Blood Volume Analysis of Total Artificial Heart Recipients: A Case Series.

Blood volume analysis provides a quantitative volume assessment in patients with equivocal or discordant clinical findings. Reports on its use in mechanical circulatory support are limited and it has never been described in patients with a total artificial heart. Our series demonstrates that patients supported with total artificial heart as a bridge to transplant have significant reductions in red blood cell volume and heterogeneous adaptations in their total blood volume and plasma volume. Pathologic derangements in our patient's total blood volume were targeted to restore euvolemia.

The stress clot: Mid-cavitary variant takotsubo cardiomyopathy with left ventricular thrombus.

Pregnancy and the post-partum period are known hypercoagulable states. Mid-cavitary variant Takotsubo cardiomyopathy (TCM) is uncommon and seen in only about 14% of all Takotsubo cases. Left ventricular thrombus (LVT) in the setting of mid-cavitary TCM is extremely rare, occurring in approximately 1% of cases. We describe a case of a young female, 1-week post-partum, with an acute LVT in the setting of mid-ventricular TCM, and we discuss the striking images and clinical management of this uncommon presentation.

Heart Transplant Outcomes After Total Artificial Heart.

BACKGROUND: We sought to compare heart transplant (HTX) outcomes from patients with a total artificial heart (TAH), biventricular assist device (BiVAD), or left ventricular assist device (LVAD) as a bridge to transplant (BTT). Interagency Registry for Mechanically Assisted Circulatory Support (INTERMACS)-Scientific Registry of Transplant Recipients (SRTR) created a dataset with TAH or durable mechanical circulatory support (MCS) who reached HTX between 2006 and 2015. METHODS: The retrospective analysis compared TAH outcomes with those with a BiVAD or LVAD before HTX. The primary outcome was posttransplant survival at 1, 36, and 60 months. Secondary outcomes included simultaneous heart-kidney transplants, donor characteristics, and mortality risk factors. INTERMACS-SRTR cohort had, at the time of HTX, 2762 patients with LVAD; 205 BiVAD (139 durable and 66 temporary RVAD); 176 TAH (6 prior HeartMate II). RESULTS: Sixty months after HTX, mortality rates were 16.5% in the total group: LVAD 15.2%, BiVAD 22.4%, and TAH 29%. Survival differed between the LVAD, the TAH, and BiVAD but not between the BiVAD and TAH groups. One-year survival and complication rates were similar across groups-there was no difference in survival by donor age in the overall cohort. There was a difference in TTD based on recipient age in the LVAD group but not in BiVAD or TAH groups. Occurrence of HTX-kidney and post-transplant dialysis were higher in the TAH versus LVAD and BiVAD groups. CONCLUSIONS: The TAH is an efficacious BTT. Refinements in technology and patient selection may improve outcomes.

Feasibility of Outpatient Hemodialysis for Patients With Total Artificial Heart: A Case Series.

Total artificial hearts (TAH) are used in patients with end-stage heart failure as a bridge-to-transplant. AKI is a common postoperative complication associated with TAH implant. Patients requiring temporary dialysis are denied implantation of TAH due to the inability to provide outpatient (OP) dialysis in the long term. Here we discuss four cases of TAH patients from a single center who were successfully maintained on OP hemodialysis (HD). All four patients were implanted with a 70cc Syncardia TM TAH for NICM. Two patients were implanted as bridge-to-transplant (BTT); one received a heart/kidney transplant and the other received a heart transplant. Two patients were implanted as destination therapy; one was maintained on OP HD until end-of-life, and the other received a heart transplant after becoming transplant eligible. These cases confirm that OP HD is a feasible option for TAH patients with post-implant chronic renal dysfunction provided that the dialysis centers are trained and supported by the implanting program.

The prognostic value of clinical frailty scale and outcomes in older patients undergoing left ventricular assist device implantation.

Objectives: Heart failure impacts patients' functional capabilities, ultimately leading to frailty. The use of a left ventricular assist device (LVAD) is acceptable as both destination therapy and bridge to transplant in heart failure management. We aim to evaluate the prognostic value of the Clinical Frailty Scale (CFS) on outcomes in older patients undergoing implantation of LVAD. Methods: We conducted a retrospective chart review of patients ≥ 60 years old that underwent LVAD implantation at our medical center from May 1, 2018, to October 30, 2020. CFS was retrospectively assigned before LVAD placement and CFS scores > 4 was considered frail. Kaplan-Meier curves and Cox regression were used to analyze 1-year survival estimates. Results: Forty percent of the cohort was classified as frail according to CFS. Thirty-day re-admission rates were comparable between frail and non-frail patients (46% vs 35%; P = 0.419). 1-year survival was lower in the frail vs non-frail group (log rank, P = 0.017). On Cox analysis, only frailty was associated with 1-year post-intervention mortality (hazard ratio [HR] = 5.64, 95% confidence interval [CI] = 1.131-28.212; P = 0.035). Conclusions: CFS-defined frailty was associated with increased risk of 1-year mortality after LVAD implantation. CFS may be a valuable tool in the frailty assessment for risk stratification of patients undergoing LVAD implantation. Multicenter studies are required to validate these findings.

Impact of Fried Frailty Phenotype on Postoperative Outcomes After Durable Contemporary Mechanical Circulatory Support: A Single-Center Experience.

Background: Frailty is prevalent in advanced heart failure patients and may help distinguish patients at risk of worse outcomes. However, the effect of frailty on postoperative clinical outcomes is still understudied. Therefore, we aim to study the relationship between frailty and postoperative clinical outcomes in patients undergoing long-term mechanical circulatory support (MCS). Methods: Forty-six patients undergoing durable MCS (left ventricular assist device and total artificial heart) placement at our medical center were assessed for frailty pre-implant. Frailty was defined as ≥ 3 physical components of the Fried frailty phenotype. Our primary endpoint is 1 year of survival post-implant. Secondary endpoints include 30-day all-cause rehospitalization, pump thrombosis, neurological event (stroke/transient ischemic attack), gastrointestinal bleeding, and driveline infection within 12 months post-MCS support. Results: Of the 46 patients, 32 (69%) met the criteria for frailty according to Fried. The cohort's median age was 67.0 years. The frail group had statistically significant lower left ventricular ejection fraction (LVEF) (11% vs. 20%, P = 0.017) and lower albumin (3.5 vs. 4.0 g/dL, P = 0.021). The frail cohort also had significantly higher rates of comorbid chronic kidney disease (47% vs. 7%, P = 0.016). There were no differences between the frail vs. non-frail group in terms of 30-day readmission rates (40% vs. 39%, P = 0.927) and 1-year post-intervention survival (log-rank, P = 0.165). None of the other secondary endpoints reached statistical significance, although the incidence of gastrointestinal bleed (24% vs. 16%, P = 0.689) and pump thrombosis (8% vs. 0%, P = 0.538) were higher in the frail group. Conclusions: Preoperative Fried frailty was not associated with readmission at 30 days, mortality at 365 days, and other postoperative outcomes in long-term durable MCS patients. Findings may need further validation in larger studies.

Influence of Influenza Infection on In-Hospital Acute Myocardial Infarction Outcomes.

Influenza is associated with significant morbidity in the United States but its influence on in-hospital outcomes in patients with AMI has not been well studied. The Nationwide Readmission Database (NRD) from 2010 to 2014 was queried using the International Classification of Diseases-Ninth edition, Clinical Modification (ICD-9-CM) codes to identify all patients ≥18 years who were admitted for AMI with and without concurrent influenza. Propensity score matching was used to adjust patients' baseline characteristics and co-morbidities. In-hospital mortality, 30-day readmission rates, in-hospital complications, and resource utilization were analyzed. We identified a total of 2,428,361 patients admitted with AMI, of whom 3,006 (0.12%) had coexisting influenza. We noted significantly higher in-hospital mortality (7.7% vs 5.6%, p <0.01) and 30-day readmission rates (15.8% vs 14.1%, p <0.01) in patients with influenza compared with those without it. After propensity matching, the differences in in-hospital mortality and 30-day readmission were no longer statistically significant between the groups. Patients with influenza had a higher incidence of acute kidney injury (30.9% vs 24.6%, p <0.01), acute respiratory failure (50.2% vs 32.2%, p <0.01), need for mechanical ventilation (13.9% vs 9.2%, p <0.01), and sepsis (10% vs 3.8%, p <0.01) in the matched cohort. Patients with influenza had longer hospital stays (8.4 days vs 6.4 days, p <0.01) and mean costs of care (26,200USD vs 23,400USD, p <0.01). In conclusion, AMI patients with concomitant influenza infection had higher in-hospital mortality, 30-day readmission, in-hospital complications, and higher resource utilization compared with those without influenza.

Causes, Trends, and Predictors of 90-Day Readmissions After Spontaneous Coronary Artery Dissection (from A Nationwide Readmission Database).

Spontaneous coronary artery dissection (SCAD) is a frequently missed diagnosis in patients presenting with acute coronary syndrome (ACS). Our aim was to evaluate the causes, trends, and predictors of 90-day hospital readmission in patients presenting with SCAD. The Nationwide Readmissions Database (2013 to 2014) was utilized to identify patients with primary discharge diagnosis of SCAD using the International Classification of Diseases, Ninth Revision, Clinical Modification, diagnostic code 414.12. The primary outcome was 90-day readmission. Among 11,228 patients admitted with the primary diagnosis of SCAD, 2,424 patients (21.6%) were readmitted within 90 days (68% women, 82% <65 years of age). Common causes for 90-day readmission were ACS (25%), acute heart failure (11%), acute respiratory failure (7%), and arrhythmias (5%). Multivariate predictors of 90-day readmissions were hypertension, chronic obstructive pulmonary disease, peripheral arterial disease, discharge to facility and increased length of stay (LOS) during index admission. Multivariate predictors of increased healthcare-related costs were older age, female gender, discharge to facility, and increased LOS. Over half of the readmissions (52%) occurred in first 30 days after discharge. In conclusion, we found a high rate of rehospitalization among SCAD patients, particularly within the first 30 days of index hospitalization. ACS, heart failure, and acute respiratory failure were the most common reasons for readmission. Hypertension, chronic obstructive pulmonary disease, peripheral arterial disease, and increased LOS were independent predictors of readmission. Further studies are warranted to confirm these predictors of readmission in this high-risk population.

Outcomes and Resource Utilization Associated With Readmissions After Atrial Fibrillation Hospitalizations.

Background Atrial fibrillation is the most common arrhythmia worldwide. Data regarding 30-day readmission rates after discharge for atrial fibrillation remain poorly reported. Methods and Results The Nationwide Readmission Database (2010-2014) was queried using the International Classification of Diseases, Ninth Revision (ICD-9) codes to identify study population. Incidence, etiologies of 30-day readmission and predictors of 30-day readmissions, and cost of care were analyzed. Among 1 723 378 patients who survived to discharge, 249 343 (14.4%) patients were readmitted within 30 days. Compared with the readmitted group, the nonreadmitted group had higher utilization of electrical cardioversion and catheter ablation. Atrial fibrillation was the most common cause of readmission (24.1%). Median time to 30-day readmission was 13 days. Advancing age, female sex, and longer stay during index hospitalization predicted higher 30-day readmissions, whereas private insurance, electrical cardioversion, catheter ablation, higher income, and elective admissions correlated with lower 30-day readmission. Comorbidities such as heart failure, neurological disorder, chronic obstructive pulmonary disease, diabetes mellitus, chronic kidney disease, chronic liver failure, coagulopathy, anemia, peripheral vascular disease, and electrolyte disturbance, correlated with increased 30-day readmissions and cost burden. Trend analysis showed a progressive decline in 30-day readmission rates from 14.7% in 2010 to 14.3% in 2014 (P trend, <0.001). Conclusions Approximately 1 in 7 patients were readmitted within 30 days of discharge, with symptomatic atrial fibrillation being the most common cause. We identified a predictive model for increased risk of readmissions and treatment expense. Electrical cardioversion during index admission was associated with a significant reduction in 30-day readmissions and service charges. The 30-day readmissions correlated with a substantial rise in the cost of care.

Percutaneous Biventricular Mechanical Circulatory Support With Impella CP and Protek Duo Plus TandemHeart.

This is the first reported case of full biventricular mechanical circulatory support with the combination of Impella and Protek Duo, which is a dual-lumen cannula inserted via the right internal jugular vein, with its proximal inflow lumen positioned in the right atrium and distal lumen positioned in the main pulmonary artery. These lumens are connected with the paracorporeal TandemHeart pump allowing flows up to 5 L/min. The alternative percutaneous option for right ventricular support is the Impella RP (Abiomed), which has to be placed in the femoral vein, preventing ambulation. The axillary and internal jugular vein positions for devices are probably less prone to infection compared to the femoral area. The combination of an Impella inserted via the axillary artery with the Protek Duo is a viable option, allowing ambulation while providing biventricular support.

Trends in Incidence and Outcomes of Pregnancy-Related Acute Myocardial Infarction (From a Nationwide Inpatient Sample Database).

Acute myocardial infarction (AMI) during pregnancy is rare but fatal complication. Recent incidence of pregnancy related AMI and trends in the related outcomes are unknown. The Nationwide Inpatient Sample database was utilized from years 2005 to 2014. International Classification of Disease-Ninth Revision were used to identify pregnancy related admissions and AMI. Primary outcome was incidence and trend of AMI related to pregnancy and Secondary outcomes were trends in mortality, resource utilization, and predictors of AMI during pregnancy. Simple logistic regression model was used to calculate predictors of AMI during pregnancy. p Values for trends were generated by Cochrane-Armitage test for categorical variables and simple linear regression for continuous variables. A total of 43,437,621 pregnancy related hospitalization and 3,786 cases of AMI (86% ante-partum and 14% postpartum) were noted during study period. The incidence of AMI during the study period was 8.7 per 100,000 pregnancies with an overall increase in incidence during the study period (relative increase of 18.9%, p <0.001). There was a concomitant decrease in mortality (relative decrease of 40.05%, p <0.001), cost of care (relative decrease of 8.70%, p <0.001), and length of stay (relative decrease of 13.53%, p <0.001). Significant predictors of AMI during pregnancy were higher age of pregnancy, black race, co-morbidities such as hypertension, thrombophilia, diabetes milletus, substance abuse, smoking, hyperlipidemia, heart failure, deep venous thrombosis, transfusion, fluid and electrolyte imbalance, and postpartum complications such as hemorrhage, infection, and depression. In conclusion, the incidence of AMI 2005 to 2014 rose with a concomitant decrease in mortality and resource utilization. High-risk patient characteristics were identified which could be utilized for resource allocation to further improve outcomes.

Heart failure: Same-hospital vs. different-hospital readmission outcomes.

BACKGROUND: Heart Failure (HF) is a major driver of the readmissions/penalties in the US. Although extensive literature on rehospitalization attributed to HF, studies to compare outcomes for same-hospital vs. different-hospital readmissions are sparse. METHODS: Nationwide Readmission Database from 2010 to 14 utilized for HF-related hospitalization using appropriate ICD-9-CM diagnostic codes. 30-day readmissions were classified into two groups: same-hospital and different-hospital. A comparative analysis was conducted focusing on: in-hospital mortality, length of stay (LOS) and hospitalization cost. Hierarchical two-level modeling and propensity score matching utilized to adjust confounders. RESULTS: 715,993 HF readmissions were identified, of which 21.3% were readmitted to different-hospital. Elderly, females, patients with higher co-morbidities and higher median household income were less likely to be readmitted to different-hospital. Index hospitalizations in a teaching hospital and/or larger hospital were associated with reduced different-hospital readmissions. Readmissions to the different hospital were associated with higher in-hospital mortality (7.7% vs. 6.6%, p < 0.001), higher resource utilization (LOS:7.5 days vs. 6.1 days, p < 0.001 and Cost: $22,602 vs. $13,740, p < 0.001) after adjusting for propensity score match. Similar results were observed with propensity score matching of multiple high-risk subgroups. CONCLUSION: Resources should be directed towards minimizing different-hospital HF readmissions to improve patient outcomes by identifying the vulnerable subgroup and further tailoring in-hospital and post-discharge care.

Hospital Complications and Causes of 90-Day Readmissions After Implantation of Left Ventricular Assist Devices.

Left ventricular assist devices (LVADs) have emerged as an attractive option in patients with advance heart failure. Nationwide readmission database 2013 to 2014 was utilized to identify LVAD recipients using ICD-9 procedure code 37.66. The primary outcome was 90-day readmission. Readmission causes were identified using ICD-9 codes in primary diagnosis field. The secondary outcomes were LVAD associated with hospital complications. Hierarchic 2-level logistic models were used to evaluate study outcomes. We identified 4,693 LVAD recipients (mean age 57 years, 76.2% males). Of which 53.9% were readmitted in first 90 days of discharge. Cardiac causes (33.3%), bleeding (21.3%), and infections (12.4%) were leading etiologies of 90-day readmissions. Significant predictors (odds ratio, 95% confidence interval, p value) of readmission were disposition to nursing facilities (1.33, 1.09 to 1.63, p = 0.01) and longer length of stay (1.01, 1.00 to 1.01, p <0.01). Although private insurance (0.75, 0.66 to 0.86, p <0.01), and self-pay (0.58, 0.42 to 0.81, p <0.01) predicted lower readmissions. Cardiac complications (36.3%), major bleeding (29.8%), and postoperative infections (10.4%) were most common LVAD-related complications. In conclusion, high early readmission rate was observed among LVAD recipients with Cardiac complications, bleeding complications, and infections were driving force for major complications and most of readmissions.

Temporal trends of in-hospital complications associated with catheter ablation of atrial fibrillation in the United States: An update from Nationwide Inpatient Sample database (2011-2014).

BACKGROUND: Catheter ablation is widely accepted intervention for atrial fibrillation (AF) refractory to antiarrhythmic drugs, but limited data are available regarding contemporary trends in major complications and in-hospital mortality due to the procedure. This study was aimed at exploring the temporal trends of in-hospital mortality, major complications, and impact of hospital volume on frequency of AF ablation-related outcomes. METHODS: The Nationwide Inpatient Sample database was utilized to identify the AF patients treated with catheter ablation. In-hospital death and common complications including vascular access complications, cardiac perforation and/or tamponade, pneumothorax, stroke, and transient ischemic attack, were identified using International Classification of Disease (ICD-9-CM) codes. RESULT: In-hospital mortality rate of 0.15% and overall complication rate of 5.46% were noted among AF ablation recipients (n = 50,969). Significant increase in complications during study period (relative increase 56.37%, P-trend < 0.001) was observed. Cardiac (2.65%), vascular (1.33%), and neurological (1.05%) complications were most common. On multivariate analysis (odds ratio [OR]; 95% confidence interval [95% CI]; P value), significant predictors of complications were female sex (OR = 1.40; CI = 1.17-1.68; P value < 0.001), high burden of comorbidity as indicated by Charlson Comorbidity Index ≥2 (OR = 2.84; CI = 2.29-3.52; P value < 0.001), and low hospital volume (< 50 procedures). CONCLUSION: Our study noted a decline in AF ablation-related hospitalizations and complications associated with the procedure. These findings largely reflect shifting trends of outpatient performance of the procedure and increasing safety profile due to improved institutional expertise and catheter techniques.

Short-term outcomes of atrial flutter ablation.

BACKGROUND: Understanding the factors associated with early readmissions following atrial flutter (AFL) ablation is critical to reduce the cost and improving the quality of life in AFL patients. METHOD: The study cohort was derived from the national readmission database 2013-2014. International Classification of Diseases, 9th Revision (ICD-9-CM) diagnosis code 427.32 and procedure code 37.34 were used to identify AFL and catheter ablation, respectively. The primary and secondary outcomes were 90-day readmission and complications including in-hospital mortality. Cox proportional regression and hierarchical logistic regression were used to generate the predictors of primary and secondary outcomes respectively. Readmission causes were identified by ICD-9-CM code in primary diagnosis field of readmissions. RESULT: Readmission rate of 18.19% (n = 1,010 with 1,396 readmissions) was noted among AFL patients (n = 5552). Common etiologies for readmission were heart failure (12.23%), atrial fibrillation (11.13%), atrial flutter (8.93%), respiratory complications (9.42%), infections (7.4%), bleeding (7.39%, including GI bleed-4.09% and intracranial bleed-0.79%) and stroke/TIA (1.89%). Multivariate predictors of 90-day readmission (hazard ratio, 95% confidence interval, P value) were preexisting heart failure (1.30, 1.13-1.49, P < 0.001), chronic pulmonary disease (1.37, 1.18-1.58, P < 0.001), anemia (1.23, 1.02-1.49, P = 0.035), malignancy (1.87, 1.40-2.49, P < 0.001), weekend admission compared to weekday admission (1.23, 1.02-1.47, P = 0.029), and length of stay (LOS) ≥5 days (1.39, 1.16-1.65, P < 0.001). Note that 50% of readmissions happened within 30 days of discharge. CONCLUSION: Cardiac etiologies remain the most common reason for the readmission after AFL ablation. Identifying high risk patients, careful discharge planning, and close follow-up postdischarge can potentially reduce readmission rates in AFL ablation patients.

Etiologies, Trends, and Predictors of 30-Day Readmissions in Patients With Diastolic Heart Failure.

An estimated half of all heart failure (HF) populations has been categorized to have diastolic HF (DHF), but sparse data are available describing etiologies and predictors of 30-day readmission in DHF population. The study cohort was derived from the National Readmission Database 2013 to 2014, a subset of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. DHF was identified using International Classification of Diseases, 9th Revision code 428.3x in primary diagnosis field. Readmission etiologies were identified by International Classification of Diseases, 9th Revision code in primary diagnosis field. The primary outcome was 30-day readmission. Hierarchical multivariable logistic regression was used to adjust for confounders. In total, 192,394 patients with DHF were included, of which 40,927 (21.27%) patients were readmitted with total readmissions of 47,056 within 30 days. Predictors of increased readmissions were age (odds ratio [OR] 1.002, 95% confidence interval [CI] 1.001 to 1.0003, p <0.001), diabetes (OR 1.08, 95% CI 1.05 to 1.11, p <0.001), chronic pulmonary disease (OR 1.18, 95% CI 1.15 to 1.21, p <0.001), renal failure (OR 1.21, 95% CI 1.17 to 1.25, p <0.001), peripheral vascular disease (OR 1.05, 95% CI 1.02 to 1.09, p = 0.002), anemia (OR 1.12, 95% CI 1.10 to 1.15, p <0.001), transfusion during index admission (OR 1.18, 95% CI 1.13 to 1.23, p <0.001), discharge to the facility (OR 1.13, 95% CI 1.10 to 1.16, p <0.001), length of stay >2 days, and Charlson comorbidity index ≥3, whereas obesity (OR 0.82, 95% CI 0.80 to 0.85, p <0.001), elective admissions (OR 0.88, 95% CI 0.83 to 0.94, p <0.001), and non-Medicare/Medicaid primary payer were predictors of lower readmission rate. Most common etiologies of readmission were acute HF (28.01%), infections (9.54%), acute kidney injury (5.35%), acute respiratory failure (4.86%), and pneumonia (3.92%). In conclusion, DHF population with higher comorbidity burden, longer length of stay, and discharge to facility were prone to increased readmissions, with most common etiologies of readmission being HF, infections, and acute kidney injury.

Etiologies, Trends, and Predictors of 30-Day Readmission in Patients With Heart Failure.

Heart failure (HF) is the most common discharge diagnosis across the United States, and these patients are particularly vulnerable to readmissions, increasing attention to potential ways to address the problem. The study cohort was derived from the Healthcare Cost and Utilization Project's National Readmission Data 2013, sponsored by the Agency for Healthcare Research and Quality. HF was identified using appropriate International Classification of Diseases, Ninth Revision, Clinical Modification codes. Readmission was defined as a subsequent hospital admission within 30 days after discharge day of index admission. Readmission causes were identified using International Classification of Diseases, Ninth Revision, codes in primary diagnosis filed. The primary outcome was 30-day readmission. Hierarchical 2-level logistic models were used to evaluate study outcomes. From a total 301,892 principal admissions (73.4% age ≥65 years and 50.6% men), 55,857 (18.5%) patients were readmitted with a total of 64,264 readmissions during the study year. Among the etiologies of readmission, cardiac causes (49.8%) were most common (HF being most common followed by coronary artery disease and arrhythmias), whereas pulmonary causes were responsible for 13.1% and renal causes for 8.9% of the readmissions. Significant predictors of increased 30-day readmission included diabetes (odds ratio, 95% confidence interval, p value: 1.06, 1.03 to 1.08, p <0.001), chronic lung disease (1.13, 1.11 to 1.16, p <0.001), renal failure/electrolyte imbalance (1.12, 1.10 to 1.15, p <0.001), discharge to facilities (1.07, 1.04 to 1.09, p <0.001), lengthier hospital stay, and transfusion during index admission. In conclusion, readmission after a hospitalization for HF is common. Although it may be necessary to readmit some patients, the striking rate of readmission demands efforts to further clarify the determinants of readmission and develop strategies in terms of quality of care and care transitions to prevent this adverse outcome.