Hospital readmissions of patients with heart failure from real world: timing and associated risk factors

In-hospital bioimpedance-derived total body water predicts short-term cardiovascular mortality and re-hospitalizations in acute decompensated heart failure patients

BACKGROUND

Hospital re-admissions in heart failure (HF) patients are mostly caused by an acute exacerbation of their chronic congestion. Bioimpedance analysis (BIA) has emerged as a promising non-invasive method to assess the volume status in HF. However, its correlation with clinically assessed volume status and its prognostic value in the acute intra-hospital setting remains uncertain.

METHODS AND RESULTS

In this single-center observational study, patients (n = 49) admitted to the cardiology ward for acute decompensated HF (ADHF) underwent a daily BIA-derived volume status assessment. Median hospital stay was 7 (4-10) days. Twenty patients (40%) reached the composite endpoint of cardiovascular mortality or re-hospitalization for HF over 6 months. Patients at discharge displayed improved NYHA class, lower body weight, plasma and blood volume, as well as lower NT-proBNP levels compared to the admission. Compared to patients with total body water (TBW) less than or equal to that predicted by body weight, those with higher relative TBW levels had elevated NT-proBNP and E/e´ (both p < 0.05) at discharge. In the Cox multivariate regression analysis, the BIA-derived delta TBW between admission and discharge showed a 23% risk reduction for each unit increase (HR = 0.776; CI 0.67-0.89; p = 0.0006). In line with this finding, TBW at admission had the highest prediction importance of the combined endpoint for a subgroup of high-risk HF patients (n = 35) in a neural network analysis.

CONCLUSION

In ADHF patients, BIA-derived TBW is associated with the increased risk of HF hospitalization or cardiovascular death over 6 months. The role of BIA for prognostic stratification merits further investigation.

Association of non-cardiac comorbidities and sex with long-term Re-hospitalization for heart failure

Heart failure (HF) often coexists with non-cardiac comorbidities (NCC), but their association with long-term HF re-hospitalizations is not defined. Using the Lombardy Regional Health Database, that includes >10 million residents, we assessed the risk of re-hospitalization for HF after first HF discharge as a function of NCC, employing age- and sex-adjusted Cox proportional-hazard models. Kaplan Meier curves for HF re-hospitalizations were stratified for number of NCC. End of follow-up was June 30th 2021. Between January 1st 2015 to December 31st 2019, 88,528 consecutive patients were discharged from hospital with a primary diagnosis of HF; over 42.8 ± 18.3 months follow-up, 79,533 HF re-hospitalizations occurred (32.94/100 patient/year). Number of NCC, age, and male sex were significantly associated with re-hospitalization risk. Compared to those without NCC, females and males with >4 NCC had a 3.08 (CI 2.73-3.47) and a 2.62 (CI 2.39-2.87) fold higher risk, respectively. Risk of all-cause death increased with number of NCC (hazard ratio (HR): 1.42 (1.38-1.46) for HF patients with 1-2 NCC, HR: 1.90 (1.82-1.98) for patients with 3-4 NCC, HR: 2.20 (2.01-2.40) for those with HF and >4 NCC), as it did the number of days spent in hospital because of HF (from 19.91±19.25 for patients without NCC to 45.35±33.00 days for those with >4 NCC, p < 0.0001). In conclusion, this study shows that in patients hospitalized with HF, HF re-hospitalizations, all-cause mortality, and time spent in hospital increased with number of NCC. NCC associates with a worse clinical trajectory in patients with HF.

Machine learning-based 30-day readmission prediction models for patients with heart failure: a systematic review

AIMS

Heart failure (HF) is one of the most frequent diagnoses for 30-day readmission after hospital discharge. Nurses have a role in reducing unplanned readmission and providing quality of care during HF trajectories. This systematic review assessed the quality and significant factors of machine learning (ML)-based 30-day HF readmission prediction models.

METHODS AND RESULTS

Eight academic and electronic databases were searched to identify all relevant articles published between 2013 and 2023. Thirteen studies met our inclusion criteria. The sample sizes of the selected studies ranged from 1778 to 272 778 patients, and the patients' average age ranged from 70 to 81 years. Quality appraisal was performed.

CONCLUSION

The most commonly used ML approaches were random forest and extreme gradient boosting. The 30-day HF readmission rates ranged from 1.2 to 39.4%. The area under the receiver operating characteristic curve for models predicting 30-day HF readmission was between 0.51 and 0.93. Significant predictors included 60 variables with 9 categories (socio-demographics, vital signs, medical history, therapy, echocardiographic findings, prescribed medications, laboratory results, comorbidities, and hospital performance index). Future studies using ML algorithms should evaluate the predictive quality of the factors associated with 30-day HF readmission presented in this review, considering different healthcare systems and types of HF. More prospective cohort studies by combining structured and unstructured data are required to improve the quality of ML-based prediction model, which may help nurses and other healthcare professionals assess early and accurate 30-day HF readmission predictions and plan individualized care after hospital discharge.

REGISTRATION

PROSPERO: CRD 42023455584.

Individual heart failure patient variability in nocturnal hypoxia and arrhythmias

Traditional heart failure research often uses daytime population parameter estimates to assess hypoxia and arrhythmias. This approach might not accurately represent heart failure patients as nighttime cardiac behaviors offer crucial insights into their health, especially regarding oxygen levels and heart rhythms. We conducted a prospective study on nocturnal oxygen saturation and heart rate in home-dwelling heart failure patients over 6 nights. Patients were recruited from the Walter Reed National Military Medical Center heart failure clinic. Criteria included a clinical diagnosis of heart failure, a New York Heart Association (NYHA) classification of I to III, ages between 21 to 90, cognitive intactness, capability to use the wearable device, and willingness to use the device for 6 consecutive nights. Average oxygen saturation was 92% with individual readings ranging from 40% to 100%. The mean heart rate was 72 beats per minute (bpm), but individual rates ranged from 18 bpm to a high of 296 bpm. A significant drop in oxygen levels and sleep arrhythmias were consistently observed among participants. Heart failure patients demonstrate notable and variable desaturations and arrhythmias across multiple nights. A single-night sleep study or a 24-hour heart rate monitor may not comprehensively depict patients' oxygenation and heart rate irregularities. Our research highlights wearable devices' potency in medical research for capturing essential nocturnal data. In only 6 nights, we gleaned invaluable clinical insights for optimizing patient care. This study is pioneering, being the first to intensively examine nighttime oxygen levels and heart rates in home-based heart failure patients.

Incidence and predictors of unplanned 30-day hospital readmissions among heart failure patients in Ethiopia: a 5-year retrospective cohort study

The burden of heart failure increases over time and is a leading cause of unplanned readmissions worldwide. In addition, its impact has doubled in countries with limited health resources, including Ethiopia. Identifying and preventing the possible contributing factors is crucial to reducing unplanned hospital readmissions and improving clinical outcomes. The study aimed to assess the incidence and predictors of 30-day unplanned readmission among heart failure patients at selected South Wollo general hospitals in 2022. A hospital-based retrospective cohort study design was employed from January 1, 2016, to December 30, 2020. The data was collected from 572 randomly selected medical records using data extraction checklists. Data were entered in Epi-Data version 4.6 and analyzed with Stata version 17. The Kaplan-Meier and log-rank tests were used to estimate and compare the survival failure time. A Cox proportional hazard analysis was used to identify the predictors of readmission. The statistical significance level was declared at a p-value < 0.05 with an adjusted odds ratio and a 95% confidence interval. A total of 151 (26.40%) heart failure patients were readmitted within 30 days of discharge. Among the study participants, 302 (52.8%) were male, and 370 (64.7%) were rural residents. The mean age was 45.8 ± 14.1 SD years. In the multivariate Cox proportional hazards analysis being an age (> 65 years) (AHR: 3.172, 95% CI:.21, 4.55, P = 0.001), rural in residency (AHR: 2.47, 95%CI: 1.44, 4.24, P = 0.001), Asthma or Chronic Obstructive Pulmonary Disease (AHR: 1.62, 95% CI: 1.11, 2.35, P = 0.012), HIV/AIDS (AHR: 1.84, 95%CI: 1.24, 2.75, P = 0.003), Haemoglobin level 8-10.9 g/dL (AHR: 6.20, 95% CI: 3.74, 10.28, P = 0.001), and Mean platelet volume > 9.1 fl (AHR: 2.08, 95% CI: 1.27, 3.40, P = 0.004) were identified as independent predictors of unplanned hospital readmission. The incidence of unplanned hospital readmission was relatively high among heart failure patients. Elderly patients, rural residency, comorbidity, a higher mean platelet volume, and a low hemoglobin level were independent predictors of readmission. Working on these factors will help reduce the hazards of unplanned hospital readmission.

Race, Social Determinants of Health, and Comorbidity Patterns Among Participants with Heart Failure in the REasons for Geographic and Racial Differences in Stroke (REGARDS) Study

Background

Among individuals with heart failure (HF), racial differences in comorbidities may be mediated by social determinants of health (SDOH).

Methods

Black and White US community-dwelling participants in the REasons for Geographic and Racial Differences in Stroke (REGARDS) study aged ≥ 45 years with an adjudicated HF hospitalization between 2003 and 2017 were included in this cross-sectional analysis. We assessed whether higher prevalence of comorbidities in Black participants compared to White participants were mediated by SDOH in socioeconomic, environment/housing, social support, and healthcare access domains, using the inverse odds weighting method.

Results

Black (n = 240) compared to White (n = 293) participants with HF with preserved ejection fraction (HFpEF) had higher prevalence of diabetes [1.38 (95% CI: 1.18 - 1.61)], chronic kidney disease [1.21 (95% CI: 1.01 - 1.45)], and anemia [1.33 (95% CI: 1.02 - 1.75)] and lower prevalence of atrial fibrillation [0.80 (95% CI: (0.65 - 0.98)]. Black (n = 314) compared to White (n = 367) participants with HF with reduced ejection fraction (HFrEF) had higher prevalence of hypertension [1.04 (95% CI: 1.02 - 1.07)] and diabetes [1.26 (95% CI: 1.09 - 1.45)] and lower prevalence of coronary artery disease [0.86 (95% CI: 0.78 - 0.94)] and atrial fibrillation [0.70 (95% CI: 0.58 - 0.83)]. Socioeconomic status explained 14.5%, 26.5% and 40% of excess diabetes, anemia, and chronic kidney disease among Black adults with HFpEF; however; mediation was not statistically significant and no other SDOH substantially mediated differences in comorbidity prevalence.

Conclusions

Socioeconomic status partially mediated excess diabetes, anemia, and chronic kidney disease experienced by Black adults with HFpEF, but differences in other comorbidities were not explained by other SDOH examined.

The impact of discharge letter content on unplanned hospital readmissions within 30 and 90 days in older adults with chronic illness - a mixed methods study

BACKGROUND

Care transitions are high-risk processes, especially for people with complex or chronic illness. Discharge letters are an opportunity to provide written information to improve patients' self-management after discharge. The aim of this study is to determine the impact of discharge letter content on unplanned hospital readmissions and self-rated quality of care transitions among patients 60 years of age or older with chronic illness.

METHODS

The study had a convergent mixed methods design. Patients with chronic obstructive pulmonary disease or congestive heart failure were recruited from two hospitals in Region Stockholm if they were living at home and Swedish-speaking. Patients with dementia or cognitive impairment, or a "do not resuscitate" statement in their medical record were excluded. Discharge letters from 136 patients recruited to a randomised controlled trial were coded using an assessment matrix and deductive content analysis. The assessment matrix was based on a literature review performed to identify key elements in discharge letters that facilitate a safe care transition to home. The coded key elements were transformed into a quantitative variable of "SAFE-D score". Bivariate correlations between SAFE-D score and quality of care transition as well as unplanned readmissions within 30 and 90 days were calculated. Lastly, a multivariable Cox proportional hazards model was used to investigate associations between SAFE-D score and time to readmission.

RESULTS

All discharge letters contained at least five of eleven key elements. In less than two per cent of the discharge letters, all eleven key elements were present. Neither SAFE-D score, nor single key elements correlated with 30-day or 90-day readmission rate. SAFE-D score was not associated with time to readmission when adjusted for a range of patient characteristics and self-rated quality of care transitions.

CONCLUSIONS

While written summaries play a role, they may not be sufficient on their own to ensure safe care transitions and effective self-care management post-discharge.

TRIAL REGISTRATION

Clinical Trials. giv, NCT02823795, 01/09/2016.

Efficacy of left bundle branch area pacing versus biventricular pacing in patients treated with cardiac resynchronization therapy: Select site - cohort study

BACKGROUND

Cardiac resynchronization therapy (CRT) is typically attempted with biventricular (BiV) pacing. One-third of patients are nonresponders. Left bundle branch area pacing (LBBAP) has been evaluated as an alternative means.

OBJECTIVE

The purpose of this study was to assess the feasibility and clinical response of permanent LBBAP as an alternative to BiV pacing.

METHODS

Of 479 consecutive patients referred with heart failure, 50 with BiV-CRT and 51 with LBBAP-CRT were included in this analysis after study exclusions. Quality-of-Life (QoL) assessments, echocardiographic measurements, and New York Heart Association (NYHA) class were obtained at baseline and at 6-monthly intervals.

RESULTS

There were no differences in baseline characteristics between groups (all P > .05). Clinical outcomes such as left ventricular ejection fraction, left ventricular end-systolic volume, QoL, and NYHA class were significantly improved for both pacing groups compared to baseline. The LBBAP-CRT group showed greater improvement in left ventricular ejection fraction at 6 months (P = .001) and 12 months (P = .021), accompanied by greater reduction in left ventricular end-systolic volume (P = .007). QRS duration < 120 ms (baseline 160.82 ± 21.35 ms vs 161.08 ± 24.48 ms) was achieved in 30% in the BiV-CRT group vs 71% in the LBBAP-CRT group (P ≤ .001). Improvement in NYHA class (P = .031) and QoL index was greater (P = .014). Reduced heart failure admissions (P = .003) and health care utilization (P < .05) and improved lead performance (P < .001) were observed in the LBBAP-CRT group.

CONCLUSION

LBBAP-CRT is feasible and effective CRT. It results into a meaningful improvement in QoL and reduction in health care utilization. This can be offered as an alternative to BiV-CRT or potentially as first-line therapy.

Factors affecting hospitalization and mortality in a retrospective study of elderly patients with heart failure

BACKGROUND

Heart failure (HF) has a high prevalence in an elderly population and leads to a substantial hospitalization and mortality. The objective of this study was to investigate factors that affect hospitalization and mortality in an elderly population.

METHODS

A retrospective observational study was conducted of HF patients aged 76-95 years residing in Region Halland, Sweden. Between 2013 and 2019, a total of 3134 patients received a novel diagnosis of HF and were subsequently monitored for one year using data from a healthcare database. The patients were categorized into HF-phenotypes according to ejection fraction (EF) and those with HF diagnose solely based on clinical criteria with no defined EF. Cox regression analysis for hospital admissions and mortality was evaluated adjusted for pharmacotherapies, healthcare utilization and clinical characteristics.

RESULTS

Echocardiogram was performed in 56% of the patients and 51% were treated with recommended HF pharmacotherapy with betablockers combined with renin-angiotensin-aldosterone-system inhibition. The average number of inpatient days was 10.7 while the average number of visits to primary care physician was 5.4 and 8.7 to primary care nurse respectively. A Cox regression analysis for hospital admissions and mortality revealed that an eGFR < 30 ml/min was associated with a hazard ratio (HR) of 1.88 (confidence interval [CI] 1.56-2.28), elevated NT-proBNP with an HR of 2.09 (CI 1.59-2.76), diabetes with an HR of 1.31 (CI 1.13-1.52), and chronic obstructive pulmonary disease with an HR of 1.51 (CI 1.29-1.77). Having a primary care physician visit was associated to an HR of 0.16 (CI 0.14-0.19), and the use of recommended heart failure pharmacotherapy was associated with an HR of 0.52 (CI 0.44-0.61).

CONCLUSIONS

In a Swedish elderly population with HF, factors such as advancing age, kidney dysfunction, elevated NT-proBNP levels, diabetes, and COPD were associated with an increased risk of both mortality and hospitalization. Conversely, patients who received recommended heart failure treatment and made regular visits to their primary care physician were associated with a decreased risk. This indicates that elderly patients with HF benefit from recommended HF treatment and highlights that follow-ups in primary care could be advantageous.

Takotsubo cardiomyopathy and psychiatric illness- insight from National Inpatient Sample (NIS) and National Re-admission Database (NRD) 2016 to 2018

BACKGROUND

Emotional stress is a common precipitating cause of takotsubo cardiomyopathy (TC). Preexisting psychiatric disorder (PD) was linked to worsening outcomes in patients with TC1,2. However, there is limited data in literature to support this. This study aimed to determine the differences in outcomes in TC patients with and without PD.

METHODS

We identified all patients with a diagnosis of TC using the National Inpatient Sample (NIS) and the National Readmission Database (NRD) data from 2016 to 2018. The patients were separated into TC with PD group and TC without PD group. Multiple variable logistic regression was then performed.

RESULTS

Using NIS 2016-2018, we identified 23,220 patients with TC, and 43.11% had PD. The mean age was 66.73 ± 12.74 years, with 90.42% being female sex. The TC with PD group had a higher 30-readmission rate 1.25 (95% CI:1.06-1.47), Cardiogenic shock [aOR = 7.3 (95%CI 3.97-13.6), Mechanical ventilation [aOR = 4.2 (95%CI 2.4-7.5), Cardiac arrest [aOR = 2.6 (95%CI 1.1-6.3), than TC without PD group.

CONCLUSION

Psychiatric disorders were found in up to 43% of patients with TC. The concomitant PD in TC patients was not associated with increased mortality, AKI, but had higher rates of cardiogenic shock, use of mechanical ventilation and cardiac arrest. The TC group with PD was also associated with increased 30-day readmission, LOS and total charges compared to TC patients without PD.

Effect of a transitional care model following hospitalization for heart failure: 3-year outcomes of the Patient-Centered Care Transitions in Heart Failure (PACT-HF) randomized controlled trial

AIMS

Patients are at high risk of death or readmission following hospitalization for heart failure (HF). We tested the effect of a transitional care model that included month-long nurse-led home visits and long-term heart function clinic visits - with services titrated to estimated risk of clinical events - on 3-year outcomes following hospitalization.

METHODS AND RESULTS

In a pragmatic, stepped-wedge cluster randomized trial, 10 hospitals were randomized to the intervention versus usual care. The primary outcome was a composite of all-cause death, readmission, or emergency department (ED) visit. Secondary outcomes included components of the primary composite outcomes, HF readmissions and healthcare resource utilization. There were 2494 patients (50.4% female) with mean age of 77.7 years. The primary outcome was reached in 1040 (94.2%) patients in the intervention and 1314 (94.5%) in the usual care group at 3 years. The intervention did not reduce the risk of the primary composite outcome (hazard ratio [HR] 0.92, 95% confidence interval [CI] 0.81-1.05) nor the component outcomes overall, although numerically reduced the risk of ED visits in women but not men (HR 0.79, 95% CI 0.63-1.00 vs. HR 0.98, 95% CI 0.80-1.19; sex-treatment interaction p = 0.23). The uptake of guideline-directed medical therapy was no different with the intervention than with usual care, with the exception of sacubitril/valsartan, which increased with the intervention (3.3% vs 1.5%; relative risk 6.2, 95% CI 1.92-20.06).

CONCLUSIONS

More than 9 of 10 patients hospitalized for HF experienced all-cause death, readmission, or ED visit at 3 years. A transitional care model with services titrated to risk did not improve the composite of these endpoints, likely because there were no major differences in uptake of medical therapies between the groups.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT02112227.

Medication adherence in adults after hospitalization for heart failure: A cross-sectional study

Background

Medication non-adherence in heart failure (HF) leads to increased mortality, morbidity and healthcare costs. However, no study has investigated HF patients' post-hospitalization medication non-adherence in Switzerland.

Objectives

Our primary aim was to assess the prevalence of post-discharge medication non-adherence in patients with HF. A secondary objective was to identify differences between fully and partially adherent patients regarding selected unplanned therapy-related inpatient/outpatient cardiology visits.

Methods

A non-experimental cross-sectional study was applied. The prevalence of medication adherence was assessed with a German-translated version of the Medication Adherence Report Scale (MARS-5) and analyzed descriptively. Differences between adherent and partially adherent patients' numbers of medications, dosing per day and 180-day unplanned inpatient stays or cardiology outpatient visits were explored.

Results

Of 153 recruited patients, 72 participated in the survey. Of these, 26.4 % were not fully adherent. Their most common reason was forgetfulness (23.7 %). There were no significant group differences regarding therapy-related variables or 180-day unplanned cardiology stays/visits.

Conclusions

Considering that over one-quarter of surveyed HF patients were not fully medication adherent, Swiss cardiology nurses need to be sensitized to this issue and trained in adherence-enhancing interventions. Reaching acceptable adherence levels in patients with HF will require further research and action.

Sodium-glucose cotransporter 2 inhibitors are associated with reduced risk of mortality and readmissions in heart failure

AIMS

Compelling evidence from randomized trials has shown that sodium-glucose cotransporter 2 inhibitors (SGLT2is) are effective in heart failure (HF) across the spectrum of left ventricular ejection fractions. However, there are very few studies with real-world data.

METHODS AND RESULTS

A retrospective cohort analysis was performed based on patient-level data from the Swedish Heart Failure Registry (SwedeHF) linked with three other national registers. Patients included had an index registration between 3 September 2013 and 31 December 2020 in SwedeHF and were on treatment with guideline-recommended therapy without or with SGLT2i 3 months before or 6 months after their index registration. Endpoints were mortality or readmissions. Association between the use of SGLT2i and endpoints was studied using adjusted Cox models. In the overall cohort, 796/22 405 patients were included with/without SGLT2i. In patients with SGLT2i, 93.5% had diabetes mellitus. In the overall cohort, SGLT2i was statistically significantly associated with all-cause mortality {hazard ratio [HR]: 0.61 [95% confidence interval (CI) 0.48-0.79], P < 0.0001}, cardiovascular mortality [HR: 0.29 (95% CI 0.17-0.50), P < 0.0001], cardiovascular mortality or HF readmission [HR: 0.89 (95% CI 0.80-1.00), P = 0.046], and all-cause readmissions [HR: 0.90 (95% CI 0.81-0.99), P = 0.038]. Similar results were obtained for the diabetes cohort. However, no association with cause-specific readmissions was observed.

CONCLUSIONS

This nationwide real-world study indicates that patients with HF, in which majority coexisted with diabetes mellitus, who received SGLT2i were statistically significantly associated with lower risk for all-cause mortality, cardiovascular mortality, cardiovascular mortality or HF readmissions, and all-cause readmissions, in line with the randomized trials assessing SGLT2i.

Impact of Multidisciplinary Heart Failure Clinic on Guideline-Directed Medical Therapy and Clinical Outcomes

Background

Heart failure (HF) is associated with recurrent hospital admissions and high mortality. Guideline-directed medical therapy has been shown to improve prognosis for patients who have HF with reduced ejection fraction (HFrEF). Despite the proven benefits of guideline-directed medical therapy, its utilization is less than optimal among patients with HF in Malaysia.

Objective

To determine the impact of a multidisciplinary team HF (MDT-HF) clinic on the use of guideline-directed medical therapy and patients' clinical outcomes at 1 year.

Methods

This retrospective study was conducted in a single cardiac centre in Malaysia. Patients with HFrEF who were enrolled in the MDT-HF clinic between November 2017 and June 2020 were compared with a matched control group who received the standard of care. Data were retrieved from the hospital electronic system and were analyzed using statistical software.

Results

A total of 54 patients were included in each group. Patients enrolled in the MDT-HF clinic had higher usage of renin-angiotensin system blockers (54 [100%] vs 47 [87%], p < 0.001) and higher attainment of the target dose for these agents (35 [65%] vs 5 [9%], p < 0.001). At 1 year, the mean left ventricular ejection fraction (LVEF) was significantly greater in the MDT-HF group (35.7% [standard deviation 12.3%] vs 26.2% [standard deviation 8.7%], p < 0.001), and care in the MDT-HF clinic was significantly associated with better functional class, with a lower proportion of patients categorized as having New York Heart Association class III HF at 1 year (1 [2%] vs 14 [26%], p = 0.001). Patients in the MDT-HF group also had a significantly lower rate of readmission for HF (4 [7%] vs 32 [59%], p < 0.001).

Conclusions

Patients who received care in the MDT-HF clinic had better use of guideline-directed medical therapy, greater improvement in LVEF, and a lower rate of readmission for HF at 1 year relative to patients who received the standard of care.

Evaluation of the nurse-assisted eHealth intervention 'eHealth@Hospital-2-Home' on self-care by patients with heart failure and colorectal cancer post-hospital discharge: protocol for a randomised controlled trial

BACKGROUND

Patients with heart failure (HF) and colorectal cancer (CRC) are prone to comorbidity, a high rate of readmission, and complex healthcare needs. Self-care for people with HF and CRC after hospitalisation can be challenging, and patients may leave the hospital unprepared to self-manage their disease at home. eHealth solutions may be a beneficial tool to engage patients in self-care.

METHODS

A randomised controlled trial with an embedded evaluation of intervention engagement and cost-effectiveness will be conducted to investigate the effect of eHealth intervention after hospital discharge on the self-efficacy of self-care. Eligible patients with HF or CRC will be recruited before discharge from two Norwegian university hospitals. The intervention group will use a nurse-assisted intervention-eHealth@Hospital-2-Home-for six weeks. The intervention includes remote monitoring of vital signs; patients' self-reports of symptoms, health and well-being; secure messaging between patients and hospital-based nurse navigators; and access to specific HF and CRC health-related information. The control group will receive routine care. Data collection will take place before the intervention (baseline), at the end of the intervention (Post-1), and at six months (Post-2). The primary outcome will be self-efficacy in self-care. The secondary outcomes will include measures of burden of treatment, health-related quality of life and 30- and 90-day readmissions. Sub-study analyses are planned in the HF patient population with primary outcomes of self-care behaviour and secondary outcomes of medication adherence, and readmission at 30 days, 90 days and 6 months. Patients' and nurse navigators' engagement and experiences with the eHealth intervention and cost-effectiveness will be investigated. Data will be analysed according to intention-to-treat principles. Qualitative data will be analysed using thematic analysis.

DISCUSSION

This protocol will examine the effects of the eHealth@ Hospital-2-Home intervention on self-care in two prevalent patient groups, HF and CRC. It will allow the exploration of a generic framework for an eHealth intervention after hospital discharge, which could be adapted to other patient groups, upscaled, and implemented into clinical practice.

TRIAL REGISTRATION

Clinical trials.gov (ID 301472).

Analysis and prediction of readmissions for heart failure in the first year after discharge with INCA score

To determine the readmissions trends and the comorbidities of patients with heart failure that most influence hospital readmission rates. Heart failure (HF) is one of the most prevalent health problems as it causes loss of quality of life and increased health-care costs. Its prevalence increases with age and is a major cause of re-hospitalisation within 30 days after discharge. INCA study had observational and ambispective design, including 4,959 patients from 2000 to 2019, with main diagnosis of HF in Extremadura (Spain). The variables examined were collected from discharge reports. To develop the readmission index, capable of discriminating the population with higher probability of re-hospitalisation, a Competing-risk model was generated. Readmission rate have increased over the period under investigation. The main predictors of readmission were: age, diabetes mellitus, presence of neoplasia, HF without previous hospitalisation, atrial fibrillation, anaemia, previous myocardial infarction, obstructive pulmonary disease (COPD) and chronic kidney disease (CKD). These variables were assigned values with balanced weights, our INCA index showed that the population with values greater than 2 for men and women were more likely to be re-admitted. Previous HF without hospital admission, CKD, and COPD appear to have the greatest effect on readmission. Our index allowed us to identify patients with different risks of readmission.

Frailty, health literacy and self-care in patients admitted with acute heart failure

BACKGROUND

There is limited knowledge from Norway on clinical characteristics, self-care and health literacy in patients admitted to hospital with acute heart failure. Our aim was to identify these factors in this group.

MATERIAL AND METHOD

We included patients admitted with acute heart failure over a period of six months (2022/2023) at Drammen Hospital and Vestfold Hospital Trust. Cardiac nurses collected information from the patients, including self-assessed knowledge on an ordinal scale from 0 (little knowledge) to 10 (good knowledge). Clinical frailty scores were calculated and data from the hospital records were recorded.

RESULTS

Of 136 patients with acute heart failure, 81 were included. Median age was 79 (range 35-95) years, 35 (43 %) were women. A total of 35 (43 %) had been admitted with heart failure exacerbation in the past year. The patients had a median of 5 (1-10) diagnoses, and the median score on the clinical frailty scale was 4 (1-7), corresponding to 'vulnerable'. A total of 63 (78 %) had been diagnosed with heart failure before admission to hospital. Of these, 13 (21 %) were unaware of the diagnosis, and their self-assessed knowledge was median 3 (25th and 75th percentile, 0-5) for management of heart failure, 2 (25th and 75th percentile, 0-5) for lifestyle interventions and 0 (25th and 75th percentile, 0-2) for heart medications. Altogether 42 out of 63 (67 %) weighed themselves weekly, 13 (21 %) measured their blood pressure, while 3 (5 %) had a self-care plan. Of 50 patients with left ventricle ejection fraction ≤ 40 %, 32 (64 %) were discharged with betablockers and angiotensin II receptor blockers or a combination drug with a neprilysin inhibitor, whereas 11 (22 %) were also prescribed SGLT2 inhibitors and mineralocorticoid receptor antagonists.

INTERPRETATION

The included patients were multimorbid and had a low level of self-care and health literacy. There is potential to optimise well-documented medicinal treatment.

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

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

New onset heart failure with reduced ejection fraction management: single center, real-life Tunisian experience

BACKGROUND

Heart failure (HF) is a serious and frequent pathology. It represents a major public health problem. We have few data about this pathology in our country. The aim of our study is to determine the epidemiological, clinical, therapeutic, and prognostic characteristics of new-onset HF with reduced left ventricular ejection fraction (HFrEF) and to study the degree of conformity of the management of HF with international recommendations.

RESULTS

Our study population includes 210 patients hospitalized for HFrEF newly diagnosed. The average age of our patients was 64 ± 12 years. A male predominance was noted with a sex ratio of 2.8. The main etiology of HF was ischemic heart disease noted in 97 patients (46.2%). The average LVEF is 33 ± 6%. The triple combination (angiotensin-converting enzyme inhibitors + beta blockers + Mineralocorticoid Receptor Antagonists) was prescribed in 75 patients (35.7%). The quadruple combination (angiotensin-converting enzyme inhibitors + beta blockers + Mineralocorticoid Receptor Antagonists + Sodium-Glucose Co-Transporter 2 inhibitors) was prescribed in 17 patients (8.1%). Myocardial revascularization was indicated in 97 patients (46.6%) and valve surgery was indicated in 49 patients (23.3%). Hospital mortality was 3.8% and at 1 year 18.1%. Among the 192 patients followed during the first year after discharge from hospital, 81 patients had to be re-hospitalized, i.e., a 1-year rehospitalization rate of 42.2%.

CONCLUSIONS

Our study highlighted the epidemiological and clinical features of HF in a Tunisian care center, revealing our patient management deficiency. This pushes us to have a new Tunisian register to enable a better statistical analysis and lead to more relevant conclusions.

The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study

BACKGROUND

Sensitive and interpretable machine learning (ML) models can provide valuable assistance to clinicians in managing patients with heart failure (HF) at discharge by identifying individual factors associated with a high risk of readmission. In this cohort study, we delve into the factors driving the potential utility of classification models as decision support tools for predicting readmissions in patients with HF.

OBJECTIVE

The primary objective of this study is to assess the trade-off between using deep learning (DL) and traditional ML models to identify the risk of 100-day readmissions in patients with HF. Additionally, the study aims to provide explanations for the model predictions by highlighting important features both on a global scale across the patient cohort and on a local level for individual patients.

METHODS

The retrospective data for this study were obtained from the Regional Health Care Information Platform in Region Halland, Sweden. The study cohort consisted of patients diagnosed with HF who were over 40 years old and had been hospitalized at least once between 2017 and 2019. Data analysis encompassed the period from January 1, 2017, to December 31, 2019. Two ML models were developed and validated to predict 100-day readmissions, with a focus on the explainability of the model's decisions. These models were built based on decision trees and recurrent neural architecture. Model explainability was obtained using an ML explainer. The predictive performance of these models was compared against 2 risk assessment tools using multiple performance metrics.

RESULTS

The retrospective data set included a total of 15,612 admissions, and within these admissions, readmission occurred in 5597 cases, representing a readmission rate of 35.85%. It is noteworthy that a traditional and explainable model, informed by clinical knowledge, exhibited performance comparable to the DL model and surpassed conventional scoring methods in predicting readmission among patients with HF. The evaluation of predictive model performance was based on commonly used metrics, with an area under the precision-recall curve of 66% for the deep model and 68% for the traditional model on the holdout data set. Importantly, the explanations provided by the traditional model offer actionable insights that have the potential to enhance care planning.

CONCLUSIONS

This study found that a widely used deep prediction model did not outperform an explainable ML model when predicting readmissions among patients with HF. The results suggest that model transparency does not necessarily compromise performance, which could facilitate the clinical adoption of such models.

A nationwide study of temporal trends of cause-specific hospital readmissions in patients with heart failure

AIMS

The impact of hospital readmissions on the outcomes of heart failure (HF) patients is well known. However, data on temporal trends of cause-specific hospital readmissions in these patients are limited.

METHODS AND RESULTS

From 1987 to 2014, we identified and followed up for 1 year 608 135 patients ≥18 years hospitalized with HF according to the International Classification of Diseases (ICD) 9 and 10 from the National Inpatient Register. Readmissions for cardiovascular (CVD) and non-CVD causes and co-morbidities were defined according to ICD-9 and ICD-10 codes. We analysed trends in the incidence rate of readmissions, the median time to the first rehospitalization, and the time to readmission, stratified by sex, age groups and cause of rehospitalization using linear regression. During our study, 1 year all-cause mortality decreased (β = -4.93, P < 0.0001), but the incidence rate of readmissions per 1000 person-years remained unchanged. The readmission rate for CVD causes decreased; in contrast, the readmission rate increased across all age and sex groups for non-CVD causes. Analysing the patients by study periods (1987-1997, 1998-2007 and 2008-2014), CVD and non-CVD co-morbidities had a statistically significant increasing trend (P < 0.001). The median time in hospital decreased and the median time to the first readmission were almost unchanged.

CONCLUSIONS

Contrary to a declining mortality rate, the incidence rate of readmissions saw no change, possibly because of divergent trends in cause-specific readmissions. An increasing rate of readmissions for non-CVD causes underscores the importance of optimising multimorbidity management to reduce the risk of readmissions in patients with HF.

Impact of a heart failure multidisciplinary clinic on the reduction of healthcare-related events and costs: the GEstIC study

Introduction

Heart failure (HF) is the leading cause of hospitalization in the elderly in developed countries and significantly impacts public health expenditures. Patients with HF usually have associated comorbidities that require multidisciplinary management. This study aims to demonstrate the benefits of a multidisciplinary clinic in reducing all-cause hospitalizations and HF events (HF hospitalizations and urgent HF visits) in a real-world setting. Finally, the study evaluates the associated costs of HF events.

Methods

This observational study included patients admitted to GEstIC, a multidisciplinary Portuguese HF clinic, from January 2013 to February 2019, who had one-year follow-up. Hospitalizations and HF events, total days spent in the hospital during HF hospitalizations, and HF events-related costs, in the year before and the year after GEstIC admission, were compared.

Results

Of the 487 patients admitted to the GEstIC, 287 were eligible for the study sample. After one year of HF patients' multidisciplinary management at GEstIC, there was a 53.7% reduction in all-cause hospitalizations (462 vs. 214), a 71.7% reduction in HF hospitalizations (392 vs. 111), and a 39.1% reduction in urgent HF visits (87 vs. 53). As a result, there was a significant decrease of 12.6 days in the length of hospital stay due to HF per patient (15.6 vs. 3.0, p < 0.001). This translated into the release of 9.9 hospital beds in the year following admission to GEstIC. The average total savings associated with the reduction of HF events was €5,439.77 per patient (6,774.15 vs. 1,334.38, p < 0.001), representing a total cost reduction of €1,561,213. Furthermore, the significant reduction in the number of all events was independent of the patient's left ventricular ejection fraction (LVEF).

Discussion

Significant reductions in all-cause and HF hospitalizations and urgent HF visits were observed with the implementation of this multidisciplinary clinic for HF patients' management. This was particularly important for patients with LVEF >40%. Before GEstIC, there was no medical intervention to improve the prognosis of these patients. The reduction of over one million euros in health-related costs after only one year of person-centered multidisciplinary management highlights the need to replicate this approach in other national healthcare institutions.

One-year trajectories of self-care behaviours and unplanned hospital readmissions among patients with heart failure: A prospective longitudinal study

AIM AND OBJECTIVES

This study aimed to identify the associations between longitudinal trajectories of self-care behaviours and unplanned hospital readmissions in patients with heart failure.

BACKGROUND

Adherence to self-care behaviours is crucial to prevent hospital readmissions; however, self-care behaviours remain unsatisfactory among patients with heart failure. Studies of long-term trajectories of self-care behaviours and their influence on hospital readmissions are limited in this population.

DESIGN

A prospective, longitudinal observational study.

METHODS

Among 137 participants with heart failure (mean age 67.36 years, 62% men), we analysed the 1-year follow-up data to determine the association between 1-year trajectories of self-care behaviours and hospital readmissions using Kaplan-Meier analysis and multivariable Cox regression, adjusted for confounding variables.

RESULTS

Self-care behaviour trajectories of heart failure patients were classified as 'high-stable' (58.4%) or 'low-sustained' (41.6%). The cumulative rate of readmissions for the low-sustained class was higher than that of the high-stable class for all periods. Factors influencing readmissions included anaemia, cognitive function, frailty and self-care behaviours trajectories. The low-sustained class had a 2.77 times higher risk of readmissions within 1 year than that in the high-stable class.

CONCLUSIONS

Longitudinal self-care behaviours pattern trajectories of heart failure patients were stratified as high-stable and low-sustained. Routine follow-up assessment of patients' self-care behavioural patterns, including anaemia and frailty, and cognitive function can minimise unplanned hospital readmissions.

RELEVANCE TO CLINICAL PRACTICE

Identification of trajectory patterns of self-care behaviours over time and provision of timely and individualised care can reduce readmissions for heart failure patients. Healthcare professionals should recognise the significance of developing tailored strategies incorporating longitudinal self-care behavioural patterns in heart failure patients.

REPORTING METHOD

The study has been reported in accordance with the STROBE checklist (Appendix S1).

PATIENT OR PUBLIC CONTRIBUTION

Patients have completed a self-reported questionnaire after providing informed consent.

Experiences of Heart Failure and the Treatment Journey: A Mixed-Methods Study Among Patients with Heart Failure in Sweden

Purpose

Qualitative studies that highlight the patient perspective of heart failure (HF) and its impact on the lives of patients are limited. Our study objective was to describe the patient's perspective on HF, including the diagnosis, treatment journey and healthcare interactions, and how HF impacts patients' lives and specifically their health-related quality of life (HRQoL) and work capacity.

Patients and Methods

This cross-sectional, non-interventional, mixed-methods patient experience study comprised: (i) a quantitative online survey with study-specific questions and assessments of HRQoL and work impairment among 101 patients with HF in Sweden and (ii) 35 qualitative interviews to gain in-depth understanding of the patients' experiences.

Results

Patients were found to experience a highly symptomatic and detrimental impact of HF on their HRQoL and work capacity. Fatigue was the most frequently reported symptom, and it was detrimental to all areas of patients' lives limiting them mentally, socially, and physically. Two-thirds of patients were not aware of the type of HF they had, one-third did not check their body weight regularly, and around half did not increase their physical exercise as recommended by both guidelines and healthcare practitioners. Patients preferred specialist to primary care, desired greater access to healthcare, and continuity in whom they interact with in primary care.

Conclusion

Patients with HF experience a highly symptomatic burden that affects them physically, mentally, and socially. Our study highlights a major gap in patients' knowledge about HF and HF-related healthcare. These results demonstrate a challenge for the Swedish healthcare system particularly as regards providing patients with continuity, accessibility, and proximity to primary care.

Assessing a nurse-assisted eHealth intervention posthospital discharge in adult patients with non-communicable diseases: a protocol for a feasibility study

INTRODUCTION

A growing number of patients with non-communicable diseases (NCDs), such as heart failure (HF) and colorectal cancer (CRC), are prone to comorbidity, a high rate of readmissions and complex healthcare needs. An eHealth intervention, however, could potentially ameliorate the increasing burdens associated with NCDs by helping to smoothen patient transition from hospital to home and by reducing the number of readmissions. This feasibility study therefore aims to assess the feasibility of a nurse-assisted eHealth intervention posthospital discharge among patients with HF and CRC, while also examining the preliminary clinical and behavioural outcomes of the intervention before initiating a full-scale randomised controlled trial. The recruitment ended in January 2023.

METHODS AND ANALYSIS

Twenty adult patients with HF and 10 adult patients with CRC will be recruited from two university hospitals in Norway. Six hospital-based nurse navigators (NNs) will offer support during the transition phase from hospital to home by using a solution for digital remote care, Dignio Connected Care. The patients will use the MyDignio application uploaded to an iPad for 30 days postdischarge. The interactions between patients and NNs will then be assessed through direct observation and qualitative interviews in line with a think-aloud protocol. Following the intervention, semistructured interviews will be used to explore patients' experiences of eHealth support and NNs' experiences of eHealth delivery. The feasibility testing will also comprise a post-test of the Post-System Usability Questionnaire and pretesting of patient-reported outcomes questionnaires, as well as an inspection of user data collected from the software.

ETHICS AND DISSEMINATION

The study has been approved by the Norwegian Centre for Research Data (ID.NO: 523386). All participation is based on informed, written consent. The results of the study will be published in open-access, peer-reviewed journals and presented at international and national scientific conferences and meetings.

Pathophysiology and Treatment Opportunities of Iron Deficiency in Heart Failure: Is There a Need for Further Trials?

PURPOSE OF REVIEW

Iron deficiency (ID) complicates heart failure (HF) at different stages of the natural history of the disease; however, this frequent comorbidity is still not comprehensively understood and investigated in terms of pathophysiology. Intravenous iron therapy with ferric carboxymaltose (FCM) should be considered to improve the quality of life, exercise capacity, and symptoms in stable HF with ID, as well as to reduce HF hospitalizations in iron-deficient patients stabilized after an episode of acute HF. The therapy with intravenous iron, however, continues to generate important clinical questions for cardiologists.

RECENT FINDINGS

In the current paper, we discuss the class effect concept for intravenous iron formulations beyond FCM, based on the experiences of nephrologists who administer different intravenous iron formulations in advanced chronic kidney disease complicated with ID and anemia. Furthermore, we discuss the neutral effects of oral iron therapy in patients with HF, because there are still some reasons to further explore this route of supplementation. The different definitions of ID applied in HF studies and new doubts regarding possible interactions of intravenous iron with sodium-glucose co-transporter type 2 inhibitors are also emphasized. The experiences of other medical specializations may provide new information on how to optimally replenish iron in patients with HF and ID.

Policy-Driven Post-Acute Care Program Lowers Mortality Rate and Medical Expenditures After Hospitalization for Acute Heart Failure: A Nationwide Propensity Score-Matched Study

OBJECTIVE

The beneficial effects of multidisciplinary disease management programs have been demonstrated. The present study investigated the effects of a policy-driven, health insurance-reimbursed, heart failure (HF) post-acute care (PAC) program on mortality, health care service utilization, and readmission expenses for patients following hospitalization for HF.

DESIGN

This was a retrospective propensity score-matched cohort study using the Taiwan National Health Insurance Research Database.

SETTING AND PARTICIPANTS

In total, 4346 patients (2173 receiving HF-PAC and 2173 controls) with left ventricular ejection fraction of ≤40% who were discharged following hospitalization for HF were included for analysis.

METHODS

All patients were followed up after discharge for all-cause mortality, emergency visits within 30 days, and length of stay and medical expenses for readmission within 180 days after discharge.

RESULTS

After propensity score matching, baseline characteristics of the HF-PAC and control groups were similar. During a mean follow-up period of 1.59 ± 0.92 years, according to the Cox multivariable analysis, HF-PAC reduced mortality by 48% compared with the control group, independent of traditional risk factors (hazard ratio = 0.520, 95% CI = 0.452-0.597, P < .001). Kaplan-Meier curves revealed that HF-PAC was associated with a higher cumulative survival rate (log-rank = 96.43, P < .001). HF-PAC also decreased the frequency of emergency visits after discharge by 23% in the 30 days post discharge and decreased length of stay and medical expenses related to readmission by 61% and 63%, respectively, in the 180 days post discharge (all P < .001).

CONCLUSIONS AND IMPLICATIONS

HF-PAC reduces short-term all-cause emergency visits, length of stay, and medical expenses for all-cause readmission and all-cause mortality in patients discharged following hospitalization for HF. Our findings suggest that PAC should include care continuity, optimal adaptation of transitional care components, and HF cardiologist engagement with multidisciplinary coordination.

Challenges and opportunities for increasing patient involvement in heart failure self-care programs and self-care in the post-hospital discharge period

BACKGROUND

People living with heart failure (HF) are particularly vulnerable after hospital discharge. An alliance between patient authors, clinicians, industry, and co-developers of HF programs can represent an effective way to address the unique concerns and obstacles people living with HF face during this period. The aim of this narrative review article is to discuss challenges and opportunities of this approach, with the goal of improving participation and clinical outcomes of people living with HF.

METHODS

This article was co-authored by people living with HF, heart transplant recipients, patient advocacy representatives, cardiologists with expertise in HF care, and industry representatives specializing in patient engagement and cardiovascular medicine, and reviews opportunities and challenges for people living with HF in the post-hospital discharge period to be more integrally involved in their care. A literature search was conducted, and the authors collaborated through two virtual roundtables and via email to develop the content for this review article.

RESULTS

Numerous transitional-care programs exist to ease the transition from the hospital to the home and to provide needed education and support for people living with HF, to avoid rehospitalizations and other adverse outcomes. However, many programs have limitations and do not integrally involve patients in the design and co-development of the intervention. There are thus opportunities for improvement. This can enable patients to better care for themselves with less of the worry and fear that typically accompany the transition from the hospital. We discuss the importance of including people living with HF in the development of such programs and offer suggestions for strategies that can help achieve these goals. An underlying theme of the literature reviewed is that education and engagement of people living with HF after hospitalization are critical. However, while clinical trial evidence on existing approaches to transitions in HF care indicates numerous benefits, such approaches also have limitations.

CONCLUSION

Numerous challenges continue to affect people living with HF in the post-hospital discharge period. Strategies that involve patients are needed, and should be encouraged, to optimally address these challenges.

Prognostic factors of readmission and mortality after first heart failure hospitalization: results from EPICAL2 cohort

AIMS

We aimed to identify prognostic individual factors in patients with first acute heart failure (HF) hospitalization, considering both death and readmission as part of the natural history of HF.

METHODS AND RESULTS

We used data from the observational, prospective, multicentre EPICAL2 cohort study from which we selected incident cases of acute HF alive at discharge. We relied on an illness-death model to identify prognostic factors on first readmission and on mortality before and after readmission. In 451 patients hospitalized for first acute HF, we observed within the year after discharge, 23 (5.1%) deaths before readmission and 270 (59.9%) first readmissions, of which 60 (22.2%) were followed by death of any cause. First, among patient characteristics, only Charlson index ≥ 8 was associated with first readmission [adjusted hazard ratio (aHR) = 1.6, 95% confidence interval (CI) (1.1-2.3), P = 0.011]. Second, Charlson index ≥ 8 [aHR = 4.2, 95% CI (1.2-14.8), P = 0.025], low blood pressure (BP) [aHR = 12.2, 95% CI (1.9-79.6), P = 0.009], high BP [aHR = 6.9, 95% CI (1.3-36.4), P = 0.023], and prescription of recommended dual or triple HF therapy at index discharge [aHR = 0.2, 95% CI (0.1-0.7), P = 0.014] were associated with mortality before any readmission. Third, Charlson index ≥ 8 [aHR = 2.4, 95% CI (1.1-5.6), P = 0.037] and the time to first readmission (per 30 days additional) [aHR = 1.2; 95% CI (1.1-1.4), P = 0.007] were associated with mortality after readmission.

CONCLUSIONS

Regardless of the prognostic state considered, we showed that comorbidities are of critical prognostic value in a real-world cohort of incident HF cases. This argues in favour of multidisciplinary care in HF.

One-year rehospitalisation and mortality after acute heart failure hospitalisation: a competing risk analysis

OBJECTIVE

To identify factors that independently predict the risk of rehospitalisation and death after acute heart failure (AHF) hospital discharge in a real-world setting, considering death without rehospitalisation as a competing event.

METHODS

Single-centre, retrospective, observational study enrolling 394 patients discharged from an index AHF hospitalisation. Overall survival was evaluated using Kaplan-Meier and Cox regression models. For the risk of rehospitalisation, survival analysis considering competing risks was performed: rehospitalisation was the event of interest, and death without rehospitalisation was the competing event.

RESULTS

During the first year after discharge, 131 (33.3%) patients were rehospitalised for AHF and 67 (17.0%) died without being readmitted; the remaining 196 patients (49.7%) lived without further hospitalisations. The 1-year overall survival estimate was 0.71 (SE=0.02). After adjusting for gender, age and left ventricle ejection fraction, the results showed that the risk of death was higher in patients with dementia, higher levels of plasma creatinine (PCr), lower levels of platelet distribution width (PDW) and at Q4 of red cell distribution width (RDW). Multivariable models showed that the risk of rehospitalisation was increased in patients with atrial fibrillation, higher PCr or taking beta-blockers at discharge. Furthermore, the risk of death without AHF rehospitalisation was higher in males, those aged ≥80 years, patients with dementia or RDW at Q4 on admission (compared with Q1). Taking beta-blockers at discharge and having a higher PDW on admission reduced the risk of death without rehospitalisation.

CONCLUSION

When assessing rehospitalisation as a study endpoint, death without rehospitalisation should be considered a competing event in the analyses. Data from this study reveal that patients with atrial fibrillation, renal dysfunction or taking beta-blockers are more likely to be rehospitalised for AHF, while older men with dementia or high RDW are more prone to die without hospital readmission.

Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients - An observational study

Background

After a heart failure (HF) hospital discharge, the risk of a cardiovascular (CV) related event is highest in the following 100 days. It is important to identify factors associated with increased risk of readmission.

Method

This retrospective, population-based study examined HF patients in Region Halland (RH), Sweden, hospitalized with a HF diagnosis between 2017 and 2019. Data regarding patient clinical characteristics were retrieved from the Regional healthcare Information Platform from admission until 100 days post-discharge. Primary outcome was readmission due to a CV related event within 100 days.

Results

There were 5029 included patients being admitted for HF and discharged and 1966 (39%) were newly diagnosed. Echocardiography was available for 3034 (60%) patients and 1644 (33%) had their first echocardiography while admitted. The distribution of HF-phenotypes was 33% HF with reduced ejection fraction (EF), 29% HF with mildly reduced EF and 38% HF with preserved EF. Within 100 days, 1586 (33%) patients were readmitted, and 614 (12%) died. A Cox regression model showed that advanced age, longer hospital length of stay, renal impairment, high heart rate and elevated NT-proBNP were associated with an increased risk of readmission regardless of HF-phenotype. Women and increased blood pressure are associated with a reduced risk of readmission.

Conclusions

One third had a CV-readmission within 100 days. This study found clinical factors already present at discharge that are associated with increased risk of readmission which should be considered at discharge.

Real-Life Data on Readmissions of Worsening Heart Failure Outpatients in a Heart Failure Clinic

Introduction Recurrent hospitalizations for worsening heart failure (WHF) represent a major global public health concern, resulting in significant individual morbimortality and socioeconomic costs. This real-life study aimed to determine the rate and predictors of readmission for WHF in a cohort of outpatients with chronic heart failure (CHF) followed in a heart failure clinic (HFC) at a university hospital. Methods We conducted a longitudinal, observational, and retrospective study of all consecutive CHF patients seen at the HFC of the São Francisco Xavier Hospital, Lisbon, by a multidisciplinary team in 2019. The patients were followed for one year and were on optimized therapy. The inclusion criteria for the study were patients who had been hospitalized and subsequently discharged at least three months prior to their enrollment. Patient demographics, heart failure (HF) characterization, comorbidities, pharmacological treatment, treatments of decompensated HF in the day hospital (DH), hospitalizations for WHF, and death were recorded. We applied logistic regression analysis to assess predictors of hospital readmission for HF. Results A total of 351 patients were included: 90 patients (26%) had WHF requiring treatment with intravenous diuretics in the DH; 45 patients (mean age: 79.1 ± 9.0 years) were readmitted for decompensated HF within one year (12.8%) with no gender difference, while 87.2% of the patients (mean age: 74.9 ± 12.1 years) were never readmitted. Readmitted patients were significantly older than those who were not (p=0.031). Additionally, they had a higher New York Heart Association (NYHA) functional classification (p<.001), were on a higher daily dose of furosemide (p=0.008) at the time of the inclusion visit, were more frequently affected by the chronic obstructive pulmonary disease (COPD) (p=0.004); had been treated more often in the DH for WHF (p<.001) and had a higher mortality rate (p<.001) at one year. Conclusions This study aimed to determine WHF patient readmission rates and predictors. According to our results, a higher NYHA class, the need for treatment in the DH for WHF, a daily dose of furosemide equal to or greater than 80 mg, and COPD were predictors of readmission for WHF. CHF patients continue to experience WHF and recurrent hospitalizations despite therapeutic advances and close follow-up in the HFC with the multidisciplinary team. Besides COPD, the HF readmission risk factors found were mainly related to advanced disease. Furthermore, the structured and multidisciplinary approach of our disease management program likely contributed to our relatively low rate of readmissions.

Cost-utility analysis of empagliflozin in heart failure patients with reduced and preserved ejection fraction in China

Objective: EMPEROR-Reduced and EMPEROR-Preserved studies showed the benefits of empagliflozin along with a reduction in cardiovascular death or hospitalisation for heart failure (HF). Our aim was to evaluate the economics and effectiveness of adding empagliflozin to the standard therapy for HF with reduced ejection fraction (HFrEF) and HF preserved ejection fraction (HFpEF) in China. Methods: A multistate Markov model was constructed to yield the clinical and economic outcomes of adding empagliflozin to the standard therapy for 65-year-old patients with HFrEF and HFpEF. A cost-utility analysis was conducted, mostly derived from the EMPEROR-Reduced study, EMPEROR-Preserved study, and national statistical database. All costs and outcomes were discounted at the rate of 5% per annum. The primary outcomes were total and incremental costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). Sensitivity analyses were also performed. Results: In the HFrEF population, the 10-year incremental cost was $827.52 and the 10-year incremental QALY was 0.15 QALYs, resulting in an ICER of $5,612.06/QALY, which was below the WTP of $12,652.5/QALY. In the HFpEF population, compared with the control group, the incremental cost was $1,271.27, and the incremental QALY was 0.11 QALYs, yielding an ICER of 11,312.65 $/QALY, which was also below the WTP of $12,652.5/QALY. In the HFrEF and HFpEF populations, the results of a one-way sensitivity analysis showed that the risk of cardiovascular death in both groups was the most influential parameter. In the HFrEF population, a probability sensitivity analysis (PSA) revealed that when the WTP thresholds were $12,652.5/QALY and $37,957.5/QALY, the probabilities of being cost-effective with empagliflozin as an add-on were 59.4% and 72.6%, respectively. In the HFpEF population, the PSA results revealed that the probabilities of being cost-effective with empagliflozin as an add-on were 53.1% and 72.2%, respectively. Conclusion: Considering that the WTP threshold was $12,652.5/QALY, adding empagliflozin to standard therapy was proven to be a slightly more cost-effective option for the treatment of HFrEF and HFpEF from a Chinese healthcare system perspective, which promoted the rational use of empagliflozin for HF.

Twenty-year trends in heart failure among U.S. adults, 1999-2018: The growing impact of obesity and diabetes

BACKGROUND

The aim of this study is to evaluate trends in heart failure (HF) prevalence, impact of accompanying risk factors and use of effective therapeutic regimens during the last two decades in the general adult US population.

METHODS

We analyzed data obtained from the 1999-2018 cycles of the National Health and Nutrition Examination Survey (NHANES). Among a total of 34,403 participants 40 years or older who attended the mobile examination center visit, 1690 reported a diagnosis of HF. Trends in participant features across calendar periods were assessed by linear regression for continuous variables and logistic regression for binary variables.

RESULTS

Prevalence of self-reported HF did not change significantly from 1999 to 2002 to 2015-2018 (~3.5%), while obesity and diabetes showed a progressive increase in prevalence, affecting ~65% and ~ 45% of patients with HF in the most recent calendar period, respectively. In parallel, use of glucose lowering drugs (especially metformin and insulin) as well as statins increased from 1999 to 2010, with significant improvement of the lipid control. A modest improvement in blood pressure control was achieved in association with a significant increase in the use of angiotensin receptor blockers and beta-blockers.

CONCLUSIONS

In the last 20 years, the prevalence of HF in US adults remained stable, while both obesity and diabetes increased, with the two conditions affecting half of patients with HF. Improvements in the control of dyslipidemia and, to a lesser extent, blood pressure, was detected; nonetheless, a significant gap remains in guideline-directed use of HF and diabetes medications.

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

BACKGROUND

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

AIMS

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

METHODS

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

RESULTS

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

CONCLUSION

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

Cost-Utility Analysis of Combination Empagliflozin and Standard Treatment Versus Standard Treatment Alone in Thai Heart Failure Patients with Reduced or Preserved Ejection Fraction

BACKGROUND

Clinical trials reported the benefit of empagliflozin when combined with standard treatment relative to cardiovascular death or heart failure (HF) hospitalization in patients with heart failure with reduced or preserved ejection fraction (HFrEF and HFpEF, respectively). We conducted a cost-utility analysis of combination empagliflozin and standard treatment (ST) versus ST alone in Thai HF patients with HFrEF or HFpEF.

METHODS

A Markov model was employed to capture lifetime direct medical costs and outcomes from a healthcare system perspective. Two cohorts (HFrEF and HFpEF) with an average age of 60 years were enrolled. The clinical inputs were the results of the EMPEROR-Reduced and EMPEROR-Preserved studies, and a Thai database. Costs were gathered from published studies or from a Thai hospital database. Utilities were obtained from published studies. All costs and outcomes were discounted at a rate of 3% per annum. Incremental cost-effectiveness ratios (ICERs) were estimated, and sensitivity analyses were performed.

RESULTS

In patients with HFrEF, add-on empagliflozin yielded a life-year gain of 0.26, and a quality-adjusted life-year (QALY) gain of 0.20 at an increased total cost of 409.82 USD compared to ST alone [ICER: 69,218 THB/QALY (2064.98 USD/QALY gained)]. Among HFpEF patients, add-on empagliflozin yielded a life-year gain of 0.07, and a QALY gain of 0.05 at an increased total cost of 622.49 USD compared to ST alone [ICER: 395,826 THB/QALY (11,809 USD/QALY gained)].

CONCLUSIONS

At the local Thai threshold of 4773.27 USD/QALY, empagliflozin is a cost-effective add-on treatment for patients with HFrEF, but not for patients with HFpEF.

The Palliative Approach and Terminal Heart Failure Admissions - Are We Getting it Right?

BACKGROUND

Chronic heart failure has a high mortality and early provision of palliative care supports complex decision-making and improves quality of life.

AIM

To explore whether and when a palliative approach was adopted during the last 12 months of life in patients who experienced an in-hospital death from heart failure.

DESIGN

Retrospective medical record review of all deaths from chronic heart failure (January 2010 to December 2019).

PARTICIPANTS

Admissions with chronic heart failure resulting in death were analysed from an Australian tertiary referral centre.

RESULTS

The cohort (n=517) were elderly (median age 83.8 years IQR=77.6-88.7) and male (55.1%). Common comorbidities were ischaemic heart disease (n=293 56.7%) and atrial fibrillation (n=289 55.9%). Life sustaining interventions occurred in 97 (18.8%) patients. In 31 (6.0%) patients referral to specialist palliative care occurred prior to, and in 263 (50.9%) during, the terminal admission. Opioids were prescribed to 440 (85.1%) patients. Comfort care was the documented goal in 158 patients (30.6%). A palliative approach was significantly associated with prior admission in the preceding 12 months (OR=1.5 95% CI=1.0-2.1 p<0.043), receiving outpatient care (OR=2.6 95% CI=1.6-4.1 p<0.01), and admissions in the latter half of the decade (OR=1.5 95% CI=1.0-2.0 p<0.038).

CONCLUSION

Despite greater adoption of a palliative approach in the terminal admission over the last decade, a significant proportion of patients receive palliative care late, just prior to death.

Development of Core Educational Content for Heart Failure Patients in Transition from Hospital to Home Care: A Delphi Study

Heart failure (HF) patients should be systematically educated before discharge on how to manage with standard written materials for patient self-management. However, because of the absence of readily available written materials to reinforce their learned knowledge, patients with HF feel inadequately informed in terms of the discharge information provided to them. This study aimed to develop core content to prepare patients with HF for transition from hospital to home care. The content was validated by expert panelists using Delphi methods. Nineteen draft items based on literature review were developed. We established a consensus on four core sections, including 47 categories and 128 subcategories through the Delphi survey: (1) understanding HF (five categories and 23 subcategories), (2) HF medication (19 categories and 45 subcategories), (3) HF management (20 categories and 47 subcategories), and (4) HF diary (three categories and 13 subcategories). Each section provided easy-to-understand educational contents using cartoon images and large or bold letters for older patients with HF. The developed core HF educational contents showed high consensus between the experts, along with clinical validity. The contents can be used as an educational booklet for both planning discharge education of patients with HF and for post-discharge management when transitioning from hospital to home. Based on this study, a booklet series for HF patients was first registered at the National Library of Korea. Future research should focus on delivering the core content to patients with HF in convenient and accessible format through various media.

Burden of hospitalizations in newly diagnosed heart failure patients in Poland: real world population based study in years 2013-2019

Aims

We aim to report trends in unplanned hospitalizations among newly diagnosed heart failure patients with regard to hospitalizations types and their impact on outcomes.

Methods and results

A nation‐wide study of all citizens in Poland with newly diagnosed heart failure based on ICD‐10 coding who were beneficiaries of either public primary, secondary, or hospital care between 2013 and 2018 in Poland. Between 1 January 2013 and 31 December 2019, there were 1 124 118 newly diagnosed heart failure patients in Poland in both out‐ and inpatient settings. The median observation time was 946 days. As many as 49% experienced at least one acute heart failure hospitalization. Once hospitalized, 44.6% patients experienced at least one all‐cause rehospitalization and 26% another heart failure rehospitalization. The latter had the highest Charlson co‐morbidity index (1.36). The 30 day heart failure readmission rate was 2.96%. Kaplan–Meier analysis revealed very early readmissions (up to 1–7 days) were associated with better survival compared with rehospitalization between 8 and 30 days. All‐cause mortality was related to the number of hospitalization with adjusted estimated hazard ratios: 1.550 (95% CI: 1.52–158) for the second HF hospitalization, 2.158 (95% CI: 2.098–2.219) for third, and 2.788 (95% CI: 2.67–2.91) for the fourth HF hospitalization and subsequent ones, as compared with the first hospitalization.

Conclusions

Among newly diagnosed heart failure patients in Poland between 2013 and 2019, nearly half required at least one unplanned heart failure hospitalization. The risk of death was growing with every other hospital reoccurrence due to heart failure.

Predictors of readmission in hospitalized heart failure patients

Introduction: Heart failure(HF) related hospitalization constitutes a significant proportion of healthcare cost. Unchanging rates of readmission during recent years, shows the importance of addressing this problem. Methods: Patients admitted with heart failure diagnosis in our institution during April 2018to August 2018 were selected. Clinical, para-clinical and imaging data were recorded. All included patients were followed up for 6 months. The primary endpoints of the study were prevalence of early readmission and the predictors of that. Secondary end points were in-hospital and 6-month post-discharge mortality rate and late readmission rate. Results: After excluding 94 patients due to missing data, 428 patients were selected. Mean age of patients was 58.5 years (±17.4) and 61% of patients were male. During follow-up, 99patients (24%) were readmitted. Early re-admission (30-day) occurred in 27 of the patients(6.6%). The predictors of readmission were older age ( P=0.006), lower LVEF (P <0.0001), higher body weight (P=0.01), ICD/CRT implantation ( P=0.001), Lower sodium ( P=0.01), higher Pro-BNP(P=0.01), Higher WBC count (P=0.01) and higher BUN level (P=0.02). Independent predictors of early readmission were history of device implantation (P=0.007), lower LVEF (P=0.016), QRS duration more than 120 ms (P=0.037), higher levels of BUN (P=0.008), higher levels of Pro-BNP(P=0.037) and higher levels of uric acid (P=0.035). Secondary end points including in-hospital and 6-month post-discharge mortality occurred in 11% and 14.4% of patients respectively. Conclusion: Lower age of our heart failure patients and high prevalence of ischemic cardiomyopathy, necessitate focusing on more preventable factors related to heart failure.

Ischemic Cardiomyopathy versus Non-Ischemic Dilated Cardiomyopathy in Patients with Reduced Ejection Fraction- Clinical Characteristics and Prognosis Depending on Heart Failure Etiology (Data from European Society of Cardiology Heart Failure Registries)

Personalized management involving heart failure (HF) etiology is crucial for better prognoses for HF patients. This study aimed to compare patients with ischemic cardiomyopathy (ICM) and patients with non-ischemic dilated cardiomyopathy (NIDCM) in terms of baseline characteristics and prognosis. We assessed 895 patients with HF with reduced left ventricular ejection fraction participating in the Polish part of the European Society of Cardiology (ESC)-HF registries. ICM was present in 583 patients (65%), NIDCM in 312 patients (35%). The ICM patients were older (p < 0.001) and had more comorbidities. The NIDCM patients more frequently had atrial fibrillation (p = 0.04) and lower LVEF (p = 0.01); therefore, they were treated more often with anticoagulants (p = 0.01) and digitalis (p < 0.001). The NIDCM patients were prescribed aldosterone antagonists more often (p = 0.01). There were no other differences as regards the use of HF guideline-recommended medications, implantable cardioverter defibrillators or cardiac resynchronization therapy. The ICM patients were more likely to be treated with statins (p < 0.001) and antiplatelet agents (p < 0.001). All-cause death, as well as all-cause death and readmissions for HF at 12 months, occurred more often in the ICM group compared with the NIDCM group (15.9% vs. 10%, p = 0.016; and 40.9% vs. 28.6%, p = 0.00089, respectively). ICM etiology was an independent predictor of the composite endpoint in the total cohort (p = 0.003). The ICM patients were older and had more comorbidities, whereas the NIDCM patients had lower LVEF. One-year prognosis was worse in the ICM patients than in the NIDCM patients. ICM etiology was independently associated with a worse one-year outcome.

Triglyceride Glucose Index Was a Predictor of 6-Month Readmission Caused by Pulmonary Infection of Heart Failure Patients

OBJECTIVES

Insulin resistance is associated with the prognosis of heart failure (HF) patients. The triglyceride glucose (TyG) index is a simple marker of insulin resistance. However, it remains unclear whether the TyG index is associated with the incidence of readmission in patients with HF.

METHODS

We enrolled 901 patients with completed records on serum triglyceride and glucose in our study. The TyG index was calculated as log (fasting triglycerides (mg/dL) x fasting glucose (mg/dL)/2). There were 310 cases of readmission and the average TyG index was 7.8 ± 0.7. Restricted cubic spline was fitted to explore the linearity of TyG index associating with 6-month readmission of HF patients. Logistic regression analysis was performed to explore the association between TyG index quartile and the incidence of 6-month readmission.

RESULTS

Only the 6-month readmission was significantly different among TyG quartiles, and it was the highest (41.9%) in the lowest quartile (ranging 6.17∼7.36). the TyG index was nonlinearly associated with 6-month readmission (p for nonlinearity = 0.009), with the lower level of TyG index increasing the risk of 6-month readmission. Besides, multivariable logistic analysis showed that the lowest TyG quartile was associated with a higher incidence of 6-month readmission in the unadjusted model (odds ratio [OR] 1.74, 95% confidence interval [CI] 1.18-2.57; p=0.005), partially adjusted model (OR 1.82, 95%CI 1.22-2.72; p=0.004), and fully-adjusted model (OR 1.65, 95%CI 1.09-2.45; p=0.024). The association was consistent across gender and diabetes group.

CONCLUSION

A lower TyG index independently increased the risk of 6-month readmission in HF patients, which could be a prognostic factor in heart failure.

The prognostic value of right ventricular longitudinal strain and 3D ejection fraction in patients with dilated cardiomyopathy

Several studies showed that right ventricular (RV) dysfunction is a powerful predictor in heart failure (HF). Advanced echocardiographic techniques such as speckle-tracking imaging and three-dimensional (3D) echocardiography proved to be accurate tools for RV assessment, but their clinical significance remains to be clarified. The aim of this study was to evaluate the role of two-dimensional (2D) RV strain and 3D ejection fraction (RVEF) in predicting adverse outcome in patients with non-ischemic dilated cardiomyopathy (DCM). We prospectively screened 81 patients with DCM and sinus rhythm, 50 of whom were enrolled and underwent comprehensive echocardiography, including RV strain and 3D RV volumetric assessment. Patients were followed for a composite endpoint of cardiac death, nonfatal cardiac arrest and acute worsening of HF requiring hospitalization. After a median follow-up of 16 months, 29 patients reached the primary endpoint. Patients with events had more impaired RV global longitudinal strain (− 10.5 ± 4.5% vs. − 14.3 ± 5.2%, p = 0.009), RV free wall longitudinal strain (− 12.9 ± 8.7% vs. − 17.5 ± 7.1%, p = 0.046) and 3D RVEF (38 ± 8% vs. 47 ± 9%, p = 0.001). By Cox proportional hazards multivariable analysis, RV global longitudinal strain and RVEF were independent predictors of outcome after adjustment for age and NYHA class. RVEF remained the only independent predictor of events after further correction for echocardiographic risk factors. By receiver-operating characteristic analysis, the optimal RVEF cut-off value for event prediction was 43.4% (area under the curve = 0.768, p = 0.001). Subjects with RVEF > 43.4% showed more favourable outcome compared to those with RVEF < 43.4% (log-rank test, p < 0.001). In conclusion, 3D RVEF is an independent predictor of major adverse cardiovascular events in patients with DCM.

Hospital readmissions of patients with heart failure from real world: timing and associated risk factors

AIMS

This study aims to investigate hospital readmissions and timing, as well as risk factors in a real world heart failure (HF) population.

METHODS AND RESULTS

All patients discharged alive in 2016 from Sahlgrenska University Hospital/Östra, Gothenburg, Sweden, with a primary diagnosis of HF were consecutively included. Patient characteristics, type of HF, treatment, and follow-up were registered. Time to first all-cause or HF readmission, as well as number of 1 year readmissions from discharge were recorded. In total, 448 patients were included: 273 patients (mean age 78 ± 11.8 years) were readmitted for any cause within 1 year (readmission rate of 60.9%), and 175 patients (mean age 76.6 ± 13.7) were never readmitted. Among readmissions, 60.1% occurred during the first quarter after index hospitalization, giving a 3 month all-cause readmission rate of 36.6%. HF-related 1 year readmission rate was 38.4%. Patients who were readmitted had significantly more renal dysfunction (52.4% vs. 36.6%, P = 0.001), pulmonary disease (25.6% vs. 15.4%, P = 0.010), and psychiatric illness (24.9% vs. 12.0%, P = 0.001). Number of co-morbidities and readmissions were significantly associated (P < 0.001 for all cause readmission rate and P = 0.012 for 1 year HF readmission rate). Worsening HF constituted 63% of all-cause readmissions. Psychiatric disease was an independent risk factor for 1 month and 1 year all-cause readmissions. Poor compliance to medication was an independent risk factor for 1 month and 1 year HF readmission.

CONCLUSIONS

In our real world cohort of HF patients, frequent hospital readmissions occurred in the early post-discharge period and were mainly driven by worsening HF. Co-morbidity was one of the most important factors for readmission.