National and regional trends in heart failure hospitalization and mortality rates for Medicare beneficiaries, 1998-2008

Assessing large language models for acute heart failure classification and information extraction from French clinical notes

Understanding acute heart failure (AHF) remains a significant challenge, as many clinical details are recorded in unstructured text rather than structured data in electronic health records (EHRs). In this study, we explored the use of large language models (LLMs) to automatically identify AHF hospitalizations and extract accurate AHF-related clinical information from clinical notes. Based on clinical notes from the Nantes University Hospital in France, we used a general-purpose LLM, Qwen2-7B, and evaluated its performance against a French biomedical pretrained model, DrLongformer. We explored supervised fine-tuning and in-context learning techniques, such as few-shot and chain-of-thought prompting, and performed an ablation study to analyze the impact of data volume and annotation characteristics on model performance. Our results demonstrated that DrLongformer achieved superior performance in classifying AHF hospitalizations, with an F1 score of 0.878 compared to 0.80 for Qwen2-7B, and similarly outperformed in extracting most of the clinical information. However, Qwen2-7B showed better performance in extracting quantitative outcomes when fine-tuned on the training set (typically weight and body mass index, for example). Our ablation study revealed that the number of clinical notes used in training is a significant factor influencing model performance, but improvements plateaued after 250 documents. Additionally, we observed that longer annotations negatively impact model training and downstream performance. The findings highlight the potential of small language models-which can be hosted on-premise in hospitals and integrated with EHRs-to improve real-world data collection and identify complex medical symptoms such as acute heart failure.

Safety of human serum albumin infusion in heart failure patients with hypoproteinemia: a propensity score-matched analysis

OBJECTIVES

Heart failure, especially in the elderly, is a growing global issue. This research explores the safety of human albumin infusion in treating heart failure patients with hypoalbuminemia, despite limited clinical data on its use with diuretic therapy.

METHODS

Data were collected from the Medical Information Mart for Intensive Care III (MIMIC-III) database, which included a cohort of 6094 patients diagnosed with heart failure. Propensity score matching, logistic regression, Kaplan-Meier curves, and Locally Weighted Scatterplot Smoothing (LOWESS) curves were used to examine how albumin administration correlates with different clinical results. The evaluated results comprised in-hospital mortality, cumulative fluid output over 24 hours, Length of Stay in the Intensive Care Unit (ICU LOS), and overall hospitalization duration (hospital LOS).

RESULTS

Infusing albumin was found to be markedly linked with higher in-hospital mortality among heart failure patients whose serum albumin levels were ≤ 2.9 g/dL (p < 0.001). However, no statistically significant correlation was found between the patients with levels > 2.9 g/dL (p = 0.62). Following propensity score matching in the ≤ 2.9 g/dL serum albumin group, albumin infusion was linked to prolonged hospital and ICU stays (p = 0.002, p < 0.001), but showed no significant association with total 24 hour fluid output and 90-day survival (p = 0.173, p = 0.656).

CONCLUSION

The use of albumin has been linked to increased risk-adjusted mortality during hospitalization, as well as prolonged stays in both hospital and ICU settings for patients with heart failure and low levels of serum albumin. Physicians should exercise caution when considering the administration of albumin in these cases.

NT-proBNP for Predicting All-Cause Death and Heart Transplant in Children and Adults with Heart Failure

Plasma N-terminal prohormone B-type natriuretic peptide (NT-proBNP) concentration is a heart failure (HF) biomarker in adults and children. Its prognostic value for HF-related events has been established only in adults. Therefore, we aimed to test the hypothesis that plasma NT-proBNP concentrations predicted the risk of heart transplantation or death in children with HF. We studied the medical records of 109 children with HF enrolled in the IBM Watson Explorys database and from 150 children enrolled in the Pediatric Cardiomyopathy Registry (PCMR). Nonlinear regression was used to assess the relationship between plasma NT-proBNP concentrations and the risk of events in the two cohorts. All children in the PCMR cohort had dilated cardiomyopathy. The Explorys cohort also included children with congenital cardiovascular malformations. Median plasma NT-proBNP concentrations were 1250 pg/mL and 184 pg/mL in the Explorys and PCMR cohorts, respectively. The percentage of deaths/heart transplantations was 7%/22%, over 2 years in the Explorys cohort and 3%/16% over 5 years in the PCMR cohort. Mean estimates of plasma NT-proBNP concentration indicative of half-maximum relative risk for events (EC50 values) at 2 and 5 years were 3730 pg/mL and 4199 pg/mL, respectively, values both close to the mean of 3880 pg/mL established for adults with HF. The plasma NT-proBNP concentration is suitable for estimating relative risk of mortality and heart transplantation in children with HF, independent of etiology and shows similar relations to clinical outcomes as in adults, indicating its likely value as a surrogate marker both for adult and pediatric HF.ClinicalTrials.gov Identifiers: NCT00005391 (May 26, 2000), NCT01873976 (June 10, 2013).

N-Cadherin promotes cardiac regeneration by potentiating pro-mitotic β-Catenin signaling in cardiomyocytes

Adult human hearts exhibit limited regenerative capacity. Post-injury cardiomyocyte (CM) loss can lead to myocardial dysfunction and failure. Although neonatal mammalian hearts can regenerate, the underlying molecular mechanisms remain elusive. Herein, comparative transcriptome analyses identify adherens junction protein N-Cadherin as a crucial regulator of CM proliferation/renewal. Its expression correlates positively with mitotic genes and shows an age-dependent reduction. N-Cadherin is upregulated in the neonatal mouse heart following injury, coinciding with increased CM mitotic activities. N-Cadherin knockdown reduces, whereas overexpression increases, the proliferation activity of neonatal mouse CMs and human induced pluripotent stem cell-derived CMs. Mechanistically, N-Cadherin binds and stabilizes pro-mitotic transcription regulator β-Catenin, driving CM self-renewal. Targeted N-Cadherin deletion in CMs impedes cardiac regeneration in neonatal mice, leading to excessive scarring. N-Cadherin overexpression, by contrast, promotes regeneration in adult mouse hearts following ischemic injury. N-Cadherin targeting presents a promising avenue for promoting cardiac regeneration and restoring function in injured adult human hearts.

Selective efferent vagal stimulation in heart failure

Patients diagnosed with heart failure have high rates of mortality and morbidity. Based on promising preclinical studies, vagal nerve stimulation has been trialled in these patients using whole nerve electrical stimulation, but the results have been mixed. This is, at least in part, due to an inability to selectively recruit the activity of specific fibres within the vagus with whole nerve electrical stimulation, as well as not knowing which the 'therapeutic' fibres are. This symposium review focuses on a population of cardiac-projecting efferent vagal fibres with cell bodies located within the dorsal motor nucleus of the vagus nerve and a new method of selectively targeting these projections as a potential treatment in heart failure.

J-Shaped Association Between Respiratory Rate and In-Hospital Mortality in Acute Myocardial Infarction Patients Complicated by Congestive Heart Failure in Intensive Care Unit

Background: While respiratory rate has proven to be a sensitive prognostic indicator in ICU settings, its relevance in the context of Acute Myocardial Infarction (AMI) patients complicated by Congestive Heart Failure (CHF) remains underexplored. Therefore, this study aims to investigate the relationship between respiratory rate and in-hospital mortality in this specific patient cohort. Methods: This retrospective cohort study utilized the Medical Information Mart for Intensive Care-IV database to analyze all AMI patients with concomitant CHF. The primary outcome, in-hospital mortality, was assessed through multivariate analysis. Logistic regression models, restricted cubic spline regression models, and subgroup analyses were employed to explore the association between respiratory rate and in-hospital mortality. Results: The study encompassed 5056 participants diagnosed with both CHF and AMI. After adjusting for confounding variables, each incremental unit rise in respiratory rate was associated with an 8% increase in the risk of patient mortality (OR = 1.08, 95% CI: 1.05∼1.11, P < 0.001). When comparing individuals with respiratory rates in the first tertile (≤17 breaths per minute) and the third tertile (>17-20 breaths per minute) to those in the second tertile (17-20 breaths per minute), the adjusted ORs for in-hospital mortality were 1.09 (95% CI: 0.82∼1.46, P = 0.546) and 1.62 (95% CI: 1.27∼2.06, P < 0.001), respectively. A dose-response relationship depicted a J-shaped curve between respiratory rate and the risk of in-hospital mortality, with an inflection point at approximately 19 breaths per minute. Stratified analyses confirmed the robustness of this correlation. Conclusions: This study reveals a J-shaped association between respiratory rate and in-hospital mortality in ICU patients suffering from both AMI and CHF.

Improving TRansitions ANd outcomeS for heart FailurE patients in home health CaRe (I-TRANSFER-HF): a type 1 hybrid effectiveness-implementation trial: study protocol

BACKGROUND

Some of the most promising strategies to reduce hospital readmissions in heart failure (HF) is through the timely receipt of home health care (HHC), delivered by Medicare-certified home health agencies (HHAs), and outpatient medical follow-up after hospital discharge. Yet national data show that only 12% of Medicare beneficiaries receive these evidence-based practices, representing an implementation gap. To advance the science and improve outcomes in HF, we will test the effectiveness and implementation of an intervention called Improving TRansitions ANd OutcomeS for Heart FailurE Patients in Home Health CaRe (I-TRANSFER-HF), comprised of early and intensive HHC nurse visits combined with an early outpatient medical visit post-discharge, among HF patients receiving HHC.

METHODS

This study will use a Hybrid Type 1, stepped wedge randomized trial design, to test the effectiveness and implementation of I-TRANSFER-HF in partnership with four geographically diverse dyads of hospitals and HHAs ("hospital-HHA" dyads) across the US. Aim 1 will test the effectiveness of I-TRANSFER-HF to reduce 30-day readmissions (primary outcome) and ED visits (secondary outcome), and increase days at home (secondary outcome) among HF patients who receive timely follow-up compared to usual care. Hospital-HHA dyads will be randomized to cross over from a baseline period of no intervention to the intervention in a randomized sequential order. Medicare claims data from each dyad and from comparison dyads selected within the national dataset will be used to ascertain outcomes. Hypotheses will be tested with generalized mixed models. Aim 2 will assess the determinants of I-TRANSFER-HF's implementation using a mixed-methods approach and is guided by the Consolidated Framework for Implementation Research 2.0 (CFIR 2.0). Qualitative interviews will be conducted with key stakeholders across the hospital-HHA dyads to assess acceptability, barriers, and facilitators of implementation; feasibility and process measures will be assessed with Medicare claims data.

DISCUSSION

As the first pragmatic trial of promoting timely HHC and outpatient follow-up in HF, this study has the potential to dramatically improve care and outcomes for HF patients and produce novel insights for the implementation of HHC nationally.

TRIAL REGISTRATION

This trial has been registered on ClinicalTrials.Gov (#NCT06118983). Registered on 10/31/2023, https://clinicaltrials.gov/study/NCT06118983?id=NCT06118983&rank=1 .

Trends and predictors of functional class after high-risk left ventricular assist device implantation at a destination therapy center

Background

Although left ventricular assist device (LVAD) implantation is associated with improved survival, long-term impact on functional class is less well understood in high-risk implants. We undertook this study to better understand how destination therapy (DT) LVAD implantation affects patient functional status and predictors of functional improvement.

Methods

We conducted a single-center, retrospective review of all primary LVAD implantations. Primary outcome was New York Heart Association (NYHA) functional class. An improved sustainable functional improvement was defined as being alive at 1-year with NYHA class I or II symptoms. Multivariable logistic regression was performed to identify predictors of sustainable functional improvement.

Results

From 2017 to 2023, 151 primary LVAD implantations were performed. Operative mortality was 7.95% (n=12). At 6-month follow-up, 113 (92.62%) of patients had experienced an improvement in functional class with 35 (28.69%) class I, 53 (43.44%) class II, 29 (23.77%) class III, and 5 (4.10%) class IV. At 12 months, 86 (91.49%) patients had sustained improvement in NYHA class with 32 (34.04%) class I, 40 (42.55%) class II, 19 (20.21%) class III, and 3 (3.19%) class IV. At 2 years, 57 (91.94%) patients still experienced improved symptoms. On multivariable logistic regression analysis, an ischemic etiology of heart failure (HF) was associated with a sustainable functional improvement [odds ratio: 5.53 (95% confidence interval: 1.06-28.89), P=0.04].

Conclusions

LVAD implantation is associated with significant functional improvement as measured by NYHA class. The high-risk cohort showed similar improvement in functional status. In our series, the best predictor of a sustainable improvement in functional status is an ischemic etiology of HF.

Association of Medication Adherence and Health Status in Heart Failure With Reduced Ejection Fraction: Insights From the CHAMP-HF Registry

BACKGROUND

The foundation for managing heart failure with reduced ejection fraction (HFrEF) is adherence to guideline-directed medical therapy. Finding an association between medication adherence and patients' health status (their symptoms, function, and quality of life) can be used to underscore its importance to patients.

METHODS

The association of self-reported medication adherence in US outpatients with HFrEF enrolled in the Change the Management of Patients with Heart Failure registry from 2015 to 2017 was compared with their health status at baseline and 12 months later. A secondary analysis of changes in adherence between baseline and 6 months with 6-month health status was also performed. Medication adherence was assessed with the self-reported 4-item Morisky-Green-Levine Medication Adherence Scale, with scores ≥1 classified as nonadherent. The primary health status outcome was the disease-specific 12-item Kansas City Cardiomyopathy Questionnaire Overall Summary Score (KCCQ-OS; range, 0-100; higher is better). Robust linear regression models adjusted for confounders were used.

RESULTS

After excluding those who died (n=316) or did not provide 12-month KCCQ (n=1285), 3495 outpatients with HFrEF were included, of whom 1108 (31.7%) reported being nonadherent. Nonadherent participants were younger, had significantly worse baseline health status (-5.83-point difference; P<0.001), and showed less improvement at 12 months (-1.7-point difference in mean change; P=0.017) than adherent participants. Among nonadherent patients at baseline, those whose adherence improved trended toward greater 6-month health status improvements than those remaining nonadherent (fully adjusted difference of 2.52 points; P=0.054).

CONCLUSIONS

In HFrEF, medication nonadherence was associated with worse health status and less improvement over the following year. Improvements in adherence were associated with better health status than remaining nonadherent, underscoring the importance of supporting adherence with guideline-directed medical therapy in patients with HFrEF.

Outcomes and complications of heart failure with iron deficiency anemia: a nationwide analysis

INTRODUCTION

Heart failure is a pressing public health concern, affecting millions in the United States and projected to rise significantly by 2030. Iron deficiency, prevalent in nearly half of ambulatory heart failure patients, contributes to anemia and diminishes patient outcomes. In this study, we aim to evaluate the impact of iron deficiency anemia on acute heart failure hospitalizations outcomes.

METHODS

Utilizing the 2019 National Inpatient Sample (NIS) database, a retrospective observational study assessed 112,864 adult patients hospitalized with heart failure and 7,865 cases also had a concomitant diagnosis of iron deficiency anemia (IDA).

RESULTS

Among 112,864 heart failure hospitalizations in 2019, approximately 7% had concomitant iron deficiency anemia (IDA). Heart failure patients with IDA exhibited distinct demographic characteristics, with females comprising 51.1% (p < 0.01) and higher rates of complicated hypertension (p < 0.01), complicated diabetes (p < 0.01), and peripheral vascular disease (p < 0.01). Adjusted mean LOS for patients with IDA was significantly longer at 1.31 days (95% CI 0.71-1.47; p < 0.01), persisting in both HFpEF and HFrEF subgroups. While total hospital charges were comparable in HFpEF, HFrEF patients with IDA incurred significantly higher charges ($13427.32, 95% CI: 1463.35-$25391.29, p = 0.03) than those without IDA. Complications such as atrial fibrillation and acute kidney injury were notably more prevalent in HFpEF and HFrEF patients with IDA.

CONCLUSION

The study highlighted that iron deficiency in heart failure patients leads to extended hospital stays, increased costs, and heightened risks of specific complications, particularly in HFrEF. Our study emphasized the implications of IDA in patients with heart failure ranging from prolonged hospitalizations and increased costs. Addressing iron deficiency is crucial, given its substantial impact on heart failure hospitalizations and outcomes, emphasizing the need for proactive diagnosis and management.

Trends in Mortality After Incident Hospitalization for Heart Failure Among Medicare Beneficiaries

Importance

Despite advances in treatment and care quality for patients hospitalized with heart failure (HF), minimal improvement in mortality has been observed after HF hospitalization since 2010.

Objective

To evaluate trends in mortality rates across specific intervals after hospitalization.

Design, Setting, and Participants

This cohort study evaluated a random sample of Medicare fee-for-service beneficiaries with incident HF hospitalization from January 1, 2008, to December 31, 2018. Data were analyzed from February 2023 to May 2024.

Main Outcomes and Measures

Unadjusted mortality rates were calculated by dividing the number of all-cause deaths by the number of patients with incident HF hospitalization for the following periods: in-hospital, 30 days (0-30 days after hospital discharge), short term (31 days to 1 year after discharge), intermediate term (1-2 years after discharge), and long term (2-3 years after discharge). Each period was considered separately (ie, patients who died during one period were not counted in subsequent periods). Annual unadjusted and risk-adjusted mortality ratios were calculated (using logistic regression to account for differences in patient characteristics), defined as observed mortality divided by expected mortality based on 2008 rates.

Results

A total of 1 256 041 patients (mean [SD] age, 83.0 [7.6] years; 56.0% female; 86.0% White) were hospitalized with incident HF. There was a substantial decrease in the mortality ratio for the in-hospital period (unadjusted ratio, 0.77; 95% CI, 0.67-0.77; risk-adjusted ratio, 0.74; 95% CI, 0.71-0.76). For subsequent periods, mortality ratios increased through 2013 and then decreased through 2018, resulting in no reductions in unadjusted postdischarge mortality during the full study period (30-day mortality ratio, 0.94; 95% CI, 0.82-1.06; short-term mortality ratio, 1.02; 95% CI, 0.87-1.17; intermediate-term mortality ratio, 0.99; 95% CI, 0.79-1.19; and long-term mortality ratio, 0.96; 95% CI, 0.76-1.16) and small reductions in risk-adjusted postdischarge mortality during the full study period (30-day mortality ratio, 0.88; 95% CI, 0.86-0.90; short-term mortality ratio, 0.94; 95% CI, 0.94-0.95; intermediate-term mortality ratio, 0.94; 95% CI, 0.92-0.95; and long-term mortality ratio, 0.95; 95% CI, 0.93-0.96).

Conclusions and Relevance

In this study of Medicare fee-for-service beneficiaries, there was a substantial decrease in in-hospital mortality for patients hospitalized with incident HF from 2008 to 2018, but little to no reduction in mortality for subsequent periods up to 3 years after hospitalization. These results suggest opportunities to improve longitudinal outpatient care for patients with HF after hospital discharge.

Acute hospitalizations and outcomes in Veterans Affairs Hospitals 2011 to 2017

Hospitals within the Veterans Affairs (VA) health care system exhibited growing use of observation care. It is unknown how this affected VA hospital performance since observation care is not included in acute inpatient measures. To examine changes in VA hospitalization outcomes and whether it was affected by shifting acute inpatient care to observation care. Longitudinal analysis of 986,355 acute hospitalizations and observation stays in 11 states 2011 to 2017. We estimated temporal changes in 30-day mortality, 30-day readmissions, costs, and length of stay (LOS) for all hospitalizations and 6 conditions in adjusted models. Changes in mortality and readmissions were compared including and excluding observation care. A 9% drop in acute hospitalizations was offset by a 157% increase in observation stays 2011 to 2017. A 30-day mortality decreased but readmissions did not when observation stays were included (all P < .05). Mean costs increased modestly; mean LOS was unchanged. There were differences by condition. VA hospital mortality decreased; there was no change in readmissions.

Proximal telomeric decompaction due to telomere shortening drives FOXC1-dependent myocardial senescence

Telomeres, TTAGGGn DNA repeat sequences located at the ends of eukaryotic chromosomes, play a pivotal role in aging and are targets of DNA damage response. Although we and others have demonstrated presence of short telomeres in genetic cardiomyopathic and heart failure cardiomyocytes, little is known about the role of telomere lengths in cardiomyocyte. Here, we demonstrate that in heart failure patient cardiomyocytes, telomeres are shortened compared to healthy controls. We generated isogenic human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) with short telomeres (sTL-CMs) and normal telomeres (nTL-CMs) as model. Compared to nTL-CMs, short telomeres result in cardiac dysfunction and expression of senescent markers. Using Hi-C and RNASeq, we observe that short telomeres induced TAD insulation decrease near telomeric ends and this correlated with a transcription upregulation in sTL-CMs. FOXC1, a key transcription factor involved in early cardiogenesis, was upregulated in sTL-CMs and its protein levels were negatively correlated with telomere lengths in heart failure patients. Overexpression of FOXC1 induced hiPSC-CM aging, mitochondrial and contractile dysfunction; knockdown of FOXC1 rescued these phenotypes. Overall, the work presented demonstrate that increased chromatin accessibility due to telomere shortening resulted in the induction of FOXC1-dependent expression network responsible for contractile dysfunction and myocardial senescence.

Echocardiographic derived pulmonary artery wedge pressure is associated with mortality, heart hospitalizations, and functional capacity in chronic systolic heart failure: insights from the HF-ACTION trial

BACKGROUND

Heart Failure (HF) is associated with increased morbidity and mortality. Identification of patients at risk for adverse events could lead to improved outcomes. Few studies address the association of echocardiographic-derived PAWP with exercise capacity, readmissions, and mortality in HF.

METHODS

HF-ACTION enrolled 2331 outpatients with HF with reduced ejection fraction (HFrEF) who were randomized to aerobic exercise training versus usual care. All patients underwent baseline echocardiography. Echocardiographic-derived PAWP (ePAWP) was assessed using the Nagueh formula. We evaluated the relationship between ePAWP to clinical outcomes.

RESULTS

Among the 2331 patients in the HF-ACTION trial, 2125 patients consented and completed follow-up with available data. 807 of these patients had complete echocardiographic data that allowed the calculation of ePAWP. Of this cohort, mean age (SD) was 58 years (12.7), and 255 (31.6%) were female. The median ePAWP was 14.06 mmHg. ePAWP was significantly associated with cardiovascular death or HF hospitalization (Hazard ratio [HR] 1.02, coefficient 0.016, CI 1.002-1.030, p = 0.022) and all-cause death or HF hospitalization (HR 1.01, coefficient 0.010, CI 1.001-1.020, p = 0.04). Increased ePAWP was also associated with decreased exercise capacity leading to lower peak VO2 (p =  < 0.001), high Ve/VCO2 slope (p =  < 0.001), lower exercise duration (p =  < 0.001), oxygen uptake efficiency (p =  < 0.001), and shorter 6-MWT distance (p =  < 0.001).

CONCLUSIONS

Among HFrEF patients, echocardiographic-derived PAWP was associated with increased mortality, reduced functional capacity and heart failure hospitalization. ePAWP may be a viable noninvasive marker to risk stratify HFrEF patients.

Toward Equitable Kidney Function Estimation in Critical Care Practice: Guidance From the Society of Critical Care Medicine's Diversity, Equity, and Inclusion in Renal Clinical Practice Task Force

OBJECTIVES

Accurate glomerular filtration rate (GFR) assessment is essential in critically ill patients. GFR is often estimated using creatinine-based equations, which require surrogates for muscle mass such as age and sex. Race has also been included in GFR equations, based on the assumption that Black individuals have genetically determined higher muscle mass. However, race-based GFR estimation has been questioned with the recognition that race is a poor surrogate for genetic ancestry, and racial health disparities are driven largely by socioeconomic factors. The American Society of Nephrology and the National Kidney Foundation (ASN/NKF) recommend widespread adoption of new "race-free" creatinine equations, and increased use of cystatin C as a race-agnostic GFR biomarker.

DATA SOURCES

Literature review and expert consensus.

STUDY SELECTION

English language publications evaluating GFR assessment and racial disparities.

DATA EXTRACTION

We provide an overview of the ASN/NKF recommendations. We then apply an Implementation science methodology to identify facilitators and barriers to implementation of the ASN/NKF recommendations into critical care settings and identify evidence-based implementation strategies. Last, we highlight research priorities for advancing GFR estimation in critically ill patients.

DATA SYNTHESIS

Implementation of the new creatinine-based GFR equation is facilitated by low cost and relative ease of incorporation into electronic health records. The key barrier to implementation is a lack of direct evidence in critically ill patients. Additional barriers to implementing cystatin C-based GFR estimation include higher cost and lack of test availability in most laboratories. Further, cystatin C concentrations are influenced by inflammation, which complicates interpretation.

CONCLUSIONS

The lack of direct evidence in critically ill patients is a key barrier to broad implementation of newly developed "race-free" GFR equations. Additional research evaluating GFR equations in critically ill patients and novel approaches to dynamic kidney function estimation is required to advance equitable GFR assessment in this vulnerable population.

The neutrophil-to-apolipoprotein A1 ratio is associated with adverse outcomes in patients with acute decompensated heart failure at different glucose metabolic states: a retrospective cohort study

BACKGROUND

The present study was performed to assess the association between the neutrophil-to-apolipoprotein A1 ratio (NAR) and outcomes in patients with acute decompensated heart failure (ADHF) at different glucose metabolism states.

METHODS

We recruited 1233 patients with ADHF who were admitted to Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from December 2014 to October 2019. The endpoints were defined as composites of cardiovascular death, nonfatal myocardial infarction, nonfatal ischemic stroke and exacerbation of chronic heart failure. The restricted cubic spline was used to determine the best cutoff of NAR, and patients were divided into low and high NAR groups. Kaplan-Meier plots and multivariable Cox proportional hazard models were used to investigate the association between NAR and the risk of adverse outcomes.

RESULTS

During the five-year follow-up period, the composite outcome occurred in 692 participants (56.1%). After adjusting for potential confounding factors, a higher NAR was associated with a higher incidence of composite outcomes in the total cohort (Model 1: HR = 1.42, 95% CI = 1.22-1.65, P<0.001; Model 2: HR = 1.29, 95% CI = 1.10-1.51, P = 0.002; Model 3: HR = 1.20, 95% CI = 1.01-1.42, P = 0.036). At different glucose metabolic states, a high NAR was associated with a high risk of composite outcomes in patients with diabetes mellitus (DM) (Model 1: HR = 1.54, 95% CI = 1.25-1.90, P<0.001; Model 2: HR = 1.40, 95% CI = 1.13-1.74, P = 0.002; Model 3: HR = 1.31, 95% CI = 1.04-1.66, P = 0.022), and the above association was not found in patients with prediabetes mellitus (Pre-DM) or normal glucose regulation (NGR) (both P>0.05).

CONCLUSIONS

The NAR has predictive value for adverse outcomes of ADHF with DM, which implies that the NAR could be a potential indicator for the management of ADHF.

The genetic association between hyperthyroidism and heart failure: a Mendelian randomization study

Background and aims

Hyperthyroidism is an endocrine disease with multiple etiologies and manifestations. Heart failure (HF) is a common, costly, and deadly medical condition in clinical practice. Numerous studies have suggested that abnormal thyroid function can induce or aggravate the development of heart disease. However, no study has demonstrated a causal relationship between hyperthyroidism and heart failure. Therefore, the purpose of this study was to explore the causal link between hyperthyroidism and HF.

Methods

Summary data for genetically predicted hyperthyroidism were obtained from a genetic association study. The data examined for genetically determined all-cause heart failure came from 218,208 individuals from the FinnGen Consortium. Two-sample Mendelian randomization (MR) analysis was used to estimate the causal link between hyperthyroidism and heart failure. Statistical analyses were conducted using the inverse variance-weighted, weighted median, simple median, weighted mode, MR-PRESSO (number of distribution = 5000), MR-Egger, and leave-one-out.

Results

The results of the inverse-variance weighted analysis indicated a causal association between hyperthyroidism and an increased risk of all-cause heart failure (IVW: β=0.048, OR=1.049, 95%CI: [1.013 to 1.087], P=0.007). Similarly, the weighted median approach demonstrated a positive correlation between hyperthyroidism and all-cause heart failure (OR=1.049, [95% CI, 1.001-1.100]; P=0.044). Additionally, no horizontal pleiotropy or heterogeneity was observed. The leave-one-out analysis revealed that the majority of the SNP-driven associations were not influenced by a single genetic marker.

Conclusion

Our study observed a causal relationship between hyperthyroidism and all-cause heart failure. Hyperthyroidism may associate with heart failure genetically.

The impact of obesity on ventilator-associated pneumonia, a US nationwide study

BACKGROUND

Ventilator-associated pneumonia (VAP) is one of the leading causes of mortality in patients with critical care illness. Since obesity is highly prevalent, we wanted to study its impact on the outcomes of patients who develop VAP.

METHODS

Using the National Inpatient Sample (NIS) database from 2017 to 2020, we conducted a retrospective study of adult patients with a principal diagnosis of VAP with a secondary diagnosis with or without obesity according to 10th revision of the International Statistical Classification of Diseases (ICD-10) codes. Several demographics, including age, race, and gender, were analyzed. The primary endpoint was mortality, while the secondary endpoints included tracheostomy, length of stay in days, and patient charge in dollars. Multivariate logistic regression model analysis was used to adjust for confounders, with a p-value less than 0.05 considered statistically significant.

RESULTS

The study included 3832 patients with VAP, 395 of whom had obesity. The mean age in both groups was around 58 years, and 68% of the group with obesity were females compared to 40% in females in the group without obesity. Statistically significant comorbidities in the obesity group included a Charlson Comorbidity Index score of three and above, diabetes mellitus, hypertension, chronic kidney disease, and sleep apnea. Rates and odds of mortality were not significantly higher in the collective obesity group 39 (10%) vs. 336 (8.5%), p-value 0.62, adjusted odds ratio 1.2, p-value 0.61). The rates and odds of tracheostomy were higher in the obesity group but not statistically significant. Obese patients were also found to have a longer hospitalization. Upon subanalysis of the data, no evidence of racial disparities was found in the care of VAP for both the obese and control groups.

CONCLUSIONS

Obesity was not found to be an independent risk factor for worse outcomes in patients who develop VAP in the intensive care unit.

Metabolic syndrome: imaging features and clinical outcomes

Metabolic syndrome, which affects around a quarter of adults worldwide, is a group of metabolic abnormalities characterized mainly by insulin resistance and central adiposity. It is strongly correlated with cardiovascular and all-cause mortality. Early identification of the changes induced by metabolic syndrome in target organs and timely intervention (eg, weight reduction) can decrease morbidity and mortality. Imaging can monitor the main components of metabolic syndrome and identify early the development and progression of its sequelae in various organs. In this review, we discuss the imaging features across different modalities that can be used to evaluate changes due to metabolic syndrome, including fatty deposition in different organs, arterial stiffening, liver fibrosis, and cardiac dysfunction. Radiologists can play a vital role in recognizing and following these target organ injuries, which in turn can motivate lifestyle modification and therapeutic intervention.

Echocardiography-guided percutaneous intramyocardial alginate hydrogel implants for heart failure: canine models with 6-month outcomes

Background

Echocardiography-guided percutaneous intramyocardial alginate-hydrogel implantation (PIMAHI) is a novel treatment approach for heart failure (HF). We validated PIMAHI safety and efficacy in canine HF models.

Methods

Fourteen canines with HF [produced by coronary artery ligation, left ventricular ejection fraction (LVEF) < 35%] were randomised to PIMAHI treatment (n = 8) or controls (n = 6). Echocardiography, two-dimensional speckle tracking echocardiography, and pathological examinations after a 6-month follow-up were performed. Repeated-measures analysis of variance was used for within-group comparisons.

Results

At 6-month follow-up, PIMAHI treatment reversed LV dilation and remodelling, increasing LV free wall thickness (LVFW, p = 0.002) and interventricular septum thickness (IVS, p < 0.001) and reducing LV end-diastolic volume (EDV, p = 0.008) and end-systolic volume (ESV, p = 0.004). PIMAHI significantly improved LV systolic function, increasing LVEF (EF, p = 0.004); enhanced LV myocardial contractility, including increased LV global longitudinal strain (GLS, p < 0.001), global circumferential strain (GCS, p = 0.006), and mitral annulus displacement (MAD, p = 0.001). Compared with controls at 6-month, PIMAHI group significantly increased LVFW thickness (8.5 ± 0.3 vs. 6.8 ± 0.2 mm, p = 0.002) and IVS (7.9 ± 0.1 vs. 6.1 ± 0.2 mm, p < 0.001); decreased LVEDV (30.1 ± 1.6 vs. 38.9 ± 4.5 ml, p = 0.049) and ESV (17.3 ± 1.2 vs. 28.7 ± 3.6 ml, p = 0.004); increased LV systolic function (42.7 ± 1.5 vs. 26.7 ± 1.1% in EF, p = 0.001); and enhanced LV myocardial contractility including GLS (13.5 ± 0.8 vs. 8.4 ± 0.6%, p = 0.002), GCS (16.5 ± 1.4 vs. 9.2 ± 0.6%, p = 0.001), and MAD (11.4 ± 3.5vs 4.6 ± 2.5 mm, p = 0.003). During PIMAHI treatment, no sustained arrhythmia, pericardial, or pleural effusion occurred.

Conclusions

PIMAHI in canine HF models was safe and effective. It reversed LV dilation and improved LV function.

Relationship between stress hyperglycemia ratio and acute kidney injury in patients with congestive heart failure

BACKGROUND

The stress hyperglycemia ratio (SHR) has been demonstrated as an independent risk factor for acute kidney injury (AKI) in certain populations. However, this relationship in patients with congestive heart failure (CHF) remains unclear. Our study sought to elucidate the relationship between SHR and AKI in patients with CHF.

METHODS

A total of 8268 patients with CHF were included in this study. We categorized SHR into distinct groups and evaluated its association with mortality through logistic or Cox regression analyses. Additionally, we applied the restricted cubic spline (RCS) analysis to explore the relationship between SHR as a continuous variable and the occurrence of AKI. The primary outcome of interest in this investigation was the incidence of AKI during hospitalization.

RESULTS

Within this patient cohort, a total of 5,221 (63.1%) patients experienced AKI during their hospital stay. Upon adjusting for potential confounding variables, we identified a U-shaped correlation between SHR and the occurrence of AKI, with an inflection point at 0.98. When the SHR exceeded 0.98, for each standard deviation (SD) increase, the risk of AKI was augmented by 1.32-fold (odds ratio [OR]: 1.32, 95% CI: 1.22 to 1.46). Conversely, when SHR was below 0.98, each SD decrease was associated with a pronounced increase in the risk of AKI.

CONCLUSION

Our study reveals a U-shaped relationship between SHR and AKI in patients with CHF. Notably, we identified an inflection point at an SHR value of 0.98, signifying a critical threshold for evaluating AKI in this population.

Cost-effectiveness of an inpatient nurse practitioner in heart failure

AIMS

Heart failure (HF) nurse practitioners (NPs) are an important part of the HF specialist team, and their impact on the cost-effectiveness of their role is unknown. The aim of this study was to determine the cost-effectiveness of a HF NP inpatient service compared with current practice of no HF NP service from a health system perspective at 12 months and 3 years.

METHODS AND RESULTS

We developed a Markov model to estimate costs, effects, and cost-effectiveness for hospitalized HF patients and seen by a HF NP service compared with usual care at 12 months and 3 years. Costs and effects were taken from a retrospective observational cohort study. Transition probabilities and utilities were derived from published studies. A total of 500 patients were included (250 patients in the HF NP service vs. 250 patients in usual care). Average age was 77.7 ± 11 years, and 54% were male. At 12 months, the HF NP group was cheaper and more effective compared with no HF NP [$23 031 vs. $25 111 (AUD), respectively; quality-adjusted life years (QALYs) were 0.68 in HF NP group compared with 0.66 in usual care]. The incremental cost-effectiveness ratio showed a savings of $109 474 per QALY gained at 12 months and a savings of $270 667 per QALY gained at 3 years in favour of the HF NP service.

CONCLUSION

The HF NP service was cost-effective with lower costs and higher QALYs compared with no HF NP service. Economic evaluations alongside randomized controlled trials are warranted.

Heart failure and economic impact: an analysis in real clinical practice in Italy

Introduction: Heart failure (HF) affects 1% of subjects aged 45-55 and over 10% of subjects aged ≥ 80 and in Italy represents the third leading cause of hospitalization. Objective: To analyse the clinical and economic burden of HF in the Italian real clinical practice. Methods: A retrospective analysis was conducted on the administrative databases of healthcare institutions for 4.2 million health-assisted residents. Between January 2012 and March 2021, patients with a hospital discharge diagnosis for HF were included. Among healthcare utilization and costs, treatments, hospitalizations, and specialist services were evaluated. The HF group was compared with a population without HF (no-HF) similar for age, sex distribution, and cardiovascular risk factors. Results: The same number of patients with (N = 74,085) and without HF (N = 74,085) was included. A profile of cardiovascular comorbidities emerged in the HF group, mainly hypertension (88.6%), cardiovascular disease (61.3%) and diabetes (32.1%). Hospitalizations from any cause were 635.6 vs 429.8/1,000 person-year in the HF vs no-HF group. At one-year follow-up, all-cause mortality was 24.9% in HF patients and 8.4% in no-HF. Resource utilization/patient was respectively 26.8 ± 15.9 vs 17.1 ± 12.5 for medications, 0.8 ± 1.2 vs 0.3 ± 0.8 for hospitalizations, and 9.4 ± 12.6 vs 6.5 ± 9.8 for specialist services. This resource utilization resulted in significantly higher total healthcare costs in the HF group vs no-HF group (€ 5,910 vs € 3,574, p < 0.001), mainly related to hospitalizations (€ 3,702 vs € 1,958). Conclusions: HF patients show a significantly higher clinical and economic burden than no-HF, with total healthcare costs being about 1.7 times the costs of the no-HF group. Keywords: Cardiovascular comorbidities, Healthcare costs, Heart failure, Hospitalizations

Sodium-Glucose Transporter 2 (SGLT2) Inhibitors and Iron Deficiency in Heart Failure and Chronic Kidney Disease: A Literature Review

Heart failure (HF) and chronic kidney disease (CKD) are associated with high mortality. In both disorders, impaired iron homeostasis, mostly in the form of a functional iron deficiency, is a frequent co-morbidity. In HF, functional iron deficiency and management by i.v. iron supplementation have been proven to affect both prognosis and functional capacity. In the same context, iron supplementation is routine for the adequate management of renal anemia in CKD. In numerous recent studies in HF and in CKD, sodium-glucose transporter 2 (SGLT2) inhibitor treatment has been proven to significantly reduce mortality. Furthermore, the same trials showed that these drugs alleviate iron deficiency and anemia. These effects of SGLT2 inhibitors may be due to an amelioration of inflammation with reduced interleukin-6 (IL-6) and to an enhancement of autophagy with increased sirtuin 1 (SIRT1), both associated with modified production of hepcidin and enhanced ferritinophagy. However, the exact pathogenic basis of the beneficial SGLT2 inhibitor action is not fully elucidated. Nevertheless, effects on iron homeostasis might be a potential explanatory mechanism for the powerful SGLT2 inhibitors' cardiovascular and renal outcome benefits. In addition, the interaction between iron supplementation and SGLT2 inhibitors and its potential impact on prognosis remains to be clarified by future studies. This review represents a significant effort to explore the complex relationships involved, seeking to elucidate the intricate mechanisms by which SGLT2 inhibitors influence iron homeostasis.

Impact of a heart failure nurse practitioner service on rehospitalizations, emergency presentations, and survival in patients hospitalized with acute heart failure

AIMS

Heart failure nurse practitioners (HF NPs) are an emerging component of the heart failure (HF) specialist workforce but their impact in an inpatient setting is untested. The aim of this paper is to explore the impact of an inpatient HF NP service on 12-month all-cause rehospitalizations, emergency department (ED) presentations, and mortality in patients hospitalized with HF compared with usual hospital care.

METHODS AND RESULTS

Retrospective, two-group comparative design involving patients (n = 408) admitted via ED with acute HF to a metropolitan quaternary hospital between January 2013 and August 2017. Doubly robust estimation with augmented inverse probability weighting (DR-AIPW) was used to account for the non-random allocation of patients to usual hospital care or the HF NP service in addition to usual in-hospital care. Among 408 patients (186 usual care and 222 HF NP service) admitted with acute HF, the mean age was 76.5 [standard deviation (SD) 12.0] years and 56.4% (n = 230) were male. After IPW adjustment, patients seen by the HF NP service had a lower risk of 12-month rehospitalization (61.3 vs. 78.3% usual care; difference -16.9%, 95% CI: -26.4%, -6.6%) and ED presentations (12.6 vs. 22.0%; difference -9.4%, 95% CI: -17.3%, -1.4%) with no difference in 6- or 12-month mortality. The HF NP service improved referrals to a home visiting programme that was available to HF patients (64.4 vs. 45.4%; difference 19%, 95% CI: 8.8%, 28.8%).

CONCLUSION

Additional support by an inpatient HF NP service has the potential to significantly reduce rehospitalizations and ED presentations over 12 months. Further evidence from a multicentre randomized control trial is warranted.

Characteristics of heart failure in the Amsterdam metropolitan area (AMSTERDAM-HF): Data from a dynamic general practice cohort (2011-2021)

BACKGROUND

Heart failure (HF) is a common cardiac syndrome with a high disease burden and poor prognosis in our aging populations. Understanding the characteristics of patients with newly diagnosed HF is essential for improving care and outcomes. The AMSTERDAM-HF study is aimed to examine the population characteristics of patients with incident HF.

METHODS

We performed a retrospective dynamic cohort study in the Amsterdam general practice network consisting of 904,557 individuals. Incidence HF rates, geographical demographics, patient characteristics, risk factors, symptoms prior to HF diagnosis, and prognosis were reported.

RESULTS

The study identified 10,067 new cases of HF over 6,816,099 person-years. The median age of patients was 77 years (25th-75th percentile: 66-85), and 48% were male. The incidence rate of HF was 213.44 per 100,000 patient-years, and was higher in male versus female patients (incidence rate ratio: 1.08, 95%-CI:1.04-1.13). Hypertension (men 46.3% and women 55.8%), coronary artery disease (men 36% and women 25%) and diabetes mellitus (men 30.5% and women 26.8%) were the most common risk factors. Dyspnoea and oedema were key reported symptoms prior to HF diagnosis. Survival rates at 10-year follow-up were poor, particularly in men (36.4%) compared to women (39.7%). Incidence rates, comorbidity burden and prognosis were worse in city districts with high ethnic diversity and low socio-economic position.

CONCLUSION

Our study provides insights into incident HF in a contemporary Western European, multi-ethnic, urban population. It highlights notable sex, age, and geographical differences in incidence rates, risk factors, symptoms and prognosis.

Patients hospitalized with acute heart failure, worsening renal function, and persistent congestion are at high risk for adverse outcomes despite current medical therapy

INTRODUCTION

Approximately 1/3 of patients with acute decompensated heart failure (ADHF) are discharged with persistent congestion. Worsening renal function (WRF) occurs in approximately 50% of patients hospitalized for ADHF and the combination of WRF and persistent congestion are associated with higher risk of mortality and HF readmissions.

METHODS

We designed a multicenter, prospective registry to describe current treatments and outcomes for patients hospitalized with ADHF complicated by WRF (defined as a creatinine increase ≥0.3 mg/dL) and persistent congestion at 96 h. Study participants were followed during the hospitalization and through 90-day post-discharge. Hospitalization costs were analyzed in an economic substudy.

RESULTS

We enrolled 237 patients hospitalized with ADHF, who also had WRF and persistent congestion. Among these, the average age was 66 ± 13 years and 61% had a left ventricular ejection fraction (LVEF) ≤ 40%. Mean baseline creatinine was 1.7 ± 0.7 mg/dL. Patients with persistent congestion had a high burden of clinical events during the index hospitalization (7.6% intensive care unit transfer, 2.1% intubation, 1.7% left ventricular assist device implantation, and 0.8% dialysis). At 90-day follow-up, 33% of patients were readmitted for ADHF or died. Outcomes and costs were similar between patients with reduced and preserved LVEF.

CONCLUSIONS

Many patients admitted with ADHF have WRF and persistent congestion despite diuresis and are at high risk for adverse events during hospitalization and early follow-up. Novel treatment strategies are urgently needed for this high-risk population.

A Narrative Review on the Impact of Air Pollution on Heart Failure Risk and Exacerbation

Air pollution is a risk factor for many cardiovascular diseases, including heart failure (HF). Although the links between air pollution and HF have been explored, the results are scattered and difficult to piece together into a cohesive story. Therefore, we undertook a narrative review of all aspects of the relationship between HF and air pollution exposure, including risks of developing HF when exposed to air pollution, the exacerbation of HF symptoms by air pollution exposure, and the increased susceptibility that individuals with HF have for air pollution-related health risks. We also examined the literature on environmental justice as well as air pollution interventions for HF. We found substantial evidence linking air pollution exposure to HF incidence. There were a limited number of studies that examined air pollution exposure in clearly defined populations with HF to explore exacerbation of HF or the susceptibility of individuals with HF to air pollution health risks. However, there is substantial evidence that HF-related hospitalisations are increased under air pollution exposure and that the air pollution associated increase in HF-related hospitalisations is greater than hospitalisations for other chronic diseases, supporting links between air pollution and both exacerbation of HF and susceptibility of individuals with HF. There is emerging evidence for interventions that can decrease air pollution health risks for individuals with HF, and more studies are needed, particularly randomised controlled trials. Thus, although the air pollution-related health risks for HF incidence and hospitalisations are clear, further studies specifically targeted at identified data gaps will greatly improve our knowledge of the susceptibility of individuals with HF and interventions to reduce risks.

Co-Occurrence of Social Risk Factors and Associated Outcomes in Patients With Heart Failure

Background Among patients with heart failure (HF), social risk factors (SRFs) are associated with poor outcomes. However, less is known about how co-occurrence of SRFs affect all-cause health care utilization for patients with HF. The objective was to address this gap using a novel approach to classify co-occurrence of SRFs. Methods and Results This was a cohort study of residents living in an 11-county region of southeast Minnesota, aged ≥18 years with a first-ever diagnosis for HF between January 2013 and June 2017. SRFs, including education, health literacy, social isolation, and race and ethnicity, were obtained via surveys. Area-deprivation index and rural-urban commuting area codes were determined from patient addresses. Associations between SRFs and outcomes (emergency department visits and hospitalizations) were assessed using Andersen-Gill models. Latent class analysis was used to identify subgroups of SRFs; associations with outcomes were examined. A total of 3142 patients with HF (mean age, 73.4 years; 45% women) had SRF data available. The SRFs with the strongest association with hospitalizations were education, social isolation, and area-deprivation index. We identified 4 groups using latent class analysis, with group 3, characterized by more SRFs, at increased risk of emergency department visits (hazard ratio [HR], 1.33 [95% CI, 1.23-1.45]) and hospitalizations (HR, 1.42 [95% CI, 1.28-1.58]). Conclusions Low educational attainment, high social isolation, and high area-deprivation index had the strongest associations. We identified meaningful subgroups with respect to SRFs, and these subgroups were associated with outcomes. These findings suggest that it is possible to apply latent class analysis to better understand the co-occurrence of SRFs among patients with HF.

Analysis of the relationship between ambient air pollution and the severity of heart failure decompensations in two Spanish metropolises (Barcelona and Madrid)

OBJECTIVES

To analyze whether the high levels of air pollutants are related to a greater severity of decompensated heart failure (HF).

METHOD

Patients diagnosed with decompensated HF in the emergency department of 4 hospitals in Barcelona and 3 in Madrid were included. Clinical data (age, sex, comorbidities, baseline functional status), atmospheric (temperature, atmospheric pressure) and pollutant data (SO₂, NO₂, CO, O₃, PM₁₀, PM_2.5) were collected in the city on the day of emergency care. The severity of decompensation was estimated using 7-day mortality (primary indicator) and the need for hospitalization, in-hospital mortality, and prolonged hospitalization (secondary indicators). The association adjusted for clinical, atmospheric and city data between pollutant concentration and severity was investigated using linear regression (linearity assumption) and restricted cubic spline curves (no linearity assumption).

RESULTS

A total of 5292 decompensations were included, with a median age of 83 years (IQR=76-88) and 56% women. The medians (IQR) of the daily pollutant averages were: SO₂=2.5μg/m³ (1.4-7.0), NO₂=43μg/m³ (34-57), CO=0.48mg/m³ (0.35-0.63), O₃=35μg/m³ (25-48), PM₁₀=22μg/m³ (15-31) and PM_2.5=12μg/m³ (8-17). Mortality at 7 days was 3.9%, and hospitalization, in-hospital mortality, and prolonged hospitalization were 78.9, 6.9, and 47.5%, respectively. SO₂ was the only pollutant that showed a linear association with the severity of decompensation, since each unit of increase implied an OR for the need for hospitalization of 1.04 (95% CI 1.01-1.08). The restricted cubic spline curves study also did not show clear associations between pollutants and severity, except for SO₂ and hospitalization, with OR of 1.55 (95% CI 1.01-2.36) and 2.71 (95% CI 1.13-6.49) for concentrations of 15 and 24μg/m³, respectively, in relation to a reference concentration of 5μg/m³.

CONCLUSION

Exposure to ambient air pollutants, in a medium to low concentration range, is generally not related to the severity of HF decompensations, and only NO₂ may be associated with an increased need for hospitalization.

Outcomes of Heart Failure Related Hospitalizations During the COVID-19 Pandemic

BACKGROUND

 The incidence and prevalence of heart failure (HF) in the United States has steadily increased in the past few decades. Similarly, the United States has experienced an increase in HF-related hospitalizations which has added to the burden of a resource-stretched healthcare system. With the emergence of the coronavirus disease 2019 (COVID-19) pandemic in 2020, hospitalizations due to the COVID-19 infection sky-rocketed further exacerbating the burden on both patient health and the healthcare system. The focus of this study is to examine how a secondary COVID-19 diagnosis affects the outcome of HF patients, and how a pre-existing diagnosis of heart failure impacts the outcomes of patients hospitalized with COVID-19 infection.

METHODS

This was a retrospective observational study of adult patients hospitalized with heart failure and COVID-19 infection in the United States in the years 2019 and 2020. Analysis was conducted using the National Inpatient Sample (NIS) database of the Healthcare Utilization Project (HCUP). The total number of patients included in this study from the NIS database 2020 was 94,745. Of those, 93,798 had heart failure without a secondary diagnosis of COVID-19; 947 had heart failure along with a secondary diagnosis of COVID-19. The primary outcome of our study was in-hospital mortality, length of stay, total hospital charges and time from admission to right heart catheterization, which were compared between the two cohorts.  Results: Our main study findings are that mortality in HF patients with secondary diagnosis of COVID-19 infection was not statistically different compared to those who were without a secondary diagnosis of COVID-19. Our study findings also showed that length of stay (LOS) and hospital costs in HF patients who had a secondary diagnosis of COVID-19 were not statistically different compared to those who did not have the secondary diagnosis. Time from admission to right heart catheterization (RHC) in HF patients who had a secondary diagnosis of COVID-19 was shorter in heart failure with reduced ejection fraction (HFrEF) but not in heart failure preserved ejection fraction (HFpEF) compared to those without secondary diagnoses of COVID-19. Finally, when evaluating hospital outcomes for patients admitted with COVID-19 infection, we found that inpatient mortality increased significantly when they had a pre-existing diagnosis of heart failure.

CONCLUSION

The COVID-19 pandemic significantly impacted hospitalization outcomes for patients admitted with heart failure. The time from admission to right heart catheterization was significantly shorter in patients admitted with heart failure reduced ejection fraction who also had a secondary diagnosis of COVID-19 infection. When evaluating hospital outcomes for patients admitted with COVID-19 infection, we found that inpatient mortality increased significantly when they had a pre-existing diagnosis of heart failure. Length of hospital stay and hospital charges also were higher for patients with COVID-19 infection who had pre-existing heart failure. Further studies should focus not just on how medical comorbidities like COVID-19 infection, affect outcomes of heart failure but also on how overall strains on the healthcare system, such as pandemics, may affect the management of conditions such as heart failure.

Identifying the patient with heart failure to be treated with vericiguat

The pathophysiology of heart failure with reduced ejection fraction (HFrEF) is a complex process in which a number of neurohormonal systems are involved. Targeting only some of these systems, but not all, translates into a partial benefit of HF treatment. The nitric oxide-soluble guanylate cyclase (sGC)-cGMP pathway is impaired in HF, leading to cardiac, vascular and renal disturbances. Vericiguat is a once-daily oral stimulator of sGC that restores this system. No other disease-modifying HF drugs act on this system. Despite guidelines recommendations, a substantial proportion of patients are not taking all recommended drugs or when taking them, they do so at low doses, limiting their potential benefits. In this context, treatment should be optimized considering different parameters, such as blood pressure, heart rate, renal function, or potassium, as they may interfere with their implementation at the recommended doses. The VICTORIA trial showed that adding vericiguat to standard therapy in patients with HFrEF significantly reduced the risk of cardiovascular death or HF hospitalization by 10% (NNT 24). Furthermore, vericiguat does not interfere with heart rate, renal function or potassium, making it particularly useful for improving the prognosis of patients with HFrEF in specific settings and clinical profiles.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Sex differences in ventricular arrhythmias epidemiology, risk factors, and mortality in congestive heart failure

BACKGROUND

Female patients are underrepresented in randomized controlled clinical trials and registries of ventricular arrhythmia (VA). Personalized prevention and therapies require an understanding of sex differences in risk factors and prognosis of VA.

OBJECTIVE

We aimed to assess sex differences in the incidence, risk factors, and mortality of VA in congestive heart failure (HF) patients.

METHODS

This study included 10,889 patients (mean [SD] age, 73.8 [13.4] years; 5917 [53.8%] male) with congestive HF, of which 1555 (14.3%) patients developed VA during hospitalization. VA incidence, potential risk factors, and in-hospital mortality were evaluated in both sexes.

RESULTS

Men were more strongly associated with incident VA compared with women (odds ratio [OR]: 2.006, 95% CI: 1.790-2.248, p < 0.001). Thirteen potential predictors, which accounted for 91.0% of the risk of VA in men and 88.2% in women, were included in this study. There were significant interactions by sex in the association between incident VA, atrial fibrillation (AF) (relative risk ratio = 0.730, 95% CI: 0.571-0.933, interaction p = 0.012), and non-ischemic cardiomyopathy (NICM) (relative risk ratio = 1.391, 95% CI: 1.029-1.872, interaction p = 0.030). Congestive HF patients developed with VA had an approximately 1.5-fold risk of in-hospital mortality, which was not affected by sex.

CONCLUSIONS

In congestive HF patients, incident VA was an independent risk factor of in-hospital mortality, and male sex was strongly associated with an increased risk of VA. Awareness of sex differences in the association of AF and NICM with VA may enhance therapeutic decisions, thus improving their clinical outcomes.

Effects of empagliflozin on cardiovascular and renal outcomes in heart failure with reduced ejection fraction according to age: a secondary analysis of EMPEROR-Reduced

AIMS

Empagliflozin improves cardiovascular and renal outcomes in patients with heart failure (HF) and reduced ejection fraction (HFrEF), but its efficacy and safety across patient's age is not well established.

METHODS AND RESULTS

We assessed the effects of empagliflozin (10 mg daily) versus placebo, on top of standard HF therapy, in symptomatic HFrEF patients with a left ventricular ejection fraction ≤40% and increased natriuretic peptides stratified by age (<65, 65-74, ≥75 years). The primary endpoint was a composite of cardiovascular death or HF hospitalization. Key secondary endpoints included first and recurrent HF hospitalizations and slope of change in estimated glomerular filtration rate (eGFR); the latter was supported by an analysis of a renal composite endpoint (chronic dialysis or renal transplantation or profound and sustained reduction in eGFR). Of 3730 patients, 38% were <65 years, 35% were 65-74 years and 27% were ≥75 years. Compared with placebo, empagliflozin reduced the primary endpoint consistently across the three age groups (hazard ratio 0.71 [95% confidence interval 0.57-0.89] for <65 years, 0.72 [0.57-0.93] for 65-74 years, 0.86 [0.67-1.10] for ≥75 years, interaction p-trend test = 0.24). The effects of empagliflozin were also consistent across age groups for key secondary endpoints of first and recurrent HF hospitalization (p-trend = 0.30), the rate of decline in eGFR (p-trend = 0.78) and the renal composite (p-trend = 0.94). Adverse events (AEs), serious AEs and AEs leading to drug discontinuation increased with age in both treatment arms, but empagliflozin did not increase their incidence over placebo within each age group.

CONCLUSION

The efficacy and safety of empagliflozin in improving cardiovascular and renal outcomes in HFrEF was consistent across the spectrum of age, including older patients (aged ≥75).

Investigating the Association Between Telemedicine Use and Timely Follow-Up Care After Acute Cardiovascular Hospital Encounters

Background

Telemedicine use increased dramatically during the COVID-19 pandemic; however, questions remain as to how telemedicine use impacts care.

Objectives

The purpose of this study was to examine the association of increased telemedicine use on rates of timely follow-up and unplanned readmission after acute cardiovascular hospital encounters.

Methods

We examined hospital encounters for acute coronary syndrome, arrhythmia disorders, heart failure (HF), and valvular heart disease from a large U.S., multisite, integrated academic health system among patients with established cardiovascular care within the system. We evaluated 14-day postdischarge follow-up and 30-day all-cause unplanned readmission rates for encounters from the pandemic "steady state" period from May 24, 2020 through December 31, 2020, when telemedicine use was high and compared them to those of encounters from the week-matched period in 2019 (May 26, 2019, through December 31, 2019), adjusting for patient and encounter characteristics.

Results

The study population included 6,026 hospital encounters. In the pandemic steady-state period, 40% of follow-ups after these encounters were conducted via telemedicine vs 0% during the week-matched period in 2019. Overall, 14-day follow-up rates increased from 41.7% to 44.9% (adjusted difference: +2.0 percentage points [pp], 95% CI: -1.1 to +5.1 pp, P = 0.20). HF encounters experienced the largest improvement from 50.1% to 55.5% (adjusted difference: +6.5 pp, 95% CI: +0.5 to +12.4 pp, P = 0.03). Overall 30-day all-cause unplanned readmission rates fell slightly, from 18.3% to 16.9% (adjusted difference -1.6 pp; 95% CI: -4.0 to +0.8 pp, P = 0.20).

Conclusions

Increased telemedicine use during the COVID-19 pandemic was associated with earlier follow-ups, particularly after HF encounters. Readmission rates did not increase, suggesting that the shift to telemedicine did not compromise care quality.

Left Ventricular Geometry and Angiogenesis Improvement in Rat Chronic Ischemic Cardiomyopathy following Injection of Encapsulated Mesenchymal Stem Cells

OBJECTIVE

Injection of hydrogel and cells into myocardial infarction (MI) patients is one of the emerging treatment techniques, however, it has some limitations such as a lack of electromechanical properties and neovascularization. We investigated the therapeutic potential of new electroactive hydrogel [reduced graphene oxide (rGO)/Alginate (ALG)] encapsulated human bone marrow mesenchymal stem cells (BMSCs).

MATERIALS AND METHODS

The experimental study involved ligating the left anterior descending coronary artery (LAD) in rat models of chronic ischemic cardiomyopathy. Echocardiograms were analyzed at 4 and 8 weeks after MI treatment. In the eighth week after injection in the heart, the rats were sacrificed. Histological and immunohistochemical analyses were performed using Hematoxylin and Eosin (H and E) staining, Masson's trichrome staining and anti-CD31 antibody to analyze tissue structure and detect neovascularization.

RESULTS

In comparison to the control and other treatment groups, MSCs encapsulated in rGO-ALG showed significant improvements in fractional shortening (FS), ejection fraction (EF), wall thickness and internal diameters (P<0.05). The morphological observation showed several small blood vessels formed around the transplantation site in all treated groups especially in the MSC-ALG-rGO group 8 weeks after the transplantation. Also, Masson's trichrome staining indicated an increased amount of collagen fibers in rGO-ALG-MSC. Microvessel density was significantly higher using MSC-ALG-rGO compared to controls (P<0.01).

CONCLUSION

This study demonstrates that intramyocardial injection of rGO/ALG, a bio-electroactive hydrogel, is safe for increasing LV function, neovascularization, and adjusting electrical characteristics following MI. The results confirm ALG promising capability as a natural therapeutic for cardiac regeneration.

Factors associated with racial differences in all-cause 30-day readmission in adults with cardiovascular disease: an observational study of a large healthcare system

OBJECTIVE

To examine factors contributing to racial differences in 30-day readmission in patients with cardiovascular disease (CVD).

DESIGN

Patients were enrolled from 1 January 2015 to 31 August 2017 and data were collected from electronic health records and a standardised interview administered prior to discharge.

SETTING

Duke Heart Center in the Duke University Health System.

PARTICIPANTS

Patients aged 18 and older admitted for the treatment of cardiovascular-related conditions (n=734).

MAIN OUTCOME AND MEASURES

All-cause readmission within 30 days was the main outcome. Multivariate logistic regression models were used to examine whether and to what extent socioeconomic, psychosocial, behavioural and healthcare-related factors contributed to 30-day readmissions in Black and White CVD patients.

RESULTS

The median age of patients was 66 years and 18.1% (n=133) were readmitted within 30 days after discharge. Black patients were more likely than White patients to be readmitted (OR 1.62; 95% CI 1.18 to 2.23) and the racial difference in readmissions was largely reduced after taking into account differences in a wide range of clinical and non-clinical factors (OR 1.37; 95% CI 0.98 to 1.91). In Black patients, readmission risks were especially high in those who were retired (OR 3.71; 95% CI 1.71 to 8.07), never married (OR 2.21; 95% CI 1.21 to 4.05), had difficulty accessing their routine care (OR 2.88; 95% CI 1.70 to 4.88) or had been hospitalised in the prior year (OR 1.97; 95% CI 1.16 to 3.37). In White patients, being widowed (OR 2.39; 95% CI 1.41 to 4.07) and reporting a higher number of depressive symptoms (OR 1.07; 95% CI 1.00 to 1.13) were the key factors associated with higher risks of readmission.

CONCLUSIONS AND RELEVANCE

Black patients were more likely than White patients to be readmitted within 30 days after hospitalisation for CVD. The factors contributing to readmission differed by race and offer important clues for identifying patients at high risk of readmission and tailoring interventions to reduce these risks.

Duration of Diabetes, Glycemic Control, and Risk of Heart Failure Among Adults With Diabetes: A Cohort Study

CONTEXT

The influences of diabetes duration and glycemic control and their potential interplays on the risk of heart failure (HF) remain unclear.

OBJECTIVE

This work aimed to investigate the association of diabetes duration and glycemic control with the risk of HF.

METHODS

A total of 23 754 individuals with diabetes but without HF during the baseline recruitment of UK Biobank were included in this study. Duration of diabetes was self-reported, and the status of glycemic control was reflected by glycated hemoglobin A1c (HbA1c) levels. Their associations with incident HF were assessed using multivariate Cox models adjusting for traditional risk factors.

RESULTS

Duration of diabetes and HbA1c levels both were positively associated with the risk of HF. The hazard ratios (HRs) (95% CI) for diabetes durations of 5 to less than 10, 10 to less than 15, and 15 years or more were 1.09 (0.97-1.23), 1.13 (0.97-1.30), and 1.32 (1.15-1.53), respectively (vs < 5 years); and the HRs for HbA1c of 53.0 to less than 58.5 mmol/mol (7.0% to < 7.5%), 58.5 to less than 63.9 mmol/mol (7.5% to < 8.0%), and 63.9 mmol/mol or greater (8.0%) were 1.15 (1.02-1.31), 1.07 (0.91-1.26), and 1.46 (1.30-1.65), respectively (vs < 53.0 mmol/mol [7.0%]). Individuals with the longest disease duration (≥ 15 years) and poorer glycemic control (HbA1c  ≥ 63.9 mmol/mol [8.0%]) had a particularly higher risk of HF (P for interaction = .026).

CONCLUSION

The risk of HF among individuals with diabetes increases with a longer duration of diabetes and increasing HbA1c levels. This finding may contribute to the individualized prevention of HF in patients with diabetes if being considered in clinical practices and policy-making.

Imaging techniques for the assessment of adverse cardiac remodeling in metabolic syndrome

Metabolic syndrome (MetS) includes different metabolic conditions (i.e. abdominal obesity, impaired glucose tolerance, hypertriglyceridemia, decreased HDL cholesterol, and/or hypertension) that concour in the development of cardiovascular disease and diabetes. MetS individuals often show adverse cardiac remodeling and myocardial dysfunction even in the absence of overt coronary artery disease or valvular affliction. Diastolic impairment and hypertrophy are hallmarks of MetS-related cardiac remodeling and represent the leading cause of heart failure with preserved ejection fraction (HFpEF). Altered cardiomyocyte function, increased neurohormonal tone, interstitial fibrosis, coronary microvascular dysfunction, and a myriad of metabolic abnormalities have all been implicated in the development and progression of adverse cardiac remodeling related to MetS. However, despite the enormous amount of literature produced on this argument, HF remains a leading cause of morbidity and mortality in such population. The early detection of initial adverse cardiac remodeling would enable the optimal implementation of effective therapies aiming at preventing the progression of the disease to the symptomatic phase. Beyond conventional imaging techniques, such as echocardiography, cardiac tomography, and magnetic resonance, novel post-processing tools and techniques provide information on the biological processes that underlie metabolic heart disease. In this review, we summarize the pathophysiology of MetS-related cardiac remodeling and illustrate the relevance of state-of-the-art multimodality cardiac imaging to identify and quantify the degree of myocardial involvement, prognosticate long-term clinical outcome, and potentially guide therapeutic strategies.

Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients

BACKGROUND

Surgical mechanical ventricular assistance and cardiac replacement therapies, although life-saving in many heart failure (HF) patients, remain high-risk. Despite this, the difficulty in timely identification of medical therapy nonresponders and the dire consequences of nonresponse have fueled early, less selective surgical referral. Patients who would have ultimately responded to medical therapy are therefore subjected to the risk and life disruption of surgical therapy.

OBJECTIVES

The purpose of this study was to develop deep learning models based upon commonly-available electronic health record (EHR) variables to assist clinicians in the timely and accurate identification of HF medical therapy nonresponders.

METHODS

The study cohort consisted of all patients (age 18 to 90 years) admitted to a single tertiary care institution from January 2009 through December 2018, with International Classification of Disease HF diagnostic coding. Ensemble deep learning models employing time-series and densely-connected networks were developed from standard EHR data. The positive class included all observations resulting in severe progression (death from any cause or referral for HF surgical intervention) within 1 year.

RESULTS

A total of 79,850 distinct admissions from 52,265 HF patients met observation criteria and contributed >350 million EHR datapoints for model training, validation, and testing. A total of 20% of model observations fit positive class criteria. The model C-statistic was 0.91.

CONCLUSIONS

The demonstrated accuracy of EHR-based deep learning model prediction of 1-year all-cause death or referral for HF surgical therapy supports clinical relevance. EHR-based deep learning models have considerable potential to assist HF clinicians in improving the application of advanced HF surgical therapy in medical therapy nonresponders.

Individualizing the treatment of patients with heart failure with reduced ejection fraction: a journey from hospitalization to long-term outpatient care

INTRODUCTION

: Despite the relevant advances achieved thanks to the traditional step-by-step therapeutic approach, heart failure with reduced ejection fraction (HFrEF) remains associated with considerable morbidity and mortality. The pathogenesis of HFrEF is complex, with the implication of various neurohormonal systems, including activation of deleterious pathways (i.e. renin-angiotensin-aldosterone, sympathetic, and sodium-glucose cotransporter-2 [SGLT2] systems) and the inhibition of protective pathways (i.e. natriuretic peptides and the guanylate cyclase system). Therefore, the burden of HF can only be reduced through a comprehensive approach that involves all evidence-based use of available HF drugs targeting the neurohormonal systems involved.

AREAS COVERED

: We performed a critical analysis of evidence from recent clinical trials and assessed the effects of HF therapies on hemodynamics and renal function.

EXPERT OPINION

: HF therapy must be adapted to the clinical profile (i.e. congestion, blood pressure, heart rate, renal function, and electrolytes). Consequently, blood pressure is reduced by beta blockers, renin-angiotensin-aldosterone system inhibitors, sacubitril/valsartan, and, minimally, by SGLT2 inhibitors and vericiguat; heart rate decreases with beta blockers and ivabradine; and renal function is impaired and potassium are levels increased with renin-angiotensin-aldosterone system inhibitors and sacubitril/valsartan. Practical recommendations on how to individualize HF therapy according to patient profile are provided.

External validation and comparison of two delirium prediction models in patients admitted to the cardiac intensive care unit

Background

No data is available on delirium prediction models in the cardiac intensive care unit (CICU), although preexisting delirium prediction models [PREdiction of DELIRium in ICu patients (PRE-DELIRIC) and Early PREdiction of DELIRium in ICu patients (E-PRE-DELIRIC)] were developed and validated based on a population admitted to the general intensive care unit (ICU). Therefore, we externally validated the usefulness of the PRE-DELIRIC and E-PRE-DELIRIC models and compared their predictive performance in patients admitted to the CICU.

Methods

A total of 2,724 patients admitted to the CICU were enrolled between September 2012 and December 2018. Delirium was defined as at least one positive Confusion Assessment Method for the ICU (CAM-ICU) which was screened at least once every 8 h. The PRE-DELIRIC value was calculated within 24 h of CICU admission, and the E-PRE-DELIRIC value was calculated at CICU admission. The predictive performance of the models was evaluated by using the area under the receiver operating characteristic (AUROC) curve, and the calibration slope was assessed graphically by plotting.

Results

Delirium occurred in 677 patients (24.8%) when the patients were assessed thrice daily until 7 days of the CICU stay. The AUROC curve for the prediction of delirium was significantly greater for PRE-DELIRIC values [0.84, 95% confidence interval (CI): 0.82–0.86] than for E-PRE-DELIRIC values (0.79, 95% CI: 0.77–0.80) [z score of −6.24 (p < 0.001)]. Net reclassification improvement for the prediction of delirium increased by 0.27 (95% CI: 0.21–0.32, p < 0.001). Calibration was acceptable in the PRE-DELIRIC model (Hosmer-Lemeshow p = 0.170) but not in the E-PRE-DELIRIC model (Hosmer-Lemeshow p < 0.001).

Conclusion

Although both models have good predictive performance for the development of delirium, even in critically ill cardiac patients, the performance of the PRE-DELIRIC model might be superior to that of the E-PRE-DELIRIC model. Further studies are required to confirm our results and design a specific delirium prediction model for CICU patients.

Expenditure on Heart Failure in the United States: The Medical Expenditure Panel Survey 2009-2018

BACKGROUND

With rising United States health care expenditure, estimating current spending for patients with heart failure (HF) informs the value of preventative health interventions.

OBJECTIVES

The purpose of this study was to estimate current health care expenditure growth for patients with HF in the United States.

METHODS

The authors pooled MEPS (Medical Expenditure Panel Survey) data from 2009-2018 to calculate total HF-related expenditure across clinical settings in the United States. A 2-part model adjusted for demographics, comorbidities, and year was used to estimate annual mean and incremental expenditures associated with HF.

RESULTS

In the United States, an average of $28,950 (2018 inflation-adjusted dollars) is spent per year for health care-related expenditure for individuals with HF compared with $5,727 for individuals without HF. After adjusting for demographics and comorbidities, a diagnosis of HF was associated with $3,594 in annual incremental expenditure compared with those without HF. HF-related expenditure increased from $26,864 annual per person in 2009-2010 to $32,955 in 2017-2018, representing a 23% rise over 10 years. In comparison, expenditure on myocardial infarction, type 2 diabetes mellitus, and cancer grew by 16%, 28%, and 16%, respectively. Most of the cost was related to hospitalization: $12,569 per year. Outpatient office-based care and prescription medications saw the greatest growth in cost over the period, 41% and 24%, respectively. Estimated incremental national expenditure for HF per year was $22.3 billion; total annual expenditure for adults with HF was $179.5 billion.

CONCLUSIONS

HF is a costly condition for which expenditure is growing faster than that of other chronic conditions.

Thirty-Day and 90-Day Episode of Care Spending Following Heart Failure Hospitalization Among Medicare Beneficiaries

BACKGROUND:

Despite growing interest in value-based models, utilization patterns and costs for heart failure (HF) admissions are not well understood. We sought to characterize Medicare spending for patients with HF for 30- and 90-day episodes of care (which include an index hospitalization and 30 or 90 days following discharge) and to describe the patterns of post-acute care spending.

METHODS:

Using Medicare fee-for-service administrative claims data from 2016 to 2018, we performed a retrospective analysis of patients discharged after hospitalization with primary discharge diagnoses of systolic HF, diastolic HF, hypertensive heart disease (HHD) with HF, and HHD with HF and chronic kidney disease. We analyzed coding patterns across these groups over time, median 30- and 90-day payments, and costs allocated to index hospitalization and postacute care.

RESULTS:

The study included 935 962 patients discharged following hospitalization for HF (systolic HF: 178 603; diastolic HF: 165 156; HHD with HF: 226 929; HHD with HF and chronic kidney disease: 365 274). The proportion of HHD codes increased from 26% of HF hospitalizations in 2016 to 91% in 2018. There was substantial spending on 30-day (median $13 330, interquartile range $9912–$22 489) and 90-day episodes (median $21 658, interquartile range $12 423–$37 630) for HF with significant variation, such that the third quartile of patients incurred costs 3 times the amount of the first quartile. Across all codes, the index hospitalization accounted for ≈70% of 30-day and 45% of 90-day spending. Sixty-one percent of postacute care spending occurred 31 to 90 days following discharge, with readmissions and observation stays (36%) and skilled nursing facilities (27%) comprising the largest categories.

CONCLUSIONS:

This patient episode-level analysis of contemporary Medicare beneficiaries is the first to examine 90-day spending, which will become an increasingly important pasyment benchmark with the expansion of the Medicare Bundled Payments for Care Improvement Program. Further investigation into the drivers of costs will be essential to provide high-value HF care.

Improving Clinical Trial Efficiency Using a Machine Learning Based Risk Score to Enrich Study Populations

AIMS

Prognostic enrichment strategies can make trials more efficient, although potentially at the cost of diminishing external validity. Whether using a risk score to identify a population at increased mortality risk could improve trial efficiency is uncertain. We aimed to assess whether Machine learning Assessment of RisK and EaRly mortality in Heart Failure (MARKER-HF), a previously validated risk score, could improve clinical trial efficiency.

METHODS AND RESULTS

Mortality rates and association of MARKER-HF with all-cause death by one year was evaluated in four community-based heart failure (HF) and five HF clinical trial cohorts. Sample size required to assess effects of an investigational therapy on mortality was calculated assuming varying underlying MARKER-HF risk and proposed treatment effect profiles. Patients from community-based HF cohorts (n=11,297) had higher observed mortality and MARKER-HF scores than did clinical trial patients (n=13,165) with HF with either reduced ejection fraction (HFrEF) or preserved ejection fraction (HFpEF). MARKER-HF score was strongly associated with risk of one-year mortality both in the community (HR 1.48 [95% CI: 1.44-1.52]) and clinical trial cohorts with HFrEF (HR 1.41 [95% CI: 1.30-1.54]), and HFpEF (HR 1.74 [95% CI: 1.53-1.98]), per 0.1 increase in MARKER-HF. Using MARKER-HF to identify patients for a hypothetical clinical trial assessing mortality reduction with an intervention, enabled a reduction in sample size required to show benefit.

CONCLUSION

Using a reliable predictor of mortality such as MARKER-HF to enrich clinical trial populations provides a potential strategy to improve efficiency by requiring a smaller sample size to demonstrate a clinical benefit.

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.

Association of readmission penalty amount with subsequent 30-day risk standardized readmission and mortality rates among patients hospitalized with heart failure: An analysis of get with the guidelines - heart failure participating centers

BACKGROUND

The Hospital Readmissions Reduction Program penalizes hospitals with excess 30-day risk-standardized readmission rates (RSRR) for heart failure (HF). The association of financial penalty amount with subsequent short-term clinical outcomes is unknown.

METHODS

Patients admitted to American Heart Association Get With The Guidelines-HF registry participating centers from October 1, 2012 through December 1, 2015 who had Medicare-linked data were included. October 2012 hospital-specific penalty amounts were calculated based on diagnosis-related group payments and excess readmission ratios. Adjusted Cox models were created to evaluate the association of penalty amount categories (non-penalized: 0%; low-penalized: >0%-<0.50%; mid-penalized ≥0.50%-<0.99%; high-penalized ≥0.99%) with subsequent 30-day RSRR and risk-standardized mortality rates (RSMR). Trends in post-discharge 30-day RSRR and RSMR from 2012 to 2015 were analyzed across hospitals stratified by penalty amount categories.

RESULTS

The present study included 61,329 patients who were admitted across 262 hospitals. Compared with patients admitted to non-penalized hospitals (36.3%), those admitted to increasingly penalized hospitals were more likely to have higher 30-day RSRR (low-penalized [43.9%]: HR, 1.10 [95% CI, 1.04-1.16]; mid-penalized [12.0%]: HR, 1.07 [95% CI, 0.99-1.16]; high-penalized [7.9%]: HR, 1.23 [95% CI, 1.12-1.35]) but not 30-day RSMR. Over time, 30-day RSRR and RSMR did not meaningfully change across penalized versus non-penalized hospitals.

CONCLUSIONS

Financial penalties based on 30-day RSRR are not associated with declines in 30-day RSRR or RSMR from 2012 to 2015 among patients hospitalized with HF. Financially penalizing hospitals based on current Hospital Readmissions Reduction Program metrics may not incentivize improvements in short-term clinical outcomes for HF.

Use and diagnostic value of liver enzyme tests in the emergency department and subsequent heart failure diagnosis: a retrospective cohort study

OBJECTIVES

To determine (1) if liver function tests (LFTs) are ordered in the emergency department (ED) in patients with suspected acute decompensated heart failure (ADHF) and (2) if the pattern of LFT abnormalities are meaningfully associated with a discharge diagnosis of ADHF among patients for whom these tests were ordered.

SETTING

We conducted a single-centre retrospective cohort study of patients with suspected ADHF who were seen in an academic tertiary ED using electronic medical records.

PARTICIPANTS

All ED patients admitted with suspected ADHF from January 2017 to May 2018, defined as any patient who had a brain natriuretic peptide (BNP) ordered.

PRIMARY OUTCOME

The primary outcome was ADHF diagnosis at discharge.

RESULTS

In 5323 ED patients with suspected ADHF, 60% (n=3184) had LFTs ordered; 34.6% were abnormal. Men comprised 56% of patients with abnormal LFTs and the average age was 67 years. The odds of a final diagnosis of ADHF in the univariate analysis was 59% higher in patients with abnormal LFTs (OR=1.59, (95% CI 1.35 to 1.87) p<0.001) and remained significant though attenuated after adjusting for BNP, race and ethnicity and age (ORadj=1.31 (95% CI 1.09 to 1.57), p=0.004). Likelihood ratios for abnormal and normal LFTs were 1.2 (95% CI 1.21 to 1.28) and 0.76 (95% CI 0.68 to 0.84), respectively.

CONCLUSIONS

A significant proportion (40%) of patients with suspected ADHF was missing LFTs in their ED workup. Among patients with LFTs, abnormal LFTs are associated with discharge diagnosis of ADHF after accounting for potential confounders, but their diagnostic value was relatively low. Future prospective studies are warranted to explore the role of LFTs in the workup of ADHF.