Non-cardiovascular Hospitalizations Research Articles

Influence of multimorbidity and socioeconomic position on long-term healthcare utilization and prognosis in patients after cardiac resynchronization therapy implantation.

We aimed to investigate the influence of socioeconomic position (SEP) and multimorbidity on cross-sectional healthcare utilization and prognosis in patients after cardiac resynchronization therapy (CRT) implantation. We included first-time CRT recipients with left ventricular ejection fraction ≤35% implanted between 2000 and 2017. Data on chronic conditions, use of healthcare services, and demographics were obtained from Danish national administrative and health registries. Healthcare utilization (in- and outpatient hospitalizations, activities in general practice) was compared by multimorbidity categories and SEP by using a negative binomial regression model. The association between SEP, multimorbidity, and prognostic outcomes was analysed using Cox proportional hazards regression. We followed 2007 patients (median age of 70 years), 79% were male, 75% were on early retirement or state pension, 37% were living alone, and 41% had low education level for a median of 5.2 [inter-quartile range: 2.2-7.3) years. In adjusted regression models, a higher number of chronic conditions were associated with increased healthcare utilization. Both cardiovascular and non-cardiovascular hospital contacts were increased. Patients with low SEP had a higher number of chronic conditions, but SEP had limited influence on healthcare utilization. Patients living alone and those with low educational level had a trend towards a higher risk of all-cause mortality [adjusted hazard ratio (aHR): 1.17, 95% confidence interval (CI) 1.03-1.33, and aHR 1.09, 95% CI 0.96-1.24). Multimorbidity increased the use of cross-sectional healthcare services, whereas low SEP had minor influence on the utilizations. Living alone and low educational level showed a trend towards a higher risk of mortality after CRT implantation.

Cause-Specific Healthcare Costs Following Hospitalization for Heart Failure and Cost Offset With SGLT2 Inhibitor Therapy

BackgroundLittle is known regarding differences in cause-specific costs between heart failure (HF) with ejection fraction (EF) ≤40% vs >40%, and potential cost implications of sodium-glucose cotransporter 2 inhibitor (SGLT2i) therapy. ObjectivesThe study sought to compare cause-specific health care costs following hospitalization for HF with EF ≤40% vs >40% and estimate the cost offset with implementation of SGLT2i therapy. MethodsThe authors examined Medicare beneficiaries hospitalized for HF in the Get With The Guidelines–Heart Failure registry from 2016 to 2020. Mean per-patient total (excluding drug costs) and cause-specific costs from discharge through 1-year follow-up were calculated and compared between EF ≤40% vs >40%. The authors then estimated risk reductions on total all-cause and HF hospitalizations in a trial-level meta-analysis of 5 pivotal trials of SGLT2is in HF. Finally, they applied these relative treatment effects to Medicare beneficiaries eligible for SGLT2is to estimate the projected cost offset with implementation of SGLT2is, excluding drug costs. ResultsAmong 146,003 patients, 50,598 (34.7%) had EF ≤40% and 95,405 (65.3%) had EF >40%. Mean total cost through 1 year was $40,557. Total costs were similar between EF groups overall but were higher for EF ≤40% among patients surviving the 1-year follow-up period. Patients with EF >40% had higher costs caused by non-HF and noncardiovascular hospitalizations, and skilled nursing facilities (all P < 0.001). Trial-level meta-analysis of the 5 SGLT2i clinical trials estimated 11% (rate ratio: 0.89; 95% CI: 0.84-0.93; P < 0.001) and 29% (rate ratio: 0.71; 95% CI: 0.66-0.76; P < 0.001) relative reductions in rates of total all-cause and HF hospitalizations, respectively, regardless of EF. Reductions in all-cause and HF hospitalizations were projected to reduce annual costs of readmission by $2,451 to $2,668 per patient with EF ≤40% and $1,439 to 2,410 per patient with EF >40%. ConclusionsIn this large cohort of older U.S. adults hospitalized for HF, cause-specific costs of care differed among patients with EF ≤40% vs >40%. SGLT2is significantly reduced the rate of HF and all-cause hospitalizations irrespective of EF in clinical trials, and implementation of SGLT2is in clinical practice is projected to reduce costs by $1,439 to 2,668 per patient over the 1 year postdischarge, excluding drug costs.

End of life after transcatheter aortic valve implantation

Abstract Background Survival after transcatheter aortic valve implantation (TAVI) has drastically improved over time. Thus, patients may be more susceptible to experience multimorbidity and non-cardiovascular hospitalizations in their final years of life; however, the extent of which comorbidities impact end of life after TAVI is unknown. Purpose To describe end of life after TAVI in terms of the burden and causes of hospitalization compared with non-TAVI controls from the general population. Methods All Danish patients who underwent TAVI during 2008–2021 were identified at date of death. Patients who died within one year from TAVI were excluded. Matching was performed on sex, age at death, and calendar year of death in a 1:10 ratio. Patient characteristics at time of death were reported. Cumulative time in hospital was calculated and compared for the TAVI group and matched controls. Further, the cause for all inpatient hospitalizations were categorized as heart failure, cardiovascular (excluding heart failure), non-cardiovascular, and symptoms (e.g., dyspnea, vomiting) according to the primary discharge code. Results After exclusion, 2,041 deaths among patients with TAVI (median time from TAVI to death: 1,352 days [25th-75th percentile: 841–1,980]) were matched to 20,410 deaths among controls (standardized mean differences &amp;lt; 0.1 for all matching variables). Due to matching, age was 86 years, and 54.7% were males in both groups. However, frailty was higher in the TAVI group (frail TAVI group: 86.5% vs. controls: 76%). Cardiovascular and non-cardiovascular comorbidity burden was higher in the TAVI group (e.g., heart failure: 57.6% vs. 18.4%; chronic obstructive pulmonary disease: 27.9% vs. 18.8%; chronic kidney disease: 25.7% vs. 12.9%). However, history of cancer was lower in the TAVI group (21.7% vs. 26.3%). Time in hospital in the last year of life was higher in the TAVI group: 27.2% were hospitalized &amp;gt;28 days and 11.5% were never hospitalized compared with 17.1% and 22.7% for controls, respectively (Figure 1). In both groups, non-cardiovascular hospitalizations were most common towards end of life. Indeed, 70.5% of hospitalizations during the last year of life for TAVI patients were due to non-cardiovascular causes. Moreover, in both groups, non-cardiovascular hospitalizations became more frequent closer to time of death (Figure 2). However, heart failure hospitalizations were more common in the TAVI group compared with controls. Conclusion End of life for TAVI patients was characterized by substantial multimorbidity and hospitalizations are frequent. Although heart failure hospitalizations were more common for TAVI patients than their matched controls, non-cardiovascular hospitalizations were more frequent in both groups. This highlights the need for a multidisciplinary approach to improve quality of life towards end of life after TAVI.Figure 1

Association of Postexercise Vagal Dysfunction With Protein-Energy Wasting and Noncardiovascular Outcomes in Patients Receiving Hemodialysis: A Retrospective Cohort Study

Post-exercise vagal dysfunction is linked to non-cardiovascular mortality in hemodialysis patients, but the mechanism is unknown. This study aimed to determine the association of cardiovagal neuropathy with systemic inflammation, protein-energy wasting (PEW), and non-cardiovascular hospitalization. This two-center retrospective cohort study analyzed data from 280 hemodialysis patients who underwent exercise test. Patients were assessed for heart rate (HR) recovery (bpm) for 1 minute after exercise, a marker of vagal function, and were divided into three categories (Low: ≤ 6, Mid: 7-11, High: ≥ 12 bpm). We followed 1-year changes in the systemic inflammation-based prognostic score (Glasgow Prognostic Score, GPS), body weight, and creatinine generation rate (CGR), an indicator of muscle mass, as well as 2-year hospitalization. The HR recovery category was associated with serum C-reactive protein and albumin levels and GPS. After one year, the low HR recovery category was associated with worsening in GPS (low, 0 [0-0.5]; mid, 0 [0-1]; high, 0 [0-0]), weight (low, 100.0 [96.1-102.5]; mid, 101.3 [98.9-105.0]; high, 100.5 [98.2-102.9]%), and CGR (low, 97.0 [88.5-111.4]; mid, 110.2 [90.9-124.8]; high, 106.2 [95.5-115.5]%), and the correlations with GPS and CGR remained consistent after adjusting for confounders such as exercise capacity and hospitalization during the follow-up period. There were 117 patients hospitalized. Compared to the high HR recovery category, the mid (hazard ratio: 1.8, 95% CI: 1.1-3.1, p = 0.02) and low (hazard ratio: 2.4, 95% CI: 1.5-4.0, p = 0.001) categories were independently associated with an increased risk of all-cause hospitalization. For non-CVD hospitalization, the low HR recovery category was independently associated with increased risk of hospitalization (hazard ratio: 2.1, 95% CI: 1.2-3.7, p = 0.007). Vagal neuropathy in this population can contribute to adverse outcomes associated with systemic inflammation and PEW.

A Deep-Learning Algorithm-Enhanced Electrocardiogram Interpretation for Detecting Pulmonary Embolism.

The early diagnosis of pulmonary embolism (PE) remains a challenge. Electrocardiograms (ECGs) and D-dimer levels are used to screen potential cases. To develop a deep learning model (DLM) to detect PE using ECGs and investigate the clinical value of false detections in patients without PE. Among patients who visited the emergency department between 2011 and 2019, PE cases were identified through a review of medical records. Non-PE ECGs were collected from patients without a diagnostic code for PE. There were 113 PE and 51,456 non-PE ECGs in the training and validation sets for developing the DLM, respectively, and 27 PE and 13,105 non-PE cases in an independent testing set for performance validation. A human-machine competition was conducted from the testing set to compare the performance of the DLM with that of physicians. Receiver operating characteristic (ROC) curves, sensitivity, and specificity were used to determine the diagnostic value. Survival analysis was used to assess the prognosis of the patients without PE, stratified by DLM prediction. The DLM was as effective as physicians in diagnosing PE, with 70.8% sensitivity and 69.7% specificity. The area under the ROC curve of DLM was 0.778 in the testing set and up to 0.9 with D-dimer and demographic data. The non-PE patients whose ECG was misclassified as PE by DLM had higher all-cause mortality [hazard ratio (HR) 2.13 (1.51-3.02)] and risk of non-cardiovascular hospitalization [HR 1.55 (1.42-1.68)] than those correctly classified. A DLM-enhanced ECG system may prompt PE recognition and provide prognostic outcomes in patients with false-positive predictions.

Common non-cardiovascular multimorbidity groupings and clinical outcomes in older adults with major cardiovascular disease.

Among older adults, non-cardiovascular multimorbidity often coexists with cardiovascular disease (CVD) but their clinical significance is uncertain. We identified common non-cardiovascular comorbidity patterns and their association with clinical outcomes in Medicare fee-for-service beneficiaries with acute myocardial infarction (AMI), congestive heart failure (CHF), or atrial fibrillation (AF). Using 2015-2016 Medicare data, we took 1% random sample to create 3 cohorts of beneficiaries diagnosed with AMI (n = 24,808), CHF (n = 57,285), and AF (n = 36,277) prior to 1/1/2016. Within each cohort, we applied latent class analysis to classify beneficiaries based on 9 non-cardiovascular comorbidities (anemia, cancer, chronic kidney disease, chronic lung disease, dementia, depression, diabetes, hypothyroidism, and musculoskeletal disease). Mortality, cardiovascular and non-cardiovascular hospitalizations, and home time lost over a 1-year follow-up period were compared across non-cardiovascular multimorbidity classes. Similar non-cardiovascular multimorbidity classes emerged from the 3 CVD cohorts: (1) minimal, (2) depression-lung, (3) chronic kidney disease (CKD)-diabetes, and (4) multi-system class. Across CVD cohorts, multi-system class had the highest risk of mortality (hazard ratio [HR], 2.7-3.9), cardiovascular hospitalization (HR, 1.6-3.3), non-cardiovascular hospitalization (HR, 3.1-7.2), and home time lost (rate ratio, 2.7-5.4). Among those with AMI, the CKD-diabetes class was more strongly associated with all the adverse outcomes than the depression-lung class. In CHF and AF, differences in risk between the depression-lung and CKD-diabetes classes varied per outcome; and the depression-lung and multi-system classes had double the rates of non-cardiovascular hospitalizations than cardiovascular hospitalizations. Four non-cardiovascular multimorbidity patterns were found among Medicare beneficiaries with CHF, AMI, or AF. Compared to the minimal class, the multi-system, CKD-diabetes, and depression-lung classes were associated with worse outcomes. Identification of these classes offers insight into specific segments of the population that may benefit from more than the usual cardiovascular care.

Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients

BackgroundYounger women experience worse health status than men after their index episode of acute myocardial infarction (AMI). However, whether women have a higher risk for cardiovascular and noncardiovascular hospitalizations in the year after discharge is unknown. ObjectivesThe aim of this study was to determine sex differences in causes and timing of 1-year outcomes after AMI in people aged 18 to 55 years. MethodsData from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young patients with AMI across 103 U.S. hospitals, were used. Sex differences in all-cause and cause-specific hospitalizations were compared by calculating incidence rates ([IRs] per 1,000 person-years) and IR ratios with 95% CIs. We then performed sequential modeling to evaluate the sex difference by calculating subdistribution HRs (SHRs) accounting for deaths. ResultsAmong 2,979 patients, at least 1 hospitalization occurred among 905 patients (30.4%) in the year after discharge. The leading causes of hospitalization were coronary related (IR: 171.8 [95% CI: 153.6-192.2] among women vs 117.8 [95% CI: 97.3-142.6] among men), followed by noncardiac hospitalization (IR: 145.8 [95% CI: 129.2-164.5] among women vs 69.6 [95% CI: 54.5-88.9] among men). Furthermore, a sex difference was present for coronary-related hospitalizations (SHR: 1.33; 95% CI: 1.04-1.70; P = 0.02) and noncardiac hospitalizations (SHR: 1.51; 95% CI: 1.13-2.07; P = 0.01). ConclusionsYoung women with AMI experience more adverse outcomes than men in the year after discharge. Coronary-related hospitalizations were most common, but noncardiac hospitalizations showed the most significant sex disparity.

Impact of left ventricular ejection fraction phenotypes on healthcare resource utilization in hospitalized heart failure: a secondary analysis of REPORT-HF.

Evidence on healthcare resource utilization (HCRU) for hospitalized patients with heart failure (HF) and reduced (HFrEF), mildly reduced (HFmrEF) and preserved (HFpEF) ejection fraction is limited. We analysed HCRU in relation to left ventricular ejection fraction (LVEF) phenotypes, clinical features and in-hospital and 12-month outcomes in 16 943 patients hospitalized for HF in a worldwide registry. HFrEF was more prevalent (53%) than HFmrEF (17%) or HFpEF (30%). Patients with HFmrEF and HFpEF were older, more often women, with milder symptoms and more comorbidities, but differences were not pronounced. HCRU was high in all three groups; two or more in- and out-of-hospital services were required by 51%, 49% and 52% of patients with HFrEF, HFmrEF and HFpEF, respectively, and intensive care unit by 41%, 41% and 37%, respectively. Hospitalization length was similar (median, 8 days). Discharge prescription of neurohormonal inhibitors was <80% for each agent in HFrEF and only slightly lower in HFmrEF and HFpEF (74% and 67%, respectively, for beta-blockers). Compared to HFrEF, 12-month all-cause and cardiovascular mortality were lower for HFmrEF (adjusted hazard ratios 0.78 [95% confidence interval 0.59-0.71] and 0.80 [0.70-0.92]) and HFpEF (0.64 [0.59-0.87] and 0.63 [0.56-0.71]); 12-month HF hospitalization was also lower for HFpEF and HFmrEF (21% and 20% vs. 25% for HFrEF). In-hospital mortality, 12-month non-cardiovascular mortality and 12-month all-cause hospitalization were similar among groups. In patients hospitalized for HF, overall HCRU was similarly high across LVEF spectrum, reflecting the subtle clinical differences among LVEF phenotypes during hospitalization. Discharge prescription of neurohormonal inhibitors was suboptimal in HFrEF and lower but significant in patients with HFpEF and HFmrEF, who had better long-term cardiovascular outcomes than HFrEF, but similar risk for non-cardiovascular events.

COMMON NONCARDIOVASCULAR MULTIMORBIDITY PATTERNS AND OUTCOMES IN OLDER ADULTS WITH MAJOR CARDIOVASCULAR DISEASE

Abstract Non-cardiovascular multimorbidity often coexists in older adults with cardiovascular disease (CVD), but their clinical significance is uncertain. Using Medicare data, we examined common non-cardiovascular comorbidity patterns and their association with clinical outcomes in beneficiaries with congestive heart failure (CHF), acute myocardial infarction (AMI), or atrial fibrillation (AF). We created 3 CVD cohorts of beneficiaries diagnosed with CHF (n=57,285), AMI (n=24,808), and AF (n=36,277) before January 1, 2016. Within each cohort, we applied latent class analysis to classify beneficiaries based on 7 non-cardiovascular comorbidities, including dementia, cancer, chronic kidney disease (CKD), chronic lung disease, depression, diabetes, and musculoskeletal disease. Mortality, cardiovascular and non-cardiovascular hospitalization, and home time lost until December 31, 2016 were compared across non-cardiovascular multimorbidity classes. Similar non-cardiovascular multimorbidity classes emerged from 3 CVD cohorts: 1) minimal, 2) depression (or lung-depression in AMI cohort), 3) diabetes-CKD, and 4) multi-system class. Compared to minimal class, multi-system class had the highest risk of mortality (hazard ratio [HR], 3.0 to 3.7), cardiovascular hospitalization (HR, 1.6 to 3.4) and non-cardiovascular hospitalization (HR, 2.8 to 6.0), and home time lost (rate ratio, 2.8 to 4.8), followed by lung-depression/depression or diabetes-CKD classes. In CHF and AF cohorts, multimorbidity classes were associated with greater increase in non-cardiovascular hospitalizations than cardiovascular hospitalizations. Our findings emphasize that improving health of older adults with CVD requires attention to non-cardiovascular multimorbidity.

Persistent High Burden of Heart Failure Across the Ejection Fraction Spectrum in a Nationwide Setting.

Background Heart failure (HF) has a dramatic impact on worldwide health care systems that is determined by the growing prevalence of and the high exposure to cardiovascular and noncardiovascular events. Prognosis remains poor. We sought to compare a large population with HF across the ejection fraction (EF) spectrum with a population without HF for patient characteristics, and HF, cardiovascular, and noncardiovascular outcomes. Methods and Results Patients with HF registered in the Swedish HF registry in 2005 to 2018 were compared 1:3 with a sex-, age-, and county-matched population without HF. Outcomes were cardiovascular and noncardiovascular mortality and hospitalizations. Of 76 453 patients with HF, 53% had reduced EF, 23% mildly reduced EF, and 24% preserved EF. Compared with those without HF, patients with HF had more cardiovascular and noncardiovascular comorbidities and worse socioeconomic status. Incidence of cardiovascular and noncardiovascular events was higher in people with HF versus non-HF, with increased risk of all-cause (hazard ratio [HR], 2.53 [95% CI, 2.50-2.56]), cardiovascular (HR, 4.67 [95% CI, 4.59-4.76]), and noncardiovascular (HR, 1.49 [95% CI, 1.46-1.52]) mortality, 2- to 5-fold higher risk of first/repeated cardiovascular and noncardiovascular hospitalizations, and ~4 times longer in-hospital length of stay for any cause. Patients with HF with reduced EF had higher risk of HF hospitalizations, whereas those with HF with preserved EF had higher risk of all-cause and noncardiovascular hospitalization and mortality. Conclusions Patients with HF exert a high health care burden, with a much higher risk of cardiovascular, all-cause, and noncardiovascular events, and nearly 4 times as many days spent in hospital compared with those without HF. These epidemiological data may enable strategies for optimal resource allocation and HF trial design.

Reduction of heart failure guideline-directed medication during hospitalization: prevalence, risk factors, and outcomes.

Optimal management of heart failure with reduced ejection fraction (HFrEF) includes titration of guideline-directed medical therapy (GDMT) to the highest tolerated dose within the licensed range. During hospitalization, GDMT doses are often significantly altered, although it is unknown whether the cause of hospitalization influences this. We recruited 711 people with stable HFrEF from specialist heart failure clinics and prospectively assessed events occurring during first unplanned hospitalization. Dose changes of ACE inhibitors or angiotensin receptor blockers (ACEi/ARB), beta-blockers, mineralocorticoid receptor antagonists, and loop diuretics were recorded during 414 hospitalizations, categorized as due to decompensated heart failure, other cardiovascular causes, infection, or other non-cardiovascular causes. Most hospitalizations resulted in no change to GDMT. ACEi/ARB dose was reduced in 21% of hospitalizations and was more common during non-cardiovascular hospitalization (25.4% vs. 13.9%; P=0.005). ACEi/ARB dose reduction was associated with older age and lower left ventricular ejection fraction at study recruitment, and poorer renal function, lower systolic blood pressure, higher serum potassium, and less frequent care from a cardiologist during admission. People experiencing ACEi/ARB reduction had worse age-adjusted survival after discharge, without differences in heart failure re-hospitalization. De-escalation of beta-blockers occurred in 8% of hospitalizations, most often due to other non-cardiovascular causes; this was not associated with post-discharge survival or re-hospitalization with heart failure. De-escalation of HFrEF GDMT is more common during non-cardiovascular hospitalization and for ACEi/ARB is associated with reduced survival. Post-discharge care plans should include robust plans to consider re-escalation of GDMT in these cases.

Prognostic Impact of Cardiovascular Versus Noncardiovascular Hospitalizations in Heart Failure With Preserved Ejection Fraction: Insights From TOPCAT

BackgroundPatients with heart failure (HF) with preserved ejection fraction are commonly admitted to the hospital for both cardiovascular (CV) and noncardiovascular (non-CV) reasons. The prognostic implications of non-CV hospitalizations in this population are not well understood. In this study, we aimed to examine the prognostic implications of hospitalizations owing to CV and non-CV reasons in a HF with preserved ejection fraction population. Methods and ResultsThe Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist trial (TOPCAT) randomized 3445 stable outpatients with chronic HF with a left ventricular ejection fraction of 45% or greater and either prior hospitalization for HF or elevated natriuretic peptides to treatment with spironolactone or placebo. Hospitalizations for any cause were reported by investigators during study follow-up and characterized according to prespecified category causes. This analysis focused on the subset of TOPCAT participants enrolled in the Americas (n = 1767), in which 2973 hospitalizations were observed in 1062 subjects (60%) over a mean follow-up of 3.3 years of study follow-up, of which 1474 (49%) were ascribed to CV causes. Among 1056 first hospitalizations, 478 (45%) were for CV reasons and 578 (55%) for non-CV reasons. Mortality rates were lowest for participants not hospitalized during the trial (3.2 per 100 patient-years [PY]), but similarly elevated after first hospitalization for CV and non-CV reasons (11.0 per 100 PY vs 12.6 per 100 PY, respectively; P = .24). Among those hospitalized for CV reasons, mortality rates were similar after hospitalization for HF and non-CV related reasons (15.2 per 100 PY vs 12.6 per 100 PY; P = .23). Recurrent hospitalization, whether owing to CV or non-CV causes, was associated with a heightened risk for subsequent mortality, with similar death rates after hospitalization twice for CV reasons (18.5 per 100 PY), twice for non-CV reasons (21.6 per 100 PY), or once each for CV and non-CV reasons (18.4 per 100 PY). ConclusionsAmong patients with HF with preserved ejection fraction, hospitalization for any cause is associated with a heightened risk for postdischarge mortality, with an even higher risk associated with recurrent hospitalization. Given the high burden of non-CV hospitalizations in this population, the targeted management of comorbid medical illness may be critical to decreasing morbidity and mortality.

Subcutaneous ICD combined with VT ablation for the secondary prevention of sudden cardiac death: pilot data from the prospective multinational SICD-VTAbl study

Abstract Background The aim of the Subcutaneous ICD Combined with Ventricular Tachycardia Ablation (SICD-VTAbl) Study is to provide preliminary data on the safety and efficacy of a management strategy that incorporates S-ICD implantation and VT ablation among patients with a secondary prevention indication for an ICD. We hypothesize that VT ablation for the prevention of monomorphic VT recurrence combined with S-ICD implantation for termination of life-threatening VT/VF is safe, while reducing the need for device interventions and systemic complications associated with conventional transvenous ICD implantation for secondary prevention. Methods SICD-VTAbl is an uncontrolled, prospective, multinational observational study, conducted in France, Germany, US (Rochester NY, and Rochester MN) and coordinated in Israel. We aim to prospectively enroll 30 patients presenting with scar-related VT/VF who will undergo VT ablation/substrate modification followed by S-ICD implantation. The primary endpoint is the first occurrence of S-ICD therapy (appropriate and inappropriate). Secondary endpoints include separate occurrence of appropriate and inappropriate ICD therapies, peri-procedural complications, and adverse clinical outcomes. Results We provide clinical, arrhythmia, and outcome data on the first 15 patients enrolled in the SICD-VTAbl Study through February 2021. Mean age was 59±12 years, 78% were males, 60% had New York Heart Association (NYHA) Class ≥II symptoms, 20% had renal insufficiency, and 33% were treated with an antiarrhythmic medication (all amiodarone). Periprocedural, arrhythmia, and long-term outcome data are provided in Table 1. There were no major complications associated with the VT ablation and the S-ICD implantation procedures. During a median follow-up of 6 months (interquartile range: 2–12 months), 2 patients (13%) received S-ICD therapy: one patient (7%) experienced VF terminated by the S-ICD and one patient experienced a single episode of inappropriate S-ICD therapy. Adverse events during follow-up, unrelated to study procedures, occurred in 3 patients (20%): hospitalization for heart failure exacerbation (N=1) and non-cardiovascular hospitalizations (N=2). None of the patients died during follow-up (Table 1). Conclusions Our preliminary data from the SICD-VTAbl Study suggest that a management approach that incorporates VT ablation followed by S-ICD implantation is safe and may lead to improved arrhythmia and clinical outcomes in patients presenting with a secondary prevention indication for an ICD. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): Research grant to Sheba Medical Center from Boston Scientific

Virtual optimization of guideline-directed medical therapy in hospitalized patients with heart failure with reduced ejection fraction: the IMPLEMENT-HF pilot study.

Implementation of guideline-directed medical therapy (GDMT) for heart failure with reduced ejection fraction (HFrEF) remains incomplete. Non-cardiovascular hospitalization may present opportunities for GDMT optimization. We assessed the efficacy and durability of a virtual, multidisciplinary 'GDMT Team' on medical therapy prescription for HFrEF. Consecutive hospitalizations in patients with HFrEF (ejection fraction ≤40%) were prospectively identified from 3 February to 1 March 2020 (usual care group) and 2 March to 28 August 2020 (intervention group). Patients with critical illness, de novo heart failure, and systolic blood pressure <90 mmHg in the preceeding 24 hs prior to enrollment were excluded. In the intervention group, a pharmacist-physician GDMT Team provided optimization suggestions to treating teams based on an evidence-based algorithm. The primary outcome was a GDMT optimization score, the sum of positive (+1 for new initiations or up-titrations) and negative therapeutic changes (-1 for discontinuations or down-titrations) at hospital discharge. Serious in-hospital safety events were assessed. Among 278 consecutive encounters with HFrEF, 118 met eligibility criteria; 29 (25%) received usual care and 89 (75%) received the GDMT Team intervention. Among usual care encounters, there were no changes in GDMT prescription during hospitalization. In the intervention group, β-blocker (72% to 88%; P=0.01), angiotensin receptor-neprilysin inhibitor (6% to 17%; P=0.03), mineralocorticoid receptor antagonist (16% to 29%; P=0.05), and triple therapy (9% to 26%; P < 0.01) prescriptions increased during hospitalization. After adjustment for clinically relevant covariates, the GDMT Team was associated with an increase in GDMT optimization score (+0.58; 95% confidence interval +0.09 to +1.07; P=0.02). There were no serious in-hospital adverse events. Non-cardiovascular hospitalizations are a potentially safe and effective setting for GDMT optimization. A virtual GDMT Team was associated with improved heart failure therapeutic optimization. This implementation strategy warrants testing in a prospective randomized controlled trial.

The Cost-Effectiveness of Palliative Care: Insights from the PAL-HF Trial

BackgroundIn a randomized control trial, Palliative Care in Heart Failure (PAL-HF) improved heart failure–related quality of life, though cost-effectiveness remains unknown. The aim of this study was to evaluate the cost-effectiveness of the PAL-HF trial, which provided outpatient palliative care to patients with advanced heart failure. Methods and ResultsOutcomes for usual care and PAL-HF strategies were compared using a Markov cohort model over 36 months from a payer perspective. The model parameters were informed by PAL-HF trial data and supplemented with meta-analyses and Medicare administrative data. Outcomes included hospitalization, place of death, Medicare expenditures, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios. Simulated mortality rates were the same for PAL-HF and usual care cohorts, at 89.7% at 36 months. In the base case analysis, the PAL-HF intervention resulted in an incremental gain of 0.03 QALYs and an incremental cost of $964 per patient for an incremental cost-effectiveness ratio of $29,041 per QALY. In 1-way sensitivity analyses, an intervention cost of up to $140 per month is cost effective at $50,000 per QALY. Of 1000 simulations, the PC intervention had a 66.1% probability of being cost effective at a $50,000 willingness-to-pay threshold assuming no decrease in hospitalization. In a scenario analysis, PAL-HF decreased payer spending through reductions in noncardiovascular hospitalizations. ConclusionsThese results from this single-center trial are encouraging that palliative care for advanced heart failure is an economically attractive intervention. Confirmation of these findings in larger multicenter trials will be an important part of developing the evidence to support more widespread implementation of the PAL-HF palliative care intervention.

Clinical Characteristics and Outcomes of Patients With Heart Failure With Reduced Ejection Fraction and Chronic Obstructive Pulmonary Disease: Insights From PARADIGM-HF.

BackgroundChronic obstructive pulmonary disease (COPD) is a common comorbidity in heart failure with reduced ejection fraction, associated with undertreatment and worse outcomes. New treatments for heart failure with reduced ejection fraction may be particularly important in patients with concomitant COPD.Methods and ResultsWe examined outcomes in 8399 patients with heart failure with reduced ejection fraction, according to COPD status, in the PARADIGM‐HF (Prospective Comparison of Angiotensin Receptor Blocker–Neprilysin Inhibitor With Angiotensin‐Converting Enzyme Inhibitor to Determine Impact on Global Mortality and Morbidity in Heart Failure) trial. Cox regression models were used to compare COPD versus non‐COPD subgroups and the effects of sacubitril/valsartan versus enalapril. Patients with COPD (n=1080, 12.9%) were older than patients without COPD (mean 67 versus 63 years; P<0.001), with similar left ventricular ejection fraction (29.9% versus 29.4%), but higher NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide; median, 1741 pg/mL versus 1591 pg/mL; P=0.01), worse functional class (New York Heart Association III/IV 37% versus 23%; P<0.001) and Kansas City Cardiomyopathy Questionnaire–Clinical Summary Score (73 versus 81; P<0.001), and more congestion and comorbidity. Medical therapy was similar in patients with and without COPD except for beta‐blockade (87% versus 94%; P<0.001) and diuretics (85% versus 80%; P<0.001). After multivariable adjustment, COPD was associated with higher risks of heart failure hospitalization (hazard ratio [HR], 1.32; 95% CI, 1.13–1.54), and the composite of cardiovascular death or heart failure hospitalization (HR, 1.18; 95% CI, 1.05–1.34), but not cardiovascular death (HR, 1.10; 95% CI, 0.94–1.30), or all‐cause mortality (HR, 1.14; 95% CI, 0.99–1.31). COPD was also associated with higher risk of all cardiovascular hospitalization (HR, 1.17; 95% CI, 1.05–1.31) and noncardiovascular hospitalization (HR, 1.45; 95% CI, 1.29–1.64). The benefit of sacubitril/valsartan over enalapril was consistent in patients with and without COPD for all end points.ConclusionsIn PARADIGM‐HF, COPD was associated with lower use of beta‐blockers and worse health status and was an independent predictor of cardiovascular and noncardiovascular hospitalization. Sacubitril/valsartan was beneficial in this high‐risk subgroup.RegistrationURL: https://www.clinicaltrials.gov; Unique identifier: NCT01035255.

Hospitalizations among adults with chronic kidney disease in the United States: A cohort study.

Adults with chronic kidney disease (CKD) are hospitalized more frequently than those without CKD, but the magnitude of this excess morbidity and the factors associated with hospitalizations are not well known. Data from 3,939 participants enrolled in the Chronic Renal Insufficiency Cohort (CRIC) Study between 2003 and 2008 at 7 clinical centers in the United States were used to estimate primary causes of hospitalizations, hospitalization rates, and baseline participant factors associated with all-cause, cardiovascular, and non-cardiovascular hospitalizations during a median follow up of 9.6 years. Multivariable-adjusted Poisson regression was used to identify factors associated with hospitalization rates, including demographics, blood pressure, estimated glomerular filtration rate (eGFR), and proteinuria. Hospitalization rates in CRIC were compared with rates in the Nationwide Inpatient Sample (NIS) from 2012. Of the 3,939 CRIC participants, 45.1% were female, and 41.9% identified as non-Hispanic black, with a mean age of 57.7 years, and the mean eGFR is 44.9 ml/min/1.73m2. CRIC participants had an unadjusted overall hospitalization rate of 35.0 per 100 person-years (PY) [95% CI: 34.3 to 35.6] and 11.1 per 100 PY [95% CI: 10.8 to 11.5] for cardiovascular-related causes. All-cause, non-cardiovascular, and cardiovascular hospitalizations were associated with older age (≥65 versus 45 to 64 years), more proteinuria (≥150 to <500 versus <150 mg/g), higher systolic blood pressure (≥140 versus 120 to <130 mmHg), diabetes (versus no diabetes), and lower eGFR (<60 versus ≥60 ml/min/1.73m2). Non-Hispanic black (versus non-Hispanic white) race/ethnicity was associated with higher risk for cardiovascular hospitalization [rate ratio (RR) 1.25, 95% CI: 1.16 to 1.35, p-value < 0.001], while risk among females was lower [RR 0.89, 95% CI: 0.83 to 0.96, p-value = 0.002]. Rates of cardiovascular hospitalizations were higher among those with ≥500 mg/g of proteinuria irrespective of eGFR. The most common causes of hospitalization were related to cardiovascular (31.8%), genitourinary (8.7%), digestive (8.3%), endocrine, nutritional or metabolic (8.3%), and respiratory (6.7%) causes. Hospitalization rates were higher in CRIC than the NIS, except for non-cardiovascular hospitalizations among individuals aged >65 years. Limitations of the study include possible misclassification by diagnostic codes, residual confounding, and potential bias from healthy volunteer effect due to its observational nature. In this study, we observed that adults with CKD had a higher hospitalization rate than the general population that is hospitalized, and even moderate reductions in kidney function were associated with elevated rates of hospitalization. Causes of hospitalization were predominantly related to cardiovascular disease, but other causes contributed, particularly, genitourinary, digestive, and endocrine, nutritional, and metabolic illnesses. High levels of proteinuria were observed to have the largest association with hospitalizations across a wide range of kidney function levels.

Risk Factors for Morbidity and Mortality Following Hospitalization for Pericarditis

BackgroundViral or idiopathic pericarditis is a frequent condition, often considered benign, although prior studies have suggested that pericarditis is associated with both cardiovascular and noncardiovascular disease, for example, malignancy. ObjectivesThis study sought to assess mortality risk and morbidity patterns in patients with incident viral or idiopathic pericarditis. MethodsIn nationwide Danish registries, we identified patients discharged with a first-time diagnosis of pericarditis from 1996 to 2016. Patients with a severe underlying heart condition were excluded. The patients were matched 1:10 with individuals from the general population by sex and year of birth. We assessed 5-year mortality using Kaplan-Meier and Cox proportional hazards models adjusted for baseline comorbidities and identified subsequent hospital admissions. ResultsWe identified 7,988 patients with pericarditis and 79,880 matched control individuals. The absolute 5-year survival probability was 92.9% and 95.8% in the pericarditis and control groups, respectively (adjusted hazard ratio: 1.31; 95% confidence interval: 1.13 to 1.52). The greatest difference in mortality was seen the first year, and it was primarily driven by the female part of the population. The incidence rate per 1,000 person-years of new-onset, admission-required diagnosis was higher in the pericarditis group both for cardiovascular and noncardiovascular diseases. ConclusionsWe observed a higher mortality risk over 5 years in the pericarditis group, especially among the female patients, compared to matched control individuals. Furthermore, we observed a higher frequency of both cardiovascular and noncardiovascular hospital admissions, highlighting the need for focus on underlying morbidity in patients presenting with apparent viral or idiopathic pericarditis.

The Effects of Cardiac Resynchronization Therapy on Cardiovascular and Non-cardiovascular Hospitalization: A Long-term Follow-up MADIT-CRT Sub-study

Introduction Little is known about the effects of cardiac resynchronization therapy (CRT-D) on hospitalizations during long-term follow up. We assessed the impact of CRT-D on CV and non-CV hospitalizations in patients randomized to implantable cardioverter-defibrillator (ICD) or CRT-D in the MADIT-CRT trial. Methods and Results MADIT-CRT randomized 1820 patients with mild heart failure (HF), low ejection fraction and a wide QRS to ICD or CRT-D. Hospitalization rates and lengths of hospital stay were compared. At an average of 5.6 years follow-up, there was a lower rate of all-cause hospitalizations in the CRT-D arm compared with the ICD group (72.6 events per 100 pt-years versus 82.6 events per 100 pt-years, p=0.020). This was driven by a reduction in CV-hospitalizations with CRT-D vs. ICD (28.8 events per 100 pt-years vs. 42.6 events per 100 pt-years, p Conclusions Among patients with NYHA class I/II heart failure, CRT-D therapy significantly reduces all-cause hospitalizations, HF, and CV hospitalizations with reductions in hospital length of stay. Any hospitalization was associated with an increased risk of death.

Neighborhood socioeconomic status and risk of hospitalization in patients with chronic kidney disease

Patients with chronic kidney disease (CKD) experience significantly greater morbidity than the general population. The hospitalization rate for patients with CKD is significantly higher than the general population. The extent to which neighborhood-level socioeconomic status (SES) is associated with hospitalization has been less explored, both in the general population and among those with CKD.We evaluated the relationship between neighborhood SES and hospitalizations for adults with CKD participating in the Chronic Renal Insufficiency Cohort Study. Neighborhood SES quartiles were created utilizing a validated neighborhood-level SES summary measure expressed as z-scores for 6 census-derived variables. The relationship between neighborhood SES and hospitalizations was examined using Poisson regression models after adjusting for demographic characteristics, individual SES, lifestyle, and clinical factors while taking into account clustering within clinical centers and census block groups.Among 3291 participants with neighborhood SES data, mean age was 58 years, 55% were male, 41% non-Hispanic white, 49% had diabetes, and mean estimated glomerular filtration rate (eGFR) was 44 ml/min/1.73 m. In the fully adjusted model, compared to individuals in the highest SES neighborhood quartile, individuals in the lowest SES neighborhood quartile had higher risk for all-cause hospitalization (rate ratio [RR], 1.28, 95% CI, 1.09-1.51) and non-cardiovascular hospitalization (RR 1.30, 95% CI, 1.10-1.55). The association with cardiovascular hospitalization was in the same direction but not statistically significant (RR 1.21, 95% CI, 0.97-1.52).Neighborhood SES is associated with risk for hospitalization in individuals with CKD even after adjusting for individual SES, lifestyle, and clinical factors.