10
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Relationship between Uric Acid/Albumin Ratio and Carotid Intima-Media Thickness in Patients with Hypertension.

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Hypertension causes subendothelial inflammation and dysfunction in resulting atherosclerosis. Carotid intima-media thickness (CIMT) is a useful marker of endothelial dysfunction and atherosclerosis. The uric acid to albumin ratio (UAR) has emerged as a novel marker for predicting cardiovascular events.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: found
          • Article: found

          2018 ESC/ESH Guidelines for the management of arterial hypertension

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

            Identification of key factors associated with the risk of developing cardiovascular disease and quantification of this risk using multivariable prediction algorithms are among the major advances made in preventive cardiology and cardiovascular epidemiology in the 20th century. The ongoing discovery of new risk markers by scientists presents opportunities and challenges for statisticians and clinicians to evaluate these biomarkers and to develop new risk formulations that incorporate them. One of the key questions is how best to assess and quantify the improvement in risk prediction offered by these new models. Demonstration of a statistically significant association of a new biomarker with cardiovascular risk is not enough. Some researchers have advanced that the improvement in the area under the receiver-operating-characteristic curve (AUC) should be the main criterion, whereas others argue that better measures of performance of prediction models are needed. In this paper, we address this question by introducing two new measures, one based on integrated sensitivity and specificity and the other on reclassification tables. These new measures offer incremental information over the AUC. We discuss the properties of these new measures and contrast them with the AUC. We also develop simple asymptotic tests of significance. We illustrate the use of these measures with an example from the Framingham Heart Study. We propose that scientists consider these types of measures in addition to the AUC when assessing the performance of newer biomarkers.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Evaluating the yield of medical tests.

              A method is presented for evaluating the amount of information a medical test provides about individual patients. Emphasis is placed on the role of a test in the evaluation of patients with a chronic disease. In this context, the yield of a test is best interpreted by analyzing the prognostic information it furnishes. Information from the history, physical examination, and routine procedures should be used in assessing the yield of a new test. As an example, the method is applied to the use of the treadmill exercise test in evaluating the prognosis of patients with suspected coronary artery disease. The treadmill test is shown to provide surprisingly little prognostic information beyond that obtained from basic clinical measurements.
                Bookmark

                Author and article information

                Journal
                Arq Bras Cardiol
                Arquivos brasileiros de cardiologia
                Sociedade Brasileira de Cardiologia
                1678-4170
                0066-782X
                Mar 2023
                : 120
                : 5
                Affiliations
                [1 ] Departamento de Cardiologia, Universidade de Ciências da Saúde, Van Training and Education Hospital, Van - Turquia.
                [2 ] Departamento de Cardiologia, Universidade de Ciências da Saúde, Sultan II. Abdulhamid Han Training and Research Hospital, Istanbul - Turquia.
                [3 ] Departamento de Cardiologia e Bioestatística, Istanbul Nisantasi University, Istanbul - Turquia.
                Article
                S0066-782X2023000500302
                10.36660/abc.20220819
                10124582
                37098960
                a4f2fa89-5c40-4532-a775-fd5a203aa183
                History

                Comments

                Comment on this article