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      Predictors for major cardiovascular outcomes in stable ischaemic heart disease (PREMAC): statistical analysis plan for data originating from the CLARICOR (clarithromycin for patients with stable coronary heart disease) trial

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          Abstract

          Background

          The purpose of the predictors for major cardiovascular outcomes in stable ischaemic heart disease (PREMAC) study is exploratory and hypothesis generating. We want to identify biochemical quantities which—conditionally on the values of available standard demographic, anamnestic, and biochemical data—may improve the prediction of cardiovascular outcomes and/or death in patients suffering from stable ischaemic heart disease. The candidate biochemical quantities include N-terminal pro-B-type natriuretic peptide, YKL-40, osteoprotegerin, high-sensitive assay cardiac troponin T (hs-cTnT), pregnancy-associated plasma protein-A (PAPP-A), cathepsin B, cathepsin S, soluble TNF receptor 1 and 2, neutrophil gelatinase-associated lipocalin, endostatin, and calprotectin. As an extra objective, we also want to assess if skewness in these predictors may explain why the clarithromycin for patients with stable coronary heart disease (CLARICOR) trial found increased all-cause and cardiovascular (CV) mortality on a brief clarithromycin regimen compared with placebo.

          Methods

          Baseline data were obtained from the hospital files at five cardiology clinics covering the Copenhagen area. The CLARICOR trial included data from 4372 stable coronary artery disease patients recruited among such patients alive and diagnosed with acute myocardial infarction or unstable angina pectoris during 1993 to 1999 in Copenhagen and randomised during October 1999 to April 2000 to the CLARICOR trial of 14 days clarithromycin versus placebo.

          Initial follow-up lasted for 2.6 years, during which outcomes were collected through hospital and death registries and assessed by an adjudication committee. Corresponding register data later showed to produce similar results. The adjudicated outcomes were therefore replaced and augmented by register data on outcomes to cover 10 years of follow-up. Biochemical marker data were obtained from analysis of serum from the CLARICOR bio-bank collected at randomisation and stored at −80° C.

          Using Cox proportional hazard method, we will identify among the candidate biochemical quantities those which are significant predictors when used alone and in combination with the standard predictors as defined in the present study.

          Discussion

          Patients who became stable during the period 1993 to 1999 and died before October 1999 are missing. The data from the placebo patients are nevertheless useful to identify new prognostic biomarkers in patients with stable coronary artery disease, and data from both trial groups are useful to assess important potential skewness between randomised groups. However, due to the potential selection bias, we do not feel that it is advisable to try to rank identified biochemical predictors relative to each other nor to use the results for predictive purposes.

          Trial registration

          ClinicalTrials.gov, NCT00121550

          Date of registration 13 July 2005

          Date of enrolment of first participant 12 October 1999

          Related collections

          Most cited references35

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          Net reclassification indices for evaluating risk prediction instruments: a critical review.

          Net reclassification indices have recently become popular statistics for measuring the prediction increment of new biomarkers. We review the various types of net reclassification indices and their correct interpretations. We evaluate the advantages and disadvantages of quantifying the prediction increment with these indices. For predefined risk categories, we relate net reclassification indices to existing measures of the prediction increment. We also consider statistical methodology for constructing confidence intervals for net reclassification indices and evaluate the merits of hypothesis testing based on such indices. We recommend that investigators using net reclassification indices should report them separately for events (cases) and nonevents (controls). When there are two risk categories, the components of net reclassification indices are the same as the changes in the true- and false-positive rates. We advocate the use of true- and false-positive rates and suggest it is more useful for investigators to retain the existing, descriptive terms. When there are three or more risk categories, we recommend against net reclassification indices because they do not adequately account for clinically important differences in shifts among risk categories. The category-free net reclassification index is a new descriptive device designed to avoid predefined risk categories. However, it experiences many of the same problems as other measures such as the area under the receiver operating characteristic curve. In addition, the category-free index can mislead investigators by overstating the incremental value of a biomarker, even in independent validation data. When investigators want to test a null hypothesis of no prediction increment, the well-established tests for coefficients in the regression model are superior to the net reclassification index. If investigators want to use net reclassification indices, confidence intervals should be calculated using bootstrap methods rather than published variance formulas. The preferred single-number summary of the prediction increment is the improvement in net benefit.
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            Hypoxia, hypoxia-inducible transcription factor, and macrophages in human atherosclerotic plaques are correlated with intraplaque angiogenesis.

            We sought to examine the presence of hypoxia in human carotid atherosclerosis and its association with hypoxia-inducible transcription factor (HIF) and intraplaque angiogenesis. Atherosclerotic plaques develop intraplaque angiogenesis, which is a typical feature of hypoxic tissue and expression of HIF. To examine the presence of hypoxia in atherosclerotic plaques, the hypoxia marker pimonidazole was infused before carotid endarterectomy in 7 symptomatic patients. Also, the messenger ribonucleic acid (mRNA) and protein expression of HIF1 alpha, HIF2 alpha, HIF-responsive genes (vascular endothelial growth factor [VEGF], glucose transporter [GLUT]1, GLUT3, hexokinase [HK]1, and HK2), and microvessel density were determined in a larger series of nondiseased and atherosclerotic carotid arteries with microarray, quantitative reverse transcription polymerase chain reaction, in situ hybridization, and immunohistochemistry. Pimonidazole immunohistochemistry demonstrated the presence of hypoxia, especially within the macrophage-rich center of the lesions. Hypoxia correlated with the presence of a thrombus, angiogenesis, and expression of CD68, HIF, and VEGF. The mRNA and protein expression of HIF, its target genes, and microvessel density increased from early to stable lesions, but no changes were observed between stable and ruptured lesions. This is the first study directly demonstrating hypoxia in advanced human atherosclerosis and its correlation with the presence of macrophages and the expression of HIF and VEGF. Also, the HIF pathway was associated with lesion progression and angiogenesis, suggesting its involvement in the response to hypoxia and the regulation of human intraplaque angiogenesis.
              • Record: found
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              Trends and disparities in coronary heart disease, stroke, and other cardiovascular diseases in the United States: findings of the national conference on cardiovascular disease prevention.

              A workshop was held September 27 through 29, 1999, to address issues relating to national trends in mortality and morbidity from cardiovascular diseases; the apparent slowing of declines in mortality from cardiovascular diseases; levels and trends in risk factors for cardiovascular diseases; disparities in cardiovascular diseases by race/ethnicity, socioeconomic status, and geography; trends in cardiovascular disease preventive and treatment services; and strategies for efforts to reduce cardiovascular diseases overall and to reduce disparities among subpopulations. The conference concluded that coronary heart disease mortality is still declining in the United States as a whole, although perhaps at a slower rate than in the 1980s; that stroke mortality rates have declined little, if at all, since 1990; and that there are striking differences in cardiovascular death rates by race/ethnicity, socioeconomic status, and geography. Trends in risk factors are consistent with a slowing of the decline in mortality; there has been little recent progress in risk factors such as smoking, physical inactivity, and hypertension control. There are increasing levels of obesity and type 2 diabetes, with major differences among subpopulations. There is considerable activity in population-wide prevention, primary prevention for higher risk people, and secondary prevention, but wide disparities exist among groups on the basis of socioeconomic status and geography, pointing to major gaps in efforts to use available, proven approaches to control cardiovascular diseases. Recommendations for strategies to attain the year 2010 health objectives were made.

                Author and article information

                Contributors
                pwinkel@ctu.dk
                Journal
                Diagn Progn Res
                Diagn Progn Res
                Diagnostic and Prognostic Research
                BioMed Central (London )
                2397-7523
                29 March 2017
                29 March 2017
                2017
                : 1
                : 10
                Affiliations
                [1 ]ISNI 0000 0004 0646 7373, GRID grid.4973.9, Copenhagen Trial Unit, Centre for Clinical Intervention Research, Department 7812, Blegdamsvej 9, Rigshospitalet, , Copenhagen University Hospital, ; Copenhagen, Denmark
                [2 ]ISNI 0000 0004 0646 8763, GRID grid.414289.2, Department of Cardiology, , Holbæk Hospital, ; Holbæk, Denmark
                [3 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Section of Biostatistics, Department of Public Health, , University of Copenhagen, ; Copenhagen, Denmark
                [4 ]ISNI 0000 0004 0646 7373, GRID grid.4973.9, Department of Cardiology, Hvidovre Hospital, , Copenhagen University Hospital, ; Copenhagen, Denmark
                [5 ]ISNI 0000 0004 0646 7373, GRID grid.4973.9, Department of Cardiology S, Herlev Hospital, , Copenhagen University Hospital, ; Copenhagen, Denmark
                [6 ]ISNI 0000 0004 0646 7373, GRID grid.4973.9, Department of Cardiology, Bispebjerg Hospital, , Copenhagen University Hospital, ; Copenhagen, Denmark
                [7 ]ISNI 0000 0004 0646 7373, GRID grid.4973.9, Department of Cardiology B, The Heart Centre, Rigshospitalet, , Copenhagen University Hospital, ; Copenhagen, Denmark
                [8 ]ISNI 0000 0004 0512 5013, GRID grid.7143.1, Department of Clinical Microbiology, , Odense University Hospital, ; Odense, Denmark
                [9 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Neurobiology, Care Sciences and Society/Division of Family Medicine, , Karolinska Institute, ; Stockholm, Sweden
                [10 ]ISNI 0000 0001 0304 6002, GRID grid.411953.b, Department of Health and Social Sciences, , Dalarna University, ; Falun, Sweden
                [11 ]ISNI 0000 0001 2256 9319, GRID grid.11135.37, Center for Statistical Science, , Peking University, ; Beijing, China
                Author information
                http://orcid.org/0000-0001-8622-5806
                Article
                9
                10.1186/s41512-017-0009-y
                6460814
                7a70d21f-4c10-4d3c-8822-fbf9010779f8
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
                : 22 September 2016
                : 11 January 2017
                Funding
                Funded by: The Copenhagen Trial Unit, Centre for Clinical Intervention Research and the original funders of the CLARICOR trial and The Swedish Research Council, Swedish Heart-Lung foundation, the Thuréus foundation, the Marianne and Marcus Wallenberg Foundation, Dala
                Award ID: not applicable
                Categories
                Protocol
                Custom metadata
                © The Author(s) 2017

                claricor,ischaemic heart disease,predictors,biomarkers,mortality

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