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Sharma R, Hansen S, Merkler AE, Lima JAC, Longstreth WT. Left Ventricular Injury Detected by Cardiac MRI and Incident Ischemic Stroke and Dementia Risk: The Multi-Ethnic Study of Atherosclerosis. Neurology 2025; 104:e213606. [PMID: 40249894 PMCID: PMC12012626 DOI: 10.1212/wnl.0000000000213606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Accepted: 02/26/2025] [Indexed: 04/20/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Left ventricular injury (LVI) can be detected by cardiac magnetic resonance (CMR) imaging with high sensitivity; however, the implication of these findings on brain health longitudinally is uncertain. We aimed to evaluate the association between LVI biomarkers detected by CMR and the risk of developing ischemic stroke and dementia. METHODS We analyzed the prospective, observational cohort of participants in the Multi-Ethnic Study of Atherosclerosis (MESA) study (median follow-up of 8.7 years). MESA is a population-based cohort recruited from 6 communities. The complete case analysis (CCA) sample included stroke-free participants who underwent CMR at Exam 5 (2010-2012). The multiple imputation (MI) sample consisted of stroke-free participants at Exam 5, irrespective of CMR collection. Missing CMR variables were imputed because of the nonrandom missingness of CMR data. The primary exposure was LVI defined by LV ejection fraction < 50% or circumferential strain ≥ -10 in any LV apical wall. Secondary exposures were left ventricular ejection fraction (LVEF) and strain as continuous measures. Primary outcomes were (1) incident ischemic stroke and (2) newly diagnosed all-cause dementia. Cox proportional hazard models were adjusted for demographic and clinical covariates. RESULTS There were 2,584 (11.7% with LVI [mean age 71, 65% male], 88.3% without LVI [mean age 69, 44% male]) and 4,594 participants in the CCA and MI cohorts, respectively. Incident ischemic stroke occurred in 18 (6%) participants with and 65 (3%) without LVI in the CCA sample (302 or 12% with and 18 or 6% without LVI in the MI sample). Both groups had similar rates of cardiovascular disease (6% vs 4%, p = 0.143). LVI was significantly associated with incident ischemic stroke in the MI cohort (adjusted hazard ratio [HR] 1.82, 95% CI 1.08-3.09), but not in the CCA cohort. LV apical peak strain was significantly associated with newly diagnosed dementia only in the MI cohort (adjusted HR 1.06, 95% CI 1.01-1.12). LVEF per 10% was significantly associated with newly diagnosed dementia in both cohorts (adjusted HR in MI cohort 0.73, 95% 0.59-0.90). DISCUSSION CMR-detected LVI is associated with incident ischemic stroke and newly diagnosed dementia. Further studies are needed to validate CMR biomarkers of brain injury risk.
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Affiliation(s)
- Richa Sharma
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Spencer Hansen
- Department of Biostatistics, University of Washington, Seattle
| | | | - João A C Lima
- Department of Radiology, Johns Hopkins Hospital, Baltimore, MD; and
| | - Will T Longstreth
- Departments of Neurology and Epidemiology, University of Washington, Seattle
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Mehdizadegan N, Omidbakhsh S, Shorafa E, Hosseini H, Amoozgar H, Mohammadi H, Naghshzan A, Edraki M, Hozhabri K, Abootalebi N, Mohammadi MH. Speckle-tracking and conventional echocardiography in MIS-C: tracking cardiac involvement and recovery. BMC Pediatr 2025; 25:137. [PMID: 40001107 PMCID: PMC11853775 DOI: 10.1186/s12887-025-05509-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2024] [Accepted: 02/12/2025] [Indexed: 02/27/2025] Open
Abstract
BACKGROUND Multisystem inflammatory syndrome in children (MIS-C), a complication of COVID-19, is frequently associated with cardiac involvement. Although most affected children recover, the extent and duration of myocardial abnormalities remain uncertain. This study evaluates mid-term cardiac function in MIS-C patients, with and without cardiac involvement, using transthoracic echocardiography (TTE) and speckle-tracking echocardiography (STE). METHODS This case-control study (2022-2023) included 90 children: 30 with MIS-C and cardiac involvement, 30 with MIS-C without cardiac involvement, and 30 healthy controls. TTE and STE were used to assess left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS) at diagnosis and at three months, comparing outcomes across groups. RESULTS The cardiac involvement group exhibited significantly elevated ferritin and C-reactive protein levels (P = 0.006 and P = 0.017, respectively) and a higher prevalence of troponin positivity (56.67% vs. 20%, P = 0.009). At baseline, these patients had markedly reduced LVEF (56.5 ± 4.3) and GLS (-21.6 ± 3.21) compared to healthy controls (LVEF: 68.2 ± 5.21; GLS: -24.8 ± 1.48; both P < 0.001). Notably, the basal segment showed significant longitudinal strain reduction (-18.75 ± 3.89 vs. -23.58 ± 0.27, P = 0.027), while differences in the apical and mid segments were not significant. By three months, LVEF (69 ± 4.21, P = 0.53) and GLS (-24.13 ± 2.39, P = 0.17) normalized. Heart failure and coronary artery brightness resolved in all affected patients, and most structural abnormalities improved; only two cases exhibited persistent mild left ventricular dilation. Regional strain analysis at follow-up revealed values comparable to those of healthy controls across all segments. CONCLUSION Cardiac dysfunction in MIS-C largely resolves within three months, with LVEF and GLS returning to normal. However, persistent myocardial abnormalities in a few cases highlight the need for long-term cardiac monitoring to detect and manage potential sequelae.
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Affiliation(s)
- Nima Mehdizadegan
- Department of Pediatrics, Division of Pediatric Cardiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Cardiovascular Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sajedeh Omidbakhsh
- Clinical Department of Pediatrics, Amol Campus of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Eslam Shorafa
- Department of Pediatrics, Division of Intensive Care Unit, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Hossein Hosseini
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hamid Amoozgar
- Department of Pediatrics, Division of Pediatric Cardiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Cardiovascular Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hamid Mohammadi
- Department of Pediatrics, Division of Pediatric Cardiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Cardiovascular Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amir Naghshzan
- Department of Pediatrics, Division of Pediatric Cardiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Cardiovascular Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohammadreza Edraki
- Department of Pediatrics, Division of Pediatric Cardiology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
- Cardiovascular Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Katayoon Hozhabri
- Clinical Department of Pediatrics, Amol Campus of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Narjes Abootalebi
- Clinical Department of Pediatrics, Amol Campus of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
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3
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Gonçalves T, Garot J, Toupin S, Bousson V, Sanguineti F, Akodad M, Duhamel S, Champagne S, Neylon A, Unterseeh T, Hovasse T, Hamzi L, Unger A, Florence J, Mirailles R, Bondue A, Dillinger JG, Henry P, Garot P, Pezel T. Prognostic impact of late gadolinium enhancement granularity in non-ischemic dilated cardiomyopathy. Eur Radiol 2025:10.1007/s00330-025-11404-8. [PMID: 39920302 DOI: 10.1007/s00330-025-11404-8] [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: 09/24/2024] [Revised: 12/10/2024] [Accepted: 01/06/2025] [Indexed: 02/09/2025]
Abstract
OBJECTIVES We aimed to assess the additional prognostic value of the concept of "late gadolinium enhancement (LGE) granularity" in non-ischemic dilated cardiomyopathy (DCM) patients to predict all-cause death. METHODS Between 2008 and 2021, we conducted a bicentric retrospective study including all consecutive DCM patients referred for Cardiovascular Magnetic Resonance (CMR). The primary outcome was all-cause death. Cox regressions were performed to determine the prognostic value of LGE findings. RESULTS Of 1668 DCM patients recruited (age 52 ± 8 years, 54% male), 268 (16%) died after a median (interquartile range) follow-up of 9 (7-12) years. In DCM patients with LGE (N = 472), the LGE extent, the septal location, and its presence in multiple areas were independently associated with death after adjustment for all prognostic variables (adjusted hazard ratio (HR): 4.27, 95% CI: 2.22-8.22; HR: 5.74, 95% CI: 3.35-9.85; and HR: 4.38, 95% CI: 2.08-9.22 respectively; all p < 0.001). The LGE granularity model combining all these LGE features showed the best improvement in model discrimination and reclassification over traditional prognostic variables, including the left ventricular ejection fraction (LVEF) value (C-statistic improvement: 0.14; net reclassification improvement = 64.3%; integrative discrimination index = 29.0%; all p < 0.05). CONCLUSION In a large cohort of DCM patients, a LGE granularity model combining LGE extent, location and multiple areas had additional prognostic value above traditional prognostic variables including the LVEF value to predict all-cause death. KEY POINTS Question Assessment of late gadolinium enhancement (LGE) is recommended in non-ischemic dilated. cardiomyopathy (DCM) patients to stratify the risk of death, but other LGE characteristics are not currently considered. Findings The concept of "LGE granularity," including the extent, location, and number of areas, provides additional prognostic value, especially in predicting all-cause mortality. Clinical relevance "LGE granularity" could play a crucial role not only in guiding the decision to implant a defibrillator in DCM patients but also in providing more personalized management, such as enhanced cardioprotective treatments, for those with high-risk LGE characteristics.
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Affiliation(s)
- Trecy Gonçalves
- Université Paris Cité, Service de Cardiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- INSERM MASCOT-UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France
- Université Paris Cité, Service de Radiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- MIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory: Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Jérôme Garot
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France.
| | - Solenn Toupin
- Siemens Healthcare France, 93200, Saint-Denis, France
| | - Valérie Bousson
- Université Paris Cité, Service de Radiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
| | - Francesca Sanguineti
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Myriam Akodad
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Suzanne Duhamel
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Stéphane Champagne
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Antoinette Neylon
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Thierry Unterseeh
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Thomas Hovasse
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Lounis Hamzi
- Université Paris Cité, Service de Radiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
| | - Alexandre Unger
- Université Paris Cité, Service de Cardiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- INSERM MASCOT-UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France
- MIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory: Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
- Université Libre de Bruxelles (ULB), Départment de Cardiologie, CUB Hôpital Erasme, 1070, Bruxelles, Belgique
| | - Jeremy Florence
- Université Paris Cité, Service de Cardiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- INSERM MASCOT-UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France
- MIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory: Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France
| | - Raphael Mirailles
- Université Paris Cité, Service de Cardiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- INSERM MASCOT-UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France
- MIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory: Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France
| | - Antoine Bondue
- Université Libre de Bruxelles (ULB), Départment de Cardiologie, CUB Hôpital Erasme, 1070, Bruxelles, Belgique
| | - Jean Guillaume Dillinger
- Université Paris Cité, Service de Cardiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- INSERM MASCOT-UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France
- MIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory: Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France
| | - Patrick Henry
- Université Paris Cité, Service de Cardiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- INSERM MASCOT-UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France
- MIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory: Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France
| | - Philippe Garot
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
| | - Théo Pezel
- Université Paris Cité, Service de Cardiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- INSERM MASCOT-UMRS 942, University Hospital of Lariboisiere, 75010, Paris, France
- Université Paris Cité, Service de Radiologie, Hôpital Lariboisière-Assistance Publique des Hôpitaux de Paris (AP-HP), 75010, Paris, France
- MIRACL.ai Laboratory, Multimodality Imaging for Research and Analysis Core Laboratory: Artificial Intelligence, University Hospital of Lariboisiere (AP-HP), 75010, Paris, France
- Institut Cardiovasculaire Paris Sud, Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 91300, Massy, France
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Salatzki J, Ochs A, Weberling LD, Heins J, Zahlten M, Whayne JG, Stehning C, Giannitsis E, Denkinger CM, Merle U, Buss SJ, Steen H, André F, Frey N. Absence of cardiac impairment in patients after severe acute respiratory syndrome coronavirus type 2 infection: A long-term follow-up study. J Cardiovasc Magn Reson 2024; 26:101124. [PMID: 39549839 DOI: 10.1016/j.jocmr.2024.101124] [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: 05/11/2024] [Revised: 10/20/2024] [Accepted: 11/04/2024] [Indexed: 11/18/2024] Open
Abstract
BACKGROUND Concerns exist that long-term cardiac alterations occur after severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection, particularly in patients who were hospitalized in the acute phase or who remain symptomatic. This study investigates potential long-term functional and morphological alterations after SARS-CoV-2 infection. METHODS The authors of this study investigated patients after SARS-CoV-2 infection by using a mobile 1.5T clinical magnetic resonance scanner for cardiac alterations. Cardiac function and dimensions were assessed using a highly efficient cardiac magnetic resonance protocol, which included cine sequences, global longitudinal and circumferential strain assessed by fast-Strain-ENCoded imaging, and T1 and T2 mapping. We assessed symptoms through a questionnaire. Patients were compared with a control group matched for age, gender, body mass index, and body surface area. RESULTS Median follow-up time was 395 (192-408) days. The final population included 183 participants (age 48.4 ± 14.3 years, 48.1% male (88/183)). During the acute phase of SARS-CoV-2 infection, 27 patients were hospital-admitted. Forty-two patients reported persistent symptoms (shortness of breath, chest pain, palpitations, or leg edema), and 63 reported impaired exercise tolerance. Left ventricular (LV) functional and morphological parameters were within the normal range. T1- and T2-relaxation times were also within the normal range, indicating that the presence of myocardial edema or fibrosis was unlikely. Persistently symptomatic patients showed a slightly reduced indexed LV stroke volume. Functional parameters remained normal in patients who were hospitalized for SARS-CoV-2, persistently symptomatic, or with ongoing impaired exercise tolerance. CONCLUSION Irrespective of ongoing symptoms or severity of prior illness, patients who have recovered from SARS-CoV-2 infection demonstrate normal functional and morphological cardiac parameters. Long-term cardiac changes due to SARS-CoV-2 infection appear to be rare.
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Affiliation(s)
- Janek Salatzki
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Heidelberg, Heidelberg, Germany.
| | - Andreas Ochs
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Heidelberg, Heidelberg, Germany.
| | - Lukas D Weberling
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Heidelberg, Heidelberg, Germany.
| | - Jannick Heins
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany.
| | - Marc Zahlten
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany.
| | - James G Whayne
- Myocardial Solutions Inc., Morrisville, North Carolina, USA.
| | | | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Heidelberg, Heidelberg, Germany.
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine, University Hospital Heidelberg, Heidelberg, Germany; German Center of Infection Research, partner site Heidelberg, Heidelberg, Germany.
| | - Uta Merle
- Department of Gastroenterology, Infectious Diseases and Intoxication, University Hospital Heidelberg, Heidelberg, Germany.
| | | | - Henning Steen
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany; medneo, Hamburg, Germany.
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Heidelberg, Heidelberg, Germany.
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), partner site Heidelberg, Heidelberg, Germany.
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Subramanian V, Keshvani N, Segar MW, Kondamudi NJ, Chandra A, Maddineni B, Matulevicius SA, Michos ED, Lima JAC, Berry JD, Pandey A. Association of global longitudinal strain by feature tracking cardiac magnetic resonance imaging with adverse outcomes among community-dwelling adults without cardiovascular disease: The Dallas Heart Study. Eur J Heart Fail 2024; 26:208-215. [PMID: 38345558 DOI: 10.1002/ejhf.3158] [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: 09/14/2023] [Revised: 12/20/2023] [Accepted: 01/19/2024] [Indexed: 03/27/2024] Open
Abstract
AIM Left ventricular (LV) global longitudinal strain (GLS) may detect subtle abnormalities in myocardial contractility among individuals with normal LV ejection fraction (LVEF). However, the prognostic implications of GLS among healthy, community-dwelling adults is not well-established. METHODS AND RESULTS Overall, 2234 community-dwelling adults (56% women, 47% Black) with LVEF ≥50% without a history of cardiovascular disease (CVD) from the Dallas Heart Study who underwent cardiac magnetic resonance (CMR) with GLS assessed by feature tracking CMR (FT-CMR) were included. The association of GLS with the risk of incident major adverse cardiovascular events (MACE; composite of incident myocardial infarction, incident heart failure [HF], hospitalization for atrial fibrillation, coronary revascularization, and all-cause death), and incident HF or death were assessed with adjusted Cox proportional hazards models. A total of 309 participants (13.8%) had MACE during a median follow-up duration of 17 years. Participants with the worst GLS (Q4) were more likely male and of the Black race with a history of tobacco use and diabetes with lower LVEF, higher LV end-diastolic volume, and higher LV mass index. Cumulative incidence of MACE was higher among participants with worse (Q4 vs. Q1) GLS (20.4% vs. 9.0%). In multivariable-adjusted Cox models that included clinical characteristics, cardiac biomarkers and baseline LVEF, worse GLS (Q4 vs. Q1) was associated with a significantly higher risk of MACE (hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.07-2.24, p = 0.02) and incident HF or death (HR 1.57, 95% CI 1.03-2.38, p = 0.04). CONCLUSIONS Impaired LV GLS assessed by FT-CMR among adults free of cardiovascular disease is associated with a higher risk of incident MACE and incident HF or death independent of cardiovascular risk factors, cardiac biomarkers and LVEF.
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Affiliation(s)
- Vinayak Subramanian
- Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
- Parkland Health and Hospital System, Dallas, TX, USA
| | - Neil Keshvani
- Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
- Parkland Health and Hospital System, Dallas, TX, USA
| | - Matthew W Segar
- Division of Cardiology, Texas Heart Institute, Houston, TX, USA
| | - Nitin J Kondamudi
- Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
- Parkland Health and Hospital System, Dallas, TX, USA
| | - Alvin Chandra
- Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Bhumika Maddineni
- Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Susan A Matulevicius
- Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joao A C Lima
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jarett D Berry
- Department of Medicine, UT Health Science Center at Tyler, Tyler, TX, USA
| | - Ambarish Pandey
- Division of Cardiology, Department of Medicine, UT Southwestern Medical Center, Dallas, TX, USA
- Parkland Health and Hospital System, Dallas, TX, USA
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6
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Weberling LD, Albert D, Ochs A, Ochs M, Siry D, Salatzki J, Giannitsis E, Frey N, Riffel J, André F. Layer-specific fast strain-encoded cardiac magnetic resonance imaging aids in the identification and discrimination of acute myocardial injury: a prospective proof-of-concept study. J Cardiovasc Magn Reson 2024; 26:101001. [PMID: 38244931 PMCID: PMC11211227 DOI: 10.1016/j.jocmr.2024.101001] [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: 11/22/2023] [Accepted: 01/11/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Acute myocardial injury is a common diagnosis in the emergency department and differential diagnoses are numerous. Cardiac magnetic resonance (CMR) strain sequences, such as fast strain ENCoded (fSENC), are early predictors of myocardial function loss. This study assessed the potential diagnostic and prognostic benefits of a layer-specific approach. METHODS For this prospective study, patients in the emergency department fulfilling rule-in criteria for non-ST-elevation myocardial infarction (NSTEMI) received an ultra-fast fSENC CMR. Volunteers without cardiac diseases (controls) were recruited for comparison. Measurements were performed in a single heartbeat acquisition to measure global longitudinal strain (GLS) and segmental longitudinal strain and dysfunctional segments. The GLS was measured in two layers and a difference (GLSdifference = GLSepicardial - GLSendocardial) was calculated. The performance of those strain features was compared to standard care (physical examination, cardiac biomarkers, electrocardiogram). According to the final diagnosis after discharge, patients were divided into groups and followed up for 2 years. RESULTS A total of 114 participants, including 50 controls, were included. The 64 patients (51 male) were divided into a NSTEMI (25), myocarditis (16), and other myocardial injury group (23). GLS served as a potent predictor of myocardial injury (area under the curve (AUC) 91.8%). The GLSdifference provided an excellent diagnostic performance to identify a NSTEMI (AUC 83.2%), further improved by including dysfunctional segments (AUC 87.5%, p = 0.01). An optimal test was achieved by adding fSENC to standard care (AUC 95.5%, sensitivity 96.0%, specificity 86.5%, p = 0.03). No death occurred in 2 years for patients with normal GLS and ≤5 dysfunctional segments, while three patients died that showed abnormal GLS or >5 dysfunctional segments. CONCLUSIONS Layer-specific strain is a potential new marker with high diagnostic performance in the identification and differentiation of acute myocardial injuries.
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Affiliation(s)
- Lukas D Weberling
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany.
| | - David Albert
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas Ochs
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Marco Ochs
- Department of Cardiology, Angiology, Frankfurt University Hospital, Frankfurt am Main, Germany; Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
| | - Deborah Siry
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany
| | - Janek Salatzki
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Evangelos Giannitsis
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Norbert Frey
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
| | - Johannes Riffel
- Department of Cardiology and Angiology, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Florian André
- Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Heidelberg, Germany; DZHK (German Centre for Cardiovascular Research), Heidelberg, Germany
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Korosoglou G, Sagris M, André F, Steen H, Montenbruck M, Frey N, Kelle S. Systematic review and meta-analysis for the value of cardiac magnetic resonance strain to predict cardiac outcomes. Sci Rep 2024; 14:1094. [PMID: 38212323 PMCID: PMC10784294 DOI: 10.1038/s41598-023-50835-5] [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: 11/02/2023] [Accepted: 12/26/2023] [Indexed: 01/13/2024] Open
Abstract
Cardiac magnetic resonance (CMR) is the gold standard for the diagnostic classification and risk stratification in most patients with cardiac disorders. The aim of the present study was to investigate the ability of Strain-encoded MR (SENC) for the prediction of major adverse cardiovascular events (MACE). A systematic review and meta-analysis was performed according to the PRISMA Guidelines, including patients with or without cardiovascular disease and asymptomatic individuals. Myocardial strain by HARP were used as pulse sequences in 1.5 T scanners. Published literature in MEDLINE (PubMed) and Cochrane's databases were explored before February 2023 for studies assessing the clinical utility of myocardial strain by Harmonic Phase Magnetic Resonance Imaging (HARP), Strain-encoded MR (SENC) or fast-SENC. In total, 8 clinical trials (4 studies conducted in asymptomatic individuals and 4 in patients with suspected or known cardiac disease) were included in this systematic review, while 3 studies were used for our meta-analysis, based on individual patient level data. Kaplan-Meier analysis and Cox proportional hazard models were used, testing the ability of myocardial strain by HARP and SENC/fast-SENC for the prediction of MACE. Strain enabled risk stratification in asymptomatic individuals, predicting MACE and the development of incident heart failure. Of 1332 patients who underwent clinically indicated CMR, including SENC or fast-SENC acquisitions, 19 patients died, 28 experienced non-fatal infarctions, 52 underwent coronary revascularization and 86 were hospitalized due to heart failure during median 22.4 (17.2-28.5) months of follow-up. SENC/fast-SENC, predicted both all-cause mortality and MACE with high accuracy (HR = 3.0, 95% CI = 1.2-7.6, p = 0.02 and HR = 4.1, 95% CI = 3.0-5.5, respectively, p < 0.001). Using hierarchical Cox-proportional hazard regression models, SENC/fast-SENC exhibited incremental value to clinical data and conventional CMR parameters. Reduced myocardial strain predicts of all-cause mortality and cardiac outcomes in symptomatic patients with a wide range of ischemic or non-ischemic cardiac diseases, whereas in asymptomatic individuals, reduced strain was a precursor of incident heart failure.
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Affiliation(s)
- Grigorios Korosoglou
- Departments of Cardiology, Vascular Medicine and Pneumology, GRN Academic Teaching Hospital Weinheim, Roentgenstrasse 1, 69469, Weinheim, Germany.
- Cardiac Imaging Center Weinheim, Hector Foundations, Weinheim, Germany.
| | - Marios Sagris
- Hippokration General Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Florian André
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Henning Steen
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | | | - Norbert Frey
- Departments of Cardiology, Angiology and Pneumology, Heidelberg University, Heidelberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Heidelberg, Germany
| | - Sebastian Kelle
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
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Pezel T, Toupin S, Hovasse T, Champagne S, Unterseeh T, Chitiboi T, Sharma P, Sanguineti F, Garot P, Garot J. A fully automated stress regional strain score as a prognostic marker of cardiovascular events in patients with normal CMR. Front Cardiovasc Med 2024; 10:1334553. [PMID: 38259308 PMCID: PMC10800929 DOI: 10.3389/fcvm.2023.1334553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Affiliation(s)
- Théo Pezel
- Department of Cardiology, University Hospital of Lariboisiere, Université Paris-Cité, (Assistance Publique des Hôpitaux de Paris, AP-HP), Paris, France
- Inserm MASCOT-UMRS 942, Department of Data Science, University Hospital of Lariboisiere, Paris, France
- Department of Radiology, University Hospital of Lariboisiere, Université Paris-Cité, (Assistance Publique des Hôpitaux de Paris, AP-HP), Paris, France
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France
- MIRACL.ai laboratory, Multimodality Imaging for Research and Analysis Core Laboratory-Artificial Intelligence, Department of Data Science, Machine Learning and Artificial Intelligence in Health, University Hospital of Lariboisiere (AP-HP), Paris, France
| | - Solenn Toupin
- Siemens Healthcare France, Scientific Partnerships, Saint-Denis, France
| | - Thomas Hovasse
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France
| | - Stéphane Champagne
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France
| | - Thierry Unterseeh
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France
| | - Teodora Chitiboi
- Siemens Healthcare GmbH, Department of CMR, Hamburg, Deutschland
| | - Puneet Sharma
- Digital Technologies and Innovation, Siemens Healthineers, Princeton, NJ, United States
| | - Francesca Sanguineti
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France
| | - Philippe Garot
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France
| | - Jérôme Garot
- Cardiovascular Magnetic Resonance Laboratory, Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Privé Jacques Cartier, Ramsay Santé, Massy, France
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Pezel T, Garot P, Toupin S, Hovasse T, Sanguineti F, Champagne S, Morisset S, Chitiboi T, Jacob AJ, Sharma P, Unterseeh T, Garot J. Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR. Eur Heart J Cardiovasc Imaging 2023; 24:1269-1279. [PMID: 37159403 DOI: 10.1093/ehjci/jead100] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/11/2023] [Accepted: 04/24/2023] [Indexed: 05/11/2023] Open
Abstract
AIMS To determine whether fully automated artificial intelligence-based global circumferential strain (GCS) assessed during vasodilator stress cardiovascular (CV) magnetic resonance (CMR) can provide incremental prognostic value. METHODS AND RESULTS Between 2016 and 2018, a longitudinal study included all consecutive patients with abnormal stress CMR defined by the presence of inducible ischaemia and/or late gadolinium enhancement. Control subjects with normal stress CMR were selected using a propensity score-matching. Stress-GCS was assessed using a fully automatic machine-learning algorithm based on featured-tracking imaging from short-axis cine images. The primary outcome was the occurrence of major adverse clinical events (MACE) defined as CV mortality or nonfatal myocardial infarction. Cox regressions evaluated the association between stress-GCS and the primary outcome after adjustment for traditional prognosticators. In 2152 patients [66 ± 12 years, 77% men, 1:1 matched patients (1076 with normal and 1076 with abnormal CMR)], stress-GCS was associated with MACE [median follow-up 5.2 (4.8-5.5) years] after adjustment for risk factors in the propensity-matched population [adjusted hazard ratio (HR), 1.12 (95% CI, 1.06-1.18)], and patients with normal CMR [adjusted HR, 1.35 (95% CI, 1.19-1.53), both P < 0.001], but not in patients with abnormal CMR (P = 0.058). In patients with normal CMR, an increased stress-GCS showed the best improvement in model discrimination and reclassification above traditional and stress CMR findings (C-statistic improvement: 0.14; NRI = 0.430; IDI = 0.089, all P < 0.001; LR-test P < 0.001). CONCLUSION Stress-GCS is not a predictor of MACE in patients with ischaemia, but has an incremental prognostic value in those with a normal CMR although the absolute event rate remains low.
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Affiliation(s)
- Théo Pezel
- Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
- Université de Paris Cité, Department of Cardiology, Hôpital Lariboisière-APHP, Inserm UMRS 942, France
| | - Philippe Garot
- Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
| | - Solenn Toupin
- Siemens Healthcare France, Scientific partnerships, 93200 Saint-Denis, France
| | - Thomas Hovasse
- Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
| | - Francesca Sanguineti
- Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
| | - Stéphane Champagne
- Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
| | - Stéphane Morisset
- Independent Biostatistician, Université de Paris Cité, Pérouges, France
| | - Teodora Chitiboi
- Siemens Healthineers, Biomedical Engineering, Lindenplatz 2, Germany
| | - Athira J Jacob
- Siemens Healthineers, Digital Technologies and Innovation, 755 College Road East, Princeton NJ 08540, USA
| | - Puneet Sharma
- Siemens Healthineers, Digital Technologies and Innovation, 755 College Road East, Princeton NJ 08540, USA
| | - Thierry Unterseeh
- Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
| | - Jérôme Garot
- Institut Cardiovasculaire Paris Sud (ICPS), Cardiovascular Magnetic Resonance Laboratory, Hôpital Privé Jacques CARTIER, Ramsay Santé, 6 Avenue du Noyer Lambert, 91300, Massy, France
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