Impact of coronary microvascular dysfunction in heart failure with preserved ejection fraction: a meta-analysis.

AIMS: Several mechanisms have been identified in the aetiopathogenesis of heart failure with preserved ejection fraction (HFpEF). Among these, coronary microvascular dysfunction (CMD) may play a key pathophysiological role. We performed a systematic review and meta-analysis to investigate the prevalence, echocardiographic correlates, and prognostic implications of CMD in patients with HFpEF. METHODS AND RESULTS: A systematic search for articles up to 1 May 2023 was performed. The primary aim was to assess the prevalence of CMD. Secondary aims were to compare key echocardiographic parameters (E/e' ratio, left atrial volume index [LAVi], and left ventricular mass index [LVMi]), clinical outcomes [death and hospitalization for heart failure (HF)], and prevalence of atrial fibrillation (AF) between patients with and without CMD. Meta-regressions according to baseline patient characteristics and study features were performed to explore potential heterogeneity sources. We identified 14 observational studies, enrolling 1138 patients with HFpEF. The overall prevalence of CMD was 58%. Compared with patients without CMD, patients with HFpEF and CMD had larger LAVi [mean difference (MD) 3.85 confidence interval (CI) 1.19-6.5, P < 0.01)], higher E/e' ratio (MD 2.76 CI 1.54-3.97; P < 0.01), higher prevalence of AF (odds ratio 1.61 CI 1.04-2.48, P = 0.03) and higher risk of death or hospitalization for HF [hazard ratio 3.19, CI 1.04-9.57, P = 0.04]. CONCLUSIONS: CMD is present in little more than half of the patients with HFpEF and is associated with echocardiographic evidence of more severe diastolic dysfunction and a higher prevalence of AF, doubling the risk of death or HF hospitalization.

GENERATOR HEART FAILURE DataMart: An integrated framework for heart failure research.

Background: Heart failure (HF) is a multifaceted clinical syndrome characterized by different etiologies, risk factors, comorbidities, and a heterogeneous clinical course. The current model, based on data from clinical trials, is limited by the biases related to a highly-selected sample in a protected environment, constraining the applicability of evidence in the real-world scenario. If properly leveraged, the enormous amount of data from real-world may have a groundbreaking impact on clinical care pathways. We present, here, the development of an HF DataMart framework for the management of clinical and research processes. Methods: Within our institution, Fondazione Policlinico Universitario A. Gemelli in Rome (Italy), a digital platform dedicated to HF patients has been envisioned (GENERATOR HF DataMart), based on two building blocks: 1. All retrospective information has been integrated into a multimodal, longitudinal data repository, providing in one single place the description of individual patients with drill-down functionalities in multiple dimensions. This functionality might allow investigators to dynamically filter subsets of patient populations characterized by demographic characteristics, biomarkers, comorbidities, and clinical events (e.g., re-hospitalization), enabling agile analyses of the outcomes by subsets of patients. 2. With respect to expected long-term health status and response to treatments, the use of the disease trajectory toolset and predictive models for the evolution of HF has been implemented. The methodological scaffolding has been constructed in respect of a set of the preferred standards recommended by the CODE-EHR framework. Results: Several examples of GENERATOR HF DataMart utilization are presented as follows: to select a specific retrospective cohort of HF patients within a particular period, along with their clinical and laboratory data, to explore multiple associations between clinical and laboratory data, as well as to identify a potential cohort for enrollment in future studies; to create a multi-parametric predictive models of early re-hospitalization after discharge; to cluster patients according to their ejection fraction (EF) variation, investigating its potential impact on hospital admissions. Conclusion: The GENERATOR HF DataMart has been developed to exploit a large amount of data from patients with HF from our institution and generate evidence from real-world data. The two components of the HF platform might provide the infrastructural basis for a combined patient support program dedicated to continuous monitoring and remote care, assisting patients, caregivers, and healthcare professionals.

A 3-Year Single Center Experience With Left Atrial Pressure Remote Monitoring: The Long and Winding Road.

Background: Despite continuous advancement in the field, heart failure (HF) remains the leading cause of hospitalization among the elderly and the overall first cause of hospital readmission in developed countries. Implantable hemodynamic monitoring is being tested to anticipate the clinical exacerbation onset, potentially preventing an emergent acute decompensation. To date, only pulmonary artery pressure (PAP) sensor received the approval to be implanted in symptomatic heart failure patients with reduced ejection fraction. However, PAP's indirect estimation of left ventricular filling pressure can be inaccurate in some contexts. Methods: The VECTOR-HF study (NCT03775161) is examining the safety, usability and performance of the V-LAP system, a latest-generation device capable of continuously monitoring left atrial pressure (LAP). In our center, five advanced HF patients have been enrolled. After confirmation of the transmitted data reliability, LAP trends and waveforms have guided therapy optimization. The aim of this work is to share clinical insights from our center preliminary experience with V-LAP application. Results: Over a median follow-up time of 18 months, LAP-based therapy optimization managed to reduce intracardiac pressure over time and no hospital readmission occurred. This result was paralleled by an improvement in both functional capacity (6MWT distance 352.5 ± 86.2 meters at baseline to 441.2 ± 125.2 meters at last follow-up) and quality of life indicators (KCCQ overall score 63.82 ± 16.36 vs. 81.92 ± 9.63; clinical score 68.47 ± 19.48 vs. 83.70 ± 15.58). Conclusion: Preliminary evidence from V-LAP application at our institution support a promising efficacy. However, further study is needed to confirm the technical reliability of the device and to exploit the clinical benefit of left-sided hemodynamic remote monitoring.