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1.
Arthritis Rheumatol ; 70(3): 462-467, 2018 03.
Article in English | MEDLINE | ID: mdl-29161469

ABSTRACT

OBJECTIVE: To perform external validation of a provisional definition of disease flare in patients with gout. METHODS: Five hundred nine patients with gout were enrolled in a cross-sectional study during a routine clinical care visit at 17 international sites. Data were collected to classify patients as experiencing or not experiencing a gout flare, according to a provisional definition. A local expert rheumatologist performed the final independent adjudication of gout flare status. Sensitivity, specificity, predictive values, and receiver operating characteristic (ROC) curves were used to determine the diagnostic performance of gout flare definitions. RESULTS: The mean ± SD age of the patients was 57.5 ± 13.9 years, and 89% were male. The definition requiring fulfillment of at least 3 of 4 criteria (patient-defined gout flare, pain at rest score of >3 on a 0-10-point numerical rating scale, presence of at least 1 swollen joint, and presence of at least 1 warm joint) was 85% sensitive and 95% specific in confirming the presence of a gout flare, with an accuracy of 92%. The ROC area under the curve was 0.97. The definition based on a classification and regression tree algorithm (entry point, pain at rest score >3, followed by patient-defined flare "yes") was 73% sensitive and 96% specific. CONCLUSION: The definition of gout flare that requires fulfillment of at least 3 of 4 patient-reported criteria is now validated to be sensitive, specific, and accurate for gout flares, as demonstrated using an independent large international patient sample. The availability of a validated gout flare definition will improve the ascertainment of an important clinical outcome in studies of gout.


Subject(s)
Gout/diagnosis , Severity of Illness Index , Adult , Aged , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Sensitivity and Specificity
2.
Clin Rheumatol ; 37(8): 2261-2268, 2018 Aug.
Article in English | MEDLINE | ID: mdl-28730270

ABSTRACT

The objective of this study was to understand the patient experience of musculoskeletal imaging tests for investigation of inflammatory arthritis and factors that contribute to this experience. We conducted a thematic analysis of semi-structured interviews with 33 patients who had a recent peripheral joint musculoskeletal imaging test for investigation of inflammatory arthritis. Data from these interviews were used to generate an 18-item questionnaire which was posted to rheumatology clinic patients within 6 weeks of peripheral joint imaging. Variables associated with the overall experience of the test were analysed using stepwise linear regression. Analysis of the interviews identified six themes: knowledge about the test, awareness of potential harm, the role of imaging in clinical care, discomfort, experience of waiting and 'seeing is believing'. Completed questionnaires were available from 132 patients. In regression analysis, a strong negative association was observed between the 'discomfort during the test' item and the overall experience of the test (standardised beta -0.35, p < 0.001). 'Staff made the experience better' (0.26, p < 0.001) and 'information provided' (0.28, p < 0.001) were positively associated with the overall experience of the test. For those who viewed their images, 'looking at the images with my doctor made me feel more involved in my care' (0.24, p = 0.022) was also associated positively with overall experience. Factors before, during and after a musculoskeletal imaging test contribute to the patient experience. The overall experience is most influenced by patient discomfort and interactions with staff during the test, information provided and viewing images to improve patient involvement in clinical care.


Subject(s)
Arthritis/diagnostic imaging , Musculoskeletal System/diagnostic imaging , Adult , Aged , Aged, 80 and over , Diagnostic Imaging/methods , Diagnostic Imaging/psychology , Humans , Middle Aged , New Zealand , Patient Participation , Qualitative Research , Regression Analysis , Surveys and Questionnaires
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