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Jurica J, Péč MJ, Cingel M, Bolek T, Barbierik Vachalcová M, Horná S, Galajda P, Mokáň M, Samoš M. Left Ventricular and Atrial Deformation in Patients with Acute Decompensated Heart Failure: A Pilot Study. Diagnostics (Basel) 2024; 14:1368. [PMID: 39001258 PMCID: PMC11240885 DOI: 10.3390/diagnostics14131368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 06/16/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
AIMS The aims of this study were to compare global longitudinal strain of the left ventricle (LV-GLS) and reservoir strain of the left atrium (R-LAS) values between patients with acute decompensation of chronic heart failure (HF) and a control group. METHODS Sixteen patients admitted to our ward for acute decompensation of HF were enrolled in this study. Transthoracic echocardiography (TTE) with two-dimensional speckle-tracking analysis (2D ST) was performed in each patient. The patients were divided into two subgroups according to the value of left ventricular ejection fraction (EF) using a cut-off value of ≤40% to distinguish heart failure with reduced ejection fraction (HFrEF) from heart failure with preserved ejection fraction (HFpEF). The control group consisted of 16 individuals without a history of cardiovascular disease, each of whom underwent 2D ST analysis as well. RESULTS We found that LV-GLS and R-LAS were significantly lower in both the HFrEF and HFpEF subgroups in comparison with the control group (LV-GLS: -13.4 ± 4.7% vs. -19.7 ± 2.5%, p ˂ 0.05; R-LAS: +12.2 ± 6.9% vs. +40.3 ± 7.4%, p ˂ 0.05). Furthermore, there was a significant difference in LV-GLS (-9.6 ± 3.2% vs. -15.2 ± 4.3%, p ˂ 0.05) but not in R-LAS (+13.7 ± 8.6% vs. +11.4 ± 6.2%) between the HFrEF and HFpEF subgroups. CONCLUSIONS Our study demonstrated a significant difference in LV-GLS and R-LAS in all enrolled HF patients compared to the control group. There was also a significant difference in LV-GLS between the HFrEF and HFpEF subgroups.
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Affiliation(s)
- Jakub Jurica
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
| | - Martin Jozef Péč
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
| | - Marek Cingel
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
| | - Tomáš Bolek
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
- Department of Cardiology, Teaching Hospital in Trenčín, 911 01 Trenčín, Slovakia
| | - Marianna Barbierik Vachalcová
- Department of Cardiology I, Faculty of Medicine, P.J. Šafárik University in Košice and East-Slovakian Institute of Heart and Vessel Diseases (VÚSCH, a.s.) in Košice, 040 11 Košice, Slovakia;
| | - Simona Horná
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
| | - Peter Galajda
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
| | - Marián Mokáň
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
| | - Matej Samoš
- Department of Internal Medicine I, University Hospital Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia; (J.J.); (M.J.P.); (M.C.); (T.B.); (S.H.); (P.G.); (M.M.)
- Department of Cardiology, Teaching Hospital in Trenčín, 911 01 Trenčín, Slovakia
- Division of Acute and Interventional Cardiology, Department of Cardiology and Angiology II, Mid-Slovakian Institute of Heart and Vessel Diseases (SÚSCCH, a.s.) in Banská Bystrica, 974 01 Banská Bystrica, Slovakia
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Pamuk U, Alper Gürsu H, Azak E, İlker Çetin İ. Assessment of Myocardial Mechanics in Acute Rheumatic Fever Using Speckle-Tracking Echocardiography. Anatol J Cardiol 2023; 27:592-596. [PMID: 37466023 PMCID: PMC10541787 DOI: 10.14744/anatoljcardiol.2023.1792] [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: 02/24/2023] [Accepted: 05/25/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND This study aims to evaluate the role of speckle-tracking echocardiography to identify myocardial deformation in acute rheumatic fever. METHODS Twenty-seven patients and 27 healthy children were prospectively evaluated. The patient group was divided into 2 subgroups based on echocardiographic findings, with or without carditis. The left ventricular global longitudinal strain and strain rate, left ventricular global circumferential strain and strain rate, and right ventricular global lon-gitudinal strain and strain rate were assessed by speckle-tracking echocardiography. RESULTS In the acute phase of the disease, all values except the right ventricular global longitudinal strain were found to be significantly below the control group in the patient cohort. No significant difference was found between the patients grouped as carditis and non-carditis in the acute period. Comparison of the acute period with the post-treatment period revealed a significant increase in all strain values of the patients with carditis and significant increases observed in all values except left ventricular global longitudinal strain rate, left ventricular global circumferential strain rate, and right ventricular global longitudinal strain rate values in patients without carditis. Apart from the right ventricular global longitudinal strain rate, which was significantly lower in the non-carditis group compared to the control group, there was no significant difference in strain values between the patient and control groups following treatment. CONCLUSION In the present study, we found that all patients, including patients in whom no valvular involvement was detected by echocardiography in the acute phase of acute rheumatic fever, had a lower right and left ventricular strain and strain rate measurements and that these findings improved after treatment, suggesting that strain echocardiography may be a helpful diagnostic method, especially in patients without valvular involvement.
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Affiliation(s)
- Utku Pamuk
- Department of Pediatrics, Division of Pediatric Cardiology, Ankara Training and Research Hospital, Ankara, Türkiye
| | - Hazım Alper Gürsu
- Department of Pediatric Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Türkiye
| | - Emine Azak
- Department of Pediatric Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Türkiye
| | - İbrahim İlker Çetin
- Department of Pediatric Cardiology, University of Health Sciences, Ankara City Hospital, Ankara, Türkiye
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Nogueira MA, Calcagno S, Campbell N, Zaman A, Koulaouzidis G, Jalil A, Alam F, Stankovic T, Szabo E, Szabo AB, Kecskes I. Detecting heart failure using novel bio-signals and a knowledge enhanced neural network. Comput Biol Med 2023; 154:106547. [PMID: 36696813 DOI: 10.1016/j.compbiomed.2023.106547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/02/2023] [Accepted: 01/10/2023] [Indexed: 01/13/2023]
Abstract
BACKGROUND Clinical decisions about Heart Failure (HF) are frequently based on measurements of left ventricular ejection fraction (LVEF), relying mainly on echocardiography measurements for evaluating structural and functional abnormalities of heart disease. As echocardiography is not available in primary care, this means that HF cannot be detected on initial patient presentation. Instead, physicians in primary care must rely on a clinical diagnosis that can take weeks, even months of costly testing and clinical visits. As a result, the opportunity for early detection of HF is lost. METHODS AND RESULTS The standard 12-Lead ECG provides only limited diagnostic evidence for many common heart problems. ECG findings typically show low sensitivity for structural heart abnormalities and low specificity for function abnormalities, e.g., systolic dysfunction. As a result, structural and functional heart abnormalities are typically diagnosed by echocardiography in secondary care, effectively creating a diagnostic gap between primary and secondary care. This diagnostic gap was successfully reduced by an AI solution, the Cardio-HART™ (CHART), which uses Knowledge-enhanced Neural Networks to process novel bio-signals. Cardio-HART reached higher performance in prediction of HF when compared to the best ECG-based criteria: sensitivity increased from 53.5% to 82.8%, specificity from 85.1% to 86.9%, positive predictive value from 57.1% to 70.0%, the F-score from 56.4% to 72.2%, and area under curve from 0.79 to 0.91. The sensitivity of the HF-indicated findings is doubled by the AI compared to the best rule-based ECG-findings with a similar specificity level: from 38.6% to 71%. CONCLUSION Using an AI solution to process ECG and novel bio-signals, the CHART algorithms are able to predict structural, functional, and valve abnormalities, effectively reducing this diagnostic gap, thereby allowing for the early detection of most common heart diseases and HF in primary care.
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Affiliation(s)
- Marta Afonso Nogueira
- Consultant Cardiologist Heart Failure and Cardiomyopathies, Department of Cardiology, Cascais Hospital, Lusíadas Saúde - UnitedHealth Group, Lisbon, Portugal
| | - Simone Calcagno
- Division of Cardiology, Santa Maria Goretti Hospital, Via Canova Snc, 04100, Latina, Italy
| | - Niall Campbell
- Manchester University NHS Foundation Trust, Department of Cardiology, Manchester, UK
| | - Azfar Zaman
- Freeman Hospital, Newcastle University, and Newcastle upon Tyne Hospitals NHS Trust, Newcastle, UK
| | | | - Anwar Jalil
- Cardiology of Karachi, Hill Park General Hospital, Karachi, Pakistan
| | - Firdous Alam
- Cardiology of Karachi, Hill Park General Hospital, Karachi, Pakistan
| | - Tatjana Stankovic
- Division of Cardiology, Regional Hospital Dr Radivoj Simonovic Sombor, Sombor, Serbia
| | - Erzsebet Szabo
- Division of Cardiology, General Hospital Senta, Senta, Serbia
| | - Aniko B Szabo
- Division of Cardiology, General Hospital Senta, Senta, Serbia
| | - Istvan Kecskes
- Dir. Cardiology Research and Scientific Advancements, UVA Research Corp., 24000, Subotica, Henrike Sjenkjevica 14, Serbia.
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Karev E, Verbilo SL, Malev EG, Prokudina MN. The impact of medical therapy on left ventricular strain: Current state and future perspectives. JOURNAL OF CLINICAL ULTRASOUND : JCU 2022; 50:887-898. [PMID: 35617148 DOI: 10.1002/jcu.23244] [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: 02/21/2022] [Revised: 04/21/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
The speckle tracking strain is becoming a frequently used marker of subclinical left ventricular systolic dysfunction. Despite the wide range of data concerning left ventricular strain variability in the general population and its changes in various pathologic conditions, the information about the impact of medical therapy on left ventricle strain is limited. This article provides an analysis of published studies of left ventricle strain changes in response to different agents and combinations of medical therapies used for hypertension and congestive heart failure.
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Affiliation(s)
- Egor Karev
- Federal State Budgetary Institution "V.A. Almazov National Medical Research Center" of the Ministry of Health of the Russian Federation, Saint Petersburg, Russia
| | - Sergey L Verbilo
- Federal State Budgetary Institution "V.A. Almazov National Medical Research Center" of the Ministry of Health of the Russian Federation, Saint Petersburg, Russia
| | - Eduard G Malev
- Research Laboratory for Connective Tissue Dysplasia, Heart and Vessels Institute, Federal State Budgetary Institution "V.A. Almazov National Medical Research Center" of the Ministry of Health of the Russian Federation, Saint Petersburg, Russia
| | - Maria N Prokudina
- Limited Liability Company "International Heart Center", 6 Tverskaya street, Saint-Petersburg, 191015, Russia
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Tobler DL, Pruzansky AJ, Naderi S, Ambrosy AP, Slade JJ. Long-Term Cardiovascular Effects of COVID-19: Emerging Data Relevant to the Cardiovascular Clinician. Curr Atheroscler Rep 2022; 24:563-570. [PMID: 35507278 PMCID: PMC9065238 DOI: 10.1007/s11883-022-01032-8] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/30/2022] [Indexed: 12/15/2022]
Abstract
Purpose of Review COVID-19 is now a global pandemic and the illness affects multiple organ systems, including the cardiovascular system. Long-term cardiovascular consequences of COVID-19 are not yet fully characterized. This review seeks to consolidate available data on long-term cardiovascular complications of COVID-19 infection. Recent Findings Acute cardiovascular complications of COVID-19 infection include myocarditis, pericarditis, acute coronary syndrome, heart failure, pulmonary hypertension, right ventricular dysfunction, and arrhythmia. Long-term follow-up shows increased incidence of arrhythmia, heart failure, acute coronary syndrome, right ventricular dysfunction, myocardial fibrosis, hypertension, and diabetes mellitus. There is increased mortality in COVID-19 patients after hospital discharge, and initial myocardial injury is associated with increased mortality. Summary Emerging data demonstrates increased incidence of cardiovascular illness and structural changes in recovered COVID-19 patients. Future research will be important in understanding the clinical significance of these structural abnormalities, and to determine the effect of vaccines on preventing long-term cardiovascular complications.
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Affiliation(s)
- Diana L Tobler
- Department of Cardiology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
| | - Alix J Pruzansky
- Department of Medicine, Kaiser Permanente Santa Clara Medical Center, Santa Clara, CA, USA
| | - Sahar Naderi
- Department of Cardiology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
| | - Andrew P Ambrosy
- Department of Cardiology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA.,Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Justin J Slade
- Department of Cardiology, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA.
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Zhang Y, Mui D, Chirinos JA, Zamani P, Ferrari VA, Chen Y, Han Y. Comparing cardiovascular magnetic resonance strain software packages by their abilities to discriminate outcomes in patients with heart failure with preserved ejection fraction. J Cardiovasc Magn Reson 2021; 23:55. [PMID: 34011382 PMCID: PMC8136221 DOI: 10.1186/s12968-021-00747-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 03/18/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance (CMR) myocardial strain analysis using feature tracking (FT) is an increasingly popular method to assess cardiac function. However, different software packages produce different strain values from the same images and there is little guidance regarding which software package would be the best to use. We explored a framework under which different software packages could be compared and used based on their abilities to differentiate disease from health and differentiate disease severity based on outcome. METHOD To illustrate this concept, we compared 4-chamber left ventricular (LV) peak longitudinal strain (GLS) analyzed from retrospective electrocardiogram gated cine imaging performed on 1.5 T CMR scanners using three CMR post-processing software packages in their abilities to discriminate a group of 45 patients with heart failure with preserved ejection fraction (HFpEF) from 26 controls without cardiovascular disease and to discriminate disease severity based on outcomes. The three different post-processing software used were SuiteHeart, cvi42, and DRA-Trufistrain. RESULTS All three software packages were able to distinguish HFpEF patients from controls. 4-chamber peak GLS by SuiteHeart was shown to be a better discriminator of adverse outcomes in HFpEF patients than 4-chamber GLS derived from cvi42 or DRA-Trufistrain. CONCLUSION We illustrated a framework to compare feature tracking GLS derived from different post-processing software packages. Publicly available imaging data sets with outcomes would be important to validate the growing number of CMR-FT software packages.
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Affiliation(s)
- Ying Zhang
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
- PLA General Hospital, Beijing, China
| | - David Mui
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Julio A. Chirinos
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Payman Zamani
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Victor A. Ferrari
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Chengdu, China
| | - Yuchi Han
- Cardiovascular Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA 19104 USA
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Margonato D, Mazzetti S, De Maria R, Gorini M, Iacoviello M, Maggioni AP, Mortara A. Heart Failure With Mid-range or Recovered Ejection Fraction: Differential Determinants of Transition. Card Fail Rev 2020; 6:e28. [PMID: 33133642 PMCID: PMC7592465 DOI: 10.15420/cfr.2020.13] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 07/13/2020] [Indexed: 12/22/2022] Open
Abstract
The recent definition of an intermediate clinical phenotype of heart failure (HF) based on an ejection fraction (EF) of between 40% and 49%, namely HF with mid-range EF (HFmrEF), has fuelled investigations into the clinical profile and prognosis of this patient group. HFmrEF shares common clinical features with other HF phenotypes, such as a high prevalence of ischaemic aetiology, as in HF with reduced EF (HFrEF), or hypertension and diabetes, as in HF with preserved EF (HFpEF), and benefits from the cornerstone drugs indicated for HFrEF. Among the HF phenotypes, HFmrEF is characterised by the highest rate of transition to either recovery or worsening of the severe systolic dysfunction profile that is the target of disease-modifying therapies, with opposite prognostic implications. This article focuses on the epidemiology, clinical characteristics and therapeutic approaches for HFmrEF, and discusses the major determinants of transition to HFpEF or HFrEF.
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Affiliation(s)
- Davide Margonato
- Department of Clinical Cardiology, Policlinico di Monza Monza, Italy.,Department of Cardiology, University of Pavia Pavia, Italy
| | - Simone Mazzetti
- Department of Clinical Cardiology, Policlinico di Monza Monza, Italy
| | - Renata De Maria
- National Research Council, Institute of Clinical Physiology, ASST Great Metropolitan Hospital Niguarda Milan, Italy
| | | | - Massimo Iacoviello
- Department of Medical and Surgical Sciences, University of Foggia Foggia, Italy
| | | | - Andrea Mortara
- Department of Clinical Cardiology, Policlinico di Monza Monza, Italy
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Abdelsayed M, Bytyçi I, Rydberg A, Henein MY. Left Ventricular Contraction Duration Is the Most Powerful Predictor of Cardiac Events in LQTS: A Systematic Review and Meta-Analysis. J Clin Med 2020; 9:jcm9092820. [PMID: 32878246 PMCID: PMC7565502 DOI: 10.3390/jcm9092820] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 08/21/2020] [Accepted: 08/26/2020] [Indexed: 02/07/2023] Open
Abstract
Background: Long-QT syndrome (LQTS) is primarily an electrical disorder characterized by a prolonged myocardial action potential. The delay in cardiac repolarization leads to electromechanical (EM) abnormalities, which adds a diagnostic value for LQTS. Prolonged left ventricular (LV) contraction was identified as a potential risk for arrhythmia. The aim of this meta-analysis was to assess the best predictor of all EM parameters for cardiac events (CEs) in LQTS patients. Methods: We systematically searched all electronic databases up to March 2020, to select studies that assessed the relationship between echocardiographic indices—contraction duration (CD), mechanical dispersion (MD), QRS onset to peak systolic strain (QAoC), and the EM window (EMW); and electrical indices— corrected QT interval (QTC), QTC dispersion, RR interval in relation to CEs in LQTS. This meta-analysis included a total of 1041 patients and 373 controls recruited from 12 studies. Results: The meta-analysis showed that LQTS patients had electrical and mechanical abnormalities as compared to controls—QTC, WMD 72.8; QTC dispersion, WMD 31.7; RR interval, WMD 91.5; CD, WMD 49.2; MD, WMD 15.9; QAoC, WMD 27.8; and EMW, WMD −62.4. These mechanical abnormalities were more profound in symptomatic compared to asymptomatic patients in whom disturbances were already manifest, compared to controls. A CD ≥430 ms had a summary sensitivity (SS) of 71%, specificity of 84%, and diagnostic odds ratio (DOR) >19.5 in predicting CEs. EMW and QTC had a lower accuracy. Conclusions: LQTS is associated with pronounced EM abnormalities, particularly prolonged LV myocardial CD, which is profound in symptomatic patients. These findings highlight the significant role of EM indices like CD in managing LQTS patients.
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Affiliation(s)
- Mena Abdelsayed
- Institute of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden; (M.A.); (I.B.)
| | - Ibadete Bytyçi
- Institute of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden; (M.A.); (I.B.)
- Universi College, Bardhosh, 10000 Prishtina, Kosovo
| | - Annika Rydberg
- Department of Clinical Sciences, Pediatrics, Umeå University, 90187 Umeå, Sweden;
| | - Michael Y. Henein
- Institute of Public Health and Clinical Medicine, Umeå University, 90187 Umeå, Sweden; (M.A.); (I.B.)
- Molecular and Clinical Sciences Research Institute, St George University London, SW17 0QT, UK
- Institute of Fluid Dynamics, Brunel University, London UB8 3PH, UK
- Correspondence: ; Tel.: +46-90-785-1431
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Yokoe I, Kobayashi H, Kobayashi Y, Nishiwaki A, Sugiyama K, Nagasawa Y, Ikumi N, Karasawa H, Okumura Y, Kitamura N, Takei M. Impact of biological treatment on left ventricular dysfunction determined by global circumferential, longitudinal and radial strain values using cardiac magnetic resonance imaging in patients with rheumatoid arthritis. Int J Rheum Dis 2020; 23:1363-1371. [DOI: 10.1111/1756-185x.13942] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/29/2020] [Accepted: 07/20/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Isamu Yokoe
- Department of Rheumatology and Internal Medicine Kyoundo Hospital Sasaki Institute Tokyo Japan
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
| | - Hitomi Kobayashi
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
- Division of Rheumatology Itabashi Chuo Medical Center Tokyo Japan
| | - Yasuyuki Kobayashi
- Department of Medical Information and Communication Technology Research Graduate School of Medicine St. Marianna University School of Medicine Kawasaki Japan
| | - Atsuma Nishiwaki
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
| | - Kaita Sugiyama
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
| | - Yousuke Nagasawa
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
| | - Natsumi Ikumi
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
| | - Hiromi Karasawa
- Department of Rheumatology and Internal Medicine Kyoundo Hospital Sasaki Institute Tokyo Japan
| | - Yasuo Okumura
- Division of Cardiology Department of Medicine Nihon University School of Medicine Tokyo Japan
| | - Noboru Kitamura
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
| | - Masami Takei
- Division of Hematology and Rheumatology Department of Medicine Nihon University School of Medicine Tokyo Japan
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