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Chandramohan D, Rajasekaran R, Konda R, Pujari A, Avula S, Bell M, Palleti SK, Deotare A, Naik R, Bali A, Simhadri P, Arora H, Jena N. Cardiac Magnetic Resonance Imaging Findings in Patients With Chronic Kidney Disease and End-Stage Kidney Disease: A Systematic Review and Meta-Analysis. Cureus 2024; 16:e51672. [PMID: 38313918 PMCID: PMC10838180 DOI: 10.7759/cureus.51672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2024] [Indexed: 02/06/2024] Open
Abstract
In this systematic review and meta-analysis, we explored the utilization of cardiac magnetic resonance imaging (CMR) to detect fibrotic changes secondary to uremic cardiomyopathy during the early stages of chronic kidney disease (CKD) and in patients with end-stage kidney disease (ESKD). Uremic myocardial fibrosis can lead to arrhythmia and heart failure, and it is important to detect these changes. CMR offers a noninvasive way to characterize the severity of cardiac remodeling. A comprehensive search of multiple electronic databases was conducted. Studies were divided according to scanner field strength (1.5 or 3 Tesla). The random effects model was used to calculate the pooled mean, 95% confidence interval (CI), standard error, and standardized mean difference (SMD). The I2 statistic was used to assess the heterogeneity between study-specific estimates. The search retrieved 779 studies. From these, 20 studies met the inclusion criteria and had 642 CKD patients (mean age of 56.8 years; 65.2% males; mean estimated glomerular filtration rate (eGFR) of 33 mL/min/1.73 m2) and 658 ESKD patients on dialysis (mean age of 55.6 years; 63.3% males; mean dialysis duration of 3.47 years). CKD patients had an increased left ventricular mass index (LVMi) compared to controls, with an SMD of 0.37 (95% CI: 0.20-0.54; I2 0%; p-value <0.05). ESKD patients also had increased LVMi compared to controls, SMD 0.88 (95% CI: 0.35-1.41; I2 79.1%; p-value 0.001). Myocardial fibrosis assessment using T1 mapping showed elevated values; the SMD of native septal T1 values between CKD and controls was 1.099 (95% CI: 0.73-1.46; I2 33.6%; p-value <0.05), and the SMD of native septal T1 values between ESKD patients and controls was 1.12 (95% CI: 0.85-1.38; I2 33.69%; p-value <0.05). In conclusion, patients with CKD and ESKD with preserved left ventricular ejection fraction (LVEF) have higher LVMi and T1 values, indicating increased mass and fibrosis. T1 mapping can be used for the early detection of cardiomyopathy and as a risk stratification tool. Large, randomized trials are needed to confirm these findings and determine the effect of long-term dialysis on cardiac fibrosis.
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Affiliation(s)
| | - Rhoshini Rajasekaran
- General Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, IND
| | | | - Ashwini Pujari
- Nephrology, University of Alabama at Birmingham, Birmingham, USA
| | - Sreekant Avula
- Diabetes, Endocrinology, and Metabolism, University of Minnesota, Minneapolis, USA
| | - Megan Bell
- Libraries, University of Alabama at Birmingham, Birmingham, USA
| | - Sujith K Palleti
- Nephrology, Louisiana State University Health Sciences Center, Shreveport, USA
| | - Apoorv Deotare
- Nephrology, Montgomery Kidney Specialists, Montgomery, USA
| | - Roopa Naik
- Medicine, Geisinger Commonwealth School of Medicine, Scranton, USA
- Internal Medicine/Hospital Medicine, Geisinger Health System, Wilkes-Barre, USA
| | - Atul Bali
- Internal Medicine/Nephrology, Geisinger Medical Center, Danville, USA
- Internal Medicine/Nephrology, Geisinger Health System, Wilkes-Barre, USA
- Medicine, Geisinger Commonwealth School of Medicine, Scranton, USA
| | - Prathap Simhadri
- Internal Medicine/Nephrology, AdventHealth, Florida State University College of Medicine, Daytona Beach, USA
| | - Harkesh Arora
- Hospital Medicine, Lovelace Medical Center, Albuquerque, USA
| | - Nihar Jena
- Cardiovascular Medicine, Wayne State University, Pontiac, USA
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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.
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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
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Qin L, Gu S, Xiao R, Liu P, Yan F, Yu H, Yang W. Value of native T1 mapping in the prediction of major adverse cardiovascular events in hemodialysis patients. Eur Radiol 2022; 32:6878-6890. [PMID: 35554644 DOI: 10.1007/s00330-022-08839-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/14/2022] [Accepted: 04/25/2022] [Indexed: 12/13/2022]
Abstract
OBJECTIVES This study aimed to evaluate the association of myocardial characterization by native T1 mapping using cardiac MR (CMR) with the incidence of major adverse cardiovascular event (MACE) in end-stage renal dysfunction (ESRD) patients on hemodialysis. METHODS A total of 52 ESRD patients and 52 healthy individuals were prospectively recruited between June 2017 and June 2018. ESRD patients underwent CMR examinations post-hemodialysis for the evaluation of cardiac function and global native T1 mapping. Demographics, serum biomarkers, and coronary artery calcification were collected. MACE including all-caused death, and new onset of myocardial infarction, heart failure leading to hospitalization, fatal arrhythmia, and cardiac arrest was set as the endpoint. RESULTS During a median follow-up of 38.0 months, 13 patients (25.0%) reached the endpoints. Global native T1 mapping in patients on hemodialysis was significantly higher compared with that of healthy individuals (1280.3 ms ± 45.3 vs. 1238.2 ms ± 31.1, p < 0.001). In the univariate Cox regression analysis, global native T1 mapping (HR [hazard ratios]: 1.887, 95% CI [confidence interval]: 1.302-2.736, p = 0.001) was associated with the prediction of MACE. Multivariate Cox regression analysis demonstrated that global native T1 mapping (HR: 1.580, 95% CI: 1.112-2.244, p = 0.011) and age (HR: 1.088, 95% CI: 1.032-1.146, p = 0.002) were associated with the incidence of MACE after adjusting for other conventional risk factors. CONCLUSIONS Global native T1 mapping by CMR can potentially become a novel predictor of MACE in ESRD patients on hemodialysis, providing additional prognostic values over conventional risk factors. However, this conclusion should be validated in a larger sample size of hemodialysis patients. KEY POINTS • Global native T1 mapping was significantly higher in ESRD patients on hemodialysis compared with that of normal controls. • Global native T1 mapping was associated with myocardial enzymes, myocardial hypertrophy, coronary calcification, and cardiac function. • Global native T1 mapping value was independently predictive of MACE in hemodialysis patients, providing additional prognostic values over conventional risk factors.
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Affiliation(s)
- Le Qin
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Rd, Shanghai, 200025, China
| | - Shengjia Gu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Rd, Shanghai, 200025, China
| | - Ruijie Xiao
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Rd, Shanghai, 200025, China
| | - Peng Liu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Rd, Shanghai, 200025, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Rd, Shanghai, 200025, China
| | - Haijin Yu
- Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Rd, Shanghai, 200025, China.
| | - Wenjie Yang
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin 2nd Rd, Shanghai, 200025, China.
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Lin L, Zhou X, Dekkers IA, Lamb HJ. Cardiorenal Syndrome: Emerging Role of Medical Imaging for Clinical Diagnosis and Management. J Pers Med 2021; 11:734. [PMID: 34442378 PMCID: PMC8400880 DOI: 10.3390/jpm11080734] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 07/24/2021] [Accepted: 07/24/2021] [Indexed: 12/16/2022] Open
Abstract
Cardiorenal syndrome (CRS) concerns the interconnection between heart and kidneys in which the dysfunction of one organ leads to abnormalities of the other. The main clinical challenges associated with cardiorenal syndrome are the lack of tools for early diagnosis, prognosis, and evaluation of therapeutic effects. Ultrasound, computed tomography, nuclear medicine, and magnetic resonance imaging are increasingly used for clinical management of cardiovascular and renal diseases. In the last decade, rapid development of imaging techniques provides a number of promising biomarkers for functional evaluation and tissue characterization. This review summarizes the applicability as well as the future technological potential of each imaging modality in the assessment of CRS. Furthermore, opportunities for a comprehensive imaging approach for the evaluation of CRS are defined.
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Affiliation(s)
- Ling Lin
- Cardiovascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.L.); (I.A.D.); (H.J.L.)
| | - Xuhui Zhou
- Department of Radiology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen 510833, China
| | - Ilona A. Dekkers
- Cardiovascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.L.); (I.A.D.); (H.J.L.)
| | - Hildo J. Lamb
- Cardiovascular Imaging Group (CVIG), Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands; (L.L.); (I.A.D.); (H.J.L.)
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