Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional studyResearch in context

Background: Systemic sclerosis is a heterogenous disease in which little is known about patterns of patient-reported symptom clusters. We aimed to identify classes of individuals with similar anxiety, depression, fatigue, sleep disturbance, and pain symptoms and to evaluate associated sociodemograph...

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Published inEClinicalMedicine Vol. 62; p. 102104
Main Authors Robyn K. Wojeck, Mitchell R. Knisely, Donald E. Bailey, Tamara J. Somers, Linda Kwakkenbos, Marie-Eve Carrier, Warren R. Nielson, Susan J. Bartlett, Vanessa L. Malcarne, Marie Hudson, Brooke Levis, Andrea Benedetti, Luc Mouthon, Brett D. Thombs, Susan G. Silva, Claire E. Adams, Richard S. Henry, Catherine Fortuné, Karen Gottesman, Geneviève Guillot, Laura K. Hummers, Amanda Lawrie-Jones, Maureen D. Mayes, Michelle Richard, Maureen Sauvé, Shervin Assassi, Ghassan El-Baalbaki, Kim Fligelstone, Tracy Frech, Amy Gietzen, Daphna Harel, Sindhu R. Johnson, Catarina Leite, Christelle Nguyen, Karen Nielsen, Janet Pope, François Rannou, Tatiana Sofia Rodriguez-Reyna, Anne A. Schouffoer, Maria E. Suarez-Almazor, Christian Agard, Marc André, Elana J. Bernstein, Sabine Berthier, Lyne Bissonnette, Alessandra Bruns, Patricia Carreira, Marion Casadevall, Benjamin Chaigne, Lorinda Chung, Benjamin Crichi, Christopher Denton, Robyn Domsic, James V. Dunne, Bertrand Dunogue, Regina Fare, Dominique Farge-Bancel, Paul R. Fortin, Jessica Gordon, Brigitte Granel-Rey, Aurélien Guffroy, Genevieve Gyger, Eric Hachulla, Sabrina Hoa, Alena Ikic, Suzanne Kafaja, Nader Khalidi, Kimberly Lakin, Marc Lambert, Yvonne C. Lee, Hélène Maillard, Joanne Manning, Isabelle Marie, Maria Martin Lopez, Thierry Martin, François Maurier, Arsene Mekinian, Sheila Melchor Díaz, Mandana Nikpour, Louis Olagne, Vincent Poindron, Susanna Proudman, Alexis Régent, Sébastien Rivière, David Robinson, Sophie Roux, Perrine Smets, Vincent Sobanski, Robert Spiera, Virginia Steen, Evelyn Sutton, Carter Thorne, John Varga, Pearce Wilcox, Vanessa Cook, Sophie Hu, Elsa-Lynn Nassar, Marieke Alexandra Neyer, Julia Nordlund, Sabrina Provencher
Format Journal Article
LanguageEnglish
Published Elsevier 01.08.2023
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Summary:Background: Systemic sclerosis is a heterogenous disease in which little is known about patterns of patient-reported symptom clusters. We aimed to identify classes of individuals with similar anxiety, depression, fatigue, sleep disturbance, and pain symptoms and to evaluate associated sociodemographic and disease-related characteristics. Methods: This multi-centre cross-sectional study used baseline data from Scleroderma Patient-centered Intervention Network Cohort participants enrolled from 2014 to 2020. Eligible participants completed the PROMIS-29 v2.0 measure. Latent profile analysis was used to identify homogeneous classes of participants based on patterns of anxiety, depression, fatigue, sleep disturbance, and pain scores. Sociodemographic and disease-related characteristics were compared across classes. Findings: Among 2212 participants, we identified five classes, including four classes with “Low” (565 participants, 26%), “Normal” (651 participants, 29%), “High” (569 participants, 26%), or “Very High” (193 participants, 9%) symptom levels across all symptoms. Participants in a fifth class, “High Fatigue/Sleep/Pain and Low Anxiety/Depression” (234 participants, 11%) had similar levels of fatigue, sleep disturbance, and pain as in the “High” class but low anxiety and depression symptoms. There were significant and substantive trends in sociodemographic characteristics (age, education, race or ethnicity, marital or partner status) and increasing disease severity (diffuse disease, tendon friction rubs, joint contractures, gastrointestinal symptoms) across severity-based classes. Disease severity and sociodemographic characteristics of “High Fatigue/Sleep/Pain and Low Anxiety/Depression” class participants were similar to the “High” severity class. Interpretation: Most people with systemic sclerosis can be classified by levels of patient-reported symptoms, which are consistent across symptoms and highly associated with sociodemographic and disease-related variables, except for one group which reports low mental health symptoms despite high levels of other symptoms and substantial disease burden. Studies are needed to better understand resilience in systemic sclerosis and to identify and facilitate implementation of cognitive and behavioural strategies to improve coping and overall quality of life. Funding: National Institute of Nursing Research (F31NR019007), Canadian Institutes of Health Research, Arthritis Society Canada, the Lady Davis Institute for Medical Research, the Jewish General Hospital Foundation, McGill University, Scleroderma Society of Ontario, Scleroderma Canada, Sclérodermie Québec, Scleroderma Manitoba, Scleroderma Atlantic, Scleroderma Association of BC, Scleroderma SASK, Scleroderma Australia, Scleroderma New South Wales, Scleroderma Victoria, and Scleroderma Queensland.
ISSN:2589-5370
2589-5370