1
|
Iyer NR, Chan SP, Liew OW, Chong JPC, Bryant JA, Le TT, Chandramouli C, Cozzone PJ, Eisenhaber F, Foo R, Richards AM, Lam CSP, Ugander M, Chin CWL. Global longitudinal strain and plasma biomarkers for prognosis in heart failure complicated by diabetes: a prospective observational study. BMC Cardiovasc Disord 2024; 24:141. [PMID: 38443793 PMCID: PMC10913625 DOI: 10.1186/s12872-024-03810-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 02/22/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Heart failure (HF) and diabetes are associated with increased incidence and worse prognosis of each other. The prognostic value of global longitudinal strain (GLS) measured by cardiovascular magnetic resonance (CMR) has not been established in HF patients with diabetes. METHODS In this prospective, observational study, consecutive patients (n = 315) with HF underwent CMR at 3T, including GLS, late gadolinium enhancement (LGE), native T1, and extracellular volume fraction (ECV) mapping. Plasma biomarker concentrations were measured including: N-terminal pro B-type natriuretic peptide(NT-proBNP), high-sensitivity troponin T(hs-TnT), growth differentiation factor 15(GDF-15), soluble ST2(sST2), and galectin 3(Gal-3). The primary outcome was a composite of all-cause mortality or HF hospitalisation. RESULTS Compared to those without diabetes (n = 156), the diabetes group (n = 159) had a higher LGE prevalence (76 vs. 60%, p < 0.05), higher T1 (1285±42 vs. 1269±42ms, p < 0.001), and higher ECV (30.5±3.5 vs. 28.8±4.1%, p < 0.001). The diabetes group had higher NT-pro-BNP, hs-TnT, GDF-15, sST2, and Gal-3. Diabetes conferred worse prognosis (hazard ratio (HR) 2.33 [95% confidence interval (CI) 1.43-3.79], p < 0.001). In multivariable Cox regression analysis including clinical markers and plasma biomarkers, sST2 alone remained independently associated with the primary outcome (HR per 1 ng/mL 1.04 [95% CI 1.02-1.07], p = 0.001). In multivariable Cox regression models in the diabetes group, both GLS and sST2 remained prognostic (GLS: HR 1.12 [95% CI 1.03-1.21], p = 0.01; sST2: HR per 1 ng/mL 1.03 [95% CI 1.00-1.06], p = 0.02). CONCLUSIONS Compared to HF patients without diabetes, those with diabetes have worse plasma and CMR markers of fibrosis and a more adverse prognosis. GLS by CMR is a powerful and independent prognostic marker in HF patients with diabetes.
Collapse
Affiliation(s)
- Nithin R Iyer
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Kolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, Australia
| | - Siew-Pang Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Oi Wah Liew
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jenny P C Chong
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jennifer A Bryant
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
| | - Thu-Thao Le
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Cardiovascular Sciences ACP, Duke-NUS Medical School, Singapore, Singapore
| | - Chanchal Chandramouli
- National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Patrick J Cozzone
- Agency for Science, Technology and Research, Singapore Bioimaging Consortium, Singapore, Singapore
| | - Frank Eisenhaber
- Bioinformatics Institute, Agency for Science, Technology and Research, Singapore, Singapore
- LASA - Lausitz Advanced Scientific Applications gGmbH, Weißwasser, Germany
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Roger Foo
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Agency for Science, Technology and Research, Genome Institute of Singapore, Singapore, Singapore
| | - A Mark Richards
- Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Christchurch Heart Institute, University of Otago, Christchurch, New Zealand
| | - Carolyn S P Lam
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- National Heart Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- University Medical Centre Groningen, Groningen, The Netherlands
| | - Martin Ugander
- Kolling Institute, Royal North Shore Hospital, University of Sydney, Sydney, Australia
- Department of Clinical Physiology, Karolinska University Hospital, and Karolinska Institutet, Stockholm, Sweden
| | - Calvin W-L Chin
- Cardiovascular Sciences ACP, Duke-NUS Medical School, Singapore, Singapore.
- National Heart Centre Singapore, Singapore, Singapore.
| |
Collapse
|
2
|
Waller AH, Gardin JM. Does Left Ventricular Mass Have Additional Diagnostic Value in Severe Aortic Stenosis? Am J Cardiol 2023; 207:302-304. [PMID: 37782968 DOI: 10.1016/j.amjcard.2023.09.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 10/04/2023]
Affiliation(s)
- Alfonso H Waller
- Division of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Julius M Gardin
- Division of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey.
| |
Collapse
|
3
|
Garg I, Grist TM, Nagpal P. MR Angiography for Aortic Diseases. Magn Reson Imaging Clin N Am 2023; 31:373-394. [PMID: 37414467 DOI: 10.1016/j.mric.2023.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Aortic pathologic conditions represent diverse disorders, including aortic aneurysm, acute aortic syndrome, traumatic aortic injury, and atherosclerosis. Given the nonspecific clinical features, noninvasive imaging is critical in screening, diagnosis, management, and posttherapeutic surveillance. Of the commonly used imaging modalities, including ultrasound, computed tomography, and MR imaging, the final choice often depends on a combination of factors: acuity of clinical presentation, suspected underlying diagnosis, and institutional practice. Further research is needed to identify the potential clinical role and define appropriate use criteria for advanced MR applications such as four-dimenional flow to manage patients with aortic pathologic conditions.
Collapse
Affiliation(s)
- Ishan Garg
- Department of Internal Medicine, University of New Mexico Health Sciences Center, 1 University Of New Mexico, Albuquerque, NM 87131, USA
| | - Thomas M Grist
- Department of Radiology, University of Wisconsin-Madison, E3/366 Clinical Science Center 600 Highland Avenue Madison, WI 53792, USA
| | - Prashant Nagpal
- Cardiovascular and Thoracic Radiology, University of Wisconsin School of Medicine and Public Health, E3/366 Clinical Science Center, 600 Highland Avenue, Madison, WI 53792, USA.
| |
Collapse
|
4
|
Zhang Y, Zhu Y, Wang D, Xu L, Jiang W, Wang J, Sun X, Kang L, Song L. Cardiac index: A superior parameter of cardiac function than left ventricular ejection fraction in risk stratification of hypertrophic cardiomyopathy. Heart Rhythm 2023:S1547-5271(23)00212-6. [PMID: 36870381 DOI: 10.1016/j.hrthm.2023.02.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 02/18/2023] [Accepted: 02/25/2023] [Indexed: 03/06/2023]
Abstract
BACKGROUND An appropriate indicator of cardiac function in the risk stratification of hypertrophic cardiomyopathy (HCM) patients is urgently needed. Cardiac index that reflects cardiac pumping function may be suitable. OBJECTIVE The purpose of this study was to investigate the clinical significance of reduced cardiac index in HCM patients. METHODS A total of 927 HCM patients were enrolled. The primary endpoint was cardiovascular death. The secondary endpoints were sudden cardiac death (SCD) and all-cause death. Combination models were constructed by adding reduced cardiac index and reduced left ventricular ejection fraction (LVEF) to the HCM risk-SCD model. Predictive accuracy was determined by C-statistics. RESULTS Reduced cardiac index was defined as cardiac index ≤2.42 L/min/m2. During median follow-up of 4.3 years, 51 patients reached the endpoint. Reduced cardiac index independently increased the risk of cardiovascular death (adjusted hazard ratio [aHR] 2.976; P = .007), SCD (aHR 6.385; P = .001), and all-cause death (aHR 2.428; P = .010). By adding reduced cardiac index to the HCM risk-SCD model, the model C-statistic increased from 0.691 to 0.762, with an integrated discrimination improvement of 0.021 (P = .018) and a net reclassification improvement of 0.560 (P = .007). The addition of reduced LVEF failed to improve the original model. Better predictive accuracy for all endpoints was also indicated in reduced cardiac index than in reduced LVEF. CONCLUSION Reduced cardiac index is an independent predictor of poor prognoses in HCM patients. Combining reduced cardiac index rather than reduced LVEF improved the HCM risk-SCD stratification strategy. The reduced cardiac index showed better predictive accuracy than reduced LVEF for all endpoints.
Collapse
Affiliation(s)
- Yu Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuming Zhu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dong Wang
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lianjun Xu
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wen Jiang
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jizheng Wang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaolu Sun
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Lianming Kang
- Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Lei Song
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Cardiomyopathy Ward, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| |
Collapse
|
5
|
Xiang X, Lin X, Zhang B, Lin C, Lei J, Guo S, Zhao S. Microvascular Dysfunction Associates With Outcomes in Hypertrophic Cardiomyopathy: Insights From the Intravoxel Incoherent Motion MRI. J Magn Reson Imaging 2022; 57:1766-1775. [PMID: 36200627 DOI: 10.1002/jmri.28450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 09/13/2022] [Accepted: 09/15/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Although intravoxel incoherent motion (IVIM) MRI has emerged as an in vivo marker of tissue diffusion and perfusion, its prognostic value in patients with hypertrophic cardiomyopathy (HCM) remains unclear. PURPOSE To investigate whether IVIM-MRI derived parameters are associated with outcomes in patients with HCM. STUDY TYPE Prospective cohort. SUBJECTS A total of 112 patients (51.72 ± 17.13 years) with suspected or known HCM. FIELD STRENGTH/SEQUENCE Single-shot echo planar IVIM imaging, balanced steady-state free precession, and phase-sensitive inversion-recovery late gadolinium enhancement (LGE) sequences at 3 T. ASSESSMENT All patients were followed up of 29.3 ± 12.3 months for combined major adverse cardiac events (MACE) including cardiac death, aborted sudden death, heart transplantation, and rehospitalization for heart failure. The CVI42 imaging platform was used to assess morphological and functional MRI indices and to quantify LGE. The Body Diffusion Toolbox was used to derive pseudo diffusion (D*), water molecular diffusion (D) and perfusion fraction (f). STATISTICAL TESTS Univariable and stepwise multivariable Cox model analyses were used to investigate the association between variables and composite endpoints. Kaplan-Meier curves were constructed to assess event-free survival, and the event rates were compared by the log-rank test. RESULTS A total of 19 patients reached endpoints. Patients with MACE showed a significantly impaired D* value, lower f value, and more extensive LGE than those without MACE (all, P < 0.05), while there was no significant difference in D value (P = 0.285). In the Cox regression models, D* value (hazard ratio [HR] 0.93; 95% CI: 0.88-0.98) and f value (HR 0.65; 95% CI: 0.45-0.92) were independent predictors for MACE. Moreover, in Kaplan-Meier survival analysis, the incidence of MACE was significantly higher in patients with decreased D* value and f value. CONCLUSIONS Impaired D* and f values derived from IVIM-MRI are associated with adverse outcomes in patients with HCM. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY STAGE: 2.
Collapse
Affiliation(s)
- Xiaorui Xiang
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Xiaoqiang Lin
- Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Baoteng Zhang
- Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Chen Lin
- Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Junqiang Lei
- Clinical Medical College, Lanzhou University, Lanzhou, China.,Department of Radiology, First Hospital of Lanzhou University, Lanzhou, China
| | - Shunlin Guo
- Clinical Medical College, Lanzhou University, Lanzhou, China.,Department of Radiology, First Hospital of Lanzhou University, Lanzhou, China
| | - Shihua Zhao
- Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
6
|
Hirschberg K, Braun SM, Paul O, Ochs M, Riffel J, Andre F, Salatzki J, Lebel J, Luu J, Hillier E, Finster M, Vago H, Merkely B, Katus HA, Friedrich MG. The diagnostic accuracy of truncated cardiovascular MR protocols for detecting non-ischemic cardiomyopathies. Int J Cardiovasc Imaging 2022; 38:841-852. [PMID: 34751885 PMCID: PMC11129993 DOI: 10.1007/s10554-021-02462-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 10/27/2021] [Indexed: 11/28/2022]
Abstract
Cardiovascular magnetic resonance imaging is one of the most important diagnostic modalities in the evaluation of cardiomyopathies. However, significant limitations are the complex and time-consuming workflows and the need of contrast agents. The aim of this multi-center retrospective study was to assess workflows and diagnostic value of a short, contrast agent-free cardiac magnetic resonance protocol. 160 patients from Heidelberg, Germany and 119 patients from Montreal, Canada with suspected cardiomyopathy and 20 healthy volunteers have been enrolled. Scans were performed at a 1.5Tesla or 3Tesla scanner in Heidelberg and at a 3Tesla scanner in Montreal. We used single-slice T1 map only. A stepwise analysis of images has been performed. The possible differential diagnosis after each step has been defined. T1-values and color-encoded T1 maps significantly contributed to the differential diagnosis in 54% of the cases (161/299); the final diagnosis has been done without late gadolinium enhancement images in 83% of healthy individuals, in 99% of patients with dilated cardiomyopathy, in 93% of amyloidosis patients, in 94% of patients with hypertrophic cardiomyopathy and in 85% of patients with hypertensive heart disease, respectively. Comparing the scan time with (48 ± 7 min) vs. without contrast agent (23 ± 5 min), significant time saving could be reached by the short protocol. Subgroup analysis showed the most additional diagnostic value of T1 maps in amyloidosis and hypertrophic cardiomyopathy or in confirmation of normal findings. In patients with unclear left ventricular hypertrophy, a short, non-contrast protocol can be used for diagnostic decision-making, if the quality of the T1 map is diagnostic, even if only one slice is available.
Collapse
Affiliation(s)
- K Hirschberg
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary.
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany.
| | - Sz M Braun
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
| | - O Paul
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
| | - M Ochs
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
| | - J Riffel
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
| | - F Andre
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
| | - J Salatzki
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
| | - J Lebel
- Departments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Canada
| | - J Luu
- Departments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Canada
| | - E Hillier
- Departments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Canada
| | - M Finster
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary
| | - H Vago
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary
| | - B Merkely
- Heart and Vascular Center, Semmelweis University, Városmajor utca 68, Budapest, 1122, Hungary
| | - H A Katus
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
| | - M G Friedrich
- Department of Cardiology, Angiology and Pneumonology, University Hospital Heidelberg, Heidelberg, Germany
- Departments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, Canada
| |
Collapse
|
7
|
Song L, Zhao X, Lv W, Zeng J, Wang Y, Gong B, Kalogeropoulos AP, Pu H, Bai Y, Peng S. Preliminary study on the diagnostic value of cardiac magnetic resonance feature tracking for malignant ventricular arrhythmias in non-ischemic dilated cardiomyopathy. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:215. [PMID: 35280384 PMCID: PMC8908127 DOI: 10.21037/atm-22-660] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/22/2022] [Indexed: 11/08/2022]
Abstract
Background Patients with nonischemic dilated cardiomyopathy (NIDCM) and malignant ventricular arrhythmia (MVA) often have a poor prognosis and a high risk of sudden cardiac death. Although the diagnosis of MVA is straightforward by electrocardiogram (ECG), the underlying abnormalities of ventricular mechanics in these patients are unknown. This study aims to preliminarily explore the value of cardiac magnetic resonance feature tracking (CMR-FT) for MVA in dilated cardiomyopathy. Methods In this retrospective study, patients with NIDCM who met inclusion criteria were divided into an MVA group and a non-MVA group (included from January 2018 to September 2021). The interobserver agreement of myocardial strain parameters, including global longitudinal strain (GLS), global circumferential strain (GCS) and global radial strain (GRS), were tested. The GLS, GCS, GRS, left ventricular ejection fraction (LVEF), Tpeak-Tend interval on ECG and brain natriuretic peptide (BNP) were compared between groups. Single-factor and multifactor receiver operating characteristic (ROC) curve analyses were conducted to calculate the area under the ROC curve (AUC), cut-off point, sensitivity, and specificity of these parameters in predicting MVA in NIDCM. Results A total of 161 NIDCM patients were included (54 in the MVA group). GLS, GCS, and GRS had good interobserver agreement (all intraclass correlation coefficients >0.80). The absolute GLS and GCS, GRS and LVEF were lower in the MVA group than the non-MVA group (P<0.001), Tpeak-Tend and BNP were higher (P<0.001). Single-factor ROC curve analysis showed that GLS, GCS and GRS had certain diagnostic value for MVA (AUC =0.795, 0.802, and 0.754, respectively). Among them, GCS had higher sensitivity and specificity (GCS 0.796/0.776, GLS 0.778/0.757, GRS 0.741/0.692). Multifactor ROC curve analysis showed the combination of GLS and GCS (AUC =0.810), the combination of GCS and GRS (AUC =0.802), the combination of GLS and GRS (AUC =0.787), the combination of GLS, GCS, and GRS (AUC =0.810). Conclusions The three-dimensional myocardial strain parameters (especially GLS and GCS) measured by CMR-FT had certain diagnostic value and could reflect the underlying abnormality of ventricular mechanics of NIDCM with MVA.
Collapse
Affiliation(s)
- Linsheng Song
- Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xinyi Zhao
- Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Wenlong Lv
- Department of Radiotherapy, Cancer Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Jie Zeng
- Department of Cardiology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yishuang Wang
- Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Bo Gong
- Human Disease Genes Key Laboratory of Sichuan Province and Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Andreas P Kalogeropoulos
- Division of Cardiology, Department of Medicine, Stony Brook University Renaissance School of Medicine, Stony Brook, New York, NY, USA
| | - Hong Pu
- Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yifeng Bai
- Department of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Shengkun Peng
- Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
8
|
Li Y, Zheng Q, Cui C, Liu Y, Hu Y, Huang D, Wang Y, Liu J, Liu L. Application value of myocardial work technology by non-invasive echocardiography in evaluating left ventricular function in patients with chronic heart failure. Quant Imaging Med Surg 2022; 12:244-256. [PMID: 34993075 DOI: 10.21037/qims-20-1038] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 06/29/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND Accurate evaluation of left ventricular (LV) systolic function is the premise for diagnosing and treating chronic heart failure. This study aimed to explore the incremental value of echocardiographic myocardial work in evaluating the LV systolic dysfunction in patients with chronic heart failure. METHODS A total of 206 participants were enrolled, including 155 patients with chronic heart failure and 51 healthy controls (HC). The chronic heart failure patients were divided into three groups according to LV ejection fraction (LVEF): Heart failure with preserved ejection fraction (HFpEF group, 54 cases, LVEF ≥50%), heart failure with mid-range ejection fraction (HFmrEF group, 50 cases, 40%≤ LVEF <50%), and heart failure with reduced ejection fraction (HFrEF group, 51 cases, LVEF <40%). Except for the conventional echocardiographic parameters, the left ventricular myocardial work parameters, including the global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE), were calculated in the study participants. One-way analysis of variance test followed by Fisher's least significant difference (LSD) t-test were used to obtain parameters with significant differences, which were then fed into a machine learning model established for subsequent multi-classification of the four groups. The selected myocardial work parameters with high importance rankings resulting from the machine learning model were further compared with the traditional LVEF in the multi-classification of the four groups. RESULTS All conventional echocardiographic parameters were significantly different between the HFmrEF and HFrEF groups, but only E/e', left atrium showed notable differences between the HFpEF and HC groups (P<0.05). All myocardial work parameters were markedly different between the four groups (P<0.05). LVEF and GWI were more important than the other parameters according to the multi-classification machine learning model. The multi-classification diagnostic performances of LVEF, GWI, and LVEF + GWI were 82%, 88%, and 98%, respectively, which confirmed that GWI + LVEF could complementarily improve the diagnosis accuracy in classifying the four groups, with a performance increase of approximately 10% than each individually. CONCLUSIONS GWI can play a complementary role to LVEF in the early diagnosis of HFpEF patients from the HC group and improve the clinical evaluation accuracy in chronic heart failure patients. Echocardiographic myocardial work should be utilized along with conventional LVEF to evaluate the systolic function of chronic heart failure patients in clinical practice.
Collapse
Affiliation(s)
- Yanan Li
- Department of Ultrasound, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Qiang Zheng
- School of Computer and Control Engineering, Yantai University, Yantai, China
| | - Cunying Cui
- Department of Ultrasound, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuanyuan Liu
- Department of Ultrasound, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanbin Hu
- Department of Ultrasound, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Danqing Huang
- Department of Ultrasound, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Wang
- Department of Ultrasound, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Jun Liu
- Department of Cardiology, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Lin Liu
- Department of Ultrasound, Henan Province People's Hospital, Fuwai Central China Cardiovascular Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| |
Collapse
|
9
|
Xiaoxue CMD, Shaoling YP, Qianqian HMD, Yin WP, Linyan FMD, Fengling WMD, Kun ZMD, Jing HMD. Automated Measurements of Left Ventricular Ejection Fraction and Volumes Using the EchoPAC System. ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY 2021. [DOI: 10.37015/audt.2021.200072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
|
10
|
Calandri E, Guana F, Pultrone M, Leuzzi S, Chiorino G, Soligo E, Frantellizzi V, Gallina S, Liberatore M, De Vincentis G. Evaluation of Left Ventricular Volumes and Ejection Fraction from Gated Myocardial Perfusion SPECT Processed with "Myovation Evolution": Comparison of Three Automated Software Packages using Cardiac Magnetic Resonance as Reference. Curr Radiopharm 2020; 14:112-120. [PMID: 32933466 DOI: 10.2174/1874471013666200915130100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 08/10/2020] [Accepted: 08/21/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND The development of resolution recovery (RR) algorithms has made it possible to preserve the good quality of cardiac images despite a reduced number of counts during study acquisition. OBJECTIVE Our purpose was to evaluate the performance of three different software packages in the quantification of left ventricular (LV) end-diastolic volume (EDV), end-systolic volume (ESV), and ejection fraction (EF) from gated perfusion SPECT, applying a resolution recovery (RR) algorithm (GE Myovation Evolution), with respect to cardiac MRI (cMRI) as a gold standard. METHODS We retrospectively enrolled 21 patients, with suspected or known coronary heart disease. Images at rest were reconstructed by filtered back projection (FBP) and by an iterative protocol with the RR algorithm. EDV, ESV, and LVEF were automatically computed employing Quantitative Gated SPECT (QGS), Myometrix (MX), and Corridor 4DM (4DM). Any difference in EDV, ESV, and LVEF calculation between cMRI and the three packages (with FBP and iterative reconstruction with RR) was tested using Wilcoxon or paired t-test, with the assumption of normality assessed using the Shapiro-Wilk test. Agreement between imaging reconstruction algorithms and between gated-SPECT software packages and cMRI was studied with Pearson's (r) or Spearman's (R) correlation coefficients and Lin's concordance correlation coefficient (LCC). RESULTS Intra-software evaluation always revealed very strong correlation coefficients (R, r ≥ 0.8) and excellent LCC coefficients (LCC > 0.95), except for the LCC coefficient between MX-FBP and MX-RR in EDV evaluation, nevertheless considered very good (LCC = 0.94). EDV and ESV had significantly lower value when calculated with the RR algorithm with respect to FBP reconstruction in QGS and MX. LVEF estimation did not show significant differences for QGS-FBP, QGS-RR, MX, and 4DM-RR with respect to cMRI. CONCLUSION All reconstruction methods systematically underestimate EDV and ESV, with higher underestimation applying only the RR. No significant differences were observed between 4DM - RR and 4DM-FBP, for each parameter, when the 4DM package was used.
Collapse
Affiliation(s)
- Enrico Calandri
- Department of Medicine and Urgency, Nuclear Medicine Unit, Ospedale degli Infermi, Ponderano (BI), Italy
| | - Francesca Guana
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, Biella, Italy
| | - Mirco Pultrone
- Department of Medicine and Urgency, Nuclear Medicine Unit, Ospedale degli Infermi, Ponderano (BI), Italy
| | - Stefano Leuzzi
- Department of Medicine and Urgency, Unit of Cardiology, Ospedale degli Infermi, Ponderano (BI), Italy
| | - Giovanna Chiorino
- Laboratory of Cancer Genomics, Fondazione Edo ed Elvo Tempia, Biella, Italy
| | - Eleonora Soligo
- Department of Medicine and Urgency, Radiology Unit, Ospedale degli Infermi, Ponderano (BI), Italy
| | - Viviana Frantellizzi
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Nuclear Medicine Unit, "Sapienza" University, Rome, Italy
| | - Sonya Gallina
- Department of Medicine and Urgency, Nuclear Medicine Unit, Ospedale degli Infermi, Ponderano (BI), Italy
| | - Mauro Liberatore
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Nuclear Medicine Unit, "Sapienza" University, Rome, Italy
| | - Giuseppe De Vincentis
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Nuclear Medicine Unit, "Sapienza" University, Rome, Italy
| |
Collapse
|
11
|
van den Hoven AT, Yilmazer S, Chelu RG, van Grootel RWJ, Minderhoud SCS, Bons LR, van Berendoncks AM, Duijnhouwer AL, Siebelink HMJ, van den Bosch AE, Budde RPJ, Roos-Hesselink JW, Hirsch A. Left ventricular global longitudinal strain in bicupsid aortic valve patients: head-to-head comparison between computed tomography, 4D flow cardiovascular magnetic resonance and speckle-tracking echocardiography. Int J Cardiovasc Imaging 2020; 36:1771-1780. [PMID: 32451876 PMCID: PMC7438282 DOI: 10.1007/s10554-020-01883-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Accepted: 05/14/2020] [Indexed: 11/30/2022]
Abstract
Left ventricular global longitudinal strain (LVGLS) analysis is a sensitive measurement of myocardial deformation most often done using speckle-tracking transthoracic echocardiography (TTE). We propose a novel approach to measure LVGLS using feature-tracking software on the magnitude dataset of 4D flow cardiovascular magnetic resonance (CMR) and compare it to dynamic computed tomography (CT) and speckle tracking TTE derived measurements. In this prospective cohort study 59 consecutive adult patients with a bicuspid aortic valve (BAV) were included. The study protocol consisted of TTE, CT, and CMR on the same day. Image analysis was done using dedicated feature-tracking (4D flow CMR and CT) and speckle-tracking (TTE) software, on apical 2-, 3-, and 4-chamber long-axis multiplanar reconstructions (4D flow CMR and CT) or standard apical 2-, 3-, and 4-chamber acquisitions (TTE). CMR and CT GLS analysis was feasible in all patients. Good correlations were observed for GLS measured by CMR (− 21 ± 3%) and CT (− 20 ± 3%) versus TTE (− 20 ± 3%, Pearson’s r: 0.67 and 0.65, p < 0.001). CMR also correlated well with CT (Pearson’s r 0.62, p < 0.001). The inter-observer analysis showed moderate to good reproducibility of GLS measurement by CMR, CT and TTE (Pearsons’s r: 0.51, 0.77, 0.70 respectively; p < 0.05). Additionally, ejection fraction (EF), end-diastolic and end-systolic volume measurements (EDV and ESV) correlated well between all modalities (Pearson’s r > 0.61, p < 0.001). Feature-tracking GLS analysis is feasible using the magnitude images acquired with 4D flow CMR. GLS measurement by CMR correlates well with CT and speckle-tracking 2D TTE. GLS analysis on 4D flow CMR allows for an integrative approach, integrating flow and functional data in a single sequence. Not applicable, observational study.
Collapse
Affiliation(s)
- Allard T. van den Hoven
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Sultan Yilmazer
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Raluca G. Chelu
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Roderick W. J. van Grootel
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Savine C. S. Minderhoud
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Lidia R. Bons
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - An M. van Berendoncks
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Anthonie L. Duijnhouwer
- Department of Cardiology, Radboud University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hans-Marc J. Siebelink
- Department of Cardiology, Leiden University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Annemien E. van den Bosch
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Ricardo P. J. Budde
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jolien W. Roos-Hesselink
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Alexander Hirsch
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Room Rg-419, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
12
|
Kwon OS, Lee J, Lim S, Park JW, Han HJ, Yang SH, Hwang I, Yu HT, Kim TH, Uhm JS, Joung B, Lee MH, Pak HN. Accuracy and clinical feasibility of 3D-myocardial thickness map measured by cardiac computed tomogram. INTERNATIONAL JOURNAL OF ARRHYTHMIA 2020. [DOI: 10.1186/s42444-020-00020-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Although myocardial thickness is an important variable for therapeutic catheter ablation of cardiac arrhythmias, quantification of wall thickness has been overlooked. We developed a software (AMBER) that measures 3D-myocardial thickness using a cardiac computed tomogram (CT) image, verified its accuracy, and tested its clinical feasibility.
Methods
We generated 3D-thickness maps by calculating wall thickness (WT) from the CT images of 120 patients’ hearts and a 3D-phantom model (PhM). The initial vector field of the Laplace equation was oriented to calculate WT with the field lines derived from the 3D mesh. We demonstrate the robustness of the Laplace WT algorithm by comparing with the real thickness of 3D-PhM, echocardiographically measured left ventricular (LV) WT, and regional left atrial (LA) WT reported from previous studies. We conducted a pilot case of catheter ablation for atrial fibrillation (AF) utilizing real-time LAWT map-guided radiofrequency (RF) energy titration.
Results
AMBER 3D-WT had excellent correlations with the real thickness of the PhM (R = 0.968, p < 0.001) and echocardiographically measured LVWT in 10 patients (R = 0.656, p = 0.007). AMBER 3D-LAWT (n = 120) showed a relatively good match with 12 previously reported regional LAWT. We successfully conducted pilot AF ablation utilizing AMBER 3D-LAWT map-guided real-time RF energy titration.
Conclusion
We developed and verified an AMBER 3D-cardiac thickness map measured by cardiac CT images for LAWT and LVWT, and tested its feasibility for RF energy titration during clinical catheter ablation.
Collapse
|
13
|
Feature tracking computed tomography-derived left ventricular global longitudinal strain in patients with aortic stenosis: a comparative analysis with echocardiographic measurements. J Cardiovasc Comput Tomogr 2020; 14:240-245. [DOI: 10.1016/j.jcct.2019.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 09/09/2019] [Accepted: 11/20/2019] [Indexed: 11/23/2022]
|
14
|
Image quality of late gadolinium enhancement in cardiac magnetic resonance with different doses of contrast material in patients with chronic myocardial infarction. Eur Radiol Exp 2020; 4:21. [PMID: 32242266 PMCID: PMC7118177 DOI: 10.1186/s41747-020-00149-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Accepted: 02/21/2020] [Indexed: 01/26/2023] Open
Abstract
Background Contrast-enhanced cardiac magnetic resonance (CMR) is pivotal for evaluating chronic myocardial infarction (CMI). Concerns about safety of gadolinium-based contrast agents favour dose reduction. We assessed image quality of scar tissue in CMRs performed with different doses of gadobutrol in CMI patients. Methods Informed consent was waived for this Ethics Committee-approved single-centre retrospective study. Consecutive contrast-enhanced CMRs from CMI patients were retrospectively analysed according to the administered gadobutrol dose (group A, 0.10 mmol/kg; group B, 0.15 mmol/kg; group C, 0.20 mmol/kg). We calculated the signal-to-noise ratio for scar tissue (SNRscar) and contrast-to-noise ratio between scar and either remote myocardium (CNRscar-rem) or blood (CNRscar-blood). Results Of 79 CMRs from 79 patients, 22 belonged to group A, 26 to group B, and 31 to group C. The groups were homogeneous for age, sex, left ventricular morpho-functional parameters, and percentage of scar tissue over whole myocardium (p ≥ 0.300). SNRscar was lower in group A (46.4; 40.3–65.1) than in group B (70.1; 52.2–111.5) (p = 0.013) and group C (72.1; 59.4–100.0) (p = 0.002), CNRscar-rem was lower in group A (62.9; 52.2–87.4) than in group B (96.5; 73.1–152.8) (p = 0.008) and in group C (103.9; 83.9–132.0) (p = 0.001). No other significant differences were found (p ≥ 0.335). Conclusions Gadobutrol at 0.10 mmol/kg provides inferior scar image quality of CMI than 0.15 and 0.20 mmol/kg; the last two dosages seem to provide similar LGE. Thus, for CMR of CMI, 0.15 mmol/kg of gadobutrol can be suggested instead of 0.20 mmol/kg, with no hindrance to scar visualisation. Dose reduction would not impact on diagnostic utility of CMR examinations.
Collapse
|
15
|
El dilema entre el pulmón y el corazón en EPOC: historia de dos ciudades. Arch Bronconeumol 2019; 55:185-186. [DOI: 10.1016/j.arbres.2018.10.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 09/28/2018] [Accepted: 10/09/2018] [Indexed: 11/20/2022]
|
16
|
Fukui M, Xu J, Abdelkarim I, Sharbaugh MS, Thoma FW, Althouse AD, Pedrizzetti G, Cavalcante JL. Global longitudinal strain assessment by computed tomography in severe aortic stenosis patients - Feasibility using feature tracking analysis. J Cardiovasc Comput Tomogr 2019; 13:157-162. [DOI: 10.1016/j.jcct.2018.10.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 09/19/2018] [Accepted: 10/23/2018] [Indexed: 10/28/2022]
|
17
|
Hendriks T, Schurer RAJ, Al Ali L, van den Heuvel AFM, van der Harst P. Left ventricular restoration devices post myocardial infarction. Heart Fail Rev 2018; 23:871-883. [PMID: 29770903 PMCID: PMC6208878 DOI: 10.1007/s10741-018-9711-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Even in the era of percutaneous reperfusion therapy, left ventricular (LV) remodeling after myocardial infarction (MI) leading to heart failure remains a major health concern. Contractile dysfunction of the infarcted myocardium results in an increased pressure load, leading to maladaptive reshaping of the LV. Several percutaneous transcatheter procedures have been developed to deliver devices that restore LV shape and function. The purposes of this review are to discuss the spectrum of transcatheter devices that are available or in development for attenuation of adverse LV remodeling and to critically examine the available evidence for improvement of functional status and cardiovascular outcomes.
Collapse
Affiliation(s)
- Tom Hendriks
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Remco A J Schurer
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Lawien Al Ali
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Ad F M van den Heuvel
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, 9700RB, Groningen, The Netherlands.
| |
Collapse
|
18
|
Baniaamam M, Paulus WJ, Blanken AB, Nurmohamed MT. The effect of biological DMARDs on the risk of congestive heart failure in rheumatoid arthritis: a systematic review. Expert Opin Biol Ther 2018; 18:585-594. [DOI: 10.1080/14712598.2018.1462794] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Milad Baniaamam
- Amsterdam Rheumatology Immunology Center, Amsterdam, the Netherlands
- Department of Rheumatology, Jan van Breemen Research Institute/Reade, Amsterdam, the Netherlands
- Amsterdam Cardiovascular Sciences, VUmc/Reade/AMC/Sanquin, Amsterdam, the Netherlands
| | - Walter J. Paulus
- Department of Physiology, VU University Medical Center, Amsterdam, the Netherlands
| | - Annelies B. Blanken
- Amsterdam Rheumatology Immunology Center, Amsterdam, the Netherlands
- Department of Rheumatology, Jan van Breemen Research Institute/Reade, Amsterdam, the Netherlands
| | - Michael T. Nurmohamed
- Amsterdam Rheumatology Immunology Center, Amsterdam, the Netherlands
- Department of Rheumatology, Jan van Breemen Research Institute/Reade, Amsterdam, the Netherlands
- Department of Rheumatology, VU University Medical Center, Amsterdam, the Netherlands
| |
Collapse
|
19
|
Lindsey ML, Kassiri Z, Virag JAI, de Castro Brás LE, Scherrer-Crosbie M. Guidelines for measuring cardiac physiology in mice. Am J Physiol Heart Circ Physiol 2018; 314:H733-H752. [PMID: 29351456 PMCID: PMC5966769 DOI: 10.1152/ajpheart.00339.2017] [Citation(s) in RCA: 205] [Impact Index Per Article: 34.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Cardiovascular disease is a leading cause of death, and translational research is needed to understand better mechanisms whereby the left ventricle responds to injury. Mouse models of heart disease have provided valuable insights into mechanisms that occur during cardiac aging and in response to a variety of pathologies. The assessment of cardiovascular physiological responses to injury or insult is an important and necessary component of this research. With increasing consideration for rigor and reproducibility, the goal of this guidelines review is to provide best-practice information regarding how to measure accurately cardiac physiology in animal models. In this article, we define guidelines for the measurement of cardiac physiology in mice, as the most commonly used animal model in cardiovascular research. Listen to this article’s corresponding podcast at http://ajpheart.podbean.com/e/guidelines-for-measuring-cardiac-physiology-in-mice/.
Collapse
Affiliation(s)
- Merry L Lindsey
- Department of Physiology and Biophysics, Mississippi Center for Heart Research, University of Mississippi Medical Center , Jackson, Mississippi.,Research Service, G.V. (Sonny) Montgomery Veterans Affairs Medical Center , Jackson, Mississippi
| | - Zamaneh Kassiri
- Department of Physiology, Cardiovascular Research Centre, Mazankowski Alberta Heart Institute, University of Alberta , Edmonton, Alberta , Canada
| | - Jitka A I Virag
- Department of Physiology, Brody School of Medicine, East Carolina University , Greenville, North Carolina
| | - Lisandra E de Castro Brás
- Department of Physiology, Brody School of Medicine, East Carolina University , Greenville, North Carolina
| | | |
Collapse
|
20
|
Kinno M, Nagpal P, Horgan S, Waller AH. Comparison of Echocardiography, Cardiac Magnetic Resonance, and Computed Tomographic Imaging for the Evaluation of Left Ventricular Myocardial Function: Part 2 (Diastolic and Regional Assessment). Curr Cardiol Rep 2017; 19:6. [PMID: 28116679 DOI: 10.1007/s11886-017-0816-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Assessing left ventricular diastolic and regional function is a crucial part of the cardiovascular evaluation. Diastolic function is as important as systolic function for left ventricular performance because it is the determinant of the ability of the left atrium and ventricle to fill at relatively low pressures. Additionally, diastolic function plays an important role in the management and prognosis of patients with symptoms and signs of heart failure. Technical advances in the imaging modalities have allowed a comprehensive noninvasive assessment of global and regional cardiac mechanics and precise estimation of cardiovascular hemodynamics. In this review, we will discuss and compare clinically available techniques and novel approaches using echocardiography, cardiac magnetic resonance, and computed tomography for the assessment of diastolic and regional left ventricular function.
Collapse
Affiliation(s)
- Menhel Kinno
- Division of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Prashant Nagpal
- Department of Radiology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Stephen Horgan
- Department of Cardiovascular Medicine, Morristown Medical Center, Gagnon Cardiovascular Institute, Morristown, NJ, USA
| | - Alfonso H Waller
- Division of Cardiology, Department of Medicine, Rutgers New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA. .,Department of Radiology, Rutgers New Jersey Medical School, Rutgers, The State University of New Jersey, 185 South Orange Avenue, Newark, NJ, 07103, USA.
| |
Collapse
|