Linking gout-specific patient-reported outcome measurement and lifestyle habits in patients with gout: results from the ULTRA registry

Author:

Do Hyunsue1,Choi Hyo Jin2,Choi Byoongyong3,Son Chang-Nam4,Kim Sang-Hyon5,Ha You-Jung6,Kim Ji Hyoun7,Kim Min Jung8,Shin Kichul8,Kim Hyun-Ok9,Song Ran10,Lee Sung Won11,Ahn Joong Kyong12,Lee Seung-Geun13,Lee Chang Hoon14,Son Kyeong Min15,Moon Ki Won1

Affiliation:

1. Kangwon National University School of Medicine

2. Gachon University College of Medicine

3. Seoul Metropolitan Seoul Medical Center

4. Eulji University School of Medicine

5. Keimyung University School of Medicine

6. Seoul National University Bundang Hospital

7. Chungbuk National University Hospital

8. Seoul Metropolitan Government-Seoul National University Boramae Medical Center

9. Gyeongsang National University School of Medicine

10. Kyung Hee University

11. Soon Chun Hyang University Cheonan Hospital

12. Sungkyunkwan University School of Medicine

13. Pusan National University School of Medicine, Pusan National University Hospital

14. Wonkwang University School of Medicine

15. Hallym University Dongtan Sacred Heart Hospital

Abstract

Abstract Background: The Gout Impact Scale (GIS), a part of the Gout Assessment Questionnaire 2.0, is a gout-specific patient-reported outcome measurement to assess health-related quality of life (HRQOL) of patients with gout. We aimed to investigate the correlation between GIS and lifestyle habits in Korean patients with gout. Methods: We utilized the data from the aftermath of Urate Lowering TheRApy in gout (ULTRA) registry, a prospective cohort of Korean patients with gout treated in multiple centers nationwide since September 2021. Subjects were 18 years or older and met the 2015 ACR/EULAR gout classification criteria. They were asked to fill out the GIS questionnaire and questions regarding lifestyle habits on enrolment. Results: The study included 232 patients. The mean (standard deviation) age was 55.1 (17.7) years, and 90.5% of patients were men. The ‘gout concern overall’ score in the GIS was significantly lower in patients who exercised less frequently and consumed soft drinks and meat, and the ‘well-being during attack’ score was significantly lower in patients who consumed vegetables and exercised more frequently. The frequency of vegetable consumption had a negative linear relationship with the ‘well-being during attack’ and ‘gout concern during attack’ scores (P=0.01, P=0.001, respectively). The frequency of exercise had a negative linear relationship with the ‘gout concern overall’ and ‘gout concern during attack’ scores (P=0.04, P=0.002, respectively). Conclusion: The GIS was highly useful in identifying favorable lifestyle habits for Korean patients with gout. Patients who frequently consumed vegetables and exercised were associated with a better HRQOL.

Publisher

Research Square Platform LLC

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