Search

Background: Heart failure with preserved ejection fraction (HFpEF) is associated with elevated rates of readmission and mortality. Accurate prediction of readmission risk is essential for optimizing healthcare resources and enhancing patient outcomes., Methods: We conducted a retrospective cohort study utilizing HFpEF patient data from two institutions: the First Affiliated Hospital Zhejiang University School of Medicine for model development and internal validation, and the Affiliated Hospital of Xuzhou Medical University for external validation. A machine learning (ML) model was developed and validated using 53 variables to predict the risk of readmission within one year. The model's performance was assessed using several metrics, including the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, F1 score, model training time, model prediction time and brier score. SHAP (SHapley Additive exPlanations) analysis was employed to enhance model interpretability, and a dynamic nomogram was constructed to visualize the predictive model., Results: Among the 766 HFpEF patients included in the study, 203 (26.5%) were readmitted within one year. The LightGBM model exhibited the highest predictive performance, with an AUC of 0.88 (95% confidence interval (CI):0.84-0.91), an accuracy of 0.79, a sensitivity of 0.81, and a specificity of 0.78. Key predictors included the E/e' ratio, NYHA classification, LVEF, age, BNP levels, MLR, history of atrial fibrillation (AF), use of ACEI/ARB/ARNI, and history of myocardial infarction (MI). External validation also demonstrated strong predictive performance, with an AUC of 0.87 (95%CI:0.83-0.91)., Conclusions: The LightGBM model exhibited robust performance in predicting one-year readmission risk among HFpEF patients, providing a valuable tool for clinicians to identify high-risk individuals and implement timely interventions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

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., Competing Interests: Conflict of interest: None declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

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., (© 2024. The Author(s).)

Background: Chloride plays a crucial role in renal salt sensing. This study investigates whether serum chloride is associated with clinical outcomes and decongestive response to acetazolamide in patients with acute decompensated heart failure., Methods: This post hoc analysis includes all 519 patients from the ADVOR trial (Acetazolamide in Decompensated Heart Failure With Volume Overload), randomized to intravenous acetazolamide or matching placebo on top of intravenous loop diuretics. The impact of baseline serum chloride on the main trial end points and the treatment effect of acetazolamide was assessed, as was the evolution of serum chloride under decongestive treatment., Results: Hypochloremia (<96 mmol/L) and hyperchloremia (>106 mmol/L) were present in 80 (15%) and 53 (10%), respectively, at baseline. Hypochloremia was associated with significantly slower decongestion, a longer length of hospital stay, and increased risk of all-cause mortality and heart failure readmissions. Acetazolamide increased the odds of successful decongestion and reduced length of stay irrespectively of baseline serum chloride levels. No statistically significant interaction between serum chloride levels and the effect of acetazolamide on death or heart failure readmissions was observed. The placebo group exhibited a progressive decline in serum chloride, which was effectively prevented by acetazolamide ( P <0.001)., Conclusions: Hypochloremia is associated with diuretic resistance and worse clinical outcomes. Add-on acetazolamide therapy improves decongestion across the entire range of serum chloride and prevents the drop in chloride levels caused by loop diuretic monotherapy., Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03505788., Competing Interests: Dr Damman reports speaker/consultancy and research fees to his institution from Astra Zeneca, Abbott, Novartis, FIRE1, and Boehringer Ingelheim. Dr Ruschitzka has not received personal payments by pharmaceutical companies or device manufacturers in the past 3 years (remuneration for the time spent in activities, such as participation as steering committee member of clinical trials and member of the Pfizer Research Award selection committee in Switzerland, were made directly to the University of Zurich). The Department of Cardiology (University Hospital of Zurich/University of Zurich) reports research, educational, and travel grants from Abbott, Amgen, Astra Zeneca, Bayer, Berlin Heart, B. Braun, Biosense Webster, Biosensors Europe AG, Biotronik, BMS, Boehringer Ingelheim, Boston Scientific, Bracco, Cardinal Health Switzerland, Corteria, Daiichi, Diatools AG, Edwards Lifesciences, Guidant Europe NV (BS), Hamilton Health Sciences, Kaneka Corporation, Kantar, Labormedizinisches Zentrum, Medtronic, MSD, Mundipharma Medical Company, Novartis, Novo Nordisk, Orion, Pfizer, Quintiles Switzerland Sarl, Roche Diagnostics, Sahajanand IN, Sanofi, Sarstedt AG, Servier, SIS Medical, SSS International Clinical Research, Terumo Deutschland, Trama Solutions, V-Wave, Vascular Medical, Vifor, Wissens Plus, and Zoll Medical UK. The research and educational grants do not impact on Dr Ruschitzka’s personal remuneration. Dr Verbrugge reports a consulting relationship with Abbott Laboratories, Abiomed, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb Belgium, Daiichi-Sankyo, Menarini Benelux, MSD, Novartis Pharma, Novo Nordisk Pharma, Pfizer, Roche Diagnostics, and Qompium.

Aims: There is a lack of tools for accurately identifying the risk of readmission for heart failure in elderly patients with arrhythmia. The aim of this study was to establish and compare the performance of the LACE [length of stay ('L'), acute (emergent) admission ('A'), Charlson comorbidity index ('C') and visits to the emergency department during the previous 6 months ('E')] index and machine learning in predicting 1 year readmission for heart failure in elderly patients with arrhythmia., Methods: Elderly patients with arrhythmia who were hospitalized at Sichuan Provincial People's Hospital between 1 June 2018 and 31 May 2020 were enrolled. The LACE index was calculated for each patient, and the area under the receiver operating characteristic curve (AUROC) was calculated. Six machine learning algorithms, combined with three variable selection methods and clinically relevant features available at the time of hospital discharge, were used to develop machine learning models. AUROC and area under the precision-recall curve (AUPRC) were used to assess discrimination. Shapley additive explanations (SHAP) analysis was used to explain the contributions of the features., Results: A total of 523 patients were enrolled, and 108 patients experienced 1 year hospital readmission for heart failure. The AUROC of the LACE index was 0.5886. The complete machine learning model had the best predictive performance, with an AUROC of 0.7571 and an AUPRC of 0.4096. The most important predictors for 1 year readmission were educational level, total triiodothyronine (TT3), aspartate aminotransferase/alanine aminotransferase (AST/ALT), number of medications (NOM) and triglyceride (TG) level., Conclusions: Compared with the LACE index, the machine learning model can accurately identify the risk of 1 year readmission for heart failure in elderly patients with arrhythmia., (© 2024 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background: Patients with heart failure with reduced ejection fraction (HFrEF) are at increased risk for sepsis/septic shock., Method: A retrospective study was conducted using the Nationwide Readmission Database (2016-2020). Adult patients admitted with sepsis or septic shock were identified and stratified based on the presence of underlying HFrEF. Multivariable logistic regression assessed the association between HFrEF and in-hospital mortality, 90-day readmission, and other complications., Results: Among 7,326,930 sepsis/septic shock admissions, 6.2 % had HFrEF. HFrEF patients had higher in-hospital mortality (17 % vs. 9.6 %, p < 0.01) and 90-day readmission rates (30.2 % vs. 22.5 %, p < 0.01) compared to those without HFrEF. These differences persisted after adjustment with increased risk of in-hospital mortality (aOR 1.40, 95 %CI 1.38-1.42) and 90-day readmission (aOR 1.15, 95 %CI 1.13-1.16)., Conclusion: HFrEF patients admitted with sepsis/septic shock have significantly higher rates of in-hospital mortality, complications, and 90-day readmissions compared to those without HFrEF., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Inc.)

Background: The PRADO-IC (Programme de Retour à Domicile après une Insuffisance Cardiaque) is a transition care program designed to improve the coordination of care between hospital and home that was generalized in France in 2014. The PRADO-IC consists of an administrative assistant who visits patients during hospitalization to schedule follow-up visits. The aim of the present study was to evaluate the PRADO-IC program based on the hypotheses provided by health authorities., Methods and Results: The PRADOC study is a multicenter, controlled, randomized, open-label, mixed-method trial of the transition program PRADO-IC versus usual management in patients hospitalized with heart failure (standard of care group; NCT03396081). A total of 404 patients were recruited between April 2018 and May 2021. The mean patient age was 75 years (±12 years) in both groups. The 2 groups were well balanced regarding severity indices. At discharge, patients homogeneously received the recommended drugs. There was no difference between groups regarding hospitalizations for acute heart failure at 1 year, with 24.60% in the standard of care group and 25.40% in the PRADO-IC group during the year following the index hospitalization (hazard ratio, 1.04 [95% CI, 0.69-1.56]; P =0.85) or cardiovascular mortality (hazard ratio, 0.67 [95% CI, 0.34-1.31]; P =0.24)., Conclusions: The PRADO-IC has not significantly improved clinical outcomes, though a trend toward reduced cardiovascular mortality is evident. These results will help in understanding how transitional care programs remain to be integrated in pathways of current patients, including telemonitoring, and to better tailor individualized approaches., Registration: URL: https://www.clinicaltrials.gov; Unique Identifier: NCT03396081.

Background: The efficacy of dapagliflozin in patients with acute heart failure remains unclear., Objective: To investigate the impact of dapagliflozin (DAPA) on loop diuretics use and 90-day readmission in patients with acute heart failure., Methods: In a retrospective cohort study, patients diagnosed with acute heart failure or chronic heart failure with acute exacerbation admitted to Fuyang People's Hospital from January 2021 to April 2023, this study used DAPA (at a dose of 10 mg once daily) in combination with standard treatment. The patients were divided into DAPA group and DAPA-Free group based on whether they used DAPA in acute heart failure. To minimize the influence of confounding factors and ensure comparability between groups, we used propensity score matching (PSM)., Results: A total of 399 patients were included, with 206 patients (51.63%) in the DAPA group and 193 patients (48.37%) in the DAPA-Free group. PSM produced 160 pairs. After PSM, there were no statistically significant differences between the DAPA and DAPA-Free groups in terms of readmission of all causes (16.88% vs. 18.12%, OR 0.9141, 95% CI 0.5385-1.552, log rank P = 0.739) or readmission for heart failure (11.88% vs. 15.0%, OR 0.9077, 95% CI 0.4441-1.469, log rank P = 0.484) after 90-day follow-up. Patients in the DAPA group had a lower mean daily dose of intravenous loop diuretics compared to the DAPA-Free group (20 mg/d vs. 30.00 mg/d, P<0.001), lower total loop diuretic dose during hospitalization (106.06 ± 31.23 mg vs. 144.50 ± 45.39 mg, P = 0.038) and a decreased number of diuretic types used (11.88% vs. 23.12%, P = 0.008)., Conclusions: DAPA reduced the dose of intravenous loop diuretics. However, it did not improve all-cause readmission for 90 days or readmission for heart failure after discharge., (© 2024. The Author(s).)

Aims: The predictive value of the lactate/albumin ratio (LAR) in mortality is established in various conditions, yet its relevance to 3-month readmission risk in Chinese adults with heart failure (HF) remains unclear., Method and Results: Analysing data from 957 patients with HF at Zigong Fourth People's Hospital, Sichuan, China (December 2016 to June 2019), we assessed baseline characteristics, vital signs, comorbidities, and prescriptions. LAR demonstrated a linear correlation with 3-month readmission risk (HR = 1.60, 95% CI: 1.19-2.16). Tertile 3 (≥-0.48) exhibited higher risk than tertile 1 (<-0.83) and tertile 2 [-0.83, -0.48), with HRs and 95% CI of 1.49 (1.06-2.10), 1.43 (1.01-2.02), 1.48 (1.03-2.12), respectively. Subgroup and sensitivity analyses affirmed consistent influence of LAR on 3-month readmission risk for HF., Conclusions: Higher LAR significantly correlates with increased 3-month readmission risk in Chinese adult patients with HF, suggesting LAR is a valuable predictor for early readmission., (© 2024 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background: Heart failure (HF) is a global burden on healthcare systems, but the literature regarding nationwide trends in the care and outcomes of HF hospitalization in Japan is limited. Therefore, we aimed to investigate the trends in patient characteristics, treatment patterns, and outcomes of patients hospitalized with acute HF., Methods and results: We used data from the Japanese Registry of All Cardiac and Vascular Diseases and the Diagnosis Procedure Combination database between April 2012 and March 2021 to analyze 840,357 patients aged ≥18 years who were hospitalized with an acute HF diagnosis. Over the study period (2012-2020), the mean (±standard deviation) age increased from 78.9 (±11.9) years to 80.9 (±11.8) years (P for trend <0.001), the proportion of female patients decreased from 48.7% to 47.5% (P for trend=0.02), crude in-hospital mortality rate decreased from 11.5% to 10.9%, and 30-day HF readmissions decreased from 7.4% to 7.0% (both P for trend <0.001). The reduction in outcomes was more apparent in the older age groups. The standardized outcomes demonstrated the same trends as the crude outcomes., Conclusions: Our nationwide hospital admission analysis clarified that patients hospitalized with acute HF were getting older, but mortality and readmission rates also decreased, especially in older patients during the 2010s.

Background: How socio-demographic characteristics and comorbidities affect bacterial community-acquired pneumonia (CAP) prognosis during/after hospitalization is important in disease management., Objectives: To identify predictors of medical intensive care unit (MICU) admission, length of hospital stay (LOS), in-hospital mortality, and bacterial CAP readmission in patients hospitalized with bacterial CAP., Methods: ICD-9/10 codes were used to query electronic medical records to identify a cohort of patients hospitalized for bacterial CAP at a tertiary hospital in Southeastern US between 01/01/2013-12/31/2019. Adjusted accelerated failure time and modified Poisson regression models were used to examine predictors of MICU admission, LOS, in-hospital mortality, and 1-year readmission., Results: There were 1956 adults hospitalized with bacterial CAP. Median (interquartile range) LOS was 11 days (6-23), and there were 26 % (513) MICU admission, 14 % (266) in-hospital mortality, and 6 % (117) 1-year readmission with recurrent CAP. MICU admission was associated with heart failure (RR 1.38; 95 % CI 1.17-1.62) and obesity (RR 1.26; 95 % CI 1.04-1.52). Longer LOS was associated with heart failure (adjusted time ratio[TR] 1.27;95 %CI 1.12-1.43), stroke (TR 1.90;95 %CI 1.54,2.35), type 2 diabetes (TR 1.20;95 %CI 1.07-1.36), obesity (TR 1.50;95 %CI 1.31-1.72), Black race (TR 1.17;95 %CI 1.04-1.31), and males (TR 1.24;95 %CI 1.10-1.39). In-hospital mortality was associated with stroke (RR 1.45;95 %CI 1.03-2.04) and age ≥65 years (RR 1.34;95 %CI 1.06-1.68). 1-year readmission was associated with COPD (RR 1.55;95 %CI 1.05-2.27) and underweight BMI (RR 1.74;95 %CI 1.04-2.90)., Conclusions: Comorbidities and socio-demographic characteristics have varying impacts on bacterial CAP in-hospital prognosis and readmission. More studies are warranted to confirm these findings to develop comprehensive care plans and inform public health interventions., Competing Interests: Declaration of competing interest No conflicts exist for AJI, MLB, HWW, RLG, SS, and RAL., (Published by Elsevier Inc.)

Background: Nurse-led disease management programs (DMPs) decrease readmission after acute decompensated heart failure (HF). We sought whether readmissions could be further reduced by lung ultrasound (LUS)-guided decongestion before discharge and during DMP., Methods and Results: Of 290 patients hospitalized with acute decompensated HF, 122 at high risk for readmission or mortality were randomized to receive usual care (UC) (n = 64) or UC plus intervention (DMP-Plus) (n = 58), comprising LUS-guided management before discharge and during at-home follow-up. Residual congestion was identified by ≥10 B-lines detected in 8 lung zones. The outcomes included a composite of readmission and/or mortality at 30 and 90 days, and 90-day HF readmission. Residual congestion was detected equally among the patient groups. The 30-day composite outcome occurred in 28% DMP-plus patients and 22% UC patients (odd ratio [OR], 1.36; 95% confidence interval [CI], 0.59-3.1; P = .5) and the 90-day HF readmission outcome occurred in 22% and 31%, respectively (odds ratio, 0.63; 95% CI, 0.28-1.43; P = .3). Residual congestion, identified at predischarge LUS examination in high-risk patients, was associated with early (<14-day) HF readmission (relative risk, 1.19; 95% CI, 1.06-1.32; P = .002) and multiple (≥2) readmissions over 90 days of follow-up (relative risk, 1.09; 95% CI, 1.01-1.16; P = .012), independent of demographics and comorbidities., Conclusions: Readmission in patients with incomplete decongestion before discharge occurs within the first 2 weeks. However, our DMP-plus strategy did not improve the primary outcome., Competing Interests: Disclosures The authors have nothing to disclose, (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Aims: Reducing preventable hospitalization for congestive heart failure (CHF) patients is a challenge for health systems worldwide. CHF patients who also have a recent or ongoing mental disorder may have worse health outcomes compared with CHF patients with no mental disorders. This study examined the impact of mental disorders on 28 day unplanned readmissions of CHF patients., Methods and Results: This retrospective cohort study used population-level linked public and private hospitalization and death data of adults aged ≥18 years who had a CHF admission in New South Wales, Australia, between 1 January 2014 and 31 December 2020. Individuals' mental disorder diagnosis and Charlson comorbidity and hospital frailty index scores were derived from admission records. Competing risk and cause-specific risk analyses were conducted to examine the impact of having a mental disorder diagnosis on all-cause hospital readmission. Of the 65 861 adults with index CHF admission discharged alive (mean age: 78.6 ± 12.1; 48% female), 19.2% (12 675) had at least one unplanned readmission within 28 days following discharge. Adults with CHF with a mental disorder diagnosis within 12 months had a higher risk of 28 day all-cause unplanned readmission [hazard ratio (HR): 1.21, 95% confidence interval (CI): 1.15-1.27, P-value < 0.001], particularly those with anxiety disorder (HR: 1.49, 95% CI: 1.35-1.65, P-value < 0.001). CHF patients aged ≥85 years (HR: 1.19, 95% CI: 1.11-1.28), having ≥3 other comorbidities (HR: 1.35, 95% CI: 1.25-1.46), and having an intermediate (HR: 1.34, 95% CI: 1.28-1.40) or high (HR: 1.37, 95% CI: 1.27-1.47) frailty score on admission had a higher risk of unplanned readmission. CHF patients with a mental disorder who have ≥3 other comorbidities and an intermediate frailty score had the highest probability of unplanned readmission (29.84%, 95% CI: 24.68-35.73%) after considering other patient-level factors and competing events., Conclusions: CHF patients who had a mental disorder diagnosis in the past 12 months are more likely to be readmitted compared with those without a mental disorder diagnosis. CHF patients with frailty and a mental disorder have the highest probability of readmission. Addressing mental health care services in CHF patient's discharge plan could potentially assist reduce unplanned readmissions., (© 2024 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background: Incomplete treatment of congestion often leads to worsening heart failure (HF). The remote dielectric sensing (ReDS) system is an electromagnetic energy-based technology that accurately quantifies changes in lung fluid concentration noninvasively., Objectives: This study sought to assess whether an ReDS-guided strategy during acutely decompensated HF hospitalization is superior to routine care for improving outcomes at 1 month postdischarge., Methods: ReDS-SAFE HF (Use of ReDS for a SAFE discharge in patients with acute Heart Failure) was an investigator-initiated, multicenter, single-blind, randomized, proof-of-concept trial in which 100 patients were randomized to a routine care strategy, with discharge criteria based on current clinical practice, or an ReDS-guided decongestion strategy, with discharge criteria requiring an ReDS value of ≤35%. ReDS measurements were performed daily and at a 7-day follow-up visit, with patients and treating physicians in the routine care arm blinded to the results. The primary outcome was a composite of unplanned visits for HF, HF rehospitalization, or death at 1 month after discharge., Results: The mean age was 67 ± 14 years, and 74% were male. On admission, left ventricular ejection fraction was 37% ± 16%, and B-type natriuretic peptide was 940 pg/L (Q1-Q3: 529-1,665 pg/L). The primary endpoint occurred in 10 (20%) patients in the routine care group and 1 (2%) in the ReDS-guided strategy group (log-rank P = 0.005). The ReDS-guided strategy group experienced a lower event rate, with an HR of 0.094 (95% CI: 0.012-0.731; P = 0.003), and a number of patients needed to treat of 6 to avoid an event (95% CI: 3-17), mainly resulting from a decrease in HF readmissions. The median length of stay was 2 days longer in the ReDS-guided group vs the routine care group (8 vs 6; P = 0.203)., Conclusions: A ReDS-guided strategy to treat congestion improved 1-month prognosis postdischarge in this proof-of-concept study, mainly because of a decrease of the number of HF readmissions. (Use of ReDS for a SAFE discharge in patients with acute Heart Failure [ReDS-SAFE HF]; NCT04305717)., Competing Interests: Funding Support and Author Disclosures Remote dielectric sensing equipment was loaned by Sensible Medical and Sorevan. Dr Alvarez-Garcia has received a research grant from the Private Foundation Daniel Bravo Andreu. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background and Purpose: In Spain there is a lack of population data that specifically compare hospitalization for systolic and diastolic heart failure (HF). We assessed clinical characteristics, in-hospital mortality and 30-day cardiovascular readmission rates differentiating by HF type., Methods: We conducted a retrospective observational study of patients discharged with the principal diagnosis of HF from The National Health System' acute hospital during 2016-2019, distinguishing between systolic and diastolic HF. The source of the data was the Minimum Basic Data Set. The risk-standardized in-hospital mortality ratio and risk-standardized 30-day cardiovascular readmission ratio were calculated using multilevel risk adjustment models., Results: The 190,200 episodes of HF were selected. Of these, 163,727 (86.1%) were classified as diastolic HF and were characterized by older age, higher proportion of women, diabetes mellitus, dementia and renal failure than those with systolic HF. In the multilevel risk adjustment models, diastolic HF was a protective factor for both in-hospital mortality (odds ratio [OR]: 0.79; 95% confidence interval [CI]: 0.75-0.83; P<.001) and 30-day cardiovascular readmission versus systolic HF (OR: 0.93; 95% CI: 0.88-0.97; P=.002)., Conclusions: In Spain, between 2016 and 2019, hospitalization episodes for HF were mostly due to diastolic HF. According to the multilevel risk adjustment models, diastolic HF compared to systolic HF was a protective factor for both in-hospital mortality and 30-day cardiovascular readmission., (Copyright © 2023 Elsevier España, S.L.U. All rights reserved.)

Aims: Fluid overload is a common manifestation of cardiovascular and kidney disease and a leading cause of hospitalizations. To identify patients at risk of recurrent severe fluid overload, we evaluated the incidence and risk factors associated with early repeat hospitalization for fluid overload among individuals with cardiovascular disease and risks., Methods: Single-center retrospective cohort study of 3423 consecutive adults with an index hospitalization for fluid overload between January 2015 and December 2017 and had cardiovascular risks (older age, diabetes mellitus, hypertension, dyslipidemia, kidney disease, known cardiovascular disease), but excluded if lost to follow-up or eGFR < 15 ml/min/1.73 m 2 . The outcome was early repeat hospitalization for fluid overload within 30 days of discharge., Results: The mean age was 73.9 ± 11.6 years and eGFR was 54.1 ± 24.6 ml/min/1.73 m 2 at index hospitalization. Early repeat hospitalization for fluid overload occurred in 291 patients (8.5%). After adjusting for demographics, comorbidities, clinical parameters during index hospitalization and medications at discharge, cardiovascular disease (adjusted odds ratio, OR 1.66, 95% CI 1.27-2.17), prior hospitalization for fluid overload within 3 months (OR 2.52, 95% CI 1.17-5.44), prior hospitalization for any cause in within 6 months (OR 1.33, 95% CI 1.02-1.73) and intravenous furosemide use (OR 1.58, 95% CI 1.10-2.28) were associated with early repeat hospitalization for fluid overload. Higher systolic BP on admission (OR 0.992, 95% 0.986-0.998) and diuretic at discharge (OR 0.50, 95% CI 0.26-0.98) reduced early hospitalization for fluid overload., Conclusion: Patients at-risk of early repeat hospitalization for fluid overload may be identified using these risk factors for targeted interventions., (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.)

Coronary artery disease (CAD) is one of the main causes of heart failure (HF) with preserved ejection fraction (HFpEF). The efficacy of revascularization therapy in patients with HFpEF and CAD, however, remains unclear. Patients who underwent coronary angiography from January 2017 to December 2019 were included in this retrospective study if they further satisfied the diagnosis of HFpEF (left ventricular ejection fraction ≥50% plus plasma N-terminal pro-BNP ≥125 pg/ml) and CAD (patients had a history of confirmed myocardial infarction or ≥50% stenosis in at least 1 epicardial coronary vessel). Clinical data, way of revascularization, and outcome events (unplanned repeated revascularization, HF readmission, cardiovascular death, readmission of cerebral hemorrhage/stroke or gastrointestinal bleeding, and all-cause death) were recorded and analyzed. A total of 1,111 patients were enrolled for the present analysis. Based on whether the revascularization was complete or not, the patients were divided into the complete revascularization group (n = 780) and the incomplete/no revascularization group (n = 331). All patients were followed up with a median of 355 days. The overall rates of unplanned repeated revascularization, HF readmission, and cardiovascular death were 6.6%, 5.0%, and 0.4%, respectively. Compared with incompletely/not revascularized patients, completely revascularized patients had a lower rate of unplanned repeated revascularization (10.9% vs 4.7%, p <0.001) and cardiovascular death (0.9% vs 0.1%, p = 0.048). However, HF readmission, readmission of cerebral hemorrhage/stroke or gastrointestinal bleeding, and noncardiac death were comparable between the 2 groups. The regression analysis showed that hyperlipidemia, previous myocardial infarction, in-stent restenosis, and way of revascularization were associated with the composite events of unplanned repeated revascularization, HF readmission, and cardiovascular death during the follow-up. Complete revascularization may reduce unplanned repeated revascularization and cardiovascular death for patients with HFpEF and CAD., Competing Interests: Declaration of competing interest The authors have no competing interests to declare., (Copyright © 2023. Published by Elsevier Inc.)

Background: There is great heterogeneity in the quality of care among hospitals in China, but studies on the performance measures and prognosis of patients with heart failure (HF) are still deficient., Hypothesis: Performance measures have been used as a guideline to clinicans, however, the association between them and outcomes among HF patients in China remains unclear., Methods: We analyzed 4497 patients with HF from the Heart Failure Registry of Patient Outcomes study. Performance measures were determined according to the guidelines, and the patients were divided into four groups based on a composite performance score. Multiple imputation and Cox proportional-hazard regression models were used to assess the association between the performance measures and clinical outcomes., Results: Overall, only 12.5% of patients met the top 25% of the performance measures, whereas 33.5% of patients met the bottom 25% of the measures. A total of 992 (22.2%) patients died within 1 year, involving a larger proportion of patients who had met only the bottom 25% of the performance measures than had met the top 25% (27.0% vs. 16.3%, respectively). The patients who met the top 25% of the measures had a lower 1-year mortality rate (adjusted hazard ratio: 0.78, 95% confidence interval: 0.61-0.98)., Conclusions: The association between performance measures and mortality appeared to follow a dose-response pattern with a larger degree of compliance with performance measures being associated with a lower mortality rate in patients with HF. Accordingly, the quality of care for patients with HF in China needs to be further improved., (© 2024 The Authors. Clinical Cardiology published by Wiley Periodicals, LLC.)

Background: Heart failure (HF) continues to be a significant public health issue, posing a heightened risk of morbidity and mortality for both genders. Despite the widespread use of left ventricular assist device (LVAD), the influence of gender differences on clinical outcomes following implantation remains unclear., Objectives: We investigated the impact of gender differences on readmission rates and other outcomes following LVAD implantation in patients admitted with advanced HF., Methods: We conducted a retrospective study of patients who underwent LVAD implantation for advanced HF between 2014 and 2020, using the Nationwide Readmissions Database. Our study cohort was divided into male and female patients. The primary outcome was 30-day readmission (30-dr), while secondary outcomes were inpatient mortality, length of stay (LOS), procedural complication rates, and periadmission rates. Multivariate linear, Cox, and logistic regression analyses were performed., Results: During the study period, 11,492 patients with advanced HF who had LVAD placement were identified. Of these, 22% (n = 2532) were females and 78% (n = 8960) were males. The mean age was 53.9 ± 10.8 years for females and 56.3 ± 10.5 years for males (adjusted Wald test, p < 0.01). Readmissions were higher in females (21% vs. 17%, p = 0.02) when compared to males. Cox regression analysis showed higher readmission events (hazard ratio: 1.24, 95% confidence interval: 1.01-1.52, p = 0.03) in females when compared to males. Inpatient mortality, LOS, and most procedural complication rates were not statistically significantly different between the two groups (p > 0.05, all)., Conclusion: Women experienced higher readmission rates and were more likely to be readmitted multiple times after LVAD implantation when compared to their male counterparts. However, there were no significant sex-based differences in inpatient mortality, LOS, and nearly all procedural complication rates. These findings suggest that female patients may require closer monitoring and targeted interventions to reduce readmission rates., (© 2023 Wiley Periodicals LLC.)

Background: This nationwide routine data analysis evaluates if oral anticoagulant (OAC) use in patients with heart failure (HF) and atrial fibrillation (AF) leads to a lower mortality and reduced readmission rate. Superiority of new oral anticoagulants (NOACs), compared to vitamin K antagonists (VKA), was analyzed for these endpoints., Methods: Anonymous data of patients with a health insurance at the Allgemeine Ortskrankenkasse and a claims record for hospitalization with the main diagnosis of HF and secondary diagnosis of AF (2017-2019) were included. A hospital stay in the previous year was an exclusion criterion. Mortality and readmission for all-cause and stroke/intracranial bleeding (ICB) were analyzed 91-365 days after the index hospitalization. Kaplan-Meier survival curves and multivariable Cox regression models were used to evaluate the impact of medication on outcome., Results: 180,316 cases were included [81 years (IQR 76-86), 55.6% female, CHA 2 DS 2 -VASc score ≥ 2 (96.81%)]. In 80.6%, OACs were prescribed (VKA: 21.7%; direct factor Xa inhibitors (FXaI): 60.0%; direct thrombin inhibitors (DTI): 3.4%; with multiple prescriptions per patient included). Mortality rate was 19.1%, readmission rate was 29.9% and stroke/ICB occurred in 1.9%. Risk of death was lower with any OAC (HR 0.77, 95% CI [0.75-0.79]) but without significant differences in OAC type (VKA: HR 0.73, [0.71-0.76]; FXaI: HR 0.77, [0.75-0.78]; DTI: HR 0.71, [0.66-0.77]). The total readmission rate (HR 0.97, [0.94 to 0.99]) and readmission for stroke/ICB (HR 0.71, [0.65-0.77]) was lower with OAC., Conclusions: Nationwide data confirm a reduction in mortality and readmission rate in HF-AF patients taking OACs, without NOAC superiority., Competing Interests: Declaration of Competing Interest M.M. received speakers and consulting fees from Bayer Healthcare, BMS, Boehringer Ingelheim, Daiichi Sankyo, Astra Zeneca, Sanofi, BRAHMS GmbH and Roche Diagnostics as well as research funding from German public funding authorities for Health Care Research and Roche Diagnostics; G.M. received speaker fees from Getinge, Orion Pharma and AOP Orphan Pharmaceuticals Germany GmbH; no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Introduction: Sodium-glucose cotransporter-2 inhibitors (SGLT2is) are recommended in kidney disease and heart failure to reduce adverse clinical outcomes, but utilization can vary. To understand potential gaps in clinical practice and identify opportunities for improvement, we aimed to describe the prevalence and factors associated with SGLT2i prescription in patients with reduced kidney function hospitalized for fluid overload and/or heart failure., Methods: Single-center observational study of patients with reduced kidney function (eGFR 20-59 mL/min/1.73 m2) hospitalized for fluid overload or heart failure between January 2022 and December 2023. Data were retrieved from electronic medical records. The outcome was SGLT2i prescription at discharge. Potential variables affecting SGLT2i prescription were identified during stakeholder engagement and evaluated using multivariable logistic regression., Results: Among 2,543 patients, the median age was 79 (71, 86) years and admission eGFR was 38.7 (28.4, 49.4) mL/min/1.73 m2. SGLT2i was prescribed to 630 (24.8%) patients at discharge. SGLT2i prescription at discharge was independently associated with cardiovascular disease (OR 1.76, 95% CI: 1.31-2.35), diabetes (OR 1.59, 95% CI: 1.19-2.14), fluid overload or heart failure as the primary discharge diagnosis (OR 1.71, 95% CI: 1.29-2.28), SGLT2i pre-hospitalization (OR 104.91, 95% CI: 63.22-174.08), RAS blocker (OR 2.1, 95% CI: 1.65-2.89), and higher eGFR (OR 1.01, 95% CI: 1.003-1.02) at discharge; but inversely associated with older age (OR 0.97, 95% CI: 0.96-0.98)., Conclusion: SGLT2i prescription at discharge was suboptimal among patients with reduced kidney function hospitalized for fluid overload and/or heart failure, especially in older age and more severe kidney disease. Additionally, cardiovascular disease, diabetes, primary discharge diagnosis of fluid overload or heart failure, prior SGLT2i use, and concurrent RAS blocker at discharge were independently associated with SGLT2i prescription at discharge. Interventions are needed to increase clinicians' knowledge and overcome clinical inertia to increase SGLT2i use in patients with fluid overload and heart failure., (© 2024 The Author(s). Published by S. Karger AG, Basel.)

Background: Acute heart failure (AHF) carries a grave prognosis, marked by high readmission and mortality rates within 90 days post-discharge. This underscores the urgent need for enhanced care transitions, early monitoring, and precise interventions for at-risk individuals during this critical period., Objective: Our study aims to develop and validate an interpretable machine learning (ML) model that integrates peripheral immune cell data with conventional clinical markers. Our goal is to accurately predict 90-day readmission or mortality in patients AHF., Methods: In our study, we conducted a retrospective analysis on 1210 AHF patients, segregating them into training and external validation cohorts. Patients were categorized based on their 90-day outcomes post-discharge into groups of 'with readmission/mortality' and 'without readmission/mortality'. We developed various ML models using data from peripheral immune cells, traditional clinical indicators, or both, which were then internally validated. The feature importance of the most promising model was examined through the Shapley Additive Explanations (SHAP) method, culminating in external validation., Results: In our cohort of 1210 patients, 28.4% (344) faced readmission or mortality within 90 days post-discharge. Our study pinpointed 10 significant indicators-spanning peripheral immune cells and traditional clinical metrics-that predict these outcomes, with the support vector machine (SVM) model showing superior performance. SHAP analysis further distilled these predictors to five key determinants, including three clinical indicators and two immune cell types, essential for assessing 90-day readmission or mortality risks., Conclusion: Our analysis identified the SVM model, which merges traditional clinical indicators and peripheral immune cells, as the most effective for predicting 90-day readmission or mortality in AHF patients. This innovative approach promises to refine risk assessment and enable more targeted interventions for at-risk individuals through continuous improvement., Competing Interests: Declaration of Conflicting InterestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Aims: This study aimed to determine total and cardiovascular-specific re-hospitalisation patterns and associated costs within 2 years of index atrial fibrillation (AF) admission in Western Australia (WA)., Method: Patients aged 25-94 years, surviving an index (first-in-period) AF hospitalisation (principal diagnosis) from 2011 to 2015 were identified from WA-linked administrative data and followed for 2 years. Person-level hospitalisation costs ($ Australian dollar) were computed using the Australian Refined Diagnosis Related Groups and presented as median with first and third quartile costs., Results: The cohort comprised 17,080 patients, 59.0% men, mean age 69.6±13.3 (standard deviation) years, and 59.0% had a CHA 2 DS 2 -VA (one point for congestive heart failure, hypertension, diabetes mellitus, vascular disease or age 65-74 years; two points for prior stroke/transient ischaemic attack or age ≥75 years) score of 2 or more. Within 2 years, 13,776 patients (80.6%) were readmitted with median of 2 (1-4) readmissions. Among total all-cause readmissions (n=54,240), 40.1% were emergent and 36.6% were cardiovascular-related, led by AF (19.5%), coronary events (5.8%), and heart failure (4.2%). The median index AF admission cost was $3,264 ($2,899-$7,649) while cardiovascular readmission costs were higher, particularly stroke ($10,732 [$4,179-23,390]), AF ablation ($7,884 [$5,283-$8,878]), and heart failure ($6,759 [$6,081-$13,146]). Average readmission costs over 2 years per person increased by $4,746 (95% confidence interval [CI] $4,459-$5,033) per unit increase in baseline CHA 2 DS 2 -VA score. The average 2-year hospitalisation costs per patient, including index admission, was $27,820 (95% CI $27,308-$28,333) and total WA costs were $475.2 million between 2011 and 2017., Conclusions: Patients after index AF hospitalisation have a high risk of cardiovascular and other readmissions with considerable healthcare cost implications. Readmission costs increased progressively with baseline CHA 2 DS 2 -VA score. Better integrated management of AF and coexistent comorbidities is likely key to reducing readmissions and associated costs., Competing Interests: Conflicts of Interest There are no conflicts of interest to disclose., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)

The association between human immunodeficiency virus (HIV) status and readmissions and death outcomes in patients with established heart failure (HF) remains unclear. We conducted a systematic search of PubMed, EMBASE, Cochrane Library, and Web of Science up to March 1st, 2023, for cohort studies of adult patients (≥18 years) diagnosed with HF and recorded HIV status at baseline. Our analysis included 7 studies with 10,328 HF patients living with HIV and 48,757 HF patients without HIV. Compared to HF patients without HIV, those with HIV had a higher risk of all-cause deaths (HR: 1.20, 95% CI: 1.15-1.25). HIV infection was also associated with increased risks of HF-associated readmission (HR: 1.34, 95% CI: 1.03-1.75) and all-cause readmission (HR: 1.27, 95% CI: 1.10-1.46). Our study highlights the independent association between HIV and poor HF outcomes, emphasizing the need for improved management in individuals living with HIV., Competing Interests: Declaration of Competing Interest Dr. Neilan has been a consultant to and received fees from Bristol Myers Squibb, Genentech, CRC Oncology, Roche, Sanofi and Parexel Imaging Pharmaceuticals. Dr. Neilan also reports grant funding from Astra Zeneca and Bristol Myers Squibb related to the cardiac effects of immune checkpoint inhibitors, all outside of the current work. Dr. Zanni is Principal Investigator on an investigator-initiated research grant from Gilead to her institution, which is unrelated to this work. Other authors have no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Aims: Heart failure is a significant disease, and its high readmission rate is a big concern. We must identify readmission risk factors and optimize outpatient management to prevent them. This study aims to investigate the readmission risk factors, including outpatient management represented by the number of outpatient visits, and to identify the factors related to frequent outpatient visits., Methods and Results: We used the diagnosis-procedure-combination database between April 2016 and March 2022. Based on the number of outpatient visits within 60 days after discharge, we categorized patients into <1 visits/month, (1<, ≦2) visits/month, and <2 visits/month and observed the occurrence of 60 days readmission. We performed multiple logistic regression analyses to reveal the readmission risk factors and the association between the number of outpatient visits and readmission. As a subgroup analysis, we conducted the same research in the low- and high-readmission risk groups. We compared medical contents between (1<, ≦2) visits/month and <2 visits/month. We analysed 101 239 patients and identified the following factors as a risk of readmission: older age (P < 0.001), female (P = 0.009), longer length-of-hospital-stay (P < 0.001), artificial ventilator (P < 0.001), tolvaptan (P < 0.001), top 50% dosage of loop diuretics (P = 0.036), bottom 50% dosage of class III antiarrhythmic agents (P < 0.001), hypertension (P = 0.005), atrial fibrillation (P < 0.001), dilated cardiomyopathy (P < 0.001), valvular disease (P = 0.021), myocardial infarction (P < 0.001), diabetes (P < 0.001), and renal disease (P < 0.001). We revealed that the risk of readmission increases in <2 visits/month compared to (1<, ≦2) visits/month (P < 0.001), whereas the risk of readmission decreases in ≦1 visits/month compared with (1<, ≦2) visits/month (P < 0.001). In the subgroup analysis, we found the possibility that some risk factors are specific to the subgroup. We identified that the following factors were related to frequent outpatient visits: older age (P < 0.001), home medical care (P = 0.007), tolvaptan (P < 0.001), top 50% dosage of loop diuretics (P < 0.001), diabetes (P < 0.001), renal disease (P = 0.009), 0-2 weeks follow-up (P < 0.001), 2-4 weeks follow-up (P < 0.001), cardiac rehabilitation (P < 0.001), and echocardiography (P < 0.001)., Conclusions: This study comprehensively identified risk factors for readmission and found outpatient visit is personalized by readmission risk. There is still room to optimize outpatient management. We suggest optimizing outpatient management according to our identified characteristics., (© 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Frailty is a clinical syndrome prevalent in older adults and carries poor outcomes in patients with heart failure. We investigated the impact of frailty on left ventricular assist device (LVAD) clinical outcomes. The Nationwide Readmission Database was used to retrospectively identify patients with a primary diagnosis of heart failure who underwent LVAD implantation during their hospitalization from 2014 to 2020. Patients were categorized into frail and nonfrail groups using the Hospital Frailty Risk Score. Cox and logistic regression were used to predict the impact of frailty on inpatient mortality, 30-day readmissions, length of stay, and discharge to a skilled nursing facility. LVADs were implanted in 11,465 patients who met the inclusion criteria. There was more LVAD use in patients who were identified as frail (81.6% vs 18.4%, p <0.001). The Cox regression analyses revealed that LVAD insertion was not associated with increased inpatient mortality in frail patients (hazard ratio 1.15, 95% confidence interval 0.81 to 1.65, p = 0.427). Frail patients also did not experience a higher likelihood of readmissions within 30 days (hazard ratio 1.15, 95% confidence interval 0.91 to 1.44, p = 0.239). LVAD implantation did not result in a significant increase in inpatient mortality or readmission rates in frail patients compared with nonfrail patients. These data support continued LVAD use in this high-risk patient population., Competing Interests: Declaration of Competing Interest The authors have no competing interests to declare., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Aims: The impact of hospital volume on clinical performance has been investigated by many researchers to date and thought that it is associated with quality of care and outcome for patients with heart failure (HF). This study sought to determine whether annual admissions of HF per cardiologist are associated with process of care, mortality, and readmission., Methods and Results: Among the nationwide registry 'Japanese registry of all cardiac and vascular diseases - diagnostics procedure combination' data collected from 2012 to 2019, a total of 1 127 113 adult patients with HF and 1046 hospitals were included in the study. Primary outcome was in-hospital mortality, and secondary outcome was 30 day in-hospital mortality and readmission at 30 days and 6 months. Hospital and patient characteristics and process of care measures were also assessed. Mixed-effect logistic regression and Cox proportional-hazards model was used for multivariable analysis, and adjusted odds ratio and hazard ratio were evaluated. Process of care measures had inverse trends for annual admissions of HF per cardiologist (P < 0.01 for all measures: prescription rate of beta-blocker, angiotensin converting enzyme inhibitor or angiotensin II receptor blocker, mineralocorticoid receptor antagonist, and anticoagulant for atrial fibrillation). Adjusted odds ratio for in-hospital mortality was 1.04 (95% confidence interval (CI): 1.04-1.08, P = 0.04) and 30 day in-hospital mortality was 1.05 (95% CI: 1.01-1.09, P = 0.01) for interval of 50 annual admissions of HF per cardiologist. Adjusted hazard ratio for 30 day readmission was 1.05 (95% CI: 1.02-1.08, P < 0.01) and 6 month readmission was 1.07 (95% CI: 1.03-1.11, P < 0.01). Plots of the adjusted odds indicated 300 as the threshold of annual admissions of HF per cardiologist for substantial increase of in-hospital mortality risk., Conclusions: Our findings demonstrated that annual admissions of HF per cardiologist are associated with worse process of care, mortality, and readmission with the threshold for mortality risk increased, emphasizing the optimal proportion of patients admitted with HF to cardiologist for better clinical performance., (© 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background: Heart failure (HF) readmission rates are low in some jurisdictions. However, international comparisons are lacking and could serve as a foundation for identifying regional patient management strategies that could be shared to improve outcomes., Objectives: This study sought to summarize 30-day and 1-year all-cause readmission and mortality rates of hospitalized HF patients across countries and to explore potential differences in rates globally., Methods: We performed a systematic review and meta-analysis using MEDLINE, Embase, and CENTRAL for observational reports on hospitalized adult HF patients at risk for readmission or mortality published between January 2010 and March 2021. We conducted a meta-analysis of proportions using a random-effects model, and sources of heterogeneity were evaluated with meta-regression., Results: In total, 24 papers reporting on 30-day and 23 papers on 1-year readmission were included. Of the 1.5 million individuals at risk, 13.2% (95% CI: 10.5%-16.1%) were readmitted within 30 days and 35.7% (95% CI: 27.1%-44.9%) within 1 year. A total of 33 papers reported on 30-day and 45 papers on 1-year mortality. Of the 1.5 million individuals hospitalized for HF, 7.6% (95% CI: 6.1%-9.3%) died within 30 days and 23.3% (95% CI: 20.8%-25.9%) died within 1 year. Substantial variation in risk across countries was unexplained by countries' gross domestic product, proportion of gross domestic product spent on health care, and Gini coefficient., Conclusions: Globally, hospitalized HF patients exhibit high rates of readmission and mortality, and the variability in readmission rates was not explained by health care expenditure, risk of mortality, or comorbidities., Competing Interests: Funding Support and Author Disclosures Dr Lee is the Ted Rogers Chair in Heart Function Outcomes, University Health Network, University of Toronto. The authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2023 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Objectives: Heart failure exacerbations are a common cause of hospitalizations with a high readmission rate. There are few validated predictors of readmission after treatment for acute decompensated heart failure (ADHF). Lung ultrasound (LUS) is sensitive and specific in the assessment of pulmonary congestion; however, it is not frequently utilized to assess for congestion before discharge. This study assessed the association between number of B-lines, on LUS, at patient discharge and risk of 30-day readmission in patients hospitalized for acute decompensated heart failure (ADHF)., Methods: This was a single-center prospective study of adults admitted to a quaternary care center with a diagnosis of ADHF. At the time of discharge, the patient received an 8-zone LUS exam to evaluate for the presence of B-lines. A zone was considered positive if ≥3 B-lines was present. We assessed the risk of 30-day readmission associated with the number of lung zones positive for B-lines using a log-binomial regression model., Results: Based on data from 200 patients, the risk of 30-day readmission in patients with 2-3 positive lung zones was 1.25 times higher (95% CI: 1.08-1.45), and in patients with 4-8 positive lung zones was 1.50 times higher (95% CI: 1.23-1.82, compared with patients with 0-1 positive zones, after adjusting for discharge blood urea nitrogen, creatinine, and hemoglobin., Conclusion: Among patients admitted with ADHF, the presence of B-lines at discharge was associated with a significantly increased risk of 30-day readmission, with greater number of lung zones positive for B-lines corresponding to higher risk., (© 2023 American Institute of Ultrasound in Medicine.)

Aims: Mean arterial pressure (MAP) is widely used for evaluating organ perfusion, but its impact on clinical outcomes in patients with heart failure (HF) remains poorly understood. The aim of this study is to investigate the relationship between MAP and all-cause mortality and readmission in patients with HF., Methods and Results: We retrospectively analysed data from PhysioNet, involving 2005 patients with HF admitted to Zigong Fourth People's Hospital between 2016 and 2019. The primary outcomes were composite outcomes of all-cause mortality and readmission at 3 and 6 months. The secondary outcomes were readmission at 3 and 6 months. Multivariate-adjusted Cox regression models, restricted cubic spline curves (RCS), and propensity score matching (PSM) were used to explore the relationship between MAP and clinical outcomes. Among 2005 patients with HF [≥70 years, 1460 (72.8%); male, 843 (42.0%)], the incidence of primary outcome at 3 months was 33.4% (223/668), 24.4% (163/668), and 22.7% (152/669), and at 6 months, it was 47.5% (317/668), 38.5% (257/668), and 38.0% (254/669) across MAP tertiles [from Tertile 1 (T1) to Tertile 3 (T3)], respectively. The RCS showed an 'L-shaped' relationship between MAP and primary or secondary endpoints. Multivariate-adjusted Cox models showed that a higher MAP was significantly associated with a lower risk of composite endpoints at 3 months [adjusted hazard ratio (aHR) 0.75, 95% confidence interval (CI) 0.61-0.92, P = 0.006, Tertile 2 (T2); aHR 0.69, 95% CI 0.56-0.86, P = 0.001, T3] and 6 months (aHR 0.79, 95% CI 0.67-0.93, P = 0.005, T2; aHR 0.77, 95% CI 0.64-0.91, P = 0.003, T3) compared with T1. After 1:1 PSM, the effect of maintaining a relatively higher MAP was slightly attenuated. Threshold analyses indicated that per 10 mmHg increase in MAP, there was a 21% and 14% decrease in composite endpoints at 3 and 6 months, respectively (aHR 0.79, 95% CI 0.69-0.91, P = 0.001), and 6 months (aHR 0.86, 95% CI 0.77-0.97, P = 0.013) in patients with MAP ≤ 93 mmHg. The associations were consistent in readmission (secondary outcomes), various subgroups, and sensitivity analysis., Conclusions: A higher MAP was associated with a lower risk of a composite of all-cause mortality and readmission. Maintaining a relatively higher MAP could potentially improve the clinical prognosis for patients with HF., (© 2023 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Outcomes after hospital admission for heart failure are likely affected by cultural and ethnic factors. We obtained data from a large health system in Southeast Michigan on all patients admitted for heart failure from 2008 to 2015. Middle Eastern patients were identified through self-identification and a surname algorithm. Multivariate linear, logistic, and Cox regression models were used to evaluate length of stay and readmission rates compared to Caucasian patients. Mortality data was collected from the National Death Index. 7,784 white and 642 Middle Eastern patients were identified. Middle Eastern patients were younger, had higher rates of comorbid conditions, and had a greater mean hospital length of stay (7.96 vs 7.03 days, p = 0.015). Middle Eastern patients had similar thirty-day hospital readmission risk (4.25% vs 4.47%, p = 0.370) but greater ninety-day readmission risk (9.01% vs 8.35%, p = 0.043); after controlling for covariates these differences were not significant. Middle Eastern patients had lower mortality risk (HR = 0.79, p = 0.003). After a hospital admission for heart failure, Middle Eastern patients had longer hospital lengths of stay, similar risk of hospital readmission, but lower all-cause mortality., (© 2023. Crown.)

Introduction: Heart failure (HF) is one of the leading causes of hospitalization and death in elderly patients. However, there is limited evidence on readmission and mortality 1-year after discharge for HF., Methods: Retrospective analysis of the Minimum Basic Data Set, including HF episodes, discharged from Spanish hospitals between 2016 and 2018 in ≥ 75 years. We calculated: (a) the rate of readmissions due to circulatory system diseases (CSD) 365 days after index episode; (b) in-hospital mortality in readmissions; and (c) predictors of mortality and readmission., Results: We included 178,523 patients (59.2% women) aged 85.1 ± 5.5 years. The most frequent comorbidities were arrhythmias (56.0%) and renal failure (39.5%). During the follow-up, 48,932 patients (27.4%) had at least one readmission for CSD and a crude rate of 40.2%, the most frequent one HF (52.8%). The median between the date of readmission and discharge from the last admission was 70 days [IQI 24; 171] for the first readmission. The most relevant predictors of the number of readmissions were valvular heart disease and myocardial ischemia. During the readmissions, 26,757 patients (79.1%) died, representing a cumulative in-hospital mortality of 47,945 (26.9%). The factors in the index episode predictors of mortality during readmissions were cardio-respiratory failure and stroke. The number of readmissions was a risk factor for in-hospital mortality (OR 1.13; 95% CI 1.11-1.14)., Conclusions: The readmission rate for CSD 1-year after the index episode of HF in patients ≥ 75 years was 28.4%. The cumulative in-hospital mortality rate during the readmissions was 26.9%, and the number of rehospitalizations was identified as one of the main predictors of mortality., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

Aims: The aim of this study was to evaluate efficacy and safety of rapid up-titration of guideline-directed medical therapies (GDMT) in men and women hospitalized for acute heart failure (AHF)., Methods and Results: In STRONG-HF, AHF patients were randomized just prior to discharge to either usual care (UC) or a high-intensity care (HIC) strategy of GDMT up-titration. In these analyses, we compared the implementation, efficacy, and safety of the HIC strategy between men and women. In the randomized AHF population, 416/1078 (39%) were women. By day 90, a higher proportion of both sexes in the HIC group had been up-titrated to full doses of GDMT compared to UC. Overall, there were no differences in the primary endpoint between the sexes. The primary endpoint, 180-day heart failure readmission or death, occurred in 15.8% HIC women versus 23.5% women in the UC group (adjusted hazard ratio [HR] 0.67, 95% confidence interval [CI] 0.40-1.13) and in 14.9% HIC men versus 23.5% UC men (adjusted HR 0.57, 95% CI 0.38-0.88) (adjusted interaction p = 0.65). There was no significant treatment-by-sex interaction in quality-of-life improvement or in adverse events, including serious or fatal adverse events., Conclusion: The results of the current analyses suggest that a rapid up-titration of GDMT immediately after an AHF hospitalization can and should be implemented similarly in men and women, as it results in reduction of 180-day all-cause death or heart failure readmission, quality-of-life improvement in both men and women with a similar safety profile., (© 2023 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Aims: STRONG-HF examined a high-intensity care (HIC) strategy of rapid up-titration of guideline-directed medical therapy (GDMT) and close follow-up after acute heart failure (AHF) admission. We assess the role of age on efficacy and safety of HIC., Methods and Results: Hospitalized AHF patients, not treated with optimal GDMT were randomized to HIC or usual care. The primary endpoint of 180-day death or HF readmission occurred equally in older (>65 years, n = 493, 74 ± 5 years) and younger patients (53 ± 11 years, adjusted hazard ratio [aHR] 1.02, 95% confidence interval [CI] 0.73-1.43, p = 0.89). Older patients received slightly lower GDMT to day 21, but same doses at day 90 and 180. The effect of HIC on the primary endpoint was numerically higher in younger (aHR 0.51, 95% CI 0.32-0.82) than older patients (aHR 0.73, 95% CI 0.46-1.15, adjusted interaction p = 0.30), partially related to COVID-19 deaths. After exclusion of COVID-19 deaths, the effect of HIC was similar in younger (aHR 0.51, 95% CI 0.32-0.82) and older patients (aHR 0.63, 95% CI 0.32-1.02, adjusted interaction p = 0.56), with no treatment-by-age interaction (interaction p = 0.57). HIC induced larger improvements in quality of life to day 90 in younger (EQ-VAS adjusted-mean difference 5.51, 95% CI 3.20-7.82) than in older patients (1.77, 95% CI -0.75 to 4.29, interaction p = 0.032). HIC was associated with similar rates of adverse events in older and younger patients., Conclusion: High-intensity care after AHF was safe and resulted in a significant reduction of all-cause death or HF readmission at 180 days across the study age spectrum. Older patients have smaller benefits in terms of quality of life., (© 2023 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background: Exercise intolerance in patients with heart failure (HF) increases HF-associated readmission, and right ventricular (RV) contractile reserve assessed by low-load exercise stress echocardiography (ESE) is associated with exercise intolerance. This study investigated the impact of RV contractile reserve evaluated by low-load ESE on HF readmission., Methods: We prospectively examined 81 consecutive patients hospitalized for HF who underwent low-load ESE under a stabilized HF condition between May 2018 and September 2020. We performed a 25-W low-load ESE and defined RV contractile reserve as the increment in RV systolic velocity (RV s'). The primary outcome was hospital readmission. Incremental values of the change in RV s' over a readmission risk (RR) score were analyzed using the receiver operating characteristic (ROC) area under the curve; internal validation using bootstrapping was performed. The association between RV contractile reserve and HF readmission was illustrated with the Kaplan-Meier curve., Results: Eighteen (22 %) patients were readmitted due to worsening HF during the observation period (median 15.6 months). The cut-off value of 0.68 cm/s for the change in RV s' to predict HF readmission with the ROC curve analysis indicated good sensitivity (100 %) and specificity (76.2 %). The discriminatory ability for HF readmission was significantly improved by adding the change in RV s' to the RR score (p = 0.006), and the c-statistic using the bootstrap method was 0.92. The cumulative survival rate free of HF readmission was significantly lower in patients with reduced-RV contractile reserve (log-rank test, p < 0.001)., Conclusions: The change in RV s' during low-load exercise had an incremental prognostic value for predicting HF readmission. The results demonstrated the loss of RV contractile reserve assessed by low-load ESE was associated with HF readmission., Competing Interests: Declaration of competing interest The authors declared no conflict of interest., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Aim: To estimate the effect size of distance education on the readmission of patients with heart failure., Design: This study was a systematic review and meta-analysis., Method: Both Persian and English interventional studies focused on investigating the effectiveness of any form of distance education interventions on the readmission of patients with heart failure were retrieved from the main databases: Embase, PubMed, Scopus, Web of Science, SID, and Google Scholar. Two independent teams screened the articles for eligibility. The Cochrane Risk of bias tool was implemented to evaluate the studies' quality. A random-effects model was applied to pool the effect sizes, I 2 was calculated to examine heterogeneity, and Meta-regression was used to investigate the source of heterogeneity. The proposal was registered in the PROSPERO database (no. CRD42020187453)., Results: Articles 8836 were retrieved, and 11 articles were selected. Nine studies investigated the effect of distance education on readmission with <12-month follow-up (RR: 0.78 [95% CI 0.67-0.92]) and the I 2 of 0.00%; and four studies examined the effect of distance intervention on readmission with 12-month or more follow-up (RR: 0.89 [95% CI 0.73-1.09]) and the I 2 of 71.59%., (© 2023 The Authors. Nursing Open published by John Wiley & Sons Ltd.)

Background: Heart failure is common and is associated with high rates of hospitalization. Home care support clinics/hospitals (HCSCs) and enhanced HCSCs were introduced in Japan in 2006 and 2012, respectively., Objective: This study aimed to examine the effect of post-discharge care by conventional or enhanced HCSCs on readmission, compared with general clinics., Design: Retrospective cohort study using the Japanese nationwide health insurance claims database., Participants: Participants were ≥65 years of age, admitted for heart failure and discharged between July 2014 and August 2015 and received a home visit within a month following the discharge (n=12,393)., Main Measures: The exposure was the type of medical facility that provides post-discharge home healthcare: general clinics, conventional HCSCs, and enhanced HCSCs. The primary outcome was all-cause readmission for 6 months after the first visit; the incidence of emergency house calls was a secondary outcome. We used a competing risk regression using the Fine and Gray method, in which death was regarded as a competing event., Key Results: At 6 months, readmissions were lower in conventional (38%) or enhanced HCSCs (38%) than general clinics (43%). The adjusted subdistribution hazard ratio (sHR) of readmission was 0.87 (95% CI: 0.78-0.96) for conventional and 0.86 (0.78-0.96) for enhanced HCSCs. Emergency house calls increased with conventional (sHR: 1.77, 95% CI:1.57-2.00) and enhanced HCSCs (sHR: 1.93, 95% CI: 1.71-2.17)., Conclusions: Older Japanese patients with heart failure receiving post-discharge home healthcare by conventional or enhanced HCSCs had lower readmission rates, possibly due to compensation with more emergency house calls. Conventional and enhanced HCSCs may be effective in reducing the risk of rehospitalization. Further studies are necessary to confirm the medical functions performed by HCSCs., (© 2023. The Author(s), under exclusive licence to Society of General Internal Medicine.)

Background: Prior studies have reported a high rate of unplanned readmissions following acute percutaneous coronary intervention (PCI). Data outside the USA comparing 30-day unplanned readmissions following elective PCI to those who undergo acute PCI remain limited., Methods: Patients who underwent a PCI procedure in Australia and New Zealand between 2010 and 2015 were included. We determined the rates, causes and predictors of 30-day unplanned readmissions, as well as rates of repeat revascularisation procedures, for patients who underwent an elective or acute PCI. Predictors of readmissions were identified using logistic regression., Results: A total of 199,686 PCI encounters were included, of which 74,890 (37.5%) were elective and 124,796 (62.5%) were acute procedures. Overall, 10.6% of patients had at least one unplanned readmission within 30 days of discharge with lower rates following elective PCI (7.0%) compared to acute PCI (12.7%) (p<0.01). Non-specific chest pain was the commonest cause of readmission after elective and acute PCI, accounting for 20.7% and 21.5% of readmission diagnoses, respectively. Readmissions for acute myocardial infarction (13.0% vs 4.6%, p<0.01) and heart failure (6.5% vs 3.3%, p<0.01) were higher following acute PCI compared to elective PCI. Among readmitted patients, 16.7% had a coronary catheterisation, 12.2% had a PCI and 0.7% had coronary artery bypass surgery. Multivariable predictors of 30-day unplanned readmission included female sex and comorbidities such as heart failure, metastatic disease, chronic lung disease and renal failure (p<0.0001 for all)., Conclusions: Unplanned readmissions following elective or acute PCI are high. Clinical and quality-control measures are required to prevent avoidable readmissions in both settings., (Copyright © 2023 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

The Short Physical Performance Battery (SPPB) is a well-established tool to assess the lower extremity physical performance status. The purpose of this study is to examine the impact of brain natriuretic peptide (BNP) levels and SPPB scores on short-term readmission in older patients with heart failure (HF). This prospective cohort study enrolled 325 patients with HF who were hospitalized for acute decompensated HF between November 2017 and December 2021. Variables were analyzed using the Cox proportional hazards model, receiver operating characteristic (ROC) curve, and Kaplan-Meier analysis. The 107 patients who met the inclusion criteria were divided into readmission (within 90 days of discharge; n = 25) and non-readmission (n = 82) groups. Multivariate analysis revealed that BNP level and SPPB score were independent risk factors for readmission within 90 days after discharge. Patients were classified into three groups according to the BNP and SPPB cutoff values calculated using ROC curves. The risk of readmission was significantly higher in Group 3 (BNP ≥ 384 pg/mL and SPPB ≤ 7 points) than in Group 1 (BNP < 384 pg/mL and SPPB > 7 points; hazard ratio: 27.68, 95% confidence interval: 3.672 - 208.700, P = 0.0012). Our study showed that HF patients with high BNP levels and low SPPB scores have a dramatically increased risk of readmission within 90 days of discharge., (© 2022. Springer Japan KK, part of Springer Nature.)

Blood potassium levels are associated with adverse outcomes in patients with congestive heart failure (HF). However, it is unclear whether there are differences in outcome events in elderly patients with different blood potassium levels at the time of emergency readmission within 1 year. This study used data from patients hospitalized with HF, integrating electronic medical records from the PhysioNet restricted health data database and external outcome data. We conducted a retrospective study of HF patients aged 60 years and older, using baseline data, comorbidities, laboratory tests, and medication use as covariates to analyze the effect of serum potassium levels on outcome events, with the primary outcome being readmission within 1 year. A priori was used to calculate the sample size, and this retrospective cohort study included a total of 788 elderly HF patients, of whom 20.3% had hypokalaemia (K +  < 3.5 mmol/L) and 14.7% had hyperkalemia (K +  > 4.7 mmol/L). According to a multivariate Cox regression model, patients with hyperkalemia had a shorter time interval between readmissions within 1 year, with a hazard ratio (HR) and its 95% CI of 1.134 (1.006-1.279). Three models were used to analyze patients with different blood potassium levels and, after correction, the high potassium group was at high risk relative to the low and normal groups, with significant differences in outcome events, with HRs and their 95% CI of 1.266 (1.03-1.557), 1.245 (1.01-1.534), and 1.439 (1.142-1.812), respectively. The robustness of the model was also demonstrated by competing risk models with subgroup analysis, showing that blood potassium levels had a stable effect on outcome events and were not altered by covariates (age, sex, diabetes, chronic kidney disease, NT-proBNP, high-sensitivity troponin, and glomerular filtration rate). The results show that high blood potassium levels are associated with the outcome event of readmission within 1 year in elderly patients with HF. Blood potassium levels at the time of the first hospitalization may therefore be a valuable predictor., (© 2022. Springer Japan KK, part of Springer Nature.)

Background: Accumulating evidence suggests that HbA1c levels, a common clinical indicator of chronic glucose metabolism over the preceding 2-3 months, are independent risk factors for cardiovascular disease, including heart failure. However, conflicting evidence obscures clear cutoffs of HbA1c levels in various heart failure populations. The aim of this review is to assess the possible predictive value and optimal range of HbA1c on mortality and readmission in patients with heart failure., Methods: A systematic and comprehensive search will be performed using PubMed, Embase, CINAHL, Scopus, and the Cochrane Library databases before December 2022 to identify relevant studies. All-cause mortality is the prespecified primary endpoint. Cardiovascular death and heart failure readmission are secondary endpoints of interest. We will only include prospective and retrospective cohort studies and place no restrictions on the language, race, region, or publication period. The ROBINS-I tool will be used to assess the quality of each included research. If there were sufficient studies, we will conduct a meta-analysis with pooled relative risks and corresponding 95% confidence intervals to evaluate the possible predictive value of HbA1c for mortality and readmission. Otherwise, we will undertake a narrative synthesis. Heterogeneity and publication bias will be assessed. If heterogeneity was significant among included studies, a sensitivity analysis or subgroup analysis will be used to explore the source of heterogeneity, such as diverse types of heart failure or patients with diabetes and non-diabetes. Additionally, we will conduct meta-regression to examine the time-effect and treatment-effect modifiers on all-cause mortality compared between different quantile of HbA1c levels. Finally, a restricted cubic spline model may be used to explore the dose-response relationship between HbA1c and adverse outcomes., Discussion: This planned analysis is anticipated to identify the predictive value of HbA1c for mortality and readmission in patients with heart failure. Improved understanding of different HbA1c levels and their specific effect on diverse types of heart failure or patients with diabetes and non-diabetes is expected to be figured out. Importantly, a dose-response relationship or optimal range of HbA1c will be determined to instruct clinicians and patients., Systematic Review Registration: PROSPERO registration details: CRD42021276067., (© 2023. The Author(s).)

Aims: The aim of this study was to assess the performance of these main scores in predicting prognosis in patients with heart failure (HF)., Methods and Results: A total of 2008 patients who were admitted to the Fourth People's Hospital of Zigong, Sichuan, from December 2016 to June 2019 and diagnosed with HF were included in the study. We compared the prognostic predictive performance of Seattle Heart Failure Model (SHFM), Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC-HF) risk score, Get With the Guidelines-Heart Failure programme (GWTG-HF), Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure (ASCEND) risk scores, the Acute Decompensated Heart Failure National Registry (ADHERE) model, Barcelona Bio-Heart Failure (BCN-Bio-HF) risk calculator, and Gruppo Italiano per lo Studio della Streptochinasi nell'Infarto Miocardico-Heart Failure (GISSI-HF) for the endpoints. The primary endpoint was 1 year all-cause mortality and the secondary endpoint was the incidence of 28 day readmission post-discharge. At 1 year follow-up, 44 (2.21%) patients with HF died. Discrimination analyses showed that all risk scores performed reasonably well in predicting 1 year mortality, with areas under the receiver operating characteristic curve (AUCs) fluctuating between 0.757 and 0.822. GISSI-HF showed the best discrimination with the AUC of 0.822 (0.768-0.876), followed by MAGGIC-HF, BCN-Bio-HF, ASCEND, SHFM, GWTG-HF, and ADHERE with AUCs of 0.819 (0.756-0.883), 0.812 (0.758-0.865), 0.802 (0.742-0.862), 0.787 (0.725-0.849), 0.762 (0.684-0.840), and 0.757 (0.681-0.833), respectively. All risk scores were similarly predictive of 28 day emergency readmissions, with AUCs fluctuating between 0.609 and 0.680. Overestimation of mortality occurred in all scores except the ASCEND. The risk scores remained with good prognostic discrimination in patients with biventricular HF and in the subgroup of patients taking angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker., Conclusions: Currently assessed risk scores have limited clinical utility, with fair accuracy and calibration in assessing patients' 1 year risk of death and poor accuracy in assessing patients' risk of readmission. There is a need to incorporate more patient-level information, use more advanced technologies, and develop models for different subgroups of patients to achieve more practical, innovative, and accurate risk assessment tools., (© 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Heart failure is a major disease, and its 30-day readmission (readmission within 30-day after discharge) negatively impacts patients and society. Thus, we need to stratify the risk and prevent readmission. We aimed to investigate risk factors associated with 30-day readmission and examine the impact of length of hospital stay (LOS) on 30-day readmission. Using the Diagnosis-Procedure-Combination database from April 2018 to March 2021, we conducted multiple logistic regression to investigate risk factors with 30-day readmission. Also, we conducted subgroup analysis in the short LOS group. To examine the association between LOS and 30-day readmission, we performed propensity score matching between the short and middle LOS groups. As a result, we categorized 10,283 patients and 169,842 patients into the readmission group and the no-readmission group. We identified the following factors as the risk of readmission: short LOS, female, smoking, older age, lower body mass index, lower barthel index, artificial ventilator, beta-blockers, thiazides, tolvaptan, loop diuretics, carperitides, class Ⅲ antiarrhythmic agents, myocardial infarction, diabetes, renal disease, atrial fibrillation, dilated cardiomyopathy, and discharge to home. As a subgroup analysis in the short LOS group, we revealed that the short LOS group risk factors differed from overall. After propensity score matching in the short LOS group and middle LOS group, 37,199 pairs were matched, and we revealed that shorter LOS increases the risk of readmission. These results demonstrated that shortened LOS increases 30-day readmission, and risk factors are unique to each LOS. We suggest stratifying the readmission risk and being careful with early discharge.

Background: Readmissions within 30 days after heart failure (HF) hospitalisation is considered an important healthcare quality metric, but their impact on medium-term mortality is unclear within an Australian setting. We determined the frequency, risk predictors and relative mortality risk of 30-day unplanned readmission in patients following an incident HF hospitalisation., Methods: From the Western Australian Hospitalisation Morbidity Data Collection we identified patients aged 25-94 years with an incident (first-ever) HF hospitalisation as a principal diagnosis between 2001 and 2015, and who survived to 30-days post discharge. Unplanned 30-day readmissions were categorised by principal diagnosis. Logistic and Cox regression analysis determined the independent predictors of unplanned readmissions in 30-day survivors and the multivariable-adjusted hazard ratio (HR) of readmission on mortality within the subsequent year., Results: The cohort comprised 18,241 patients, mean age 74.3 ± 13.6 (SD) years, 53.5% males, and one-third had a modified Charlson Comorbidity Index score of ≥ 3. Among 30-day survivors, 15.5% experienced one or more unplanned 30-day readmission, of which 53.9% were due to cardiovascular causes; predominantly HF (31.4%). The unadjusted 1-year mortality was 15.9%, and the adjusted mortality HR in patients with 1 and ≥ 2 cardiovascular or non-cardiovascular readmissions (versus none) was 1.96 (95% confidence interval (CI) 1.80-2.14) and 3.04 (95% CI, 2.51-3.68) respectively. Coexistent comorbidities, including ischaemic heart disease/myocardial infarction, peripheral arterial disease, pneumonia, chronic kidney disease, and anaemia, were independent predictors of both 30-day unplanned readmission and 1-year mortality., Conclusion: Unplanned 30-day readmissions and medium-term mortality remain high among patients who survived to 30 days after incident HF hospitalisation. Any cardiovascular or non-cardiovascular readmission was associated with a two to three-fold higher adjusted HR for death over the following year, and various coexistent comorbidities were important associates of readmission and mortality risk. Our findings support the need to optimize multidisciplinary HF and multimorbidity management to potentially reduce repeat hospitalisation and improve survival., (© 2023. The Author(s).)

Background: The readmission rate of heart failure (HF) patients has not decreased during the past few years., Objectives: The purpose of this study was to examine whether factors such as left ventricular ejection fraction (LVEF) and frailty are associated with readmission and number of readmissions in HF patients., Methods: First, a propensity score matching method was used to adjust for confounding factors for readmission. Cox regression analysis was conducted to determine the factors that influenced readmission. Finally, multiple regression analysis was conducted to determine the factors that influenced the number of readmissions. The independent variables were basic and medical information, physical structure, physical functions, and activity for both Cox regression analysis and multiple regression analysis., Results: After matching based on the propensity score, 18 out of 18 (100.0%) patients in the readmission group (age: 85.0 ± 6.9 years, female rate: 50.0%, body mass index: 21.7 ± 3.4 kg/m 2 ) and 18 out of 51 (35.3%) patients in the nonreadmission group (age: 84.3 ± 8.6, female rate: 50.0%, body mass index: 21.8 ± 4.5 kg/m 2 ) were eligible for analysis. Cox regression analysis (hazard ratios) showed that sex (0.16), geriatric nutritional risk index (1.02), and degree of frailty (11.44) were extracted as significant factors. Multiple regression analysis (standardized regression coefficients) showed that the estimated glomerular filtration rate (-0.40), LVEF (-0.32), and degree of frailty (0.29) were extracted as significant factors., Conclusion: Our results suggest that frailty is important to reduce the readmission rate and number of readmissions of the acute HF patients., Competing Interests: Declarations of Competing Interest None., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: Heart failure (HF) has a 2% prevalence in the population and is a major cause of morbidity and mortality. Multiple efforts have been made worldwide to improve quality of care and decrease unplanned readmissions for HF patients, one of which has been the introduction of specialist HF nurses (HFN) in primary health care. The present evidence on the benefits of HFN is contradicting. This study aims to evaluate the impact of a quality improvement intervention, availability of a HFN in Swedish primary care, on hospital readmissions., Methods: All patients over the age of 65 with a HF diagnosis and with complete information on availability of a HFN were included in this retrospective register-based study. Using propensity score matching (PSM) techniques, two comparable groups of 128 patients each were created according to the exposure status, availability or no availability of a HFN. The rate of readmission was compared between the groups., Results: Using PSM, 256 patients were matched, 128 in the HFN group and 128 in the no-HFN group. A total of 50% and 46.09% of patients in the HFN and no-HFN groups were readmitted, respectively. Mean number of readmissions per patient was 1.19 (SD 0.61) in the HFN group and 1.10 (SD 0.44) in the no-HFN group. Patients in the HFN had 17.6% higher odds of being readmitted during the study period, OR: 1.176 (CI: 0.716-1.932), and 3.8% lower odds of being readmitted within 30 days, OR: 0.962 (CI: 0.528-1.750)., Conclusions: Availability of a HFN in primary care was not significantly associated with reduced readmissions for the patients included in this study. Further investigations are warranted looking at the impacts of availability and access to a HFN in primary care on readmissions and other patient outcomes.

Introduction: The use of intracardiac echocardiography (ICE) is beneficial during the ablation of atrial fibrillation (AF). Evidence is conflicting regarding the clinical impact of using ICE on arrhythmia recurrence and mortality., Methods: Patients undergoing catheter ablation of AF during 2010-2017 were identified using the International Classification of Diseases-9th and 10th Revision-Clinical Modification (ICD-9-CM and ICD-10-CM) from the Nationwide Readmissions Database. Propensity matching was used to generate a control group. Patient demographics, Charlson comorbidity indexes, time from discharge to readmission, and the reason of readmission were extracted., Results: From 2010 to 2017, 51 129 patients were included in the analysis out of which ICE was used in 8005 (15.7%) patients. The in-hospital mortality at readmission was significantly higher in the patients without ICE use (2.9% vs. 1.7%, p = .02). The length of stay (LOS) at readmission was significantly higher in non-ICE arm (median [interquartile range, IQR]: 3 [2-6] vs. 2 [3-5] days, p < .0001) with similar healthcare-associated cost (HAC) in both the groups (median [IQR]: US$7507.3 [4057.8-15 474.2] vs. 7339.4 [4024.8-15 191.6], p = .43). Freedom from readmission was 12% higher (hazard ratio [HR] [95% confidence interval, CI]: 0.88 [0.83-0.94], p < .0001) with the use of ICE at 90-day follow-up, which was driven by 24% reduction in heart failure (HF) at follow-up (HR [95% CI]: 0.76 [0.60-0.96], p = .02)., Conclusions: ICE use during AF ablation procedure reduces readmissions at 90 days by 12%, driven by a 24% decrease in HF-related admissions. The non-ICE arm showed a significantly higher LOS which offsets marginally higher HAC in the ICE arm., (© 2022 Wiley Periodicals LLC.)

Aims: Malnutrition is common in patients with heart failure (HF) and is associated with poorer quality of life and increased mortality; however, an effective screening tool for malnutrition and its impact on the readmission of patients with HF is uncertain. Our objectives were to study (i) the nutritional status of Chinese hospitalized patients with HF and its impact on readmission and (ii) the validity of seven malnutrition screening tools., Methods and Results: In this study, univariate and multivariate analyses of Cox proportional hazards regression were used to determine important predictors of readmission. The endpoint was readmission due to HF or non-HF. A total of 402 patients were included (66.4% male, median age 62 years [range: 20-92 years], median NT-proBNP 5,229 ng/L). During a median follow-up of 159 days, 150 patients (37%) were readmitted to the hospital. After adjusting for confounders, only malnutrition assessed using the Controlling Nutritional Status (CONUT) nutrition score was independently associated with readmission (P = 0.0293). A base model for predicting readmission with a C-statistic of 0.680 and subsequent addition of various nutritional screening tools improved its performance over the base model. Patients with malnutrition had a twofold increased risk of readmission., Conclusions: We found that the prevalence of malnutrition among hospitalized patients with HF in China is very high and that malnutrition significantly increases the risk of readmission in these patients. CONUT is a validated screening tool for malnutrition and may provide valuable prognostic information., (© 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Background: Heart failure is the leading cause of hospitalization in the elderly and readmission is common. Clinical indicators of congestion may not precede acute congestion with enough time to prevent hospital admission for heart failure. Thus, there is a large and unmet need for accurate, noninvasive assessment of congestion. Noninvasive venous waveform analysis in heart failure (NIVA HF ) is a novel, noninvasive technology that monitors intravascular volume status and hemodynamic congestion. The objective of this study was to determine the correlation of NIVA HF with pulmonary capillary wedge pressure (PCWP) and the ability of NIVA HF to predict 30-day admission after right heart catheterization., Methods and Results: The prototype NIVA HF device was compared with the PCWP in 106 patients undergoing right heart catheterization. The NIVA HF algorithm was developed and trained to estimate the PCWP. NIVA scores and central hemodynamic parameters (PCWP, pulmonary artery diastolic pressure, and cardiac output) were evaluated in 84 patients undergoing outpatient right heart catheterization. Receiver operating characteristic curves were used to determine whether a NIVA score predicted 30-day hospital admission. The NIVA score demonstrated a positive correlation with PCWP (r = 0.92, n = 106, P < .0001). The NIVA score at the time of hospital discharge predicted 30-day admission with an AUC of 0.84, a NIVA score of more than 18 predicted admission with a sensitivity of 91% and specificity of 56%. Residual analysis suggested that no single patient demographic confounded the predictive accuracy of the NIVA score., Conclusions: The NIVA HF score is a noninvasive monitoring technology that is designed to provide an estimate of PCWP. A NIVA score of more than 18 indicated an increased risk for 30-day hospital admission. This noninvasive measurement has the potential for guiding decongestive therapy and the prevention of hospital admission in patients with heart failure., (Published by Elsevier Inc.)