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Proposed Metrics for the Determination of Rheumatoid Arthritis Outcome and Treatment Success and Failure FREDERICK WOLFE and KALEB MICHAUD
ABSTRACT. Methods. A total of 20,268 patients with RA (5132 without comorbidity) were studied by recursive partitioning and regression methods to determine best dividing points between RA treatment and outcome success and non-success using 0-10 visual analog scales (VAS) for patient global assessment, pain, fatigue, and RA activity, and a Health Assessment Questionnaire (HAQ) scale. Results. 14.5% of all patients and 22.9% of those without comorbidity were very satisfied with their health (success). Patient global at a level ≤ 1.25 best separated success from failure. Mean and median scores for those who were very satisfied were HAQ (0-3 scale) 0.36, 0.12; pain (0-10) 1.1, 0.5; global (0-10) 0.9, 0.5; and fatigue (0-10) 1.5, 1.0. VAS scores increased by approximately 0.5 units for each comorbid condition. Conclusion. Patient global at a level ≤ 1.25 best separates patients who are very satisfied with their health from those not very satisfied, regardless of the presence of comorbidity. All scores increase with increasing comorbidity, which must be accounted for when assessing individual patients. Values identified here suggest patients require better outcomes than are found in patients who are in Disease Activity Score-28 remission or OMERACT low disease activity states. (J Rheumatol First Release Dec 1 2008; doi:10.3899/jrheum.080591) Key Indexing Terms:
TREATMENT FAILURE From the National Data Bank for Rheumatic Diseases, Wichita, Kansas; and the University of Nebraska Medical Center, Omaha, Nebraska, USA. Supported by a grant from Bristol-Myers Squibb. F. Wolfe, MD, National Data Bank for Rheumatic Diseases, University of Kansas School of Medicine; K. Michaud, PhD, University of Nebraska Medical Center, National Data Bank for Rheumatic Diseases. Address correspondence to Dr. F. Wolfe, National Data Bank for Rheumatic Diseases, 1035 N. Emporia, Suite 288, Wichita, KS 67214. E-mail: fwolfe@arthritis-research.org Accepted for publication August 18, 2008.
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