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      International Journal of COPD (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on pathophysiological processes underlying Chronic Obstructive Pulmonary Disease (COPD) interventions, patient focused education, and self-management protocols. Sign up for email alerts here.

      39,063 Monthly downloads/views I 2.893 Impact Factor I 5.2 CiteScore I 1.16 Source Normalized Impact per Paper (SNIP) I 0.804 Scimago Journal & Country Rank (SJR)

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      Volumetric capnography and chronic obstructive pulmonary disease staging

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          Abstract

          Spirometry is difficult for some COPD patient to perform. Volumetric capnography could be a second choice test to evaluate the severity of functional disturbances. The aim of this work is to test this hypothesis. A total number of 98 subjects were classified either as normal ex-smokers (N = 14) or COPD patients. The latter were staged following GOLD recommendations. Spirometry and volumetric capnography recordings were obtained from each patient. Spirometry parameters, Bohr Dead Space (V D Bohr), Airways Dead Space from the pre-interface expirate corrected curve (V D aw), Phase III slope (Sl III) and Volume of alveolar ejection (V AE) were measured. Index of Ventilatory Efficiency (IVE), and Index of Airways Heterogeneity (IAH) were calculated as: IVE = V AE/(V T – V D aw) and IAH = 1 – [(V T – V D Bohr)/(V T – V D aw)]. In ANOCOVA analysis IAH showed the greatest association with stage (F > 40), with no significant covariant dependence on V T. A receiver operating characteristics curve analysis showed values of the area under the curve greater than 0.9 for IAH and IVE at all stage levels, with a sensitivity = specificity value greater than 80%. We conclude that IAH and IVE can be used when spirometry cannot be reliably performed, as an alternative test to evaluate the degree of functional involvement in COPD patients.

          Most cited references23

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          Measuring the accuracy of diagnostic systems.

          J Swets (1988)
          Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise". For them, analysis in terms of the "relative operating characteristic" of signal detection theory provides a precise and valid measure of diagnostic accuracy. It is the only measure available that is uninfluenced by decision biases and prior probabilities, and it places the performances of diverse systems on a common, easily interpreted scale. Representative values of this measure are reported here for systems in medical imaging, materials testing, weather forecasting, information retrieval, polygraph lie detection, and aptitude testing. Though the measure itself is sound, the values obtained from tests of diagnostic systems often require qualification because the test data on which they are based are of unsure quality. A common set of problems in testing is faced in all fields. How well these problems are handled, or can be handled in a given field, determines the degree of confidence that can be placed in a measured value of accuracy. Some fields fare much better than others.
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            Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests.

            We review the principles and practical application of receiver-operating characteristic (ROC) analysis for diagnostic tests. ROC analysis can be used for diagnostic tests with outcomes measured on ordinal, interval or ratio scales. The dependence of the diagnostic sensitivity and specificity on the selected cut-off value must be considered for a full test evaluation and for test comparison. All possible combinations of sensitivity and specificity that can be achieved by changing the test's cut-off value can be summarised using a single parameter; the area under the ROC curve. The ROC technique can also be used to optimise cut-off values with regard to a given prevalence in the target population and cost ratio of false-positive and false-negative results. However, plots of optimisation parameters against the selected cut-off value provide a more-direct method for cut-off selection. Candidates for such optimisation parameters are linear combinations of sensitivity and specificity (with weights selected to reflect the decision-making situation), odds ratio, chance-corrected measures of association (e. g. kappa) and likelihood ratios. We discuss some recent developments in ROC analysis, including meta-analysis of diagnostic tests, correlated ROC curves (paired-sample design) and chance- and prevalence-corrected ROC curves.
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              Epidemiologic issues in the validation of veterinary diagnostic tests.

              In this review, we critically discuss the objectives, methods and limitations of different approaches for the validation of diagnostic tests. We show (based on published data and our own experiences) that estimates for the diagnostic sensitivity and specificity may vary among populations and/or subpopulations of animals, conditional on the distribution of influential covariates. Additional variability in those parameter estimates may be attributable to the sampling strategy. The uncertainty about diagnostic parameters is of concern for the decision-maker in the context of clinical diagnosis or quantitative risk assessment as well as for the epidemiologist who uses test data for prevalence estimation or risk-factor studies. Examples for the calculation of diagnostic parameters are presented together with bias-avoidance strategies. We suggest guidelines for an epidemiologic approach to test validation of veterinary diagnostic tests.
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                Author and article information

                Journal
                Int J Chron Obstruct Pulmon Dis
                International Journal of COPD
                International Journal of Chronic Obstructive Pulmonary Disease
                Dove Medical Press
                1176-9106
                1178-2005
                September 2007
                September 2007
                : 2
                : 3
                : 381-391
                Affiliations
                [1 ]Laboratorio de Función Pulmonar, Servicio de Neumologia, Hospital Universitario de Bellvitge, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain;
                [2 ]Critical Care Center, Hospital de Sabadell, Institut Universitari Fundació Parc Taulí, Sabadell, Spain
                Author notes
                Correspondence: Pablo V Romero, Laboratorio de Función Pulmonar Hospital Universitario de Bellvitge c/Feixa Llarga s/n, 08907 L’Hospitalet de Llobregat,Barcelona, Spain, Tel +34 93 260 7556, Fax +34 93 260 7689, Email pvromero@ 123456csub.scs.es
                Article
                copd-2-381
                2695190
                18229577
                df0be23e-ed01-4163-be13-c62a5fe55725
                © 2007 Dove Medical Press Limited. All rights reserved
                History
                Categories
                Original Research

                Respiratory medicine
                capnography,spirometry,receiver operating characteristics curve,dead space,chronic obstructive pulmonary disease,pulmonary heterogeneity

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                Most referenced authors145