| Literature DB >> 29207002 |
Sébastien Peytrignet1, Christopher P Denton2, Mark Lunt1, Roger Hesselstrand3, Luc Mouthon4, Alan Silman5, Xiaoyan Pan1, Edith Brown1, László Czirják6, Jörg H W Distler7, Oliver Distler8, Kim Fligelstone2, William J Gregory9, Rachel Ochiel2, Madelon Vonk10, Codrina Ancuta11, Voon H Ong2, Dominique Farge12, Marie Hudson13,14, Marco Matucci-Cerinic15, Alexandra Balbir-Gurman16, Øyvind Midtvedt17, Alison C Jordan18, Wendy Stevens19, Pia Moinzadeh20, Frances C Hall21, Christian Agard22, Marina E Anderson23, Elisabeth Diot24, Rajan Madhok25, Mohammed Akil26, Maya H Buch27,28, Lorinda Chung29, Nemanja Damjanov30, Harsha Gunawardena31, Peter Lanyon32,33, Yasmeen Ahmad34, Kuntal Chakravarty35, Søren Jacobsen36, Alexander J MacGregor37, Neil McHugh38, Ulf Müller-Ladner39, Gabriela Riemekasten40, Michael Becker41, Janet Roddy42, Patricia E Carreira43, Anne Laure Fauchais44, Eric Hachulla45, Jennifer Hamilton46, Murat Inanç47, John S McLaren48, Jacob M van Laar49, Sanjay Pathare50, Susanna Proudman51,52, Anna Rudin53, Joanne Sahhar54, Brigitte Coppere55, Christine Serratrice56, Tom Sheeran57, Douglas J Veale58, Claire Grange59, Georges-Selim Trad60, Ariane L Herrick1,61,62.
Abstract
Objectives: Our aim was to describe the burden of early dcSSc in terms of disability, fatigue and pain in the European Scleroderma Observational Study cohort, and to explore associated clinical features.Entities:
Keywords: disability; early diffuse cutaneous systemic sclerosis; fatigue; hand function; pain
Mesh:
Year: 2018 PMID: 29207002 PMCID: PMC5850714 DOI: 10.1093/rheumatology/kex410
Source DB: PubMed Journal: Rheumatology (Oxford) ISSN: 1462-0324 Impact factor: 7.580
Baseline associates of disability indicators
| HAQ-DI(0–3), | CHFS(0–90), | FACIT fatigue(0–52), | SF36 physical index (0–100), | SF36 mental index(0–100), | sHAQ Pain VAS(0–100), | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall indicator median (IQR) | 1.0 (0.4–1.8) | 11.0 (3.0–29.0) | 31.0 (20.0–41.0) | 37.4 (29.9–45.0) | 38.3 (34.3–44) | 29.0 (8.7–52.7) | ||||||
| Binary variables | Yes | No | Yes | No | Yes | No | Yes | No | Yes | No | Yes | No |
| Female | 1.0 (0.4–1.9) | 0.8 (0.4–1.4) | 12.0 (3.0–29.0) | 9.0 (3.0–19.0) | 30.7 (19.0–41.0) | 32.5 (24.5–41.5) | 37.1 (29.3–44.7) | 37.7 (31.7– 45.4) | 37.3 (33.2–44.0)* | 39.8 (35.9–44.4)* | 30.0 (9.3–53.3) | 27.7 (4.7–49.0) |
| Current or previous steroid use | 1.3 (0.5–2.0)*** | 0.9 (0.4–1.5)*** | 16.0 (5.0– 34.0)*** | 8.0 (2.0–22.0)*** | 27.5 (17.2–38.5)*** | 34.0 (24.0–42.0)*** | 35.6 (28.2–41.8)*** | 38.6 (32.0– 45.8)*** | 39.1 (34.4–44.4) | 37.8 (34.3–43.5) | 35.0 (10.7–59.0)** | 24.7 (6.0–46.7)** |
| Previous use of immunosuppressants | 0.9 (0.5–2.0) | 1.0 (0.4–1.6) | 10.0 (3.0–22.0) | 11.0 (3.0–29.0) | 35.0 (24.0–38.0) | 31.0 (20.0–41.0) | 37.9 (29.2–43.0) | 37.3 (30.4–45.0) | 36.6 (34.3–42.5) | 38.5 (34.3–44.0) | 24.3 (5.7–48.0) | 29.2 (8.8–54.0) |
| Current digital ulcers | 1.5 (0.6–2.3)*** | 0.9 (0.4–1.6)*** | 18.5 (3.5–43.5)** | 10.0 (3.0–26.0)** | 27.0 (20.0–37.5)* | 32.3 (20.0–42.0)* | 36.0 (28.5–41.8) | 37.5 (30.8–45.1) | 37.6 (32.7–43.2) | 38.5 (34.4–44.2) | 37.0 (6.3–63.7) | 27.3 (9.0–50.3) |
| Pulmonary fibrosis | 1.5 (0.8–2.1)*** | 0.9 (0.4–1.6)*** | 23.5 (11.0–40.0)** | 10.0 (3.0–26.0)** | 21.5 (14.0–30.5)**** | 33.0 (22.0–42.0)**** | 31.8 (24.9–38.9)*** | 37.8 (31.0–45.1)*** | 37.9 (33.9–42.3) | 38.3 (34.3–44.1) | 44.0 (21.0–67.3)** | 26.7 (6.7–50.7)** |
| Pulmonary hypertension | 1.4 (0.7–2.2)* | 0.9 (0.4–1.6)* | 13.0 (1.0–21.0) | 11.0 (3.0–29.0) | 22.5 (15.5–31.0)*** | 32.5 (21.0–42.0)*** | 31.4 (24.2–42.4)* | 37.5 (30.7–45.0)* | 38.8 (33.6–43.9) | 38.2 (34.3–44.0) | 30.0 (4.5–69.0) | 29.0 (8.8–51.0) |
| Renal involvement | 1.2 (0.6–2.1) | 1.0 (0.4–1.6) | 18.0 (4.0–33.0) | 11.0 (3.0–26.0) | 23.5 (17.0–34.0)** | 32.0 (21.0–42.0)** | 35.9 (24.5–45.7) | 37.4 (30.7–44.7) | 35.7 (32.0–40.6) | 38.5 (34.4–44.1) | 30.0 (5.0–59.0) | 29.0 (9.0–52) |
| Cardiac involvement | 1.3 (0.9–2.3)*** | 0.9 (0.4–1.7)*** | 11.0 (5.0–39.0) | 11.0 (3.0–27.0) | 23.5 (12.0–34.0)**** | 32.0 (21.0–42.0)**** | 32.0 (24.1–40.2)*** | 37.6 (30.8–45.1)*** | 36.1 (32.7–41.9)* | 38.5 (34.4–44.2)* | 45.2 (16.3–59.3)* | 27.7 (7.3–51.7)* |
| Muscle involvement | 1.9 (1.0–2.3)*** | 0.9 (0.4–1.6)*** | 16.0 (5.0–55.0) | 10.0 (3.0–26.0) | 25.5 (16.0–38.0)* | 32.0 (21.0–42.0)* | 31.5 (25.5–39.2)*** | 37.6 (30.8–45.1)*** | 38.6 (32.4–45.0) | 38.3 (34.4–43.9) | 40.7 (5.7–64.7) | 28.3 (8.7–51.0) |
| Anti-topoisomerase, anti-ScL70 | 0.9 (0.4–1.7) | 1.0 (0.5–1.8) | 11.0 (3.0–26.0) | 10.0 (3.0–29.0) | 30.3 (19.0–41.0) | 32.0 (22.0–42.0) | 37.4 (29.7–44.5) | 37.4 (31.0–45.1) | 38.5 (34.3–43.7) | 38.1 (34.4–44.0) | 31.0 (10.7–58.7)* | 25.3 (3.7–49.0)* |
| Anti-RNA polymerase III | 1.0 (0.6–1.6) | 0.9 (0.4–1.7) | 10.5 (6.0–29.0) | 11.0 (2.0–26.0) | 29.6 (18.0–41.0) | 30.9 (20.5–41.5) | 35.6 (29.6–42.7) | 37.6 (30.6–45.0) | 38.9 (33.5–45.6) | 37.9 (33.6–43.7) | 27.5 (10.5–51.2) | 30.2 (8.7–54.7) |
| Anticentromere | 0.6 (0–1.5)* | 1.0 (0.4–1.8)* | 8.5 (0.0–26.0) | 11.0 (3.0–27.0) | 34.5 (22.0–44.0) | 31.0 (20.0–41.0) | 38.5 (33.0–46) | 37.3 (29.9–44.7) | 37.6 (31.9–45.3) | 38.2 (34.4–44.0) | 36.0 (15.3–47.0) | 27.3 (7.0–53.7) |
| Continuous variables | Spearman's ρ | Spearman's ρ | Spearman's ρ | Spearman's ρ | Spearman's ρ | Spearman's ρ | ||||||
| Age | −0.05 | −0.04 | 0.04 | 0.08 | 0.10* | −0.11* | ||||||
| Months since onset of skin thickening | 0.01 | −0.01 | −0.01 | 0.01 | 0.01 | 0.02 | ||||||
| mRSS, 0–51 | 0.34**** | 0.35**** | −0.20**** | −0.27**** | 0.03 | 0.17*** | ||||||
| mRSS in fingers and hand dorsa, 0–12 | 0.23**** | 0.32**** | −0.13** | −0.20**** | 0.02 | 0.13** | ||||||
| Haemoglobin (g/l) | −0.29**** | −0.18*** | 0.24**** | 0.26**** | 0.03 | −0.14** | ||||||
| White blood count, ×109/l | 0.08 | 0.06 | −0.08 | −0.14** | 0.04 | 0.01 | ||||||
| Platelets, ×109/l | 0.21**** | 0.20*** | −0.08 | −0.21**** | 0 | 0.10* | ||||||
| ESR, mm/h | 0.23**** | 0.22*** | −0.23**** | −0.27**** | 0.07 | 0.16** | ||||||
| CRP, mg/l | 0.34**** | 0.27**** | −0.22**** | −0.34**** | 0.03 | 0.21*** | ||||||
| Plasma creatinine, μmol/l | −0.09 | −0.09 | 0.01 | 0.03 | −0.01 | −0.03 | ||||||
| eGFR, ml/min | 0.01 | 0.04 | 0.02 | −0.02 | −0.04 | 0.06 | ||||||
| FVC, % predicted | −0.20**** | −0.16** | 0.24**** | 0.22**** | −0.06 | −0.09 | ||||||
| DLCO, % predicted | −0.21**** | −0.19*** | 0.22**** | 0.25**** | −0.01 | −0.06 | ||||||
| HAQ-DI, 0–3 | 1 | 0.84**** | −0.67**** | −0.72**** | −0.18**** | 0.57**** | ||||||
| CHFS, 0–90 | 0.84**** | 1 | −0.63**** | −0.61**** | −0.19*** | 0.59**** | ||||||
| FACIT fatigue score, 0–52 | −0.67**** | −0.63**** | 1 | 0.67**** | 0.29**** | −0.52**** | ||||||
| SF36 physical component, 0–100 | −0.72**** | −0.61**** | 0.67**** | 1 | −0.02 | −0.61**** | ||||||
| SF36 mental component, 0–100 | −0.18**** | −0.19*** | 0.29**** | −0.02 | 1 | −0.12** | ||||||
| sHAQ overall, 0–100 | 0.59**** | 0.55**** | −0.59**** | −0.58**** | −0.17*** | 0.62**** | ||||||
| sHAQ pain, 0–100 | 0.57**** | 0.59**** | −0.52**** | −0.61**** | −0.12** | 1 | ||||||
| sHAQ Raynaud's phenomenon, 0–100 | 0.37**** | 0.43**** | −0.41**** | −0.36**** | −0.16*** | 0.54**** | ||||||
| sHAQ finger ulcers, 0–100 | 0.26**** | 0.29**** | −0.23**** | −0.30**** | −0.04 | 0.39**** | ||||||
| sHAQ intestinal problems, 0–100 | 0.36**** | 0.37**** | −0.45**** | −0.40**** | −0.18*** | 0.49**** | ||||||
| sHAQ breathing problems, 0–100 | 0.36**** | 0.33**** | −0.43**** | −0.45**** | −0.06 | 0.43**** | ||||||
Index medians (IQR) across levels of binary variables and correlations with continuous variables. For binary variables, P-values from the Kruskal–Wallis test, comparing distribution of disability indicator between levels of each binary variable. For continuous variables, P-values for the correlation (ρ) significance. *P < 0.10, **P < 0.05, ***P < 0.01, ****P < 1.385 × 10−3 (Šidák significance threshold, adjusted for multiple testing for α = 0.05 and 37 tests). Each pair of variables in the table above used the subset of patients available, according to data availability. The number of patients having data for each disability index was equal to or higher than 93.9% except for the pairs involving the following variables: anti-RNA polymerase III, ESR, CRP, plasma creatinine, eGFR and DLCO. For those variables, the coverage rates did not go below 71.8%. DLCO: carbon monoxide diffusing capacity; eGFR: estimated glomerular filtration rate; FVC: forced vital capacity; HAQ-DI: Health Assessment Questionnaire disability index; mRSS: modified Rodnan skin score (17 sites); sHAQ: Scleroderma Health Assessment Questionnaire; CHFS: Cochin Hand Function Scale; SF36: Short Form 36 Health Survey; FACIT: Functional Assessment of Chronic Illness Therapy.
. 1Baseline distribution of disability indicators
CHFS: Cochin Hand Function Scale; FACIT: Functional Assessment of Chronic Illness Therapy; HAQ-DI: HAQ disability index; MCS: mental component summary; PCS: physical component summary; SF36: Short Form 36 Health Survey; sHAQ: Scleroderma HAQ.
. 2Composition of disability indicators at baseline
For each questionnaire item, the distribution of answers is displayed based on the number of respondents for each individual question. CHFS: Cochin Hand Function Scale; FACIT: Functional Assessment of Chronic Illness Therapy; HAQ-DI: HAQ disability index.
. 3Associates of HAQ disability index
For the relation between HAQ-DI and binary variables (here current digital ulcers and pulmonary fibrosis), box plots (with median and interquartile ranges) summarize the distribution of the index within each level of the binary variable. In addition, a strip plot shown next to each box plot gives more detail on the dispersion of all individual points. For the relation between HAQ-DI and continuous variables (here mRSS, CHFS and sHAQ Pain VAS), a scatter plot is shown for each pair and superimposed with a linear regression line to describe the correlation direction. CHFS: Cochin Hand Function Scale; mRSS: modified Rodnan skin score; sHAQ: Scleroderma HAQ.
. 4Associates of Cochin hand function scale
For the relation between CHFS and binary variables (here current digital ulcers and pulmonary fibrosis), box plots (with median and interquartile ranges) summarize the distribution of the index within each level of the binary variable. In addition, a strip plot shown next to each box plot gives more detail on the dispersion of all individual points. For the relation between CHFS and continuous variables (here mRSS and sHAQ Pain VAS), a scatter plot is shown for each pair and superimposed with a linear regression line to describe the correlation direction. CHFS: Cochin Hand Function Scale; mRSS: modified Rodnan skin score; sHAQ: Scleroderma HAQ.
. 5Co-movements of skin score and disability indicators in first 12 months
These four scatter plots describe the 12 month changes in mRSS (overall and in fingers and hand dorsum) with respect to the change in HAQ-DI and CHFS. In each axis, the symbol Δ denotes change. A regression line shows in each case the marginal effect of a 1 unit increase in the skin score, equal to the regression coefficient (β), shown here alongside its significance P-value. CHFS: Cochin Hand Function Scale; HAQ-DI: HAQ disability index; mRSS: modified Rodnan skin score.