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Lazzaroni MG, Wilson M, Hensor E, Distler JHW, Cuomo G, Siegert E, Müller-Ladner U, Allanore Y, Salvador MJ, Anic B, Walker U, Czirják L, Ribi C, Tanaseanu CM, Gabrielli A, Hoffmann-Vold AM, Distler O, Del Galdo F. POS0893 FACTORS TO CONSIDER FOR MEASURING THE EFFECT OF LUNG FUNCTION ON PATIENT REPORTED OUTCOMES IN SYSTEMIC SCLEROSIS PATIENTS: ANALYSIS OF THE EUSTAR DATABASE. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundPatient Reported Outcomes (PROs) are central to measure how patients feel and function especially when determining the effect of disease modifying agents. In patients with Systemic Sclerosis associated Interstitial Lung Disease (SSc-ILD), dyspnea is the main driver of HAQ decline but the effect of reduced lung function on both generic and specific measures of functional impairment is not well defined, and there are many potential confounding biases that could distort the apparent extent and direction of this relationship. Moreover, collider biases potentially induced by selection into the cohort and in clinical trials can also play a role.ObjectivesTo define within the EUSTAR database, the correlation of Forced Vital Capacity (FVC) and functional impairment PROs and identify potential confounders to be considered in casual inference studies.MethodsA cross-sectional analysis included for each patient with SSc-ILD (by X-ray and/or HRCT) in the EUSTAR registry the last visit with at least one PRO (Health Assessment Questionnaire Disability Index [HAQ-DI], Cochin hand function scale [CHFS] and/or dyspnoea visual analogue scale [VAS]) and % predicted FVC (%pFVC), if available. Patients with LVEF≤50% or pulmonary arterial hypertension at RHC were excluded. SSc-ILD with restricted lung volume was defined as %pFVC≤70 [1]. Spearman’s correlation analysis was performed. Results of this analysis and literature review were integrated to design a directed acyclic graph (DAG) and identify the appropriate confounder adjustment set for the total causal effect of FVC on functional impairment PROs.ResultsAmong 17.338 SSc patients in the EUSTAR registry (extracted in November 2019), 727 SSc-ILD patients fulfilled the inclusion criteria (median %pFVC 90 (IQR 74-104), median %pDLCO 60 (IQR 47-52)). Patients with %pFVC<70 (n=149), as compared to those with %pFVC≥70 (n=578) had worse HAQ-DI, CHFS and VAS-dyspnoea scores (Table 1). In unadjusted analysis, %pFVC showed a weak correlation with HAQ-DI (r=-0.21) and CHFS (r=-0.17), but a stronger correlation with VAS dyspnoea (r=-0.33).Table 1.Results are reported as number/number available (%) for dichotomic variables, or as median (IQR) (n available) for continuous variables.%pFVC≥70 (n=578)%pFVC<70 (n=149)Age at disease onset (years)60.6 (52.3-69.3) (546)52.5 (45.6-63-7) (137)Disease duration (months)134.4 (77.5-212.2) (546)110.3 (66.3-199.7) (137)Male sex84/578 (14.5)32/149 (21.5)Anti-Scl70+231/468 (40.7)81/122 (66.4)Smoker ever52/389 (13.4)17/107 (15.9)Caucasian ethnicity545/569 (95.8)131/145 (90.3)dcSSc167/559 (29.9)74/147 (50.3)Oesophageal symptoms319/571 (55.9)93/147 (63.3)Muscle weakness78/565 (13.8)37/149 (24.8)CRP elevation141/540 (26.1)53/134 (39.6)Elevated sPAP (ECHO)45/456 (9.9)21/121 (17.2)Pericardial effusion2/448 (0.4)4/110 (3.6)Diastolic function abnormality151/431 (35.0)31/102 (30.4)Conduction blocks78/480 (16.3)35/120 (29.2)%pDLCO62 (52-74) (527)42 (35-53) (118)CHFS7 (1-23) (493)16 (2-34.8) (114)HAQ-DI0.63 (0.13-1.13) (578)1.25 (0.38-2) (139)VAS dyspnoea (0-100)15 (10-45) (391)40 (20-70) (109)NYHA stage 3/447/561 (8.4)37/143 (25.9)Subsequently, we created a DAG showing the proposed causal pathway considered relevant to the relationship between FVC and HAQ (Figure 1).ConclusionLung function as measured by FVC appears to correlate with worse patient-reported function in our unadjusted analysis of the large multicentre EUSTAR dataset. However, to estimate the total causal effect we must consider a multitude of potentially confounding factors, which need to be integrated and analysed in a causal inference framework. The proposed DAG will inform the development of simulations of the potential impact of bias (confounding, collider and omitted variable) on effect estimates we could obtain from EUSTAR cohort.References[1]Goh NS, et al. Am J Respir Crit Care Med, 2008.Disclosure of InterestsMaria Grazia Lazzaroni Grant/research support from: Research grant from Boehringer-Ingelheim, Michelle Wilson Grant/research support from: Research grant from Boehringer-Ingelheim, Elizabeth Hensor: None declared, Jörg H.W. Distler: None declared, Giovanna Cuomo: None declared, Elise Siegert: None declared, Ulf Müller-Ladner: None declared, Yannick Allanore: None declared, Maria Joao Salvador: None declared, Branimir Anic: None declared, Ulrich Walker: None declared, László Czirják: None declared, Camillo Ribi: None declared, Cristina-Mihaela Tanaseanu: None declared, Armando Gabrielli: None declared, Anna-Maria Hoffmann-Vold: None declared, Oliver Distler: None declared, Francesco Del Galdo: None declared
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Avouac J, Walker U, Tyndall A, Kahan A, Matucci-Cerinic M, Allanore Y, Miniati I, Muller A, Iannone F, Distler O, Becvar R, Sierakowsky S, Kowal-Bielecka O, Coelho P, Cabane J, Cutolo M, Shoenfeld Y, Valentini G, Rovensky J, Riemekasten G, Vlachoyiannopoulos P, Caporali R, Jiri S, Inanc M, Zimmermann Gorska I, Carreira P, Novak S, Czirjak L, Oliveira Ramos F, Jendro M, Chizzolini C, Kucharz EJ, Richter J, Cozzi F, Rozman B, Mallia CM, Gabrielli A, Farge D, Kiener HP, Schöffel D, Airo P, Wollheim F, Martinovic D, Trotta F, Jablonska S, Reich K, Bombardieri S, Siakka P, Pellerito R, Bambara LM, Morovic-Vergles J, Denton C, Hinrichs R, Van den Hoogen F, Damjanov N, Kötter I, Ortiz V, Heitmann S, Krasowska D, Seidel M, Hasler P, Van Laar JM, Kaltwasser JP, Foeldvari I, Juan Mas A, Bajocchi G, Wislowska M, Pereira Da Silva JA, Jacobsen S, Worm M, Graniger W, Kuhn A, Stankovic A, Cossutta R, Majdan M, Damjanovska Rajcevska L, Tikly M, Nasonov EL, Steinbrink K, Herrick A, Müller-Ladner U, Dinc A, Scorza R, Sondergaard K, Indiveri F, Nielsen H, Szekanecz Z, Silver RM, Antivalle M, Espinosa IB, García de la Pena Lefebvre P, Midtvedt O, Launay D, Valesini F, Tuvik P, Ionescu RM, Del Papa N, Pinto S, Wigley F, Mihai C, Sinziana Capranu M, Sunderkötter C, Jun JB, Alhasani S, Distler JH, Ton E, Soukup T, Seibold J, Zeni S, Nash P, Mouthon L, De Keyser F, Duruöz MT, Cantatore FP, Strauss G, von Mülhen CA, Pozzi MR, Eyerich K, Szechinski J, Keiserman M, Houssiau FA, Román-Ivorra JA, Krummel-Lorenz B, Aringer M, Westhovens R, Bellisai F, Mayer M, Stoeckl F, Uprus M, Volpe A, Buslau M, Yavuz S, Granel B, Valderílio Feijó A, Del Galdo F, Popa S, Zenone T, Ricardo Machado X, Pileckyte M, Stebbings S, Mathieu A, Tulli A, Tourinho T, Souza R, Acayaba de Toledo R, Stamp L, Solanki K, Veale D, Francisco Marques Neto J, Bagnato GF, Loyo E, Toloza S, Li M, Ahmed Abdel Atty Mohamed W, Cobankara V, Olas J, Salsano F, Oksel F, Tanaseanu CM, Foti R, Ancuta C, Vonk M, Caramashi P, Beretta L, Balbir A, Chiàla A, Pasalic Simic K, Ghio M, Stamenkovic B, Rednic S, Host N, Pellerito R, Hachulla E, Furst DE. Characteristics of joint involvement and relationships with systemic inflammation in systemic sclerosis: results from the EULAR Scleroderma Trial and Research Group (EUSTAR) database. J Rheumatol 2010. [PMID: 20551097 DOI: 10.3899/jrheum.091165.] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To determine the prevalence of and independent factors associated with joint involvement in a large population of patients with systemic sclerosis (SSc). METHODS This study was cross-sectional, based on data collected on patients included in the European League Against Rheumatism (EULAR) Scleroderma Trials and Research (EUSTAR) registry. We queried this database to extract data regarding global evaluation of patients with SSc and the presence of any clinical articular involvement: synovitis (tender and swollen joints), tendon friction rubs (rubbing sensation detected as the tendon was moved), and joint contracture (stiffness of the joints that decreased their range of motion). Overall joint involvement was defined by the occurrence of synovitis and/or joint contracture and/or tendon friction rubs. RESULTS We recruited 7286 patients with SSc; their mean age was 56 +/- 14 years, disease duration 10 +/- 9 years, and 4210 (58%) had a limited cutaneous disease subset. Frequencies of synovitis, tendon friction rubs, and joint contractures were 16%, 11%, and 31%, respectively. Synovitis, tendon friction rubs, and joint contracture were more prevalent in patients with the diffuse cutaneous subset and were associated together and with severe vascular, muscular, renal, and interstitial lung involvement. Moreover, synovitis had the highest strength of association with elevated acute-phase reactants taken as the dependent variable. CONCLUSION Our results highlight the striking level of articular involvement in SSc, as evaluated by systematic examination in a large cohort of patients with SSc. Our data also show that synovitis, joint contracture, and tendon friction rubs are associated with a more severe disease and with systemic inflammation.
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Affiliation(s)
- Jerome Avouac
- Service de Rhumatologie A, Hôpital Cochin, Université Paris Descartes, 75014 Paris, France
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