<p>Psoriatic arthritis (PsA) is associated with various systemic conditions, among which cognitive impairment is significant. This study aims to explore the relationship between PsA and cognitive impairment and identify influencing factors. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). Logistic regression analyses were performed to explore the relationship between PsA and cognitive impairment and to identify factors associated with cognitive impairment. The study included 94 patients with PsA, and 94 age-, and education-matched healthy controls (HCs). The prevalence of cognitive impairment was significantly higher in patients with PsA compared to the HCs (41.5% vs. 13.8%, <i>P</i> &lt; 0.001). After adjusting, PsA remained a significant association with cognitive impairment (AOR 5.33; 95%CI 2.22–12.80). Further analyses revealed that age (AOR 1.06; 95%CI 1.01–1.12), high school education (AOR 9.05; 95%CI 1.62–50.71; ref: college and higher education), elementary school and lower education (AOR 22.46; 95%CI 4.90-103.03; ref: college and higher education) and sleep disturbances (AOR 6.90; 95%CI 1.97–24.13) were independently associated with cognitive impairment in PsA patients. The risk of cognitive impairment in PsA patients is significantly higher than in HCs. Age, education level, and sleep quality are crucial factors influencing cognitive impairment in PsA patients. This study underscores the importance of monitoring cognitive function in PsA patients and provides a basis for future intervention strategies.</p>

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Factors associated with cognitive impairment in psoriatic arthritis: a case-control study

  • Wenyu Deng,
  • Minjia Tan,
  • Guo Zhou,
  • Mi Zhang,
  • Junchen Chen,
  • Yehong Kuang

摘要

Psoriatic arthritis (PsA) is associated with various systemic conditions, among which cognitive impairment is significant. This study aims to explore the relationship between PsA and cognitive impairment and identify influencing factors. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA). Logistic regression analyses were performed to explore the relationship between PsA and cognitive impairment and to identify factors associated with cognitive impairment. The study included 94 patients with PsA, and 94 age-, and education-matched healthy controls (HCs). The prevalence of cognitive impairment was significantly higher in patients with PsA compared to the HCs (41.5% vs. 13.8%, P < 0.001). After adjusting, PsA remained a significant association with cognitive impairment (AOR 5.33; 95%CI 2.22–12.80). Further analyses revealed that age (AOR 1.06; 95%CI 1.01–1.12), high school education (AOR 9.05; 95%CI 1.62–50.71; ref: college and higher education), elementary school and lower education (AOR 22.46; 95%CI 4.90-103.03; ref: college and higher education) and sleep disturbances (AOR 6.90; 95%CI 1.97–24.13) were independently associated with cognitive impairment in PsA patients. The risk of cognitive impairment in PsA patients is significantly higher than in HCs. Age, education level, and sleep quality are crucial factors influencing cognitive impairment in PsA patients. This study underscores the importance of monitoring cognitive function in PsA patients and provides a basis for future intervention strategies.