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1.
J Rheumatol ; 49(8): 903-907, 2022 08.
Article in English | MEDLINE | ID: mdl-35649549

ABSTRACT

OBJECTIVE: People with systemic sclerosis (SSc) often report substantial burden from appearance changes. We aimed to estimate the patient acceptable symptom state (PASS) for burden from appearance changes in people with SSc. METHODS: We conducted a secondary analysis of the SCISCIF II study, a cross-sectional survey of 113 patients with SSc from France enrolled in the Scleroderma Patient-centered Intervention Network Cohort. Burden from appearance changes was assessed with a self-administered numeric rating scale (0, no burden to 10, maximal burden). Acceptability of the symptom state was assessed with a specific anchoring question. Participants who answered yes were in the group of patients who considered their symptom state as acceptable. The PASS for the burden from appearance changes was estimated with the 75th percentile method. RESULTS: Assessments of burden from appearance changes and answers to the anchoring question were available in 82/113 (73%) participants from the SCISCIF II study. Median age was 55 (IQR 24) years, mean disease duration 9.6 (SD 6.5) years and 32/80 (40%) participants had diffuse cutaneous SSc. The PASS estimate for the burden from appearance changes was 4.8 (95% CI 1.0-7.0) of 10 points. CONCLUSION: Our study provides a PASS estimate for burden from appearance changes. Our estimate could serve as a binary response criterion to assess the efficacy of treatments targeting burden from appearance changes.


Subject(s)
Scleroderma, Diffuse , Scleroderma, Systemic , Cohort Studies , Cross-Sectional Studies , Humans , Middle Aged , Research Design
2.
Ann Phys Rehabil Med ; 63(3): 189-194, 2020 May.
Article in English | MEDLINE | ID: mdl-31421275

ABSTRACT

BACKGROUND: Individuals with chronic low back pain (cLBP) may benefit from multimodal functional restoration programs (FRPs). OBJECTIVE: The aim of this study was to analyze characteristics of individuals with cLBP who were referred or not to an FRP. Because cLBP is a bio-psycho-social disorder, medical and social parameters were analysed. METHODS: This was an observational cross-sectional study performed in 2017 in 6 tertiary centres in France. Consecutive individuals with cLBP visiting a rheumatologist or physical medicine and rehabilitation physician were included. Individuals referred or not to an FRP were compared by demographic characteristics, duration of sick leave over the past year, self-reported physical activity>1h/week, pain (numeric rating scale 0-10), anxiety/depression (Hospital Anxiety and Depression Scale), disability (Oswestry Disability Index) and kinesiophobia (Tampa Kinesiophobia Scale). Univariate and multivariate logistic regression analyses were performed, estimating odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: We included 147 individuals with cLBP. The mean (SD) age was 49 (12) years and 88 (60%) were women; 58 (38%) were referred to an FRP. On multivariate analysis, referral to an FRP was associated with reduced pain level (OR: 0.95, 95% CI: 0.91-0.99, for each 1-point increase in pain score), self-reported lack of physical activity (OR: 0.84, 95% CI: 0.72-0.98) and longer sick leave (OR: 1.03, 95% CI: 1.01-1.05, for 30 more days of sick leave). CONCLUSION: In this multicentric observational study, referral to an FRP was linked to pain, self-reported physical activity and sick leave but not medical characteristics assessed. These findings confirm the bio-psycho-social approach of FRPs for cLBP.


Subject(s)
Chronic Pain/rehabilitation , Low Back Pain/rehabilitation , Patient Selection , Practice Patterns, Physicians'/statistics & numerical data , Referral and Consultation/statistics & numerical data , Adult , Anxiety/etiology , Chronic Pain/psychology , Combined Modality Therapy , Cross-Sectional Studies , Depression/etiology , Exercise/psychology , Female , France , Humans , Logistic Models , Low Back Pain/psychology , Male , Middle Aged , Multivariate Analysis , Pain Measurement , Self Report , Sick Leave/statistics & numerical data
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