1Quantitative measures of rheumatic diseases for clinical research versus standard clinical care: differences, advantages and limitations
Introduction
Quantitative clinical measures ranging from temperature to serum glucose have greatly advanced clinical care of most diseases. Translation of qualitative clinical impressions into quantitative data contributes to improvements in diagnosis, prognosis, and treatment. Quantitative assessment in rheumatic diseases differs from many clinical conditions in that a single ‘gold standard’ measure such as blood pressure or serum cholesterol, which can be used to assess all individual patients in clinical trials, clinical research, and clinical care, is not available. Therefore, pooled indices of multiple measures1 have been developed, such as the American College of Rheumatology (ACR) Core Data Set2, 3, 4 and Disease Activity Score (DAS)5, 6 to assess and monitor patients with rheumatoid arthritis (RA). Indices have also been developed to assess systemic lupus erythematosus (SLE)7, 8, 9, 10, 11, 12, 13, 14, vasculitis15, 16, 17, 18, 19, 20, psoriatic arthritis21, 22, 23, ankylosing spondylitis24, 25, 26, 27, 28, and other diseases (Table 1).
Considerable advances in quantitative measurement in rheumatology over the last two decades have been applied primarily to clinical trials and other clinical research. One matter that has not received substantial attention is the application of measures in standard rheumatology clinical care. Indeed, in contrast to clinical trials, most standard rheumatology care continues to be conducted largely according to qualitative ‘Gestalt’ impressions, without quantitative data other than laboratory tests, which frequently give false-positive, false-negative, or non-informative results.29, 30
Management of inflammatory rheumatic diseases without quantitative information may be regarded as analogous to giving treatment for a fever without a temperature, rapid heart rate without a pulse, or even elevated blood pressure or serum glucose without quantitative information. Such clinical management can be effective, but quantitative data enhance effective care, as well as documentation of results.
Measures and indices designed for clinical trials and other clinical research can differ substantially from measures designed for standard clinical care (Table 2). The primary criteria for acceptability of measures in clinical research are validity – ‘Does the measure address what is thought to be measured?’ – and reliability – ‘Is the measure reproducible?’31, 32 Measures to be used in standard clinical care must be valid and reliable, but also feasible and acceptable to patients and health professionals. For example, the classical 66/68-joint count, with five graded criteria for swelling, tenderness, pain on motion, deformity, and limited motion, has been abbreviated to 28 joints that are scored ‘Yes’ or ‘No’ for swelling and tenderness. Elaborate patient questionnaires that were not designed to be reviewed and scored by a clinician when treating patients [even including the Health Assessment Questionnaire (HAQ)33] have been modified to instruments such as the Multidimensional HAQ (MDHAQ)34, *35, which is easily scored to be available for clinical decisions in standard care. Furthermore, an index based on the MDHAQ, termed routine assessment of patient index data 3 (RAPID3), which can be scored in 10 seconds, depicts status and differences between active and control treatments in clinical trials as effectively as a DAS.36, 37, *38
This chapter describes measures used to assess patients with RA, including joint counts, radiographs, laboratory tests, patient questionnaires, and global measures, as well as RA indices. Measures and indices used in research settings (including clinical trials), in which the primary criteria are validity and reliability, are contrasted with measures for standard clinical care, which require the additional considerations of clinical utility, feasibility, and acceptability. Some advantages and limitations of each of the different types of measures are discussed (Table 3). Further details are found in previous articles that review measures used in rheumatic diseases.39, 40, *41, *42, 43
Section snippets
Research measures
A 66/68-joint count was described by a consortium of rheumatology clinical trial centers in 1965 (Table 4).44 This joint count includes the metacarpo phalangeal (MCP), proximal interphalangeal (PIP), and distal interphalangeal (DIP) joints of the hands, metatarsal phalangeal (MTP) and proximal interphalangeal (PIP) joints of the feet, shoulder, elbow, wrist, hip, knee, ankle, tarsus, and temporomandibular, sternoclavicular, and acromioclavicular joints.44 Swelling of the hip, which is difficult
Measures for clinical research
Excellent quantitative scoring systems are available for radiographs in RA, including the classical scoring systems developed by Larsen89, 90 and Sharp91, 92 as well as modifications by van der Heijde93, 94 Rau95, and others. The Sharp method involves separate scores for erosions and joint-space narrowing on 0–5 scales, with a total or mean score for all joints; the Larsen method is based on a global 0–5 score for each joint. These two methods are correlated significantly with one another and
Laboratory methods designed for research
Laboratory tests for rheumatic diseases all originated in research settings. For example, rheumatoid factor was discovered serendipitously when sheep cells prepared for a complement fixation test showed spontaneous agglutination as a result of an immunoglobulin (IgM) that interacted with human IgG. This occurred because a laboratory technician who provided a ‘control’ serum in the laboratory of Dr Harry Rose happened to have RA and rheumatoid factor. Dr Charles Ragan, the technician's
Patient questionnaires designed for research
Patient self-report questionnaires have become prominent in the assessment and monitoring of patients with rheumatic diseases over the last two decades. The HAQ33, published in 1980, was a major milestone in rheumatology. It includes a scale of 20 activities of daily living (ADL), in eight categories of two or three ADL, to assess physical function, with four patient response options: 0 = without any difficulty, 1 = with some difficulty, 2 = with much difficulty, and 3 = unable to do. The eight
Measures designed for research
Global status can be assessed according to estimates by either the patient or the physician. Historically, global status was measured on a 4-point scale, such as Steinbrocker American Rheumatism Association (now American College of Rheumatology) functional class.106 However, a 4-point scale is relatively insensitive to change, as 70% of patients generally were in Class II and would remain in Class II despite substantial improvement or progression over years.
More recently, global status reported
Measures designed for research
The absence of a ‘gold standard’ measure in rheumatic diseases has led to development of pooled indices of 3–10 measures for patient assessment (see Table 1). As noted, indices are available for RA2, 3, 4, 5, 6, 125, 163, 164, osteoarthritis165, fibromyalgia166, SLE7, 8, 9, 10, 11, 12, 13, 14, ankylosing spondylitis24, 25, 26, 27, 28, vasculitis15, 16, 17, 18, 19, 20, 167, and psoriatic arthritis.21, 22, 23, 43
The most prominent indices to assess RA are the ACR Core Data Set2, 3, 4 and DAS.5, 6
Concluding thoughts
Most rheumatic diseases are characterized by the absence of a single quantitative measure that can serve as a pathognomonic measure in the diagnosis, assessment, and monitoring of clinical status in individual patients. Therefore, a variety of quantitative measures and indices of these measures have been developed to quantitate patient status for clinical trials, clinical research, and clinical care. However, most of these measures remain research tools, and are not applied to assess and
Acknowledgements
Supported in part by grants from the Arthritis Foundation, the Jack C. Massey Foundation, Bristol-Myers Squibb, and Amgen.
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