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Biedroń G, Wilk M, Nowakowski J, Kuszmiersz P, Guła Z, Strach M, Brkic A, Haugeberg G, Korkosz M. Impact of comorbidities on patient-reported outcomes in psoriatic arthritis: a single centre cohort study. Rheumatol Int 2024; 44:1435-1443. [PMID: 38914774 PMCID: PMC11222239 DOI: 10.1007/s00296-024-05632-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 05/28/2024] [Indexed: 06/26/2024]
Abstract
BACKGROUND Comorbidities are frequent in psoriatic arthritis (PsA) and may contribute to worse health-related outcomes. Patient-reported outcomes (PROs) are used to evaluate the burden of the assessed disease. The aim of this study is to evaluate the impact of comorbidities on selected PROs in PsA. METHODS Adult patients, diagnosed with PsA, based on CASPAR criteria, were included in this cross-sectional, observational study. Collected data encompassed the comorbidities and PROs (Health Assessment Questionnaire [HAQ], Multi-Dimensional Health Assessment Questionnaire [MDHAQ], 36-Item Short Form Health Survey [SF-36]). Standard statistic methods were performed for data assessment. RESULTS There were 267 participants included in the study (54.7% females). The most prevalent comorbidities were cardiovascular diseases (CVD) (29.2 %). Multimorbidity was observed in 50.2% cases and was associated with poorer results of SF-36 questionnaire, regarding bodily pain (34.7 [30.1, 39.3] vs. 47.5 [43.1, 52.0]; p<0.01), physical functioning (52.1 [47.3, 56.9] vs. 63.1 [58.9, 67.4]; p<0.01) and role physical (28.5 [21.2, 35.9] vs. 42.8 [35.2, 50.4]; p<0.01). CVD were associated with poorer MDHAQFn score (β=0.17, p<0.01), while mental disorders negatively influenced mental health (β= -0.35, p<0.01), vitality (β= -0.22, p<0.01), general health (β= -0.19, p<0.01), social functioning (β= -0.15, p=0.04) and role emotional (β= -0.30, p<0.01) dimensions of SF-36. CONCLUSIONS Multimorbidity exerts significant impact on physical aspects of quality of life (QoL) in PsA. CVD and mental disorders adversely influence functional capacity as well as mental and social dimensions of QoL, respectively. The impact of comorbidities should be taken into account by clinicians and researchers assessing PROs.
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Affiliation(s)
- Grzegorz Biedroń
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Kraków, Poland.
- Department of Rheumatology, Clinical Immunology and Internal Medicine, University Hospital in Cracow, Kraków, Poland.
| | - Mateusz Wilk
- Department of Rheumatology, Clinical Immunology and Internal Medicine, University Hospital in Cracow, Kraków, Poland
| | - Jarosław Nowakowski
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Kraków, Poland
- Department of Rheumatology, Clinical Immunology and Internal Medicine, University Hospital in Cracow, Kraków, Poland
| | - Piotr Kuszmiersz
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Kraków, Poland
- Department of Rheumatology, Clinical Immunology and Internal Medicine, University Hospital in Cracow, Kraków, Poland
| | - Zofia Guła
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Kraków, Poland
- Department of Rheumatology, Clinical Immunology and Internal Medicine, University Hospital in Cracow, Kraków, Poland
| | - Magdalena Strach
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Kraków, Poland
- Department of Rheumatology, Clinical Immunology and Internal Medicine, University Hospital in Cracow, Kraków, Poland
| | - Alen Brkic
- Division of Rheumatology, Department of Internal Medicine, Sørlandet Hospital, Kristiansand, Norway
| | - Glenn Haugeberg
- Division of Rheumatology, Department of Internal Medicine, Sørlandet Hospital, Kristiansand, Norway
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Mariusz Korkosz
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Kraków, Poland
- Department of Rheumatology, Clinical Immunology and Internal Medicine, University Hospital in Cracow, Kraków, Poland
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Kang H, Wu M, Feng J, Ren Y, Liu Y, Shi W, Peng Y, Tan Y, Wu R, Zhang G, He Y. Ocular surface disorders affect quality of life in patients with autoimmune blistering skin diseases: a cross-sectional study. BMC Ophthalmol 2022; 22:437. [PMID: 36376805 PMCID: PMC9664680 DOI: 10.1186/s12886-022-02663-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 10/31/2022] [Indexed: 11/16/2022] Open
Abstract
Background Autoimmune blistering skin diseases (AIBD) are a group of rare chronic autoimmune diseases which are associated with ocular surface diseases especially dry eye disease. This study is designed to investigate the relationship between ocular surface disorders and quality of life among patients with autoimmune blistering skin diseases. Methods Twenty-four AIBD patients (18 pemphigus and 7 pemphigoid) and twenty-five non-AIBD controls were included. Ocular surface disease index (OSDI), ocular surface evaluation, including slit-lamp examination, Schirmer I test, tear break-up time, corneal fluorescein staining, lid-parallel conjunctival folds, meibomian gland evaluation, presence of symblepharon and corneal opacity were assessed. Life quality was evaluated by multiple questionnaires, including Medical Outcomes Study 36-Item Short Form Questionnaire (SF-36), Hospital Anxiety and Depression Scale (HADS), Pittsburgh Sleep Quality Index (PSQI) and Health Assessment Questionnaire-Disability Index (HAQ-DI). Ocular surface tests and quality of life were compared between AIBD patients and non-AIBD controls. In the AIBD patients, the associations between ocular surface parameters and quality of life were also evaluated. Results 92% of AIBD patients and 87.5% of age- and sex-matched non-AIBD controls were diagnosed with dry eye in this study. Compared with non-AIBD controls, AIBD patients reported lower SF-36 scores (P < 0.05) and severer OSDI, Schirmer I test, tear break-up time, corneal fluorescein staining, presence of symblepharon and corneal opacity measures (P < 0.05). OSDI, Schirmer I test were correlated with SF-36 composite scores or scores on the SF-36 subscales. Conclusions AIBD patients experience reduced quality of life and more severe ocular surface disorders including dry eye, symblepharon and corneal opacity. Early treatments of dry eye and collaborations among multidisciplinary physicians are necessary in patients with AIBD.
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Maxwell LJ, Beaton DE, Boers M, D'Agostino MA, Conaghan PG, Grosskleg S, Shea BJ, Bingham Iii CO, Boonen A, Christensen R, Choy E, Doria AS, Hill CL, Hofstetter C, Kroon FP, Leung YY, Mackie S, Meara A, Touma Z, Tugwell P, Wells GA. The evolution of instrument selection for inclusion in core outcome sets at OMERACT: Filter 2.2. Semin Arthritis Rheum 2021; 51:1320-1330. [PMID: 34544617 DOI: 10.1016/j.semarthrit.2021.08.011] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/18/2021] [Accepted: 08/18/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION OMERACT uses an evidence-based framework known as the 'OMERACT Filter Instrument Selection Algorithm' (OFISA) to guide decisions in the assessment of outcome measurement instruments for inclusion in a core outcome set for interventional and observational clinical trials. METHODS A group of OMERACT imaging and patient-centered outcome methodologists worked with imaging outcome groups to facilitate the selection of imaging outcome measurement instruments using the OFISA approach. The lessons learned from this work influenced the evolution to Filter 2.2 and necessitated changes to OMERACT's documentation and processes. RESULTS OMERACT has revised documentation and processes to incorporate the evolution of instrument selection to Filter 2.2. These revisions include creation of a template for detailed definitions of the target domain which is a necessary first step for instrument selection, modifications to the Summary of Measurement Properties (SOMP) table to account for sources of variability, and development of standardized reporting tables for each measurement property. CONCLUSIONS OMERACT Filter 2.2 represents additional modifications of the OMERACT guide for working groups in their rigorous assessment of measurement properties of instruments of various types, including imaging outcome measurement instruments. Enhanced reporting aims to increase the transparency of the evidence base leading to judgements for the endorsement of instruments in core outcome sets.
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Affiliation(s)
- Lara J Maxwell
- Faculty of Medicine, University of Ottawa, Ottawa, Canada.
| | - Dorcas E Beaton
- Institute for Work & Health and Institute for Health Policy Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
| | - Maarten Boers
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Amsterdam Rheumatology and Immunology Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maria Antonietta D'Agostino
- Università Cattolica del Sacro Cuore, Rome, Italy; Rheumatology UOC, IRCSS, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy; Inserm U1173, Infection et inflammation, Laboratory of Excellence INFLAMEX, Université Paris-Saclay UVSQ, Montigny-le-Bretonneux, France
| | - Philip G Conaghan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, and NIHR Leeds Biomedical Research Centre, UK
| | | | - Beverley J Shea
- Ottawa Hospital Research Institute, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Clifton O Bingham Iii
- Division of Rheumatology, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Annelies Boonen
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center, The Netherlands; Care and Public Health Research Institute (CAPHRI), Maastricht University, The Netherlands
| | - Robin Christensen
- Section for Biostatistics and Evidence-Based Research, the Parker Institute, Bispebjerg Frederiksberg Hospital, Copenhagen, Denmark; Research Unit of Rheumatology, Department of Clinical Research, University of Southern Denmark, Odense University Hospital, Denmark
| | - Ernest Choy
- CREATE Centre and Section of Rheumatology, Division of Infection and Immunity, Cardiff University, Cardiff, UK
| | - Andrea S Doria
- The Hospital for Sick Children, Medical Imaging Department, University of Toronto, Toronto, Canada
| | - Catherine L Hill
- Rheumatology Unit, The Queen Elizabeth Hospital, Woodville, Australia; Discipline of Medicine, University of Adelaide, Adelaide, Australia
| | | | - Féline Pb Kroon
- Department of Rheumatology, Zuyderland Medical Center, Heerlen, The Netherlands; Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ying Ying Leung
- Department of Rheumatology & Immunology, Singapore General Hospital; Duke-NUS Medical School, Singapore
| | - Sarah Mackie
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK; NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Alexa Meara
- Division of Rheumatology and Immunology, Ohio State University, Wexner Medical Centre, Columbus, Ohio, United States
| | - Zahi Touma
- Division of Rheumatology, Department of Medicine and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Peter Tugwell
- Division of Rheumatology, Department of Medicine, School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - George A Wells
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada; Department of Medicine, University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Ottawa, Canada
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OMERACT Filter 2.1 Instrument Selection for Physical Function Domain in Psoriatic Arthritis: Provisional Endorsement for HAQ-DI and SF-36 PF. Semin Arthritis Rheum 2021; 51:1117-1124. [PMID: 34392975 PMCID: PMC8453108 DOI: 10.1016/j.semarthrit.2021.07.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 06/04/2021] [Accepted: 07/07/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVES Physical function is one of the core domains to be measured in all trials in psoriatic arthritis (PsA). We aimed to evaluate two instruments for physical function in PsA: The Health Assessment Questionnaire-disability index (HAQ-DI) and the physical functioning subscale of the Medical Outcome Survey Short-Form 36 items (SF-36 PF). METHODS We followed guidelines set out by the OMERACT Filter 2.1. A working group was formed to evaluate each instrument for domain match and feasibility to reach consensus. Two systematic literature reviews (SLRs) were conducted to identify the relevant articles supporting measurement properties of both instruments. Five additional measurement properties were appraised: construct validity, test-retest reliability, longitudinal construct validity, clinical trial discrimination, and threshold of meaning. New evidence was synthesized to fill the gap. Data were presented to the OMERACT technical advisory group (TAG) and the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) community for endorsement. RESULTS The results for seven measurement properties for HAQ-DI and SF-36 PF were presented in Summary of Measurement Property (SOMP) tables. The working group proposed "Provisional Endorsement" for both instruments. The body of evidence was approved by the OMERACT TAG. In two Delphi exercises among GRAPPA members, HAQ-DI received 93.9% and 97.5% endorsement votes, while that for SF-36 PF were 86.7% and 77.3%. CONCLUSION Both HAQ-DI and SF-36 PF were provisionally endorsed for the measurement of physical function in PsA trials, using the OMERACT Filter 2.1.
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