Remote Monitoring for Heart Failure Management at Home.

Early telemonitoring of weights and symptoms did not decrease heart failure hospitalizations but helped identify steps toward effective monitoring programs. A signal that is accurate and actionable with response kinetics for early re-assessment is required for the treatment of patients at high risk, while signal specifications differ for surveillance of low-risk patients. Tracking of congestion with cardiac filling pressures or lung water content has shown most impact to decrease hospitalizations, while multiparameter scores from implanted rhythm devices have identified patients at increased risk. Algorithms require better personalization of signal thresholds and interventions. The COVID-19 epidemic accelerated transition to remote care away from clinics, preparing for new digital health care platforms to accommodate multiple technologies and empower patients. Addressing inequities will require bridging the digital divide and the deep gap in access to HF care teams, who will not be replaced by technology but by care teams who can embrace it.

Sustained Reduction in Pulmonary Artery Pressures and Hospitalizations During 2 Years of Ambulatory Monitoring.

BACKGROUND: Therapy guided by pulmonary artery (PA) pressure monitoring reduces PA pressures and heart failure hospitalizations (HFH) during the first year, but the durability of efficacy and safety through 2 years is not known. METHODS AND RESULTS: The CardioMEMS Post-Approval Study investigated whether benefit and safety were generalized and sustained. Enrollment at 104 centers in the United States included 1200 patients with NYHA Class III symptoms on recommended HF therapies with prior HFH. Therapy was adjusted toward PA diastolic pressure 8-20 mmHg. Intervention frequency and PA pressure reduction were most intense during first 90 days, with sustained reduction of PA diastolic pressure from baseline 24.7 mmHg to 21.0 at 1 year and 20.8 at 2 years for all patients. Patients completing two year follow-up (n = 710) showed similar 2-year reduction (23.9 to 20.8 mmHg), with reduction in PA mean pressure (33.7 to 29.4 mmHg) in patients with reduced left ventricular ejection. The HFH rate was 1.25 events/patient/year prior to sensor implant, 0.54 at 1 year, and 0.37 at 2 years, with 59% of patients free of HFH during follow-up. CONCLUSIONS: Reduction in PA pressures and hospitalizations were early and sustained during 2 years of PA pressure-guided management, with no signal of safety concerns regarding the implanted sensor.

Lower Rates of Heart Failure and All-Cause Hospitalizations During Pulmonary Artery Pressure-Guided Therapy for Ambulatory Heart Failure: One-Year Outcomes From the CardioMEMS Post-Approval Study.

BACKGROUND: Ambulatory hemodynamic monitoring with an implantable pulmonary artery (PA) sensor is approved for patients with New York Heart Association Class III heart failure (HF) and a prior HF hospitalization (HFH) within 12 months. The objective of this study was to assess the efficacy and safety of PA pressure-guided therapy in routine clinical practice with special focus on subgroups defined by sex, race, and ejection fraction. METHODS: This multi-center, prospective, open-label, observational, single-arm trial of 1200 patients across 104 centers within the United States with New York Heart Association class III HF and a prior HFH within 12 months evaluated patients undergoing PA pressure sensor implantation between September 1, 2014, and October 11, 2017. The primary efficacy outcome was the difference between rates of adjudicated HFH 1 year after compared with the 1 year before sensor implantation. Safety end points were freedom from device- or system-related complications at 2 years and freedom from pressure sensor failure at 2 years. RESULTS: Mean age for the population was 69 years, 37.7% were women, 17.2% were non-White, and 46.8% had preserved ejection fraction. During the year after sensor implantation, the mean rate of daily pressure transmission was 76±24% and PA pressures declined significantly. The rate of HFH was significantly lower at 1 year compared with the year before implantation (0.54 versus 1.25 events/patient-years, hazard ratio 0.43 [95% CI, 0.39-0.47], P<0.0001). The rate of all-cause hospitalization was also lower following sensor implantation (1.67 versus 2.28 events/patient-years, hazard ratio 0.73 [95% CI, 0.68-0.78], P<0.0001). Results were consistent across subgroups defined by ejection fraction, sex, race, cause of cardiomyopathy, presence/absence of implantable cardiac defibrillator or cardiac resynchronization therapy and ejection fraction. Freedom from device- or system-related complications was 99.6%, and freedom from pressure sensor failure was 99.9% at 1 year. CONCLUSIONS: In routine clinical practice as in clinical trials, PA pressure-guided therapy for HF was associated with lower PA pressures, lower rates of HFH and all-cause hospitalization, and low rates of adverse events across a broad range of patients with symptomatic HF and prior HFH. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT02279888.

The role of health literacy, depression, disease knowledge, and self-efficacy in self-care among adults with heart failure: An updated model.

BACKGROUND: Patients with inadequate health literacy and heart failure face high healthcare costs, more hospitalizations, and greater mortality. To address these negative consequences, patients need to improve heart failure self-care. Multiple factors may influence self-care, but the exact model by which they do so is not fully understood. OBJECTIVES: The objective of this study was to examine a model exploring the contribution of health literacy, depression, disease knowledge, and self-efficacy to the performance of heart failure self-care. METHODS: Using a cross-sectional design, patients were recruited from a heart failure clinic and completed validated assessments of their cognition, health literacy, depression, knowledge, self-efficacy and self-care. Patients were separated into two groups according to their health literacy level: inadequate/marginal and adequate. Differences between groups were assessed with an independent t-test. Hypothesized paths and mediated relationships were estimated and tested using observed variable path analysis. RESULTS: Participants (n = 100) were mainly male (67%), white (93%), and at least had a high school education (85%). Health literacy was associated with disease knowledge (path coefficient=0.346, p = 0.002), depression was negatively associated with self-efficacy (path coefficient=-0.211, p = 0.037), self-efficacy was positively associated with self-care (path coefficient=0.402, p<0.0005), and there was evidence that self-efficacy mediated the link between depression and self-care. There was no evidence of: mediation of the link between health literacy and self-care by knowledge or self-efficacy; positive associations between knowledge and self-efficacy or self-care; or mediation of the disease knowledge and self-care relationship by self-efficacy. Further, depression was associated with self-care indirectly rather than also directly as hypothesized. CONCLUSIONS: Self-efficacy and depression are associated with heart failure self-care. Data generated from the model suggest that healthcare professionals should actively engage all patients to gain self-efficacy and address depression to positively affect heart failure self-care.

Stratifying patients at the risk of heart failure hospitalization using existing device diagnostic thresholds.

BACKGROUND: Heart failure hospitalizations (HFHs) cost the US health care system ∼$20 billion annually. Identifying patients at risk of HFH to enable timely intervention and prevent expensive hospitalization remains a challenge. Implantable cardioverter defibrillators (ICDs) and cardiac resynchronization devices with defibrillation capability (CRT-Ds) collect a host of diagnostic parameters that change with HF status and collectively have the potential to signal an increasing risk of HFH. These device-collected diagnostic parameters include activity, day and night heart rate, atrial tachycardia/atrial fibrillation (AT/AF) burden, mean rate during AT/AF, percent CRT pacing, number of shocks, and intrathoracic impedance. There are thresholds for these parameters that when crossed trigger a notification, referred to as device observation, which gets noted on the device report. We investigated if these existing device observations can stratify patients at varying risk of HFH. METHODS: We analyzed data from 775 patients (age: 69 ± 11 year, 68% male) with CRT-D devices followed for 13 ± 5 months with adjudicated HFHs. HFH rate was computed for increasing number of device observations. Data were analyzed by both excluding and including intrathoracic impedance. HFH risk was assessed at the time of a device interrogation session, and all the data between previous and current follow-up sessions were used to determine the HFH risk for the next 30 days. RESULTS: 2276 follow-up sessions in 775 patients were evaluated with 42 HFHs in 37 patients. Percentage of evaluations that were followed by an HFH within the next 30 days increased with increasing number of device observations. Patients with 3 or more device observations were at 42× HFH risk compared to patients with no device observation. Even after excluding intrathoracic impedance, the remaining device parameters effectively stratified patients at HFH risk. CONCLUSION: Available device observations could provide an effective method to stratify patients at varying risk of heart failure hospitalization.

A critical link between heart failure self-care and intrathoracic impedance.

BACKGROUND: Effective self-care is regarded as essential to the management of heart failure (HF). The influence of self-care on HF decompensation, however, is not well understood. Accordingly, we examined the relationship between self-care and fluid accumulation accompanying worsening HF as indexed by decreasing intrathoracic impedance (Z). METHODS: Z data were collected from 58 HF patients with OptiVol enabled devices (Medtronic Inc, Minneapolis, Minnesota). Heart failure self-care was measured with the European Heart Failure Self-care Behaviour Scale. Regression modeling was used to describe the influence of HF self-care on the likelihood of a fluid index (FI) threshold crossing, the number of threshold crossings, and number of days spent above threshold. RESULTS: Patients were elderly (74.98 [SD, 8.12] years), with a mean left ventricular ejection fraction of 26.21% (SD, 9.77%), and 63.7% had class New York Heart Association III HF. Patients were followed up for 317 (SD, 96) days; 65.5% had FI threshold crossings (mean 1.45 [SD, 1.56] crossings), spending an average of 33.8 (SD, 42.4) days above FI threshold. Controlling for age, sex, left ventricular ejection fraction, functional class, and duration of follow-up, each additional point on the European Heart Failure Self-care Behaviour Scale was associated with an increase in the odds of having had an FI threshold crossing (adjusted odds ratio, 1.201; 95% confidence interval, 1.013-1.424; P<.05) and more days spent above FI threshold (incidence rate ratio, 1.051; 95% confidence interval, 1.002-1.102; P<.05). CONCLUSION: Intrathoracic impedance measurements obtained from implantable devices provide important information regarding the influence of self-care on fluid accumulation in patients with HF.