Diastolic function assessed from tagged MRI predicts heart failure and atrial fibrillation over an 8-year follow-up period: the multi-ethnic study of atherosclerosis

Ambale-Venkatesh, Bharath; Armstrong, Anderson C.; Liu, Chia Ying; Donekal, Sirisha; Yoneyama, Kihei; Wu, Colin O.; Gomes, Antoinette S.; Hundley, Gregory; Bluemke, David A.; Lima, João A.C.

doi:10.1093/ehjci/jet189

Cited by 48 publications

(31 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Small differences in LV deformation are expected in groups of generally healthy participants without known clinical CVD. LV strain allows for early identification of subclinical cardiac dysfunction and relates to future clinical events (16,17). The ability to detect early dysfunction may lead to preventive strategies through clinical decision making.…”

Section: Discussionmentioning

confidence: 99%

Association of Cardiovascular Risk Factors and Myocardial Fibrosis With Early Cardiac Dysfunction in Type 1 Diabetes: The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study

et al. 2016

View full text Add to dashboard Cite

OBJECTIVEWe investigated the association of cardiovascular risk factors and myocardial fibrosis with early cardiac dysfunction in type 1 diabetes.RESEARCH DESIGN AND METHODSParticipants with type 1 diabetes aged 13–39 years without a known history of cardiovascular disease (CVD) (n = 1,441) were recruited into the Diabetes Control and Complications Trial (1983–1993) and subsequently followed in the Epidemiology of Diabetes Interventions and Complications study (1994 to present). Seven hundred fourteen participants underwent cardiac magnetic resonance (CMR) imaging (2007–2009) with late gadolinium enhancement sequences to assess ischemic and nonischemic scars and tagging sequences to evaluate circumferential strain. CMR-derived T1 mapping also was used to assess interstitial fibrosis. The influence of cardiovascular risk factors and myocardial scar on circumferential strain was assessed using linear regression.RESULTSCircumferential dysfunction was consistently associated with older age, male sex, smoking history, obesity, higher blood pressure, lower HDL cholesterol, and higher mean HbA1c. Participants with nonischemic scars (n = 16) had the worst circumferential function compared with those without scars (β ± SE 1.32 ± 0.60; P = 0.03). In sex-adjusted models, the correlation between T1 times and circumferential strain was not significant. In the fully adjusted models, a trend toward circumferential dysfunction in participants with nonischemic scars was found. Left ventricular ejection fraction was not associated with risk factors but was significantly lower if a myocardial scar was present.CONCLUSIONSTraditional CVD risk factors and elevated HbA1c levels are major factors related to early cardiac dysfunction in type 1 diabetes. Nonischemic myocardial scar, possibly as a marker of chronic exposure to known risk factors, may predict early cardiac dysfunction mediated by diffuse myocardial fibrosis as seen in diabetic cardiomyopathy.

show abstract

Section: Discussionmentioning

confidence: 99%

Association of Cardiovascular Risk Factors and Myocardial Fibrosis With Early Cardiac Dysfunction in Type 1 Diabetes: The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Диастолическая функция может быть исследована методом оценки периферических искривлений при напряжении/ релаксации стенки миокарда. Обследование при помощи МРТС с определением ИРН больших когорт пациентов без диагностированной сердечно-сосудистой патологии в течение 8 лет показало высокую независимую прогности-ческую ценность ИРН для прогнозирования сердечной не-достаточности и фибрилляции предсердий, не зависящих от установленных факторов риска и маркеров субклиниче-ского течения сердечно-сосудистого заболевания [63].…”

Section: сахарный диабет Diabetes Mellitusunclassified

Predictors and diagnosis of cardiac autonomic nervous dysfunction in patients with type 1 and type 2 diabetes mellitus

et al. 2017

View full text Add to dashboard Cite

ОсложненияComplications нижение вариабельности сердечного ритма (ВСР) является предиктором внезапной сер-дечной смерти, что было известно китайским врачам уже в третьем веке нашей эры: «Если пульс регу-лярен, как стук дятла или капель дождя о крышу, то па-циент умрет в течение четырех дней». В отечественной литературе до последнего времени изменения сердеч-ной мышцы у пациентов с нарушением углеводного об-мена именовали диабетической дистрофией миокарда, что было предложено еще в 1935 г. Лангом Г.Ф. [1]. ЭпидемиологияАнализ результатов эпидемиологических исследова-ний диабетической автономной нейропатии затруднен в связи с различием критериев отбора пациентов и ме-тодов исследования, что ведет к существенной разнице полученных результатов [2].Фактическая распространенность диабетической кардиоваскулярной автономной нейропатии (ДКАН) не установлена. Признается, что она зависит от воз-

show abstract

“…Myocardial tissue tagging was used in a sub-set of the MESA cohort to evaluate tissue function independently of geometric pump function [52]. The Harmonic Phase method was used for analysis since this is automatic after contours enclosing the heart have been defined [53].…”

Section: Challengesmentioning

confidence: 99%

Challenges of Cardiac Image Analysis in Large-Scale Population-Based Studies

et al. 2015

View full text Add to dashboard Cite

Large-scale population-based imaging studies of preclinical and clinical heart disease are becoming possible due to the advent of standardized robust non-invasive imaging methods and infrastructure for big data analysis. This gives an exciting opportunity to gain new information about the development and progression of heart disease across population groups. However, the large amount of image data and prohibitive time required for image analysis present challenges for obtaining useful derived data from the images. Automated analysis tools for cardiac image analysis are only now becoming available. This paper reviews the challenges and possible solutions to the analysis of big imaging data in population studies. We also highlight the potential of recent large epidemiological studies using cardiac imaging to discover new knowledge on heart health and well-being.

show abstract

Diastolic function assessed from tagged MRI predicts heart failure and atrial fibrillation over an 8-year follow-up period: the multi-ethnic study of atherosclerosis

Abstract: SRI predicts HF and AF over an 8-year follow-up period in a large population free of known CVD, independent of established risk factors and markers of subclinical CVD.

Cited by 48 publications

References 38 publications

Association of Cardiovascular Risk Factors and Myocardial Fibrosis With Early Cardiac Dysfunction in Type 1 Diabetes: The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study

Association of Cardiovascular Risk Factors and Myocardial Fibrosis With Early Cardiac Dysfunction in Type 1 Diabetes: The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study

Predictors and diagnosis of cardiac autonomic nervous dysfunction in patients with type 1 and type 2 diabetes mellitus

Challenges of Cardiac Image Analysis in Large-Scale Population-Based Studies

Contact Info

Product

Resources

About