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Tartaglione D, Prozzo D, Bianchi R, Ciccarelli G, Cappelli Bigazzi M, Natale F, Golino P, Cimmino G. Treating Aortic Valve Stenosis for Vitality Improvement: The TAVI Study. Diseases 2024; 12:175. [PMID: 39195174 DOI: 10.3390/diseases12080175] [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: 06/18/2024] [Revised: 07/30/2024] [Accepted: 08/01/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Degenerative aortic valve stenosis (AS) is the most common valvular heart disease among the elderly. Once cardiac symptoms occur, current guidelines recommend aortic valve replacement. Progressive degeneration/calcification reduces leaflet mobility with gradual cardiac output (CO) impairment. Low CO might induce abnormal brain-aging with cognitive impairment and increased risk of dementia, such as Alzheimer's disease or vascular dementia. On the contrary, cognitive improvement has been reported in patients in whom CO was restored. Transcatheter aortic valve implantation (TAVI) has proven to be a safe alternative to conventional surgery, with a similar mid-term survival and stroke risk even in low-risk patients. TAVI is associated with an immediate CO improvement, also effecting the cerebrovascular system, leading to an increased cerebral blood flow. The correlation between TAVI and cognitive improvement is still debated. The present study aims at evaluating this relationship in a cohort of AS patients where cognitive assessment before and after TAVI was available. METHODS a total of 47 patients were retrospectively selected. A transcranial Doppler ultrasound (TCD) before and after TAVI, a quality of life (QoL) score, as well as a mini-mental state examination (MMSE) at baseline and up to 36 months, were available. RESULTS TAVI was associated with immediate increase in mean cerebral flow at TCD. MMSE slowly increase at 36-months follow-up with improved QoL mainly for symptoms, emotions and social interactions. CONCLUSIONS this proof-of-concept study indicates that TAVI might induce cognitive improvement in the long-term as a result of multiple factors, such as cerebral flow restoration and a better QoL.
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Affiliation(s)
- Donato Tartaglione
- Vanvitelli Cardiology and Intensive Care Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Dario Prozzo
- Cardiology Unit, Cardarelli Hospital, 80131 Naples, Italy
| | - Renatomaria Bianchi
- Vanvitelli Cardiology and Intensive Care Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Giovanni Ciccarelli
- Vanvitelli Cardiology and Intensive Care Unit, Monaldi Hospital, 80131 Naples, Italy
| | | | - Francesco Natale
- Vanvitelli Cardiology and Intensive Care Unit, Monaldi Hospital, 80131 Naples, Italy
| | - Paolo Golino
- Vanvitelli Cardiology and Intensive Care Unit, Monaldi Hospital, 80131 Naples, Italy
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
| | - Giovanni Cimmino
- Department of Translational Medical Sciences, Section of Cardiology, University of Campania Luigi Vanvitelli, 80131 Naples, Italy
- Cardiology Unit, AOU Luigi Vanvitelli, 80138 Naples, Italy
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2
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Suc G, Iung B. Aortic valve disease and heart failure with mildly reduced ejection fraction: New insights and pending questions. Eur J Heart Fail 2024; 26:1847-1849. [PMID: 38961729 DOI: 10.1002/ejhf.3360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 06/18/2024] [Indexed: 07/05/2024] Open
Affiliation(s)
- Gaspard Suc
- Cardiology Department, Bichat Hospital, AP-HP, Paris, France
- Université Paris-Cité, Paris, France
| | - Bernard Iung
- Cardiology Department, Bichat Hospital, AP-HP, Paris, France
- Université Paris-Cité, Paris, France
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3
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Oikonomou EK, Holste G, Yuan N, Coppi A, McNamara RL, Haynes NA, Vora AN, Velazquez EJ, Li F, Menon V, Kapadia SR, Gill TM, Nadkarni GN, Krumholz HM, Wang Z, Ouyang D, Khera R. A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression. JAMA Cardiol 2024; 9:534-544. [PMID: 38581644 PMCID: PMC10999005 DOI: 10.1001/jamacardio.2024.0595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 02/27/2024] [Indexed: 04/08/2024]
Abstract
Importance Aortic stenosis (AS) is a major public health challenge with a growing therapeutic landscape, but current biomarkers do not inform personalized screening and follow-up. A video-based artificial intelligence (AI) biomarker (Digital AS Severity index [DASSi]) can detect severe AS using single-view long-axis echocardiography without Doppler characterization. Objective To deploy DASSi to patients with no AS or with mild or moderate AS at baseline to identify AS development and progression. Design, Setting, and Participants This is a cohort study that examined 2 cohorts of patients without severe AS undergoing echocardiography in the Yale New Haven Health System (YNHHS; 2015-2021) and Cedars-Sinai Medical Center (CSMC; 2018-2019). A novel computational pipeline for the cross-modal translation of DASSi into cardiac magnetic resonance (CMR) imaging was further developed in the UK Biobank. Analyses were performed between August 2023 and February 2024. Exposure DASSi (range, 0-1) derived from AI applied to echocardiography and CMR videos. Main Outcomes and Measures Annualized change in peak aortic valve velocity (AV-Vmax) and late (>6 months) aortic valve replacement (AVR). Results A total of 12 599 participants were included in the echocardiographic study (YNHHS: n = 8798; median [IQR] age, 71 [60-80] years; 4250 [48.3%] women; median [IQR] follow-up, 4.1 [2.4-5.4] years; and CSMC: n = 3801; median [IQR] age, 67 [54-78] years; 1685 [44.3%] women; median [IQR] follow-up, 3.4 [2.8-3.9] years). Higher baseline DASSi was associated with faster progression in AV-Vmax (per 0.1 DASSi increment: YNHHS, 0.033 m/s per year [95% CI, 0.028-0.038] among 5483 participants; CSMC, 0.082 m/s per year [95% CI, 0.053-0.111] among 1292 participants), with values of 0.2 or greater associated with a 4- to 5-fold higher AVR risk than values less than 0.2 (YNHHS: 715 events; adjusted hazard ratio [HR], 4.97 [95% CI, 2.71-5.82]; CSMC: 56 events; adjusted HR, 4.04 [95% CI, 0.92-17.70]), independent of age, sex, race, ethnicity, ejection fraction, and AV-Vmax. This was reproduced across 45 474 participants (median [IQR] age, 65 [59-71] years; 23 559 [51.8%] women; median [IQR] follow-up, 2.5 [1.6-3.9] years) undergoing CMR imaging in the UK Biobank (for participants with DASSi ≥0.2 vs those with DASSi <.02, adjusted HR, 11.38 [95% CI, 2.56-50.57]). Saliency maps and phenome-wide association studies supported associations with cardiac structure and function and traditional cardiovascular risk factors. Conclusions and Relevance In this cohort study of patients without severe AS undergoing echocardiography or CMR imaging, a new AI-based video biomarker was independently associated with AS development and progression, enabling opportunistic risk stratification across cardiovascular imaging modalities as well as potential application on handheld devices.
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Affiliation(s)
- Evangelos K. Oikonomou
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Gregory Holste
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin
| | - Neal Yuan
- Department of Medicine, University of California, San Francisco
- Division of Cardiology, San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Andreas Coppi
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Robert L. McNamara
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Norrisa A. Haynes
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Amit N. Vora
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Eric J. Velazquez
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Fan Li
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, Connecticut
| | - Venu Menon
- Heart and Vascular Institute, Department of Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Samir R. Kapadia
- Heart and Vascular Institute, Department of Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, Ohio
| | - Thomas M. Gill
- Section of Geriatrics, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Girish N. Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Harlan M. Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
| | - Zhangyang Wang
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin
| | - David Ouyang
- Smidt Heart Institute, Department of Cardiology, Cedars-Sinai Medical Center, Los Angeles, California
- Division of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
- Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, Connecticut
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut
- Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
- Associate Editor, JAMA
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4
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Costa G, Giannini C. The Sooner, The Better! JACC Cardiovasc Interv 2024; 17:1265-1266. [PMID: 38811108 DOI: 10.1016/j.jcin.2024.04.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 05/31/2024]
Affiliation(s)
- Giulia Costa
- Cardiac Catheterization Laboratory, Cardiac Thoracic and Vascular Department, Azienda Ospedaliero-Unversitaria Pisana, Pisa, Italy.
| | - Cristina Giannini
- Cardiac Catheterization Laboratory, Cardiac Thoracic and Vascular Department, Azienda Ospedaliero-Unversitaria Pisana, Pisa, Italy
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Oikonomou EK, Holste G, Yuan N, Coppi A, McNamara RL, Haynes N, Vora AN, Velazquez EJ, Li F, Menon V, Kapadia SR, Gill TM, Nadkarni GN, Krumholz HM, Wang Z, Ouyang D, Khera R. A Multimodality Video-Based AI Biomarker For Aortic Stenosis Development And Progression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.09.28.23296234. [PMID: 37808685 PMCID: PMC10557799 DOI: 10.1101/2023.09.28.23296234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Importance Aortic stenosis (AS) is a major public health challenge with a growing therapeutic landscape, but current biomarkers do not inform personalized screening and follow-up. Objective A video-based artificial intelligence (AI) biomarker (Digital AS Severity index [DASSi]) can detect severe AS using single-view long-axis echocardiography without Doppler. Here, we deploy DASSi to patients with no or mild/moderate AS at baseline to identify AS development and progression. Design Setting and Participants We defined two cohorts of patients without severe AS undergoing echocardiography in the Yale-New Haven Health System (YNHHS) (2015-2021, 4.1[IQR:2.4-5.4] follow-up years) and Cedars-Sinai Medical Center (CSMC) (2018-2019, 3.4[IQR:2.8-3.9] follow-up years). We further developed a novel computational pipeline for the cross-modality translation of DASSi into cardiac magnetic resonance (CMR) imaging in the UK Biobank (2.5[IQR:1.6-3.9] follow-up years). Analyses were performed between August 2023-February 2024. Exposure DASSi (range: 0-1) derived from AI applied to echocardiography and CMR videos. Main Outcomes and Measures Annualized change in peak aortic valve velocity (AV-Vmax) and late (>6 months) aortic valve replacement (AVR). Results A total of 12,599 participants were included in the echocardiographic study (YNHHS: n=8,798, median age of 71 [IQR (interquartile range):60-80] years, 4250 [48.3%] women, and CSMC: n=3,801, 67 [IQR:54-78] years, 1685 [44.3%] women). Higher baseline DASSi was associated with faster progression in AV-Vmax (per 0.1 DASSi increments: YNHHS: +0.033 m/s/year [95%CI:0.028-0.038], n=5,483, and CSMC: +0.082 m/s/year [0.053-0.111], n=1,292), with levels ≥ vs <0.2 linked to a 4-to-5-fold higher AVR risk (715 events in YNHHS; adj.HR 4.97 [95%CI: 2.71-5.82], 56 events in CSMC: 4.04 [0.92-17.7]), independent of age, sex, ethnicity/race, ejection fraction and AV-Vmax. This was reproduced across 45,474 participants (median age 65 [IQR:59-71] years, 23,559 [51.8%] women) undergoing CMR in the UK Biobank (adj.HR 11.4 [95%CI:2.56-50.60] for DASSi ≥vs<0.2). Saliency maps and phenome-wide association studies supported links with traditional cardiovascular risk factors and diastolic dysfunction. Conclusions and Relevance In this cohort study of patients without severe AS undergoing echocardiography or CMR imaging, a new AI-based video biomarker is independently associated with AS development and progression, enabling opportunistic risk stratification across cardiovascular imaging modalities as well as potential application on handheld devices.
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Affiliation(s)
- Evangelos K. Oikonomou
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Gregory Holste
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Neal Yuan
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Division of Cardiology, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Andreas Coppi
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA
| | - Robert L. McNamara
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Norrisa Haynes
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Amit N. Vora
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Eric J. Velazquez
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Fan Li
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
- Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA
| | - Venu Menon
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Samir R. Kapadia
- Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Thomas M Gill
- Section of Geriatrics, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Girish N. Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Harlan M. Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA
| | - Zhangyang Wang
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
| | - David Ouyang
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT
- Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT
- Associate Editor, JAMA
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Ram C, Yousef S, Ma WG, Vallabhajosyula I, Singh S, Agarwal R, Milewski RK, Assi R, Patel PA, Williams M, Geirsson A, Vallabhajosyula P. Living in disadvantaged neighborhoods linked to less intervention for severe aortic stenosis. Sci Rep 2024; 14:4952. [PMID: 38418864 PMCID: PMC10902341 DOI: 10.1038/s41598-024-52660-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/22/2024] [Indexed: 03/02/2024] Open
Abstract
To investigate the association between area deprivation index (ADI) and aortic valve replacement (AVR) in patients with severe aortic stenosis (AS). Patients aged 40-95 years with severe AS confirmed by echocardiography were included. The 9-digit zip code of patient residence address was used to identify the ADI ranking, based on which patients were divided into 5 groups (with Group E being most deprived). The rates of AV intervention were compared among 5 groups using competing risks analysis, with death as a competing event. We included 1751 patients with severe AS from 2013 to 2018 followed for a median 2.8 (interquartile range, 1.5-4.8) years. The more distressed ADI groups tended to be younger (P = 0.002), female (P < 0.001), and of African American race (P < 0.001), have higher presentation of sepsis (P = 0.031), arrhythmia (P = 0.022), less likely to have previous diagnosis of AS (P < 0.001); and were less likely to undergo AVR (52.5% vs 46.9% vs 46.1% vs 48.9% vs 39.7%, P = 0.023). Using competing risk analysis, the highest ADI group (E) were the least and the lowest ADI group (A) the most likely to undergo AVR (Gray's test, P = 0.025). The association between ADI ranking and AVR rates was influenced by sex and race. Within group analysis, there was significant association between race and AVR (Gray's test, P < 0.001), and between sex and AVR (Gray's test, P < 0.001). Patients with severe AS living in more deprived neighborhoods were less likely to undergo aortic valve interventions, which was influenced by female gender, and African American race.
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Affiliation(s)
- Chirag Ram
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
- Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Sameh Yousef
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Wei-Guo Ma
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Ishani Vallabhajosyula
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Saket Singh
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Ritu Agarwal
- Joint Data Analytics Team, Information Technology Service, Yale University, New Haven, USA
| | - Rita K Milewski
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Roland Assi
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Prakash A Patel
- Division of Cardiac Anesthesiology, Yale School of Medicine, New Haven, CT, USA
| | - Matthew Williams
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Arnar Geirsson
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA
| | - Prashanth Vallabhajosyula
- Division of Cardiac Surgery, Yale Aortic Institute, Yale School of Medicine, 330 Cedar Street BB204, New Haven, CT, 06520, USA.
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Chyrchel M, Siłka W, Wylaź M, Wójcik W, Surdacki A. Electrocardiography versus Echocardiography in Severe Aortic Stenosis with the Consideration of Coexistent Coronary Artery Disease. J Clin Med 2024; 13:1013. [PMID: 38398326 PMCID: PMC10888567 DOI: 10.3390/jcm13041013] [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: 12/31/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024] Open
Abstract
(1) Background: Coexistent coronary artery disease (CAD) might influence the ability of electrocardiogram (ECG) to identify echocardiographic left ventricular hypertrophy (ECHO-LVH) in patients with aortic stenosis (AS). We aimed to assess the relation between ECG-LVH (by the Sokolov-Lyon or Cornell criteria) and ECHO-LVH considering coexistent CAD. (2) Methods: We retrospectively analyzed the medical records of 74 patients (36 males) with severe AS who were hospitalized in the University Hospital in Cracow from 2021 to 2022. (3) Results: ECHO-LVH was present in 49 (66%) patients, whereas 35 (47.3%) patients had ECG-LVH. There was no difference between the rate of ECG-LVH in patients with vs. without ECHO-LVH. Single-vessel and multi-vessel CAD were diagnosed by invasive coronary angiography in 18% and 11% of patients, respectively. The sensitivity of the classical ECG-LVH criteria with regard to ECHO-LVH was low, reaching at best 41% for the Sokolov-Lyon and Cornell criteria. The results were similar and lacked a pattern when considering patients without significant stenosis, with single- and multi-vessel disease separately. Correlations between the left ventricular mass index and ECG-derived parameters were weak and present solely for the Lewis index (r = 0.31), R wave's amplitude >1.1 mV in aVL (r = 0.36), as well as the Cornell (r = 0.32) and Sokolov-Lyon (r = 0.31) voltage criteria (p < 0.01). The presence, location of stenoses, and CAD extent were not associated with the presence of either ECHO-LVH or ECG-LVH, irrespective of individual ECG-LVH criteria. (4) Conclusions: The sensitivity of classical ECG criteria for echocardiographic LVH in severe AS is low, regardless of coexistent CAD or its angiographic extent.
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Affiliation(s)
- Michał Chyrchel
- Second Department of Cardiology, Institute of Cardiology, Faculty of Medicine, Jagiellonian University Medical College, 30-688 Cracow, Poland; (M.C.); (A.S.)
- Department of Cardiology and Cardiovascular Interventions, University Hospital, 30-688 Cracow, Poland
| | - Wojciech Siłka
- Students’ Scientific Group, Second Department of Cardiology, Jagiellonian University Medical College, 30-688 Cracow, Poland; (M.W.); (W.W.)
| | - Mateusz Wylaź
- Students’ Scientific Group, Second Department of Cardiology, Jagiellonian University Medical College, 30-688 Cracow, Poland; (M.W.); (W.W.)
| | - Wiktor Wójcik
- Students’ Scientific Group, Second Department of Cardiology, Jagiellonian University Medical College, 30-688 Cracow, Poland; (M.W.); (W.W.)
| | - Andrzej Surdacki
- Second Department of Cardiology, Institute of Cardiology, Faculty of Medicine, Jagiellonian University Medical College, 30-688 Cracow, Poland; (M.C.); (A.S.)
- Department of Cardiology and Cardiovascular Interventions, University Hospital, 30-688 Cracow, Poland
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8
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Zoghbi WA, Jone PN, Chamsi-Pasha MA, Chen T, Collins KA, Desai MY, Grayburn P, Groves DW, Hahn RT, Little SH, Kruse E, Sanborn D, Shah SB, Sugeng L, Swaminathan M, Thaden J, Thavendiranathan P, Tsang W, Weir-McCall JR, Gill E. Guidelines for the Evaluation of Prosthetic Valve Function With Cardiovascular Imaging: A Report From the American Society of Echocardiography Developed in Collaboration With the Society for Cardiovascular Magnetic Resonance and the Society of Cardiovascular Computed Tomography. J Am Soc Echocardiogr 2024; 37:2-63. [PMID: 38182282 DOI: 10.1016/j.echo.2023.10.004] [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: 01/07/2024]
Abstract
In patients with significant cardiac valvular disease, intervention with either valve repair or valve replacement may be inevitable. Although valve repair is frequently performed, especially for mitral and tricuspid regurgitation, valve replacement remains common, particularly in adults. Diagnostic methods are often needed to assess the function of the prosthesis. Echocardiography is the first-line method for noninvasive evaluation of prosthetic valve function. The transthoracic approach is complemented with two-dimensional and three-dimensional transesophageal echocardiography for further refinement of valve morphology and function when needed. More recently, advances in computed tomography and cardiac magnetic resonance have enhanced their roles in evaluating valvular heart disease. This document offers a review of the echocardiographic techniques used and provides recommendations and general guidelines for evaluation of prosthetic valve function on the basis of the scientific literature and consensus of a panel of experts. This guideline discusses the role of advanced imaging with transesophageal echocardiography, cardiac computed tomography, and cardiac magnetic resonance in evaluating prosthetic valve structure, function, and regurgitation. It replaces the 2009 American Society of Echocardiography guideline on prosthetic valves and complements the 2019 guideline on the evaluation of valvular regurgitation after percutaneous valve repair or replacement.
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Affiliation(s)
- William A Zoghbi
- Houston Methodist Hospital, DeBakey Heart & Vascular Center, Houston, Texas.
| | - Pei-Ni Jone
- Lurie Children's Hospital, Northwestern University, Chicago, Illinois
| | | | - Tiffany Chen
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Milind Y Desai
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio
| | - Paul Grayburn
- Baylor Scott & White Health, University of Texas Southwestern, Dallas, Texas
| | - Daniel W Groves
- University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Rebecca T Hahn
- Columbia University Irving Medical Center, New York, New York
| | - Stephen H Little
- Houston Methodist Hospital, DeBakey Heart & Vascular Center, Houston, Texas
| | - Eric Kruse
- University of Chicago Medical Center, Chicago, Illinois
| | | | - Sangeeta B Shah
- VCU Pauley Heart Center, Virginia Commonwealth University, Richmond, Virginia
| | - Lissa Sugeng
- North Shore University Hospital, Manhasset, New York
| | - Madhav Swaminathan
- Cardiothoracic Anesthesiology and Critical Care Medicine, Duke University, Durham, North Carolina
| | | | | | - Wendy Tsang
- University of Toronto, Toronto, Ontario, Canada
| | | | - Edward Gill
- University of Colorado School of Medicine, Aurora, Colorado
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9
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Duchnowski P, Śmigielski W. Usefulness of the N-Terminal of the Prohormone Brain Natriuretic Peptide in Predicting Acute Kidney Injury Requiring Renal Replacement Therapy in Patients Undergoing Heart Valve Surgery. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2083. [PMID: 38138186 PMCID: PMC10744829 DOI: 10.3390/medicina59122083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 11/24/2023] [Accepted: 11/26/2023] [Indexed: 12/24/2023]
Abstract
Background and Objectives: By definition, acute kidney injury (AKI) is a clinical syndrome diagnosed when the increase in serum creatinine concentration is >0.3 mg/dL in 48 h or >1.5-fold in the last seven days or when diuresis < 0.5 mL/kg/h for a consecutive 6 h. AKI is one of the severe complications that may occur in the early postoperative period in patients undergoing heart valve surgery, significantly increasing the risk of death. Early implementation of renal replacement therapy increases the chances of improving treatment results in patients with postoperative AKI. The study assessed the predictive ability of selected preoperative and perioperative parameters for the occurrence of postoperative AKI requiring renal replacement therapy in the early postoperative period in a group of patients with severe valvular heart disease. Materials and Methods: A prospective study was conducted on a group of patients undergoing consecutive heart valve surgeries. The primary endpoint was postoperative AKI requiring renal replacement therapy. AKI was diagnosed with an increase in serum creatinine > 0.3 mg/dL in 48 h or >1.5-fold in the previous 7 days and/or a decrease in diuresis < 0.5 mL/kg/h for 6 h. The observation period was until the patient was discharged home or death occurred. Logistic regression analysis was used to assess which variables were predictive of primary endpoint, and odds ratios (OR) were calculated with a 95% confidence interval (CI). Multivariate analysis was based on the result of single factor logistic regression, i.e., to further steps, all statistically significant variables were taken into consideration. Results: A total of 607 patients were included in the study. The primary endpoint occurred in 50 patients. At multivariate analysis: NT-proBNP (OR 1.406; 95% CI 1.015-1.949; p = 0.04), CRP (OR 1.523; 95% CI 1.171-1.980; p = 0.001), EuroSCORE II (OR 1.090; 95% CI 1.014-1.172; p = 0.01), age (OR 1.037; 95% CI 1.001-1.075; p = 0.04) and if they stayed in the intensive care unit longer than 2 days (OR 9.077; 95% CI 2.026-40.663; p = 0.004) remained the independent predictors of the primary endpoint. The mean preoperative NT-proBNP level was 2063 pg/mL (±1751). Thirty-eight patients with AKI requiring renal replacement therapy died in intrahospital follow-up. Conclusions: The results of the presented study indicate that a high preoperative level of NT-proBNP and postoperative hemodynamic instability may be associated with a significant risk of a postoperative AKI requiring renal replacement therapy. The results of the study may also suggest that qualifying for heart valve surgery earlier may be associated with improved prognosis in this group of patients.
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Affiliation(s)
- Piotr Duchnowski
- Ambulatory Care Unit, Cardinal Wyszynski National Institute of Cardiology, Alpejska 42, 04-628 Warsaw, Poland
- Cardinal Wyszynski National Institute of Cardiology, 04-628 Warsaw, Poland
| | - Witold Śmigielski
- Cardinal Wyszynski National Institute of Cardiology, 04-628 Warsaw, Poland
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10
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de la Torre Hernandez JM, Veiga Fernandez G, Ben-Assa E, Iribarren J, Sainz Laso F, Lee DH, Ruisanchez Villar C, Lerena P, Garcia Camarero T, Iribarren Sarrias JL, Cuesta Cosgaya JM, Maza Fernandez ME, Garilleti C, Fradejas-Sastre V, Benito M, Barrera S, Gil Ongay A, Vazquez de Prada JA, Zueco J. First description and validation of a new method for estimating aortic stenosis burden and predicting the functional response to TAVI. Front Cardiovasc Med 2023; 10:1215826. [PMID: 38034386 PMCID: PMC10682652 DOI: 10.3389/fcvm.2023.1215826] [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: 05/02/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023] Open
Abstract
Background Up to one-fifth of patients continue to have poor quality of life after transcatheter aortic valve implantation (TAVI), with an additional similar proportion not surviving 1 year after the procedure. We aimed to assess the value of a new method based on an integrated analysis of left ventricular outflow tract flow velocity and aortic pressure to predict objective functional improvement and prognosis after TAVI. Methods In a cohort of consecutive patients undergoing TAVI, flow velocity-pressure integrated analysis was obtained from simultaneous pressure recordings in the ascending aorta and flow velocity recordings in the left ventricular outflow tract by echocardiography. Objective functional improvement 6 months after TAVI was assessed through changes in a 6-min walk test and NT-proBNP levels. A clinical follow-up was conducted at 2 years. Results Of the 102 patients studied, 82 (80.4%) showed objective functional improvement. The 2-year mortality of these patients was significantly lower (9% vs. 44%, p = 0.001). In multivariate analysis, parameter "(Pressure at Vmax - Pressure at Vo)/Vmax" was found to be an independent predictor for objective improvement. The C-statistic was 0.70 in the overall population and 0.78 in the low-gradient subgroup. All echocardiographic parameters and the valvuloarterial impedance showed a C-statistic of <0.6 for the overall and low-gradient patients. In a validation cohort of 119 patients, the C-statistic was 0.67 for the total cohort and 0.76 for the low-gradient subgroup. Conclusion This new method allows predicting objective functional improvement after TAVI more precisely than the conventional parameters used to assess the severity of aortic stenosis, particularly in low-gradient patients.
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Affiliation(s)
- Jose M. de la Torre Hernandez
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
- Department of Cardiology, Medical School, University of Cantabria, Santander, Spain
| | | | - Eyal Ben-Assa
- Cardiology Division, Assuta Ashdod University Hospital, Ben Gurion University, Ashdod, Israel
| | - Julia Iribarren
- School of Mathematics, Universidad de la Laguna, San Cristobal de la Laguna, Spain
| | - Fermin Sainz Laso
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Dae-Hyun Lee
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | | | - Piedad Lerena
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Tamara Garcia Camarero
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | | | - Jose M. Cuesta Cosgaya
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Maria E. Maza Fernandez
- Hydrodynamics and Coastal Infrastructures Group of IH Cantabria, Instituto de Hidraulica Ambiental, Universidad de Cantabria, Santander, Spain
| | - Celia Garilleti
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Victor Fradejas-Sastre
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Mercedes Benito
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Sergio Barrera
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Aritz Gil Ongay
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
| | - Jose A. Vazquez de Prada
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
- Department of Cardiology, Medical School, University of Cantabria, Santander, Spain
| | - Javier Zueco
- Cardiology Division, Hospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain
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11
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Holste G, Oikonomou EK, Mortazavi BJ, Coppi A, Faridi KF, Miller EJ, Forrest JK, McNamara RL, Ohno-Machado L, Yuan N, Gupta A, Ouyang D, Krumholz HM, Wang Z, Khera R. Severe aortic stenosis detection by deep learning applied to echocardiography. Eur Heart J 2023; 44:4592-4604. [PMID: 37611002 PMCID: PMC11004929 DOI: 10.1093/eurheartj/ehad456] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 06/21/2023] [Accepted: 07/11/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND AND AIMS Early diagnosis of aortic stenosis (AS) is critical to prevent morbidity and mortality but requires skilled examination with Doppler imaging. This study reports the development and validation of a novel deep learning model that relies on two-dimensional (2D) parasternal long axis videos from transthoracic echocardiography without Doppler imaging to identify severe AS, suitable for point-of-care ultrasonography. METHODS AND RESULTS In a training set of 5257 studies (17 570 videos) from 2016 to 2020 [Yale-New Haven Hospital (YNHH), Connecticut], an ensemble of three-dimensional convolutional neural networks was developed to detect severe AS, leveraging self-supervised contrastive pretraining for label-efficient model development. This deep learning model was validated in a temporally distinct set of 2040 consecutive studies from 2021 from YNHH as well as two geographically distinct cohorts of 4226 and 3072 studies, from California and other hospitals in New England, respectively. The deep learning model achieved an area under the receiver operating characteristic curve (AUROC) of 0.978 (95% CI: 0.966, 0.988) for detecting severe AS in the temporally distinct test set, maintaining its diagnostic performance in geographically distinct cohorts [0.952 AUROC (95% CI: 0.941, 0.963) in California and 0.942 AUROC (95% CI: 0.909, 0.966) in New England]. The model was interpretable with saliency maps identifying the aortic valve, mitral annulus, and left atrium as the predictive regions. Among non-severe AS cases, predicted probabilities were associated with worse quantitative metrics of AS suggesting an association with various stages of AS severity. CONCLUSION This study developed and externally validated an automated approach for severe AS detection using single-view 2D echocardiography, with potential utility for point-of-care screening.
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Affiliation(s)
- Gregory Holste
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
| | - Evangelos K Oikonomou
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
| | - Bobak J Mortazavi
- Department of Computer Science & Engineering, Texas A&M University, College Station, TX, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 Church St 5th Floor, New Haven, CT, USA
| | - Andreas Coppi
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 Church St 5th Floor, New Haven, CT, USA
| | - Kamil F Faridi
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
| | - Edward J Miller
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
| | - John K Forrest
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
| | - Robert L McNamara
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
| | - Lucila Ohno-Machado
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA
| | - Neal Yuan
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Division of Cardiology, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Aakriti Gupta
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - David Ouyang
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Division of Artificial Intelligence in Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Harlan M Krumholz
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 Church St 5th Floor, New Haven, CT, USA
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
| | - Zhangyang Wang
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA
| | - Rohan Khera
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520-8056, USA
- Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, 195 Church St 5th Floor, New Haven, CT, USA
- Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA
- Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, 60 College St, New Haven, CT, USA
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12
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Duchnowski P, Śmigielski W. Risk Factors of Postoperative Hospital-Acquired Pneumonia in Patients Undergoing Cardiac Surgery. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1993. [PMID: 38004042 PMCID: PMC10672909 DOI: 10.3390/medicina59111993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 10/24/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023]
Abstract
Background and Objectives. Hospital-acquired pneumonia is one of the complications that may occur in the postoperative period in patients undergoing heart valve surgery, which may result in prolonged hospitalization, development of respiratory failure requiring mechanical ventilation or even death. This study investigated the preoperative risk factors of postoperative pneumonia after heart valve surgery. Materials and Methods: This was a prospective study in a group of consecutive patients with hemodynamically significant valvular heart disease undergoing valve surgery. The primary endpoint at the in-hospital follow-up was hospital-acquired pneumonia after heart valve surgery. Logistic regression analysis was used to assess which variables were predictive of the primary endpoint, and odds ratios (ORdis) were calculated with a 95% confidence interval (CI). Multivariate analysis was based on the results of single-factor logistic regression, i.e., in further steps all statistically significant variables were taken into consideration. Results: The present study included 505 patients. Postoperative pneumonia occurred in 23 patients. The mean time to diagnosis of pneumonia was approximately 3 days after heart valve surgery (±2 days). In multivariate analysis, preoperative level of high-sensitivity Troponin T (hs-TnT) (OR 2.086; 95% CI 1.211-3.593; p = 0.008) and right ventricular systolic pressure (RVSP) (OR 1.043; 95% CI 1.018-1.067; p 0.004) remained independent predictors of the postoperative pneumonia. Of the patients with postoperative pneumonia, 3 patients died due to the development of multiple organ dysfunction syndrome (MODS). Conclusions: Preoperative determination of serum hs-TnT concentration and echocardiographic measurement of the RVSP parameter may be useful in predicting postoperative pneumonia in patients undergoing heart valve surgery.
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Affiliation(s)
- Piotr Duchnowski
- Ambulatory Care Unit, Cardinal Wyszynski National Institute of Cardiology, 04-628 Warsaw, Poland
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13
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Mills RM. Warfarin and Aspirin or Aspirin Alone After Transcatheter Aortic Valve Replacement? "No" to Warfarin. Am J Cardiol 2023; 206:334-335. [PMID: 37739910 DOI: 10.1016/j.amjcard.2023.08.180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/24/2023]
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14
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Iung B, Pierard L, Magne J, Messika-Zeitoun D, Pibarot P, Baumgartner H. Great debate: all patients with asymptomatic severe aortic stenosis need valve replacement. Eur Heart J 2023; 44:3136-3148. [PMID: 37503668 DOI: 10.1093/eurheartj/ehad355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/29/2023] Open
Affiliation(s)
- Bernard Iung
- Cardiology Department, Bichat Hospital, APHP, Université Paris Cité, 46 rue Henri Huchard, 75018 Paris, France
| | - Luc Pierard
- Department of Cardiology, University of Liege, Avenue de l´Hopital, 11, B-4000 Liege, Belgium
| | - Julien Magne
- Inserm U1094, IRD U270, University Limoges, CHU Limoges, EpiMaCT-Epidemiology of chronic diseases in tropical zone, Institute of Epidemiology and Tropical Neurology, Omega Health, 2 rue du Dr Marcland, 87025 Limoges, France
- CHU Limoges, Centre of Research and Clinical Data, 2 rue Martin Luther King, 87402 Limoges, France
| | - David Messika-Zeitoun
- Division of Cardiology, University of Ottawa Heart Institute, 40, Rue Ruskin Street, Ottawa, Ontario K1Y 4W7, Canada
| | - Philippe Pibarot
- Department of Cardiology, Institut Universitaire de Cardiologie et de Pneumologie de Québec/Québec Heart & Lung Institute, Laval University, 2725, Chemin Saite-Foy, Quebec City, Quebec G1V 4G5, Canada
| | - Helmut Baumgartner
- Department of Cardiology III-Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149 Muenster, Germany
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15
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Rudolph T, Appleby C, Delgado V, Eltchaninoff H, Gebhard C, Hengstenberg C, Wojakowski W, Petersen N, Kurucova J, Bramlage P, Bleiziffer S. Patterns of Aortic Valve Replacement in Europe: Adoption by Age. Cardiology 2023; 148:547-555. [PMID: 37586346 DOI: 10.1159/000533633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/10/2023] [Indexed: 08/18/2023]
Abstract
INTRODUCTION The management of patients with severe aortic stenosis may differ according to patients' age. The aim of this analysis was to describe patterns of aortic valve replacement (AVR) use in European countries stratified by age. METHODS Procedure volume data for AVR, including surgical aortic valve replacement (sAVR) and transcatheter aortic valve implantation (TAVI), for the years 2015-2020 were obtained from national databases for twelve European countries (Austria, the Czech Republic, Denmark, England, Finland, France, Germany, Norway, Poland, Spain, Sweden, and Switzerland). Procedure volumes were reported by patient age (<50 years, 5-year age groups between 50 and 85 years, and ≥85 years). Patients per million (PPM) population undergoing AVR each year were calculated using population estimates from Eurostat. RESULTS AVR PPM varied widely between countries, from 508 PPM in Germany to 174 PPM in Poland in 2020. TAVI rates ranged from 61% in Switzerland and Finland to 25% in Poland. AVR PPM increased with age to a peak at 80-84 years, after which it decreased again. AVR procedures increased from 2015 to 2019 at an average annual rate of 3.9%. AVR increased more substantially in people aged ≥80 years than in younger age groups; these older age groups accounted for 30% of all AVR procedures in 2015 and 35% in 2019. TAVI accounted for an increasing proportion of all AVR procedures as patient age increased; an overall average of 96% of males and 98% of females aged ≥85 years received TAVI as the treatment modality, although adoption of TAVI differed between countries. CONCLUSIONS There is considerable variation in the rates of AVR use and the adoption of TAVI versus sAVR between European countries. The use of TAVI has increased in recent years, particularly for older patients.
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Affiliation(s)
- Tanja Rudolph
- General and Interventional Cardiology/Angiology, Heart and Diabetes Centre Nord Rhine-Westphalia, University Hospital of the Ruhr University Bochum, Bad Oeynhausen, Germany
| | - Clare Appleby
- Cardiology, Liverpool Heart and Chest Hospital, Liverpool, UK
| | - Victoria Delgado
- Heart Institute, Department of Cardiology, Hospital University Germans Trias I Pujol Barcelona, Badalona, Spain
| | - Helene Eltchaninoff
- Department of Cardiology, Normandie University, UNIROUEN, U1096, CHU Rouen, Rouen, France
| | - Catherine Gebhard
- Department of Cardiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christian Hengstenberg
- Division of Cardiology, Department of Medicine II, Medical University of Vienna, Vienna, Austria
| | - Wojtek Wojakowski
- Division of Cardiology and Structural Heart Diseases, Medical University of Silesia in Katowice, Katowice, Poland
| | | | - Jana Kurucova
- Medical Affairs, Edwards Lifesciences, Prague, Czechia
| | - Peter Bramlage
- Institute for Pharmacology und Preventive Medicine, Cloppenburg, Germany,
| | - Sabine Bleiziffer
- Department of Thoracic and Cardiovascular Surgery, Heart and Diabetes Center North Rhine-Westphalia, University Hospital, Ruhr-University Bochum, Bad Oeynhausen, Germany
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16
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Gracia Baena JM, Marsal Mora JR, Llorca Cardeñosa S, Calaf Vall I, Zielonka M, Godoy P. Impact of severe aortic stenosis on quality of life. PLoS One 2023; 18:e0287508. [PMID: 37343035 DOI: 10.1371/journal.pone.0287508] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 05/30/2023] [Indexed: 06/23/2023] Open
Abstract
INTRODUCTION Among individuals ≥ 65 years old, aortic stenosis is highly prevalent and the number of cases is expected to increase in the coming decades, due to the increased life expectancy. Nevertheless, the actual aortic stenosis burden is not well known in population settings and the impact of aortic stenosis on quality of life has not been studied. The aim of this study was to evaluate aortic stenosis impact on health-related quality of life in patients > 65 years old. METHODS An epidemiological case-control study was carried out to compare quality of life in patients ≥65 years old with severe symptomatic aortic stenosis. Demographical and clinical information was prospectively obtained and quality of life information was collected with the Short Form Health Survey_v2 (SF-12) questionnaire. The association between quality of life and aortic stenosis was determined using multiple logistic regression models. RESULTS Patients with severe aortic stenosis self-perceived worse quality of life on all dimensions and summary components of the SF-12 questionnaire. In the final multiple logistic regression model a significant inverse association was observed between the dimensions 'physical role' and 'social role' (p = 0.002 and p = 0.005) and an association close to significance with 'physical role' (p = 0.052) of the SF-12 questionnaire. CONCLUSION The use of quality of life scales allows the assessment of the impact of aortic stenosis on quality of life and may improve the therapeutic approach to severe aortic stenosis, providing evidence for patient-centered care.
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Affiliation(s)
- Juan Manuel Gracia Baena
- Cardiac Surgery Department, Vall d'Hebron University Hospital, Barcelona, Spain
- Applied Epidemiology Unit, Department of Medicine and Surgery, University of Lleida, Lleida, Spain
| | - Josep Ramon Marsal Mora
- Lleida Research Support Unit, Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Sara Llorca Cardeñosa
- Applied Epidemiology Unit, Department of Medicine and Surgery, University of Lleida, Lleida, Spain
| | - Imma Calaf Vall
- Applied Epidemiology Unit, Department of Medicine and Surgery, University of Lleida, Lleida, Spain
| | - Marta Zielonka
- Applied Epidemiology Unit, Department of Medicine and Surgery, University of Lleida, Lleida, Spain
| | - Pere Godoy
- Applied Epidemiology Unit, Department of Medicine and Surgery, University of Lleida, Lleida, Spain
- CIBER Epidemiology and Public Health CIBERESP, Institute of Health Carlos III, Madrid, Spain
- Catalan Public Health Agency (ASPCAT), Barcelona, Spain
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Moral S, Abulí M, Méndez I, González-Gómez A, García-Quintana A, Menduiña I, Payá R, Esteban E, Sánchez PL, Díaz E, de la Morena G, Calvo-Iglesias F, Gallego P, Ballesteros E, Brugada R, Evangelista A. Invasive management of significant tricuspid regurgitation in clinical practice. Int J Cardiol 2023; 375:66-73. [PMID: 36642332 DOI: 10.1016/j.ijcard.2023.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/14/2022] [Accepted: 01/08/2023] [Indexed: 01/13/2023]
Abstract
BACKGROUND Tricuspid regurgitation (TR) is a prevalent condition inside valvular heart disease (VHD) with relevant prognosis implications. However, concordance between real management in clinical practice and invasive treatment recommendations of European Society of Cardiology (ESC) guidelines is unknown. METHODS A substudy of ESC VHD II survey was performed to evaluate the real treatment of TR compared to the clinical ESC guidelines recommendations published in 2012, 2017 and 2021 was performed. TR cases with surgical indication were divided in 3 groups: 1: severe isolated TR without previous left VHD; 2: moderate/severe TR and concomitant severe left VHD; 3: severe TR plus previous left VHD surgery. RESULTS Of 902 patients assessed, 123 had significant TR. Fifty (41%) cases demonstrated ESC guidelines 2012-2017 Class I or IIa recommendations for invasive treatment: 9(18%) of group 1, 37(74%) of group 2 and 4(8%) of group 3. Surgery was performed in 24 patients (48%); 1 in group 1(4%), 22 in group 2(92%) and 1 in group 3(4%). Overall concordance was 48% (group 1: 11%; group 2: 59%; group 3: 25%). Regarding the 2021 ESC guidelines only one patient changed groups with an overall concordance of 47% (group 1: 10%; group 2: 59%; group 3: 25%). CONCLUSION Concordance between 2012, 2017 and 2021 ESC guidelines recommendations and clinical practice for TR surgical intervention is low, especially in those without concomitant severe left VHD. These results suggest the need to improve further guideline implementation and alternative treatments, such as percutaneous, which could resolve potential discrepancies in those clinical scenarios.
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Affiliation(s)
- Sergio Moral
- Hospital Universitari Doctor Josep Trueta, Girona, Spain; Department of Medical Sciences, Universitat de Girona, Girona, Spain.
| | - Marc Abulí
- Hospital Universitari Doctor Josep Trueta, Girona, Spain; Department of Medical Sciences, Universitat de Girona, Girona, Spain
| | | | | | | | - Irene Menduiña
- Hospital Universitari de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Rafael Payá
- Hospital General Universitario de Valencia, Valencia, Spain
| | | | - Pedro Luis Sánchez
- Complejo Asistencial Universitario de Salamanca, CAUSA, Salamanca, Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Elena Díaz
- Complejo Asistencial Universitario de Salamanca, CAUSA, Salamanca, Spain; Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | | | | | - Pastora Gallego
- Hospital Universitario Virgen del Rocío, Sevilla, Spain; European Reference Network for Rare, Low Prevalence and Complex Diseases of the Heart-ERN GUARD Heart, Spain
| | - Esther Ballesteros
- Dirección Territorial de Radiologia i Medicina Nuclear de Girona. IDI. IDIBGI, Girona, Spain
| | - Ramon Brugada
- Hospital Universitari Doctor Josep Trueta, Girona, Spain; Department of Medical Sciences, Universitat de Girona, Girona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain; Cardiovascular Genetics Center, Biomedical Research Institute of Girona, Salt, Spain
| | - Arturo Evangelista
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain; Hospital General Universitari Vall d´Hebron, Barcelona, Spain
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Kovács A, Tokodi M. Refining Echocardiographic Surveillance of Aortic Stenosis Using Machine Learning: Toward Personalized and Sustainable Follow-Up Schemes. JACC Cardiovasc Imaging 2023:S1936-878X(23)00092-X. [PMID: 37038877 DOI: 10.1016/j.jcmg.2023.01.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 04/12/2023]
Affiliation(s)
- Attila Kovács
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
| | - Márton Tokodi
- Heart and Vascular Center, Semmelweis University, Budapest, Hungary; Division of Cardiovascular Diseases and Hypertension, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
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19
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de la Torre Hernandez JM, Veiga Fernandez G, Ben-Assa E, Sainz Laso F, Lee DH, Ruisanchez Villar C, Lerena P, Garcia Camarero T, Cuesta Cosgaya JM, Fradejas-Sastre V, Benito M, Barrera S, Garcia-Unzueta MT, Brown J, Gil Ongay A, Zueco J, Vazquez de Prada JA, Edelman ER. A new integrative approach to assess aortic stenosis burden and predict objective functional improvement after TAVR. Front Cardiovasc Med 2023; 10:1118409. [PMID: 36937938 PMCID: PMC10017439 DOI: 10.3389/fcvm.2023.1118409] [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: 12/07/2022] [Accepted: 01/30/2023] [Indexed: 03/06/2023] Open
Abstract
Background A non-negligible rate of patients undergoing transcatheter aortic valve replacement (TAVR) do not report symptomatic improvement or even die in the short-midterm. We sought to assess the degree of objective functional recovery after TAVR and its prognostic implications and to develop a predictive model. Methods In a cohort of patients undergoing TAVR, a prospective evaluation of clinical, anatomical, and physiological parameters was conducted before and after the procedure. These parameters were derived from echocardiography, non-invasive analysis of arterial pulse waves, and cardiac tomography. Objective functional improvement 6 months after TAVR was assessed using a 6-min walk test and nitro-terminal pro-brain natriuretic peptide (NT-proBNP) levels. The derived predictive model was prospectively validated in a different cohort. A clinical follow-up was conducted at 2 years. Results Among the 212 patients included, objective functional improvement was observed in 169 patients (80%) and subjective improvement in 187 (88%). Patients with objective functional improvement showed a much lower death rate at 2 years (9% vs. 31% p = 0.0002). Independent predictors of improvement were as follows: mean aortic gradient of ≥40 mmHg, augmentation index75 of ≥45%, the posterior wall thickness of ≤12 mm, and absence of atrial fibrillation. A simple integer-based point score was developed (GAPA score), which showed an area under the curve of 0.81 for the overall cohort and 0.78 for the low-gradient subgroup. In a validation cohort of 216 patients, these values were 0.75 and 0.76, respectively. Conclusion A total of 80% of patients experienced objective functional improvement after TAVR, showing a significantly lower 2-year mortality rate. A predictive score was built that showed a good discriminative performance in overall and low-gradient populations.
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Affiliation(s)
- Jose M. de la Torre Hernandez
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
- Department of Cardiology, Medical School, University of Cantabria, Santander, Spain
- *Correspondence: Jose M. de la Torre Hernandez, ;
| | - Gabriela Veiga Fernandez
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Eyal Ben-Assa
- Division of Cardiology, Assuta Ashdod University Hospital, Ben-Gurion University of the Negev, Ashdod, Israel
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Fermin Sainz Laso
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Dae-Hyun Lee
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Cristina Ruisanchez Villar
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Piedad Lerena
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Tamara Garcia Camarero
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Jose M. Cuesta Cosgaya
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Victor Fradejas-Sastre
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Mercedes Benito
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Sergio Barrera
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Maria T. Garcia-Unzueta
- Análisis clínicos, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Jonathan Brown
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
- Cardiovascular Division, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, United States
| | - Aritz Gil Ongay
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Javier Zueco
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
| | - Jose A. Vazquez de Prada
- Division of Cardiology, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Valdecilla (IDIVAL), Santander, Spain
- Department of Cardiology, Medical School, University of Cantabria, Santander, Spain
| | - Elazer R. Edelman
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States
- Cardiovascular Division, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, United States
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20
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Carapinha JL, Iliescu VA, Dorobantu LF, Turcu-Stiolica A, Deckert J, White A, Salem A, Parasca C. Budget impact analysis of a bovine pericardial aortic bioprosthesis versus mechanical aortic valve replacement in adult patients with aortic stenosis in Romania. J Med Econ 2023; 26:998-1008. [PMID: 37505934 DOI: 10.1080/13696998.2023.2242188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/15/2023] [Accepted: 07/25/2023] [Indexed: 07/30/2023]
Abstract
AIMS An analysis of the budget impact of using a bovine pericardial aortic bioprosthesis (BPAB) or a mechanical valve (MV) in aortic stenosis (AS) patients in Romania. MATERIALS AND METHODS A decision-tree with a partitioned survival model was used to predict the financial outcomes of using either a BPAB (the Carpentier-Edwards Perimount Magna Ease Valve) or MV in aortic valve replacement (AVR) procedure over a 5-year period. The budget impact of various resource consumption including disabling strokes, reoperations, minor thromboembolic events, major bleeding, endocarditis, anticoagulation treatment and monitoring, and echocardiogram assessments were compared for both types of valves. One-way sensitivity analyses (OWSA) were conducted on the input costs and probabilities. RESULTS The use of BPAB compared to MV approaches budget neutrality due to incremental savings year-on-year. The initial surgical procedure and reoperation costs for BPAB are offset by savings in acenocoumarol use, disabling strokes, major bleeding, minor thromboembolic events, and anticoagulation complications. The cost of the initial procedure per patient is 460 euros higher for a BPAB due to the higher valve acquisition cost, although this is partially offset by a shorter hospital stay. The OWSA shows that the total procedure costs, including the hospital stay, are the primary cost drivers in the model. LIMITATIONS Results are limited by cost data aggregation in the DRG system, exclusion of costs for consumables and capital equipment use, possible underestimation of outpatient complication costs, age-related variations of event rates, and valve durability. CONCLUSIONS Adopting BPAB as a treatment option for AS patients in Romania can lead to cost savings and long-term economic benefits. By mitigating procedure costs and increasing anticoagulation treatment costs, BPAB offers a budget-neutral option that can help healthcare providers, policymakers, and patients alike manage the growing burden of AS in Romania.
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Affiliation(s)
- João L Carapinha
- Northeastern University School of Pharmacy, Boston, United States of America
- Syenza, Anaheim, United States of America
| | - Vlad A Iliescu
- University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania
| | | | | | | | | | - Adham Salem
- Edwards Lifesciences, Dubai, United Arab Emirates
| | - Catalina Parasca
- "Prof. Dr. C.C. Iliescu" Institute for Cardiovascular Diseases, Bucharest, Romania
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21
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Duchnowski P. The Role of the N-Terminal of the Prohormone Brain Natriuretic Peptide in Predicting Postoperative Multiple Organ Dysfunction Syndrome. J Clin Med 2022; 11:jcm11237217. [PMID: 36498791 PMCID: PMC9740192 DOI: 10.3390/jcm11237217] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/30/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Multiple organ dysfunction syndrome (MODS) is the progressive and potentially reversible dysfunction of at least two organ systems in the course of an acute and life-threatening disorder of systemic homeostasis. MODS is a serious post-cardiac-surgery complication in valvular heart disease that is associated with a high risk of death. This study assessed the predictive ability of selected preoperative and perioperative parameters for the occurrence of MODS in the early postoperative period in a group of patients with severe valvular heart disease. METHODS Subsequent patients with significant symptomatic valvular heart disease who underwent cardiac surgery were recruited in the study. The main end-point was postoperative MODS, defined as a dysfunction of at least two organs-perioperative stroke, heart failure requiring mechanical circulatory support, respiratory failure requiring mechanical ventilation, and postoperative acute kidney injury requiring renal replacement therapy. A logistic regression was used to assess relationships between variables. RESULTS There were 602 patients recruited for this study. The main end-point occurred in 40 patients. Preoperative NT-proBNP (OR 1.026; 95% CI 1.012-1.041; p = 0.001) and hemoglobin (OR 0.653; 95% CI 0.503-0.847; p = 0.003) are independent predictors of the primary end-point in a multivariate regression analysis. The cut-off point for the NT-proBNP value for postoperative MODS was calculated at 1300 pg/mL. CONCLUSIONS A high preoperative level of NTpro-BNP may be associated with the onset of MODS in the early postoperative period. The results of the study may also suggest that earlier cardiac surgery for significant valvular heart disease may be associated with an improved prognosis in this group of patients.
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Affiliation(s)
- Piotr Duchnowski
- Cardinal Wyszynski National Institute of Cardiology, 04-628 Warsaw, Poland
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22
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N-Terminal of the Prohormone Brain Natriuretic Peptide Predicts Postoperative Cardiogenic Shock Requiring Extracorporeal Membrane Oxygenation. J Clin Med 2022; 11:jcm11195493. [PMID: 36233362 PMCID: PMC9570867 DOI: 10.3390/jcm11195493] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/10/2022] [Accepted: 09/15/2022] [Indexed: 11/17/2022] Open
Abstract
Aims: Heart valve surgery is associated with a risk of serious postoperative complications including postoperative cardiogenic shock (described as postcardiotomy shock (PCS)). The indication for extracorporeal membrane oxygenation (ECMO) is cardiogenic shock, which is resistant to optimal causal and pharmacological treatment, including the supply of catecholamines and/or an intra-aortic balloon pump (IABP). The aim of this study was to assess the usefulness of the selected preoperative biomarkers in the prediction of postoperative cardiogenic shock requiring ECMO in patients undergoing heart valve surgery. Methods: A prospective study was conducted on a group of consecutive patients with significant valvular heart disease that underwent elective valve surgery. The primary endpoint at the intra-hospital follow-up was postoperative cardiogenic shock requiring ECMO. Univariate analysis, followed by multivariate regression analysis, were performed. Results: The study included 610 patients. The primary endpoint occurred in 15 patients. At multivariate analysis, the preoperative N-terminal of the prohormone brain natriuretic peptide (NT-proBNP) level (OR 1.022; 95% CI 1.011–1.034; p = 0.001) remained an independent predictor of the primary endpoint. Conclusions: An elevated NT-proBNP level was associated with a higher risk of postoperative cardiogenic shock requiring the use of ECMO.
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23
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Col NF, Otero D, Lindman BR, Horne A, Levack MM, Ngo L, Goodloe K, Strong S, Kaplan E, Beaudry M, Coylewright M. What matters most to patients with severe aortic stenosis when choosing treatment? Framing the conversation for shared decision making. PLoS One 2022; 17:e0270209. [PMID: 35951553 PMCID: PMC9371337 DOI: 10.1371/journal.pone.0270209] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 06/06/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Guidelines recommend including the patient’s values and preferences when choosing treatment for severe aortic stenosis (sAS). However, little is known about what matters most to patients as they develop treatment preferences. Our objective was to identify, prioritize, and organize patient-reported goals and features of treatment for sAS.
Methods
This multi-center mixed-methods study conducted structured focus groups using the nominal group technique to identify patients’ most important treatment goals and features. Patients separately rated and grouped those items using card sorting techniques. Multidimensional scaling and hierarchical cluster analyses generated a cognitive map and clusters.
Results
51 adults with sAS and 3 caregivers with experience choosing treatment (age 36–92 years) were included. Participants were referred from multiple health centers across the U.S. and online. Eight nominal group meetings generated 32 unique treatment goals and 46 treatment features, which were grouped into 10 clusters of goals and 11 clusters of features. The most important clusters were: 1) trust in the healthcare team, 2) having good information about options, and 3) long-term outlook. Other clusters addressed the need for and urgency of treatment, being independent and active, overall health, quality of life, family and friends, recovery, homecare, and the process of decision-making.
Conclusions
These patient-reported items addressed the impact of the treatment decision on the lives of patients and their families from the time of decision-making through recovery, homecare, and beyond. Many attributes had not been previously reported for sAS. The goals and features that patients’ value, and the relative importance that they attach to them, differ from those reported in clinical trials and vary substantially from one individual to another. These findings are being used to design a shared decision-making tool to help patients and their clinicians choose a treatment that aligns with the patients’ priorities.
Trial registration
ClinicalTrials.gov, Trial ID: NCT04755426, Trial URL https://clinicaltrials.gov/ct2/show/NCT04755426.
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Affiliation(s)
- Nananda F. Col
- Shared Decision Making Resources, Georgetown, ME and University of New England, Biddeford, Maine, United States of America
- * E-mail:
| | - Diana Otero
- Department of Cardiovascular Medicine, University of Louisville School of Medicine, Louisville, Kentucky, United States of America
| | - Brian R. Lindman
- Structural Heart and Valve Center, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Aaron Horne
- HeartCare Specialists, Medical City North Hills, North Richland Hills, Texas, United States of America
| | - Melissa M. Levack
- Department of Cardiac Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Long Ngo
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kimberly Goodloe
- American Heart Association Ambassador, Atlanta, Georgia, United States of America
| | - Susan Strong
- Heart Valve Voice US, Washington DC, United States of America
| | - Elvin Kaplan
- Patient Collaborator, Brownsville, Vermont, United States of America
| | - Melissa Beaudry
- Central Vermont Medical Center, Berlin, Vermont, United States of America
| | - Megan Coylewright
- Department of Cardiovascular Medicine, The Erlanger Heart and Lung Institute, Chattanooga, Tennessee, United States of America
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24
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Otto CM, Song JK. Treatment of Aortic Stenosis With Transcatheter Aortic Valve Implantation. JAMA 2022; 327:1870-1871. [PMID: 35579656 DOI: 10.1001/jama.2022.5424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Catherine M Otto
- Division of Cardiology, University of Washington School of Medicine, Seattle
| | - Jae-Kwan Song
- Division of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
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25
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Eitan A, Sliman H, Shiran A, Jaffe R. Strategies for Facilitating Totally Percutaneous Transfemoral TAVR Procedures. J Clin Med 2022; 11:2104. [PMID: 35456197 PMCID: PMC9028438 DOI: 10.3390/jcm11082104] [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: 02/28/2022] [Revised: 04/05/2022] [Accepted: 04/05/2022] [Indexed: 02/01/2023] Open
Abstract
Transcatheter aortic valve replacement (TAVR) has transformed the treatment of aortic stenosis and should ideally be performed as a totally percutaneous procedure via the transfemoral (TF) approach. Peripheral vascular disease may impede valve delivery, and vascular access site complications are associated with adverse clinical outcome and increased mortality. We review strategies aimed to facilitate TF valve delivery in patients with hostile vascular anatomy and achieve percutaneous management of vascular complications.
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Affiliation(s)
| | | | | | - Ronen Jaffe
- Department of Cardiology, Carmel Medical Center, Haifa 3436212, Israel; (A.E.); (H.S.); (A.S.)
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26
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OUP accepted manuscript. Eur Heart J 2022; 0:6523313. [DOI: 10.1093/eurheartj/ehac039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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27
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O'Gara PT, Sun YP, Patel SM. Referral for Intervention in Severe Symptomatic Aortic Stenosis: Some Progress But Further Room for Improvement. J Am Coll Cardiol 2021; 78:2144-2146. [PMID: 34823656 DOI: 10.1016/j.jacc.2021.09.865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 10/19/2022]
Affiliation(s)
- Patrick T O'Gara
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
| | - Yee-Ping Sun
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Siddharth M Patel
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA. https://twitter.com/SidPatelMD
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