行號2
DOIs
出版狀態Published - 2月 2018

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