Kathleen Morrisroe1, Marie Hudson2, Murray Baron2, Jeska de Vries-Bouwstra3, Patricia E Carreira4, Dirk M Wuttge5, Mianbo Wang2, Tracy M Frech6, Wendy Stevens7, Susanna M Proudman8, Mandana Nikpour. 1. Department of Medicine, The University of Melbourne at St Vincent's Hospital; and Department of Rheumatology, St Vincent's Hospital, Melbourne, Australia. 2. Jewish General Hospital, Montreal; and Lady Davis Research Institute, Montreal, Canada. 3. Department of Rheumatology, Leiden University Medical Center (LUMC), the Netherlands. 4. Rheumatology Department, Hospital Universitario 12 de Octubre, Madrid, Spain. 5. Lund University, Skane University Hospital, Department of Clinical Sciences, Rheumatology, Lund, Sweden. 6. Division of Rheumatology, Department of Internal Medicine, University of Utah and Salt Lake Regional Veterans Affair Medical Center, USA. 7. Department of Rheumatology, St Vincent's Hospital, Melbourne, Australia. 8. Rheumatology Unit, Royal Adelaide Hospital, North Terrace, Australia; and Discipline of Medicine, University of Adelaide, Australia.
Abstract
OBJECTIVES: To evaluate health-related quality of life (HRQoL) and its determinants in a systemic sclerosis (SSc) multinational inception cohort. We performed a meta-analysis of data from individual countries, and compared the meta-analysis to individual country results by pooling data from each of the countries. METHODS: SSc patients within 2 years of disease onset were recruited from 5 countries participating in the International Systemic Sclerosis Inception Cohort (INSYNC). Data from each country's database were exported for analysis using a harmonised platform. HRQoL was assessed using the Medical Outcomes Short Form-36 (SF-36). Multivariate linear regression assessed associations between HRQoL and predictors in cohorts separately and meta-analyzed to generate pooled estimates. The analyses were repeated using individual patient data. RESULTS: Of the 637 SSc patients recruited, the majority was female (80.2%-83.3%), aged between 52.4-56.7 years with limited cutaneous disease subtype (48.6%-66.7%). HRQoL scores were lower for SSc patients than the general population (SF-36 physical component summary (PCS) score (36.4-39.6), mental component summary (MCS) score (41.0-46.4)). Determinants of SF-36 PCS by meta-analysis included increasing age (β=-0.1, 95%CI -0.2, -0.01), diffuse cutaneous disease subtype (β=-8.4, 95%CI -10.6, -6.3), and pulmonary arterial hypertension (β=-10.9, 95%CI -16.6, -5.3). Increasing age (β=0.09, 95%CI 0.0, 0.18) was the only variable associated with SF-36 MCS. Analyses using individual patient data revealed similar results to those of the meta-analysis of cohort data. CONCLUSIONS: Our study provides estimates of HRQoL in a large inception SSc cohort and provides evidence that individual patient data analysis is valid in the INSYNC dataset.
OBJECTIVES: To evaluate health-related quality of life (HRQoL) and its determinants in a systemic sclerosis (SSc) multinational inception cohort. We performed a meta-analysis of data from individual countries, and compared the meta-analysis to individual country results by pooling data from each of the countries. METHODS: SSc patients within 2 years of disease onset were recruited from 5 countries participating in the International Systemic Sclerosis Inception Cohort (INSYNC). Data from each country's database were exported for analysis using a harmonised platform. HRQoL was assessed using the Medical Outcomes Short Form-36 (SF-36). Multivariate linear regression assessed associations between HRQoL and predictors in cohorts separately and meta-analyzed to generate pooled estimates. The analyses were repeated using individual patient data. RESULTS: Of the 637 SSc patients recruited, the majority was female (80.2%-83.3%), aged between 52.4-56.7 years with limited cutaneous disease subtype (48.6%-66.7%). HRQoL scores were lower for SSc patients than the general population (SF-36 physical component summary (PCS) score (36.4-39.6), mental component summary (MCS) score (41.0-46.4)). Determinants of SF-36 PCS by meta-analysis included increasing age (β=-0.1, 95%CI -0.2, -0.01), diffuse cutaneous disease subtype (β=-8.4, 95%CI -10.6, -6.3), and pulmonary arterial hypertension (β=-10.9, 95%CI -16.6, -5.3). Increasing age (β=0.09, 95%CI 0.0, 0.18) was the only variable associated with SF-36 MCS. Analyses using individual patient data revealed similar results to those of the meta-analysis of cohort data. CONCLUSIONS: Our study provides estimates of HRQoL in a large inception SSc cohort and provides evidence that individual patient data analysis is valid in the INSYNC dataset.
Authors: Victoria K Shanmugam; Tracy M Frech; Virginia D Steen; Laura K Hummers; Ami A Shah; Elana J Bernstein; Dinesh Khanna; Jessica K Gordon; Flavia V Castelino; Lorinda Chung; Faye N Hant; Emily Startup; John M VanBuren; Luke B Evnin; Shervin Assassi Journal: Clin Rheumatol Date: 2019-10-30 Impact factor: 2.980
Authors: Karima Becetti; Joseph T Nguyen; Linda Kwakkenbos; Marie-Eve Carrier; Lydia Tao; Jessica K Gordon; Carol A Mancuso; Joep Welling; Luc Mouthon; Susan J Bartlett; Vanessa L Malcarne; Brett D Thombs; Robert F Spiera Journal: ACR Open Rheumatol Date: 2022-05-23