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Castro R, Born P, Roessler E, Labra C, McNab P, Bravo S, Soto D, Kattan E, Hernández G, Bakker J. Preload responsiveness-guided fluid removal in mechanically ventilated patients with fluid overload: A comprehensive clinical-physiological study. J Crit Care 2024; 84:154901. [PMID: 39197236 DOI: 10.1016/j.jcrc.2024.154901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 08/07/2024] [Accepted: 08/20/2024] [Indexed: 09/01/2024]
Abstract
This study investigated fluid removal strategies for critically ill patients with fluid overload on mechanical ventilation. Traditionally, a negative fluid balance (FB) is aimed for. However, this approach can have drawbacks. Here, we compared a new approach, namely removing fluids until patients become fluid responsive (FR) to the traditional empiric negative balance approach. Twelve patients were placed in each group (n = 24). FR assessment was performed using passive leg raising (PLR). Both groups maintained stable blood pressure and heart function during fluid management. Notably, the FR group weaned from the ventilator significantly faster than negative FB group (both for a spontaneous breathing trial (14 h vs. 36 h, p = 0.031) and extubation (26 h vs. 57 h, p = 0.007); the difference in total ventilator time wasn't statistically significant (49 h vs. 62 h, p = 0.065). Additionally, FR group avoided metabolic problems like secondary alkalosis and potential hypokalemia seen in the negative FB group. FR-guided fluid-removal in fluid overloaded mechanically ventilated patients was a feasible, safe, and maybe superior strategy in facilitating weaning and disconnection from mechanical ventilation than negative FB-driven fluid removal. FR is a safe endpoint for optimizing cardiac function and preventing adverse consequences during fluid removal.
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Affiliation(s)
- Ricardo Castro
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile; Hospital Clínico UC-CHRISTUS, Pontificia Universidad Católica de Chile. Santiago, Chile.
| | - Pablo Born
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile.
| | - Eric Roessler
- Departamento de Nefrología, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile; Hospital Clínico UC-CHRISTUS, Pontificia Universidad Católica de Chile. Santiago, Chile.
| | - Christian Labra
- Hospital Clínico UC-CHRISTUS, Pontificia Universidad Católica de Chile. Santiago, Chile.
| | - Paul McNab
- Departamento de Enfermedades Cardiovasculares, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile; Hospital Clínico UC-CHRISTUS, Pontificia Universidad Católica de Chile. Santiago, Chile.
| | - Sebastián Bravo
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile; Hospital Clínico UC-CHRISTUS, Pontificia Universidad Católica de Chile. Santiago, Chile.
| | - Dagoberto Soto
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile.
| | - Eduardo Kattan
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile; Hospital Clínico UC-CHRISTUS, Pontificia Universidad Católica de Chile. Santiago, Chile.
| | - Glenn Hernández
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile; Hospital Clínico UC-CHRISTUS, Pontificia Universidad Católica de Chile. Santiago, Chile
| | - Jan Bakker
- Departamento de Medicina Intensiva, Facultad de Medicina, Pontificia Universidad Católica de Chile. Santiago Centro, Chile; Department of Intensive Care, Erasmus MC University Medical Center. Rotterdam, the Netherlands.
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Yan WF, Yang ZG, Li XM, Tang SS, Guo YK, Jiang L, Min CY, Li Y. Additional Impact of Aortic Regurgitation on Left Ventricular Strain and Remodeling in Essential Hypertension Patients Evaluated Using MRI. J Magn Reson Imaging 2024; 60:339-349. [PMID: 37966904 DOI: 10.1002/jmri.29117] [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: 08/13/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Understanding the impact of aortic regurgitation (AR) on hypertensive patients' hearts is important. PURPOSE To assess left ventricular (LV) strain and structure in hypertensive patients and investigate the relationship with AR severity. STUDY TYPE Retrospective. POPULATION 263 hypertensive patients (99 with AR) and 62 controls, with cardiac MRI data. FIELD STRENGTH/SEQUENCE Balanced steady-state free precession (bSSFP) sequence at 3.0T. ASSESSMENT AR was classified as mild, moderate, or severe based on echocardiographic findings. LV geometry was classified as normal, concentric remodeling, eccentric hypertrophy, or concentric hypertrophy based on MRI assessment of LV mass/volume ratio and LV Mass index (LVMI). LV global radial peak strain (GRPS), global circumferential peak strain (GCPS), and global longitudinal peak strain (GLPS) were obtained by post-processing bSSFP cine datasets using commercial software. STATISTICAL TESTS ANOVA, Kruskal-Wallis test, Spearman's correlation coefficients (r), chi-square test, and multivariable linear regression analysis. A P value <0.05 was considered statistically significant. RESULTS Hypertensive patients with AR had significantly lower LV myocardial strain and higher LVMI than the group without AR (GRPS 26.25 ± 12.23 vs. 34.53 ± 9.85, GCPS -17.4 ± 5.84 vs. -20.57 ± 3.57, GLPS -9.86 ± 4.08 vs. -12.95 ± 2.94, LVMI 90.56 ± 38.56 vs.58.84 ± 17.55). Of the 99 patients with AR, 56 had mild AR, 26 had moderate AR and 17 had severe AR. The degree of AR was significantly negatively correlated to the absolute values of LV GRPS, GCPS and GLPS (r = -0.284 - -0.416). LV eccentric hypertrophy increased significantly with AR severity (no AR 21.3%, mild AR 42.9%, moderate AR 73.1%, severe AR 82.4%). In multivariable analysis, the degree of AR was an independent factor affecting LV global strain and LVMI even after considering confounding factors (β values for global myocardial strain were -0.431 to -0.484, for LVMI was 0.646). DATA CONCLUSION Increasing AR severity leads to decreased cardiac function and worse ventricular geometric phenotypes in hypertensive patients. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Wei-Feng Yan
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhi-Gang Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xue-Ming Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Si-Shi Tang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Jiang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chen-Yan Min
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuan Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Aune A, Ohldieck A, Halvorsen LV, Brobak KM, Olsen E, Rognstad S, Larstorp ACK, Søraas CL, Rossebø AB, Rösner A, Grytaas MA, Gerdts E. Gender Differences in Cardiac Organ Damage in Arterial Hypertension: Assessing the Role of Drug Nonadherence. High Blood Press Cardiovasc Prev 2024; 31:157-166. [PMID: 38530572 PMCID: PMC11043164 DOI: 10.1007/s40292-024-00632-6] [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: 01/14/2024] [Accepted: 03/03/2024] [Indexed: 03/28/2024] Open
Abstract
INTRODUCTION Cardiac organ damage like left ventricular (LV) hypertrophy and left atrial (LA) enlargement is more prevalent in women than men with hypertension, but the mechanisms underlying this gender difference remain unclear. METHODS We tested the association of drug nonadherence with the presence of LV hypertrophy and LA enlargement by echocardiography in 186 women and 337 men with uncontrolled hypertension defined as daytime systolic blood pressure (BP) ≥ 135mmHg despite the prescription of at least two antihypertensive drugs. Drug adherence was assessed by measurements of serum drug concentrations interpreted by an experienced pharmacologist. Aldosterone-renin-ratio (ARR) was measured on actual medication. RESULTS Women had a higher prevalence of LV hypertrophy (46% vs. 33%) and LA enlargement (79% vs 65%, both p < 0.05) than men, while drug nonadherence (8% vs. 9%, p > 0.514) did not differ. Women were older and had lower serum renin concentration and higher ARR than men, while 24-h systolic BP (141 ± 9 mmHg vs. 142 ± 9 mmHg), and the prevalences of obesity (43% vs. 50%) did not differ (all p > 0.10). In multivariable analyses, female gender was independently associated with a two-fold increased risk of LV hypertrophy (OR 2.01[95% CI 1.30-3.10], p = 0.002) and LA enlargement (OR 1.90 [95% CI 1.17-3.10], p = 0.010), while no association with drug nonadherence was found. Higher ARR was independently associated with LV hypertrophy in men only (OR 2.12 [95% CI 1.12-4.00] p = 0.02). CONCLUSIONS Among patients with uncontrolled hypertension, the higher prevalence of LV hypertrophy and LA enlargement in women was not explained by differences in drug nonadherence. REGISTRATION URL: https://www. CLINICALTRIALS gov ; Unique identifier: NCT03209154.
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Affiliation(s)
- Arleen Aune
- Department of Clinical Sciences, University of Bergen, P.P. box 7804, 5020, Bergen, Norway.
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway.
| | - Annabel Ohldieck
- Department of Clinical Sciences, University of Bergen, P.P. box 7804, 5020, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Lene V Halvorsen
- Section for Cardiovascular and Renal Research, Oslo University Hospital Ullevål, Oslo, Norway
- Department of Nephrology, Oslo University Hospital Ullevål, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Karl Marius Brobak
- Section of Nephrology, The Arctic University of Norway, Tromsø, Norway
- Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway
| | - Eirik Olsen
- Department of Emergency Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Stine Rognstad
- Section for Cardiovascular and Renal Research, Oslo University Hospital Ullevål, Oslo, Norway
- Department of Pharmacology, Oslo University Hospital Ullevål, Oslo, Norway
| | - Anne Cecilie K Larstorp
- Section for Cardiovascular and Renal Research, Oslo University Hospital Ullevål, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Medical Biochemistry, Oslo University Hospital Ullevål, Oslo, Norway
| | - Camilla L Søraas
- Section for Cardiovascular and Renal Research, Oslo University Hospital Ullevål, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Section for Environmental and Occupational Medicine, Oslo University Hospital Ullevål, Oslo, Norway
| | - Anne B Rossebø
- Department of Cardiology, Oslo University Hospital Ullevål, Oslo, Norway
| | - Assami Rösner
- Department of Clinical Medicine, UIT, The Arctic University, Tromsø, Norway
| | | | - Eva Gerdts
- Department of Clinical Sciences, University of Bergen, P.P. box 7804, 5020, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
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Uwase E, Caru M, Curnier D, Abasq M, Andelfinger G, Krajinovic M, Laverdière C, Sinnett D, Périé D. Relationship between cardiac mechanical properties and cardiac magnetic resonance imaging at rest in childhood acute lymphoblastic leukemia survivors. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:2589-2598. [PMID: 37728802 DOI: 10.1007/s10554-023-02953-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/05/2023] [Indexed: 09/21/2023]
Abstract
The characterization of cardiac mechanical properties may contribute to better understanding of doxorubicin-induced cardiotoxicity. Our study aims to investigate the relationship between cardiac mechanical properties, T1 and T2 relaxation times and partition coefficient. Fifty childhood acute lymphoblastic leukemia survivors underwent a cardiac magnetic resonance (CMR) at rest on a 3T MRI system and included a standard ECG-gated 3(3)3(3)5 MOLLI sequence for T1 mapping and an ECG-gated T2-prepared TrueFISP sequence for T2 mapping. Partition coefficient, ejection fraction, end-diastolic volume (EDV) and end-systolic volume (ESV) were calculated. CircAdapt model was used to study cardiac mechanical performance (left ventricle stiffness (LVS), contractility (LVC) and pressure (Pmin and Pmax), cardiac work efficiency (CWE) and ventricular arterial coupling). In the whole cohort, our results showed that LVC (R2 = 69.2%, r = 0.83), Pmin (R2 = 62.9%, r = 0.79) and Pmax can be predicted by significant CMR parameters, while T1 (R2 = 23.2%, r = 0.48) and partition coefficient (R2 = 13.8%, r = 0.37) can be predicted by significant cardiac mechanical properties. In SR group LVS (R2 = 94.8%, r = 0.97), LVC (R2 = 93.7%, r = 0.96) and Pmin (R2 = 90.6%, r = 0.95) can be predicted by significant cardiac mechanical properties, while in HR + DEX group CWE (R2 = 49.8%, r = 0.70) can be predicted by significant cardiac mechanical properties. Partition coefficient (R2 = 72.6%, r = 0.85) can be predicted by significant CMR parameters in SR group. Early characterization of cardiac mechanical properties from CMR parameters has the potential to early detect doxorubicin-induced cardiotoxicity.
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Affiliation(s)
- Egidie Uwase
- Department of Mechanical Engineering, Polytechnique Montreal, P.O. Box 6079, Montreal, Québec, H3C 3A7, Canada
| | - Maxime Caru
- Department of Mechanical Engineering, Polytechnique Montreal, P.O. Box 6079, Montreal, Québec, H3C 3A7, Canada
- Research Center, Sainte-Justine University Health Center, Montreal, Canada
| | - Daniel Curnier
- Research Center, Sainte-Justine University Health Center, Montreal, Canada
- School of Kinesiology and Physical Activity Sciences, Faculty of Medicine, University of Montreal, Montreal, Canada
| | - Maxence Abasq
- Department of Mechanical Engineering, Polytechnique Montreal, P.O. Box 6079, Montreal, Québec, H3C 3A7, Canada
| | - Gregor Andelfinger
- Research Center, Sainte-Justine University Health Center, Montreal, Canada
- Department of Pediatrics, University of Montreal, Montreal, Canada
| | - Maja Krajinovic
- Research Center, Sainte-Justine University Health Center, Montreal, Canada
- Department of Pediatrics, University of Montreal, Montreal, Canada
| | - Caroline Laverdière
- Research Center, Sainte-Justine University Health Center, Montreal, Canada
- Department of Pediatrics, University of Montreal, Montreal, Canada
| | - Daniel Sinnett
- Research Center, Sainte-Justine University Health Center, Montreal, Canada
- Department of Pediatrics, University of Montreal, Montreal, Canada
| | - Delphine Périé
- Department of Mechanical Engineering, Polytechnique Montreal, P.O. Box 6079, Montreal, Québec, H3C 3A7, Canada.
- Research Center, Sainte-Justine University Health Center, Montreal, Canada.
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5
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Khurshid S, Lazarte J, Pirruccello JP, Weng LC, Choi SH, Hall AW, Wang X, Friedman SF, Nauffal V, Biddinger KJ, Aragam KG, Batra P, Ho JE, Philippakis AA, Ellinor PT, Lubitz SA. Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass. Nat Commun 2023; 14:1558. [PMID: 36944631 PMCID: PMC10030590 DOI: 10.1038/s41467-023-37173-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 03/04/2023] [Indexed: 03/23/2023] Open
Abstract
Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying cardiomyopathy. Cardiac magnetic resonance is the gold-standard for left ventricular mass estimation, but is challenging to obtain at scale. Here, we use deep learning to enable genome-wide association study of cardiac magnetic resonance-derived left ventricular mass indexed to body surface area within 43,230 UK Biobank participants. We identify 12 genome-wide associations (1 known at TTN and 11 novel for left ventricular mass), implicating genes previously associated with cardiac contractility and cardiomyopathy. Cardiac magnetic resonance-derived indexed left ventricular mass is associated with incident dilated and hypertrophic cardiomyopathies, and implantable cardioverter-defibrillator implant. An indexed left ventricular mass polygenic risk score ≥90th percentile is also associated with incident implantable cardioverter-defibrillator implant in separate UK Biobank (hazard ratio 1.22, 95% CI 1.05-1.44) and Mass General Brigham (hazard ratio 1.75, 95% CI 1.12-2.74) samples. Here, we perform a genome-wide association study of cardiac magnetic resonance-derived indexed left ventricular mass to identify 11 novel variants and demonstrate that cardiac magnetic resonance-derived and genetically predicted indexed left ventricular mass are associated with incident cardiomyopathy.
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Affiliation(s)
- Shaan Khurshid
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA
| | - Julieta Lazarte
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - James P Pirruccello
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Lu-Chen Weng
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Seung Hoan Choi
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Amelia W Hall
- Gene Regulation Observatory, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Xin Wang
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Samuel F Friedman
- Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Victor Nauffal
- Division of Cardiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Kiran J Biddinger
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Krishna G Aragam
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Puneet Batra
- Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jennifer E Ho
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- CardioVascular Institute and Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Anthony A Philippakis
- Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Patrick T Ellinor
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA
- Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA
| | - Steven A Lubitz
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
- Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
- Demoulas Center for Cardiac Arrhythmias, Massachusetts General Hospital, Boston, MA, USA.
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Sun S, Bresch E, Muehlsteff J, Schmitt L, Long X, Bezemer R, Paulussen I, Noordergraaf GJ, Aarts RM. Systolic blood pressure estimation using ECG and PPG in patients undergoing surgery. Biomed Signal Process Control 2023. [DOI: 10.1016/j.bspc.2022.104040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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7
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den Harink T, Roelofs MJM, Limpens J, Painter RC, Roseboom TJ, van Deutekom AW. Maternal obesity in pregnancy and children's cardiac function and structure: A systematic review and meta-analysis of evidence from human studies. PLoS One 2022; 17:e0275236. [PMID: 36346818 PMCID: PMC9642886 DOI: 10.1371/journal.pone.0275236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 09/12/2022] [Indexed: 11/11/2022] Open
Abstract
The prevalence of obesity is increasing worldwide. Experimental animal studies demonstrate that maternal obesity during pregnancy directly affects cardiac structure and function in their offspring, which could contribute to their increased cardiovascular disease (CVD) risk. Currently, a systematic overview of the available evidence regarding maternal obesity and alterations in cardiac structure and function in human offspring is lacking. We systematically searched the electronic databases Embase, MEDLINE and NARCIS from inception to June 29, 2022 including human studies comparing cardiac structure and function from fetal life onwards in offspring of women with and without obesity. The review protocol was registered with PROSPERO International Prospective Register of Systematic Reviews (identifier: CRD42019125071). Risk of bias was assessed using a modified Newcastle-Ottawa scale. Results were expressed using standardized mean differences (SMD). The search yielded 1589 unique publications, of which thirteen articles were included. Compared to offspring of women without obesity, fetuses of women with obesity had lower left ventricular strain, indicative of reduced systolic function, that persisted in infancy (SMD -2.4, 95% confidence interval (CI) -4.4 standard deviation (SD) to -0.4 SD during fetal life and SMD -1.0, 95% CI -1.6 SD to -0.3 SD in infancy). Furthermore, infants born to women with obesity had a thicker interventricular septum (SMD 0.6 SD, 95% CI 0.0 to 1.2 SD) than children born to women without obesity. In conclusion, cardiac structure and function differs between fetuses and children of women with and without obesity. Some of these differences were present in fetal life, persisted in childhood and are consistent with increased CVD risk. Long-term follow-up research is warranted, as studies in offspring of older age are lacking.
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Affiliation(s)
- Tamara den Harink
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Reproduction and Development, Amsterdam, The Netherlands
| | - Manouck J. M. Roelofs
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Jacqueline Limpens
- Medical Library, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Rebecca C. Painter
- Amsterdam Reproduction and Development, Amsterdam, The Netherlands
- Department of Obstetrics and Gynecology, Amsterdam UMC, Amsterdam Reproduction and Development, University of Amsterdam, Amsterdam, Netherlands
| | - Tessa J. Roseboom
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Reproduction and Development, Amsterdam, The Netherlands
- Department of Obstetrics and Gynecology, Amsterdam UMC, Amsterdam Reproduction and Development, University of Amsterdam, Amsterdam, Netherlands
| | - Arend W. van Deutekom
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Division of Paediatric Cardiology, Department of Paediatrics, Erasmus MC-Sophia Children’s Hospital, Rotterdam, The Netherlands
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8
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Thongsroy J, Mutirangura A. The association between Alu hypomethylation and the severity of hypertension. PLoS One 2022; 17:e0270004. [PMID: 35802708 PMCID: PMC9269909 DOI: 10.1371/journal.pone.0270004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/02/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Epigenetic changes that cause genomic instability may be the basis of pathogenic processes of age-associated noncommunicable diseases (NCDs). Essential hypertension is one of the most common NCDs. Alu hypomethylation is an epigenetic event that is commonly found in elderly individuals. Epigenomic alterations are also found in age-associated NCDs such as osteoporosis and diabetes mellitus. Alu methylation prevents DNA from being damaged. Therefore, Alu hypomethylated DNA accumulates DNA damage and, as a result, causes organ function deterioration. Here, we report that Alu hypomethylation is a biomarker for essential hypertension. Results We investigated Alu methylation levels in white blood cells from normal controls, patients with prehypertension, and patients with hypertension. The hypertension group possessed the lowest Alu methylation level when classified by systolic blood pressure and diastolic blood pressure (P = 0.0002 and P = 0.0088, respectively). In the hypertension group, a higher diastolic blood pressure and a lower Alu methylation level were observed (r = -0.6278). Moreover, we found that changes in Alu hypomethylation in the four years of follow-up in the same person were directly correlated with increased diastolic blood pressure. Conclusions Similar to other age-associated NCDs, Alu hypomethylation is found in essential hypertension and is directly correlated with severity, particularly with diastolic blood pressure. Therefore, Alu hypomethylation may be linked with the molecular pathogenesis of high blood pressure and can be used for monitoring the clinical outcome of this disease.
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Affiliation(s)
- Jirapan Thongsroy
- School of Medicine, Walailak University, Nakhon Si Thammarat, Thailand
- * E-mail:
| | - Apiwat Mutirangura
- Center of Excellence in Molecular Genetics of Cancer and Human Disease, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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9
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Ai S, Wang X, Wang S, Zhao Y, Guo S, Li G, Chen Z, Lin F, Guo S, Li Y, Zhang J, Zhao G. Effects of glycemic traits on left ventricular structure and function: a mendelian randomization study. Cardiovasc Diabetol 2022; 21:109. [PMID: 35715813 PMCID: PMC9206364 DOI: 10.1186/s12933-022-01540-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 06/01/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Adverse ventricular structure and function is a key pathogenic mechanism of heart failure. Observational studies have shown that both insulin resistance (IR) and glycemic level are associated with adverse ventricular structure and function. However, whether IR and glycemic level are causally associated with cardiac structure and function remains unclear. METHODS Genetic variants for IR, fasting insulin, HbA1c, and fasting glucose were selected based on published genome-wide association studies, which included 188,577, 108,557, 123,665, and 133,010 individuals of European ancestry, respectively. Outcome datasets for left ventricular (LV) parameters were obtained from UK Biobank Cardiovascular Magnetic Resonance sub-study (n = 16,923). Mendelian randomization (MR) analyses with the inverse-variance weighted (IVW) method were used for the primary analyses, while weighted median, MR-Egger, and MR-PRESSO were used for sensitivity analyses. Multivariable MR analyses were also conducted to examine the independent effects of glycemic traits on LV parameters. RESULTS In the primary IVW MR analyses, per 1-standard deviation (SD) higher IR was significantly associated with lower LV end-diastolic volume (β = - 0.31 ml, 95% confidence interval [CI] - 0.48 to - 0.14 ml; P = 4.20 × 10-4), lower LV end-systolic volume (β = - 0.34 ml, 95% CI - 0.51 to - 0.16 ml; P = 1.43 × 10-4), and higher LV mass to end-diastolic volume ratio (β = 0.50 g/ml, 95% CI 0.32 to 0.67 g/ml; P = 6.24 × 10-8) after Bonferroni adjustment. However, no associations of HbA1c and fasting glucose were observed with any LV parameters. Results from sensitivity analyses were consistent with the main findings, but with a slightly attenuated estimate. Multivariable MR analyses provided further evidence for an independent effect of IR on the adverse changes in LV parameters after controlling for HbA1c. CONCLUSIONS Our study suggests that genetic liability to IR rather than those of glycemic levels are associated with adverse changes in LV structure and function, which may strengthen our understanding of IR as a risk factor for heart failure by providing evidence of direct impact on cardiac morphology.
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Affiliation(s)
- Sizhi Ai
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Xiaoyu Wang
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Shanshan Wang
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Yilin Zhao
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Shuxun Guo
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Guohua Li
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Zhigang Chen
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Fei Lin
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Sheng Guo
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Yan Li
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Jihui Zhang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China. .,Guangdong Mental Health Center, Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China. .,Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
| | - Guoan Zhao
- Department of Cardiology, Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China.
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10
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Preconception lifestyle intervention in women with obesity and echocardiographic indices of cardiovascular health in their children. Int J Obes (Lond) 2022; 46:1262-1270. [PMID: 35296791 DOI: 10.1038/s41366-022-01107-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Improving maternal lifestyle before conception may prevent the adverse effects of maternal obesity on their children's future cardiovascular disease (CVD) risk. In the current study, we examined whether a preconception lifestyle intervention in women with obesity could alter echocardiographic indices of cardiovascular health in their children. METHODS Six years after a randomized controlled trial comparing the effects of a 6-month preconception lifestyle intervention in women with obesity and infertility prior to fertility care to prompt fertility care, 315 of the 341 children conceived within 24 months after randomization were eligible for this study. The intervention was aimed at weight loss (≥5% or until BMI < 29 kg/m2). Children underwent echocardiographic assessment of cardiac structure and function, conducted by a single pediatric cardiologist, blinded to group allocation. Results were adjusted for multiple variables including body surface area, age, and sex in linear regression analyses. RESULTS Sixty children (32 girls, 53%) were included, mean age 6.5 years (SD 1.09). Twenty-four children (40%) were born to mothers in the intervention group. Children of mothers from the intervention group had a lower end-diastolic interventricular septum thickness (-0.88 Z-score, 95%CI -1.18 to -0.58), a lower left ventricle mass index (-8.56 g/m2, 95%CI -13.09 to -4.03), and higher peak systolic and early diastolic annular velocity of the left ventricle (1.43 cm/s 95%CI 0.65 to 2.20 and 2.39 cm/s 95%CI 0.68 to 4.11, respectively) compared to children of mothers from the control group. CONCLUSIONS Children of women with obesity, who underwent a preconception lifestyle intervention, had improved cardiac structure and function; a thinner interventricular septum, lower left ventricle mass, and improved systolic and diastolic tissue Doppler velocities. Despite its high attrition rates, our study provides the first experimental human evidence suggesting that preconception lifestyle interventions may present a method of reducing CVD risk in the next generation. CLINICAL TRIAL REGISTRATION LIFEstyle study: Netherlands Trial Register: NTR1530 ( https://www.trialregister.nl/trial/1461 ). This follow-up study was approved by the medical ethics committee of the University Medical Centre Groningen (METC code: 2008/284).
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11
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Tirandi A, Carbone F, Montecucco F, Liberale L. The role of metabolic syndrome in sudden cardiac death risk: Recent evidence and future directions. Eur J Clin Invest 2022; 52:e13693. [PMID: 34714544 PMCID: PMC9286662 DOI: 10.1111/eci.13693] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/23/2021] [Accepted: 09/28/2021] [Indexed: 12/14/2022]
Abstract
Metabolic syndrome (MetS) is a frequent condition whose deleterious effects on the cardiovascular system are often underestimated. MetS is nowadays considered a real pandemic with an estimated prevalence of 25% in general population. Individuals with MetS are at high risk of sudden cardiac death (SCD) as this condition accounts for 50% of all cardiac deaths in such a population. Of interest, recent studies demonstrated that individuals with MetS show 70% increased risk of SCD even without previous history of coronary heart disease (CHD). However, little is known about the interplay between the two conditions. MetS is a complex disease determined by genetic predisposition, unhealthy lifestyle and ageing with deleterious effects on different organs. MetS components trigger a systemic chronic low-grade pro-inflammatory state, associated with excess of sympathetic activity, cardiac hypertrophy, arrhythmias and atherosclerosis. Thus, MetS has an important burden on the cardiovascular system as demonstrated by both preclinical and clinical evidence. The aim of this review is to summarize recent evidence concerning the association between MetS and SCD, showing possible common aetiological processes, and to indicate prospective for future studies and therapeutic targets.
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Affiliation(s)
- Amedeo Tirandi
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy
| | - Federico Carbone
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
| | - Fabrizio Montecucco
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy
| | - Luca Liberale
- First Clinic of Internal Medicine, Department of Internal Medicine, University of Genoa, Genoa, Italy.,Center for Molecular Cardiology, University of Zürich, Schlieren, Switzerland
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12
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Sun Y, Zhang Y, Xu N, Bi C, Liu X, Song W, Jiang Y. Assessing the causal role of hypertension on left atrial and left ventricular structure and function: A two-sample Mendelian randomization study. Front Cardiovasc Med 2022; 9:1006380. [PMID: 36407459 PMCID: PMC9666890 DOI: 10.3389/fcvm.2022.1006380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 10/18/2022] [Indexed: 11/22/2022] Open
Abstract
Aim The aim of this study was to investigate whether hypertension may be causally linked to left atrial (LA) and left ventricular (LV) structure and function. Methods and results We performed a two-Mendelian randomization (MR) analysis implementing the results from the FinnGen large-scale, genome-wide association study for hypertension (N = 218,754), and LV (N = 16,923) and LA studies (N = 35,648) by the UK Biobank to identify genetic instruments. The MR analysis was implemented using an inverse-variance weighted (IVW) approach. We identified a positive potential causal relationship between hypertension and indices for the LA maximum (LAmax with causal estimates of 0.126 [95% CI, (0.093 to 0.160)]); LA minimum (LAmin with causal estimates of 0.122 [95% CI, (0.089 to 0.156)]); LV function (causal estimates are LV end-diastolic volume (LVEDV), 0.078 [95% CI, (0.003 to 0.153)]; LV end-systolic volume (LVESV), 0.102 [95% CI, (0.030 to 0.173)]; LV mass (LVM), 0.171 [95% CI, (0.108 to 0.233)]; and LV mass to end-diastolic volume ratio (LVMVR at 0.098 [95% CI, (0.048 to 0.149)], respectively), which was directionally concordant with other robust MR methods. Other than this, we observed a significantly negative causal relationship between hypertension and the LA active emptying fraction (LAAEF), the LA passive emptying fraction (LAPEF), and the LA total emptying fraction (LATEF). Conclusion Our genetic analyses demonstrated a potential causal relationship between hypertension and the left atrium and left ventricle's structures and functions.
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Affiliation(s)
- Yancui Sun
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Ying Zhang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Nan Xu
- School of Basic Medical Sciences, Henan University, Kaifeng, Henan, China
| | - Cheng Bi
- Department of Cardiology, Tieling Central Hospital, Tieling, Liaoning, China
| | - Xiaojie Liu
- Department of Cardiology, The Liaoyu Hospital of Dalian, Dalian, Liaoning, China
| | - Wei Song
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Yinong Jiang
- Department of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
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13
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Hupin D, Sarajlic P, Venkateshvaran A, Fridén C, Nordgren B, Opava CH, Lundberg IE, Bäck M. Cardiovascular Autonomic Function Changes and Predictors During a 2-Year Physical Activity Program in Rheumatoid Arthritis: A PARA 2010 Substudy. Front Med (Lausanne) 2021; 8:788243. [PMID: 34977091 PMCID: PMC8717774 DOI: 10.3389/fmed.2021.788243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/09/2021] [Indexed: 12/27/2022] Open
Abstract
Background: Chronic inflammation leads to autonomic dysfunction, which may contribute to the increased risk of cardiovascular diseases (CVD) in patients with rheumatoid arthritis (RA). Exercise is known to restore autonomic nervous system (ANS) activity and particularly its parasympathetic component. A practical clinical tool to assess autonomic function, and in particular parasympathetic tone, is heart rate recovery (HRR). The aim of this substudy from the prospective PARA 2010 study was to determine changes in HRR post-maximal exercise electrocardiogram (ECG) after a 2-year physical activity program and to determine the main predictive factors associated with effects on HRR in RA. Methods: Twenty-five participants performed physiotherapist-guided aerobic and muscle-strengthening exercises for 1 year and were instructed to continue the unsupervised physical activity program autonomously in the next year. All participants were examined at baseline and at years 1 and 2 with a maximal exercise ECG on a cycle ergometer. HRR was measured at 1, 2, 3, 4, and 5 min following peak heart rate during exercise. Machine-learning algorithms with the elastic net linear regression models were performed to predict changes in HRR1 and HRR2 at 1 year and 2 years of the PARA program. Results: Mean age was 60 years, range of 41-73 years (88% women). Both HRR1 and HRR2 increased significantly from baseline to year 1 with guided physical activity and decreased significantly from year 1 to year 2 with unsupervised physical activity. Blood pressure response to exercise, low BMI, and muscular strength were the best predictors of HRR1/HRR2 increase during the first year and HRR1/HRR2 decrease during the second year of the PARA program. Conclusion: ANS activity in RA assessed by HRR was improved by guided physical activity, and machine learning allowed to identify predictors of the HRR response at the different time points. HRR could be a relevant marker of the effectiveness of physical activity recommended in patients with RA at high risk of CVD. Very inactive and/or high CVD risk RA patients may get substantial benefits from a physical activity program.
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Affiliation(s)
- David Hupin
- Translational Cardiology, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- INSERM, U1059, SAINBIOSE, Université de Lyon, Université Jean-Monnet, Saint-Etienne, France
- Department of Clinical and Exercise Physiology, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Philip Sarajlic
- Translational Cardiology, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Ashwin Venkateshvaran
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Cecilia Fridén
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Birgitta Nordgren
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Women's Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy and Physiotherapy, Karolinska University Hospital, Stockholm, Sweden
| | - Christina H. Opava
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Rheumatology, Inflammation and Ageing Theme, Karolinska University Hospital, Stockholm, Sweden
| | - Ingrid E. Lundberg
- Rheumatology, Inflammation and Ageing Theme, Karolinska University Hospital, Stockholm, Sweden
- Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm, Sweden
| | - Magnus Bäck
- Translational Cardiology, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
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14
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Lin YK, Tsai KZ, Han CL, Lin YP, Lee JT, Lin GM. Obesity Phenotypes and Electrocardiographic Characteristics in Physically Active Males: CHIEF Study. Front Cardiovasc Med 2021; 8:738575. [PMID: 34722672 PMCID: PMC8548412 DOI: 10.3389/fcvm.2021.738575] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/08/2021] [Indexed: 12/13/2022] Open
Abstract
Background: Metabolically unhealthy obesity (MUO) has been associated with surface electrocardiographic (ECG) left ventricular hypertrophy (LVH), left atrial enlargement (LAE), and inferior T wave inversions (TWI) in the middle- and old-aged populations. However, the relationship between obesity phenotypes and these ECG abnormalities in physically active young adults is yet to be determined. Methods: A total of 2,156 physically active military males aged 18–50 in Taiwan were analyzed. Obesity and metabolically unhealthy status were, respectively, defined as the body mass index ≥27 kg/m2 and the presence of metabolic syndrome based on the ATPIII criteria for Asian male adults. Four groups were classified as the metabolically healthy non-obesity (MHNO, n = 1,484), metabolically unhealthy non-obesity (MUNO, n = 86), metabolically healthy obesity (MHO, n = 376), and MUO (n = 210). ECG-LVH was based on the Sokolow–Lyon and Cornell voltage criteria, ECG-LAE was defined as a notched P wave ≥0.12 s in lead II or a notch of ≥0.04 s, and inferior TWI was defined as one negative T wave axis in limb leads II, III, or aVF. Physical performance was evaluated by time for a 3-km run. Multiple logistic regression analysis with adjustment for age, smoking, alcohol drinking, and physical performance was utilized to investigate the associations between obesity phenotypes and the ECG abnormalities. Results: As compared to MHNO, MUNO, MHO, and MUO were associated with lower risk of Sokolow–Lyon-based ECG-LVH [odds ratios (OR) and 95% confidence intervals: 0.80 (0.51–1.25), 0.46 (0.36–0.58), and 0.39 (0.28–0.53), respectively; p for trend <0.001], and with greater risk of ECG-LAE [OR: 0.87 (0.44–1.72), 2.34 (1.77–3.10), and 3.02 (2.13–4.28), respectively; p for trend <0.001] and inferior TWI [OR: 2.21 (0.74–6.58), 3.49 (1.97–6.19), and 4.52 (2.38–8.60), respectively; p for trend <0.001]. However, no associations between obesity phenotypes and Cornell-based ECG-LVH were found. Conclusion: In physically active young males, obesity was associated with higher risk of ECG-LAE and inferior TWI, whereas the risk between obesity and ECG-LVH might vary by the ECG criteria, possibly due to a high prevalence of exercise induced-LVH in military and greater chest wall thickness in obesity. The cardiovascular prognosis of ECG-LVH in physically active obese adults requires further study.
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Affiliation(s)
- Yu-Kai Lin
- Department of Internal Medicine, Hualien Armed Forces General Hospital, Hualien City, Taiwan.,National Defense Medical Center, Institute of Medical Sciences, Taipei, Taiwan.,Department of Neurology, National Defense Medical Center, Tri-Service General Hospital, Taipei, Taiwan
| | - Kun-Zhe Tsai
- Department of Internal Medicine, Hualien Armed Forces General Hospital, Hualien City, Taiwan.,Department of Dentistry, National Defense Medical Center, Tri-Service General Hospital, Taipei, Taiwan
| | - Chih-Lu Han
- Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yen-Po Lin
- Department of Critical Care Medicine, Taipei Tzu Chi Hospital, New Taipei City, Taiwan
| | - Jiunn-Tay Lee
- National Defense Medical Center, Institute of Medical Sciences, Taipei, Taiwan.,Department of Neurology, National Defense Medical Center, Tri-Service General Hospital, Taipei, Taiwan
| | - Gen-Min Lin
- Department of Internal Medicine, Hualien Armed Forces General Hospital, Hualien City, Taiwan.,Department of Internal Medicine, National Defense Medical Center, Tri-Service General Hospital, Taipei, Taiwan
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15
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Roca Oporto FJ, Pérez García M, Martín Gómez MA. [Use of 48-hour ABPM in specialist care. Experience in our centre]. HIPERTENSION Y RIESGO VASCULAR 2021; 39:8-13. [PMID: 34656460 DOI: 10.1016/j.hipert.2021.09.001] [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: 03/11/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 11/25/2022]
Abstract
Ambulatory blood pressure monitoring (ABPM) is a basic tool in the diagnosis and treatment of hypertension (HT). Validity is based on the number of readings taken and their duration. Our aim was to study in our 48-hour ABPM series whether extending the duration of ABPM to 48 hours is justified. MATERIAL AND METHODS Retrospective analysis of a case series comprising 81 patients with 48-hour ABPM over a 5-year period (2013 to 2018). We analysed the differences between the first and second day. RESULTS Eighty-one patients, 44 men, mean age of 52 years (± 18). The mean blood pressure (BP) was higher on the first day (132/77 mmHg vs. 130/76 mmHg, p ≤ .01) and there was also a greater proportion of patients with HT on the first day (59 vs. 50%; p ≤ .05). The patients with chronic kidney disease (CKD) (n = 33) had higher systolic BP (SBP) on the second night (p ≤ .05), a circadian rhythm of higher risk on the second day (dipper 13.6 vs. 86.4%, non-dipper 60.7 vs. 41.7%, and riser 30.3 vs. 18.8%; p ≤ .05), more diabetes (39%, p ≤ .01) and more left ventricular hypertrophy (LVH) (74%, p ≤ .05). CONCLUSIONS 48-hour ABPM could determine BP readings and circadian rhythm better than 24-hour ABPM, especially in patients with CKD and diabetes, both diseases carrying high cardiovascular risk.
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Affiliation(s)
- F J Roca Oporto
- Servicio de Nefrología, Hospital El Poniente, Almería, España.
| | - M Pérez García
- Servicio de Enfermería Medicina Interna, Hospital Universitario Torrecárdenas, Almería, España
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16
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Obstructive sleep apnoea syndrome and left ventricular hypertrophy: a meta-analysis of echocardiographic studies. J Hypertens 2021; 38:1640-1649. [PMID: 32371766 DOI: 10.1097/hjh.0000000000002435] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
AIM We investigated the association between obstructive sleep apnoea (OSA) and subclinical cardiac organ damage through a meta-analysis of echocardiographic studies that provided data on left ventricular hypertrophy (LVH), assessed as a categorical or continuous variable. DESIGN The PubMed, OVID-MEDLINE, and Cochrane library databases were systematically analyzed to search English-language articles published from 1 January 2000 to 15 August 2019. Studies were detected by using the following terms: 'obstructive sleep apnea', 'sleep quality', 'sleep disordered breathing', 'cardiac damage', 'left ventricular mass', 'left ventricular hypertrophy', and 'echocardiography'. RESULTS Meta-analysis included 5550 patients with OSA and 2329 non-OSA controls from 39 studies. The prevalence of LVH in the pooled OSA population was 45% (CI 35--55%). Meta-analysis of studies comparing the prevalence of LVH in participants with OSA and controls showed that OSA was associated with an increased risk of LVH (OR = 1.70, CI 1.44-2.00, P < 0.001). LV mass was significantly increased in patients with severe OSA as compared with controls (SMD 0.46 ± 0.08, CI 0.29-0.62, P < 0.001) or with mild OSA. This was not the case for studies comparing patients with unselected or predominantly mild OSA and controls (0.33 ± 0.17, CI -0.01 to 0.67, P = 0.057). CONCLUSION The present meta-analysis expands previous information on the relationship between OSA and echocardiographic LVH, so far based on individual studies. The overall evidence strongly suggests that the likelihood of LVH increases with the severity of OSA, thus exhibiting a continuous relationship.
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17
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Sahiti F, Morbach C, Cejka V, Albert J, Eichner FA, Gelbrich G, Heuschmann PU, Störk S. Left Ventricular Remodeling and Myocardial Work: Results From the Population-Based STAAB Cohort Study. Front Cardiovasc Med 2021; 8:669335. [PMID: 34179134 PMCID: PMC8232934 DOI: 10.3389/fcvm.2021.669335] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/06/2021] [Indexed: 12/12/2022] Open
Abstract
Introduction: Left ventricular (LV) dilatation and LV hypertrophy are acknowledged precursors of myocardial dysfunction and ultimately of heart failure, but the implications of abnormal LV geometry on myocardial function are not well-understood. Non-invasive LV myocardial work (MyW) assessment based on echocardiography-derived pressure-strain loops offers the opportunity to study detailed myocardial function in larger cohorts. We aimed to assess the relationship of LV geometry with MyW indices in general population free from heart failure. Methods and Results: We report cross-sectional baseline data from the Characteristics and Course of Heart Failure Stages A-B and Determinants of Progression (STAAB) cohort study investigating a representative sample of the general population of Würzburg, Germany, aged 30–79 years. MyW analysis was performed in 1,926 individuals who were in sinus rhythm and free from valvular disease (49.3% female, 54 ± 12 years). In multivariable regression, higher LV volume was associated with higher global wasted work (GWW) (+0.5 mmHg% per mL/m2, p < 0.001) and lower global work efficiency (GWE) (−0.02% per mL/m2, p < 0.01), while higher LV mass was associated with higher GWW (+0.45 mmHg% per g/m2, p < 0.001) and global constructive work (GCW) (+2.05 mmHg% per g/m2, p < 0.01) and lower GWE (−0.015% per g/m2, p < 0.001). This was dominated by the blood pressure level and also observed in participants with normal LV geometry and concomitant hypertension. Conclusion: Abnormal LV geometric profiles were associated with a higher amount of wasted work, which translated into reduced work efficiency. The pattern of a disproportionate increase in GWW with higher LV mass might be an early sign of hypertensive heart disease.
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Affiliation(s)
- Floran Sahiti
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany.,Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Caroline Morbach
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany.,Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Vladimir Cejka
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany
| | - Judith Albert
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany.,Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Felizitas A Eichner
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany.,Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Götz Gelbrich
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany.,Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.,Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - Peter U Heuschmann
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany.,Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany.,Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - Stefan Störk
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany.,Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
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18
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Raisi-Estabragh Z, Harvey NC, Neubauer S, Petersen SE. Cardiovascular magnetic resonance imaging in the UK Biobank: a major international health research resource. Eur Heart J Cardiovasc Imaging 2021; 22:251-258. [PMID: 33164079 PMCID: PMC7899275 DOI: 10.1093/ehjci/jeaa297] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/12/2020] [Indexed: 12/12/2022] Open
Abstract
The UK Biobank (UKB) is a health research resource of major international importance, incorporating comprehensive characterization of >500 000 men and women recruited between 2006 and 2010 from across the UK. There is prospective tracking of health outcomes for all participants through linkages with national cohorts (death registers, cancer registers, electronic hospital records, and primary care records). The dataset has been enhanced with the UKB imaging study, which aims to scan a subset of 100 000 participants. The imaging protocol includes magnetic resonance imaging of the brain, heart, and abdomen, carotid ultrasound, and whole-body dual X-ray absorptiometry. Since its launch in 2015, over 48 000 participants have completed the imaging study with scheduled completion in 2023. Repeat imaging of 10 000 participants has been approved and commenced in 2019. The cardiovascular magnetic resonance (CMR) scan provides detailed assessment of cardiac structure and function comprising bright blood anatomic assessment (sagittal, coronal, and axial), left and right ventricular cine images (long and short axes), myocardial tagging, native T1 mapping, aortic flow, and imaging of the thoracic aorta. The UKB is an open access resource available to health researchers across all scientific disciplines from both academia and industry with no preferential access or exclusivity. In this paper, we consider how we may best utilize the UKB CMR data to advance cardiovascular research and review notable achievements to date.
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Affiliation(s)
- Zahra Raisi-Estabragh
- William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, Department of Cardiac Imaging, St. Bartholomew's Hospital, Barts Health NHS Trust, London EC1A 7BE, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, OX3 9DU, UK
| | - Steffen E Petersen
- William Harvey Research Institute, Centre for Advanced Cardiovascular Imaging, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, Department of Cardiac Imaging, St. Bartholomew's Hospital, Barts Health NHS Trust, London EC1A 7BE, UK
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Magavern EF, Warren HR, Ng FL, Cabrera CP, Munroe PB, Caulfield MJ. An Academic Clinician's Road Map to Hypertension Genomics: Recent Advances and Future Directions MMXX. Hypertension 2021; 77:284-295. [PMID: 33390048 DOI: 10.1161/hypertensionaha.120.14535] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
At the dawn of the new decade, it is judicious to reflect on the boom of knowledge about polygenic risk for essential hypertension supplied by the wealth of genome-wide association studies. Hypertension continues to account for significant cardiovascular morbidity and mortality, with increasing prevalence anticipated. Here, we overview recent advances in the use of big data to understand polygenic hypertension, as well as opportunities for future innovation to translate this windfall of knowledge into clinical benefit.
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Affiliation(s)
- Emma F Magavern
- From the William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Helen R Warren
- From the William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Fu L Ng
- From the William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Claudia P Cabrera
- From the William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Patricia B Munroe
- From the William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
| | - Mark J Caulfield
- From the William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom
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21
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Littlejohns TJ, Holliday J, Gibson LM, Garratt S, Oesingmann N, Alfaro-Almagro F, Bell JD, Boultwood C, Collins R, Conroy MC, Crabtree N, Doherty N, Frangi AF, Harvey NC, Leeson P, Miller KL, Neubauer S, Petersen SE, Sellors J, Sheard S, Smith SM, Sudlow CLM, Matthews PM, Allen NE. The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions. Nat Commun 2020; 11:2624. [PMID: 32457287 PMCID: PMC7250878 DOI: 10.1038/s41467-020-15948-9] [Citation(s) in RCA: 312] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 04/03/2020] [Indexed: 01/18/2023] Open
Abstract
UK Biobank is a population-based cohort of half a million participants aged 40-69 years recruited between 2006 and 2010. In 2014, UK Biobank started the world's largest multi-modal imaging study, with the aim of re-inviting 100,000 participants to undergo brain, cardiac and abdominal magnetic resonance imaging, dual-energy X-ray absorptiometry and carotid ultrasound. The combination of large-scale multi-modal imaging with extensive phenotypic and genetic data offers an unprecedented resource for scientists to conduct health-related research. This article provides an in-depth overview of the imaging enhancement, including the data collected, how it is managed and processed, and future directions.
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Affiliation(s)
| | - Jo Holliday
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lorna M Gibson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Department of Clinical Radiology, New Royal Infirmary of Edinburgh, Edinburgh, UK
| | | | | | - Fidel Alfaro-Almagro
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Jimmy D Bell
- Research Centre for Optimal Health, University of Westminster, London, UK
| | | | - Rory Collins
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Megan C Conroy
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Nicola Crabtree
- Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | | | - Alejandro F Frangi
- Department of Cardiovascular Sciences and Electrical Engineering, KU Leuven, Leuven, Belgium
- CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine, Schools of Computing and Medicine, University of Leeds, Leeds, UK
| | - Nicholas C Harvey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Paul Leeson
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Karla L Miller
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Stefan Neubauer
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Steffen E Petersen
- William Harvey Research Institute, Queen Mary University of Medicine, London, UK
| | - Jonathan Sellors
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank Coordinating Centre, Stockport, UK
| | | | - Stephen M Smith
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Cathie L M Sudlow
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Paul M Matthews
- Department of Brain Sciences, Imperial College London and UK Dementia Research Institute, London, UK
| | - Naomi E Allen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
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22
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Raisi-Estabragh Z, Petersen SE. Cardiovascular research highlights from the UK Biobank: opportunities and challenges. Cardiovasc Res 2019; 116:e12-e15. [PMID: 31778147 DOI: 10.1093/cvr/cvz294] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Affiliation(s)
- Zahra Raisi-Estabragh
- Department of Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
| | - Steffen E Petersen
- Department of Advanced Cardiovascular Imaging, William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK
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23
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Ehret G. Measured and Genotyped Differences in Blood Pressure and the Usefulness of Precise Extreme Phenotypes Based on Cardiovascular Magnetic Resonance. Hypertension 2019; 74:747-748. [PMID: 31476914 DOI: 10.1161/hypertensionaha.119.13238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Georg Ehret
- From the Division of Cardiology, Geneva University Hospitals, Switzerland
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