OBJECTIVE: Previous studies showed that long-term use of proton pump inhibitors (PPIs) was associated with cardiovascular events. However, the impact of short-term PPI exposure on intensive care unit (ICU) patients with myocardial infarction (MI) remains largely unknown. This study aims to determine the precise correlation between short-term PPI usage during hospitalization and prognostic outcomes of ICU-admitted MI patients using Medical Information Mart for Intensive Care IV database (MIMIC-IV).
METHODS: Propensity score matching (PSM) was applied to adjust confounding factors. The primary study outcome was rehospitalization with mortality and length of stay as secondary outcomes. Binary logistic, multivariable Cox, and linear regression analyses were employed to estimate the impact of short-term PPI exposure on ICU-admitted MI patients.
RESULTS: A total of 7249 patients were included, involving 3628 PPI users and 3621 non-PPI users. After PSM, 2687 pairs of patients were matched. The results demonstrated a significant association between PPI exposure and increased risk of rehospitalization for MI in both univariate and multivariate [odds ratio (OR) = 1.157, 95% confidence interval (CI) 1.020-1.313] analyses through logistic regression after PSM. Furthermore, this risk was also observed in patients using PPIs > 7 days, despite decreased risk of all-cause mortality among these patients. It was also found that pantoprazole increased the risk of rehospitalization, whereas omeprazole did not.
CONCLUSIONS: Short-term PPI usage during hospitalization was still associated with higher risk of rehospitalization for MI in ICU-admitted MI patients. Furthermore, omeprazole might be superior to pantoprazole regarding the risk of rehospitalization in ICU-admitted MI patients.

OBJECTIVE: Percutaneous left atrial appendage closure (LAAC) has emerged as a nonpharmacological alternative for thromboembolic event prevention in patients with nonvalvular atrial fibrillation. However, there are few data on readmissions after LACC. The aim of this study was to determine the rate of early (≤ 30 days) and late (31-365 days) readmission after LAAC, and to assess the predictors and clinical impact of rehospitalization.
METHODS: This multicenter study included 1419 consecutive patients who underwent LAAC. The median follow-up was 33 [17-55] months, and follow-up was complete in all but 54 (3.8%) patients. The primary endpoint was readmissions for any cause. Logistic regression and Cox regression analysis were performed to determine the predictors of readmission and its clinical impact.
RESULTS: A total of 257 (18.1%) patients were readmitted within the first year after LAAC (3.2% early, 14.9% late). The most common causes of readmission were bleeding (24.5%) and heart failure (20.6%). A previous gastrointestinal bleeding event was associated with a higher risk of early readmission (OR, 2.65; 95%CI, 1.23-5.71). The factors associated with a higher risk of late readmission were a lower body mass index (HR, 0.96-95%CI, 0.93-0.99), diabetes (HR, 1.38-95%CI, 1.02-1.86), chronic kidney disease (HR, 1.60; 95%CI, 1.21-2.13), and previous heart failure (HR, 1.69; 95%CI, 1.26-2.27). Both early (HR, 2.12-95%CI, 1.22-3.70) and late (HR, 1.75; 95%CI, 1.41-2.17) readmissions were associated with a higher risk of 2-year mortality.
CONCLUSIONS: Readmissions within the first year after LAAC (primary endpoint) were common (18.1%), were mainly related to bleeding and heart failure events, and were associated with the patients\' comorbidity burden. Readmission after LAAC confers a higher risk of mortality during the first 2 years after the procedure.

UNASSIGNED: The postacute heart failure (AHF) rehospitalization rate is attributed to persistent hemodynamic congestion despite clinical improvement. Peak atrial longitudinal strain (PALS), utilizing speckle tracking echocardiography technology, shows potential in post-AHF prognosis. Meanwhile, N-terminal pro-hormone brain natriuretic peptide (NT-proBNP) remains a known biomarker of intracardiac congestion.
UNASSIGNED: This study aimed to determine the relationship between predischarge PALS and NT-proBNP as predictors of major adverse cardiac event (MACE) in patients after AHF hospitalization.
UNASSIGNED: This study is a prospective cohort study, conducted in Prof. Dr. I G.N.G Ngoerah Hospital, Bali, Indonesia.
UNASSIGNED: The study included hospitalized AHF patients, collecting demographic data, comorbidities, therapies, and echocardiographic measures before discharge. Predischarge PALS and NT-proBNP were taken within 24 h before discharge. The main outcome was MACE, defined as rehospitalization and cardiovascular mortality within 90 days.
UNASSIGNED: Comparative statistical analyses was done using independent t-test for continuous variables (Mann-Whitney U test for variables with abnormal distribution) and Chi-squared tests. Receiver operating characteristic (ROC) used in determining optimal threshold values of predischarge PALS and NT-proBNP as a predictor of MACE. Kaplan-Meier curves were employed to gauge event-free survival differences between these cohorts. Then, independent Cox regression was used to identify the predictors of MACE.
UNASSIGNED: The study enrolled 67 patients with varying ejection fraction (EF) (16 - heart failure with preserved ejection fraction, 10 - heart failure with mildly reduced ejection fraction, and 41 - heart failure with reduced ejection fraction; mean age: 56.88 ± 14.57 years). Over the 90-day follow-up, 21 patients (31.3%) encountered MACE. Both PALS (area under the curve [AUC] 0.816) and NT-proBNP (AUC 0.856) before discharge served as predictors of MACE. There was no significant AUC difference between ROC curves (area difference: 0.039, P = 0.553). The regression model highlighted that PALS and NT-proBNP level before discharge acted as independent predictors of MACE, irrespective of EF, average E/e\', or estimated predischarge pulmonary capillary wedge pressure.
UNASSIGNED: Predischarge PALS is comparable to NT-proBNP levels as independent predictors of short-term MACE after AHF hospitalization.

UNASSIGNED: Type 2 diabetes mellitus (T2DM) is a leading cause of chronic kidney disease (CKD) globally. Both conditions substantially worsen patients\' prognosis. Current data on German in-hospital CKD cohorts are scarce. The multinational CaReMe study was initiated to evaluate the current epidemiology and healthcare burden of cardiovascular, renal and metabolic diseases. In this substudy, we share real-world data on CKD inpatients stratified for coexisting T2DM derived from a large German hospital network.
UNASSIGNED: This study used administrative data of inpatient cases from 89 Helios hospitals from 01/01/2016 to 28/02/2022. Data were extracted from ICD-10-encoded discharge diagnoses and OPS-encoded procedures. The first case meeting a previously developed CKD definition (defined by ICD-10- and OPS-codes) was considered the index case for a particular patient. Subsequent hospitalizations were analysed for readmission statistics. Patient characteristics and pre-defined endpoints were stratified for T2DM at index case.
UNASSIGNED: In total, 48,011 patients with CKD were included in the present analysis (mean age ± standard deviation, 73.8 ± 13.1 years; female, 44%) of whom 47.9% had co-existing T2DM. Patients with T2DM were older (75 ± 10.6 vs 72.7 ± 14.9 years, p < 0.001), but gender distribution was similar to patients without T2DM. The burden of cardiovascular disease was increased in patients with T2DM, and index and follow-up in-hospital mortality rates were higher. Non-T2DM patients were characterised by more advanced CKD at baseline. Patients with T2DM had consistently higher readmission numbers for all events of interest, except for readmissions due to kidney failure/dialysis, which were more common in non-T2DM patients.
UNASSIGNED: In this study, we present recent data on hospitalized patients with CKD in Germany. In this CKD cohort, nearly half had T2DM, which substantially affected cardiovascular disease burden, rehospitalization frequency and mortality. Interestingly, non-diabetic patients had more advanced underlying renal disease, which affected renal outcomes.

Currently, exchange of information between the geriatric clinic and the attending general practitioner (GP) occurs primarily through the doctor\'s letter after discharging from the clinic. The aim of our study was to reduce readmissions of multimorbid, geriatric patients to the clinic by establishing a new form of care via an electronic case file (ECF) and a consultation service (CS). The discharging geriatric clinic filled out an online ECF. The patient\'s GP should document quarterly follow-ups in the ECF. The case file was monitored by the discharging clinic due to a consultation service. The primary efficacy endpoint was the rehospitalization rate within one year. The hospitalization rate for patients managed in the project was 83.1/100 person years (PY), while the control group from insurance data had a rate of 69.0/100 PY. The primary endpoint did not show a statistically significant difference (p = 0.15). A total of 195 contacts were documented via CS for 171 participants, mostly initiated by the clinics. The clinical queries primarily concerned drug therapy. The Covid pandemic had an overall impact on hospitalizations. There are many approaches to reducing hospital readmissions after discharge of older patients. Supporting the transition from inpatient to outpatient care by different professional groups or care systems has been shown to have a positive effect. Furthermore, the utilisation of an ECF can also be beneficial in this regard.

OBJECTIVE: The COVID-19 pandemic has had a substantial impact on the utilisation of hospital and emergency department (ED) services. We examined the effect of a rapid response service on hospital re-presentations among people discharged from the ED and short-stay wards at a tertiary referral hospital.
METHODS: This retrospective cohort study compared 112 patients who completed the Care in the Community program with 112 randomly selected controls. Both cases and controls were discharged from hospital between September 2020 and June 2021. Intervention patients were evaluated by a multidisciplinary team, who implemented a goal-directed program of up to 4-weeks duration. Logistic regression, negative binomial regression and Cox proportional hazards regression were used to evaluate outcomes at 28 days and at 6 months.
RESULTS: The median time between referral and the first home visit was 3.9 days. In adjusted analyses, the intervention reduced hospital re-presentations at 28 days (odds ratio: .40, 95% confidence interval (CI): .17-.94) and lengthened the time to the first hospital re-presentation (hazard ratio: .59, 95% CI: .38-.92). Although the intervention did not reduce the total number of hospital re-presentations at 6 months (adjusted incidence rate ratio: .73, 95% CI: .49-1.08), it reduced total time spent in hospital by 303 days (582 vs. 885).
CONCLUSIONS: This study is among the first to investigate the effect of a community-based intervention on hospital re-presentations during the COVID-19 pandemic. It provides evidence that a sustainable 4-week intervention is associated with reduced hospital re-presentations and time spent in hospital.

OBJECTIVE: Assessing the risk for HF rehospitalization is important for managing and treating patients with HF. To address this need, various risk prediction models have been developed. However, none of them used deep learning methods with real-world data. This study aimed to develop a deep learning-based prediction model for HF rehospitalization within 30, 90, and 365 days after acute HF (AHF) discharge.
RESULTS: We analysed the data of patients admitted due to AHF between January 2014 and January 2019 in a tertiary hospital. In performing deep learning-based predictive algorithms for HF rehospitalization, we use hyperbolic tangent activation layers followed by recurrent layers with gated recurrent units. To assess the readmission prediction, we used the AUC, precision, recall, specificity, and F1 measure. We applied the Shapley value to identify which features contributed to HF readmission. Twenty-two prognostic features exhibiting statistically significant associations with HF rehospitalization were identified, consisting of 6 time-independent and 16 time-dependent features. The AUC value shows moderate discrimination for predicting readmission within 30, 90, and 365 days of follow-up (FU) (AUC:0.63, 0.74, and 0.76, respectively). The features during the FU have a relatively higher contribution to HF rehospitalization than features from other time points.
CONCLUSIONS: Our deep learning-based model using real-world data could provide valid predictions of HF rehospitalization in 1 year follow-up. It can be easily utilized to guide appropriate interventions or care strategies for patients with HF. The closed monitoring and blood test in daily clinics are important for assessing the risk of HF rehospitalization.

OBJECTIVE: Despite advances in therapies, the disease burden of heart failure (HF) has been rising globally. International comparisons of HF management and outcomes may reveal care patterns that improve outcomes. Accordingly, we examined clinical management and patient outcomes in older adults hospitalized for acute HF in the United States (US) and Japan.
METHODS: We identified patients aged >65 who were hospitalized for HF in 2013 using US Medicare data and the Japanese Registry of Acute Decompensated Heart Failure (JROADHF). We described patient characteristics, management, and healthcare utilization and compared outcomes using multivariable Cox regression during and after HF hospitalization.
RESULTS: Among 11 193 Japanese and 120 289 US patients, age and sex distributions were similar, but US patients had higher comorbidity rates. The length of stay was longer in Japan (median 18 vs. 5 days). While Medicare patients had higher use of implantable cardioverter defibrillator or cardiac resynchronization therapy during hospitalization (1.32% vs. 0.6%), Japanese patients were more likely to receive cardiovascular medications at discharge and to undergo cardiac rehabilitation within 3 months of HF admission (31% vs. 1.6%). Physician follow-up within 30 days was higher in Japan (77% vs. 57%). Cardiovascular readmission, cardiovascular mortality and all-cause mortality were 2.1-3.7 times higher in the US patients. The per-day cost of hospitalization was lower in Japan ($516 vs. $1323).
CONCLUSIONS: We observed notable differences in the management, outcomes and costs of HF hospitalization between the US and Japan. Large differences in length of hospitalization, cardiac rehabilitation rate and outcomes warrant further research to determine the optimal length of stay and assess the benefits of inpatient cardiac rehabilitation to reduce rehospitalization and mortality.

Purpose: Acute heart failure (AHF) is associated with high morbidity and mortality, and the prognosis is particularly poor in older patients. Although the application of guideline-directed medical therapy (GDMT) has shown a positive impact on prognosis, the effects are less clear in older age groups. The aim of this study was to analyze real-world data regarding GDMT and outcomes in older HF patients. Methods: This is a prospective cohort study from a secondary care hospital in central Switzerland. A total of 97 consecutive patients aged ≥60 years were enrolled between January 2019 and 2022. The main outcome parameters were prescribed GDMT at discharge, and in case of rehospitalization, GDMT at readmission, and survival in terms of all-cause mortality and HF-related hospitalizations during a 3-year follow-up period. Results: Follow-up data were available for 93/97 patients. The mean age was 77.8 ± 9.8 years, 46% being female. The mean left ventricular ejection fraction (LVEF) was 35.3 ± 13.9%, with a mean BNP level of 2204.3 ± 239 ng/L. Upon discharge, 86% received beta-blockers and 76.3% received renin-angiotensin system (RAS) inhibitors. At rehospitalization for AHF, beta-blockers use was significantly lower and decreased to 52.8% (p = 0.003), whereas RAS inhibitor use increased slightly to 88.9% (p = 0.07), and SGLT-2 inhibitors showed a significant increase from 5.4% vs. 47.2% (p = 0.04). GDMT prescription was not dependent on LVEF. Overall, 73.1% of patients received two-stage or three-stage GDMT at discharge, whereas this percentage decreased to 61% at rehospitalization (p = 0.01). Kaplan-Meier analysis for the combined outcome rehospitalization and death stratified by LV function showed significant differences between LVEF groups (aHR: 0.6 [95% CI: 0.44 to 0.8]; p = 0.0023). Conclusions: Our results indicate that first, the majority of older AHF patients from a secondary care hospital in Switzerland were not on optimal GDMT at discharge and even fewer at readmission, and second, that prognosis of the population is still poor, with almost half of the patients having been rehospitalized or died during a 3-year follow-up period under real-world conditions, without significant difference between women and men. Our findings underline the need for further improvements in the medical treatment of AHF, in particular in older patients, to improve prognosis and to reduce the burden of disease.

BACKGROUND: This study aims to compare the addition of SGLT2 inhibitors or doubling the diuretic dose in patients receiving treatment with beta-blockers, angiotensin-converting enzyme inhibitors (ACEi), or angiotensin receptor blockers (ARB), as well as mineralocorticoid receptor antagonists (MRA), for heart failure with reduced ejection fraction (HFrEF) who present to the emergency department with decompensated heart failure.
METHODS: This study is a single-center and prospective analysis. A total of 980 decompensated heart failure (HFrEF) patients receiving optimal medical therapy (OMT) according to the 2021 European heart failure guidelines were randomized in a 2:1 ratio into the furosemide and empagliflozin treatment arms. The analysis includes patient clinical characteristics, laboratory results, and echocardiographic data. Factors influencing rehospitalization were identified through multivariate Cox regression analysis. Log-rank analysis was employed to assess factors affecting rehospitalization.
RESULTS: The mean age of the patients was 67.9 years, with 52.1% being men. There was no significant impact of demographic, clinical, or echocardiographic factors on rehospitalization at 1 month; only the effect of treatment subgroups on rehospitalization was observed (p = 0.039). Significant echocardiographic and clinical improvements were seen in both treatment arms. The empagliflozin group exhibited significant improvements in 6-min walk distance, heart rate, body weight, NT-pro BNP levels, and eGFR level compared to the furosemide group. The rate of rehospitalization in the first month was significantly lower in those receiving empagliflozin (28.7%) compared to those receiving a double dose of furosemide (40.2%) (log-rank p = 0.013).
CONCLUSIONS: This study provides valuable insights into the management of decompensated HFrEF and demonstrates that SGLT2 inhibitors offer benefits beyond glycemic control in this patient group. The significant reduction in rehospitalization rates and improvements in echocardiographic parameters underscore the potential of SGLT2 inhibitors in reducing acute heart failure episodes.