The Prevention of Hospital Readmissions in Heart Failure

Printable Poly(3,4-ethylenedioxythiophene)-Based Conductive Patches for Cardiac Tissue Remodeling

Myocardial cardiopathy is one of the highest disease burdens worldwide. The damaged myocardium has little intrinsic repair ability, and as a result, the distorted muscle loses strength for contraction, producing arrhythmias and fainting, and entails a high risk of sudden death. Permanent implantable conductive hydrogels that can restore contraction strength and conductivity appear to be promising candidates for myocardium functional recovery. In this work, we present a printable cardiac hydrogel that can exert functional effects on networks of cardiac myocytes. The hydrogel matrix was designed from poly(vinyl alcohol) (PVA) dynamically cross-linked with gallic acid (GA) and the conductive polymer poly(3,4-ethylenedioxythiophene) (PEDOT). The resulting patches exhibited excellent electrical conductivity, elasticity, and mechanical and contractile strengths, which are critical parameters for reinforcing weakened cardiac contraction and impulse propagation. Furthermore, the PVA-GA/PEDOT blend is suitable for direct ink writing via a melting extrusion. As a proof of concept, we have proven the efficiency of the patches in propagating the electrical signal in adult mouse cardiomyocytes through in vitro recordings of intracellular Ca2+ transients during cell stimulation. Finally, the patches were implanted in healthy mouse hearts to demonstrate their accommodation and biocompatibility. Magnetic resonance imaging revealed that the implants did not affect the essential functional parameters after 2 weeks, thus showing great potential for treating cardiomyopathies.

Leveraging home health aides to improve outcomes in heart failure: A pilot study protocol

Heart failure (HF) affects six million people in the U.S., is associated with high morbidity, mortality, and healthcare utilization.(1, 2) Despite a decade of innovation, the majority of interventions aimed at reducing hospitalization and readmissions in HF have not been successful.(3-7) One reason may be that most have overlooked the role of home health aides and attendants (HHAs), who are often highly involved in HF care.(8-13) Despite their contributions, studies have found that HHAs lack specific HF training and have difficulty reaching their nursing supervisors when they need urgent help with their patients. Here we describe the protocol for a pilot randomized control trial (pRCT) assessing a novel stakeholder-engaged intervention that provides HHAs with a) HF training (enhanced usual care arm) and b) HF training plus a mobile health application that allows them to chat with a nurse in real-time (intervention arm). In collaboration with the VNS Health of New York, NY, we will conduct a single-site parallel arm pRCT with 104 participants (HHAs) to evaluate the feasibility, acceptability, and effectiveness (primary outcomes: HF knowledge; HF caregiving self-efficacy) of the intervention among HHAs caring for HF patients. We hypothesize that educating and better integrating HHAs into the care team can improve their ability to provide support for patients and outcomes for HF patients as well (exploratory outcomes include hospitalization, emergency department visits, and readmission). This study offers a novel and potentially scalable way to leverage the HHA workforce and improve the outcomes of the patients for whom they care. Clinical trial.gov registration: NCT04239911.

Vulnerability to functional decline is associated with noncardiovascular cause of 90-day readmission in hospitalized patients with heart failure

BACKGROUND

Hospital readmission is common among patients with heart failure. Vulnerability to decline in physical function may increase the risk of noncardiovascular readmission for these patients, but the association between vulnerability and the cause of unplanned readmission is poorly understood, inhibiting the development of effective interventions.

OBJECTIVES

We examined the association of vulnerability with the cause of readmission (cardiovascular vs. noncardiovascular) among hospitalized patients with acute decompensated heart failure.

DESIGNS, SETTINGS, AND PARTICIPANTS

This prospective longitudinal study is part of the Vanderbilt Inpatient Cohort Study.

MAIN OUTCOME AND MEASURES

The primary outcome was the cause of unplanned readmission (cardiovascular vs. noncardiovascular). The primary independent variable was vulnerability, measured using the Vulnerable Elders Survey (VES-13).

RESULTS

Among 804 hospitalized patients with acute decompensated heart failure, 315 (39.2%) experienced an unplanned readmission within 90 days of discharge. In a multinomial logistic model with no readmission as the reference category, higher vulnerability was associated with readmission for noncardiovascular causes (relative risk ratio [RRR] = 1.36, 95% confidence interval [CI]: 1.06-1.75) in the first 90 days after discharge. The VES-13 score was not associated with readmission for cardiovascular causes (RRR = 0.94, 95% CI: 0.75-1.17).

CONCLUSIONS

Vulnerability to functional decline predicted noncardiovascular readmission risk among hospitalized patients with heart failure. The VES-13 is a brief, validated, and freely available tool that should be considered in planning care transitions. Additional work is needed to examine the efficacy of interventions to monitor and mitigate noncardiovascular concerns among vulnerable patients with heart failure being discharged from the hospital.

conTemporary reflectiOns regarding heart failure manaGEmenT - How to ovERcome the PorTuguese barriers (TOGETHER-PT)

INTRODUCTION AND OBJECTIVES

Heart failure (HF) is a complex clinical syndrome that is a significant burden in hospitalisations, morbidity, and mortality. Although a significant effort has been made to better understand its consequences and current barriers in its management, there are still several gaps to address. The present work aimed to identify the views of a multidisciplinary group of health care professionals on HF awareness and literacy, diagnosis, treatment and organization of care, identifying current challenges and providing insights into the future.

METHODS

A steering committee was established, including members of the Heart Failure Study Group of the Portuguese Society of Cardiology (GEIC-SPC), the Heart Failure Study Group of the Portuguese Society of Internal Medicine (NEIC-SPMI) and the Cardiovascular Study Group (GEsDCard) of the Portuguese Association of General and Family Medicine (APMGF). This steering committee produced a 16-statement questionnaire regarding different HF domains that was answered to by a diversified group of 152 cardiologists, internists, general practitioners, and nurses with an interest or dedicated to HF using a five-level Likert scale. Full agreement was defined as ≥80% of level 5 (fully agree) responses.

RESULTS

Globally, consensus was achieved in all but one of the 16 statements. Full agreement was registered in seven statements, namely 3 of 4 statements for patient education and HF awareness and 2 in 4 statements of both HF diagnosis and healthcare organization, with proportions of fully agree responses ranging from 82.9% to 96.7%. None of the HF treatment statements registered full agreement but 3 of 4 achieved ≥80% of level 4 (agree) responses.

CONCLUSION

This document aims to be a call-to-action to improve HF patients' quality of life and prognosis, by promoting a change in HF care in Portugal.

Sprint Team Approach Yields Rapid Improvement in Leapfrog Quality Indicators

GOAL

Patient safety and quality care are two critical areas that every healthcare organization strives to grow and improve upon. At Scripps Health, specific efforts reviewed for this article were implemented to reduce hospital-acquired conditions and hospital readmissions that are components of Centers for Medicare & Medicaid Services programs and Leapfrog Hospital Survey scores.

METHODS

Sprint teams, a novel approach to rapidly develop a checklist for lower-performing care improvement areas, were implemented after an internal review of existing tools and an evidence-based literature review. These areas included catheter-associated urinary tract infections (CAUTIs), central-line associated bloodstream infections (CLABSIs), Clostridioides difficile (C. diff.) and methicillin-resistant Staphylococcus aureus (MRSA) infections, chronic obstructive pulmonary disease (COPD) and heart failure readmissions, surgical site infections and handwashing, bar coding, and the computerized physician order entry components of Leapfrog scoring. The checklist for each area served as a teaching tool for staff and a guideline for case review to ensure that standard work was routinely performed.

PRINCIPAL FINDINGS

The sprint teams showed dramatic results in the initial focus areas. From a baseline standardized infection ratio (SIR) of 1.141 for CLABSIs, the sprint team reduced the SIR to 0.885 in Year 1 of the program and to 0.687 in Year 2. For CAUTIs, the SIR decreased from a baseline of 1.391 in Year 1 to 0.720 in Year 2. C. diff. infections fell from 0.422 to 0.315 in Year 1 and to 0.260 in Year 2. While the MRSA SIR did not improve during the first year, the MRSA reduction sprint team showed success in Year 2 with a decrease in the SIR from 0.537 to 0.245. Readmission reduction sprint teams focused on heart failure, COPD, and total hip and knee complications. The teams also achieved positive results in reducing readmissions by following checklists and reviewing each readmission case for justification.

PRACTICAL APPLICATIONS

Rapid change can be safely and effectively implemented with multidisciplinary sprint teams. Developed with an evidence-based, case review approach, sprint team checklists can help to standardize processes for the review of any infections or readmissions that occur in the inpatient arena.

Natural Language Processing for Adjudication of Heart Failure in a Multicenter Clinical Trial: A Secondary Analysis of a Randomized Clinical Trial

Importance

The gold standard for outcome adjudication in clinical trials is medical record review by a physician clinical events committee (CEC), which requires substantial time and expertise. Automated adjudication of medical records by natural language processing (NLP) may offer a more resource-efficient alternative but this approach has not been validated in a multicenter setting.

Objective

To externally validate the Community Care Cohort Project (C3PO) NLP model for heart failure (HF) hospitalization adjudication, which was previously developed and tested within one health care system, compared to gold-standard CEC adjudication in a multicenter clinical trial.

Design, Setting, and Participants

This was a retrospective analysis of the Influenza Vaccine to Effectively Stop Cardio Thoracic Events and Decompensated Heart Failure (INVESTED) trial, which compared 2 influenza vaccines in 5260 participants with cardiovascular disease at 157 sites in the US and Canada between September 2016 and January 2019. Analysis was performed from November 2022 to October 2023.

Exposures

Individual sites submitted medical records for each hospitalization. The central INVESTED CEC and the C3PO NLP model independently adjudicated whether the cause of hospitalization was HF using the prepared hospitalization dossier. The C3PO NLP model was fine-tuned (C3PO + INVESTED) and a de novo NLP model was trained using half the INVESTED hospitalizations.

Main Outcomes and Measures

Concordance between the C3PO NLP model HF adjudication and the gold-standard INVESTED CEC adjudication was measured by raw agreement, κ, sensitivity, and specificity. The fine-tuned and de novo INVESTED NLP models were evaluated in an internal validation cohort not used for training.

Results

Among 4060 hospitalizations in 1973 patients (mean [SD] age, 66.4 [13.2] years; 514 [27.4%] female and 1432 [72.6%] male]), 1074 hospitalizations (26%) were adjudicated as HF by the CEC. There was good agreement between the C3PO NLP and CEC HF adjudications (raw agreement, 87% [95% CI, 86-88]; κ, 0.69 [95% CI, 0.66-0.72]). C3PO NLP model sensitivity was 94% (95% CI, 92-95) and specificity was 84% (95% CI, 83-85). The fine-tuned C3PO and de novo NLP models demonstrated agreement of 93% (95% CI, 92-94) and κ of 0.82 (95% CI, 0.77-0.86) and 0.83 (95% CI, 0.79-0.87), respectively, vs the CEC. CEC reviewer interrater reproducibility was 94% (95% CI, 93-95; κ, 0.85 [95% CI, 0.80-0.89]).

Conclusions and Relevance

The C3PO NLP model developed within 1 health care system identified HF events with good agreement relative to the gold-standard CEC in an external multicenter clinical trial. Fine-tuning the model improved agreement and approximated human reproducibility. Further study is needed to determine whether NLP will improve the efficiency of future multicenter clinical trials by identifying clinical events at scale.

Association between performance measures and clinical outcomes in patients with heart failure in China: Results from the HERO study

BACKGROUND

There is great heterogeneity in the quality of care among hospitals in China, but studies on the performance measures and prognosis of patients with heart failure (HF) are still deficient.

HYPOTHESIS

Performance measures have been used as a guideline to clinicans, however, the association between them and outcomes among HF patients in China remains unclear.

METHODS

We analyzed 4497 patients with HF from the Heart Failure Registry of Patient Outcomes study. Performance measures were determined according to the guidelines, and the patients were divided into four groups based on a composite performance score. Multiple imputation and Cox proportional-hazard regression models were used to assess the association between the performance measures and clinical outcomes.

RESULTS

Overall, only 12.5% of patients met the top 25% of the performance measures, whereas 33.5% of patients met the bottom 25% of the measures. A total of 992 (22.2%) patients died within 1 year, involving a larger proportion of patients who had met only the bottom 25% of the performance measures than had met the top 25% (27.0% vs. 16.3%, respectively). The patients who met the top 25% of the measures had a lower 1-year mortality rate (adjusted hazard ratio: 0.78, 95% confidence interval: 0.61-0.98).

CONCLUSIONS

The association between performance measures and mortality appeared to follow a dose-response pattern with a larger degree of compliance with performance measures being associated with a lower mortality rate in patients with HF. Accordingly, the quality of care for patients with HF in China needs to be further improved.

Recurrent heart failure hospitalizations in heart failure with preserved ejection fraction: an analysis of TOPCAT trial

AIMS

Recurrent heart failure hospitalization (HFH) is an important feature of the progression of heart failure (HF). In the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial, we analysed risk factors for recurrent HFH events in HF patients with preserved ejection fraction (HFpEF) and developed a risk prediction model for recurrent HFH.

METHODS AND RESULTS

This analysis focused on the subset of TOPCAT participants enrolled in the Americas (n = 1767). Recurrent HFH was defined as two or more hospitalizations for HF during the follow-up period. Lasso regression and multivariate logistic regression were used to screen the risk factors, and the risk prediction model of recurrent HFH was established. During a median follow-up period of 3.4 (95% confidence interval: 3.3-3.6) years, 72.2% (542 of 751 total hospitalizations) of HFH events occurred in 9.4% (n = 163) of patients with recurrent HFHs. Patients in the recurrent HFH group had higher cardiovascular mortality rate [6.2 per 100 patient-years (PY) vs. 3.8 per 100 PY, P = 0.016] and all-cause mortality rate (10.0 per 100 PY vs. 6.8 per 100 PY, P = 0.015) than those in the non-recurrent HFH group. The model consisting of nine predictors has moderate predictive power for recurrent HFH events in patients with HFpEF (AUC = 0.75, Brier score = 0.08). Decision curve analysis showed a net clinical benefit from the application of the prediction model.

CONCLUSIONS

In patients with HFpEF, the majority of HFHs occur in a small proportion of patients with repeated hospitalizations, who typically have more comorbidities and are at higher risk of death. The predictive model developed in this study helps to identify patients at high risk of recurrent HFH.

Post-hospitalization remote monitoring for patients with heart failure or chronic obstructive pulmonary disease in an accountable care organization

BACKGROUND

Post-hospitalization remote patient monitoring (RPM) has potential to improve health outcomes for high-risk patients with chronic medical conditions. The purpose of this study is to determine the extent to which RPM for patients with congestive heart failure (CHF) and chronic obstructive pulmonary disease (COPD) is associated with reductions in post-hospitalization mortality, hospital readmission, and ED visits within an Accountable Care Organization (ACO).

METHODS

Nonrandomized prospective study of patients in an ACO offered enrollment in RPM upon hospital discharge between February 2021 and December 2021. RPM comprised of vital sign monitoring equipment (blood pressure monitor, scale, pulse oximeter), tablet device with symptom tracking software and educational material, and nurse-provided oversight and triage. Expected enrollment was for at least 30-days of monitoring, and outcomes were followed for 6 months following enrollment. The co-primary outcomes were (a) the composite of death, hospital admission, or emergency care visit within 180 days of eligibility, and (b) time to occurrence of this composite. Secondary outcomes were each component individually, the composite of death or hospital admission, and outpatient office visits. Adjusted analyses involved doubly robust estimation to address confounding by indication.

RESULTS

Of 361 patients offered remote monitoring (251 with CHF and 110 with COPD), 140 elected to enroll (106 with CHF and 34 with COPD). The median duration of RPM-enrollment was 54 days (IQR 34-85). Neither the 6-month frequency of the co-primary composite outcome (59% vs 66%, FDR p-value = 0.47) nor the time to this composite (median 29 vs 38 days, FDR p-value = 0.60) differed between the groups, but 6-month mortality was lower in the RPM group (6.4% vs 17%, FDR p-value = 0.02). After adjustment for confounders, RPM enrollment was associated with nonsignificantly decreased odds for the composite outcome (adjusted OR [aOR] 0.68, 99% CI 0.25-1.34, FDR p-value 0.30) and lower 6-month mortality (aOR 0.41, 99% CI 0.00-0.86, FDR p-value 0.20).

CONCLUSIONS

RPM enrollment may be associated with improved health outcomes, including 6-month mortality, for selected patient populations.

Remote Monitoring Devices and Heart Failure

Remote patient monitoring (RPM) in patients with heart failure (HF) involves transmitting physiological data from devices to a health-care provider via a wireless connection with targeted interventions when values exceed the preset threshold. Devices used in telemonitoring range from weighing scales, blood pressure cuffs, and pulse oximeters to devices used to measure cardiac filling pressure and intrathoracic impedance using cardiac implantable electronic devices and wearables. Accordingly, RPM devices can potentially engage patients in their cardiovascular care and reduce the burden of HF in society.

30- and 60-Day Readmission Rates for Children With Heart Failure in the United States

BACKGROUND

Studies on readmission for pediatric heart failure (HF) patients is sparse.

OBJECTIVES

This study evaluated 30- and 60-day readmission rates in pediatric HF patients from 2010 to 2019.

METHODS

The authors used data from the Nationwide Readmission Database to evaluate trends in 30- and 60-day hospital readmissions among pediatric patients with HF and compare them with adults with HF. Readmissions were also stratified by sex, diagnosis, neighborhood income, and hospital volume.

RESULTS

There were 84,731 hospital admissions for HF. Compared with children without HF, those with HF were older, had Medicare/Medicaid insurance, and resided in micropolitan areas and low-income neighborhoods. The 30- (19.5% vs 3.1%) and 60-day (27.5% vs 4.3%) all-cause readmission rates were higher for children with HF compared with those without HF. Compared with children without HF, lengths of stay, deaths, and costs related to their readmission were higher for children readmitted with HF (P < 0.05 for all). There was no significant decline in pediatric HF-related 30- or 60- day readmissions during the study period overall, or for those with congenital heart disease (P > 0.05), unlike adult HF readmissions (P < 0.01). Infants were at highest risk, and readmission rates for teenagers are rising.

CONCLUSIONS

The 30- and 60-day readmission rates for pediatric patients with HF in the current era is high (∼20% and 30%, respectively). Unlike adult HF, pediatric HF readmission rates have not declined. Pediatric HF patients readmitted to the hospital have higher death rates and greater resource utilization than patients without HF. National measures to decrease readmissions for pediatric patients with HF is warranted.

Understanding the Burden of 30-Day Readmission in Patients With Both Primary and Secondary Diagnoses of Heart Failure: Causes, Timing, and Impact of Co-Morbidities

Although efforts to reduce 30-day readmission rates have mainly focused on patients with heart failure (HF) as a primary diagnosis at index hospitalization, patients with HF as a secondary diagnosis remain common, costly, and understudied. This study aimed to determine the incidence, etiology, and patterns of 30-day readmissions after discharge for HF as a primary and secondary diagnosis and investigate the impact of co-morbidities on HF readmission. The National Readmission Database from 2014 to 2016 was used to identify HF patients with a linked 30-day readmission. Patient and hospital characteristics, admission features, and Elixhauser-related co-morbidities were compared between the 2 groups. Readmitted patients in both groups were younger, male, with lower household income, higher mortality risk, and higher hospitalization costs. Over 60% of readmissions were for reasons other than HF, and greater than 1/3 had more than 2 readmissions within 30 days, with a median time to readmission of 12 days. Both cohorts had high readmission rates and high rates of readmission for causes other than HF. Our findings suggest that efforts to reduce 30-day readmission rates should be extended to patients with secondary HF diagnosis, with surveillance extending to 2 weeks postdischarge to identify patients at risk.

Heart failure management at home: a non-randomised prospective case-controlled trial (HeMan at Home)

BACKGROUND/OBJECTIVES

Heart failure (HF) is a growing clinical and economic burden for patients and health systems. The COVID-19 pandemic has led to avoidance and delay in care, resulting in increased morbidity and mortality among many patients with HF. The increasing burden of HF during the COVID-19 pandemic led us to evaluate the quality and safety of the Hospital at Home (HAH) for patients presenting to their community providers or emergency department (ED) with symptoms of acute on chronic HF (CHF) requiring admission.

DESIGN/OUTCOMES

A non-randomised prospective case-controlled of patients enrolled in the HAH versus admission to the hospital (usual care, UC). Primary outcomes included length of stay (LOS), adverse events, discharge disposition and patient satisfaction. Secondary outcomes included 30-day readmission rates, 30-day ED usage and ED dwell time.

RESULTS

Sixty patients met inclusion/exclusion criteria and were included in the study. Of the 60 patients, 40 were in the HAH and 20 were in the UC group. Primary outcomes demonstrated that HAH patients had slightly longer LOS (6.3 days vs 4.7 days); however, fewer adverse events (12.5% vs 35%) compared with the UC group. Those enrolled in the HAH programme were less likely to be discharged with postacute services (skilled nursing facility or home health). HAH was associated with increased patient satisfaction compared with Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) score in North Carolina. Secondary outcomes of 30-day readmission and ED usage were similar between HAH and UC.

CONCLUSIONS

The HAH pilot programme was shown to be a safe and effective alternative to hospitalisation for the appropriately selected patient presenting with acute on CHF.

Mortality Increased Among Hospitalized Patients with Cirrhosis Before and Following Different Waves of the COVID-19 Pandemic

BACKGROUND

The Coronavirus disease 2019 (COVID-19) pandemic disrupted patient care and worsened the morbidity and mortality of some chronic diseases. The impact of the COVID-19 pandemic on hospitalizations and outcomes in patients with cirrhosis both before and during different time periods of the pandemic has not been evaluated.

AIMS

Describe characteristics of hospitalized patients with cirrhosis and evaluate inpatient mortality and 30-day readmission before and after the start of the COVID-19 pandemic.

METHODS

Retrospective single-center cohort study of all hospitalized patients with cirrhosis from 2018 to 2022. Time periods within the COVID-19 pandemic were defined using reference data from the World Health Organization and Centers for Disease Control. Adjusted odds ratios from logistic regression were used to assess differences between periods.

RESULTS

33,926 unique hospitalizations were identified. Most patients were over age 60 years across all time periods of the pandemic. More Hispanic patients were hospitalized during COVID-19 than before COVID-19. Medicare and Medicaid are utilized less frequently during COVID-19 than before COVID-19. After controlling for age and gender, inpatient mortality was significantly higher during all COVID-19 periods except Omicron compared to before COVID-19. The odds of experiencing a 30-day readmission were 1.2 times higher in the pre-vaccination period compared to the pre-COVID-19 period.

CONCLUSION

Inpatient mortality among patients with cirrhosis has increased during the COVID-19 pandemic compared to before COVID-19. Although COVID-19 infection may have had a small direct pathologic effect on the natural history of cirrhotic liver disease, it is more likely that other factors are impacting this population.

Association Between Participation in a Heart Failure Telemonitoring Program and Health Care Utilization and Death Within an Integrated Health Care Delivery System

BACKGROUND

The clinical usefulness of remote telemonitoring to reduce postdischarge health care use and death in adults with heart failure (HF) remains controversial.

METHODS AND RESULTS

Within a large integrated health care delivery system, we matched patients enrolled in a postdischarge telemonitoring intervention from 2015 to 2019 to patients not receiving telemonitoring at up to a 1:4 ratio on age, sex, and calipers of a propensity score. Primary outcomes were readmissions for worsening HF and all-cause death within 30, 90, and 365 days of the index discharge; secondary outcomes were all-cause readmissions and any outpatient diuretic dose adjustments. We matched 726 patients receiving telemonitoring to 1985 controls not receiving telemonitoring, with a mean age of 75 ± 11 years and 45% female. Patients receiving telemonitoring did not have a significant reduction in worsening HF hospitalizations (adjusted rate ratio [aRR] 0.95, 95% confidence interval [CI] 0.68-1.33), all-cause death (adjusted hazard ratio 0.60, 95% CI 0.33-1.08), or all-cause hospitalization (aRR 0.82, 95% CI 0.65-1.05) at 30 days, but did have an increase in outpatient diuretic dose adjustments (aRR 1.84, 95% CI 1.44-2.36). All associations were similar at 90 and 365 days postdischarge.

CONCLUSIONS

A postdischarge HF telemonitoring intervention was associated with more diuretic dose adjustments but was not significantly associated with HF-related morbidity and mortality.

Predictors of 30-Day Readmission in Patients Hospitalized With Heart Failure as a Primary Versus Secondary Diagnosis

Short-term rehospitalizations are common, costly, and detrimental to patients with heart failure (HF). Current research and policy have focused primarily on 30-day readmissions for patients with HF as a primary diagnosis at index hospitalization, whereas a much larger population of patients are admitted with HF as a secondary diagnosis. This study aims to compare patients initially hospitalized for HF as either a primary or a secondary diagnosis, and to identify the most important factors in predicting 30-day readmission. Patients admitted with HF between 2014 and 2016 in the Nationwide Readmissions Database were included and divided into 2 cohorts: those admitted with a primary and secondary diagnosis of HF. Multivariable logistic regression was performed to predict 30-day readmission. Statistically significant predictors in multivariable logistic regression were used for dominance analysis to rank these factors by relative importance. Co-morbidities were the major driver of increased risk of 30-day readmission in both groups. Individual Elixhauser co-morbidities and the Elixhauser co-morbidity indexes were significantly associated with an increase in 30-day readmission. The 5 most important predictors of 30-day readmission according to dominance analysis were age, Elixhauser co-morbidity indexes of co-morbidity complications and readmission, number of diagnoses, and renal failure. These 5 factors accounted for 68% of the 30-day readmission risk. Measures of patient co-morbidities were among the strongest predictors of readmission risk. This study highlights the importance of expanding predictive models to include a broader set of clinical measures to create better-performing models of readmission risk for HF patients.

Safety and Performance of the Aortix Device in Acute Decompensated Heart Failure and Cardiorenal Syndrome

BACKGROUND

Cardiorenal syndrome (CRS) complicates 33% of acute decompensated heart failure (ADHF) admissions, and patients with persistent congestion at discharge have high 30-day event rates.

OBJECTIVES

The purpose of this study was to evaluate a novel catheter-deployed intra-aortic entrainment pump (IAEP) in patients with ADHF with CRS and persistent congestion.

METHODS

A multicenter (n = 14), nonrandomized, single-arm, safety and feasibility study of IAEP therapy was conducted. Within patient changes (post-pre IAEP therapy) in fluid loss, hemodynamics, patient-reported dyspnea, and serum biomarkers were assessed using Wilcoxon signed-rank testing.

RESULTS

Of 21 enrolled patients, 18 received Aortix therapy. Mean ± SD patient age was 60.3 ± 7.9 years. The median left ventricular ejection fraction was 22.5% (25th-75th percentile: 10.0%-53.5%); 27.8% had a left ventricular ejection fraction ≥50%. Pre-therapy, patients received 8.7 ± 4.1 days of loop diuretic agents and 44% were on inotropes. Pump therapy averaged 4.6 ± 1.6 days, yielding net fluid losses of 10.7 ± 6.5 L (P < 0.001) and significant (P < 0.01) reductions in central venous pressure (change from baseline: -8.5 mm Hg [25th-75th percentile: -3.5 to -10.0 mm Hg]), pulmonary capillary wedge pressure (-11.0 mm Hg [25th-75th percentile: -5.0 to -14.0 mm Hg]), and serum creatinine (-0.2 mg/dL [25th-75th percentile: -0.1 to -0.5 mg/dL]) with improved estimated glomerular filtration rate (+5.0 mL/min/1.73 m2 [25th-75th percentile: 2.0-9.0 mL/min/1.73 m2]) and patient-reported dyspnea score (+16 [25th-75th percentile: 3-37]). Dyspnea scores, natriuretic peptides, and renal function improvements persisted through 30 days.

CONCLUSIONS

This pilot study of patients with ADHF, persistent congestion, and worsening renal function due to CRS supports the potential for safely achieving decongestion using IAEP therapy. These initial promising results provide the basis for future randomized clinical trials of this novel pump. (An Evaluation of the Safety and Performance of the Aortix System for Intra-Aortic Mechanical Circulatory Support in Patients with Cardiorenal Syndrome [The Aortix CRS Pilot Study]; NCT04145635).

Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model

OBJECTIVES

Little is known about proactive risk assessment concerning emergency department (ED) visits and hospitalizations in patients with heart failure (HF) who receive home healthcare (HHC) services. This study developed a time series risk model for predicting ED visits and hospitalizations in patients with HF using longitudinal electronic health record data. We also explored which data sources yield the best-performing models over various time windows.

MATERIALS AND METHODS

We used data collected from 9362 patients from a large HHC agency. We iteratively developed risk models using both structured (eg, standard assessment tools, vital signs, visit characteristics) and unstructured data (eg, clinical notes). Seven specific sets of variables included: (1) the Outcome and Assessment Information Set, (2) vital signs, (3) visit characteristics, (4) rule-based natural language processing-derived variables, (5) term frequency-inverse document frequency variables, (6) Bio-Clinical Bidirectional Encoder Representations from Transformers variables, and (7) topic modeling. Risk models were developed for 18 time windows (1-15, 30, 45, and 60 days) before an ED visit or hospitalization. Risk prediction performances were compared using recall, precision, accuracy, F1, and area under the receiver operating curve (AUC).

RESULTS

The best-performing model was built using a combination of all 7 sets of variables and the time window of 4 days before an ED visit or hospitalization (AUC = 0.89 and F1 = 0.69).

DISCUSSION AND CONCLUSION

This prediction model suggests that HHC clinicians can identify patients with HF at risk for visiting the ED or hospitalization within 4 days before the event, allowing for earlier targeted interventions.

DASH-HF Study: A Pragmatic Quality Improvement Randomized Implementation Trial for Patients With Heart Failure With Reduced Ejection Fraction

BACKGROUND

Heart failure is a prevailing diagnosis of hospitalization and readmission within 6 months, and nearly a quarter of these patients die within a year. Guideline-directed medication therapies reduce risk of mortality by 73% over 2 years; however, the implementation of these therapies to their target dose in clinical practice continues to be challenging. In 2020, the Veterans Affairs (VA) Health Care System developed a HF dashboard to monitor and improve outpatient HF management. The DASH-HF (Dashboard Activated Services and Telehealth for Heart Failure) study is a randomized, pragmatic clinical trial to evaluate proactive dashboard-directed telehealth clinics to improve the use and dosing of guideline-directed medication therapy for patients with heart failure with reduced ejection fraction not on optimal guideline-directed medication therapy within the VA.

METHODS

Three hundred veterans with heart failure with reduced ejection fraction met inclusion criteria with an optimization potential score (OPS) of 5 or less out of 10, representing nonoptimal guideline-directed medication therapy. The primary outcome was a composite score of guideline-directed medical therapy, the OPS, 6 months after the end of the intervention. Secondary outcomes included active prescriptions for each individual guideline-directed medical therapy class, HF-related hospitalizations, deaths, and clinician time per patient during the intervention clinics.

RESULTS

There was no significant difference between the intervention arm and usual care group in the primary outcome (OPS, 2.9; SD=2.1 versus OPS, 2.6, SD=2.1); adjusted mean difference 0.3 (95% CI, -0.1 to 0.7) or in the prespecified secondary outcomes for hospitalization and all-cause mortality for the intervention of proactive dashboard-based clinics.

CONCLUSIONS

A dashboard-based clinic intervention did not improve the OPS or secondary outcomes of hospitalization and all-cause mortality. There remains a larger opportunity to better target patients and provide more intensive follow-up to further evaluate the utility of proactive dashboard-based clinics for HF management and quality improvement.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT05001165.

Cardio SEM: A Novel Approach for a Traffic Light System for Heart Failure Warning Signs

Existing literature on the follow-up of heart failure patients with warning signs shows that it is necessary to increase patients' knowledge and of seeking help in a timely manner. This suggests an opportunity to implement strategies that integrate technology to visualize the risk of decompensation. This article studies the acceptance of Cardio Sem, a traffic light system mobile application for patients with heart failure. A descriptive, observational pilot study was performed with 23 outpatients belonging to a heart failure program. For 4 weeks, patients used Cardio Sem, which allows visualizing the risk of decompensation through a series of questions that patients must answer daily and provides guidance for managing signs and symptoms of decompensation. A technology acceptance questionnaire was applied to all patients, resulting in acceptance of the application, especially in the dimensions that emphasized perceived usefulness (100%), social influence (100%), and behavioral intent (99.8%). Cardio Sem is useful for early detection of symptoms that allow for early response to complications. Acceptance of the application by patients and its ease of use present the possibility to implement it as a complementary tool to promote self-care and effective management of symptoms.

Feasibility, Acceptability, and Intervention Description of a Mobile Health Intervention in Patients With Heart Failure

Mobile health (mHealth) is used to encourage and support self-management skills in patients with heart failure. The purpose of the study was to describe the feasibility, fidelity, usability, and acceptability of mHealth interventions. This pilot study used a randomized 3-group (enhanced usual care, mHealth, and mHealth plus, which included a nurse practitioner and community health worker) repeated-measure design to determine the feasibility of using a self-management behavior app and a Bluetooth-enabled scale for daily self-monitoring of weights and medications. In the 2 mHealth groups, of the 48 patients, 38 (79%) engaged partially in recording daily weights and medications, and of the 74 patients in the sample, we obtained partial to complete data on 63 (85%) of the patients during follow-up outcome phone calls. Most patients found the intervention to be feasible, usable, and acceptable, and (93%) patients in the mHealth group and 100% of patients in the mHealth plus group agreed or strongly agreed that they learned how to self-manage their heart failure using the app. The intervention was reasonable to implement and provided insight for future intervention improvements.

Benefits and Harms of Digital Health Interventions Promoting Physical Activity in People With Chronic Conditions: Systematic Review and Meta-Analysis

BACKGROUND

Digital health interventions for managing chronic conditions have great potential. However, the benefits and harms are still unclear.

OBJECTIVE

This systematic review and meta-analysis aimed to investigate the benefits and harms of digital health interventions in promoting physical activity in people with chronic conditions.

METHODS

We searched the MEDLINE, Embase, CINAHL, and Cochrane Central Register of Controlled Trials databases from inception to October 2022. Eligible randomized controlled trials were included if they used a digital component in physical activity promotion in adults with ≥1 of the following conditions: depression or anxiety, ischemic heart disease or heart failure, chronic obstructive pulmonary disease, knee or hip osteoarthritis, hypertension, or type 2 diabetes. The primary outcomes were objectively measured physical activity and physical function (eg, walk or step tests). We used a random effects model (restricted maximum likelihood) for meta-analyses and meta-regression analyses to assess the impact of study-level covariates. The risk of bias was assessed using the Cochrane Risk of Bias 2 tool, and the certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation.

RESULTS

Of 14,078 hits, 130 randomized controlled trials were included. Compared with usual care or minimal intervention, digital health interventions increased objectively measured physical activity (end of intervention: standardized mean difference [SMD] 0.29, 95% CI 0.21-0.37; follow-up: SMD 0.17, 95% CI 0.04-0.31) and physical function (end of intervention: SMD 0.36, 95% CI 0.12-0.59; follow-up: SMD 0.29, 95% CI 0.01-0.57). The secondary outcomes also favored the digital health interventions for subjectively measured physical activity and physical function, depression, anxiety, and health-related quality of life at the end of the intervention but only subjectively measured physical activity at follow-up. The risk of nonserious adverse events, but not serious adverse events, was higher in the digital health interventions at the end of the intervention, but no difference was seen at follow-up.

CONCLUSIONS

Digital health interventions improved physical activity and physical function across various chronic conditions. Effects on depression, anxiety, and health-related quality of life were only observed at the end of the intervention. The risk of nonserious adverse events is present during the intervention, which should be addressed. Future studies should focus on better reporting, comparing the effects of different digital health solutions, and investigating how intervention effects are sustained beyond the end of the intervention.

TRIAL REGISTRATION

PROSPERO CRD42020189028; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=189028.

A Qualitative Study on the Self-Care Experiences of People with Heart Failure

We aimed to explore in-depth experiences and emotions of people with heart failure within the context of self-care. A qualitative descriptive study was conducted using semi-structured interviews. Ten patients were recruited from an outpatient clinic at a university-affiliated hospital in South Korea between September and November 2019. Data were analyzed using a thematic content analysis approach. Participants were 68-86 years old, and 80% were men. Five themes of the self-care experiences of persons with heart failure were identified: "Suddenly diagnosed with heart failure," "Unpredictable symptoms and unprepared for self-care," "Dependent on caring family on a heartbreaking uphill," "Self-care efforts with apprehension," and "Continued self-care efforts with expert help." Programs to support self-care for people with heart failure are needed and should be developed by incorporating patients' needs and reflecting their uncertainty and vulnerability.

Disparities in Postdischarge Ambulatory Care Follow-Up Among Medicaid Beneficiaries With Diabetes, Hospitalized for Heart Failure

Background Ambulatory follow-up for all patients with heart failure (HF) is recommended within 7 to 14 days after hospital discharge to improve HF outcomes. We examined postdischarge ambulatory follow-up of patients with comorbid diabetes and HF from a low-income population in primary and specialty care. Methods and Results Adults with diabetes and first hospitalizations for HF, covered by Alabama Medicaid in 2010 to 2019, were included and the claims analyzed for ambulatory care use (any, primary care, cardiology, or endocrinology) within 60 days after discharge using restricted mean survival time regression and negative binomial regression. Among 9859 Medicaid-covered adults with diabetes and first hospitalization for HF (mean age, 53.7 years; SD, 9.2 years; 47.3% Black; 41.8% non-Hispanic White; 10.9% Hispanic/Other [Other included non-White Hispanic, American Indian, Pacific Islander and Asian adults]; 65.4% women, 34.6% men), 26.7% had an ambulatory visit within 0 to 7 days, 15.2% within 8 to 14 days, 31.3% within 15 to 60 days, and 26.8% had no visit; 71% saw a primary care physician and 12% a cardiology physician. Black and Hispanic/Other adults were less likely to have any postdischarge ambulatory visit (P<0.0001) or the visit was delayed (by 1.8 days, P=0.0006 and by 2.8 days, P=0.0016, respectively) and were less likely to see a primary care physician than non-Hispanic White adults (adjusted incidence rate ratio, 0.96 [95% CI, 0.91-1.00] and 0.91 [95% CI, 0.89-0.98]; respectively). Conclusions More than half of Medicaid-covered adults with diabetes and HF in Alabama did not receive guideline-concordant postdischarge care. Black and Hispanic/Other adults were less likely to receive recommended postdischarge care for comorbid diabetes and HF.

The Impact of Cocaine Use and the Obesity Paradox in Patients With Heart Failure With Reduced Ejection Fraction Due to Non-ischemic Cardiomyopathy

Background Obesity and illicit drugs are independent risk factors for developing heart failure (HF). However, recent studies have suggested that patients who already have HF and are obese have better clinical outcomes. We aim to study the effect of cocaine use on this obesity paradox phenomenon as it pertains to HF readmissions. Methodology In a retrospective chart analysis, we reviewed patients with a diagnosis of HF with reduced ejection fraction (HFrEF) admitted to Metropolitan Hospital in New York. We studied the association between body mass index (BMI) categories, namely, non-obese (<30 kg/m2) and obese (≥30 kg/m2), cocaine use, and the primary outcome (time to readmission for HF within 30 days after discharge). The interaction between cocaine and obesity status and its association with the primary outcome was also assessed. Results A total of 261 patients were identified. Non-obese status and cocaine use were associated with an increased hazard of readmission in 30 days (hazard ratio (HR) = 2.28, p = 0.049 and HR = 3.12, p = 0.004, respectively). Furthermore, cocaine users who were non-obese were over six times more likely to be re-admitted in 30 days compared to non-cocaine users who were obese (HR = 6.45, p = 0.0002). Conclusions Non-obese status and continued use of cocaine have a negative additive effect in impacting HF readmissions.

Predictors of Hospital Readmission After Motor Vehicle Crash: Prospective Cohort Study

BACKGROUND

Motor vehicle crash (MVC) is a major public health problem worldwide and contributes to a large burden of death, disability, and economic loss.

OBJECTIVE

To identify the predictors of hospital readmission in victims of MVC within 1 year after discharge.

METHODS

A prospective cohort study conducted with individuals who suffered MVC admitted to a regional hospital and who were followed up for 12 months after discharge. Predictors of hospital readmission were verified by means of Poisson regression models with robust variance, using a hierarchical conceptual model.

RESULTS

Of the 241 patients followed up, 200 were contacted and comprised the population of this study. Of these, 50 (25.0%) reported hospital readmission during the 12-month period after discharge. It was evidenced that being male (relative risk [RR] = 0.58; 95% CI [0.36, 0.95], p = .033) was a protective factor, whereas occurrences of greater severity (RR = 1.77; 95% CI [1.03, 3.02], p = .036), not receiving pre-hospital care (RR = 2.14; 95% CI [1.24, 3.69], p = .006), the occurrence of postdischarge infection (RR = 2.14; 95% CI [1.37, 3.36], p = .001), and having access to rehabilitation treatment (RR = 1.64; 95% CI [1.03, 2.62], p≤ .001) are configured as risk factors for hospital readmission in individuals who have suffered these events.

CONCLUSION

It was found that gender, trauma severity, pre-hospital care, postdischarge infection, and rehabilitation treatment variables predict hospital readmission in MVC victims within 1 year after discharge.

Trends in and predictors of multiple readmissions following heart failure hospitalization: A National wide analysis from the United States

BACKGROUND

Readmission following Heart failure (HF) hospitalization is common: 25% are readmitted within a month of discharge and ≈50% within 6 months. A small proportion of these patients can have multiple readmissions within this period, adding disproportionately to the health care costs. In this study, we assessed the trends, predictors and costs associated with multiple readmissions using National readmissions database (NRD).

METHODS

We queried NRD for HF hospitalizations from 2010 to 2018 using ICD-9/10-CM codes. Multinomial logistic regression was used to compare readmission cohorts, with the multivariable model adjusting for other factors. All analyses accounted for the NRD sampling design were conducted using SAS v. 9.4 with p < 0.05 used to indicate statistical significance.

RESULTS

Within the study period, an estimated 6,763,201 HF hospitalizations were identified. Of these, 58% had no readmission; 26% had 1 readmission; and 16% had ≥2 readmissions within 90 days of index hospitalization. There was no statistically significant change in readmission rates during the observation period. Multiple readmissions which accounted for 37% of all readmissions contributed to 57% of readmission costs. Younger age was identified as a predictor of multiple readmissions while sex, comorbidities and the type of insurance were not significantly different from those with single readmission.

CONCLUSIONS

Multiple readmissions in HF are common (16%), have remained unchanged between 2010 and 2018 and impose a significant health care cost burden. Future research should focus on identifying these patients for targeted intervention that may minimize excessive readmissions particularly in those patients who are in the palliation phase of HF.

Predicting Six-Month Re-Admission Risk in Heart Failure Patients Using Multiple Machine Learning Methods: A Study Based on the Chinese Heart Failure Population Database

Since most patients with heart failure are re-admitted to the hospital, accurately identifying the risk of re-admission of patients with heart failure is important for clinical decision making and management. This study plans to develop an interpretable predictive model based on a Chinese population for predicting six-month re-admission rates in heart failure patients. Research data were obtained from the PhysioNet portal. To ensure robustness, we used three approaches for variable selection. Six different machine learning models were estimated based on selected variables. The ROC curve, prediction accuracy, sensitivity, and specificity were used to evaluate the performance of the established models. In addition, we visualized the optimized model with a nomogram. In all, 2002 patients with heart failure were included in this study. Of these, 773 patients experienced re-admission and a six-month re-admission incidence of 38.61%. Based on evaluation metrics, the logistic regression model performed best in the validation cohort, with an AUC of 0.634 (95%CI: 0.599-0.646) and an accuracy of 0.652. A nomogram was also generated. The established prediction model has good discrimination ability in predicting. Our findings are helpful and could provide useful information for the allocation of healthcare resources and for improving the quality of survival of heart failure patients.

Exploring Health Literacy Categories in Patients With Heart Failure: A Latent Class Analysis

BACKGROUND

Although a growing number of studies have demonstrated that patients' health literacy is associated with health outcomes, the exact relationship between them is not clear.

AIMS AND OBJECTIVES

The aim of this study was to explore latent classes of health literacy in patients with heart failure and analyze the differences among different groups.

DESIGN AND METHODS

This is a cross-sectional survey. Patients diagnosed with heart failure were selected from 3 tertiary hospitals in Tianjin, China, from March 2019 to November 2019. We measured patients' health literacy using the Health Literacy Scale for Chronic Patients. Latent class analysis was carried out based on the patients' Health Literacy Scale for Chronic Patients scores. Multinomial logistic regression was used to identify the predictive indicators of the latent classes.

RESULTS

The health literacy of patients with heart failure was divided into 3 different latent classes, named "high health literacy group," "low literacy high dependence group," and "moderate literacy high willingness group." There were statistically significant differences in gender, age, smoking history, marital status, education level, household income level, and quality of life among different health literacy classes. Low education level and household income level predicted poor health literacy.

CONCLUSION

There were 3 latent classes for the health literacy of patients with heart failure. Different health literacy classes exhibited their own distinctive characteristics. Patients in the "moderate literacy high willingness group" had the worst quality of life. Understanding the specific types of health literacy in patients with heart failure facilitates targeted nursing interventions to improve their quality of life.

Clinical characteristics and mortality of patients with heart failure in Southern Sweden from 2013 to 2019: a population-based cohort study

OBJECTIVES

To describe clinical characteristics and prognosis related to heart failure (HF) phenotypes in a community-based population by applying a novel algorithm to obtain ejection fractions (EF) from electronic medical records.

DESIGN

Retrospective population-based cohort study.

SETTING

Data were collected for all patients with HF in Southwest Sweden. The region consists of three acute care hospitals, 40 inpatient wards, 2 emergency departments, 30 outpatient specialty clinics and 48 primary healthcare.

PARTICIPANTS

8902 patients had an HF diagnosis based on the International Classification of Diseases, Tenth Revision during the study period. Patients <18 years as well as patients declining to participate were excluded resulting in a study population of 8775 patients.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome measure was distribution of HF phenotypes by echocardiography. The secondary outcome measures were 1 year all-cause mortality and HR for all-cause mortality using Cox regression models.

RESULTS

Out of 8775 patients with HF, 5023 (57%) had a conclusive echocardiography distributed into HF with reduced EF (35%), HF with mildly reduced EF (27%) and HF with preserved EF (38%). A total of 43% of the cohort did not have a conclusive echocardiography, and therefore no defined phenotype (HF-NDP). One-year all-cause mortality was 42% within the HF-NDP group and 30% among those with a conclusive EF. The HR of all-cause mortality in the HF-NDP group was 1.27 (95% CI 1.17 to 1.37) when compared with the confirmed EF group. There was no significant difference in survival within the HF phenotypes.

CONCLUSIONS

This population-based study showed a distribution of HF phenotypes that varies from those in selected HF registries, with fewer patients with HF with reduced EF and more patients with HF with preserved EF. Furthermore, 1-year all-cause mortality was significantly higher among patients with HF who had not undergone a conclusive echocardiography at diagnosis, highlighting the importance of correct diagnostic procedure to improve treatment strategies and outcomes.

Introduction of specialized heart failure nurses in primary care and its impact on readmissions

BACKGROUND

Heart failure (HF) has a 2% prevalence in the population and is a major cause of morbidity and mortality. Multiple efforts have been made worldwide to improve quality of care and decrease unplanned readmissions for HF patients, one of which has been the introduction of specialist HF nurses (HFN) in primary health care. The present evidence on the benefits of HFN is contradicting. This study aims to evaluate the impact of a quality improvement intervention, availability of a HFN in Swedish primary care, on hospital readmissions.

METHODS

All patients over the age of 65 with a HF diagnosis and with complete information on availability of a HFN were included in this retrospective register-based study. Using propensity score matching (PSM) techniques, two comparable groups of 128 patients each were created according to the exposure status, availability or no availability of a HFN. The rate of readmission was compared between the groups.

RESULTS

Using PSM, 256 patients were matched, 128 in the HFN group and 128 in the no-HFN group. A total of 50% and 46.09% of patients in the HFN and no-HFN groups were readmitted, respectively. Mean number of readmissions per patient was 1.19 (SD 0.61) in the HFN group and 1.10 (SD 0.44) in the no-HFN group. Patients in the HFN had 17.6% higher odds of being readmitted during the study period, OR: 1.176 (CI: 0.716-1.932), and 3.8% lower odds of being readmitted within 30 days, OR: 0.962 (CI: 0.528-1.750).

CONCLUSIONS

Availability of a HFN in primary care was not significantly associated with reduced readmissions for the patients included in this study. Further investigations are warranted looking at the impacts of availability and access to a HFN in primary care on readmissions and other patient outcomes.

A Proposal of a Cost-Effectiveness Modeling Approach for Heart Failure Treatment Assessment: Considering the Short- and Long-Term Impact of Hospitalization on Event Rates

BACKGROUND

The rate of events such as recurrent heart failure (HF) hospitalization and death are known to dramatically increase directly after HF hospitalization. Furthermore, the number of HF hospitalizations is associated with irreversible long-term disease progression, which is in turn associated with increased event rates. However, cost-effectiveness models of HF treatments commonly fail to capture both the short- and long-term association between HF hospitalization and events.

OBJECTIVE

The aim of this study was to provide a decision-analytic model that reflects the short- and long-term association between HF hospitalization and event rates. Furthermore, we assess the impact of omitting these associations.

METHODS

We developed a life-time Markov cohort model to evaluate HF treatments, and modeled the short-term impact of HF hospitalization on event rates via a sequence of tunnel states, with transition probabilities following a parametric survival curve. The corresponding long-term impact was modeled via hazard ratios per HF hospitalization. We obtained baseline event rates and utilities from published literature. Subsequently, we assessed, for a hypothetical HF treatment, how omitting the modeled associations (through a simple two-state model) affects incremental quality-adjusted life-years (QALYs).

RESULTS

We developed a model that incorporates both short- and long-term impacts of HF hospitalizations. Based on an assumed treatment effect of a 20% risk reduction for HF hospitalization (and associated reductions in all-cause mortality of 15%), omitting the short-term, the long-term, or both associations resulted in a 5%, 1%, and 22% decrease in QALYs gained, respectively.

CONCLUSION

For both modeling components, i.e., the short- and long-term implications of HF hospitalization, the impact on incremental outcomes associated with treatment was substantial. Considering these aspects as proposed within this modeling approach better reflects the natural course of this progressive condition and will enhance the evaluation of future HF treatments.

[Impact of Home Return Assistance Service in Heart Failure (PRADO-IC) on the one year re-hospitalisation and mortality in a heart failure hospitalized population of patients]

INTRODUCTION

Congestive heart failure (CHF) is associated with prolonged and recurrent hospitalizations; the prognosis remains poor. Since 2013, the Caisse Primaire d'Assurance Maladie (CPAM) has set up a support program PRADO-IC (support program for returning home after hospitalisation for heart failure). The aim of this study was to evaluate the impact of PRADO-IC on the heart failure readmission rate and death rate at one year.

METHODS

From September 2016 to September 2018, all patients hospitalized for heart failure at Saint-Joseph Hospital were included in an observational study. The inclusion in PRADO-IC program was at physician's discretion. Two groups were compared according to the inclusion in PRADO-IC or not (T). The primary endpoints were the comparison of one-year mortality and heart failure readmission rate between the two groups.

RESULTS

Six hundred and thirty-three patients were included, 262 in the PRADO-IC group and 371 in the non-PRADO group. Patients in the PRADO-IC cohort more frequently present severity criteria (age, weight, BNP level, arrhythmia, anemia, renal failure). Mortality at one year (19.5% vs 16.2%, p = 0.28) are equivalent in both groups. There were no significant differences in one-year rehospitalization rate for heart failure (HF) (35.1% in PRADO cohort vs 28% in T group, p = 0.06), the time to first hospitalization (74.5 days in PRADO vs 54.5 days in T, p = 0.55) and the length of hospitalization (6.0 days in PRADO vs 7.0 days in T, p = 0.29) between the two groups. Age, hyponatremia, anemia, cancer, HF re-hospitalization were variables linked to a risk of mortality, in a multivariable analysis.

CONCLUSION

Our study shows that the PRADO-IC program concerned to the most severe patients. Despite this, the one-year mortality and the HF readmission rate are similar between the two groups.

Right and left ventricular structures and functions in acute HFpEF: comparing the hypertensive pulmonary edema and worsening heart failure phenotypes

BACKGROUND

Limited data are available on right (RV) and left (LV) ventricular structures and functions in acute heart failure with preserved ejection fraction (AHF-pEF) presenting with hypertensive pulmonary edema (APE) versus predominant peripheral edema (peHF).

METHODS AND RESULTS

In a prospective study of consecutive patients with AHF-pEF, 80 patients met inclusion and not exclusion criteria, and underwent echocardiographic and laboratory examination in the emergency ward. The survived (94%) were re-evaluated at the discharge. At admission, systolic, diastolic, pulse blood pressure (BP), and high sensitivity troponin I were higher (all P < 0.05) with APE than with peHF while brain-type natriuretic peptide (BNP), hemoglobin and estimated glomerular filtration rate (eGFR) did not differ between the two phenotypes. LV volumes and EF were comparable between APE and peHF, but APE showed lower relative wall thickness (RWT), smaller left atrial (LA) volume, higher pulse pressure/stroke volume (PP/SV), and higher ratio between the peak velocities of the early diastolic waves sampled by traditional and tissue Doppler modality (mitral E/e', all P < 0.05). Right ventricular and atrial (RA) areas were smaller, tricuspid anular plane systolic excursion (TAPSE) and estimated pulmonary artery peak systolic pressure (sPAP) were higher with APE than with peHF (all P < 0.05) while averaged degree of severity of tricuspid insufficiency was greater with peHF than with APE. At discharge, PP/SV, mitral E/e', sPAP, RV sizes were reduced from admission in both phenotypes (all P < 0.05) and did not differ anymore between phenotypes, whereas LV EF and TAPSE did not show significant changes over time and treatments.

CONCLUSION

In AHF-pEF, at comparable BNP and LV EF, hypertensive APE showed eccentric LV geometry but smaller RV and RA sizes, and higher RV systolic function, increased LV ventricular filling and systemic arterial loads. AHF resolution abolished the differences in PP/SV and LV diastolic load between APE and peHF whereas APE remained associated with more eccentric RV and higher TAPSE.

Adherence to Secondary Prevention Measures after Acute Coronary Syndrome in Patients Associated Exclusively with the Public and Private Healthcare Systems in Brazil

Adherence to secondary prevention measures after acute coronary syndrome (ACS) is essential to prevent disease recurrence. In Brazil, the Brazilian Unified Health System (SUS, in Portuguese), and the private healthcare system (PHCS) coexist. We aimed to evaluate the adherence to secondary prevention in patients with ACS who were assisted by either SUS or PHCS. In this longitudinal prospective study, patients with ACS were admitted to the four cardiological reference hospitals of Sergipe, three of which assisted PHCS users, and one, SUS users. We analyzed the two patient care models with multiple logistic regression models for adherence to physical activity, pharmacotherapy, and smoking cessation. We enrolled 581 volunteers in this study: 44.1 % from SUS and 55.9 % from PHCS. PHCS users showed greater adherence to pharmacotherapy at both 30 and 180 (p = 0.001) days after ACS with better results in all classes of medications (p < 0.05) than SUS users did. They also showed better adherence to physical activity (p = 0.047). There was no distinction between the groups regarding smoking cessation. The secondary prevention measures after ACS were more effective in PHCS users than in SUS users due to better adherence, especially to pharmacotherapy and regular physical activity.

The design of the Dashboard Activated Services and Telehealth for Heart Failure (DASH-HF) study: A pragmatic quality improvement randomized implementation trial for patients with heart failure with reduced ejection fraction

BACKGROUND

Gaps in the receipt and dosing of guideline-directed medical therapy (GDMT) persist for patients with heart failure with reduced ejection fraction (HFrEF) [1]. In 2020, the Veterans Affairs (VA) developed a heart failure (HF) specific population dashboard to monitor care quality and performance on standard HFrEF performance measures [2].

METHODS

The Dashboard Activated Services and Telehealth for HF (DASH-HF) study is a pragmatic randomized quality improvement study designed to evaluate the utility of proactive population management clinics using the VA's HF dashboard to optimize GDMT for patients with HFrEF. Panel management telemedicine clinics incorporated multidisciplinary clinicians to perform chart review and impromptu telephone encounters to evaluate current HFrEF management and opportunities to optimize GDMT. The study will evaluate the efficacy of proactive panel management to usual care at 6 months as quantified by the GDMT optimization potential score. Secondary outcomes include hospitalizations, mortality, and clinician time per intervention. The study completed enrollment and randomization of 300 participants. The intervention was performed from September to December 2021.

CONCLUSION

DASH-HF will contribute to the literature by evaluating use of the existing VA dashboard to identify HF patients with the lowest adherence to GDMT and proactively target this group for the intervention.

REGISTRATION

https://clinicaltrials.gov/. Unique identifier: NCT05001165.

Long-term survival and life expectancy following an acute heart failure hospitalization in Australia and New Zealand

AIMS

Contemporary long-term survival following a heart failure (HF) hospitalization is uncertain. We evaluated survival up to 10 years after a HF hospitalization using national data from Australia and New Zealand, identified predictors of survival, and estimated the attributable loss in life expectancy.

METHODS AND RESULTS

Patients hospitalized with a primary diagnosis of HF from 2008-2017 were identified and all-cause mortality assessed by linking with Death Registries. Flexible parametric survival models were used to estimate survival, predictors of survival and loss in life expectancy. A total of 283 048 patients with HF were included (mean age 78.2 ± 12.3 years, 50.8% male). Of these, 48.3% (48.1-48.5) were surviving by 3 years, 34.1% (33.9-34.3) by 5 years and 17.1% (16.8-17.4) by 10 years (median survival 2.8 years). Survival declined with age with 53.4% of patients aged 18-54 years and 6.2% aged ≥85 years alive by 10 years (adjusted hazard ratio [aHR] for mortality 4.84, 95% confidence interval [CI] 4.65-5.04 for ≥85 years vs. 18-54 years) and was worse in male patients (aHR 1.14, 95% CI 1.13-1.15). Prior HF (aHR 1.20, 95% CI 1.18-1.22), valvular and rheumatic heart disease (aHR 1.11, 95% CI 1.10-1.13) and vascular disease (aHR 1.07, 95% CI 1.04-1.09) were cardiovascular comorbidities most strongly associated with long-term death. Non-cardiovascular comorbidities and geriatric syndromes were common and associated with higher mortality. Compared with the general population, HF was associated with a loss of 7.3 years in life expectancy (or 56.6% of the expected life expectancy) and reached 20.5 years for those aged 18-54 years.

CONCLUSION

Less than one in five patients hospitalized for HF were surviving by 10 years with patients experiencing almost 60% loss in life expectancy compared with the general population, highlighting the considerable persisting societal burden of HF. Concerted multidisciplinary efforts are needed to improve post-hospitalization outcomes of HF.

Using Data-Driven Approaches to Classify and Predict Health Care Spending in Patients With Gout Using Urate-Lowering Therapy

OBJECTIVE

Despite increasing overall health care spending over the past several decades, little is known about long-term patterns of spending among US patients with gout. Current approaches to assessing spending typically focus on composite measures or patients agnostic to disease state; in contrast, examining spending using longitudinal measures may better discriminate patients and target interventions to those in need. We used a data-driven approach to classify and predict spending patterns in patients with gout.

METHODS

Using insurance claims data from 2017-2019, we used group-based trajectory modeling to classify patients ages 40 years or older diagnosed with gout and treated with urate-lowering therapy (ULT) by their total health care spending over 2 years. We assessed the ability to predict membership in each spending group using logistic and generalized boosted regression with split-sample validation. Models were estimated using different sets of predictors and evaluated using C statistics.

RESULTS

In 57,980 patients, the mean ± SD age was 71.0 ± 10.5 years, and 17,194 patients (29.7%) were female. The best-fitting model included the following groups: minimal spending (13.2%), moderate spending (37.4%), and high spending (49.4%). The ability to predict groups was high overall (e.g., boosted C statistics with all predictors: minimal spending [0.89], moderate spending [0.78], and high spending [0.90]). Although average adherence was relatively high in the population, for the high-spending group, the most influential predictors were greater gout medication adherence and diabetes melllitus diagnosis.

CONCLUSION

We identified distinct long-term health care spending patterns in patients with gout using ULT with high accuracy. Several clinical predictors could be key areas for intervention, such as gout medication use or diabetes melllitus.

The State of Heart Failure Care in Canada: Minimal Improvement in Readmissions Over Time Despite an Increased Number of Evidence-Based Therapies

Background

Methods

Results

Conclusions

Decreasing 30-Day Readmission Rates in Patients With Heart Failure

BACKGROUND

Heart failure affects approximately 6.2 million adults in the United States and has an estimated national cost of $30.7 billion annually. Despite advances in treatment, heart failure is a leading cause of hospital readmissions. Nonadherence to treatment plans, lack of education, and lack of access to care contribute to poorer outcomes.

LOCAL PROBLEM

For patients with heart failure, the mean readmission rate is 21% nationally and 23% in New York State. Before the pilot heart failure program began, the 30-day readmission rate in the study institution was 28.6%.

METHODS

A multidisciplinary team created a heart failure self-care pilot program that was implemented on a hospital telemetry unit with 47 patients. Patients received education on their disease process, medications, diet, exercise, and early symptom recognition. Patients received a follow-up telephone call 48 to 72 hours after discharge and were seen by a cardiologist within a week of discharge.

RESULTS

The 30-day readmission rate for heart failure decreased by 16.6% after implementation of the pilot program, which improved patient adherence to their medication and treatment plan and resulted in a reduction of readmissions.

DISCUSSION

Patients in the pilot program represented diverse backgrounds. Socioeconomic factors such as the lack of affordable, healthy food choices and easy access to resources were associated with worse outcomes.

CONCLUSIONS

The evidence-based heart failure program improved knowledge, early symptom recognition, lifestyle modification, and adherence to medication, treatment plan, and follow-up appointments. The multidisciplinary team approach to the heart failure program reduced gaps in care and improved coordination and transition of care.

The relationship of family functioning and family health with hospital readmission in patients with heart failure: insights from an international cross-sectional study

BACKGROUND

The growing hospital readmission rate among patients with heart failure (HF) has imposed a substantial economic burden on healthcare systems. Therefore, it is essential to identify readmission associating factors to reduce hospital readmission.

AIMS

This study aimed to investigate the relationship of family functioning and family health with hospital readmission rates over six months in patients with HF and identify the sociodemographic and/or clinical variables associated with hospital readmission.

METHODS

This international multicentre cross-sectional study involved a sample of 692 patients with HF from three countries (Denmark 312, Iran 288, and Iceland 92) recruited from January 2015 to May 2020. The Family Functioning, Health, and Social Support questionnaire was used to collect the data. The number of patients' hospital readmissions during the six-month period was retrieved from patients' hospital records.

RESULTS

Of the total sample, 184 (26.6%) patients were readmitted during the six-month period. Of these, 111 (16%) had one readmission, 68 (9.9%) had two readmissions, and 5 (0.7%) had three readmissions. Family functioning, family health, being unemployed, and country of residence were significant factors associated with hospital readmission for the patients.

CONCLUSION

This study highlights the critical roles of family functioning and family health in six-month hospital readmission among patients with HF. Moreover, the strategy of healthcare systems in the management of HF is a key determinant that influences hospital readmission. Our findings may assist the investigation of potential strategies to reduce hospital readmission in patients with HF.

Incidence and Prognostic Implications of Readmissions Caused by Thrombotic Events After a Heart Failure Hospitalization

Background Readmission occurs in 1 out of 3 patients with heart failure (HF). We aimed to study the incidence and prognostic implications of rehospitalizations because of arterial thromboembolism events (ATEs) and venous thromboembolism events (VTEs) after discharge in patients with HF. Methods and Results We identified Medicare beneficiaries who were admitted with a primary diagnosis of HF from 2014 to 2019, with a hospital stay ranging between 3 and10 days, followed by discharge to home. We calculated incidence of ATEs (myocardial infarction, ischemic stroke, or systemic embolism) and VTEs (deep venous thrombosis and pulmonary embolism) up to 90 days after discharge. Out of 2 953 299 patients admitted with HF during the study period, a total of 585 353 patients met the inclusion criteria, and 36.6% were readmitted within 90 days of discharge. The incidence of readmission due ATEs, VTEs, HF, and all other reasons was 3.4%, 0.5%, 13.2%, and 19.5%, respectively. Incidence of thromboembolic events was highest within 14 days after discharge. Factors associated with ATEs included prior coronary, peripheral, or cerebrovascular disease and for VTEs included malignancy and prior liver or lung disease. ATE/VTE readmission had a 30-day mortality of 19.9%. After a median follow-up period of 25.6 months, ATE and VTE readmissions were associated with higher risk of mortality (hazard ratio, 2.76 [95% CI, 2.71-2.81] and 2.17 [95% CI, 2.08-2.27], respectively; P<0.001 for both) compared with no readmission on time-dependent Cox regression. Conclusions After a HF hospitalization, 3.9% of patients were readmitted with a thromboembolic event that was associated with 2- to 3-fold greater risk of mortality in follow-up.

National trend in heart failure hospitalization and outcome under public health insurance system in Thailand 2008-2013

Background

There are limited data on the burden, characteristics, and outcomes of hospitalized heart failure (HF) patients in Thailand. The aim of this study was to investigate national trend in HF hospitalization rate, in-hospital and 1-year mortality rate, and rehospitalization rate in Thailand.

Methods

We analyzed the claims data of hospitalized patients obtained from the three major Thailand public health reimbursement systems between 2008 and 2013. Patients aged ≥ 18 years with a principal diagnosis of HF by the International Classification of Diseases, Tenth Revision, Thai modification were included. Comorbidities were identified by secondary diagnosis codes. The annual rate of HF hospitalization was calculated per 100,000 beneficiaries. Records of subsequent hospitalization of discharged patients were retrieved. For 1-year mortality rate, vital status of each patient was obtained from Thai Civil Registration of Death database. All outcomes were tested for linear trends across calendar years.

Results

Between 2008 and 2013, 434,933 HF hospitalizations were identified. The mean age was 65.3 years (SD 14.6), and 58.1% were female. The HF hospitalization rate increased from 138 in 2008 to 168 per 100,000 beneficiaries in 2013 (P for trend < 0.001). Nearly half (47.4%) had had a prior HF admission within 1 year. A small proportion of patients (7.4%) received echocardiography during hospitalization. The median length of hospital stay was 3 days. In-hospital mortality declined from 4.4 to 3.8% (P for trend < 0.001). The overall 30-day and 1-year rehospitalization rates were 34 and 73%, respectively, without significant trends over the study period. Most common cause of 30-day rehospitalization was HF (42%). One-year mortality decreased from 31.8% in 2008 to 28.5% in 2012 (P for trend < 0.001).

Conclusion

Between 2008 and 2013, HF hospitalization rate in Thailand increased. The in-hospital and 1-year mortality rates decreased slightly. However, the rehospitalization rate remained high mainly due to recurrent HF hospitalization.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-022-02629-2.

Impact of Daily Bedside Echocardiographic Assessment on Readmissions in Acute Heart Failure: A Randomized Clinical Trial

Acute heart failure (AHF) management is challenging, with high morbidity and readmission rates. There is little evidence of the benefit of HF monitoring during hospitalization. The aim of the study was to assess whether daily bedside echocardiographic monitoring (JetEcho) improved outcomes in AHF. In this prospective, open, two parallel-arm study (clinicaltrials.gov: NCT02892227), participants from two university hospitals were randomized to either standard of care (SC) or daily treatment adjustment including diuretics guided by JetEcho evaluating left ventricular filling pressure and volemia. The primary outcome was 30-day readmission rate. Key secondary outcomes were six-month cumulative incidence death, worsening HF during hospitalization and increasing of myocardial and renal biomarkers. From 250 included patients, 115 were finally analyzed in JetEcho group and 112 in SC group. Twenty-two (19%) patients were readmitted within 30 days in JetEcho group and 17 (15%) in SC group (relative risk [RR] 1.26; 95% confidence interval [CI], 0.70−2.24; p = 0.4). Worsening HF occurred in 17 (14%) patients in the JetEcho group and 24 (20%) in the SC group (RR 0.7; 95% [CI] 0.39 to 1.2; p = 0.2). No significant difference was found between the two groups concerning natriuretic peptides and renal function (p > 0.05 for all). The cumulative incidence rate of death from any cause at six months from discharge was 8.7% in the JetEcho group and 11.6% in the SC group (HR 0.63, 95% [CI] 0.3−1.4, p = 0.3). In AHF patients, a systematic daily bedside echocardiographic monitoring did not reduce 30-day readmission rate for HF and short-term clinical outcomes.

Trends for Readmission and Mortality After Heart Failure Hospitalisation in Malaysia, 2007 to 2016

Background and objectives:

Data on population-level outcomes after heart failure (HF) hospitalisation in Asia is sparse. This study aimed to estimate readmission and mortality after hospitalisation among HF patients and examine temporal variation by sex and ethnicity.

Methods:

Data for 105,399 patients who had incident HF hospitalisations from 2007 to 2016 were identified from a national discharge database and linked to death registration records. The outcomes assessed here were 30-day readmission, in-hospital, 30-day and one-year all-cause mortality.

Results:

Eighteen percent of patients (n = 16786) were readmitted within 30 days. Mortality rates were 5.3% (95% confidence interval (CI) 5.1–5.4%), 11.2% (11.0–11.4%) and 33.1% (32.9–33.4%) for in-hospital, 30-day and 1-year mortality after the index admission. Age, sex and ethnicity-adjusted 30-day readmissions increased by 2% per calendar year while in-hospital and 30-day mortality declined by 7% and 4% per year respectively. One-year mortality rates remained constant during the study period. Men were at higher risk of 30-day readmission (adjusted rate ratio (RR) 1.16, 1.13–1.20) and one-year mortality (RR 1.17, 1.15–1.19) than women. Ethnic differences in outcomes were evident. Readmission rates were equally high in Chinese and Indians relative to Malays whereas Others, which mainly comprised Indigenous groups, fared worst for in-hospital and 30-day mortality with RR 1.84 (1.64–2.07) and 1.3 (1.21–1.41) relative to Malays.

Conclusions:

Short-term survival was improving across sex and ethnic groups but prognosis at one year after incident HF hospitalisation remained poor. The steady increase in 30-day readmission rates deserves further investigation.

Reduction of Hospitalization and Mortality by Echocardiography-Guided Treatment in Advanced Heart Failure

In advanced heart failure (AHF) clinical evaluation fails to detect subclinical HF deterioration in outpatient settings. The aim of the study was to determine whether the strategy of intensive outpatient echocardiographic monitoring, followed by treatment modification, reduces mortality and re-hospitalizations at 12 months. Methods: 214 patients with ejection fraction < 30% and >1 hospitalization during the last year underwent clinical evaluation and echocardiography at discharge and were divided into intensive (IMG; N = 143) or standard monitoring group (SMG; N = 71). In IMG, volemic status and left ventricular filling pressure were assessed 14, 30, 90, 180 and 365 days after discharge. HF treatment, particularly diuretic therapy, was temporarily intensified when HF deterioration signs and E/e’ > 15 were detected. In SMG, standard outpatient monitoring without obligatory echocardiography at outpatient visits was performed. Results: We observed lower hospitalization (absolute risk reduction [ARR]-0.343, CI-95%: 0.287−0.434, p < 0.05; number needed to treat [NNT]-2.91) and mortality (ARR-0.159, CI 95%: 0.127−0.224, p < 0.05; NNT-6.29) in IMG at 12 months. One-year survival was 88.8% in IMG and 71.8% in SMG (p < 0.05). Conclusion: In AHF, outpatient monitoring of volemic status and intracardiac filling pressures to individualize treatment may potentially reduce hospitalizations and mortality at 12 months follow-up. Echocardiography-guided outpatient therapy is feasible and clinically beneficial, providing evidence for the larger application of this approach.