Dataset Information

Personalized Computer Simulation of Diastolic Function in Heart Failure.

ABSTRACT: The search for a parameter representing left ventricular relaxation from non-invasive and invasive diagnostic tools has been extensive, since heart failure (HF) with preserved ejection fraction (HF-pEF) is a global health problem. We explore here the feasibility using patient-specific cardiac computer modeling to capture diastolic parameters in patients suffering from different degrees of systolic HF. Fifty eight patients with idiopathic dilated cardiomyopathy have undergone thorough clinical evaluation, including cardiac magnetic resonance imaging (MRI), heart catheterization, echocardiography, and cardiac biomarker assessment. A previously-introduced framework for creating multi-scale patient-specific cardiac models has been applied on all these patients. Novel parameters, such as global stiffness factor and maximum left ventricular active stress, representing cardiac active and passive tissue properties have been computed for all patients. Invasive pressure measurements from heart catheterization were then used to evaluate ventricular relaxation using the time constant of isovolumic relaxation Tau (?). Parameters from heart catheterization and the multi-scale model have been evaluated and compared to patient clinical presentation. The model parameter global stiffness factor, representing diastolic passive tissue properties, is correlated significantly across the patient population with ?. This study shows that multi-modal cardiac models can successfully capture diastolic (dys) function, a prerequisite for future clinical trials on HF-pEF.

SUBMITTER: Amr A

PROVIDER: S-EPMC4996856 | biostudies-other | 2016 Aug

REPOSITORIES: biostudies-other

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Personalized Computer Simulation of Diastolic Function in Heart Failure.

Amr Ali A Kayvanpour Elham E Sedaghat-Hamedani Farbod F Passerini Tiziano T Mihalef Viorel V Lai Alan A Neumann Dominik D Georgescu Bogdan B Buss Sebastian S Mereles Derliz D Zitron Edgar E Posch Andreas E AE Würstle Maximilian M Mansi Tommaso T Katus Hugo A HA Meder Benjamin B

Genomics, proteomics & bioinformatics 20160729 4

The search for a parameter representing left ventricular relaxation from non-invasive and invasive diagnostic tools has been extensive, since heart failure (HF) with preserved ejection fraction (HF-pEF) is a global health problem. We explore here the feasibility using patient-specific cardiac computer modeling to capture diastolic parameters in patients suffering from different degrees of systolic HF. Fifty eight patients with idiopathic dilated cardiomyopathy have undergone thorough clinical ev ...[more]

PMID: 27477449

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Project description:Aldosterone infusion results in left ventricular hypertrophy (LVH) and hypertension and may involve profibrotic and proinflammatory mechanisms. In turn, hypertension is the major cause of diastolic heart failure (HF). Adiponectin, an adipose-derived plasma protein, exerts antiinflammatory and anti-hypertrophic effects and is implicated in the development of hypertension and systolic HF. We thus tested the hypothesis that hypoadiponectinemia in aldosterone-induced hypertension exacerbated cardiac remodeling and diastolic HF. Wild-type (WT) or adiponectin-deficient (APNKO) mice underwent saline or aldosterone infusion and uninephrectomy and were fed 1% salt water for 4 wk. Blood pressure was increased in aldosterone-infused WT (132 +/- 2 vs. 109 +/- 3 mm Hg; P < 0.01) and further augmented in APNKO mice (140 +/- 3 mm Hg; P < 0.05 vs. aldosterone-infused WT). LVH was increased in aldosterone-infused WT vs. WT mice (LV/body weight ratio, 4.8 +/- 0.2 vs. 4.1 +/- 0.2 mg/g) and further increased in aldosterone-infused APNKO mice (LV/body weight ratio, 6.0 +/- 0.4 mg/g). Left ventricular ejection fraction was not decreased in either aldosterone-infused WT or APNKO hearts. Pulmonary congestion however was worse in APNKO mice (P < 0.01). The ratio of early ventricular filling over late ventricular filling (E/A) and the ratio of mitral peak velocity of early filling to early diastolic mitral annular velocity (E/e'), measures of diastolic function, were increased in aldosterone-infused WT hearts and further increased in APNKO hearts (P < 0.05 for both). Renal function and cardiac fibrosis were no different between both aldosterone-infused groups. Aldosterone increased matrix metalloproteinase-2 expression in WT hearts (P < 0.05 vs. WT and P < 0.01 vs. APNKO). Myocardial atrial natriuretic peptide, interferon-gamma, and TNF-alpha expression were increased in aldosterone-infused WT hearts. Expression of these proteins was further increased in aldosterone-infused APNKO hearts. Therefore, hypoadiponectinemia in hypertension-induced diastolic HF exacerbates LVH, diastolic dysfunction, and diastolic HF. Whether or not adiponectin replacement prevents the progression to diastolic HF will warrant further study.

Project description:AimsWe investigated whether addition of diastolic dysfunction (DD) and longitudinal strain (LS) to Stage B heart failure (SBHF) criteria (structural or systolic abnormality) improves prediction of symptomatic HF in participants of the SCReening Evaluation of the Evolution of New Heart Failure study, a self-selected population at increased cardiovascular disease risk recruited from members of a health insurance fund in Melbourne and Shepparton, Australia. Both American Society of Echocardiography and European Association of Cardiovascular Imaging (ASE/EACVI) criteria and age-specific Atherosclerosis Risk in Communities (ARIC) study criteria, for SBHF and DD, and ARIC criteria for abnormal LS, were examined.Methods and resultsInclusion criteria were age ≥60 years with one or more of self-reported ischaemic or other heart disease, irregular or rapid heart rhythm, cerebrovascular disease, renal impairment, or treatment for hypertension or diabetes for ≥2 years. Exclusion criteria were known HF, or ejection fraction <50% or >mild valve abnormality detected on previous echocardiography or other imaging. Echocardiography was performed in 3190 participants who were followed for a median of 3.9 (interquartile range: 3.4, 4.5) years after echocardiography. Symptomatic HF was diagnosed in 139 participants at a median of 3.1 (interquartile range: 2.1, 3.9) years after echocardiography. ARIC structural, systolic, and diastolic abnormalities predicted HF in univariate and multivariable proportional hazards analyses, whereas ASE/EACVI structural and systolic, but not diastolic, abnormalities predicted HF. ARIC and ASE/EACVI SBHF criteria predicted HF with sensitivities of 81% and 55%, specificities of 39% and 76%, and C statistics of 0.60 (95% confidence interval: 0.57, 0.64) and 0.66 (0.61, 0.71), respectively. Adding ARIC DD to SBHF increased sensitivity to 94% with specificity of 24% and C statistic of 0.59 (0.57, 0.61), whereas addition of ASE/EACVI DD to SBHF increased sensitivity to 97% but reduced specificity to 9% and the C statistic to 0.52 (0.50, 0.54, P < 0.0001). Addition of LS to ARIC or ASE/EACVI SBHF criteria had minimal impact on prediction of HF.ConclusionsAge-specific ARIC DD criteria, but not ASE/EACVI DD criteria, predicted symptomatic HF, and addition of age-specific ARIC DD criteria to ARIC SBHF criteria improved prediction of symptomatic HF in asymptomatic individuals with cardiovascular disease risk factors. Addition of LS to ASE/EACVI or ARIC SBHF criteria did not improve prediction of symptomatic HF.

Dataset Information

Personalized Computer Simulation of Diastolic Function in Heart Failure.

Publications

Personalized Computer Simulation of Diastolic Function in Heart Failure.

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