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

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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Autores principales: Wojeck, Robyn K., Knisely, Mitchell R., Bailey, Donald E., Somers, Tamara J., Kwakkenbos, Linda, Carrier, Marie-Eve, Nielson, Warren R., Bartlett, Susan J., Malcarne, Vanessa L., Hudson, Marie, Levis, Brooke, Benedetti, Andrea, Mouthon, Luc, Thombs, Brett D., Silva, Susan G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393558/
https://www.ncbi.nlm.nih.gov/pubmed/37533421
http://dx.doi.org/10.1016/j.eclinm.2023.102104
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author Wojeck, Robyn K.
Knisely, Mitchell R.
Bailey, Donald E.
Somers, Tamara J.
Kwakkenbos, Linda
Carrier, Marie-Eve
Nielson, Warren R.
Bartlett, Susan J.
Malcarne, Vanessa L.
Hudson, Marie
Levis, Brooke
Benedetti, Andrea
Mouthon, Luc
Thombs, Brett D.
Silva, Susan G.
author_facet Wojeck, Robyn K.
Knisely, Mitchell R.
Bailey, Donald E.
Somers, Tamara J.
Kwakkenbos, Linda
Carrier, Marie-Eve
Nielson, Warren R.
Bartlett, Susan J.
Malcarne, Vanessa L.
Hudson, Marie
Levis, Brooke
Benedetti, Andrea
Mouthon, Luc
Thombs, Brett D.
Silva, Susan G.
author_sort Wojeck, Robyn K.
collection PubMed
description 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: 10.13039/100000056National Institute of Nursing Research (F31NR019007), 10.13039/501100000024Canadian Institutes of Health Research, 10.13039/501100000142Arthritis Society Canada, the 10.13039/501100013455Lady Davis Institute for Medical Research, the 10.13039/501100020986Jewish General Hospital Foundation, 10.13039/100008582McGill University, 10.13039/501100019175Scleroderma Society of Ontario, Scleroderma Canada, Sclérodermie Québec, Scleroderma Manitoba, 10.13039/501100023335Scleroderma Atlantic, 10.13039/501100023446Scleroderma Association of BC, Scleroderma SASK, Scleroderma Australia, Scleroderma New South Wales, 10.13039/501100023332Scleroderma Victoria, and Scleroderma Queensland.
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spelling pubmed-103935582023-08-02 Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study Wojeck, Robyn K. Knisely, Mitchell R. Bailey, Donald E. Somers, Tamara J. Kwakkenbos, Linda Carrier, Marie-Eve Nielson, Warren R. Bartlett, Susan J. Malcarne, Vanessa L. Hudson, Marie Levis, Brooke Benedetti, Andrea Mouthon, Luc Thombs, Brett D. Silva, Susan G. eClinicalMedicine Articles 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: 10.13039/100000056National Institute of Nursing Research (F31NR019007), 10.13039/501100000024Canadian Institutes of Health Research, 10.13039/501100000142Arthritis Society Canada, the 10.13039/501100013455Lady Davis Institute for Medical Research, the 10.13039/501100020986Jewish General Hospital Foundation, 10.13039/100008582McGill University, 10.13039/501100019175Scleroderma Society of Ontario, Scleroderma Canada, Sclérodermie Québec, Scleroderma Manitoba, 10.13039/501100023335Scleroderma Atlantic, 10.13039/501100023446Scleroderma Association of BC, Scleroderma SASK, Scleroderma Australia, Scleroderma New South Wales, 10.13039/501100023332Scleroderma Victoria, and Scleroderma Queensland. Elsevier 2023-07-20 /pmc/articles/PMC10393558/ /pubmed/37533421 http://dx.doi.org/10.1016/j.eclinm.2023.102104 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Wojeck, Robyn K.
Knisely, Mitchell R.
Bailey, Donald E.
Somers, Tamara J.
Kwakkenbos, Linda
Carrier, Marie-Eve
Nielson, Warren R.
Bartlett, Susan J.
Malcarne, Vanessa L.
Hudson, Marie
Levis, Brooke
Benedetti, Andrea
Mouthon, Luc
Thombs, Brett D.
Silva, Susan G.
Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study
title Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study
title_full Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study
title_fullStr Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study
title_full_unstemmed Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study
title_short Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study
title_sort patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma patient-centered intervention network (spin) cohort cross-sectional study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393558/
https://www.ncbi.nlm.nih.gov/pubmed/37533421
http://dx.doi.org/10.1016/j.eclinm.2023.102104
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