دورية أكاديمية
أعرض في EDS

Patterns of cardiovascular magnetic resonance inflammation in acute myocarditis from South Asia and Middle East.

التفاصيل البيبلوغرافية
العنوان: Patterns of cardiovascular magnetic resonance inflammation in acute myocarditis from South Asia and Middle East.
المؤلفون: Ghareeb AN; Department of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar., Karim SA; Department of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar., Jani VP; Helen B. Taussig Center, The Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA., Francis W; Department of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar., Van den Eynde J; Helen B. Taussig Center, The Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA.; Department of Cardiovascular Sciences, KU Leuven, Belgium., Alkuwari M; Department of Clinical Imaging, Heart Hospital, Hamad Medical Corporation, Doha, Qatar., Kutty S; Helen B. Taussig Center, The Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA.
المصدر: International journal of cardiology. Heart & vasculature [Int J Cardiol Heart Vasc] 2022 Apr 08; Vol. 40, pp. 101029. Date of Electronic Publication: 2022 Apr 08 (Print Publication: 2022).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Ireland Ltd Country of Publication: Ireland NLM ID: 101649525 Publication Model: eCollection Cited Medium: Print ISSN: 2352-9067 (Print) Linking ISSN: 23529067 NLM ISO Abbreviation: Int J Cardiol Heart Vasc Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Shannon [Ireland] : Elsevier Ireland Ltd., [2014]-
مستخلص: Background: Cardiovascular magnetic resonance (CMR) is the test of choice for diagnosis and risk stratification of myocardial inflammation in acute viral myocarditis. The objective of this study was to assess patterns of CMR inflammation in a cohort of acute myocarditis patients from Northern Africa, Asia, and the Middle East using unsupervised machine learning.
Methods: A total of 169 racially and ethnically diverse adults ( ≥ 18 years of age) with CMR confirmed acute myocarditis were studied. The primary outcome was a combined clinical endpoint of cardiac death, arrhythmia, and dilated cardiomyopathy. Machine learning was used for exploratory analysis to identify patterns of CMR inflammation.
Results: Our cohort was diverse with 25% from Northern Africa, 33% from Southern Asia, and 28% from Western Asia/the Middle East. Twelve patients met the combined clinical endpoint - 3 had arrythmia, 8 had dilated cardiomyopathy, and 1 died. Patients who met the combined endpoint had increased anterior (p = 0.034) and septal (p = 0.042) late gadolinium enhancement (LGE). Multivariable logistic regression, adjusted for age, gender, and BMI, found that patients from Southern Asia (p = 0.041) and the Middle East (p = 0.043) were independently associated with lateral LGE. Unsupervised machine learning and factor analysis identified two distinct CMR patterns of inflammation, one with increased LGE and the other with increased myocardial T1/T2.
Conclusions: We found that anteroseptal inflammation is associated with worsened outcomes. Using machine learning, we identified two patterns of myocardial inflammation in acute myocarditis from CMR in a racially and ethnically diverse group of patients from Southern Asia, Northern Africa, and the Middle East.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2022 The Author(s).)
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معلومات مُعتمدة: T32 GM136577 United States GM NIGMS NIH HHS
فهرسة مساهمة: Keywords: BSA, Body Surface Area; CMR, Cardiovascular Magnetic Resonance; CMV, Cytomegalovirus; CRP, C Reactive Protein; Cardiovascular magnetic resonance; DALY, Disability-Adjusted Life Years; EBV, Epstein-Barr Virus (EBV); EGE, Early Gadolinium Enhancement; EMB, Endomyocardial Biopsy; Global health; HBV, Hepatitis B Virus; Hs, High-Sensitivity; IQR, interquartile range; LGE, Late Gadolinium Enhancement; LLC, Lake Louise Criteria; LVEDVi, Left Ventricular End Diastolic Volume indexed; LVEF, Left Ventricular Ejection Fraction; LVESVi, Left Ventricular End Systolic Volume indexed; Machine learning; RVEF, Right Ventricular Ejection Fraction; SD, Standard Deviation; T1, Spin-lattice relaxation; T1/T2 parametric mapping; T2, Transverse relaxation; Viral myocarditis
تواريخ الأحداث: Date Created: 20220418 Latest Revision: 20221110
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC9011019
DOI: 10.1016/j.ijcha.2022.101029
PMID: 35434258
قاعدة البيانات: MEDLINE
الوصف
تدمد:2352-9067
DOI:10.1016/j.ijcha.2022.101029