Impaired energetics in heart failure — A new therapeutic target

Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model

BACKGROUND

Clinical notes contain contextualized information beyond structured data related to patients' past and current health status.

OBJECTIVE

This study aimed to design a multimodal deep learning approach to improve the evaluation precision of hospital outcomes for heart failure (HF) using admission clinical notes and easily collected tabular data.

METHODS

Data for the development and validation of the multimodal model were retrospectively derived from 3 open-access US databases, including the Medical Information Mart for Intensive Care III v1.4 (MIMIC-III) and MIMIC-IV v1.0, collected from a teaching hospital from 2001 to 2019, and the eICU Collaborative Research Database v1.2, collected from 208 hospitals from 2014 to 2015. The study cohorts consisted of all patients with critical HF. The clinical notes, including chief complaint, history of present illness, physical examination, medical history, and admission medication, as well as clinical variables recorded in electronic health records, were analyzed. We developed a deep learning mortality prediction model for in-hospital patients, which underwent complete internal, prospective, and external evaluation. The Integrated Gradients and SHapley Additive exPlanations (SHAP) methods were used to analyze the importance of risk factors.

RESULTS

The study included 9989 (16.4%) patients in the development set, 2497 (14.1%) patients in the internal validation set, 1896 (18.3%) in the prospective validation set, and 7432 (15%) patients in the external validation set. The area under the receiver operating characteristic curve of the models was 0.838 (95% CI 0.827-0.851), 0.849 (95% CI 0.841-0.856), and 0.767 (95% CI 0.762-0.772), for the internal, prospective, and external validation sets, respectively. The area under the receiver operating characteristic curve of the multimodal model outperformed that of the unimodal models in all test sets, and tabular data contributed to higher discrimination. The medical history and physical examination were more useful than other factors in early assessments.

CONCLUSIONS

The multimodal deep learning model for combining admission notes and clinical tabular data showed promising efficacy as a potentially novel method in evaluating the risk of mortality in patients with HF, providing more accurate and timely decision support.

Receptor-interacting protein 140 overexpression impairs cardiac mitochondrial function and accelerates the transition to heart failure in chronically infarcted rats

Heart failure (HF) is associated with myocardial energy metabolic abnormality. Receptor-interacting protein 140 (RIP140) is an important transcriptional cofactor for maintaining energy balance in high-oxygen consumption tissues. However, the role of RIP140 in the pathologic processes of HF remains to be elucidated. In this study, we investigated the role of RIP140 in mitochondrial and cardiac functions in rodent hearts under myocardial infarction (MI) stress. MI was created by a permanent ligation of left anterior descending coronary artery and exogenous expression of RIP140 by adenovirus (Ad) vector delivery. Four weeks after MI or Ad-RIP140 treatment, cardiac function was assessed by echocardiographic and hemodynamics analyses, and the mitochondrial function was determined by mitochondrial genes expression, biogenesis, and respiration rates. In Ad-RIP140 or MI group, a subset of metabolic genes changed, accompanied with slight reductions in mitochondrial biogenesis and respiration rates but no change in adenosine triphosphate (ATP) content. Cardiac malfunction was compensated. However, under MI stress, rats overexpressing RIP140 exhibited greater repressions in mitochondrial genes, state 3 respiration rates, respiration control ratio, and ATP content and had further deteriorated cardiac malfunction. In conclusion, RIP140 overexpression leads to comparable cardiac function as resulted from MI, but RIP140 aggravates metabolic repression, mitochondrial malfunction, and further accelerates the transition to HF in response to MI stress.

Ventricular-Arterial Function and Coupling in the Adult Fontan Circulation

Background

In adult Fontan patients, ventricular or arterial dysfunction may impact homeostasis of the Fontan circulation and predispose to heart failure. We sought to characterize ventricular‐arterial (VA) properties in adult Fontan patients.

Methods and Results

Adult Fontan patients (n=170), including those with right (SRV, n=57) and left (SLV, n=113) dominant ventricular morphology, were compared to age, sex, and body size matched controls (n=170). Arterial function, load‐insensitive measures of contractility, VA coupling, diastolic function, and ventricular efficiency were assessed. Compared to controls, Fontan patients had similar arterial (Ea), but lower end‐systolic ventricular (Ees), elastance, preload recruitable stroke work and peak power index, impaired VA coupling, eccentric remodeling, reduced ventricular efficiency and increased diastolic stiffness (P<0.05 for all). Ventricular efficiency declined steeply with higher heart rate in Fontan, but not control, patients. Among Fontan patients (n=123) and controls (n=162) with preserved cardiac index (CI; ≥2.5 L/min per m²), Fontan patients had worse contractility than controls, but CI was preserved owing to relative tachycardia, lower afterload, and eccentric remodeling. However, 25% of Fontan patients had reduced CI and were distinguished from those with preserved CI by less‐eccentric remodeling and worse diastolic function, rather than more‐impaired contractility.

Conclusions

Adult Fontan patients have contractile and diastolic dysfunction with normal afterload, impaired VA coupling, and reduced ventricular efficiency with heightened sensitivity to heart rate. Maintenance of CI is dependent on lower afterload, eccentric remodeling, and relative preservation of diastolic function. These data contribute to our understanding of circulatory physiology in adult Fontan patients.

Dietary fish oil preserves cardiac function in the hypertrophied rat heart

Regular fish or fish oil intake is associated with a low incidence of heart failure clinically, and fish oil-induced reduction in cardiac remodelling seen in hypertrophy models may contribute. We investigated whether improved cardiac energy efficiency in non-hypertrophied hearts translates into attenuation of cardiac dysfunction in hypertrophied hearts. Male Wistar rats (n 33) at 8 weeks of age were sham-operated or subjected to abdominal aortic stenosis to produce pressure-overload cardiac hypertrophy. Starting 3 weeks post-operatively to follow initiation of hypertrophy, rats were fed a diet containing 10 % olive oil (control) or 5 % fish oil (ROPUFA® 30 (17 % EPA, 10 % DHA))+5 % olive oil (FO diet). At 15 weeks post-operatively, ventricular haemodynamics and oxygen consumption were evaluated in the blood-perfused, isolated working heart. Resting and maximally stimulated cardiac output and external work were >60 % depressed in hypertrophied control hearts but this was prevented by FO feeding, without attenuating hypertrophy. Cardiac energy efficiency was lower in hypertrophy, but greater in FO hearts for any given cardiac mass. Coronary blood flow, restricted in hypertrophied control hearts, increased with increasing work in hypertrophied FO hearts, revealing a significant coronary vasodilator reserve. Pronounced cardiac dysfunction in hypertrophied hearts across low and high workloads, indicative of heart failure, was attenuated by FO feeding in association with membrane incorporation of n-3 PUFA, principally DHA. Dietary fish oil may offer a new approach to balancing the high oxygen demand and haemodynamic requirements of the failing hypertrophied heart independently of attenuating hypertrophy.

PGC-1 alpha accelerates cytosolic Ca2+ clearance without disturbing Ca2+ homeostasis in cardiac myocytes

Energy metabolism and Ca(2+) handling serve critical roles in cardiac physiology and pathophysiology. Peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PGC-1 alpha) is a multi-functional coactivator that is involved in the regulation of cardiac mitochondrial functional capacity and cellular energy metabolism. However, the regulation of PGC-1 alpha in cardiac Ca(2+) signaling has not been fully elucidated. To address this issue, we combined confocal line-scan imaging with off-line imaging processing to characterize calcium signaling in cultured adult rat ventricular myocytes expressing PGC-1 alpha via adenoviral transduction. Our data shows that overexpressing PGC-1 alpha improved myocyte contractility without increasing the amplitude of Ca(2+) transients, suggesting that myofilament sensitivity to Ca(2+) increased. Interestingly, the decay kinetics of global Ca(2+) transients and Ca(2+) waves accelerated in PGC-1 alpha-expressing cells, but the decay rate of caffeine-elicited Ca(2+) transients showed no significant change. This suggests that sarcoplasmic reticulum (SR) Ca(2+)-ATPase (SERCA2a), but not Na(+)/Ca(2+) exchange (NCX) contribute to PGC-1 alpha-induced cytosolic Ca(2+) clearance. Furthermore, PGC-1 alpha induced the expression of SERCA2a in cultured cardiac myocytes. Importantly, overexpressing PGC-1 alpha did not disturb cardiac Ca(2+) homeostasis, because SR Ca(2+) load and the propensity for Ca(2+) waves remained unchanged. These data suggest that PGC-1 alpha can ameliorate cardiac Ca(2+) cycling and improve cardiac work output in response to physiological stress. Unraveling the PGC-1 alpha-calcium handling pathway sheds new light on the role of PGC-1 alpha in the therapy of cardiac diseases.

Energetic myocardial metabolism and oxidative stress: let's make them our friends in the fight against heart failure

Heart failure (HF) is a syndrome causing a huge burden in morbidity and mortality worldwide. Current medical therapies for HF are aimed at suppressing the neurohormonal activation. However, novel therapies are needed for HF, independent of the neurohormonal axis, that can improve cardiac performance and prevent the progression of heart dysfunction. The modulation of cardiac metabolism may represent a new approach to the treatment of HF. The healthy heart converts chemical energy stored in fatty acids (FA) and glucose. Utilization of FA costs more oxygen per unit of ATP generated than glucose, and the heart gets 60-90% of its energy for oxidative phosphorylation from FA oxidation. The failing heart has been demonstrated to be metabolically abnormal, in both animal models and in patients, showing a shift toward an increased glucose uptake and utilization. The manipulation of myocardial substrate oxidation toward greater carbohydrate oxidation and less FA oxidation may improve ventricular performance and slow the progression of heart dysfunction. Impaired mitochondrial function and oxidative phosphorylation can reduce cardiac function by providing an insufficient supply of ATP to cardiomyocytes and by increasing myocardial oxidative stress. Although there are no effective stimulators of oxidative phosphorylation, several classes of drugs have been shown to open mitochondrial K(ATP) channels and, indirectly, to improve cardiac protection against oxidative stress. This article focuses on the energetic myocardial metabolism and oxidative status in the normal and failing heart, and briefly, it overviews the therapeutic potential strategies to improve cardiac energy and oxidative status in HF patients.