1
|
Chen M, Chen X, Huang H, Wei Y, Wang L, Huang X. Left Ventricular Function in Patients on Maintenance Hemodialysis: A Three-Dimensional Speckle-Tracking Imaging Study. Cardiorenal Med 2023; 13:248-258. [PMID: 37586345 PMCID: PMC10664340 DOI: 10.1159/000531711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 06/05/2023] [Indexed: 08/18/2023] Open
Abstract
INTRODUCTION Although maintenance hemodialysis (MHD) in end-stage renal disease (ESRD) appears to induce some risk factors and strengthen cardiac function, the morbidity of ESRD patients receiving hemodialysis remains high. This study aimed to identify left ventricular (LV) structural and functional abnormalities in ESRD patients on MHD using three-dimensional speckle-tracking imaging (3D-STI). METHODS Eighty-five ESRD patients with normal LV ejection fraction (LVEF >50%) participated in this study, including 55 MHD patients comprising the chronic kidney disease (CKD) V-D group and 30 nondialysis patients comprising the CKD V-ND group. Thirty age- and sex-matched control participants who had normal kidney function were enrolled as the N group. Conventional echocardiography and 3D-STI were conducted, and global longitudinal strain (GLS), global circumferential strain (GCS), global area strain (GAS), and global radial strain (GRS) values were measured. RESULTS No substantial differences in two-dimensional LVEF were observed among the three groups, and LV hypertrophy was the most common abnormality in patients with ESRD, irrespective of whether they had received or not received MHD. There were no significant differences in the 3D LV mass index between the CKD V-ND and N groups (p > 0.05). Conversely, the 3D LV mass index was considerably higher in the CKD V-D group than in both the N and CKD V-ND groups. The GLS, GAS, and GRS values were significantly lower in the CKD V-ND group than in the N group (p < 0.05). Furthermore, the CKD V-D group had significantly lower GLS, GCS, GAS, and GRS values than the N and CKD V-ND groups (p < 0.05). The interventricular septal thickness and E/e' ratio were independently associated with LV strain values in all patients with ESRD. CONCLUSIONS MHD can exacerbate LV deformation and dysfunction in ESRD patients with preserved LVEF, and 3D-STI can be potentially useful for detecting these asymptomatic preclinical abnormalities.
Collapse
Affiliation(s)
- Meihua Chen
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China,
| | - Xiaojuan Chen
- Department of Clinical Lab, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Hanyin Huang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Yunpeng Wei
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Lehua Wang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Xuning Huang
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| |
Collapse
|
2
|
Valbuena-López SC, Camastra G, Cacciotti L, Nagel E, Puntmann VO, Arcari L. Cardiac Imaging Biomarkers in Chronic Kidney Disease. Biomolecules 2023; 13:biom13050773. [PMID: 37238643 DOI: 10.3390/biom13050773] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
Uremic cardiomyopathy (UC), the peculiar cardiac remodeling secondary to the systemic effects of renal dysfunction, is characterized by left ventricular (LV) diffuse fibrosis with hypertrophy (LVH) and stiffness and the development of heart failure and increased rates of cardiovascular mortality. Several imaging modalities can be used to obtain a non-invasive assessment of UC by different imaging biomarkers, which is the focus of the present review. Echocardiography has been largely employed in recent decades, especially for the determination of LVH by 2-dimensional imaging and diastolic dysfunction by pulsed-wave and tissue Doppler, where it retains a robust prognostic value; more recent techniques include parametric assessment of cardiac deformation by speckle tracking echocardiography and the use of 3D-imaging. Cardiac magnetic resonance (CMR) imaging allows a more accurate assessment of cardiac dimensions, including the right heart, and deformation by feature-tracking imaging; however, the most evident added value of CMR remains tissue characterization. T1 mapping demonstrated diffuse fibrosis in CKD patients, increasing with the worsening of renal disease and evident even in early stages of the disease, with few, but emerging, prognostic data. Some studies using T2 mapping highlighted the presence of subtle, diffuse myocardial edema. Finally, computed tomography, though rarely used to specifically assess UC, might provide incidental findings carrying prognostic relevance, including information on cardiac and vascular calcification. In summary, non-invasive cardiovascular imaging provides a wealth of imaging biomarkers for the characterization and risk-stratification of UC; integrating results from different imaging techniques can aid a better understanding of the physiopathology of UC and improve the clinical management of patients with CKD.
Collapse
Affiliation(s)
| | - Giovanni Camastra
- Cardiology Unit, Madre Giuseppina Vannini Hospital, 00177 Rome, Italy
| | - Luca Cacciotti
- Cardiology Unit, Madre Giuseppina Vannini Hospital, 00177 Rome, Italy
| | - Eike Nagel
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Valentina O Puntmann
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
| | - Luca Arcari
- Cardiology Unit, Madre Giuseppina Vannini Hospital, 00177 Rome, Italy
| |
Collapse
|
3
|
Jia X, Han X, Wang Y, He F, Zhou X, Zheng Y, Guo Y, Xu R, Liu J, Li Y, Gu J, Cao Y, Zhang C, Shi H. Cardiac magnetic resonance imaging parameters show association between myocardial abnormalities and severity of chronic kidney disease. Front Cardiovasc Med 2022; 9:1053122. [PMID: 36465471 PMCID: PMC9712745 DOI: 10.3389/fcvm.2022.1053122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 11/02/2022] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Chronic kidney disease patients have increased risk of cardiovascular abnormalities. This study investigated the relationship between cardiovascular abnormalities and the severity of chronic kidney disease using cardiac magnetic resonance imaging. METHODS We enrolled 84 participants with various stages of chronic kidney disease (group I: stages 1-3, n = 23; group II: stages 4-5, n = 20; group III: hemodialysis patients, n = 41) and 32 healthy subjects. The demographics and biochemical parameters of the study subjects were evaluated. All subjects underwent non-contrast cardiac magnetic resonance scans. Myocardial strain, native T1, and T2 values were calculated from the scanning results. Analysis of covariance was used to compare the imaging parameters between group I-III and the controls. RESULTS The left ventricular ejection fraction (49 vs. 56%, p = 0.021), global radial strain (29 vs. 37, p = 0.019) and global circumferential strain (-17.4 vs. -20.6, p < 0.001) were significantly worse in group III patients compared with the controls. Furthermore, the global longitudinal strain had a significant decline in group II and III patients compared with the controls (-13.7 and -12.9 vs. -16.2, p < 0.05). Compared with the controls, the native T1 values were significantly higher in group II and III patients (1,041 ± 7 and 1,053 ± 6 vs. 1,009 ± 6, p < 0.05), and T2 values were obviously higher in group I-III patients (49.9 ± 0.6 and 53.2 ± 0.7 and 50.1 ± 0.5 vs. 46.6 ± 0.5, p < 0.001). The advanced chronic kidney disease stage showed significant positive correlation with global radial strain (r = 0.436, p < 0.001), global circumferential strain (r = 0.386, p < 0.001), native T1 (r = 0.5, p < 0.001) and T2 (r = 0.467, p < 0.001) values. In comparison with the group II patients, hemodialysis patients showed significantly lower T2 values (53.2 ± 0.7 vs. 50.1 ± 0.5, p = 0.002), but no significant difference in T1 values (1,041 ± 7 vs. 1,053 ± 6). CONCLUSIONS Our study showed that myocardial strain, native T1, and T2 values progressively got worse with advancing chronic kidney disease stage. The increased T1 values and decreased T2 values of hemodialysis patients might be due to increasing myocardial fibrosis but with reduction in oedema following effective fluid management. TRIAL REGISTRATION NUMBER ChiCTR2100053561 (http://www.chictr.org.cn/edit.aspx?pid=139737&htm=4).
Collapse
Affiliation(s)
- Xi Jia
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Xiaoyu Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yuqin Wang
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fangfang He
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyue Zhou
- MR Collaborations, Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China
| | - Yuting Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yingkun Guo
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Rong Xu
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jia Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yumin Li
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jin Gu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yukun Cao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Chun Zhang
- Department of Nephrology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Heshui Shi
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| |
Collapse
|
4
|
Arcari L, Camastra G, Ciolina F, Danti M, Cacciotti L. T1 and T2 Mapping in Uremic Cardiomyopathy: An Update. Card Fail Rev 2022; 8:e02. [PMID: 35111336 PMCID: PMC8790724 DOI: 10.15420/cfr.2021.19] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 11/15/2021] [Indexed: 11/04/2022] Open
Abstract
Uremic cardiomyopathy (UC) is the cardiac remodelling that occurs in patients with chronic kidney disease (CKD). It is characterised by a left ventricular (LV) hypertrophy phenotype, diastolic dysfunction and generally preserved LV ejection fraction. UC has a major role mediating the increased rate of cardiovascular events, especially heart failure related, observed in patients with CKD. Recently, the use of T1 and T2 mapping techniques on cardiac MRI has expanded the ability to characterise cardiac involvement in CKD. Native T1 mapping effectively tracks the progression of interstitial fibrosis in UC, whereas T2 mapping analysis suggests the contribution of myocardial oedema, at least in a subgroup of patients. Both T1 and T2 increased values were related to worsening clinical status, myocardial injury and B-type natriuretic peptide release. Studies investigating the prognostic relevance and histology validation of mapping techniques in CKD are awaited.
Collapse
Affiliation(s)
- Luca Arcari
- Cardiology Unit, Madre Giuseppina Vannini Hospital, Rome, Italy
| | | | | | | | - Luca Cacciotti
- Cardiology Unit, Madre Giuseppina Vannini Hospital, Rome, Italy
| |
Collapse
|
5
|
Azukaitis K, Jankauskiene A, Schaefer F, Shroff R. Pathophysiology and consequences of arterial stiffness in children with chronic kidney disease. Pediatr Nephrol 2021; 36:1683-1695. [PMID: 32894349 DOI: 10.1007/s00467-020-04732-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 07/16/2020] [Accepted: 07/28/2020] [Indexed: 12/20/2022]
Abstract
Changes in arterial structure and function are seen early in the course of chronic kidney disease (CKD) and have been causally associated with cardiovascular (CV) morbidity. Numerous potential injuries encompassing both traditional and uremia-specific CV risk factors can induce structural arterial changes and accelerate arterial stiffening. When the buffering capacity of the normally elastic arteries is reduced, damage to vulnerable microcirculatory beds can occur. Moreover, the resultant increase to cardiac afterload contributes to the development of left ventricular hypertrophy and cardiac dysfunction. Adult studies have linked arterial stiffness with increased risk of mortality, CV events, cognitive decline, and CKD progression. Pulse wave velocity (PWV) is currently the gold standard of arterial stiffness assessment but its measurement in children is challenging due to technical difficulties and physiologic aspects related to growth and poor standardization between algorithms for calculating PWV. Nevertheless, studies in pediatric CKD have reported increased arterial stiffness in children with advanced CKD, on dialysis, and after kidney transplantation. Development of arterial stiffness in children with CKD is closely related to mineral-bone disease and hypertension, but other factors may also play a significant role. The clinical relevance of accelerated arterial stiffness in childhood on cardiovascular outcomes in adult life remains unclear, and prospective studies are needed. In this review we discuss mechanisms leading to arterial stiffness in CKD and its clinical implications, along with issues surrounding the technical aspects of arterial stiffness assessment in children.
Collapse
Affiliation(s)
- Karolis Azukaitis
- Clinic of Pediatrics, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariskiu 4, 08406, Vilnius, Lithuania.
| | - Augustina Jankauskiene
- Clinic of Pediatrics, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Santariskiu 4, 08406, Vilnius, Lithuania
| | - Franz Schaefer
- Division of Pediatric Nephrology, Center for Pediatrics and Adolescent Medicine, Heidelberg University, Heidelberg, Germany
| | - Rukshana Shroff
- Great Ormond Street Hospital for Children NHS Foundation Trust, University College London, Institute of Child Health, London, UK
| |
Collapse
|
6
|
Arcari L, Engel J, Freiwald T, Zhou H, Zainal H, Gawor M, Buettner S, Geiger H, Hauser I, Nagel E, Puntmann VO. Cardiac biomarkers in chronic kidney disease are independently associated with myocardial edema and diffuse fibrosis by cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2021; 23:71. [PMID: 34092229 PMCID: PMC8183054 DOI: 10.1186/s12968-021-00762-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 04/28/2021] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND High sensitivity cardiac troponin T (hs-cTnT) and NT-pro-brain natriuretic peptide (NT-pro BNP) are often elevated in chronic kidney disease (CKD) and associated with both cardiovascular remodeling and outcome. Relationship between these biomarkers and quantitative imaging measures of myocardial fibrosis and edema by T1 and T2 mapping remains unknown. METHODS Consecutive patients with established CKD and estimated glomerular filtration rate (eGFR) < 59 ml/min/1.73 m2 (n = 276) were compared to age/sex matched patients with eGFR ≥ 60 ml/min/1.73 m2 (n = 242) and healthy controls (n = 38). Comprehensive cardiovascular magnetic resonance (CMR) with native T1 and T2 mapping, myocardial ischemia and scar imaging was performed with venous sampling immediately prior to CMR. RESULTS Patients with CKD showed significant cardiac remodeling in comparison with both healthy individuals and non-CKD patients, including a stepwise increase of native T1 and T2 (p < 0.001 between all CKD stages). Native T1 and T2 were the sole imaging markers independently associated with worsening CKD in patients [B = 0.125 (95% CI 0.022-0.235) and B = 0.272 (95% CI 0.164-0.374) with p = 0.019 and < 0.001 respectively]. At univariable analysis, both hs-cTnT and NT-pro BNP significantly correlated with native T1 and T2 in groups with eGFR 30-59 ml/min/1.73 m2 and eGFR < 29 ml/min/1.73 m2 groups, with associations being stronger at lower eGFR (NT-pro BNP (log transformed, lg10): native T1 r = 0.43 and r = 0.57, native T2 r = 0.39 and r = 0.48 respectively; log-transformed hs-cTnT(lg10): native T1 r = 0.23 and r = 0.43, native T2 r = 0.38 and r = 0.58 respectively, p < 0.001 for all, p < 0.05 for interaction). On multivariable analyses, we found independent associations of native T1 with NT-pro BNP [(B = 0.308 (95% CI 0.129-0.407), p < 0.001 and B = 0.334 (95% CI 0.154-0.660), p = 0.002 for eGFR 30-59 ml/min/1.73 m2 and eGFR < 29 ml/min/1.73 m2, respectively] and of T2 with hs-cTnT [B = 0.417 (95% CI 0.219-0.650), p < 0.001 for eGFR < 29 ml/min/1.73 m2]. CONCLUSIONS We demonstrate independent associations between cardiac biomarkers with imaging markers of interstitial expansion, which are CKD-group specific. Our findings indicate the role of diffuse non-ischemic tissue processes, including excess of myocardial fluid in addition to diffuse fibrosis in CKD-related adverse remodeling.
Collapse
Affiliation(s)
- Luca Arcari
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
- Cardiology Unit, Clinical and Molecular Medicine Department, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Juergen Engel
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Tilo Freiwald
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Hui Zhou
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
- Department of Radiology, XiangYa Hospital, Central South University, Changsha, Hunan, China
| | - Hafisyatul Zainal
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
- Department of Cardiology, Universiti Teknologi MARA (UiTM), Sg. Buloh, Malaysia
| | - Monika Gawor
- Department of Cardiology, University Hospital Warsaw, Warsaw, Poland
| | - Stefan Buettner
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Helmut Geiger
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ingeborg Hauser
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Eike Nagel
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Valentina O Puntmann
- Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
| |
Collapse
|
7
|
Patil S, Choudhary S. Deep convolutional neural network for chronic kidney disease prediction using ultrasound imaging. BIO-ALGORITHMS AND MED-SYSTEMS 2021. [DOI: 10.1515/bams-2020-0068] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Abstract
Objectives
Chronic kidney disease (CKD) is a common disease and it is related to a higher risk of cardiovascular disease and end-stage renal disease that can be prevented by the earlier recognition and diagnosis of individuals at risk. Even though risk factors for CKD have been recognized, the effectiveness of CKD risk classification via prediction models remains uncertain. This paper intends to introduce a new predictive model for CKD using US image.
Methods
The proposed model includes three main phases “(1) preprocessing, (2) feature extraction, (3) and classification.” In the first phase, the input image is subjected to preprocessing, which deploys image inpainting and median filtering processes. After preprocessing, feature extraction takes place under four cases; (a) texture analysis to detect the characteristics of texture, (b) proposed high-level feature enabled local binary pattern (LBP) extraction, (c) area based feature extraction, and (d) mean intensity based feature extraction. These extracted features are then subjected for classification, where “optimized deep convolutional neural network (DCNN)” is used. In order to make the prediction more accurate, the weight and the activation function of DCNN are optimally chosen by a new hybrid model termed as diversity maintained hybrid whale moth flame optimization (DM-HWM) model.
Results
The accuracy of adopted model at 40th training percentage was 44.72, 11.02, 5.59, 3.92, 3.92, 3.57, 2.59, 1.71, 1.68, and 0.42% superior to traditional artificial neural networks (ANN), support vector machine (SVM), NB, J48, NB-tree, LR, composite hypercube on iterated random projection (CHIRP), CNN, moth flame optimization (MFO), and whale optimization algorithm (WOA) models.
Conclusions
Finally, the superiority of the adopted scheme is validated over other conventional models in terms of various measures.
Collapse
Affiliation(s)
- Smitha Patil
- Research Scholar, VTU , RC Sir MVIT , Bengaluru , India
- Assistant Professor, Presidency University , Bengaluru , India
| | | |
Collapse
|
8
|
Kaolawanich Y, Boonyasirinant T. Impact of aortic stiffness by velocity-encoded magnetic resonance imaging on late gadolinium enhancement to predict cardiovascular events. INTERNATIONAL JOURNAL OF CARDIOLOGY. HEART & VASCULATURE 2020; 30:100635. [PMID: 33015313 PMCID: PMC7522332 DOI: 10.1016/j.ijcha.2020.100635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/04/2020] [Accepted: 09/07/2020] [Indexed: 11/16/2022]
Abstract
Background Increased aortic stiffness has been established as a marker in various cardiovascular diseases. Previous reports revealed a significant correlation between aortic stiffness and myocardial scarring using the late gadolinium enhancement cardiovascular magnetic resonance (LGE-CMR). However, prognostic data concerning aortic stiffness combining myocardial scarring remains limited. Method A total of 402 patients who had undergone clinical CMR for the evaluation of cardiac function, LGE, and aortic pulse wave velocity (PWV) using velocity encoded-CMR (VE-CMR) were included. Patients were classified into 4 groups using mean PWV and the presence of LGE as elevated or non-elevated PWV and positive or negative LGE. Patients received follow-up for major adverse cardiovascular events (MACE) comprising cardiovascular death, non-fatal myocardial infarction, hospitalization for heart failure, coronary revascularization, and ischemic stroke. Predictors of MACE and hard cardiac events (cardiovascular death or non-fatal myocardial infarction) were evaluated. Results During the average follow-up period of 47.7 months, 58 MACE occurred. Patients who had elevated PWV and positive LGE experienced the highest rate of MACE compared to the group with non-elevated PWV and negative LGE (HR 11.90, p < 0.001). Among patients who had LGE, those who had elevated PWV experienced a 2.4-times higher rate of MACE compared to those who had non-elevated PWV. Multivariate analysis showed that PWV and LGE were independent predictors of MACE and hard cardiac events. PWV had excellent intra- and inter-observer reproducibility (intra-: ICC = 0.98, p < 0.001, inter-: ICC = 0.97, p < 0.001). Conclusion Aortic stiffness using VE-CMR had prognostic value to predict cardiovascular events, with the added benefits of LGE.
Collapse
Key Words
- Aortic stiffness
- CI, confidence interval
- CMR, cardiovascular magnetic resonance
- Cardiovascular magnetic resonance imaging
- FOV, field of view
- HR, hazard ratio
- LA, left atrial/atrium
- LGE, late gadolinium enhancement
- LVEF, left ventricular ejection fraction
- Late gadolinium enhancement
- MACE, major adverse cardiovascular events
- PWV, pulse wave velocity
- Prognosis
- SD, standard deviation
- STEMI, ST-elevation myocardial infarction
- T, tesla
- TE, echo time
- TR, repetition time
- VE, velocity-encoded
Collapse
Affiliation(s)
- Yodying Kaolawanich
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Thananya Boonyasirinant
- Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| |
Collapse
|
9
|
Aortic Stiffness and Heart Failure in Chronic Kidney Disease. CURRENT CARDIOVASCULAR IMAGING REPORTS 2020. [DOI: 10.1007/s12410-020-9534-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Abstract
Purpose of Review
To provide an update on the recent findings in the field of aortic stiffness and heart failure in patients with chronic kidney disease (CKD).
Recent Findings
Stratification of cardiovascular risk in CKD remains an open question. Recent reports suggest that aortic stiffness, an independent predictor of cardiovascular events in many patient populations, is also an important prognostic factor in CKD. Also, novel measures of myocardial tissue characterization, native T1 and T2 mapping techniques, have potential as diagnostic and prognostic factors in CKD.
Summary
Cardiovascular magnetic resonance has the ability to thoroughly evaluate novel imaging markers: aortic stiffness, native T1, and native T2. Novel imaging markers can be used for diagnostic and prognostic purposes as well as potential therapeutic targets in CKD population.
Collapse
|
10
|
Kaesler N, Babler A, Floege J, Kramann R. Cardiac Remodeling in Chronic Kidney Disease. Toxins (Basel) 2020; 12:toxins12030161. [PMID: 32150864 PMCID: PMC7150902 DOI: 10.3390/toxins12030161] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/02/2020] [Accepted: 03/03/2020] [Indexed: 12/19/2022] Open
Abstract
Cardiac remodeling occurs frequently in chronic kidney disease patients and affects quality of life and survival. Current treatment options are highly inadequate. As kidney function declines, numerous metabolic pathways are disturbed. Kidney and heart functions are highly connected by organ crosstalk. Among others, altered volume and pressure status, ischemia, accelerated atherosclerosis and arteriosclerosis, disturbed mineral metabolism, renal anemia, activation of the renin-angiotensin system, uremic toxins, oxidative stress and upregulation of cytokines stress the sensitive interplay between different cardiac cell types. The fatal consequences are left-ventricular hypertrophy, fibrosis and capillary rarefaction, which lead to systolic and/or diastolic left-ventricular failure. Furthermore, fibrosis triggers electric instability and sudden cardiac death. This review focuses on established and potential pathophysiological cardiorenal crosstalk mechanisms that drive uremia-induced senescence and disease progression, including potential known targets and animal models that might help us to better understand the disease and to identify novel therapeutics.
Collapse
Affiliation(s)
- Nadine Kaesler
- Clinic for Renal and Hypertensive Disorders, Rheumatological and Immunological Disease, University Hospital of the RWTH Aachen, 52074 Aachen, Germany
| | - Anne Babler
- Clinic for Renal and Hypertensive Disorders, Rheumatological and Immunological Disease, University Hospital of the RWTH Aachen, 52074 Aachen, Germany
| | - Jürgen Floege
- Clinic for Renal and Hypertensive Disorders, Rheumatological and Immunological Disease, University Hospital of the RWTH Aachen, 52074 Aachen, Germany
| | - Rafael Kramann
- Clinic for Renal and Hypertensive Disorders, Rheumatological and Immunological Disease, University Hospital of the RWTH Aachen, 52074 Aachen, Germany
- Department of Internal Medicine, Nephrology and Transplantation, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands
- Correspondence:
| |
Collapse
|
11
|
Arcari L, Hinojar R, Engel J, Freiwald T, Platschek S, Zainal H, Zhou H, Vasquez M, Keller T, Rolf A, Geiger H, Hauser I, Vogl TJ, Zeiher AM, Volpe M, Nagel E, Puntmann VO. Native T1 and T2 provide distinctive signatures in hypertrophic cardiac conditions - Comparison of uremic, hypertensive and hypertrophic cardiomyopathy. Int J Cardiol 2020; 306:102-108. [PMID: 32169347 DOI: 10.1016/j.ijcard.2020.03.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 02/26/2020] [Accepted: 03/02/2020] [Indexed: 02/06/2023]
Abstract
AIMS Profound left ventricular (LV) hypertrophy with diastolic dysfunction and heart failure is the cardinal manifestation of heart remodelling in chronic kidney disease (CKD). Previous studies related increased T1 mapping values in CKD with diffuse fibrosis. Native T1 is a non-specific readout that may also relate to increased intramyocardial fluid. We examined concomitant T1 and T2 mapping signatures and undertook comparisons with other hypertrophic conditions. METHODS In this prospective multicentre study, consecutive CKD patients (n = 154) undergoing routine clinical cardiac magnetic resonance (CMR) imaging were compared with patients with hypertensive (HTN, n = 163) and hypertrophic cardiomyopathy (HCM, n = 158), and normotensive controls (n = 133). RESULTS Native T1 was significantly higher in all patient groups, whereas native T2 in CKD only (p < 0.001 vs. all groups). Native T1 and T2 were interrelated in patient groups and the strength of association was condition-specific (CKD r = 0.558, HTN r = 0.324, both p < 0.001; HCM r = 0.157, p = 0.05). Native T1 and T2 were similarly correlated in all CKD stages (S3 r = 0.501, S4 0.586, S5 r = 0.424, p < 0.001 for all). Native T1 was the strongest myocardial discriminator between patients and controls (area under the curve, AUC HCM: 0.97; CKD: 0.97, HTN 0.98), native T2 between CKD vs HCM (AUC 0.90) and native T1 and T2 between CKD vs HTN (AUC: 0.83 and 0.80 respectively), p < 0.001 for all. CONCLUSIONS Our findings reveal different CMR signatures of common hypertrophic cardiac phenotypes. Native T1 was raised in all conditions, indicating the presence of pathologic hypertrophic remodelling. Markedly raised native T2 was CKD-specific, suggesting a prominent role of intramyocardial fluid.
Collapse
Affiliation(s)
- Luca Arcari
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany; Cardiology Unit, Clinical and Molecular Medicine Department, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Rocio Hinojar
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Cardiology, University Hospital Ramón y Cajal, Madrid, Spain
| | - Juergen Engel
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfuret-am Main, Germany
| | - Tilo Freiwald
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfuret-am Main, Germany
| | - Steffen Platschek
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfuret-am Main, Germany
| | - Hafisyatul Zainal
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Cardiology, Universiti Teknologi MARA (UiTM), Sg. Buloh, Malaysia
| | - Hui Zhou
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Radiology, XiangYa Hospital, Central South University, Changsha, Hunan, China
| | - Moises Vasquez
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Cardiology, Enrique Baltodano Briceño Hospital, Liberia, Costa Rica
| | - Till Keller
- Department of Cardiology, Kerckhoff Hospital, University Giessen, Bad Nauheim, Germany
| | - Andreas Rolf
- Department of Cardiology, Kerckhoff Hospital, University Giessen, Bad Nauheim, Germany
| | - Helmut Geiger
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfuret-am Main, Germany
| | - Ingeborg Hauser
- Department of Nephrology, Goethe University Hospital Frankfurt, Frankfuret-am Main, Germany
| | - Thomas J Vogl
- Department of Radiology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany
| | - Andreas M Zeiher
- Department of Radiology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany
| | - Massimo Volpe
- Cardiology Unit, Clinical and Molecular Medicine Department, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, Italy
| | - Eike Nagel
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Valentina O Puntmann
- Institute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany; Department of Cardiology, Goethe University Hospital Frankfurt, Frankfurt-am Main, Germany.
| |
Collapse
|
12
|
|