Alexandre Sepriano1, Sofia Ramiro2, Désirée van der Heijde3, Maxime Dougados4, Pascal Claudepierre5, Antoine Feydy6, Monique Reijnierse7, Damien Loeuille8, Robert Landewé9. 1. Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands; NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal. Electronic address: alexsepriano@gmail.com. 2. Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands; Zuyderland Medical Center, Heerlen, the Netherlands. 3. Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands. Electronic address: mail@dvanderheijde.nl. 4. Paris Descartes University, France; Department of Rheumatology, Clinical epidemiology and biostatistics, Hôpital Cochin. Assistance Publique - Hôpitaux de Paris, INSERM (U1153), PRES Sorbonne Paris-Cité. PARIS 14, France. Electronic address: maxime.dougados@aphp.fr. 5. Department of Rheumatology, Hôpital Henri-Mondor, Assistance Publique-Hôpitaux de Paris Créteil, France. Electronic address: pascal.claudepierre@aphp.fr. 6. Radiology B Department, Cochin Hôpital Paris Descartes University Paris, France. Electronic address: antoine.feydy@aphp.fr. 7. Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: m.reijnierse@lumc.nl. 8. Department of Rheumatology, Hôpital Brabois, Nancy, France. Electronic address: d.loeuille@chru-nancy.fr. 9. Zuyderland Medical Center, Heerlen, the Netherlands; Amsterdam University Medical Center (ARC), Amsterdam, the Netherlands. Electronic address: landewe@rlandewe.nl.
Abstract
OBJECTIVE: To assess if an integrated longitudinal analysis using all available imaging data affects the precision of estimates of change in patients with axial spondyloarthritis (axSpA), with completers analysis as reference standard. METHODS: Patients from the DESIR cohort fulfilling the ASAS axSpA criteria were included. Radiographs and MRIs of the sacroiliac joints and spine were obtained at baseline, 1, 2 and 5 years. Each image was scored by 2 or 3 readers in 3 'reading-waves' (or campaigns). Each outcome was analyzed: i. According to a 'combination algorithm' (e.g. '2 out of 3' for binary scores); and ii. Per reader. Change over time was analyzed with generalized estimating equations by 3 approaches: (a)'integrated-analysis' (all patients with ≥1 score from ≥1 reader from all waves); (b1)Completers-only analysis (patients with 5-year follow-up, using scores from individual readers); (b2)Completers analysis using a 'combination algorithm' (as (b1) but with combined scores). Approaches (b1) and (b2) were considered the 'reference'. RESULTS: In total, 413 patients were included. The 'integrated analysis' was more inclusive with similar levels of precision of the change estimates as compared to both completers analyses. In fact, for low-incident outcomes (e.g.% mNY-positive over 5-years), an increased incidence was 'captured', with more precision, by the 'integrated analysis' compared to the completers analysis with combined scores (% change/year (95%CI): 1.1 (0.7; 1.5) vs 1.2 (0.5; 1.8), respectively). CONCLUSION: An efficient and entirely assumption-free 'integrated analysis' does not jeopardize precision of the estimates of change in imaging parameters and may yield increased statistical power for detecting changes with low incidence.
OBJECTIVE: To assess if an integrated longitudinal analysis using all available imaging data affects the precision of estimates of change in patients with axial spondyloarthritis (axSpA), with completers analysis as reference standard. METHODS:Patients from the DESIR cohort fulfilling the ASAS axSpA criteria were included. Radiographs and MRIs of the sacroiliac joints and spine were obtained at baseline, 1, 2 and 5 years. Each image was scored by 2 or 3 readers in 3 'reading-waves' (or campaigns). Each outcome was analyzed: i. According to a 'combination algorithm' (e.g. '2 out of 3' for binary scores); and ii. Per reader. Change over time was analyzed with generalized estimating equations by 3 approaches: (a)'integrated-analysis' (all patients with ≥1 score from ≥1 reader from all waves); (b1)Completers-only analysis (patients with 5-year follow-up, using scores from individual readers); (b2)Completers analysis using a 'combination algorithm' (as (b1) but with combined scores). Approaches (b1) and (b2) were considered the 'reference'. RESULTS: In total, 413 patients were included. The 'integrated analysis' was more inclusive with similar levels of precision of the change estimates as compared to both completers analyses. In fact, for low-incident outcomes (e.g.% mNY-positive over 5-years), an increased incidence was 'captured', with more precision, by the 'integrated analysis' compared to the completers analysis with combined scores (% change/year (95%CI): 1.1 (0.7; 1.5) vs 1.2 (0.5; 1.8), respectively). CONCLUSION: An efficient and entirely assumption-free 'integrated analysis' does not jeopardize precision of the estimates of change in imaging parameters and may yield increased statistical power for detecting changes with low incidence.
Authors: Alexandre Sepriano; Sofia Ramiro; Désirée van der Heijde; Maxime Dougados; Pascal Claudepierre; Antoine Feydy; Monique Reijnierse; Damien Loeuille; Robert Landewé Journal: Arthritis Care Res (Hoboken) Date: 2022-01-10 Impact factor: 5.178