Chronic kidney disease is related to impaired left ventricular strain as assessed by cardiac magnetic resonance imaging in patients with ischemic cardiomyopathy.
Cardiac magnetic resonance imaging
Chronic kidney disease
Ischemic cardiomyopathy
LV strain
Myocardial scar
Journal
Clinical research in cardiology : official journal of the German Cardiac Society
ISSN: 1861-0692
Titre abrégé: Clin Res Cardiol
Pays: Germany
ID NLM: 101264123
Informations de publication
Date de publication:
11 Dec 2023
11 Dec 2023
Historique:
received:
06
07
2023
accepted:
10
11
2023
medline:
11
12
2023
pubmed:
11
12
2023
entrez:
11
12
2023
Statut:
aheadofprint
Résumé
Chronic kidney disease (CKD) is an important cardiovascular risk factor. However, the relationship between CKD and myocardial strain as a parameter of myocardial function is still incompletely understood, particularly in patients with ischemic cardiomyopathy (ICM). Cardiac magnetic resonance imaging (CMR) feature tracking allows to analyze myocardial strain with high reproducibility. Therefore, the aim of the present study was to assess the relationship between CKD and myocardial strain as described by CMR in patients with ICM. We retrospectively performed CMR-based myocardial strain analysis in 89 patients with ICM and different stages of CKD, classified according to the KDIGO stages. In all patients, global longitudinal strain (GLS), global circumferential strain (GCS) and global radial strain (GRS) analysis of left ventricular myocardium were performed. Furthermore, segmental longitudinal (SLS), circumferential (SCS) and radial strain (SRS) according to the AHA 16/17-segment model was determined. Creatinine levels (GLS: r = 0.46, p < 0.001; GCS: r = 0.34, p = 0.001; GRS: r = - 0.4, p < 0.001), urea levels (GLS: r = 0.34, p = 0.001; GCS: r = 0.30, p = 0.005; GRS: r = - 0.31, p = 0.003) as well as estimated glomerular filtration rate (GLS: r = -0.40, p < 0.001; GCS: r = - 0.27, p = 0.012; GRS r = 0.34, p < 0.001) were significantly associated with global strains as determined by CMR. To further investigate the relationship between CKD and myocardial dysfunction, segmental strain analysis was performed: SLS was progressively impaired with increasing severity of CKD (KDIGO-1: - 11.93 ± 0.34; KDIGO-5: - 7.99 ± 0.38; p < 0.001 for KDIGO-5 vs. KDIGO-1; similar data for SCS and SRS). Interestingly, myocardial strain was impaired with CKD in both segments with and without scarring. Furthermore, in a multivariable analysis, eGFR was independently associated with GLS following adjustment for LV-EF, scar burden, diabetes, hypertension, age, gender, LV mass or LV mass index. CKD is related to impaired LV strain as assessed by CMR in patients with ICM. In our cohort, this relationship is independent of LV-EF, the extent of myocardial scarring, diabetes, hypertension, age, gender, LV mass or LV mass index.
Identifiants
pubmed: 38078956
doi: 10.1007/s00392-023-02346-6
pii: 10.1007/s00392-023-02346-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023. The Author(s).
Références
Ardhanari S, Alpert MA, Aggarwal K (2014) Cardiovascular disease in chronic kidney disease: risk factors, pathogenesis, and prevention. Adv Perit Dial 30:40–53
pubmed: 25338421
Matsushita K, Ballew SH, Coresh J (2015) Influence of chronic kidney disease on cardiac structure and function. Curr Hypertens Rep 17(9):581
doi: 10.1007/s11906-015-0581-x
pubmed: 26194332
Fujii H, Kono K, Nishi S (2019) Characteristics of coronary artery disease in chronic kidney disease. Clin Exp Nephrol 23(6):725–732
doi: 10.1007/s10157-019-01718-5
pubmed: 30830548
Bae EH et al (2012) GFR and cardiovascular outcomes after acute myocardial infarction: results from the Korea Acute Myocardial Infarction Registry. Am J Kidney Dis 59(6):795–802
doi: 10.1053/j.ajkd.2012.01.016
pubmed: 22445708
Nakano T et al (2010) Association of kidney function with coronary atherosclerosis and calcification in autopsy samples from Japanese elders: the Hisayama study. Am J Kidney Dis 55(1):21–30
doi: 10.1053/j.ajkd.2009.06.034
pubmed: 19765871
Major RW et al (2018) Cardiovascular disease risk factors in chronic kidney disease: a systematic review and meta-analysis. PLoS ONE 13(3):e0192895
doi: 10.1371/journal.pone.0192895
pubmed: 29561894
Jankowski J et al (2021) Cardiovascular disease in chronic kidney disease: pathophysiological insights and therapeutic options. Circulation 143(11):1157–1172
doi: 10.1161/CIRCULATIONAHA.120.050686
pubmed: 33720773
Wilson PW et al (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97(18):1837–1847
doi: 10.1161/01.CIR.97.18.1837
pubmed: 9603539
Prevention C.f.D.C.a. (2017) National Chronic Kidney disease Fact Sheet. Department of Health and Human Services, Atlanta, GA
Guerin AP et al (2000) Arterial stiffening and vascular calcifications in end-stage renal disease. Nephrol Dial Transplant 15(7):1014–1021
doi: 10.1093/ndt/15.7.1014
pubmed: 10862640
London GM, Guerin AP (1999) Influence of arterial pulse and reflected waves on blood pressure and cardiac function. Am Heart J 138(3 Pt 2):220–224
doi: 10.1016/S0002-8703(99)70313-3
pubmed: 10467216
Gauthier-Bastien A et al (2014) Vascular remodeling and media calcification increases arterial stiffness in chronic kidney disease. Clin Exp Hypertens 36(3):173–180
doi: 10.3109/10641963.2013.804541
pubmed: 23786435
Salib M et al (2022) Serum markers of fibrosis, cardiovascular and all-cause mortality in hemodialysis patients: the AURORA trial. Clin Res Cardiol 111(6):614–626
doi: 10.1007/s00392-021-01898-9
pubmed: 34170371
Alhaj E et al (2013) Uremic cardiomyopathy: an underdiagnosed disease. Congest Heart Fail 19(4):E40–E45
doi: 10.1111/chf.12030
pubmed: 23615021
Shah RV, Abbasi SA, Kwong RY (2014) Role of cardiac MRI in diabetes. Curr Cardiol Rep 16(2):449
doi: 10.1007/s11886-013-0449-0
pubmed: 24430012
Negishi K et al (2013) Independent and incremental value of deformation indices for prediction of trastuzumab-induced cardiotoxicity. J Am Soc Echocardiogr 26(5):493–498
doi: 10.1016/j.echo.2013.02.008
pubmed: 23562088
Negishi K et al (2014) Use of speckle strain to assess left ventricular responses to cardiotoxic chemotherapy and cardioprotection. Eur Heart J Cardiovasc Imaging 15(3):324–331
doi: 10.1093/ehjci/jet159
pubmed: 24057661
Polacin M et al (2022) Segmental strain for scar detection in acute myocardial infarcts and in follow-up exams using non-contrast CMR cine sequences. BMC Cardiovasc Disord 22(1):226
doi: 10.1186/s12872-022-02664-z
pubmed: 35585495
Claus P et al (2015) Tissue tracking technology for assessing cardiac mechanics: principles, normal values, and clinical applications. JACC Cardiovasc Imaging 8(12):1444–1460
doi: 10.1016/j.jcmg.2015.11.001
pubmed: 26699113
Pedrizzetti G et al (2016) Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J Cardiovasc Magn Reson 18(1):51
doi: 10.1186/s12968-016-0269-7
pubmed: 27561421
Richardson WJ et al (2015) Physiological implications of myocardial scar structure. Compr Physiol 5(4):1877–1909
doi: 10.1002/cphy.c140067
pubmed: 26426470
Stathogiannis K et al (2020) Regional myocardial strain by cardiac magnetic resonance feature tracking for detection of scar in ischemic heart disease. Magn Reson Imaging 68:190–196
doi: 10.1016/j.mri.2020.02.009
pubmed: 32084516
Zhang Y et al (2021) The additive effects of kidney dysfunction on left ventricular function and strain in type 2 diabetes mellitus patients verified by cardiac magnetic resonance imaging. Cardiovasc Diabetol 20(1):11
doi: 10.1186/s12933-020-01203-4
pubmed: 33413395
Terhuerne J et al (2021) Speckle-tracking echocardiography in comparison with ejection fraction for prediction of cardiovascular mortality in patients with end-stage renal disease. Clin Kidney J 14(6):1579–1585
doi: 10.1093/ckj/sfaa161
pubmed: 34276976
Jia X et al (2022) Cardiac magnetic resonance imaging parameters show association between myocardial abnormalities and severity of chronic kidney disease. Front Cardiovasc Med 9:1053122
doi: 10.3389/fcvm.2022.1053122
pubmed: 36465471
Weinreb JC et al (2021) Use of intravenous gadolinium-based contrast media in patients with kidney disease: consensus statements from the American College of Radiology and the National Kidney Foundation. Kidney Med 3(1):142–150
doi: 10.1016/j.xkme.2020.10.001
pubmed: 33604544
Schulz-Menger J et al (2020) Standardized image interpretation and post-processing in cardiovascular magnetic resonance—2020 update : Society for Cardiovascular Magnetic Resonance (SCMR): Board of Trustees Task Force on Standardized Post-Processing. J Cardiovasc Magn Reson 22(1):19
doi: 10.1186/s12968-020-00610-6
Cerqueira MD et al (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Int J Cardiovasc Imaging 18(1):539–542
pubmed: 12135124
Levey AS et al (2020) Nomenclature for kidney function and disease-executive summary and glossary from a Kidney Disease: Improving Global Outcomes (KDIGO) consensus conference. Eur Heart J 41(48):4592–4598
doi: 10.1093/eurheartj/ehaa650
pubmed: 33141221
Eckardt KU et al (2013) Evolving importance of kidney disease: from subspecialty to global health burden. Lancet 382(9887):158–169
doi: 10.1016/S0140-6736(13)60439-0
pubmed: 23727165
Hill NR et al (2016) Global prevalence of chronic kidney disease—a systematic review and meta-analysis. PLoS ONE 11(7):e0158765
doi: 10.1371/journal.pone.0158765
pubmed: 27383068
Tonelli M et al (2006) Chronic kidney disease and mortality risk: a systematic review. J Am Soc Nephrol 17(7):2034–2047
doi: 10.1681/ASN.2005101085
pubmed: 16738019
Takahashi T et al (2022) Association between cardiovascular risk factors and left ventricular strain distribution in patients without previous cardiovascular disease. J Echocardiogr 20(4):208–215
doi: 10.1007/s12574-022-00576-7
pubmed: 35562627
Dilsizian V et al (2021) Cardiac imaging for coronary heart disease risk stratification in chronic kidney disease. JACC Cardiovasc Imaging 14(3):669–682
doi: 10.1016/j.jcmg.2020.05.035
pubmed: 32828780
Cimino S et al (2013) Global and regional longitudinal strain assessed by two-dimensional speckle tracking echocardiography identifies early myocardial dysfunction and transmural extent of myocardial scar in patients with acute ST elevation myocardial infarction and relatively preserved LV function. Eur Heart J Cardiovasc Imaging 14(8):805–811
doi: 10.1093/ehjci/jes295
pubmed: 23258316