201
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Chiang CY, Huang JH, Chiu KM, Chen JS. Impact of Recurrent Mitral Regurgitation on Left Ventricular Mass Regression and Cardiac Events following Mitral Valve Repair. J Clin Med 2023; 13:235. [PMID: 38202242 PMCID: PMC10779914 DOI: 10.3390/jcm13010235] [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: 11/28/2023] [Revised: 12/26/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Mitral valve regurgitation results in volume overload, followed by left ventricular remodeling. Variation of reverse remodeling following mitral repair influences the clinical outcomes. We aimed to evaluate the association between recurrent mitral regurgitation and mass regression following mitral valve repair and the impact on major adverse cardiovascular events. METHODS A retrospective cohort study was conducted on 164 consecutive patients with severe mitral regurgitation who underwent elective mitral valve repair. Subgroups were classified based on the presence of recurrent mitral regurgitation exceeding moderate severity. The hemodynamic parameters were evaluated according to geometry, mass, and function with Doppler echocardiography before and after surgery. Cox regression analysis was performed to evaluate the association between hemodynamics and mass regression and clinical outcomes. RESULTS The results for MR indicated 110 cases with non-recurrent MR and 54 with recurrent MR, along with 31 major adverse cardiovascular events. The tracked echocardiographic results revealed less reduction in dimension and volume, along with less mass regression in the recurrent MR subgroup. Significant differences were revealed in the relative change of the LV end-diastolic volume index and relative mass regression between subgroups. The relative change in the LVEDVI was proportionally correlated with relative mass regression. Cox regression analysis identified correlations with major adverse cardiovascular events, including suture annuloplasty, recurrent mitral regurgitation, tracked LV mass, relative LV mass regression, and systolic dysfunction. CONCLUSION LV mass regression and relative change of the LV end-diastolic volume could be risk predictors of recurrent mitral regurgitation. The extent of LV mass regression is correlated with adverse cardiac events.
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Affiliation(s)
- Chih-Yao Chiang
- Department of Cardiovascular Surgery, Cardiovascular Center, Far Eastern Memorial Hospital, New Taipei City 220216, Taiwan; (C.-Y.C.); (J.-H.H.)
- Division of Cardiovascular Surgery, Department of Surgery, School of Medicine, National Defense Medical Center, Taipei 114201, Taiwan
| | - Jih-Hsin Huang
- Department of Cardiovascular Surgery, Cardiovascular Center, Far Eastern Memorial Hospital, New Taipei City 220216, Taiwan; (C.-Y.C.); (J.-H.H.)
| | - Kuan-Ming Chiu
- Department of Cardiovascular Surgery, Cardiovascular Center, Far Eastern Memorial Hospital, New Taipei City 220216, Taiwan; (C.-Y.C.); (J.-H.H.)
| | - Jer-Shen Chen
- Department of Cardiovascular Surgery, Cardiovascular Center, Far Eastern Memorial Hospital, New Taipei City 220216, Taiwan; (C.-Y.C.); (J.-H.H.)
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202
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Chokesuwattanaskul R, Petchlorlian A, Lertsanguansinchai P, Suttirut P, Prasitlumkum N, Srimahachota S, Buddhari W. Machine Learning-Based Predictive Model of Aortic Valve Replacement Modality Selection in Severe Aortic Stenosis Patients. Med Sci (Basel) 2023; 12:3. [PMID: 38249079 PMCID: PMC10801609 DOI: 10.3390/medsci12010003] [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: 10/29/2023] [Revised: 12/13/2023] [Accepted: 12/20/2023] [Indexed: 01/23/2024] Open
Abstract
The current recommendation for bioprosthetic valve replacement in severe aortic stenosis (AS) is either surgical aortic valve replacement (SAVR) or transcatheter aortic valve replacement (TAVR). We evaluated the performance of a machine learning-based predictive model using existing periprocedural variables for valve replacement modality selection. We analyzed 415 patients in a retrospective longitudinal cohort of adult patients undergoing aortic valve replacement for aortic stenosis. A total of 72 clinical variables including demographic data, patient comorbidities, and preoperative investigation characteristics were collected on each patient. We fit models using LASSO (least absolute shrinkage and selection operator) and decision tree techniques. The accuracy of the prediction on confusion matrix was used to assess model performance. The most predictive independent variable for valve selection by LASSO regression was frailty score. Variables that predict SAVR consisted of low frailty score (value at or below 2) and complex coronary artery diseases (DVD/TVD). Variables that predicted TAVR consisted of high frailty score (at or greater than 6), history of coronary artery bypass surgery (CABG), calcified aorta, and chronic kidney disease (CKD). The LASSO-generated predictive model achieved 98% accuracy on valve replacement modality selection from testing data. The decision tree model consisted of fewer important parameters, namely frailty score, CKD, STS score, age, and history of PCI. The most predictive factor for valve replacement selection was frailty score. The predictive models using different statistical learning methods achieved an excellent concordance predictive accuracy rate of between 93% and 98%.
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Affiliation(s)
- Ronpichai Chokesuwattanaskul
- Division of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Center of Excellence in Arrhythmia Research, Chulalongkorn University, Bangkok 10330, Thailand; (R.C.); (P.L.); (P.S.); (S.S.); (W.B.)
- Cardiac Center, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Aisawan Petchlorlian
- Division of Geriatric Medicine, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand;
- Geriatric Excellence Center, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Piyoros Lertsanguansinchai
- Division of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Center of Excellence in Arrhythmia Research, Chulalongkorn University, Bangkok 10330, Thailand; (R.C.); (P.L.); (P.S.); (S.S.); (W.B.)
- Cardiac Center, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Paramaporn Suttirut
- Division of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Center of Excellence in Arrhythmia Research, Chulalongkorn University, Bangkok 10330, Thailand; (R.C.); (P.L.); (P.S.); (S.S.); (W.B.)
- Cardiac Center, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Narut Prasitlumkum
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 559020, USA
| | - Suphot Srimahachota
- Division of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Center of Excellence in Arrhythmia Research, Chulalongkorn University, Bangkok 10330, Thailand; (R.C.); (P.L.); (P.S.); (S.S.); (W.B.)
- Cardiac Center, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
| | - Wacin Buddhari
- Division of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Center of Excellence in Arrhythmia Research, Chulalongkorn University, Bangkok 10330, Thailand; (R.C.); (P.L.); (P.S.); (S.S.); (W.B.)
- Cardiac Center, King Chulalongkorn Memorial Hospital, The Thai Red Cross Society, Bangkok 10330, Thailand
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203
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Zhou H, Liu F, Liu Y, He X, Ma H, Xu M, Wang H, Zhang G, Cai X, Chen JY, Guo L, Chen J. Protocol for the PORT study: short-term perioperative rehabilitation to improve outcomes in cardiac valvular surgery - a randomised control trial. BMJ Open 2023; 13:e074837. [PMID: 38135333 DOI: 10.1136/bmjopen-2023-074837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2023] Open
Abstract
INTRODUCTION Perioperative rehabilitation (PORT) has shown a positive effect on patients undergoing cardiac surgery. However, there are minimal data on the impact of short-term PORT in cardiac surgery, which is associated with higher postoperative morbidity and mortality. The trial will assess the efficacy of short-term PORT in reducing in-hospital mortality, postoperative pulmonary complications and length of stay, compared with the usual care in cardiac surgical patients. METHODS AND ANALYSIS This is a single-centre prospective, randomised, open, controlled trial with a 1:1 ratio. Consecutive 800 adult patients undergoing elective valve surgery will be randomised to either usual care or in-hospital short-term PORT that consists of education, inspiratory muscle training, active cycle of breathing techniques and early mobilisation. The primary outcome of this study will be a composite of in-hospital all-cause mortality, incidence of postoperative pulmonary complications and the ratio of postoperative hospitalisation >7 days. ETHICS AND DISSEMINATION The PORT study was granted by the Medical Research Ethics Committee of Guangdong Provincial People's Hospital in August 2018. Findings will be disseminated to patients, clinicians and commissioning groups through peer-reviewed publication. TRIAL REGISTRATION NUMBER NCT03709511.
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Affiliation(s)
- Haofeng Zhou
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Fengyao Liu
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Yuanhui Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Xuyu He
- Department of Cardiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Huan Ma
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Mingyu Xu
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
| | - Haochen Wang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Guolin Zhang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Xiangyu Cai
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Ji-Yan Chen
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Lan Guo
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jimei Chen
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
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204
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Zou J, Yuan J, Liu J, Geng Q. Impact of cardiac rehabilitation on pre- and post-operative transcatheter aortic valve replacement prognoses. Front Cardiovasc Med 2023; 10:1164104. [PMID: 38152609 PMCID: PMC10751363 DOI: 10.3389/fcvm.2023.1164104] [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: 02/12/2023] [Accepted: 11/28/2023] [Indexed: 12/29/2023] Open
Abstract
Transcatheter aortic valve replacement (TAVR) is a relatively new treatment method for aortic stenosis (AS) and has been demonstrated to be suitable for patients with varying risk levels. Indeed, among high-risk patients, TAVR outcomes are comparable to, or even better, than that of the traditional surgical aortic valve replacement (SAVR) method. TAVR outcomes, with respect to post-surgical functional capacity and quality of life, have also been found to be improved, especially when combined with cardiac rehabilitation (CR). CR is a multidisciplinary system, which integrates cardiology with other medical disciplines, such as sports, nutritional, mind-body, and behavioral medicine. It entails the development of appropriate medication, exercise, and diet prescriptions, along with providing psychological support, ensuring the cessation of smoking, and developing risk factor management strategies for cardiovascular disease patients. However, even with CR being able to improve TAVR outcomes and reduce post-surgical mortality rates, it still has largely been underutilized in clinical settings. This article reviews the usage of CR during both pre-and postoperative periods for valvular diseases, and the factors involved in influencing subsequent patient prognoses, thereby providing a direction for subsequent research and clinical applications.
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Affiliation(s)
- Jieru Zou
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
| | - Jie Yuan
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Jingjin Liu
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
| | - Qingshan Geng
- The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China
- Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
- Department of Cardiology, Shenzhen Cardiovascular Minimally Invasive Medical Engineering Technology Research and Development Center, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China
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205
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Delgado V, Ajmone Marsan N, Bonow RO, Hahn RT, Norris RA, Zühlke L, Borger MA. Degenerative mitral regurgitation. Nat Rev Dis Primers 2023; 9:70. [PMID: 38062018 PMCID: PMC11895844 DOI: 10.1038/s41572-023-00478-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/31/2023] [Indexed: 12/18/2023]
Abstract
Degenerative mitral regurgitation is a major threat to public health and affects at least 24 million people worldwide, with an estimated 0.88 million disability-adjusted life years and 34,000 deaths in 2019. Improving access to diagnostic testing and to timely curative therapies such as surgical mitral valve repair will improve the outcomes of many individuals. Imaging such as echocardiography and cardiac magnetic resonance allow accurate diagnosis and have provided new insights for a better definition of the most appropriate timing for intervention. Advances in surgical techniques allow minimally invasive treatment with durable results that last for ≥20 years. Transcatheter therapies can provide good results in select patients who are considered high risk for surgery and have a suitable anatomy; the durability of such repairs is up to 5 years. Translational science has provided new knowledge on the pathophysiology of degenerative mitral regurgitation and may pave the road to the development of medical therapies that could be used to halt the progression of the disease.
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Affiliation(s)
| | - Nina Ajmone Marsan
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Robert O Bonow
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rebecca T Hahn
- Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | - Russell A Norris
- Department of Regenerative Medicine and Cell Biology, Medical University of South Carolina, Charleston, SC, USA
| | - Liesl Zühlke
- South African Medical Research Council, Cape Town, South Africa
- Division of Paediatric Cardiology, Department of Paediatrics, Institute of Child Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Michael A Borger
- University Department of Cardiac Surgery, Leipzig Heart Center, Leipzig, Germany
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206
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Sugunesegran R, Harrison S, Parry D, Sneddon K, de Lange M, Galvin S, Stewart R, Wong B, Whalley G, Davis P, Coffey S. Ethnicity Is Associated With Differing Presentation and Outcomes of Patients Undergoing Aortic Valve Replacement for Calcific Aortic Stenosis in Aotearoa New Zealand. Heart Lung Circ 2023; 32:1512-1519. [PMID: 38030471 DOI: 10.1016/j.hlc.2023.08.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/19/2023] [Accepted: 08/07/2023] [Indexed: 12/01/2023]
Abstract
AIM Surgical aortic valve replacement (SAVR) has been the gold standard for treatment of severe symptomatic aortic stenosis (AS) for decades. We examined whether ethnic differences exist in the presentation and outcomes of patients undergoing aortic valve replacement (AVR) for AS in New Zealand. METHODS Patients of New Zealand European, Māori, and Pacific Island ethnicities undergoing SAVR with or without other procedures in New Zealand public hospitals from 2017 to 2019 were included. Major postoperative outcomes were compared between ethnic groups, with 30-day mortality being the primary outcome. RESULTS A total of 1,175 patients were included: 1,085 European, 50 Māori, and 40 Pacific. The mean age was 71.1±9.4 years, and men accounted for more than half of all patients (69.9%). Māori (64.7±9.4 years) and Pacific (65.4±10.1 years) patients were younger when undergoing SAVR compared with European patients (71.7±9.2; analysis of variance p<0.001). Māori and Pacific patients had a higher prevalence of diabetes, poorer renal function, and worse left ventricular function; 30-day mortality was higher in Māori and Pacific compared with European patients (6% and 10% vs 2.4%, respectively; Fisher's exact test p=0.011), with odds ratio of 3.06 (95% confidence interval [CI] 0.88-10.66) for Māori patients after adjustment for EuroSCORE II and odds ratio of 5.23 (95% CI 1.79-16.07) for Pacific patients. CONCLUSIONS There are significant differences in presentation and outcomes of patients undergoing AVR in New Zealand. Māori and Pacific patients undergo SAVR at a younger age, have more preoperative comorbidities, and have higher rates of 30-day mortality than European patients.
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Affiliation(s)
| | - Sally Harrison
- Department of Cardiothoracic Surgery, Dunedin Hospital, Dunedin, New Zealand
| | - Dominic Parry
- Department of Cardiothoracic Surgery, Dunedin Hospital, Dunedin, New Zealand; New Zealand National Cardiac Surgical Clinical Network, Wellington, New Zealand
| | - Katherine Sneddon
- Department of Medicine, HeartOtago, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Michel de Lange
- Department of Biostatistics, University of Otago, Dunedin, New Zealand; Pacific Edge Ltd., Dunedin, New Zealand
| | - Sean Galvin
- New Zealand National Cardiac Surgical Clinical Network, Wellington, New Zealand; Department of Cardiothoracic Surgery, Wellington Hospital, Wellington, New Zealand
| | - Ralph Stewart
- Department of Cardiology, Auckland City Hospital, Auckland, New Zealand
| | - Bernard Wong
- Department of Cardiology, North Shore Hospital, Auckland, New Zealand
| | - Gillian Whalley
- Department of Medicine, HeartOtago, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Philip Davis
- Department of Cardiothoracic Surgery, Dunedin Hospital, Dunedin, New Zealand; New Zealand National Cardiac Surgical Clinical Network, Wellington, New Zealand
| | - Sean Coffey
- Department of Medicine, HeartOtago, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand; Department of Cardiology, Dunedin Hospital, Dunedin, New Zealand.
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207
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Tang C, Song Y, Huang X, Li Y, Tuerxun Y, Hu X, Li H, Wu L. Surgical treatment of Behcet's disease with severe aortic regurgitation. Front Cardiovasc Med 2023; 10:1290615. [PMID: 38054086 PMCID: PMC10694211 DOI: 10.3389/fcvm.2023.1290615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 10/30/2023] [Indexed: 12/07/2023] Open
Abstract
Behcet's disease (BD) is a multisystem inflammatory disease that is characterized by oral aphthosis, genital aphthosis, ocular lesions, and cutaneous lesions. Although BD rarely affects the cardiovascular system, its symptoms can be shown as aortic regurgitation (AR), which requires surgical intervention. Due to the special pathogenesis of BD, a low preoperative diagnosis rate and a high incidence of serious complications, such as perivalvular leakage, valve detachment, and pseudoaneurysm after prosthetic valve replacement, surgical treatment of BD with severe AR has a poor prognosis. In recent years, new surgical strategies have been developed to improve treatment efficacy for this disease. This article reviews and summarizes the evolution of surgical techniques for BD with AR and aims to provide a reference for optimizing surgical strategies, improving perioperative management, and assisting prognosis in patients suffering from BD with severe AR.
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Affiliation(s)
- Chuanbin Tang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Song
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaofan Huang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanming Li
- Second Affiliated Hospital, Xinjiang Medical University, Urumqi, China
| | | | - Xingjian Hu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huadong Li
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Long Wu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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208
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Wei S, Miranda JJ, Mamas MA, Zühlke LJ, Kontopantelis E, Thabane L, Van Spall HGC. Sex differences in the etiology and burden of heart failure across country income level: analysis of 204 countries and territories 1990-2019. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2023; 9:662-672. [PMID: 36577147 PMCID: PMC10627811 DOI: 10.1093/ehjqcco/qcac088] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/19/2022] [Accepted: 12/26/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Heart failure (HF) is a global epidemic. OBJECTIVE To assess global sex differences in HF epidemiology across country income levels. METHODS AND RESULTS Using Global Burden of Disease (GBD) data from 204 countries and territories 1990-2019, we assessed sex differences in HF prevalence, etiology, morbidity, and temporal trends across country sociodemographic index or gross national income. We derived age-standardized rates. Of 56.2 million (95% uncertainty interval [UI] 46.4-67.8 million) people with HF in 2019, 50.3% were females and 69.2% lived in low- and middle-income countries; age-standardized prevalence was greater in males and in high-income countries. Ischaemic and hypertensive heart disease were top causes of HF in males and females, respectively. There were 5.1 million (95% UI 3.3-7.3 million) years lived with disability, distributed equally between sexes. Between 1990 and 2019, there was an increase in HF cases, but a decrease in age-standardized rates per 100 000 in males (9.1%, from 864.2 to 785.7) and females (5.8%, from 686.0 to 646.1). High-income regions experienced a 16.0% decrease in age-standardized rates (from 877.5 to 736.8), while low-income regions experienced a 3.9% increase (from 612.1 to 636.0), largely consistent across sexes. There was a temporal increase in age-standardized HF from hypertensive, rheumatic, and calcific aortic valvular heart disease, and a decrease from ischaemic heart disease, with regional and sex differences. CONCLUSION Age-standardized HF rates have decreased over time, with larger decreases in males than females; and with large decreases in high-income and small increases in low-income regions. Sex and regional differences offer targets for intervention.
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Affiliation(s)
- Sunny Wei
- Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
| | - J Jamie Miranda
- Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Lima 15102, Peru
| | - Mamas A Mamas
- Cardiovascular Research Group, Keele University, Stoke-on-Trent ST5 5BG, UK
| | - Liesl J Zühlke
- Division of Paediatric Cardiology, Department of Paediatrics, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town 7700, South Africa
| | - Evan Kontopantelis
- Division of Informatics, Imaging and Data Science, The University of Manchester, Manchester M13 9PL, UK
| | - Lehana Thabane
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON L8S 4K1, Canada
- St. Joseph's Healthcare, Research Institute of St. Joseph's, Hamilton, ON L8N 4A6, Canada
- Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa
| | - Harriette G C Van Spall
- Department of Medicine, McMaster University, Hamilton, ON L8N 3Z5, Canada
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON L8S 4K1, Canada
- Faculty of Health Sciences, University of Johannesburg, Johannesburg 2006, South Africa
- Hamilton Health Sciences, Population Health Research Institute, Hamilton, ON L8L 2X2, Canada
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209
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Han Y, Zhang J, Yang Z, Jian W, Zhu Y, Gao S, Liu Y, Li Y, He S, Zhang C, Li Y, You B, Liu J, Du J. Palmdelphin Deficiency Evokes NF-κB Signaling in Valvular Endothelial Cells and Aggravates Aortic Valvular Remodeling. JACC Basic Transl Sci 2023; 8:1457-1472. [PMID: 38093741 PMCID: PMC10714178 DOI: 10.1016/j.jacbts.2023.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/12/2023] [Accepted: 06/12/2023] [Indexed: 01/24/2024]
Abstract
Palmd-deficient mice of advanced age manifest increased aortic valve peak velocity, thickened aortic valve leaflets, and excessive extracellular matrix deposition, which are key features of calcific aortic valve disease. PALMD is predominantly expressed in endothelial cells of aortic valves, and PALMD-silenced valvular endothelial cells are prone to oscillatory shear stress-induced endothelial-to-mesenchymal transition. Mechanistically, PALMD is associated with TNFAIP3 interaction protein 1, a binding protein of TNFAIP3 and IKBKG in NF-κB signaling. Loss of PALMD impairs TNFAIP3-dependent deubiquitinating activity and promotes the ubiquitination of IKBKG and subsequent NF-κB activation. Adeno-associated virus-mediated PALMD overexpression ameliorates aortic valvular remodeling in mice with calcific aortic valve disease, indicating protection.
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Affiliation(s)
- Yingchun Han
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Jichao Zhang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Zhao Yang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wen Jian
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yuexin Zhu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Shijuan Gao
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Yan Liu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Yingkai Li
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Songyuan He
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Congcong Zhang
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Yang Li
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
| | - Bin You
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jinghua Liu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jie Du
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Institute of Heart, Lung and Vascular Diseases, Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, China
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Rogatinsky J, Recco D, Feichtmeier J, Kang Y, Kneier N, Hammer P, O’Leary E, Mah D, Hoganson D, Vasilyev NV, Ranzani T. A multifunctional soft robot for cardiac interventions. SCIENCE ADVANCES 2023; 9:eadi5559. [PMID: 37878705 PMCID: PMC10599628 DOI: 10.1126/sciadv.adi5559] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 09/26/2023] [Indexed: 10/27/2023]
Abstract
In minimally invasive endovascular procedures, surgeons rely on catheters with low dexterity and high aspect ratios to reach an anatomical target. However, the environment inside the beating heart presents a combination of challenges unique to few anatomic locations, making it difficult for interventional tools to maneuver dexterously and apply substantial forces on an intracardiac target. We demonstrate a millimeter-scale soft robotic platform that can deploy and self-stabilize at the entrance to the heart, and guide existing interventional tools toward a target site. In two exemplar intracardiac procedures within the right atrium, the robotic platform provides enough dexterity to reach multiple anatomical targets, enough stability to maintain constant contact on motile targets, and enough mechanical leverage to generate newton-level forces. Because the device addresses ongoing challenges in minimally invasive intracardiac intervention, it may enable the further development of catheter-based interventions.
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Affiliation(s)
- Jacob Rogatinsky
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA
| | - Dominic Recco
- Department of Cardiac Surgery, Boston Children’s Hospital, Boston, MA 02115, USA
| | | | - Yuchen Kang
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA
| | - Nicholas Kneier
- Department of Cardiac Surgery, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Peter Hammer
- Department of Cardiac Surgery, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Edward O’Leary
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Douglas Mah
- Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - David Hoganson
- Department of Cardiac Surgery, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Nikolay V. Vasilyev
- Department of Cardiac Surgery, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Tommaso Ranzani
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA
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211
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Jia C, Zeng Y, Huang X, Yang H, Qu Y, Hu Y, Chen W, Yang X. Lifestyle patterns, genetic susceptibility, and risk of valvular heart disease: a prospective cohort study based on the UK Biobank. Eur J Prev Cardiol 2023; 30:1665-1673. [PMID: 37259902 DOI: 10.1093/eurjpc/zwad177] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 06/02/2023]
Abstract
AIMS Genetic and lifestyle factors are both major contributors to valvular heart disease (VHD). However, it is still uncertain whether genetic susceptibility alters the association between lifestyle and VHD. We aimed to investigate the association between lifestyle and VHD in different genetic risk backgrounds. METHODS AND RESULTS A prospective cohort study was carried out on 499 341 participants without VHD at baseline. The assessment of lifestyle included smoking, alcohol consumption, diet, activity, and sleep. Genetic susceptibility was separately measured by polygenic risk scores (PRSs) and family history of cardiovascular disease (CVD). Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (95%CIs) between lifestyle and VHD, as well as aortic stenosis (AS). During a median follow-up of 10.8 years, 12 983 incident VHD cases were diagnosed (incidence rate 2.46 per 1000 person-years), including 3527 AS cases (incidence rate 0.66 per 1000 person-years). The risk of VHD and AS decreased with healthier lifestyles (P value for trend <0.001). Compared to individuals with a unhealthy lifestyle, the HRs of VHD in intermediate and healthy lifestyle groups were 0.81 (0.76-0.86) and 0.81 (0.76-0.87). The negative association between healthy lifestyle and VHD events was independent of genetic risk (P for interaction between healthy lifestyle scores and PRSs/family history of CVD was 0.723/0.763). Similar findings were obtained in analyses of AS, and a stronger negative association was found. CONCLUSION Our study reveals that adherence to a healthy lifestyle is significantly associated with a reduced risk of VHD especially AS, irrespective of genetic susceptibility. SUMMARY Based on a cohort of around 490 000 participants, the study investigated the association between lifestyle and VHD under different stratifications of genetic risk. The study found that a healthy lifestyle was associated with a lower risk of VHD, particularly AS, independent of genetic risk. Our findings suggest that advance interventions for lifestyle may be an effective way to reduce the global burden of VHD.
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Affiliation(s)
- Chenglin Jia
- Department of Cardiovascular Surgery, West China Biomedical Big Data Center and Med-X Center for Informatics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital/West China School of Medicine, and Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
| | - Yu Zeng
- Department of Cardiovascular Surgery and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
- Med-X Center for Informatics, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
| | - Xuan Huang
- Department of Cardiovascular Surgery and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
- Med-X Center for Informatics, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
| | - Huazhen Yang
- Department of Cardiovascular Surgery and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
- Med-X Center for Informatics, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
| | - Yuanyuan Qu
- Department of Cardiovascular Surgery and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
- Med-X Center for Informatics, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
| | - Yao Hu
- Department of Cardiovascular Surgery and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
- Med-X Center for Informatics, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
| | - Wenwen Chen
- Department of Cardiovascular Surgery and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
- Med-X Center for Informatics, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
| | - Xiaoyan Yang
- Department of Cardiovascular Surgery and West China Biomedical Big Data Center, West China Hospital/West China School of Medicine, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
- Med-X Center for Informatics, Sichuan University, No. 37 Guoxue Xiang, Chengdu, Sichuan 610041, China
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Farina JM, Pereyra M, Mahmoud AK, Scalia IG, Abbas MT, Chao CJ, Barry T, Ayoub C, Banerjee I, Arsanjani R. Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography. J Imaging 2023; 9:236. [PMID: 37998083 PMCID: PMC10672462 DOI: 10.3390/jimaging9110236] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 10/18/2023] [Accepted: 10/24/2023] [Indexed: 11/25/2023] Open
Abstract
Chest radiography (CXR) is the most frequently performed radiological test worldwide because of its wide availability, non-invasive nature, and low cost. The ability of CXR to diagnose cardiovascular diseases, give insight into cardiac function, and predict cardiovascular events is often underutilized, not clearly understood, and affected by inter- and intra-observer variability. Therefore, more sophisticated tests are generally needed to assess cardiovascular diseases. Considering the sustained increase in the incidence of cardiovascular diseases, it is critical to find accessible, fast, and reproducible tests to help diagnose these frequent conditions. The expanded focus on the application of artificial intelligence (AI) with respect to diagnostic cardiovascular imaging has also been applied to CXR, with several publications suggesting that AI models can be trained to detect cardiovascular conditions by identifying features in the CXR. Multiple models have been developed to predict mortality, cardiovascular morphology and function, coronary artery disease, valvular heart diseases, aortic diseases, arrhythmias, pulmonary hypertension, and heart failure. The available evidence demonstrates that the use of AI-based tools applied to CXR for the diagnosis of cardiovascular conditions and prognostication has the potential to transform clinical care. AI-analyzed CXRs could be utilized in the future as a complimentary, easy-to-apply technology to improve diagnosis and risk stratification for cardiovascular diseases. Such advances will likely help better target more advanced investigations, which may reduce the burden of testing in some cases, as well as better identify higher-risk patients who would benefit from earlier, dedicated, and comprehensive cardiovascular evaluation.
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Affiliation(s)
- Juan M. Farina
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
| | - Milagros Pereyra
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
| | - Ahmed K. Mahmoud
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
| | - Isabel G. Scalia
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
| | - Mohammed Tiseer Abbas
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
| | - Chieh-Ju Chao
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Timothy Barry
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
| | - Chadi Ayoub
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
| | - Imon Banerjee
- Department of Radiology, Mayo Clinic, Phoenix, AZ 85054, USA;
| | - Reza Arsanjani
- Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, AZ 85054, USA (M.P.); (M.T.A.); (T.B.)
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Andreeva A, Coti I, Werner P, Scherzer S, Kocher A, Laufer G, Andreas M. Aortic Valve Replacement in Adult Patients with Decellularized Homografts: A Single-Center Experience. J Clin Med 2023; 12:6713. [PMID: 37959179 PMCID: PMC10650916 DOI: 10.3390/jcm12216713] [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: 09/01/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND decellularized aortic homografts (DAH) represent a promising alternative for aortic valve replacement in young adults due to their low immunogenicity and thrombogenicity. Herein, we report our midterm, single-center experience in adult patients with non-frozen DAH from corlife. METHODS safety, durability, and hemodynamic performance were evaluated according to current guidelines in all consecutive patients who had received a DAH at our center since 03/2016. RESULTS seventy-three (mean age 47 ± 11 years, 68.4% (n = 50) male) patients were enrolled. The mean diameter of the implanted DAH was 24 ± 2 mm. Mean follow-up was 36 ± 27 months, with a maximum follow-up of 85 months and cumulative follow-up of 215 years. No cases of stenosis were observed, in four (5.5%) cases moderate aortic regurgitation occurred, but no reintervention was required. No cases of early mortality, non-structural dysfunction, reoperation, valve endocarditis, or thrombosis were observed. Freedom from bleeding and thromboembolic events was 100%; freedom from re-intervention was 100%; survival was 98.6% (n = 72). CONCLUSIONS early and mid-term results showed low mortality and 100% freedom from reoperation, thromboembolic events, and bleeding at our center. However, in order for this novel approach to be established as a valid alternative to aortic valve replacement in young patients, long-term data are required.
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Affiliation(s)
- Alexandra Andreeva
- Department of Cardiac Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (I.C.); (P.W.); (S.S.); (A.K.); (G.L.); (M.A.)
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Martín-Núñez E, Goñi-Olóriz M, Matilla L, Garaikoetxea M, Mourino-Alvarez L, Navarro A, Fernández-Celis A, Tamayo I, Gainza A, Álvarez V, Sádaba R, Barderas MG, Jover E, López-Andrés N. Influence of diabetes mellitus on the pathological profile of aortic stenosis: a sex-based approach. Cardiovasc Diabetol 2023; 22:280. [PMID: 37848892 PMCID: PMC10583330 DOI: 10.1186/s12933-023-02009-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 09/26/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND Diabetes mellitus (DM) accelerates the progression of aortic stenosis (AS), but how their underlying molecular mechanisms interact is not clear. Moreover, whether DM contributes to clinically relevant sex-differences in AS is unknown. In this work we aim to characterize the sex-specific profile of major pathological mechanisms fundamental to aortic valve (AV) degeneration in AS patients with or without concomitant DM. METHODS 283 patients with severe AS undergoing surgical valve replacement (27.6% DM, 59.4% men) were recruited. Expression of pathological markers related to AS were thoroughly assessed in AVs and valve interstitial cells (VICs) according to sex and presence of DM. Complementary in vitro experiments in VICs in the presence of high-glucose levels (25 mM) for 24, 48 and 72 h were performed. RESULTS Oxidative stress and metabolic dysfunction markers were increased in AVs from diabetic AS patients compared to non-diabetic patients in both sexes. However, disbalanced oxidative stress and enhanced inflammation were more predominant in AVs from male AS diabetic patients. Osteogenic markers were exclusively increased in the AVs of diabetic women. Basal characterization of VICs confirmed that oxidative stress, inflammation, calcification, and metabolic alteration profiles were increased in diabetic VICs with sex-specific differences. VICs cultured in hyperglycemic-like conditions triggered inflammatory responses in men, whereas in women rapid and higher production of pro-osteogenic molecules. CONCLUSIONS DM produces sex-specific pathological phenotypes in AV of AS patients. Importantly, women with diabetes are more prone to develop AV calcification. DM should be considered as a risk factor in AS especially in women.
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Affiliation(s)
- Ernesto Martín-Núñez
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Miriam Goñi-Olóriz
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Lara Matilla
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Mattie Garaikoetxea
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Laura Mourino-Alvarez
- Department of Vascular Physiopathology, Hospital Nacional de Parapléjicos, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Toledo, Spain
- Hospital Nacional de Paraplejicos, Servicio de Salud de Castilla-La Mancha (SESCAM), Toledo, Spain
| | - Adela Navarro
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Amaya Fernández-Celis
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Ibai Tamayo
- Research Methodology Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), IdiSNA, Pamplona, Spain
| | - Alicia Gainza
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Virginia Álvarez
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - Rafael Sádaba
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain
| | - María G Barderas
- Department of Vascular Physiopathology, Hospital Nacional de Parapléjicos, Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), Toledo, Spain
- Hospital Nacional de Paraplejicos, Servicio de Salud de Castilla-La Mancha (SESCAM), Toledo, Spain
| | - Eva Jover
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain.
| | - Natalia López-Andrés
- Cardiovascular Translational Research, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), C/Irunlarrea 3, 31008, Pamplona, Spain.
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215
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Prince J, Maidens J, Kieu S, Currie C, Barbosa D, Hitchcock C, Saltman A, Norozi K, Wiesner P, Slamon N, Del Grippo E, Padmanabhan D, Subramanian A, Manjunath C, Chorba J, Venkatraman S. Deep Learning Algorithms to Detect Murmurs Associated With Structural Heart Disease. J Am Heart Assoc 2023; 12:e030377. [PMID: 37830333 PMCID: PMC10757522 DOI: 10.1161/jaha.123.030377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 09/11/2023] [Indexed: 10/14/2023]
Abstract
Background The success of cardiac auscultation varies widely among medical professionals, which can lead to missed treatments for structural heart disease. Applying machine learning to cardiac auscultation could address this problem, but despite recent interest, few algorithms have been brought to clinical practice. We evaluated a novel suite of Food and Drug Administration-cleared algorithms trained via deep learning on >15 000 heart sound recordings. Methods and Results We validated the algorithms on a data set of 2375 recordings from 615 unique subjects. This data set was collected in real clinical environments using commercially available digital stethoscopes, annotated by board-certified cardiologists, and paired with echocardiograms as the gold standard. To model the algorithm in clinical practice, we compared its performance against 10 clinicians on a subset of the validation database. Our algorithm reliably detected structural murmurs with a sensitivity of 85.6% and specificity of 84.4%. When limiting the analysis to clearly audible murmurs in adults, performance improved to a sensitivity of 97.9% and specificity of 90.6%. The algorithm also reported timing within the cardiac cycle, differentiating between systolic and diastolic murmurs. Despite optimizing acoustics for the clinicians, the algorithm substantially outperformed the clinicians (average clinician accuracy, 77.9%; algorithm accuracy, 84.7%.) Conclusions The algorithms accurately identified murmurs associated with structural heart disease. Our results illustrate a marked contrast between the consistency of the algorithm and the substantial interobserver variability of clinicians. Our results suggest that adopting machine learning algorithms into clinical practice could improve the detection of structural heart disease to facilitate patient care.
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Affiliation(s)
| | | | | | | | | | | | | | - Kambiz Norozi
- Department of Pediatrics, Pediatric CardiologyWestern UniversityLondonONCanada
- Department of Pediatric Cardiology and Intensive Care MedicineHannover Medical SchoolHannoverGermany
- Children Health Research InstituteLondonONCanada
| | | | | | | | - Deepak Padmanabhan
- Sri Jayadeva Institute of Cardiovascular Sciences and ResearchBengaluruIndia
| | - Anand Subramanian
- Sri Jayadeva Institute of Cardiovascular Sciences and ResearchBengaluruIndia
| | | | - John Chorba
- Division of Cardiology, Zuckerberg San Francisco General Hospital, Department of MedicineUniversity of California San FranciscoSan FranciscoCAUSA
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Yacoub MH, Tseng YT, Kluin J, Vis A, Stock U, Smail H, Sarathchandra P, Aikawa E, El-Nashar H, Chester AH, Shehata N, Nagy M, El-Sawy A, Li W, Burriesci G, Salmonsmith J, Romeih S, Latif N. Valvulogenesis of a living, innervated pulmonary root induced by an acellular scaffold. Commun Biol 2023; 6:1017. [PMID: 37805576 PMCID: PMC10560219 DOI: 10.1038/s42003-023-05383-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 09/21/2023] [Indexed: 10/09/2023] Open
Abstract
Heart valve disease is a major cause of mortality and morbidity worldwide with no effective medical therapy and no ideal valve substitute emulating the extremely sophisticated functions of a living heart valve. These functions influence survival and quality of life. This has stimulated extensive attempts at tissue engineering "living" heart valves. These attempts utilised combinations of allogeneic/ autologous cells and biological scaffolds with practical, regulatory, and ethical issues. In situ regeneration depends on scaffolds that attract, house and instruct cells and promote connective tissue formation. We describe a surgical, tissue-engineered, anatomically precise, novel off-the-shelf, acellular, synthetic scaffold inducing a rapid process of morphogenesis involving relevant cell types, extracellular matrix, regulatory elements including nerves and humoral components. This process relies on specific material characteristics, design and "morphodynamism".
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Affiliation(s)
- Magdi H Yacoub
- Magdi Yacoub Institute, Harefield, UK.
- National Heart and Lung Institute, Imperial College London, London, UK.
- Aswan Heart Science Center, Magdi Yacoub Foundation, Aswan, Egypt.
| | - Yuan-Tsan Tseng
- Magdi Yacoub Institute, Harefield, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Jolanda Kluin
- Department of Cardiothoracic Surgery, Erasmus MC, Rotterdam, The Netherlands
| | - Annemijn Vis
- Amsterdam UMC, University of Amsterdam, Department of Cardiothoracic Surgery, Amsterdam, The Netherlands
| | - Ulrich Stock
- National Heart and Lung Institute, Imperial College London, London, UK
- Royal Brompton and Harefield Hospital, London, UK
| | | | - Padmini Sarathchandra
- Magdi Yacoub Institute, Harefield, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Elena Aikawa
- Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Hussam El-Nashar
- Aswan Heart Science Center, Magdi Yacoub Foundation, Aswan, Egypt
- Department of Bioengineering, Imperial College London, London, UK
| | - Adrian H Chester
- Magdi Yacoub Institute, Harefield, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Nairouz Shehata
- Aswan Heart Science Center, Magdi Yacoub Foundation, Aswan, Egypt
- Department of Computing, Imperial College London, London, UK
| | - Mohamed Nagy
- Aswan Heart Science Center, Magdi Yacoub Foundation, Aswan, Egypt
| | - Amr El-Sawy
- Aswan Heart Science Center, Magdi Yacoub Foundation, Aswan, Egypt
| | - Wei Li
- Royal Brompton and Harefield Hospital, London, UK
| | - Gaetano Burriesci
- Cardiovascular Engineering Laboratory, UCL Mechanical Engineering, University College London, London, UK
- Bioengineering Unit, Ri.MED Foundation, Palermo, Italy
| | - Jacob Salmonsmith
- Cardiovascular Engineering Laboratory, UCL Mechanical Engineering, University College London, London, UK
| | - Soha Romeih
- Aswan Heart Science Center, Magdi Yacoub Foundation, Aswan, Egypt
| | - Najma Latif
- Magdi Yacoub Institute, Harefield, UK
- National Heart and Lung Institute, Imperial College London, London, UK
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217
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Snyder Y, Jana S. Strategies for Development of Synthetic Heart Valve Tissue Engineering Scaffolds. PROGRESS IN MATERIALS SCIENCE 2023; 139:101173. [PMID: 37981978 PMCID: PMC10655624 DOI: 10.1016/j.pmatsci.2023.101173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
The current clinical solutions, including mechanical and bioprosthetic valves for valvular heart diseases, are plagued by coagulation, calcification, nondurability, and the inability to grow with patients. The tissue engineering approach attempts to resolve these shortcomings by producing heart valve scaffolds that may deliver patients a life-long solution. Heart valve scaffolds serve as a three-dimensional support structure made of biocompatible materials that provide adequate porosity for cell infiltration, and nutrient and waste transport, sponsor cell adhesion, proliferation, and differentiation, and allow for extracellular matrix production that together contributes to the generation of functional neotissue. The foundation of successful heart valve tissue engineering is replicating native heart valve architecture, mechanics, and cellular attributes through appropriate biomaterials and scaffold designs. This article reviews biomaterials, the fabrication of heart valve scaffolds, and their in-vitro and in-vivo evaluations applied for heart valve tissue engineering.
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Affiliation(s)
- Yuriy Snyder
- Department of Bioengineering, University of Missouri, Columbia, MO 65211, USA
| | - Soumen Jana
- Department of Bioengineering, University of Missouri, Columbia, MO 65211, USA
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218
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Song G. Up-to-Date Clinical Practice of Transcatheter Edge-to-Edge Repair in Asia: Challenges and Opportunities. JACC. ASIA 2023; 3:774-775. [PMID: 38095001 PMCID: PMC10715869 DOI: 10.1016/j.jacasi.2023.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/17/2024]
Affiliation(s)
- Guangyuan Song
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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219
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Yuan C, He L, Du X, Jiang C, Xia S, Zhao X, Li S, Sang C, Long D, Dong J, Ma C. Impact of age on characteristics, performance measures and outcomes of inpatients for heart failure in Beijing, China. ESC Heart Fail 2023; 10:2990-2997. [PMID: 37528635 PMCID: PMC10567638 DOI: 10.1002/ehf2.14487] [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: 12/12/2022] [Revised: 06/21/2023] [Accepted: 07/16/2023] [Indexed: 08/03/2023] Open
Abstract
AIMS This study aims to provide representative information on heart failure (HF) patients in China, especially older adults aged ≥75 years. We aim to clarify the age-related discrepancies in performance measures and the modifying effect of age on the impact of HF patients' characteristics on clinical outcomes. METHODS AND RESULTS All HF patients admitted into five tertiary and four secondary hospitals of the Capital Medical University were divided into two groups according to age: 1419 (53.3%) were <75 years, and 1244 (46.7%) were ≥75 years. Older HF patients were more likely to be women, with higher left ventricular ejection fraction, with co-morbidities including chronic obstructive pulmonary disease/asthma, anaemia, chronic kidney disease, stroke/transient ischemic attack (TIA), atrial fibrillation/atrial flutter, hypertension, and coronary artery disease, while obesity, diabetes mellitus, hypercholesterolaemia and valvular heart disease were more prevalent among younger HF patients. Left ventricular ejection fraction assessment was performed in a similar proportion of patients in the younger and older groups (81.7% vs. 80.5%, P = 0.426), while B-type natriuretic peptide/N terminal pro brain natriuretic peptide was tested in a lower proportion in the younger group (84.8% vs. 89%, P = 0.001). At discharge, HF with reduced ejection fraction patients were less likely to receive beta-blockers, angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers, or combined beta-blockers and angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers therapy in the older group (49.74% vs. 63.2%, P = 0.002; 52.9% vs. 64.7%, P = 0.006; and 28.57% vs. 45.5%, P < 0.001, respectively) but were equally likely to receive mineralocorticoid receptor antagonists in the two age groups (80.8% vs. 84.1%, P = 0.322). Older patients with HF had higher risk of in-hospital and 1 year mortality (2.7% vs. 1.3%, P = 0.011; 21.7% vs. 12.5%; P < 0.001, respectively). Higher body mass index was associated with better outcomes in both age groups. New York Heart Association functional class IV and estimated glomerular filtration rate < 60 mL/min/1.73 m2 were independent predictors of 1 year mortality. The associations between patients' characteristics and risk of mortality were not modified by age. CONCLUSIONS HF patients aged ≥75 years had distinct clinical profiles, received worse in-hospital therapies and experienced higher in-hospital and 1 year mortality.
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Affiliation(s)
- Cong Yuan
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
- The Affiliated Changsha Hospital of Xiangya School of MedicineCentral South UniversityChangshaChina
| | - Liu He
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - Xin Du
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
- Heart Health Research CenterBeijingChina
- The George Institute for Global HealthUniversity of New South WalesSydneyAustralia
| | - Chao Jiang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - Shi‐Jun Xia
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - Xin Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - Song‐Nan Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - Cai‐Hua Sang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - De‐Yong Long
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - Jian‐Zeng Dong
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
| | - Chang‐Sheng Ma
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular DiseasesBeijing Advanced Innovation Center for Big Data‐Based Precision Medicine for Cardiovascular DiseasesBeijingChina
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Liang X, Yang L, Lei Y, Zhang S, Chen L, Hu C, Wang Y. Biomimetic-modified bioprosthetic heart valves with Cysteine-Alanine-Glycine peptide for anti-thrombotic, endothelialization and anti-calcification. Int J Biol Macromol 2023; 250:126244. [PMID: 37562473 DOI: 10.1016/j.ijbiomac.2023.126244] [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: 06/15/2023] [Revised: 08/01/2023] [Accepted: 08/07/2023] [Indexed: 08/12/2023]
Abstract
In recent years, bioprosthetic heart valves (BHVs) prepared by cross-linking porcine or bovine pericardium with glutaraldehyde (Glut) have received widespread attention due to their excellent hemocompatibility and hydrodynamic properties. However, the failure of BHVs induced by thrombosis and difficulty in endothelialization still exists in clinical practice. Improving the biocompatibility and endothelialization potential of BHVs is conducive to promoting their anti-thrombosis properties and prolonging their service life. Herein, Cysteine-Alanine-Glycine (CAG) peptide was introduced into the biomimetic BHV materials modified by 2-methacryloyloxyethyl phosphorylcholine (MPC) to improve their anti-thrombosis and promoting-endothelialization performances. MPC can improve the anti-adsorption performance of BHV materials, as well as, CAG contributes to the adhesion and proliferation of endothelial cells on the surface of BHV materials. The results of experiments showed that the biomimetic modification strategy with MPC and CAG reduce the thrombosis of BHV materials and improve their endothelialization in vitro. More importantly, the calcification of BHV significantly reduced by inhibiting the expression of M1 macrophage-related factors (IL-6, iNOS) and promoting the expression of M2 macrophage-related factors (IL-10, CD206). We believe that the valve-modified strategy is expected to provide effective solutions to clinical valve problems.
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Affiliation(s)
- Xuyue Liang
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, No. 29 Wangjiang Road, Chengdu 610064, PR China
| | - Li Yang
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, No. 29 Wangjiang Road, Chengdu 610064, PR China
| | - Yang Lei
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, No. 29 Wangjiang Road, Chengdu 610064, PR China
| | - Shumang Zhang
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, No. 29 Wangjiang Road, Chengdu 610064, PR China
| | - Liang Chen
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Cheng Hu
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, No. 29 Wangjiang Road, Chengdu 610064, PR China.
| | - Yunbing Wang
- National Engineering Research Center for Biomaterials, College of Biomedical Engineering, Sichuan University, No. 29 Wangjiang Road, Chengdu 610064, PR China.
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Dittfeld C, Winkelkotte M, Scheer A, Voigt E, Schmieder F, Behrens S, Jannasch A, Matschke K, Sonntag F, Tugtekin SM. Challenges of aortic valve tissue culture - maintenance of viability and extracellular matrix in the pulsatile dynamic microphysiological system. J Biol Eng 2023; 17:60. [PMID: 37770970 PMCID: PMC10538250 DOI: 10.1186/s13036-023-00377-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023] Open
Abstract
BACKGROUND Calcific aortic valve disease (CAVD) causes an increasing health burden in the 21st century due to aging population. The complex pathophysiology remains to be understood to develop novel prevention and treatment strategies. Microphysiological systems (MPSs), also known as organ-on-chip or lab-on-a-chip systems, proved promising in bridging in vitro and in vivo approaches by applying integer AV tissue and modelling biomechanical microenvironment. This study introduces a novel MPS comprising different micropumps in conjunction with a tissue-incubation-chamber (TIC) for long-term porcine and human AV incubation (pAV, hAV). RESULTS Tissue cultures in two different MPS setups were compared and validated by a bimodal viability analysis and extracellular matrix transformation assessment. The MPS-TIC conjunction proved applicable for incubation periods of 14-26 days. An increased metabolic rate was detected for pulsatile dynamic MPS culture compared to static condition indicated by increased LDH intensity. ECM changes such as an increase of collagen fibre content in line with tissue contraction and mass reduction, also observed in early CAVD, were detected in MPS-TIC culture, as well as an increase of collagen fibre content. Glycosaminoglycans remained stable, no significant alterations of α-SMA or CD31 epitopes and no accumulation of calciumhydroxyapatite were observed after 14 days of incubation. CONCLUSIONS The presented ex vivo MPS allows long-term AV tissue incubation and will be adopted for future investigation of CAVD pathophysiology, also implementing human tissues. The bimodal viability assessment and ECM analyses approve reliability of ex vivo CAVD investigation and comparability of parallel tissue segments with different treatment strategies regarding the AV (patho)physiology.
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Affiliation(s)
- Claudia Dittfeld
- Department of Cardiac Surgery, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Heart Centre Dresden, Fetscherstr. 76, 01307, Dresden, Germany.
| | - Maximilian Winkelkotte
- Department of Cardiac Surgery, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Heart Centre Dresden, Fetscherstr. 76, 01307, Dresden, Germany
| | - Anna Scheer
- Department of Cardiac Surgery, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Heart Centre Dresden, Fetscherstr. 76, 01307, Dresden, Germany
| | - Emmely Voigt
- Department of Cardiac Surgery, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Heart Centre Dresden, Fetscherstr. 76, 01307, Dresden, Germany
| | - Florian Schmieder
- Fraunhofer Institute for Material and Beam Technology IWS, Dresden, Germany
| | - Stephan Behrens
- Fraunhofer Institute for Material and Beam Technology IWS, Dresden, Germany
| | - Anett Jannasch
- Department of Cardiac Surgery, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Heart Centre Dresden, Fetscherstr. 76, 01307, Dresden, Germany
| | - Klaus Matschke
- Department of Cardiac Surgery, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Heart Centre Dresden, Fetscherstr. 76, 01307, Dresden, Germany
| | - Frank Sonntag
- Fraunhofer Institute for Material and Beam Technology IWS, Dresden, Germany
| | - Sems-Malte Tugtekin
- Department of Cardiac Surgery, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Heart Centre Dresden, Fetscherstr. 76, 01307, Dresden, Germany
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Jakulla RS, Gunta SP, Huded CP. Heart Failure after Aortic Valve Replacement: Incidence, Risk Factors, and Implications. J Clin Med 2023; 12:6048. [PMID: 37762989 PMCID: PMC10531882 DOI: 10.3390/jcm12186048] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Severe aortic stenosis (AS) carries a poor prognosis with the onset of heart failure (HF) symptoms, and surgical or transcatheter aortic valve replacement (AVR) is its only definitive treatment. The management of AS has seen a paradigm shift with the adoption of transcatheter aortic valve replacement (TAVR), allowing for the treatment of AS in patients who would not otherwise be candidates for surgical AVR. Despite improving long-term survival after TAVR in recent years, residual HF symptoms and HF hospitalization are common and are associated with an increased mortality and a poor health status. This review article summarizes the incidence and risk factors for HF after AVR. Strategies for preventing and better managing HF after AVR are necessary to improve outcomes in this patient population. Extensive research is underway to assess whether earlier timing for AVR, prior to the development of severe symptomatic AS and associated extra-valvular cardiac damage, can improve post-AVR patient outcomes.
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Affiliation(s)
- Roopesh Sai Jakulla
- Department of Internal Medicine, University of Missouri-Kansas City, Kansas City, MO 64110, USA
| | - Satya Preetham Gunta
- Department of Cardiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Chetan P. Huded
- Department of Cardiology, University of Missouri-Kansas City, Kansas City, MO 64110, USA
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Danilov VV, Klyshnikov KY, Onishenko PS, Proutski A, Gankin Y, Melgani F, Ovcharenko EA. Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization. Front Bioeng Biotechnol 2023; 11:1238130. [PMID: 37781537 PMCID: PMC10541217 DOI: 10.3389/fbioe.2023.1238130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 08/22/2023] [Indexed: 10/03/2023] Open
Abstract
Majority of modern techniques for creating and optimizing the geometry of medical devices are based on a combination of computer-aided designs and the utility of the finite element method This approach, however, is limited by the number of geometries that can be investigated and by the time required for design optimization. To address this issue, we propose a generative design approach that combines machine learning (ML) methods and optimization algorithms. We evaluate eight different machine learning methods, including decision tree-based and boosting algorithms, neural networks, and ensembles. For optimal design, we investigate six state-of-the-art optimization algorithms, including Random Search, Tree-structured Parzen Estimator, CMA-ES-based algorithm, Nondominated Sorting Genetic Algorithm, Multiobjective Tree-structured Parzen Estimator, and Quasi-Monte Carlo Algorithm. In our study, we apply the proposed approach to study the generative design of a prosthetic heart valve (PHV). The design constraints of the prosthetic heart valve, including spatial requirements, materials, and manufacturing methods, are used as inputs, and the proposed approach produces a final design and a corresponding score to determine if the design is effective. Extensive testing leads to the conclusion that utilizing a combination of ensemble methods in conjunction with a Tree-structured Parzen Estimator or a Nondominated Sorting Genetic Algorithm is the most effective method in generating new designs with a relatively low error rate. Specifically, the Mean Absolute Percentage Error was found to be 11.8% and 10.2% for lumen and peak stress prediction respectively. Furthermore, it was observed that both optimization techniques result in design scores of approximately 95%. From both a scientific and applied perspective, this approach aims to select the most efficient geometry with given input parameters, which can then be prototyped and used for subsequent in vitro experiments. By proposing this approach, we believe it will replace or complement CAD-FEM-based modeling, thereby accelerating the design process and finding better designs within given constraints. The repository, which contains the essential components of the study, including curated source code, dataset, and trained models, is publicly available at https://github.com/ViacheslavDanilov/generative_design.
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Affiliation(s)
| | - Kirill Y. Klyshnikov
- Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
| | - Pavel S. Onishenko
- Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
| | | | | | | | - Evgeny A. Ovcharenko
- Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia
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Boehm CA, Donay C, Lubig A, Ruetten S, Sesa M, Fernández-Colino A, Reese S, Jockenhoevel S. Bio-Inspired Fiber Reinforcement for Aortic Valves: Scaffold Production Process and Characterization. Bioengineering (Basel) 2023; 10:1064. [PMID: 37760166 PMCID: PMC10525898 DOI: 10.3390/bioengineering10091064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
The application of tissue-engineered heart valves in the high-pressure circulatory system is still challenging. One possible solution is the development of biohybrid scaffolds with textile reinforcement to achieve improved mechanical properties. In this article, we present a manufacturing process of bio-inspired fiber reinforcement for an aortic valve scaffold. The reinforcement structure consists of polyvinylidene difluoride monofilament fibers that are biomimetically arranged by a novel winding process. The fibers were embedded and fixated into electrospun polycarbonate urethane on a cylindrical collector. The scaffold was characterized by biaxial tensile strength, bending stiffness, burst pressure and hemodynamically in a mock circulation system. The produced fiber-reinforced scaffold showed adequate acute mechanical and hemodynamic properties. The transvalvular pressure gradient was 3.02 ± 0.26 mmHg with an effective orifice area of 2.12 ± 0.22 cm2. The valves sustained aortic conditions, fulfilling the ISO-5840 standards. The fiber-reinforced scaffold failed in a circumferential direction at a stress of 461.64 ± 58.87 N/m and a strain of 49.43 ± 7.53%. These values were above the levels of tested native heart valve tissue. Overall, we demonstrated a novel manufacturing approach to develop a fiber-reinforced biomimetic scaffold for aortic heart valve tissue engineering. The characterization showed that this approach is promising for an in situ valve replacement.
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Affiliation(s)
- Christian A. Boehm
- Department of Biohybrid & Medical Textiles (BioTex), AME Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Forckenbeckstr. 55, 52074 Aachen, Germany; (C.A.B.); (C.D.); (A.L.); (A.F.-C.)
| | - Christine Donay
- Department of Biohybrid & Medical Textiles (BioTex), AME Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Forckenbeckstr. 55, 52074 Aachen, Germany; (C.A.B.); (C.D.); (A.L.); (A.F.-C.)
| | - Andreas Lubig
- Department of Biohybrid & Medical Textiles (BioTex), AME Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Forckenbeckstr. 55, 52074 Aachen, Germany; (C.A.B.); (C.D.); (A.L.); (A.F.-C.)
| | - Stephan Ruetten
- Electron Microscopy Facility, University Hospital Aachen, Pauwelstr. 30, 52074 Aachen, Germany;
| | - Mahmoud Sesa
- Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany; (M.S.); (S.R.)
| | - Alicia Fernández-Colino
- Department of Biohybrid & Medical Textiles (BioTex), AME Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Forckenbeckstr. 55, 52074 Aachen, Germany; (C.A.B.); (C.D.); (A.L.); (A.F.-C.)
| | - Stefanie Reese
- Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany; (M.S.); (S.R.)
| | - Stefan Jockenhoevel
- Department of Biohybrid & Medical Textiles (BioTex), AME Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University, Forckenbeckstr. 55, 52074 Aachen, Germany; (C.A.B.); (C.D.); (A.L.); (A.F.-C.)
- Aachen-Maastricht Institute for Biobased Materials, Maastricht University at Chemelot Campus, Urmonderbaan 22, 6167 Geleen, The Netherlands
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225
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Huang R, Xu X, Xu C, Zhang S, Xiong Z, Liu M, Huang Y, Wen H, Guo Y, Liao X, Zhuang X. Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study. Cardiovasc Diabetol 2023; 22:238. [PMID: 37660027 PMCID: PMC10475183 DOI: 10.1186/s12933-023-01975-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 08/25/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear. METHODS This study enrolled 317 patients with moderate to severe AS at the First Affiliated Hospital of Sun Yat-Sen University. The patients were grouped according to the cut-off value of the TyG index. Cox regression with Firth's penalized maximum likelihood method and restricted cubic splines regression were conducted to assess the association between the TyG index and all-cause mortality. The added value of the TyG index included in the traditional risk factors model for outcome prediction was also analyzed. RESULTS Among 317 patients (mean age 67.70 years, 62.8% male), there was 84 all-cause mortality during a median 38.07 months follow-up. After fully adjusting for confounders, a per-unit increase in the TyG index was associated with a 62% higher all-cause mortality risk (HR 1.622, 95% CI 1.086-2.416, p = 0.018). The restricted cubic splines regression model revealed a linear association between the TyG index and the risk of all-cause mortality (p for nonlinearity = 0.632). The addition of the TyG index in the basic risk model has an incremental effect on the prediction of mortality [C-statistic change from 0.755 to 0.768; continuous net reclassification improvement (95% CI): 0.299 (0.051-0.546), p = 0.017; integrated discrimination improvement: 0.017 (0.001-0.033), p = 0.044]. CONCLUSIONS Higher IR assessed by the TyG index was associated with a higher risk of all-cause mortality in patients with moderate and severe AS.
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Affiliation(s)
- Rihua Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Xinghao Xu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Chaoguang Xu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Shaozhao Zhang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Zhenyu Xiong
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Menghui Liu
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Yiquan Huang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Han Wen
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Yue Guo
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China
| | - Xinxue Liao
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China.
| | - Xiaodong Zhuang
- Department of Cardiology, the First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation (Sun Yat-Sen University), Guangzhou, China.
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Chen L, Yu L, Liu Y, Xu H, Li W, Wang F, Zhu J, Yi K, Ma L, Xiao H, Zhou F, Chen M, Cheng Y, Wang F, Zhu C, Xiao X, Yang Y. Valve-Adjustable Optofluidic Bio-Imaging Platform for Progressive Stenosis Investigation. ACS Sens 2023; 8:3104-3115. [PMID: 37477650 DOI: 10.1021/acssensors.3c00754] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
The clinical evidence has proven that valvular stenosis is closely related to many vascular diseases, which attracts great academic attention to the corresponding pathological mechanisms. The investigation is expected to benefit from the further development of an in vitro model that is tunable for bio-mimicking progressive valvular stenosis and enables accurate optical recognition in complex blood flow. Here, we develop a valve-adjustable optofluidic bio-imaging recognition platform to fulfill it. Specifically, the bionic valve was designed with in situ soft membrane, and the internal air-pressure chamber could be regulated from the inside out to bio-mimic progressive valvular stenosis. The developed imaging algorithm enhances the recognition of optical details in blood flow imaging and allows for quantitative analysis. In a prospective clinical study, we examined the effect of progressive valvular stenosis on hemodynamics within the typical physiological range of veins by this way, where the inhomogeneity and local enhancement effect in the altered blood flow field were precisely described and the optical differences were quantified. The effectiveness and consistency of the results were further validated through statistical analysis. In addition, we tested it on fluorescence and noticed its good performance in fluorescent tracing of the clotting process. In virtue of theses merits, this system should be able to contribute to mechanism investigation, pharmaceutical development, and therapeutics of valvular stenosis-related diseases.
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Affiliation(s)
- Longfei Chen
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
| | - Le Yu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
| | - Yantong Liu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
| | - Hongshan Xu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
| | - Wei Li
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
| | - Fang Wang
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
| | - Jiaomeng Zhu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
| | - Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Linlu Ma
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Hui Xiao
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Fuling Zhou
- Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Ming Chen
- Department of Blood Transfusion, Zhongnan Hospital, Wuhan University, Wuhan 430071, China
| | - Yanxiang Cheng
- School of Medicine, Renmin Hospital, Wuhan University, Wuhan 430060, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan 430071, China
| | - Chengliang Zhu
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430072, China
| | - Xuan Xiao
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Wuhan University, Wuhan 430072, China
| | - Yi Yang
- Department of Clinical Laboratory, Institute of Medicine and Physics, Renmin Hospital of Wuhan University, Key Laboratory of Artificial Micro- and Nano- Structures of Ministry of Education, School of Physics & technology, Wuhan University, Wuhan 430072, China
- Shenzhen Research Institute, Wuhan University, Shenzhen 518000, China
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Kwak S, Lee SA, Lim J, Yang S, Hwang D, Lee HJ, Choi HM, Hwang IC, Lee S, Yoon YE, Park JB, Kim HK, Kim YJ, Song JM, Cho GY, Kang DH, Kim DH, Lee SP. Data-driven mortality risk prediction of severe degenerative mitral regurgitation patients undergoing mitral valve surgery. Eur Heart J Cardiovasc Imaging 2023; 24:1156-1165. [PMID: 37115641 DOI: 10.1093/ehjci/jead077] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/06/2023] [Accepted: 03/27/2023] [Indexed: 04/29/2023] Open
Abstract
AIMS The outcomes of mitral valve replacement/repair (MVR) in severe degenerative mitral regurgitation (MR) patients depend on various risk factors. We aimed to develop a risk prediction model for post-MVR mortality in severe degenerative MR patients using machine learning. METHODS AND RESULTS Consecutive severe degenerative MR patients undergoing MVR were analysed (n = 1521; 70% training/30% test sets). A random survival forest (RSF) model was constructed, with 3-year post-MVR all-cause mortality as the outcome. Partial dependency plots were used to define the thresholds of each risk factor. A simple scoring system (MVR-score) was developed to stratify post-MVR mortality risk. At 3 years following MVR, 90 patients (5.9%) died in the entire cohort (59 and 31 deaths in the training and test sets). The most important predictors of mortality in order of importance were age, haemoglobin, valve replacement, glomerular filtration rate, left atrial dimension, and left ventricular (LV) end-systolic diameter. The final RSF model with these six variables demonstrated high predictive performance in the test set (3-year C-index 0.880, 95% confidence interval 0.834-0.925), with mortality risk increased strongly with left atrial dimension >55 mm, and LV end-systolic diameter >45 mm. MVR-score demonstrated effective risk stratification and had significantly higher predictability compared to the modified Mitral Regurgitation International Database score (3-year C-index 0.803 vs. 0.750, P = 0.034). CONCLUSION A data-driven machine learning model provided accurate post-MVR mortality prediction in severe degenerative MR patients. The outcome following MVR in severe degenerative MR patients is governed by both clinical and echocardiographic factors.
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Affiliation(s)
- Soongu Kwak
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Seung-Ah Lee
- Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea
| | - Jaehyun Lim
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Seokhun Yang
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Doyeon Hwang
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Hyun-Jung Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Hong-Mi Choi
- Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumiro 173beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - In-Chang Hwang
- Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumiro 173beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Sahmin Lee
- Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea
| | - Yeonyee E Yoon
- Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumiro 173beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Jun-Bean Park
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Hyung-Kwan Kim
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Yong-Jin Kim
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Jong-Min Song
- Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea
| | - Goo-Yeong Cho
- Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82, Gumiro 173beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do 13620, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
| | - Duk-Hyun Kang
- Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea
| | - Dae-Hee Kim
- Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea
| | - Seung-Pyo Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul 03080, South Korea
- Center for Precision Medicine, Seoul National University Hospital, 71, Daehak-ro, Jongno-gu, Seoul 03082, South Korea
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Liu K, Ye Q, Zhao Y, Zhao C, Song L, Wang J. Sex Differences in the Outcomes of Degenerative Mitral Valve Repair. Ann Thorac Cardiovasc Surg 2023; 29:192-199. [PMID: 36908120 PMCID: PMC10466113 DOI: 10.5761/atcs.oa.22-00210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 01/19/2023] [Indexed: 03/11/2023] Open
Abstract
PURPOSE This study explored the sex differences in the outcomes of degenerative mitral valve repair (MVr). METHODS From 2010 to 2019, 1069 patients who underwent MVr due to degenerative mitral disease at Beijing Anzhen Hospital were analyzed. The average patient follow-up was 5.1 years (interquartile range: 5-7 years). The primary endpoint was overall survival. Secondary endpoints were freedom from reoperation and recurrent mitral regurgitation. A propensity-matched analysis was used to compare the outcomes of males and females. RESULTS Females were older, had a higher prevalence of atrial fibrillation and moderate-to-severe tricuspid regurgitation, and had smaller left atrial, left ventricular end-diastolic, and left ventricular end-systolic diameters. Males were more likely to undergo concomitant coronary artery bypass grafting and had longer cardiopulmonary bypass and aortic cross-clamp times. The in-hospital mortality was <1% (10/1,069). After propensity score matching of 331 pairs of patients, most variables were well balanced. Before and after propensity score matching, the long-term survival and freedom from reoperation rates were similar. Males had higher durability after surgery compared with females. CONCLUSIONS Females were referred to surgery later and had more complications than males. Long-term survival and freedom from reoperation rates were not significantly different between the sexes.
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Affiliation(s)
- Kemin Liu
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Qing Ye
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yichen Zhao
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Cheng Zhao
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Li Song
- Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jiangang Wang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
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Shu S, Yang Y, Sun B, Su Z, Fu M, Xiong C, Zhang X, Hu S, Song J. Alerting trends in epidemiology for calcific aortic valve disease, 1990-2019: An age-period-cohort analysis for the Global Burden of Disease Study 2019. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2023; 9:459-473. [PMID: 36893802 PMCID: PMC10405136 DOI: 10.1093/ehjqcco/qcad018] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/20/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023]
Abstract
AIMS To assess the trends in calcific aortic valve disease (CAVD) epidemiology, with an emphasis on CAVD mortality, leading risk factors, and their associations with age, period, and birth cohort. METHODS AND RESULTS Prevalence, disability-adjusted life years, and mortality were derived from the Global Burden of Disease Study 2019. The age-period-cohort model was employed to study the detailed trends of CAVD mortality and its leading risk factors. Globally, CAVD showed unsatisfactory results from 1990 to 2019, with the CAVD deaths of 127 000 in 2019. CAVD mortality was substantially reduced in high socio-demographic index (SDI) countries [-1.45%, 95% confidence interval (CI) (-1.61 to -1.30)], mildly increased in high-middle SDI countries [0.22%, 95% CI (0.06-0.37)], and unchanged in other SDI quintiles. There was a noticeable transition in CAVD deaths from younger to older populations globally. The CAVD mortality increased exponentially with age, and the male had higher mortality than the female before 80 years old. Favourable period [0.69, 95% CI (0.66-0.72)] and birth effects [0.30, 95% CI (0.22-0.43)] were mainly observed in high SDI countries, while unfavourable effects were mostly noticed in high-middle SDI countries. High systolic blood pressure was the leading risk factor of CAVD deaths globally, and it showed favourable trends in high SDI regions. CONCLUSION Although CAVD mortality reduction was observed globally, unfavourable period, and cohort effects were found in many countries. Increase of mortality rate among the population ≥85 years was the common challenge across all SDI quintiles, stressing the necessity to further improve health care for CAVD patients worldwide.
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Affiliation(s)
| | | | | | - Zhanhao Su
- Department of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Mengxia Fu
- 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
- The Cardiomyopathy Research Group, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Ekambaram K, Hassan K. Establishing a Novel Diagnostic Framework Using Handheld Point-of-Care Focused-Echocardiography (HoPE) for Acute Left-Sided Cardiac Valve Emergencies: A Bayesian Approach for Emergency Physicians in Resource-Limited Settings. Diagnostics (Basel) 2023; 13:2581. [PMID: 37568944 PMCID: PMC10416975 DOI: 10.3390/diagnostics13152581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/23/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
Acute severe cardiac valve emergencies, such as acute severe mitral regurgitation (AMR) and acute severe aortic regurgitation (AAR), present significant challenges in terms of diagnosis and management. Handheld point-of-care ultrasound devices have emerged as potentially pivotal tools in ensuring the prompt and accurate diagnosis of these left-sided valve emergencies by emergency physicians, particularly in resource-limited settings. Despite the increased utilisation of point-of-care ultrasound by emergency physicians for the management of patients in states of acute cardiorespiratory failure, current diagnostic protocols cannot perform sufficient quantitative assessments of the left-sided cardiac valves. This review elucidates and evaluates the diagnostic utility of handheld point-of-care focused-echocardiography (HoPE) in native AMR and AAR by reviewing the relevant literature and the use of clinical case examples from the Emergency Department at Port Shepstone Regional Hospital (PSRH-ED)-a rural, resource-limited hospital located in KwaZulu-Natal, South Africa. Combining the findings of the review and clinical case illustrations, this review proceeds to synthesise a novel, Bayesian-inspired, iterative diagnostic framework that integrates HoPE into the evaluation of patients with acute cardiorespiratory failure and suspected severe left-sided valve lesions.
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Affiliation(s)
- Kamlin Ekambaram
- Port Shepstone Regional Hospital, University of KwaZulu-Natal, Durban 4041, South Africa
| | - Karim Hassan
- Life Bay View Private Hospital, Mossel Bay 6506, South Africa;
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231
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Rogers MA, Tarantini G, Veulemans V. Editorial: Case reports in heart valve disease: 2022. Front Cardiovasc Med 2023; 10:1260522. [PMID: 37600043 PMCID: PMC10434232 DOI: 10.3389/fcvm.2023.1260522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 07/24/2023] [Indexed: 08/22/2023] Open
Affiliation(s)
| | - Giuseppe Tarantini
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Verena Veulemans
- Department of Cardiology, Pulmonology, and Vascular Diseases, University Hospital Düsseldorf, Düsseldorf, Germany
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McGilvray MM, Yates TAE, Pauls L, Kelly MO, Razo N, McElligott S, Foster GJ, Zheng J, Zoller JK, Zemlin C, Damiano RJ. An experimental model of chronic severe mitral regurgitation. JTCVS Tech 2023; 20:58-70. [PMID: 37555041 PMCID: PMC10405169 DOI: 10.1016/j.xjtc.2023.03.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 03/10/2023] [Accepted: 03/22/2023] [Indexed: 08/10/2023] Open
Abstract
Objective To develop a minimally invasive, reproducible model of chronic severe mitral regurgitation (MR) that replicates the clinical phenotype of left atrial (LA) and left ventricular dilation and susceptibility to atrial fibrillation. Methods Under transesophageal echocardiographic guidance, chordae tendinae were avulsed using endovascular forceps until the ratio of regurgitant jet area to LA area was ≥70%. Animals survived for an average of 8.6 ± 1.6 months (standard deviation) and imaged with monthly transthoracic echocardiography (TTE). Animals underwent baseline and preterminal magnetic resonance imaging. Terminal studies included TTE, transesophageal echocardiography, and rapid atrial pacing to test inducibility of atrial tachyarrhythmias. Results Eight dogs underwent creation of severe MR and interval monitoring. Two were excluded-one died from acute heart failure, and the other had resolution of MR. Six dogs underwent the full experimental protocol; only one required medical management of clinical heart failure. MR remained severe over time, with a mean terminal regurgitant jet area to LA area of 71 ± 14% (standard deviation) and regurgitant fraction of 52 ± 11%. Mean LA volume increased over 130% (TTE: 163 ± 147%, P = .039; magnetic resonance imaging: 132 ± 54%, P = .011). Mean left ventricular end-diastolic volume increased by 38 ± 21% (P = .008). Inducible atrial tachyarrhythmias were seen in 4 of 6 animals at terminal surgery, and none at baseline. Conclusions Within the 6 dogs that successfully completed the full experimental protocol, this model replicated the clinical phenotype of severe MR, which led to marked structural and electrophysiologic cardiac remodeling. This model allowed for precise measurements at repeated time points and will facilitate future studies to elucidate the mechanisms of atrial and ventricular remodeling secondary to MR and the pathophysiology of valvular atrial fibrillation.
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Affiliation(s)
- Martha M.O. McGilvray
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo
| | - Tari-Ann E. Yates
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo
| | - Lynn Pauls
- Division of Cardiothoracic Anesthesiology, Department of Anesthesiology, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Mo
| | - Meghan O. Kelly
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo
| | - Nicholas Razo
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo
| | - Stacie McElligott
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo
| | - Glenn J. Foster
- Center for Clinical Imaging and Research, Washington University School of Medicine, St Louis, Mo
| | - Jie Zheng
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo
| | - Jonathan K. Zoller
- Division of Cardiothoracic Anesthesiology, Department of Anesthesiology, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Mo
| | - Christian Zemlin
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo
| | - Ralph J. Damiano
- Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo
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Vega AJ, Smith C, Matejowsky HG, Thornhill KJ, Borne GE, Mosieri CN, Shekoohi S, Cornett EM, Kaye AD. Warfarin and Antibiotics: Drug Interactions and Clinical Considerations. Life (Basel) 2023; 13:1661. [PMID: 37629518 PMCID: PMC10455514 DOI: 10.3390/life13081661] [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: 04/20/2023] [Revised: 07/24/2023] [Accepted: 07/28/2023] [Indexed: 08/27/2023] Open
Abstract
Warfarin administration poses a notable challenge in clinical practice due to the increased susceptibility of patients to major bleeding, particularly when co-administered with other medications capable of modulating its metabolic pathways. Among these medications, antibiotics have been recognized as potential agents that can either induce or inhibit cytochrome P450-2C9, thereby impacting the effects of warfarin. A wealth of evidence from numerous studies consistently supports an elevated risk of serious bleeding in patients concurrently receiving antibiotics and warfarin therapy. This narrative review elucidates the intricate interactions between warfarin and various antibiotic classes. Notably, significant increases in the International Normalized Ratio (INR) were observed among warfarin-treated patients receiving penicillin derivatives, fluoroquinolones, TMP-SMX, and macrolides. Conversely, investigations have also demonstrated a reduction in INR levels in patients on warfarin when exposed to rifampin, a potent inducer of cytochrome P-450. Intriguingly, cephalosporin antibiotics and amoxicillin/clavulanate, despite not interfering with the cytochrome P450 system, exhibited a positive association with increased INR values. The findings of this narrative review underscore the importance of diligent monitoring in patients on warfarin requiring concomitant antibiotic therapy, as this surveillance strategy proves pivotal in mitigating the risk of major bleeding complications. Additionally, for patients necessitating cytochrome P450 inhibitors such as penicillin derivatives, fluoroquinolones, TMP-SMX, and macrolides, the consideration of dose reduction in warfarin therapy may confer substantial benefits in reducing the occurrence of major bleeding events. Similarly, patients who are co-administered rifampin alongside warfarin necessitate vigilant monitoring, with a potential need for escalating warfarin doses to counteract the risk of a hypercoagulable state.
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Affiliation(s)
- Alexis J. Vega
- School of Medicine, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (A.J.V.); (C.S.); (H.G.M.); (K.J.T.); (G.E.B.)
| | - Caitlin Smith
- School of Medicine, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (A.J.V.); (C.S.); (H.G.M.); (K.J.T.); (G.E.B.)
| | - Hannah Grace Matejowsky
- School of Medicine, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (A.J.V.); (C.S.); (H.G.M.); (K.J.T.); (G.E.B.)
| | - Katherine J. Thornhill
- School of Medicine, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (A.J.V.); (C.S.); (H.G.M.); (K.J.T.); (G.E.B.)
| | - Grant E. Borne
- School of Medicine, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (A.J.V.); (C.S.); (H.G.M.); (K.J.T.); (G.E.B.)
| | - Chizoba N. Mosieri
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (C.N.M.); (S.S.); (A.D.K.)
| | - Sahar Shekoohi
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (C.N.M.); (S.S.); (A.D.K.)
| | - Elyse M. Cornett
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (C.N.M.); (S.S.); (A.D.K.)
| | - Alan D. Kaye
- Department of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA; (C.N.M.); (S.S.); (A.D.K.)
- Department of Pharmacology, Louisiana State University Health Sciences Center at Shreveport, 1501 Kings Highway, Shreveport, LA 71103, USA
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Langenaeken T, Vanoppen A, Janssens F, Tanghe L, Verbrugghe P, Rega F, Meuris B. DOACs in the Anticoagulation of Mechanical Valves: A Systematic Review and Future Perspectives. J Clin Med 2023; 12:4984. [PMID: 37568386 PMCID: PMC10419922 DOI: 10.3390/jcm12154984] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
Valvular heart disease is a common disease often necessitating valve replacement. Mechanical heart valves (MHVs) are often used in younger patients because of their longer durability. Their main disadvantage is the need for lifelong anticoagulation. Warfarin is considered a standard treatment, but it is far from perfect. Direct oral anticoagulants (DOACs) are a new and more patient-friendly alternative to warfarin when anticoagulation is required, but have not yet been approved for the indication of mechanical valves. EVIDENCE ACQUISITION A literature search of Pubmed, Embase, Web of Science (Core Collection), and Cochrane Library (from inception to May 2023) was performed using a search string that was well defined and not modified during the study. An extensive overview of the search terms used in each database can be found in the Appendix. Only prospective clinical trials were included in this review. A total of 10 publications were included in this review. RELEVANCE TO CLINICAL PRACTICE This systematic review summarizes the different types of DOACs and their possible use in the anticoagulation of mechanical valves. We aim to propose future directions in anticoagulation research for mechanical valves. CONCLUSIONS DOAC use in MHVs has been halted due to the failure of both dabigatran and apixaban in two major clinical trials. However, rivaroxaban was successful in two small clinical trials. Ample research is still needed to explore new valve designs as well as new anticoagulation targets.
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Affiliation(s)
- Tom Langenaeken
- Department of Cardiac Surgery, University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium (B.M.)
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Adere A, Bedru M, Afework M. Etiologies and Patterns of Valvular Heart Disease Among Cardiac Patients at the Cardiac Center of Ethiopia During February 2000 to April 2022. Int J Gen Med 2023; 16:2849-2856. [PMID: 37426520 PMCID: PMC10329463 DOI: 10.2147/ijgm.s420591] [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: 05/25/2023] [Accepted: 06/23/2023] [Indexed: 07/11/2023] Open
Abstract
Background The leading global contributor to cardiovascular morbidity and mortality is valvular heart disease. It is on the rise worldwide, including in the developing countries. However, the prevalence, patterns, and etiologies of valvular heart disease have not been well studied in Ethiopia. Hence, the purpose of this study was to evaluate the prevalence, patterns, and etiologies of valvular heart disease at the Cardiac Center of Ethiopia from February 2000 to April 2022. Methods This institution-based retrospective cross-sectional study was conducted between February 2000 and April 2022. Data from three thousand two hundred fifty-seven VHD were extracted from the electronic medical records and analyzed using SPSS version 25. Descriptive statistics, such as the frequency, mean ± standard deviation, and cross tabulations, were used to summarize the data. Results Of 10,588 total cardiac cases registered and treated at the Cardiac Centre of Ethiopia from February 2000 to April 2022, 30.8% (3257) were diagnosed with VHD. The most typical diagnosis for VHD was multi-valvular involvement, which accounted for 49.5% of cases (1612), followed by pulmonary stenosis (15%) and mitral regurgitation (14.3%). Females were more likely to develop valve diseases than males, being at the highest risk for each identified etiology of valve disease 1928 (59.2%). The majority percentages of the population affected by VHD were between 18 and 44 age category 1473 (45.2%). The most common etiology of VHD was rheumatic 2015 (61.87%), followed by congenital origin 828 (25.42%). Conclusion VHD affects nearly one-third of all cardiac cases admitted to the hospital. Multi-valvular involvement is the most commonly diagnosed form of VHD. Rheumatic causes were more prevalent in this study. As found in this study, VHD affects a significant percentage of the population, which in turn could have an impact on the country's economy and deserve attention as a possible means of intervention.
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Affiliation(s)
- Ashete Adere
- Department of Anatomy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Mohammed Bedru
- Department of Adult Cardiology, Cardiac Center of Ethiopia, Addis Ababa, Ethiopia
| | - Mekbeb Afework
- Department of Anatomy, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
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Abstract
Valvular heart disease (VHD) is a morbid condition in which timely identification and evidence-based treatments can lead to improved outcomes. Artificial intelligence broadly refers to the ability for computers to perform tasks and problem solve like the human mind. Studies applying AI to VHD have used a variety of structured (eg, sociodemographic, clinical) and unstructured (eg, electrocardiogram, phonocardiogram, and echocardiograms) and machine learning modeling approaches. Additional researches in diverse populations, including prospective clinical trials, are needed to evaluate the effectiveness and value of AI-enabled medical technologies in clinical care for patients with VHD.
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Affiliation(s)
- Caroline Canning
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA. https://twitter.com/carolinecanning
| | - James Guo
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA
| | - Akhil Narang
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA. https://twitter.com/AkhilNarangMD
| | - James D Thomas
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA. https://twitter.com/jamesdthomasMD1
| | - Faraz S Ahmad
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, 676 North St. Clair Street, Suite 600, Chicago, IL 60611, USA; Bluhm Cardiovascular Institute Center for Artificial Intelligence, Northwestern Medicine, Chicago, IL, USA; Division of Health and Biomedical informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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237
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Crago M, Winlaw DS, Farajikhah S, Dehghani F, Naficy S. Pediatric pulmonary valve replacements: Clinical challenges and emerging technologies. Bioeng Transl Med 2023; 8:e10501. [PMID: 37476058 PMCID: PMC10354783 DOI: 10.1002/btm2.10501] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 01/17/2023] [Accepted: 01/29/2023] [Indexed: 03/06/2023] Open
Abstract
Congenital heart diseases (CHDs) frequently impact the right ventricular outflow tract, resulting in a significant incidence of pulmonary valve replacement in the pediatric population. While contemporary pediatric pulmonary valve replacements (PPVRs) allow satisfactory patient survival, their biocompatibility and durability remain suboptimal and repeat operations are commonplace, especially for very young patients. This places enormous physical, financial, and psychological burdens on patients and their parents, highlighting an urgent clinical need for better PPVRs. An important reason for the clinical failure of PPVRs is biofouling, which instigates various adverse biological responses such as thrombosis and infection, promoting research into various antifouling chemistries that may find utility in PPVR materials. Another significant contributor is the inevitability of somatic growth in pediatric patients, causing structural discrepancies between the patient and PPVR, stimulating the development of various growth-accommodating heart valve prototypes. This review offers an interdisciplinary perspective on these challenges by exploring clinical experiences, physiological understandings, and bioengineering technologies that may contribute to device development. It thus aims to provide an insight into the design requirements of next-generation PPVRs to advance clinical outcomes and promote patient quality of life.
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Affiliation(s)
- Matthew Crago
- School of Chemical and Biomolecular EngineeringThe University of SydneySydneyAustralia
| | - David S. Winlaw
- Department of Cardiothoracic SurgeryHeart Institute, Cincinnati Children's HospitalCincinnatiOHUSA
| | - Syamak Farajikhah
- School of Chemical and Biomolecular EngineeringThe University of SydneySydneyAustralia
| | - Fariba Dehghani
- School of Chemical and Biomolecular EngineeringThe University of SydneySydneyAustralia
| | - Sina Naficy
- School of Chemical and Biomolecular EngineeringThe University of SydneySydneyAustralia
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238
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Bombace S, Meucci MC, Fortuni F, Ilardi F, Manzo R, Canciello G, Esposito G, Grayburn PA, Losi MA, Sannino A. Beyond Aortic Stenosis: Addressing the Challenges of Multivalvular Disease Assessment. Diagnostics (Basel) 2023; 13:2102. [PMID: 37370999 PMCID: PMC10297357 DOI: 10.3390/diagnostics13122102] [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: 05/17/2023] [Revised: 06/12/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
Aortic stenosis (AS) can often coexist with other valvular diseases or be combined with aortic regurgitation (AR), leading to unique pathophysiological conditions. The combination of affected valves can vary widely, resulting in a lack of standardized diagnostic or therapeutic approaches. Echocardiography is crucial in assessing patients with valvular heart disease (VHD), but careful consideration of the hemodynamic interactions between combined valvular defects is necessary. This is important as it may affect the reliability of commonly used echocardiographic parameters, making the diagnosis challenging. Therefore, a multimodality imaging approach, including computed tomography or cardiac magnetic resonance, is often not just beneficial but crucial. It represents the future of diagnostics in this intricate field due to its unprecedented capacity to quantify and comprehend valvular pathology. The absence of definitive data and guidelines for the therapeutic management of AS in the context of multiple valve lesions makes this condition particularly challenging. As a result, an individualized, case-by-case approach is necessary, guided primarily by the recommendations for the predominant valve lesion. This review aims to summarize the pathophysiology of AS in the context of multiple and mixed valve disease, with a focus on the hemodynamic implications, diagnostic challenges, and therapeutic options.
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Affiliation(s)
| | - Maria Chiara Meucci
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Federico Fortuni
- Department of Cardiology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands
- Department of Cardiology, San Giovanni Battista Hospital, 06034 Foligno, Italy
| | - Federica Ilardi
- Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy
| | - Rachele Manzo
- Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy
| | - Grazia Canciello
- Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy
| | - Giovanni Esposito
- Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy
| | | | - Maria Angela Losi
- Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy
| | - Anna Sannino
- Department of Advanced Biomedical Sciences, Division of Cardiology, Federico II University, 80131 Naples, Italy
- Baylor Scott & White Research Institute, Plano, TX 75093, USA
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239
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Tersalvi G, Gaiero L, Capriolo M, Cristoforetti Y, Salizzoni S, Senatore G, Pedrazzini G, Biasco L. Sex Differences in Epidemiology, Morphology, Mechanisms, and Treatment of Mitral Valve Regurgitation. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1017. [PMID: 37374220 PMCID: PMC10304487 DOI: 10.3390/medicina59061017] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 05/22/2023] [Accepted: 05/23/2023] [Indexed: 06/29/2023]
Abstract
Sex-related disparities have been recognized in incidence, pathological findings, pathophysiological mechanisms, and diagnostic pathways of non-rheumatic mitral regurgitation. Furthermore, access to treatments and outcomes for surgical and interventional therapies among women and men appears to be different. Despite this, current European and US guidelines have identified common diagnostic and therapeutic pathways that do not consider patient sex in decision-making. The aim of this review is to summarize the current evidence on sex-related differences in non-rheumatic mitral regurgitation, particularly regarding incidence, imaging modalities, surgical-derived evidence, and outcomes of transcatheter edge-to-edge repair, with the goal of informing clinicians about sex-specific challenges to consider when making treatment decisions for patients with mitral regurgitation.
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Affiliation(s)
- Gregorio Tersalvi
- Department of Cardiology, Cardiocentro Ticino Institute, 6900 Lugano, Switzerland
- Department of Internal Medicine, Ente Ospedaliero Cantonale, 6850 Mendrisio, Switzerland
| | - Lorenzo Gaiero
- Division of Cardiology, Azienda Sanitaria Locale Torino 4, Ospedale di Ciriè, 10073 Ciriè, Italy
| | - Michele Capriolo
- Division of Cardiology, Azienda Sanitaria Locale Torino 4, Ospedale di Ciriè, 10073 Ciriè, Italy
| | - Yvonne Cristoforetti
- Division of Cardiology, Ospedale Gradenigo, Humanitas Torino, 10153 Turin, Italy
| | - Stefano Salizzoni
- Division of Cardiac Surgery, Città della Salute e della Scienza, Università degli Studi di Torino, 10126 Turin, Italy
| | - Gaetano Senatore
- Division of Cardiology, Azienda Sanitaria Locale Torino 4, Ospedale di Ciriè, 10073 Ciriè, Italy
| | - Giovanni Pedrazzini
- Department of Cardiology, Cardiocentro Ticino Institute, 6900 Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), 6900 Lugano, Switzerland
| | - Luigi Biasco
- Division of Cardiology, Azienda Sanitaria Locale Torino 4, Ospedale di Ciriè, 10073 Ciriè, Italy
- Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), 6900 Lugano, Switzerland
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240
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Zhang S, Liu C, Zhang Y, Wu Z, Feng K, Lai Y, Pei J, Guan T. Different heart failure phenotypes of valvular heart disease: the role of mitochondrial dysfunction. Front Cardiovasc Med 2023; 10:1135938. [PMID: 37273869 PMCID: PMC10235483 DOI: 10.3389/fcvm.2023.1135938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 04/28/2023] [Indexed: 06/06/2023] Open
Abstract
Valvular heart disease (VHD)-related heart failure (HF) is a special subtype of HF with an increasingly concerned heterogeneity in pathophysiology, clinical phenotypes, and outcomes. The mechanism of VHD-related HF involves not only mechanical damage to the valve itself but also valve lesions caused by myocardial ischemia. The interactions between them will lead to the occurrence and development of VHD-related HF subtypes. Due to the spatial (combination of different valvular lesions) and temporal effects (sequence of valvular lesions) of valvular damages, it can make the patient's condition more complicated and also make the physicians deal with a dilemma when deciding on a treatment plan. This indicates that there is still lack of deep understanding on the pathogenic mechanism of VHD-related HF subtypes. On the other hand, mitochondrial dysfunction (MitD) is not only associated with the development of numerous cardiac diseases such as atherosclerosis, hypertension, diabetes, and HF but also occurs in VHD. However, the role of MitD in VHD-related HF is still not fully recognized. In this comprehensive review, we aim to discuss the current findings and challenges of different valvular damages derived from HF subtypes as well as the role of MitD in VHD-related HF subtypes.
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Affiliation(s)
- Shenghui Zhang
- Department of Cardiology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China
- Department of Cardiology, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
| | - Cheng Liu
- Department of Cardiology, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yingyuan Zhang
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zongjian Wu
- City School, Guangzhou Academy of Fine Arts, Guangzhou, China
| | - Kaiwei Feng
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yanxian Lai
- Department of Cardiology, Guangzhou First People’s Hospital, South China University of Technology, Guangzhou, China
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jingxian Pei
- Department of Cardiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Tianwang Guan
- Department of Cardiology, Guangzhou First People’s Hospital, Guangzhou Medical University, Guangzhou, China
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241
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, et alBao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Show More Authors] [Citation(s) in RCA: 167] [Impact Index Per Article: 83.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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Abstract
PURPOSE OF REVIEW Embolic stroke of undetermined source is a challenging clinical entity. While less common than atrial fibrillation and endocarditis, many noninfective heart valve lesions have been associated with stroke and may be considered as culprits for cerebral infarcts when other more common causes are excluded. This review discusses the epidemiology, pathophysiology, and management of noninfective valvular diseases that are commonly associated with stroke. RECENT FINDINGS Calcific debris from degenerating aortic and mitral valves may embolize to the cerebral vasculature causing small- or large-vessel ischemia. Thrombus which may be adherent to calcified valvular structures or left-sided cardiac tumors may also embolize resulting in stroke. Tumors themselves, most commonly myxomas and papillary fibroelastomas, may fragment and travel to the cerebral vasculature. Despite this broad differential, many types of valve diseases are highly comorbid with atrial fibrillation and vascular atheromatous disease. Thus, a high index of suspicion for more common causes of stroke is needed, especially given that treatment for valvular lesions typically involves cardiac surgery whereas secondary prevention of stroke due to occult atrial fibrillation is readily accomplished with anticoagulation.
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Affiliation(s)
- Jacob J Mayfield
- Division of Cardiology, University of Washington School of Medicine, Seattle, WA, USA.
| | - Catherine M Otto
- Division of Cardiology, University of Washington School of Medicine, Seattle, WA, USA
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Uzel R, Bruno RR, Jung C, Lang C, Hoi H, Grünbart M, Datz C, Hoppichler F, Wernly B. Clinical Impact of ACE-I/ARB for Conservatively Treated Patients with Moderate to Severe Mitral Regurgitation: A Single Center Observational Study. J Cardiovasc Dev Dis 2023; 10:177. [PMID: 37103056 PMCID: PMC10142284 DOI: 10.3390/jcdd10040177] [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: 02/06/2023] [Revised: 04/15/2023] [Accepted: 04/17/2023] [Indexed: 04/28/2023] Open
Abstract
(1) Background: Mitral regurgitation (MR) is associated with increased mortality and frequent hospital admissions. Although mitral valve intervention offers improved clinical outcomes for MR, it is not feasible in many cases. Moreover, conservative therapeutic opportunities remain limited. The aim of this study was to evaluate the impact of ACE inhibitors and angiotensin receptor blockers (ACE-I/ARB) on elderly patients with moderate-to-severe MR and mildly reduced to preserved ejection fraction. (2) Methods: In total, 176 patients were included in our hypothesis-generating, single-center observational study. Hospitalization for heart failure and all-cause death have been defined as the combined 1-year primary endpoint. (3) Results: Patients treated with ACE-I/ARB showed a lower risk for the combined endpoint of death and heart failure-related readmission (HR 0.52 95%CI 0.27-0.99; p = 0.046), even after adjustment for EUROScoreII and frailty (HR 0.52 95%CI 0.27-0.99; p = 0.049) (4) Conclusions: The use of an ACE-I/ARB in patients with moderate-to-severe MR and preserved to mildly reduced left-ventricular ejection fraction (LVEF) significantly associates with improved clinical outcome and might be indicated as a valuable therapeutic option in conservatively treated patients.
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Affiliation(s)
- Robert Uzel
- Department of Internal Medicine, Saint John of God Hospital, Teaching Hospital of the Paracelsus Medical Private University, Kajetanerplatz 1, 5020 Salzburg, Austria
- Department of Cardiology, Klinik Floridsdorf, Brünner Straße 68, 1210 Vienna, Austria
| | - Raphael R. Bruno
- Department of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225 Duesseldorf, Germany
| | - Christian Jung
- Department of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, Heinrich-Heine-University Duesseldorf, Moorenstraße 5, 40225 Duesseldorf, Germany
| | - Christian Lang
- Department of Pulmonology, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria
| | - Hannes Hoi
- Department of Surgery, Saint John of God Hospital, Teaching Hospital of the Paracelsus Medical Private University, Kajetanerplatz 1, 5020 Salzburg, Austria
| | - Martin Grünbart
- Department of Surgery, Saint John of God Hospital, Teaching Hospital of the Paracelsus Medical Private University, Kajetanerplatz 1, 5020 Salzburg, Austria
| | - Christian Datz
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical Private University, Paracelsusstraße 37, 5110 Oberndorf, Austria
| | - Friedrich Hoppichler
- Department of Internal Medicine, Saint John of God Hospital, Teaching Hospital of the Paracelsus Medical Private University, Kajetanerplatz 1, 5020 Salzburg, Austria
- Special Institute for Preventive Cardiology and Nutrition, SIPCAN—Initiative für ein gesundes Leben, 5020 Salzburg, Austria
| | - Bernhard Wernly
- Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical Private University, Paracelsusstraße 37, 5110 Oberndorf, Austria
- Institute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University, Strubergasse 21, 5020 Salzburg, Austria
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Li D, Chang P, Zhang H, Bai F, Wu Q. The efficacy and safety of direct oral anticoagulants versus vitamin K antagonists in patients with left-sided bioprosthetic heart valves and atrial fibrillation: a systematic review and meta-analysis. Eur J Clin Pharmacol 2023; 79:461-471. [PMID: 36795127 DOI: 10.1007/s00228-023-03463-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/26/2023] [Indexed: 02/17/2023]
Abstract
BACKGROUND The efficacy and safety of direct oral anticoagulants (DOACs) versus vitamin K antagonists (VKAs) for the treatment of patients with left-sided bioprosthetic heart valves (BHV) and atrial fibrillation (AF) remain controversial. This study aims to perform a meta-analysis to evaluate the efficacy and safety of DOACs versus VKAs in this region. METHODS We retrieved all relevant randomized controlled studies and observational cohort studies, which critically assessed the efficacy and safety of DOACs versus VKAs among patients with left-sided BHV and AF in databases of PubMed, Cochrane, ISI Web of Sciences, and Embase. The efficacy outcomes of this meta-analysis were stroke events and all-cause death when the safety outcomes included major and any bleeding. RESULTS The analysis integrated 13 studies while enrolling 27,793 patients with AF and left-sided BHV. DOACs reduced the rate of stroke by 33% compared with VKAs (risk ratio [RR] 0.67; 95% CI 0.50-0.91), with no increased incidence of all-cause death (RR 0.96; 95% CI 0.82-1.12). For safety outcomes, major bleeding was reduced by 28% using DOACs rather than VKAs (RR 0.72; 95% CI 0.52-0.99), while there was no difference in the events of any bleeding (RR 0.84; 95% CI 0.68-1.03). In addition, in patients younger than 75 years old, the stroke rate was reduced by 45% in the population using DOACs (RR 0.55; 95% CI 0.37-0.84). CONCLUSION Our meta-analysis demonstrated that in patients with AF and BHV, compared with VKAs, using DOACs was associated with reduced stroke and major bleeding events without an increase of all-cause mortality and any bleeding. In the population younger than 75 years old, DOAC might be more effective in preventing cardiogenic stroke.
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Affiliation(s)
- Dong Li
- Department of Cardiovascular Medicine, Second Hospital of Lanzhou University, Lanzhou, China
| | - Peng Chang
- Department of Cardiovascular Medicine, Second Hospital of Lanzhou University, Lanzhou, China
| | - Hongliang Zhang
- Department of Cardiovascular Medicine, Second Hospital of Lanzhou University, Lanzhou, China
| | - Feng Bai
- Department of Cardiovascular Medicine, Second Hospital of Lanzhou University, Lanzhou, China
| | - Qiang Wu
- Department of Cardiovascular Medicine, Second Hospital of Lanzhou University, Lanzhou, China.
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Frazzetto M, Sanfilippo C, Ferrarotto L, Tamburino C. A focus on the percutaneous therapy of mitral and tricuspid regurgitation. Eur Heart J Suppl 2023; 25:B155-B160. [PMID: 37091654 PMCID: PMC10120995 DOI: 10.1093/eurheartjsupp/suad095] [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] [Indexed: 04/25/2023]
Abstract
While mitral stenosis of rheumatic origin has been effectively treated percutaneously for more than 20 years, transcatheter treatment of mitral (MR) and tricuspid (TR) regurgitation appears as a contemporary unmet clinical need. The advent of new transcatheter therapies offers several treatment options for elderly and frail patients at high surgical risk. MitraClip is now consolidated as a therapy for functional MR in selected patients. Transcatheter mitral valve replacement is a promising alternative to transcatheter repair, for both functional and degenerative forms. However, further developments and new evidence are needed. Transcatheter treatment of the tricuspid valve has arrived late compared to similar technologies that have been developed for the aortic and mitral valve, and is currently in its infancy. This is likely due, in part, to the previously underreported impact of TR on patient outcomes. Edge-to-edge repair is the most advanced transcatheter solution in development. Data on annuloplasty and tricuspid valve replacement are limited and more evidence is needed. The future looks promising for transcatheter mitral and tricuspid valve therapies, although their place in clinical practice has yet to be clearly defined.
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Affiliation(s)
- Marco Frazzetto
- Division of Cardiology, A.O.U. ‘G. Rodolico-San Marco’ Polyclinic, Catania, Italy
| | - Claudio Sanfilippo
- Division of Cardiology, A.O.U. ‘G. Rodolico-San Marco’ Polyclinic, Catania, Italy
| | - Luigi Ferrarotto
- Division of Cardiology, A.O.U. ‘G. Rodolico-San Marco’ Polyclinic, Catania, Italy
| | - Corrado Tamburino
- Division of Cardiology, A.O.U. ‘G. Rodolico-San Marco’ Polyclinic, Catania, Italy
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Cotella JI, Miyoshi T, Mor-Avi V, Addetia K, Schreckenberg M, Sun D, Slivnick JA, Blankenhagen M, Hitschrich N, Amuthan V, Citro R, Daimon M, Gutiérrez-Fajardo P, Kasliwal R, Kirkpatrick JN, Monaghan MJ, Muraru D, Ogunyankin KO, Park SW, Tude Rodrigues AC, Ronderos R, Sadeghpour A, Scalia G, Takeuchi M, Tsang W, Tucay ES, Zhang M, Prado AD, Asch FM, Lang RM. Normative values of the aortic valve area and Doppler measurements using two-dimensional transthoracic echocardiography: results from the Multicentre World Alliance of Societies of Echocardiography Study. Eur Heart J Cardiovasc Imaging 2023; 24:415-423. [PMID: 36331816 DOI: 10.1093/ehjci/jeac220] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 09/28/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
AIMS Aortic valve area (AVA) used for echocardiographic assessment of aortic stenosis (AS) has been traditionally interpreted independently of sex, age and race. As differences in normal values might impact clinical decision-making, we aimed to establish sex-, age- and race-specific normative values for AVA and Doppler parameters using data from the World Alliance Societies of Echocardiography (WASE) Study. METHODS AND RESULTS Two-dimensional transthoracic echocardiographic studies were obtained from 1903 healthy adult subjects (48% women). Measurements of the left ventricular outflow tract (LVOT) diameter and Doppler parameters, including AV and LVOT velocity time integrals (VTIs), AV mean pressure gradient, peak velocity, were obtained according to ASE/EACVI guidelines. AVA was calculated using the continuity equation. Compared with men, women had smaller LVOT diameters and AVA values, and higher AV peak velocities and mean gradients (all P < 0.05). LVOT and AV VTI were significantly higher in women (P < 0.05), and both parameters increased with age in both sexes. AVA differences persisted after indexing to body surface area. According to the current diagnostic criteria, 13.5% of women would have been considered to have mild AS and 1.4% moderate AS. LVOT diameter and AVA were lower in older subjects, both men and women, and were lower in Asians, compared with whites and blacks. CONCLUSION WASE data provide clinically relevant information about significant differences in normal AVA and Doppler parameters according to sex, age, and race. The implementation of this information into clinical practice should involve development of specific normative values for each ethnic group using standardized methodology.
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Affiliation(s)
- Juan I Cotella
- University of Chicago, 5758 S. Maryland Avenue, MC 9067, DCAM 5509, Chicago, IL 60637, USA
| | | | - Victor Mor-Avi
- University of Chicago, 5758 S. Maryland Avenue, MC 9067, DCAM 5509, Chicago, IL 60637, USA
| | - Karima Addetia
- University of Chicago, 5758 S. Maryland Avenue, MC 9067, DCAM 5509, Chicago, IL 60637, USA
| | | | - Deyu Sun
- University of Chicago, 5758 S. Maryland Avenue, MC 9067, DCAM 5509, Chicago, IL 60637, USA
| | - Jeremy A Slivnick
- University of Chicago, 5758 S. Maryland Avenue, MC 9067, DCAM 5509, Chicago, IL 60637, USA
| | | | | | | | | | | | | | | | | | | | - Denisa Muraru
- Instituto Auxologico Italiano, IRCCS, San Luca Hospital and University of Milano-Bicocca, Milan, Italy
| | | | | | | | - Ricardo Ronderos
- Instituto Cardiovascular de Buenos Aires, Buenos Aires, Argentina
| | - Anita Sadeghpour
- Rajaie Cardiovascular Medical and Research Center, Tehran, Islamic Republic of Iran
| | | | - Masaaki Takeuchi
- University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Wendy Tsang
- Toronto General Hospital, University of Toronto, Toronto, ON, Canada
| | | | - Mei Zhang
- Qilu Hospital of Shandong University, Jinan, China
| | - Aldo D Prado
- Centro Privado de Cardiología, Tucumán, Argentina
| | | | - Roberto M Lang
- University of Chicago, 5758 S. Maryland Avenue, MC 9067, DCAM 5509, Chicago, IL 60637, USA
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Santangelo G, Bursi F, Faggiano A, Moscardelli S, Simeoli PS, Guazzi M, Lorusso R, Carugo S, Faggiano P. The Global Burden of Valvular Heart Disease: From Clinical Epidemiology to Management. J Clin Med 2023; 12:2178. [PMID: 36983180 PMCID: PMC10054046 DOI: 10.3390/jcm12062178] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 02/23/2023] [Accepted: 03/08/2023] [Indexed: 03/16/2023] Open
Abstract
Valvular heart disease is a leading cause of cardiovascular morbidity and mortality and a major contributor of symptoms and functional disability. Knowledge of valvular heart disease epidemiology and a deep comprehension of the geographical and temporal trends are crucial for clinical advances and the formulation of effective health policy for primary and secondary prevention. This review mainly focuses on the epidemiology of primary (organic, related to the valve itself) valvular disease and its management, especially emphasizing the importance of heart valve centers in ensuring the best care of patients through a multidisciplinary team.
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Affiliation(s)
- Gloria Santangelo
- Department of Cardio-Thoracic-Vascular Diseases, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Francesca Bursi
- Division of Cardiology, Department of Health Sciences, San Paolo Hospital, University of Milan, 20122 Milan, Italy
| | - Andrea Faggiano
- Department of Cardio-Thoracic-Vascular Diseases, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Silvia Moscardelli
- Division of Cardiology, Department of Health Sciences, San Paolo Hospital, University of Milan, 20122 Milan, Italy
| | - Pasquale Simone Simeoli
- Division of Cardiology, Department of Health Sciences, San Paolo Hospital, University of Milan, 20122 Milan, Italy
| | - Marco Guazzi
- Division of Cardiology, Department of Health Sciences, San Paolo Hospital, University of Milan, 20122 Milan, Italy
| | - Roberto Lorusso
- Cardiothoracic Surgery Department, Heart and Vascular Centre, Maastricht University Medical Centre (MUMC), The Cardiovascular Research Institute Maastricht (CARIM), 6229 ER Maastricht, The Netherlands
| | - Stefano Carugo
- Department of Cardio-Thoracic-Vascular Diseases, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Pompilio Faggiano
- Cardiothoracic Department Unit, Fondazione Poliambulanza, Via Leonida Bissolati 57, 25100 Brescia, Italy
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Altes A, Vermes E, Levy F, Vancraeynest D, Pasquet A, Vincentelli A, Gerber BL, Tribouilloy C, Maréchaux S. Quantification of primary mitral regurgitation by echocardiography: A practical appraisal. Front Cardiovasc Med 2023; 10:1107724. [PMID: 36970355 PMCID: PMC10036770 DOI: 10.3389/fcvm.2023.1107724] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 02/20/2023] [Indexed: 03/12/2023] Open
Abstract
The accurate quantification of primary mitral regurgitation (MR) and its consequences on cardiac remodeling is of paramount importance to determine the best timing for surgery in these patients. The recommended echocardiographic grading of primary MR severity relies on an integrated multiparametric approach. It is expected that the large number of echocardiographic parameters collected would offer the possibility to check the measured values regarding their congruence in order to conclude reliably on MR severity. However, the use of multiple parameters to grade MR can result in potential discrepancies between one or more of them. Importantly, many factors beyond MR severity impact the values obtained for these parameters including technical settings, anatomic and hemodynamic considerations, patient's characteristics and echocardiographer' skills. Hence, clinicians involved in valvular diseases should be well aware of the respective strengths and pitfalls of each of MR grading methods by echocardiography. Recent literature highlighted the need for a reappraisal of the severity of primary MR from a hemodynamic perspective. The estimation of MR regurgitation fraction by indirect quantitative methods, whenever possible, should be central when grading the severity of these patients. The assessment of the MR effective regurgitant orifice area by the proximal flow convergence method should be used in a semi-quantitative manner. Furthermore, it is crucial to acknowledge specific clinical situations in MR at risk of misevaluation when grading severity such as late-systolic MR, bi-leaflet prolapse with multiple jets or extensive leak, wall-constrained eccentric jet or in older patients with complex MR mechanism. Finally, it is debatable whether the 4-grades classification of MR severity would be still relevant nowadays, since the indication for mitral valve (MV) surgery is discussed in clinical practice for patients with 3+ and 4+ primary MR based on symptoms, specific markers of adverse outcome and MV repair probability. Primary MR grading should be seen as a continuum integrating both quantification of MR and its consequences, even for patients with presumed "moderate" MR.
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Affiliation(s)
- Alexandre Altes
- GCS-Groupement des Hôpitaux de l’Institut Catholique de Lille/Lille Catholic Hospitals, Heart Valve Center, Cardiology Department, ETHICS EA 7446, Lille Catholic University, Lille, France
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | | | - Franck Levy
- Department of Cardiology, Center Cardio-Thoracique de Monaco, Monaco, Monaco
| | - David Vancraeynest
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - Agnès Pasquet
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | - André Vincentelli
- Cardiac Surgery Department, Centre Hospitalier Régional et Universitaire de Lille, Lille, France
| | - Bernhard L. Gerber
- Division of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc, Pôle de Recherche Cardiovasculaire (CARD), Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Brussels, Belgium
| | | | - Sylvestre Maréchaux
- GCS-Groupement des Hôpitaux de l’Institut Catholique de Lille/Lille Catholic Hospitals, Heart Valve Center, Cardiology Department, ETHICS EA 7446, Lille Catholic University, Lille, France
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Jiang Y, Wang S, Lin W, Gu J, Li G, Shao Y. BMAL1 Promotes Valvular Interstitial Cells’ Osteogenic Differentiation through NF-κ B/AKT/MAPK Pathway. J Cardiovasc Dev Dis 2023; 10:jcdd10030110. [PMID: 36975874 PMCID: PMC10054744 DOI: 10.3390/jcdd10030110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
Objectives: Calcific aortic valve disease (CAVD) is most common in the aging population and is without effective medical treatments. Brain and muscle ARNT-like 1 (BMAL1) is related to calcification. It has unique tissue-specific characteristics and plays different roles in different tissues’ calcification processes. The purpose of the present study is to explore the role of BMAL1 in CAVD. Methods: The protein levels of BMAL1 in normal and calcified human aortic valves and valvular interstitial cells (VICs) isolated from normal and calcified human aortic valves were checked. HVICs were cultured in osteogenic medium as an in vitro model, and BMAL1 expression and location were detected. TGF-β and RhoA/ROCK inhibitors and RhoA-siRNA were applied to detect the mechanism underlying the source of BMAL1 during HVICs’ osteogenic differentiation. ChIP was applied to check whether BMAL1 could directly interact with the runx2 primer CPG region, and the expression of key proteins involved in the TNF signaling pathway and NF-κ B pathway was tested after silencing BMAL1. Results: In this study, we found that BMAL1 expression was elevated in calcified human aortic valves and VICs isolated from calcified human aortic valves. Osteogenic medium could promote BMAL1 expression in HVICs and the knockdown of BMAL1 induced the inhibition of HVICs’ osteogenic differentiation. Furthermore, the osteogenic medium promoting BMAL1 expression could be blocked by TGF-β and RhoA/ROCK inhibitors and RhoA-siRNA. Meanwhile, BMAL1 could not bind with the runx2 primer CPG region directly, but knockdown of BMAL1 led to decreased levels of P-AKT, P-IκBα, P-p65 and P-JNK. Conclusions: Osteogenic medium could promote BMAL1 expression in HVICs through the TGF-β/RhoA/ROCK pathway. BMAL1 could not act as a transcription factor, but functioned through the NF-κ B/AKT/MAPK pathway to regulate the osteogenic differentiation of HVICs.
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Affiliation(s)
- Yefan Jiang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, No. 300, Nanjing 210029, China
| | - Song Wang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, No. 300, Nanjing 210029, China
| | - Wenfeng Lin
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, No. 300, Nanjing 210029, China
| | - Jiaxi Gu
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, No. 300, Nanjing 210029, China
| | - Geng Li
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road, No. 1277, Wuhan 430022, China
- Correspondence: (G.L.); (Y.S.); Tel.: +86-027-85351611 (G.L.); +86-025-68303574 (Y.S.)
| | - Yongfeng Shao
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, No. 300, Nanjing 210029, China
- Correspondence: (G.L.); (Y.S.); Tel.: +86-027-85351611 (G.L.); +86-025-68303574 (Y.S.)
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Wang L, Zhao X, Lu Y, Xiao J. Non-coding RNAs: a new frontier in regulation of exercise-induced physiological cardiac hypertrophy. CURRENT OPINION IN PHYSIOLOGY 2023. [DOI: 10.1016/j.cophys.2023.100653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
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