Health-related Quality of Life in Gout in Primary Care: Baseline Findings From a Cohort Study

aut.relation.journalSeminars in Arthritis and Rheumatismen_NZ
aut.researcherRome, Keith
dc.contributor.authorChandratre, Pen_NZ
dc.contributor.authorMallen, Cen_NZ
dc.contributor.authorRichardson, Jen_NZ
dc.contributor.authorMuller, Sen_NZ
dc.contributor.authorRome, Ken_NZ
dc.contributor.authorBlagojevic-Bucknall, Men_NZ
dc.contributor.authorRoddy, Een_NZ
dc.date.accessioned2018-01-09T22:01:01Z
dc.date.available2018-01-09T22:01:01Z
dc.date.copyright2018-01-09en_NZ
dc.date.issued2018-01-09en_NZ
dc.description.abstractObjectives To examine gout-related, comorbid and sociodemographic characteristics associated with generic and disease-specific Health-Related Quality Of Life (HRQOL) in gout. Methods Adults with gout from 20 general practices were mailed a questionnaire containing the Health Assessment Questionnaire-Disability Index (HAQ-DI), Short-Form-36 Physical Function subscale (PF-10), Gout Impact Scale (GIS), and questions about gout-specific, comorbid and sociodemographic characteristics. Variables associated with HRQOL were examined using multivariable linear regression models. Results 1184 completed questionnaires were received (response 65.9%). Worse generic and gout-specific HRQOL was associated with frequent gout attacks (≥5 attacks PF-10 β=−4.90, HAQ-DI β=0.14, GIS subscales β=8.94 to 33.26), current attack (HAQ-DI β=0.15, GIS β=−1.94 to 18.89), oligo/polyarticular attacks (HAQ-DI β=0.11, GIS β=0.78 to 7.86), body pain (PF-10 β=−10.68, HAQ-DI β=0.29, GIS β=2.61 to 11.89), anxiety (PF-10 β=−1.81, HAQ-DI β=0.06, GIS β=0.38 to 1.70), depression (PF-10 β=−1.98, HAQ-DI β=0.06, GIS 0.42 to 1.47) and alcohol non-consumption (PF-10 β=−16.10, HAQ-DI β=0.45, GIS β=4.94). Gout-specific HRQOL was better in Caucasians than non-Caucasians (GIS β=−13.05,−13.48). Poorer generic HRQOL was associated with diabetes mellitus (PF-10 β=−4.33, HAQ-DI β=0.14), stroke (PF-10 β=−12.21, HAQ-DI β=0.37), renal failure (PF-10 β=−9.43, HAQ-DI β=0.21), myocardial infarction (HAQ-DI β=0.17), female gender (PF-10 β=−17.26, HAQ-DI β=0.43), deprivation (PF-10 β=−7.80, HAQ-DI β=0.19), and body mass index≥35 kg/m2 (PF-10 β=−6.10, HAQ-DI β=0.21). Conclusions HRQOL in gout is impaired by gout-specific, comorbid, and sociodemographic characteristics, highlighting the importance of comorbidity screening and early urate-lowering therapy. Both gout-specific and generic questionnaires identify the impact of disease-specific features on HRQOL but studies focusing on comorbidity should include generic instruments.
dc.identifier.doi10.1016/j.semarthrit.2017.12.005
dc.identifier.issn0049-0172en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/11061
dc.publisherElsevieren_NZ
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0049017217306054
dc.rightsCopyright © 2018 Elsevier Ltd. All rights reserved. This is the author’s version of a work that was accepted for publication in (see Citation). Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The definitive version was published in (see Citation). The original publication is available at (see Publisher's Version).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectGout; Health Related Quality of Life; Primary care; Comorbidity
dc.titleHealth-related Quality of Life in Gout in Primary Care: Baseline Findings From a Cohort Studyen_NZ
dc.typeJournal Article
pubs.elements-id323080
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Clinical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HH Clinical Sciences 2018 PBRF
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