Clin Rheumatol. 2022 Nov 12. doi: 10.1007/s10067-022-06432-4. Online ahead of print.
ABSTRACT
OBJECTIVES: Aim of this study is to clarify associations between metrics of patient’s clinical status statistically using retrospective cohort data.
METHODS: Patients with RA who were followed up more than 3 years were recruited. Their EuroQol-5th dimension (EQ5D) as an index of quality of life (QOL), Health Assessment Questionnaire Disability Index (HAQ) as an index of functional capacity (FC), simplified disease activity index (SDAI), pain score using visual analog scale (PS-VAS), and fatigue score using visual analog scale (FS-VAS) were monitored every three months. Sharp/van der Heijde score (SHS) was calculated annually. Associations between average values of these factors at beginning of follow-up (baseline) and change from baseline to final year in follow-up (change), and patient’s sex, age, and disease duration (DD) were evaluated statistically.
RESULTS: A total of 447 patients were analyzed. EQ5D score correlated significantly with HAQ score both at baseline and change of that, and FS-VAS. HAQ score correlated significantly with EQ5D and HAQ score at baseline. SDAI score correlated significantly with SHS and FS-VAS at baseline. SHS correlated significantly with the SHS at baseline. PS-VAS correlated significantly with the PS-VAS, EQ5D at baseline, change of theEQ5D and HAQ scores. FS-VAS correlated significantly with change of the EQ5D score and FS-VAS at baseline.
CONCLUSIONS: These results suggested that these clinical metrics are influenced by each variable at baseline. QOL and fatigue are correlated each other, as well as QOL and FC, whereas disease activity correlated with joint deformity level and fatigue. Key Points • It is questionable whether improvement of disease activity leads to improvements in functional capacity and QOL in treating rheumatoid arthritis. • We evaluated the association among metrics of clinical outcomes, such as EQ5D, HAQ, SDAI, SHS, pain score, and fatigue score using retrospective cohort data. • Results suggested that metrics are influenced by each items at baseline, and QOL and fatigue are correlated each other, as well as QOL and functional capacity.
PMID:36371481 | DOI:10.1007/s10067-022-06432-4
