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      Clinical course, costs and predictive factors for response to treatment in carpal tunnel syndrome: the PALMS study protocol

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          Abstract

          Background

          Carpal tunnel syndrome (CTS) is the most common neuropathy of the upper limb and a significant contributor to hand functional impairment and disability. Effective treatment options include conservative and surgical interventions, however it is not possible at present to predict the outcome of treatment. The primary aim of this study is to identify which baseline clinical factors predict a good outcome from conservative treatment (by injection) or surgery in patients diagnosed with carpal tunnel syndrome. Secondary aims are to describe the clinical course and progression of CTS, and to describe and predict the UK cost of CTS to the individual, National Health Service (NHS) and society over a two year period.

          Methods/Design

          In this prospective observational cohort study patients presenting with clinical signs and symptoms typical of CTS and in whom the diagnosis is confirmed by nerve conduction studies are invited to participate. Data on putative predictive factors are collected at baseline and follow-up through patient questionnaires and include standardised measures of symptom severity, hand function, psychological and physical health, comorbidity and quality of life. Resource use and cost over the 2 year period such as prescribed medications, NHS and private healthcare contacts are also collected through patient self-report at 6, 12, 18 and 24 months. The primary outcome used to classify treatment success or failures will be a 5-point global assessment of change. Secondary outcomes include changes in clinical symptoms, functioning, psychological health, quality of life and resource use. A multivariable model of factors which predict outcome and cost will be developed.

          Discussion

          This prospective cohort study will provide important data on the clinical course and UK costs of CTS over a two-year period and begin to identify predictive factors for treatment success from conservative and surgical interventions.

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          Most cited references33

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          The Self-Administered Comorbidity Questionnaire: a new method to assess comorbidity for clinical and health services research.

          To develop the Self-Administered Comorbidity Questionnaire (SCQ) and assess its psychometric properties, including the predictive validity of the instrument, as reflected by its association with health status and health care utilization after 1 year. A cross-sectional comparison of the SCQ with a standard, chart abstraction-based measure (Charlson Index) was conducted on 170 inpatients from medical and surgical care units. The association of the SCQ with the chart-based comorbidity instrument and health status (short form 36) was evaluated cross sectionally. The association between these measures and health status and resource utilization was assessed after 1 year. The Spearman correlation coefficient for the association between the SCQ and the Charlson Index was 0.32. After restricting each measure to include only comparable items, the correlation between measures was stronger (Spearman r = 0.55). The SCQ had modest associations with measures of resource utilization during the index admission, and with health status and resource utilization after 1 year. The SCQ has modest correlations with a widely used medical record-based comorbidity instrument, and with subsequent health status and utilization. This new measure represents an efficient method to assess comorbid conditions in clinical and health services research. It will be particularly useful in settings where medical records are unavailable.
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            A self-administered questionnaire for the assessment of severity of symptoms and functional status in carpal tunnel syndrome.

            We developed a self-administered questionnaire for the assessment of severity of symptoms and functional status in patients who have carpal tunnel syndrome. The reproducibility, internal consistency, validity, and responsiveness to clinical change of scales for the measurement of severity of symptoms and functional status were evaluated in a clinical study. The scales were highly reproducible (Pearson correlation coefficient, r = 0.91 and 0.93 for severity of symptoms and functional status, respectively) and internally consistent (Cronbach alpha, 0.89 and 0.91 for severity of symptoms and functional status, respectively). Both scales had positive, but modest or weak, correlations with two-point discrimination and Semmes-Weinstein monofilament testing (Spearman coefficient, r = 0.12 to 0.42). In thirty-eight patients who were operated on in 1990 and were evaluated a median of fourteen months postoperatively, the mean symptom-severity score improved from 3.4 points preoperatively to 1.9 points at the latest follow-up examination, while the mean functional-status score improved from 3 to 2 points (5 points is the worst score and 1 point is the best score for each scale). Similar improvement was noted in twenty-six patients who were evaluated before and three months after the operation. We concluded that the scales for the measurement of severity of symptoms and functional status are reproducible, internally consistent, and responsive to clinical change, and that they measure dimensions of outcomes not captured by traditional measurements of impairment of the median nerve. These scales should enhance standardization of measurement of outcomes in studies of treatment for carpal tunnel syndrome.
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              Sample size determination for logistic regression revisited.

              There is no consensus on the approach to compute the power and sample size with logistic regression. Some authors use the likelihood ratio test; some use the test on proportions; some suggest various approximations to handle the multivariate case. We advocate the use of the Wald test since the Z-score is routinely used for statistical significance testing of regression coefficients. The null-variance formula became popular from early studies, which contradicts modern software, which utilizes the method of maximum likelihood estimation (MLE), when the variance of the MLE is estimated at the MLE, not at the null. We derive general Wald-based power and sample size formulas for logistic regression and then apply them to binary exposure and confounder to obtain a closed-form expression. These formulas are applied to minimize the total sample size in a case-control study to achieve a given power by optimizing the ratio of controls to cases. Approximately, the optimal number of controls to cases is equal to the square root of the alternative odds ratio. Our sample size and power calculations can be carried out online at www.dartmouth.edu/ approximately eugened.
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                Author and article information

                Journal
                BMC Musculoskelet Disord
                BMC Musculoskelet Disord
                BMC Musculoskeletal Disorders
                BioMed Central
                1471-2474
                2014
                7 February 2014
                : 15
                : 35
                Affiliations
                [1 ]Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, UK
                [2 ]Norwich Clinical Trials Unit, University of East Anglia, Norwich, UK
                [3 ]Cambridge Centre for Health Services Research, University of Cambridge, Cambridge, UK
                [4 ]Department of Neurophysiology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
                Article
                1471-2474-15-35
                10.1186/1471-2474-15-35
                3921988
                24507749
                bf0bdc8b-498e-4787-a7e1-36527898d18c
                Copyright © 2014 Jerosch-Herold et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 23 January 2014
                : 6 February 2014
                Categories
                Study Protocol

                Orthopedics
                Orthopedics

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