RESUMEN

BACKGROUND: High-sensitivity cardiac troponins (Hs-cTns) are reliable indicators of myocardial injury, but their relationship with cardiovascular outcomes remains less understood. This study explores the association between adverse cardiac events and Hs-cTnT levels exceeding 14 ng/L in patients with stable CAD. METHODS: Thirteen pertinent studies were identified using specific keywords from a pool of 208 articles retrieved from PubMed, Scopus, and Google Scholar, spanning 2013 to 2023. The primary outcomes included all-cause mortality (ACM), myocardial infarction (MI), cardiovascular death (CVD), rehospitalization due to decompensated heart failure (RDHF), need for revascularization, and stroke. Comprehensive meta-analysis (CMA) was employed to analyze the data for odds ratios (OR) and 95% confidence intervals (CI). Heterogeneity was assessed using I2 statistics, and both qualitative assessment (Newcastle-Ottawa Scale) and quantitative analysis (Egger's and Beggs test, funnel plots) were conducted. RESULTS: The analysis included 29,115 participants (74.72% male) with a mean age of 68.34 years. It revealed a significantly elevated risk of ACM among stable CAD patients with Hs-cTnT levels >14 ng/L compared to those with levels <14 ng/L (11.2% vs. 3.3%; OR = 5.46; 95% CI = 1.53-19.54; p = 0.009). Similarly, higher risks were observed for MI (10.9% vs 3.6%; OR = 3.12; 95% CI = 0.98-9.95, p = 0.053), CVD (8.1% vs. 2.1%; OR = 3.37; 95% CI = 1.74-6.50; p < 0.0001), and RDHF (6.62% vs. 0.92%; OR = 9.46; 95% CI = 4.65-19.24; p < 0.0001). Notably, major adverse cardiovascular events (MACE) exhibited a stronger association with Hs-cTnT levels (18.2% vs 7.81%; OR = 1.89; 95% CI = 0.80-4.43; I2 = 97%; p = 0.14) compared to Hs-cTnI levels (20.1% vs 21.1%; OR = 1.30; 95% CI = 1.03-1.64; I2 <0.0001%; p = 0.03). CONCLUSION: Elevated levels of Hs-cTnT (>14 ng/L) are significantly associated with increased risks of RDHF and ACM in patients with stable CAD. Further large-scale prospective studies are warranted to refine risk assessment strategies and mitigate cardiovascular mortality in this population.

RESUMEN

Background: Limited evidence exists regarding the effects of non-invasive ventilation (NIV) on the prognosis of patients with concomitant chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA), also known as overlap syndrome (OS). This study aimed to assess whether NIV alongside standard care could improve the prognosis of this cohort. Methods: We retrospectively collected data from 229 patients with severe OS treated in Beijing Anzhen Hospital between January 1, 2016 and January 1, 2020, with follow-up until December 1, 2023. All patients were recommended usual care and NIV and were subsequently divided into non-NIV (usual care only) and NIV groups (usual care plus NIV) per their willingness and adherence to NIV. Endpoints included all-cause and acute exacerbation of COPD (AECOPD)-associated death and re-hospitalization. Multivariate analyses were used to determine the relationship of NIV with prognosis. Results: The follow-up lasted for a median of 760 days (interquartile range, 245-1,374 days). Patients in the NIV group showed lower rates of all-cause (37.5% vs. 65.1%, P<0.001) and AECOPD-associated (31.7% vs. 58.7%, P<0.001) death compared with patients in the non-NIV group. Compared with usual care only, NIV treatment was associated with significant reduction in all-cause death [relative risks (RR) =0.459, 95% confidence interval (CI): 0.315-0.668, P<0.001], AECOPD-associated mortality (RR =0.424, 95% CI: 0.283-0.635, P<0.001), and re-hospitalization for all causes (RR =0.455, 95% CI: 0.342-0.605, P<0.001) and for AECOPD (RR =0.421, 95% CI: 0.308-0.575, P<0.001) in Cox hazards models, with significance persisting after multivariable adjustment. Conclusions: NIV may improve outcomes and survival in patients with severe OS of comorbid COPD and OSA. Confirmatory studies are needed to prove benefits.

RESUMEN

BACKGROUND: There are significant sex differences in the incidence of stroke or diabetes mellitus. However, little is known about sex differences in stroke rehospitalization among diabetic patients. OBJECT: To explore the sex differences in short-term and long-term rehospitalization of ischemic stroke patients with Type 2 diabetes mellitus. METHODS: A retrospective cohort study was conducted from 2017 to 2021. The rehospitalization events of ischemic stroke patients with diabetes mellitus were identified by the national unified Electronic Health Record. Propensity score matching was applied to adjust for multiple covariates, and LASSO regression was used to screen for independent variables. Cox proportional hazards model was utilized to analyze the different sex in short-term (90 days, 1 year) and long-term (5 years) rehospitalization in ischemic stroke patients with type 2 diabetes mellitus. RESULT: A total of 10,724 ischemic stroke patients were included in this study, of whom 5,952 (55.5%) were males. After a 1:1 propensity score matching, there were 3,460 males and 2,772 females. After adjusting for confounding factors, female patients with type 2 diabetes had an increased risk of ischemic stroke rehospitalization at 90 days (HR: 1.94, 95%CI: 1.13-3.33, P < 0.05), 1 year (HR: 1.65, 95%CI:1.22-2.23, P = 0.001), and 5 years (HR: 1.58, 95%CI: 1.26-1.97, P < 0.001). However, there was no significant relationship between male patients with type 2 diabetes and the risk of ischemic stroke rehospitalization, either in the short or long term. CONCLUSION: Females with type 2 diabetes mellitus have a higher risk of ischemic stroke rehospitalization in both the short-term and long-term.

Asunto(s)

RESUMEN

OBJECTIVE: The most important aspect of managing heart failure (HF) is preventing rehospitalization. Bundle branch block (BBB), particularly left BBB (LBBB), has been a known risk factor for worsening prognosis, whereas no such consideration has been made for right BBB (RBBB). However, recent research has shown that RBBB was associated with increased mortality. This study evaluated the effects of RBBB on prognosis, especially rehospitalization, in patients with HF. MATERIALS: This study included 698 patients admitted for HF. Those who died in the hospital (n = 31) and dropped out during observation (n = 143) were excluded. After one year of observation, the patients were divided into a control group (n = 361) and a major adverse cardiovascular event (MACE) group (n = 163). After further excluding according to electrocardiography findings, patients were categorized as having no BBB (n = 307), pure RBBB (n = 37), and LBBB (n = 56), and then the characteristics, clinical data, and prognosis of the remaining patients were evaluated. RESULTS: Patients were compared to no BBB, pure RBBB, and LBBB was associated with a risk for HF rehospitalization (p = 0.007). Furthermore, pure RBBB was independently associated with HF rehospitalization even after adjusting for confounders (hazard ratio: 2.40 (95% confidence interval: 1.26-4.58; p = 0.008). CONCLUSION: Pure RBBB was independently associated with HF rehospitalization, highlighting the need for vigilance against the risk of HF rehospitalization among those with pure RBBB.

RESUMEN

PURPOSE: 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. CONCLUSION: 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.

RESUMEN

Context: 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. Aims: 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. Settings and Design: This study is a prospective cohort study, conducted in Prof. Dr. I G.N.G Ngoerah Hospital, Bali, Indonesia. Subjects and Methods: 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. Statistical Analysis Used: 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. Results: 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. Conclusions: Predischarge PALS is comparable to NT-proBNP levels as independent predictors of short-term MACE after AHF hospitalization.

RESUMEN

INTRODUCTION AND OBJECTIVES: Percutaneous left atrial appendage closure (LAAC) has emerged as a nonpharmacological alternative for the prevention of thromboembolic events 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 were common, mainly related to bleeding and heart failure events, and associated with patients' comorbidity burden. Readmission after LAAC confered a higher risk of mortality during the first 2 years after the procedure.

RESUMEN

BACKGROUND: Heart failure (HF) is a global health concern, and oxidative stress has been implicated in its progression. The redox state of human serum albumin, a systemic oxidative biomarker, holds promise as a prognostic marker in HF. This study aimed to investigate the association between the fraction of human mercaptalbumin (fHMA), an indicator of human serum albumin's redox state, and adverse events in HF within a prospective single-hospital-based cohort. METHODS: We enrolled patients hospitalized for HF and measured fHMA using high-performance liquid chromatography at discharge. The primary endpoint was the composite of HF rehospitalization and all-cause death within one year after discharge. RESULTS: A total of 221 participants (median age:79 years; 35 % female) were included in the study. Over the course of one year, 26.1 % of the patients experienced HF readmission, while 13.1 % died. The low fHMA group divided by median of fHMA (<57.6 %) showed higher composite outcome rates (41.4 % for the low fHMA vs. 24.6 % for the high fHMA, p = 0.0114). Multivariate analysis, accounting for seven potential confounders, identified low fHMA (adjusted HR: 1.79 [1.03-3.11]) and lower hemoglobin as independent predictors of HF prognosis. CONCLUSIONS: The findings in this study provide the first evidence that fHMA is a potential novel prognostic biomarker in patients with HF.

Asunto(s)

RESUMEN

Objective: Urinary tract infection is one of the most prevalent bacterial infectious diseases in outpatient treatment, and 50-80% of women experience it more than once, with a recurrence rate of 40-50% within a year; consequently, preventing re-hospitalization of patients is critical. However, in the field of urology, no research on the analysis of the re-hospitalization status for urinary tract infections using machine learning algorithms has been reported to date. Therefore, this study uses various machine learning algorithms to analyze the clinical and nonclinical factors related to patients who were re-hospitalized within 30 days of urinary tract infection. Methods: Data were collected from 497 patients re-hospitalized for urinary tract infections within 30 days and 496 patients who did not require re-hospitalization. The re-hospitalization factors were analyzed using four machine learning algorithms: gradient boosting classifier, random forest, naive Bayes, and logistic regression. Results: The best-performing gradient boosting classifier identified respiratory rate, days of hospitalization, albumin, diastolic blood pressure, blood urea nitrogen, body mass index, systolic blood pressure, body temperature, total bilirubin, and pulse as the top-10 factors that affect re-hospitalization because of urinary tract infections. The 993 patients whose data were collected were divided into risk groups based on these factors, and the re-hospitalization rate, days of hospitalization, and medical expenses were observed to decrease from the high- to low-risk group. Conclusions: This study showed new possibilities in analyzing the status of urinary tract infection-related re-hospitalization using machine learning. Identifying factors affecting re-hospitalization and incorporating preventable and reinforcement-based treatment programs can aid in reducing the re-hospitalization rate and average number of days of hospitalization, thereby reducing medical expenses.

RESUMEN

RATIONALE: To investigate the association between malnutrition and patient outcome following hospitalisation for Corona Virus Disease 2019 (COVID-19). METHODS: In April 2020, 268 adult patients (235 included in the follow-up) hospitalised for COVID-19 infection were evaluated for malnutrition risk and diagnosis using modified Nutritional Risk Screening 2002 and modified Global Leadership Initiative on Malnutrition criteria (GLIM), respectively. An 18-month follow-up was carried out to assess the incidence and the associated risk factors for death and re-hospitalization. RESULTS: The outcome was unknown for 33 patients. Death occurred in 39% of the 235 patients included in the follow-up. The risk of death was independently associated with malnutrition risk or diagnosis of malnutrition, whereas the male sex showed a protective association. The Kaplan-Meier survival curves showed that patients with diagnosis of malnutrition had lower survival rate. The re-hospitalization rate was 31% and was negatively associated with BMI≥25, and positively associated with length of hospitalisation for COVID-19 and with cancer comorbidity. CONCLUSIONS: In hospitalized patients for SARS-CoV-2 disease, both malnutrition risk (p = 0.050) and diagnosis of malnutrition (p = 0.047 with modified GLIM and C-reactive protein >0.5 mg/dL; p = 0.024 with modified GLIM and C-reactive protein >5 mg/dL) were predictive risk factors for mortality, whereas male sex was associated with lower risk of death. Overweight at time of hospitalization and the length of hospitalisation were respectively protective and risk factor for re-hospitalization after discharge.

RESUMEN

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.

Asunto(s)

RESUMEN

OBJECTIVES: Post-hospital falls impose a substantial healthcare burden on older adults, yet contributing factors remain inadequately examined. This study aimed to investigate underinvestigated factors associated with post-hospital falls. STUDY DESIGN: Retrospective territory-wide cohort study. METHODS: We examined the electronic medical records of patients aged ≥65 who were discharged from public hospitals in Hong Kong (2007-2018). During the 12 months following discharge, participants were monitored to identify falls based on diagnosis codes or clinical notes from inpatient episodes, the emergency department (ED) visits, and death records. Falls were categorized into two groups: those only requiring ED visits and those requiring hospitalizations. Binary logistic and multinomial logistic regressions examined the associated factors for post-hospital falls and subcategories of falls, respectively. RESULTS: Among 606,392 older patients, 28,593 (4.71%; 95% CI = 4.66%-4.77%) experienced falls within 12 months after discharge. Of those, 8438 (29.5%) only required ED visits, and 20,147 (70.5%) required hospitalizations. Discharge from non-surgical wards, length of stay over two weeks, receiving the Geriatric Day Hospital and Rehabilitation Day Program, advancing age, being female, having more comorbidities, taking more fall risk increasing drugs, previous admission for falls, and living in Hong Kong Island were associated with increased fall risk. Receiving allied health service or nurse service was associated with reduced risk. The same factors were more associated with falls requiring hospitalizations rather than falls only requiring ED visits. CONCLUSIONS: Older patients with identified factors were particularly vulnerable to post-hospital falls leading to rehospitalizations. Fall risk assessment and tailored prevention should prioritize this group.

Asunto(s)

RESUMEN

AIMS: 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. METHODS AND 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.

RESUMEN

Introduction: 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. Methods: 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. Results: 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. Conclusion: 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.

RESUMEN

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.

RESUMEN

AIMS: 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.

RESUMEN

AIMS: Same-day discharge (SDD) after catheter ablation of atrial fibrillation (AF) may address the growing socio-economic health burden of the increasing demand for interventional AF therapies. This systematic review and meta-analysis analyses the current evidence on clinical outcomes in SDD after AF ablation compared with overnight stay (ONS). METHODS AND RESULTS: A systematic search of the PubMed database was performed. Pre-defined endpoints were complications at short-term (24-96 h) and 30-day post-discharge, re-hospitalization, and/or emergency room (ER) visits at 30-day post-discharge, and 30-day mortality. Twenty-four studies (154 716 patients) were included. Random-effects models were applied for meta-analyses of pooled endpoint prevalence in the SDD cohort and for comparison between SDD and ONS cohorts. Pooled estimates for complications after SDD were low both for short-term [2%; 95% confidence interval (CI): 1-5%; I2: 89%) and 30-day follow-up (2%; 95% CI: 1-4%; I2: 91%). There was no significant difference in complications rates between SDD and ONS [short-term: risk ratio (RR): 1.62; 95% CI: 0.52-5.01; I2: 37%; 30 days: RR: 0.65; 95% CI: 0.42-1.00; I2: 95%). Pooled rates of re-hospitalization/ER visits after SDD were 4% (95% CI: 1-10%; I2: 96%) with no statistically significant difference between SDD and ONS (RR: 0.86; 95% CI: 0.58-1.27; I2: 61%). Pooled 30-day mortality was low after SDD (0%; 95% CI: 0-1%; I2: 33%). All studies were subject to a relevant risk of bias, mainly due to study design. CONCLUSION: In this meta-analysis including a large contemporary cohort, SDD after AF ablation was associated with low prevalence of post-discharge complications, re-hospitalizations/ER visits and mortality, and a similar risk compared with ONS. Due to limited quality of current evidence, further prospective, randomized trials are needed to confirm safety of SDD and define patient- and procedure-related prerequisites for successful and safe SDD strategies.

Asunto(s)

RESUMEN

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.

RESUMEN

Introduction: Type 1 cardiorenal syndrome (CRS) is defined as acute decompensated heart failure (AHF) leading to secondary acute kidney injury. Few studies have evaluated the reliability of transthoracic echocardiography (TTE) in assessing outcomes in patients with type 1 CRS. We sought to identify echocardiographic predictors of outcomes (death and rehospitalization) in patients with type 1 CRS. Methods: This was a prospective longitudinal monocentric study, conducted from December 2020 to December 2022 in the cardiology department of the Internal Security Forces Hospital in Marsa, Tunisia. 68 patients with type 1 CRS were included prospectively. Physical, biological, and echocardiographic data were collected during the index hospitalization and at 3 and 6 months of follow-up. Results: The mean age was 69 ± 10.1 years with a male predominance (72.0%). The mortality rate during initial hospitalization for AHF was 11.7%. The all-cause mortality rate at six months was 22.0%. The rehospitalization rate was 38.0%. Severe tricuspid regurgitation (p = 0.031), the subaortic velocity time integral (LVOT-VTI) with a cut-off value of 16, a sensitivity (Se) of 65%, and a specificity (Sp) of 85% (Area under the curve (AUC) = 0.818, p < 0.001), the right ventricular fractional area change (RV-FAC) with a cut-off value of 16, a Se of 60% and a Sp of 81% (AUC = 0.775, p < 0.001) were independent predictors of the cumulative rates of rehospitalization and mortality at six months. Left ventricular ejection fraction (LVEF) < 35% (HR = 0.828, 95% CI: 0.689-0.995, p = 0.044) and the RV-FAC (HR = 0.564, 95% CI: 0.361-0.881, p = 0.012) were independent predictors of all-cause mortality. LVOT-VTI (AUC = 0.766, p < 0.001) was a significantly independent predictor of rehospitalization. Conclusion: This study confirmed that type 1 CRS is associated with a poor prognosis. LVEF, LVOT-VTI, and RV-FAC are simple, reproducible, and sensitive ultrasound parameters for predicting outcomes in patients with type 1 CRS.

RESUMEN

INTRODUCTION: 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). DISCUSSION AND CONCLUSION: 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.