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      Early effects of kidney transplantation on the heart - A cardiac magnetic resonance multi-parametric study

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          Abstract

          Increased native myocardial T1 times in chronic kidney disease (CKD) may be due to diffuse interstitial myocardial fibrosis (DIF) or due to interstitial edema/inflammation. Concerns relating to nephrogenic systemic fibrosis with gadolinium-based contrast agents (GBCA) limit their use in end-stage kidney disease (ESKD) to measure extracellular volume (ECV) and characterise myocardial fibrosis. This study aimed to examine stability of myocardial T1 and T2 times before, and within 2 months after kidney transplantation; a time frame when volume status normalises but myocardial remodelling is unlikely to have occurred, and to compare these with ECV using GBCA after transplantation. Twenty-four patients with ESKD underwent serial cardiovascular magnetic resonance imaging, including T1 and T2 mapping. GBCA was administered on follow-up provided eGFR was >30 ml/min/1.73 m 2. Eighteen age- and sex-matched controls were studied at one timepoint. ECV (ECV 28 ± 2% vs. 24 ± 2%, p = 0.001) and T2 times were higher in ESKD compared to controls. After transplantation, septal T1 times increased (MOLLI 985 ms ± 25 vs. 1002 ms ± 30, p = 0.014; ShMOLLI 974 ms ± 39 vs. 992 ms ± 33, p = 0.113), LV volumes reduced (LVEDvol indexed 79 ± 24 vs. 63 ± 20 ml/m 2, p = 0.005) but LV mass was unchanged (LV mass index 89 g/m 2 ± 38 to 83 g/m 2 ± 23, p = 0.141). T2 times did not change after transplantation. Both ECV and myocardial T1 times are elevated in ESKD, supporting the theory that elevated T1 times are due to DIF, although a contribution from myocardial edema cannot be fully excluded. The lack of any fall in T1 or T2 times after transplantation suggests that myocardial T1 times are a stable measure of DIF in CKD.

          Highlights

          • ECV is elevated in ESKD suggesting the elevated myocardial T1 times observed are indicative of diffuse interstitial fibrosis.

          • The contribution of myocardial oedema towards elevated T1 times and ECV cannot be excluded in ESKD.

          • Native T1 times is a stable and reproducible biomarker of fibrosis.

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          Most cited references26

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          Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)

          Parametric mapping techniques provide a non-invasive tool for quantifying tissue alterations in myocardial disease in those eligible for cardiovascular magnetic resonance (CMR). Parametric mapping with CMR now permits the routine spatial visualization and quantification of changes in myocardial composition based on changes in T1, T2, and T2*(star) relaxation times and extracellular volume (ECV). These changes include specific disease pathways related to mainly intracellular disturbances of the cardiomyocyte (e.g., iron overload, or glycosphingolipid accumulation in Anderson-Fabry disease); extracellular disturbances in the myocardial interstitium (e.g., myocardial fibrosis or cardiac amyloidosis from accumulation of collagen or amyloid proteins, respectively); or both (myocardial edema with increased intracellular and/or extracellular water). Parametric mapping promises improvements in patient care through advances in quantitative diagnostics, inter- and intra-patient comparability, and relatedly improvements in treatment. There is a multitude of technical approaches and potential applications. This document provides a summary of the existing evidence for the clinical value of parametric mapping in the heart as of mid 2017, and gives recommendations for practical use in different clinical scenarios for scientists, clinicians, and CMR manufacturers.
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            Chronic kidney disease and the risk for cardiovascular disease, renal replacement, and death in the United States Medicare population, 1998 to 1999.

            Knowledge of the excess risk posed by specific cardiovascular syndromes could help in the development of strategies to reduce premature mortality among patients with chronic kidney disease (CKD). The rates of atherosclerotic vascular disease, congestive heart failure, renal replacement therapy, and death were compared in a 5% sample of the United States Medicare population in 1998 and 1999 (n = 1,091,201). Patients were divided into the following groups: 1, no diabetes, no CKD (79.7%); 2, diabetes, no CKD (16.5%); 3, CKD, no diabetes (2.2%); and 4, both CKD and diabetes (1.6%). During the 2 yr of follow-up, the rates (per 100 patient-years) in the four groups were as follows: atherosclerotic vascular disease, 14.1, 25.3, 35.7, and 49.1; congestive heart failure, 8.6, 18.5, 30.7, and 52.3; renal replacement therapy, 0.04, 0.2, 1.6, and 3.4; and death, 5.5, 8.1, 17.7, and 19.9, respectively (P < 0.0001). With use of Cox regression, the corresponding adjusted hazards ratios were as follows: atherosclerotic vascular disease, 1, 1.30, 1.16, and 1.41 (P < 0.0001); congestive heart failure, 1, 1.44, 1.28, and 1.79 (P < 0.0001); renal replacement therapy, 1, 2.52, 23.1, and 38.9 (P < 0.0001); and death, 1, 1.21, 1.38, and 1.56 (P < 0.0001). On a relative basis, patients with CKD were at a much greater risk for the least frequent study outcome, renal replacement therapy. On an absolute basis, however, the high death rates of patients with CKD may reflect accelerated rates of atherosclerotic vascular disease and congestive heart failure.
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              Normalized left ventricular systolic and diastolic function by steady state free precession cardiovascular magnetic resonance.

              We used state of the art CMR to define ranges for normal left ventricular volumes and systolic/diastolic function normalized to the influence of gender, body surface area and age. New CMR normalized ranges were modeled and displayed in graphical form for clinical use, with normalization for body surface area, gender, and age. The determination of normality, or the severity of abnormality, depends on the use of the appropriate reference ranges normalized to all 3 variables. These novel data have particular importance for clinical practice and clinical trials using CMR.
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                Author and article information

                Contributors
                Journal
                Int J Cardiol
                Int. J. Cardiol
                International Journal of Cardiology
                Elsevier
                0167-5273
                1874-1754
                15 October 2019
                15 October 2019
                : 293
                : 272-277
                Affiliations
                [a ]Birmingham Cardiorenal Group, Institute of Cardiovascular Sciences, University of Birmingham, United Kingdom of Great Britain and Northern Ireland
                [b ]Institute of Cardiovascular Sciences, University of Birmingham, United Kingdom of Great Britain and Northern Ireland
                [c ]Institute of Cardiovascular Science, University College London, United Kingdom of Great Britain and Northern Ireland
                Author notes
                [* ]Corresponding author at: 1 st Floor Nuffield House, Department of Cardiology, Mendelsohn Way, Queen Elizabeth Hospital Birmingham, B15 2TH, United Kingdom of Great Britain and Northern Ireland. mkh242@ 123456bham.ac.uk
                [1]

                These authors take responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation.

                Article
                S0167-5273(18)37054-2
                10.1016/j.ijcard.2019.06.007
                6723623
                31272740
                404d1892-8246-4518-9f35-222149cbc505
                © 2019 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 6 December 2018
                : 12 May 2019
                : 3 June 2019
                Categories
                Article

                Cardiovascular Medicine
                myocardial fibrosis,uremic cardiomyopathy,kidney transplantation,multiparametric t1/t2 mapping

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