A meta-analysis of effectiveness of mobile health interventions on health-related outcomes in patients with heart failure.

AIMS: To systematically evaluate the effectiveness of mobile health (mHealth) interventions on medication adherence in patients with heart failure. METHODS: The literature search was conducted in PubMed, Web of Science, the Cochrane Library databases, Embase, China National Knowledge Infrastructure (CNKI), Wanfang Database and China Scientific Journal Database (VIP). The retrieval period was from the establishment of the database to May 2023. The included studies were trials to explore the effectiveness of mHealth interventions on medication adherence in patients with heart failure. Cochrane collaboration's tool was used for assessing risk of bias in randomized controlled trials. Stata 17.0 software was used to conduct data analysis. Continuous data were expressed as standard mean differences, and dichotomous data were expressed as relative risks with 95% confidence intervals (CIs). RESULTS: A total of 13 studies and 2534 participants were included. One study was rated as Grade A, and the other 12 studies were Grade B. The results of meta-analysis indicate that mHealth interventions are effective in improving medication adherence [relative risk (RR) = 1.26, 95% CI 1.10-1.44, P < 0.05 and standard mean difference = 0.80, 95% CI 0.44-1.15, P < 0.05], and reducing readmission rates (RR = 0.63, 95% CI 0.53-0.76, P < 0.05) and mortality (RR = 0.63, 95% CI 0.43-0.94, P < 0.05) of patients with heart failure. CONCLUSION: mHealth interventions are beneficial to improve medication adherence in patients with heart failure, and could effectively reduce the readmission rates and mortality of patients in the studies. There is a need to continuously improve the professional abilities of intervention personnel, carry out teamwork, and extend intervention and follow-up time. Convenient, fast and low-cost mobile medical devices should be adopted to reduce the cost of medical treatment. Scientific and reasonable intervention content will be formulated according to evidence-based guidelines and theoretical basis to enhance patients' ability at self-management and understanding of heart failure knowledge.

Intra-operative Risk Factors Affecting Mortality after Heart Transplantation: A Referral Center Experience in Iran.

Background: Heart transplantation is the preferred treatment for end-stage heart failure. This study investigated the intra-operative risk factors affecting post-transplantation mortality. Methods: This single-center retrospective cohort study examined 239 heart transplant patients over eight years, from 2011-2019, at the oldest dedicated cardiovascular center, Shahid Rajaee Hospital (Tehran, Iran). The primary evaluated clinical outcomes were rejection, readmission, and mortality one month and one year after transplantation. For data analysis, univariate logistic regression analyses were conducted. Results: In this study, 107 patients (43.2%) were adults, and 132 patients (56.8%) were children. Notably, reoperation due to bleeding was a significant predictor of one-month mortality in both children (OR=7.47, P=0.006) and adults (OR=172.12, P<0.001). Moreover, the need for defibrillation significantly increased the risk of one-month mortality in both groups (children: OR=38.00, P<0.001; adults: OR=172.12, P<0.001). Interestingly, readmission had a protective effect against one-month mortality in both children (OR=0.02, P<0.001) and adults (OR=0.004, P<0.001). Regarding one-year mortality, the use of extracorporeal membrane oxygenation (ECMO) was associated with a higher risk in both children (OR=7.64, P=0.001) and adults (OR=12.10, P<0.001). For children, reoperation due to postoperative hemorrhage also increased the risk (OR=5.14, P=0.020), while defibrillation was a significant risk factor in both children and adults (children: OR=22.00, P<0.001; adults: OR=172.12, P<0.001). The median post-surgery survival was 22 months for children and 24 months for adults. Conclusion: There was no correlation between sex and poorer outcomes. Mortality at one month and one year after transplantation was associated with the following risk factors: the use of ECMO, reoperation for bleeding, defibrillation following cross-clamp removal, and Intensive Care Unit (ICU) stay. Readmission, on the other hand, had a weak protective effect.

Single center outcomes after temporary mechanical circulatory assist device prior to Heartmate 3 implantation - a retrospective cohort study.

Objectives. Temporary mechanical circulatory support (TMCS) has become a component in the therapeutic strategy for treatment of cardiogenic shock as a bridge-to-decision. TMCS can facilitate recovery of cardiopulmonary function, end-organ function, and potentially reduce the surgical risk of left ventricular assist device (LVAD) implantation. Despite the improvements of hemodynamics and end-organ function, post-LVAD operative morbidity might be increased in these high-risk patients. The aim of the study was to compare outcomes after Heartmate 3 (HM3) implantation in patients with and without TMCS prior to HM3 implant. Methods. In this retrospective cohort study of all HM3 patients in the period between November 2015 and October 2021, patients with and without prior TMCS were compared. Patients' demographics, baseline clinical characteristics, laboratory tests, intraoperative variables, postoperative outcomes, and adverse events were collected from patient records. Results. The TMCS group showed an improvement in hemodynamics prior to LVAD implantation. Median TMCS duration was 19.5 (14-26) days. However, the TMCS group were more coagulopathic, had more wound infections, neurological complications, and more patients were on dialysis compared with patient without TMCS prior to HM3 implantation. Survival four years after HM3 implantation was 80 and 82% in the TMCS (N = 22) and non-TMCS group (N = 41), respectively. Conclusion. Patients on TMCS had an acceptable short and long-term survival and comparable to patients receiving HM3 without prior TMCS. However, they had a more complicated postoperative course.

Effectiveness of Sodium-Glucose Cotransporter 2 Inhibitors in Patients With Acute Myocardial Infarction With or Without Type 2 Diabetes: A Systematic Review and Meta-analysis.

ABSTRACT: Recent studies have revealed the benefits of sodium-glucose cotransporter 2 inhibitors (SGLT2i) in heart failure patients. However, their effects on acute myocardial infarction (AMI) remain uncertain. Therefore, we conducted this meta-analysis to assess the effectiveness of SGLT2i in patients with AMI with or without diabetes. We conducted a comprehensive search of PubMed, Embase, and Cochrane Library encompassing data from inception until November 30, 2023. Relevant studies comparing SGLT2i with placebo or non-SGLT2i in patients with AMI were included. The mean difference and/or odds ratio (OR) with 95% confidence intervals were pooled using a fixed-effects model when the heterogeneity statistic (I2) was less than 50%; otherwise, a random-effects model was employed. Four randomized controlled trials and 4 observational studies involving 9397 patients with AMI were included in this meta-analysis. Patients treated with SGLT2i exhibited a significantly lower rate of hospitalization for heart failure (OR = 0.50, 95% CI: 0.32-0.80) and all-cause death (OR = 0.65, 95% CI: 0.44-0.95) compared with those treated with placebo or non-SGLT2i. Furthermore, the use of SGLT2i was associated with a significant increase in left ventricular ejection fraction (mean difference = 1.90, 95% CI: 1.62-2.17) and a greater reduction of N-terminal prohormone of brain natriuretic peptide (OR = 0.88, 95% CI 0.82-0.94). Subgroup analysis revealed that in patients with diabetes, SGLT2i exhibited similar effects. The present meta-analysis provided evidence indicating the effectiveness of SGLT2i in patients with AMI; SGLT2i may serve as an additional therapeutic option for patients with AMI, regardless of the presence or absence of diabetes.

Artificial Intelligence-Based Electrocardiographic Biomarker for Outcome Prediction in Patients With Acute Heart Failure: Prospective Cohort Study.

BACKGROUND: Although several biomarkers exist for patients with heart failure (HF), their use in routine clinical practice is often constrained by high costs and limited availability. OBJECTIVE: We examined the utility of an artificial intelligence (AI) algorithm that analyzes printed electrocardiograms (ECGs) for outcome prediction in patients with acute HF. METHODS: We retrospectively analyzed prospectively collected data of patients with acute HF at two tertiary centers in Korea. Baseline ECGs were analyzed using a deep-learning system called Quantitative ECG (QCG), which was trained to detect several urgent clinical conditions, including shock, cardiac arrest, and reduced left ventricular ejection fraction (LVEF). RESULTS: Among the 1254 patients enrolled, in-hospital cardiac death occurred in 53 (4.2%) patients, and the QCG score for critical events (QCG-Critical) was significantly higher in these patients than in survivors (mean 0.57, SD 0.23 vs mean 0.29, SD 0.20; P<.001). The QCG-Critical score was an independent predictor of in-hospital cardiac death after adjustment for age, sex, comorbidities, HF etiology/type, atrial fibrillation, and QRS widening (adjusted odds ratio [OR] 1.68, 95% CI 1.47-1.92 per 0.1 increase; P<.001), and remained a significant predictor after additional adjustments for echocardiographic LVEF and N-terminal prohormone of brain natriuretic peptide level (adjusted OR 1.59, 95% CI 1.36-1.87 per 0.1 increase; P<.001). During long-term follow-up, patients with higher QCG-Critical scores (>0.5) had higher mortality rates than those with low QCG-Critical scores (<0.25) (adjusted hazard ratio 2.69, 95% CI 2.14-3.38; P<.001). CONCLUSIONS: Predicting outcomes in patients with acute HF using the QCG-Critical score is feasible, indicating that this AI-based ECG score may be a novel biomarker for these patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT01389843; https://clinicaltrials.gov/study/NCT01389843.

The inverted U-shaped association between blood fibrinogen and rehospitalization risk in patients with heart failure.

Fibrinogen, a biomarker of thrombosis and inflammation, is related to a high risk for cardiovascular diseases. However, studies on the prognostic value of blood fibrinogen concentrations for heart failure (HF) patients are few and controversial. We performed a retrospective analysis among acute or deteriorating chronic HF patients admitted to a hospital in Sichuan, China, between 2016 and 2019, integrating electronic health care records and external outcome data (N = 1532). During 6 months of follow-up, 579 HF patients were readmitted within 6 months, and 46 of them died. Surprisingly, we found an inverted U-shaped association of blood fibrinogen levels with risk of readmission within 6 months but not with risk of death within 6 months. It was found that HF patients had the highest risk for readmission within 6 months after reaching the turning point for blood fibrinogen (2.4 g/L). In HF patients with low fibrinogen levels < 2.4 g/L, elevated fibrinogen concentrations were still significantly associated with a higher risk for readmission within 6 months [OR = 2.3, 95% CI (1.2, 4.6); P = 0.014] after controlling for relevant covariates. There was no significant association between blood fibrinogen and readmission within 6 months [(OR = 1.0, 95% CI (0.9, 1.1); P = 0.675] in HF patients with high fibrinogen (> 2.4 g/L). The effect difference for the two subgroups was significant (P = 0.014). However, we did not observe any association between blood fibrinogen and death within 6 months stratified by the turning point, and the effect difference for the stratification was not significant (P = 0.380). We observed an inverted U-shaped association between blood fibrinogen and rehospitalization risk in HF patients for the first time. Additionally, our results did not support that elevated blood fibrinogen was related to increased death risk after discharge.

Assessment of adherence to treatment recommendations among patients with heart failure: a cross-sectional study.

BACKGROUND: Heart failure (HF) is a chronic condition characterized by significant impairment of the cardiovascular system, leading to a decline in health-related quality of life, recurrent hospitalizations, and increased mortality risk. It poses a substantial challenge for modern medicine, particularly when patients fail to adhere to therapeutic recommendations. The primary aim of this study was to evaluate the level of adherence to therapeutic guidelines among patients with HF and identify factors influencing adherence levels. METHODS: The study comprised 105 HF patients admitted to the cardiology department. A diagnostic survey approach was utilized, employing the Adherence in Chronic Diseases Scale (ACDS) along with a self-developed questionnaire. RESULTS: The findings revealed that 39.05% of participants exhibited a moderate level of adherence to therapeutic recommendations, while 34.29% reported high adherence and 26.67% displayed low adherence. Most of the patients (n = 66) had a rather good level of knowledge. Factors such as higher education (p < 0.001), engagement in mental work (p = 0.001), favorable socioeconomic status (p < 0.001), being in a stable relationship (p < 0.001), and residing with family (p < 0.001) were associated with increased adherence levels. The multivariable linear regression model indicated significant (p < 0.05) independent predictors that positively influenced the ACDS score, including being in a relationship, widowhood, and average or poor financial situation. Conversely, factors such as obesity and respiratory diseases were associated with a decrease in the ACDS score (p < 0.05). CONCLUSIONS: This study underscores the moderate adherence level to therapeutic recommendations among HF patients. Sociodemographic factors including education level, relationship status, occupation, financial stability, and living arrangements significantly impact adherence. Conversely, patients with obesity, respiratory conditions, or frequent HF-related hospitalizations demonstrate lower adherence. Patient education emerges as a pivotal factor influencing adherence. Tailored interventions targeting these factors could enhance adherence and optimize HF management outcomes.

Evaluating the Effects of Time From Brain Death and Type of Inotrope Usage on Result of Heart Transplant: Results of 1-Year Follow-Up.

OBJECTIVES: Heart transplant is the most effective treatment in patients with advanced heart failure who are refractory to medical treatment. The brain death interval and type of inotrope We assessed the effects of these parameters on heart transplant outcomes. MATERIALS AND METHODS: In this follow-up study, we followed heart transplant recipients for 1 year to study patient survival, ejection fraction, adverse events, and organ rejection. We evaluated follow-up results on time from brainstem death test to the cross-clamp placement, as well as the type of inotrope used. RESULTS: Our study enrolled 54 heart transplant candidates. The inotrope dose was 3.66 ± 0.99 µg/kg/min, and the most used inotrope, with 28 cases (51.9%), was related to dopamine. Six cases (11.1%) of death and 1 case of infection after transplant were observed in recipients. The average ejection fraction of transplanted hearts before transplant, instantly at time of transplant, and 1 month, 6 months, and 1 year after transplant was 54.9 ± 0.68, 52.9 ± 10.4, 51.9 ± 10.7, 50.1 ± 10.9, and 46.8 ± 17, respectively; this decreasing trend over time was significant (P =.001). Furthermore, ejection fraction changes following transplant did not differ significantly in transplanted hearts regarding brain death interval and type of inotrope used. CONCLUSIONS: Our study revealed that cardiac output of a transplanted heart may decrease over time and the time elapsed from brain death, and both dopamine and norepinephrine could have negligible effects on cardiac function.

Phenogrouping heart failure with preserved or mildly reduced ejection fraction using electronic health record data.

BACKGROUND: Heart failure (HF) with preserved or mildly reduced ejection fraction includes a heterogenous group of patients. Reclassification into distinct phenogroups to enable targeted interventions is a priority. This study aimed to identify distinct phenogroups, and compare phenogroup characteristics and outcomes, from electronic health record data. METHODS: 2,187 patients admitted to five UK hospitals with a diagnosis of HF and a left ventricular ejection fraction ≥ 40% were identified from the NIHR Health Informatics Collaborative database. Partition-based, model-based, and density-based machine learning clustering techniques were applied. Cox Proportional Hazards and Fine-Gray competing risks models were used to compare outcomes (all-cause mortality and hospitalisation for HF) across phenogroups. RESULTS: Three phenogroups were identified: (1) Younger, predominantly female patients with high prevalence of cardiometabolic and coronary disease; (2) More frail patients, with higher rates of lung disease and atrial fibrillation; (3) Patients characterised by systemic inflammation and high rates of diabetes and renal dysfunction. Survival profiles were distinct, with an increasing risk of all-cause mortality from phenogroups 1 to 3 (p < 0.001). Phenogroup membership significantly improved survival prediction compared to conventional factors. Phenogroups were not predictive of hospitalisation for HF. CONCLUSIONS: Applying unsupervised machine learning to routinely collected electronic health record data identified phenogroups with distinct clinical characteristics and unique survival profiles.

Effect of low blood pressure on prognosis of acute heart failure.

Low blood pressure (BP) is associated with poor outcomes in patients with heart failure (HF). We investigated the influence of initial BP on the prognosis of HF patients at admission, and prescribing patterns of HF medications, such as angiotensin-converting enzyme inhibitors (ACEi), angiotensin receptor blockers (ARB), and beta-blockers (BB). Data were sourced from a multicentre cohort of patients admitted for acute HF. Patients were grouped into heart failure reduced ejection fraction (HFrEF) and HF mildly reduced/preserved ejection fraction (HFmrEF/HFpEF) groups. Initial systolic and diastolic BPs were categorized into specific ranges. Among 2778 patients, those with HFrEF were prescribed ACEi, ARB, or BB at discharge, regardless of their initial BP. However, medication use in HFmrEF/HFpEF patients tended to decrease as BP decreased. Lower initial BP in HFrEF patients correlated with an increased incidence of all-cause death and composite clinical events, including HF readmission or all-cause death. However, no significant differences in clinical outcomes were observed in HFmrEF/HFpEF patients according to BP. Initial systolic (< 120 mmHg) and diastolic (< 80 mmHg) BPs were independently associated with a 1.81-fold (odds ratio [OR] 1.81, 95% confidence interval [CI] 1.349-2.417, p < 0.001) and 2.24-fold (OR 2.24, 95% CI 1.645-3.053, p < 0.001) increased risk of long-term mortality in HFrEF patients, respectively. In conclusion, low initial BP in HFrEF patients correlated with adverse clinical outcomes, and BP < 120/80 mmHg independently increased mortality. However, this relationship was not observed in HFmrEF/HFpEF patients.

Pulmonary transit time is a predictor of outcomes in heart failure: a cardiovascular magnetic resonance first-pass perfusion study.

BACKGROUND: Pulmonary transit time (PTT) can be measured automatically from arterial input function (AIF) images of dual sequence first-pass perfusion imaging. PTT has been validated against invasive cardiac catheterisation correlating with both cardiac output and left ventricular filling pressure (both important prognostic markers in heart failure). We hypothesized that prolonged PTT is associated with clinical outcomes in patients with heart failure. METHODS: We recruited outpatients with a recent diagnosis of non-ischaemic heart failure with left ventricular ejection fraction (LVEF) < 50% on referral echocardiogram. Patients were followed up by a review of medical records for major adverse cardiovascular events (MACE) defined as all-cause mortality, heart failure hospitalization, ventricular arrhythmia, stroke or myocardial infarction. PTT was measured automatically from low-resolution AIF dynamic series of both the LV and RV during rest perfusion imaging, and the PTT was measured as the time (in seconds) between the centroid of the left (LV) and right ventricle (RV) indicator dilution curves. RESULTS: Patients (N = 294) were followed-up for median 2.0 years during which 37 patients (12.6%) had at least one MACE event. On univariate Cox regression analysis there was a significant association between PTT and MACE (Hazard ratio (HR) 1.16, 95% confidence interval (CI) 1.08-1.25, P = 0.0001). There was also significant association between PTT and heart failure hospitalisation (HR 1.15, 95% CI 1.02-1.29, P = 0.02) and moderate correlation between PTT and N-terminal pro B-type natriuretic peptide (NT-proBNP, r = 0.51, P < 0.001). PTT remained predictive of MACE after adjustment for clinical and imaging factors but was no longer significant once adjusted for NT-proBNP. CONCLUSIONS: PTT measured automatically during CMR perfusion imaging in patients with recent onset non-ischaemic heart failure is predictive of MACE and in particular heart failure hospitalisation. PTT derived in this way may be a non-invasive marker of haemodynamic congestion in heart failure and future studies are required to establish if prolonged PTT identifies those who may warrant closer follow-up or medicine optimisation to reduce the risk of future adverse events.

Left ventricular geometry characteristics and clinical outcomes in hemodialysis patients with heart failure with preserved ejection fraction.

BACKGROUND: The relationships among left heart remodeling, cardiac function, and cardiovascular events (CEs) in patients with heart failure (HF) with preserved ejection fraction (HFpEF) undergoing maintenance hemodialysis (MHD) remain unclear. We evaluated the echocardiographic characteristics and clinical outcomes of such patients with diverse left ventricular geometric (LVG) configurations. METHODS: Overall, 210 patients with HFpEF undergoing MHD (cases) and 60 healthy controls were enrolled. Cases were divided into four subgroups based on LVG and were followed up for three years. The primary outcomes were the first CEs and all-cause mortality. RESULTS: Left ventricular ejection fraction (LVEF) and right ventricular systolic function did significantly differ between cases and controls, whereas echocardiographic parameters of cardiac structure, diastolic function, and left ventricular global longitudinal strain (LVGLS) differed significantly. The proportion of cases with left ventricular hypertrophy (LVH) was 67.1%. In addition, 2.38%, 21.90%, 12.86%, and 62.86% of cases presented with normal geometry (NG), concentric remodeling (CR), eccentric hypertrophy (EH), and concentric hypertrophy (CH), respectively. The left atrial diameter (LAD) was the largest and cardiac output index was the lowest in the EH subgroup. The score of Acute Dialysis Quality Initiative Workgroup (ADQI) HF class was worse in the EH subgroup than in other subgroups at baseline. The proportions of cases free of adverse CEs in the EH subgroup at 12, 24, and 36 months were 40.2%, 14.8%, and 0%, respectively, and the survival rates were 85.2%, 29.6%, 3.7%, respectively, which were significantly lower than those in other subgroups. Multivariate Cox regression revealed that age, TNI (Troponin I), EH, left ventricular mass index (LVMI), age and EH configuration were independent risk factors for adverse CEs and all-cause mortality in the cases. CONCLUSION: Most patients with HFpEF receiving MHD have LVH and diastolic dysfunction. Among the four LVGs, patients with HFpEF undergoing MHD who exhibited EH had the highest risk of adverse CEs and all-cause mortality.

Reassessing heart failure therapy in Thailand: Patient insights and treatment outcomes from the Thai heart failure registry.

BACKGROUND: This research analyzed the demographics, management, and outcomes of patients with heart failure (HF) in Thailand. METHODS: The Thai Heart Failure Registry prospectively enrolled patients diagnosed with HF from 36 hospitals in Thailand. Follow-up data were recorded at 6, 12, 18, and 24 months. This study primarily focused on two outcomes: mortality and HF-related hospitalizations. RESULTS: The study included 2639 patients aged at least 18. Their mean age was 59.2 ± 14.5 years, and most were male (68.4%). Patients were classified as having HF with reduced ejection fraction (HFrEF, 80.7%), HF with preserved ejection fraction (HFpEF, 9.0%), or HF with mildly reduced ejection fraction (HFmrEF, 10.3%). Guideline-directed medical therapy utilization varied. Beta-blockers had the highest usage (93.2%), followed by mineralocorticoid receptor antagonists (65.7%), angiotensin-converting enzyme inhibitors (39.3%), angiotensin receptor blockers (28.2%), angiotensin receptor-neprilysin inhibitors (16.1%), and sodium-glucose cotransporter-2 inhibitors (8.0%). The study monitored a composite of mortality and HF incidents, revealing incidence rates of 11.74, 12.50, and 8.93 per 100 person-years for the overall, HFrEF, and HFmrEF/HFpEF populations, respectively. CONCLUSIONS: Despite high guideline-directed medical therapy adherence, the Thai Heart Failure Registry data revealed high mortality and recurrent HF rates. These findings underscore limitations in current HF treatment efficacy. The results indicate the need for further investigation and improvements of HF management to enhance patient outcomes.

Individual and Joint Associations of High-Sensitivity Troponin I and High-Sensitivity Troponin T with Cardiac Phenotypes and Outcomes in the General Population: An Analysis From the Dallas Heart Study.

BACKGROUND: High-sensitivity troponin I (hs-cTnI) and T (hs-cTnT) provide complementary information regarding cardiovascular disease risk. The explanation for their distinct risk profiles is incompletely understood. METHODS AND RESULTS: hs-cTnI and hs-cTnT were measured in Dallas Heart Study participants. Associations of hs-cTnI and hs-cTnT with demographics and phenotypes were assessed using linear regression. Associations with incident heart failure, atherosclerotic cardiovascular disease, global cardiovascular disease, and cardiovascular and all-cause mortality were assessed using Cox models. Among 3276 participants (56% women, 50% Black persons, median age 43 years), the correlation between hs-cTnI and hs-cTnT was modest (Spearman rho=0.35). Variables associated with hs-cTnI but not hs-cTnT included hypertension, higher body mass index and total cholesterol, and lower high-density lipoprotein and cholesterol efflux capacity. Older age, male sex, and diabetes were positively associated, and smoking was negatively associated, with hs-cTnT but not hs-cTnI. Hs-cTnI and hs-cTnT were associated with heart failure (hazard ratio [HR] per SD log hs-cTnI 1.53 [95% CI, 1.30-1.81] and HR per SD log hs-cTnT 1.65 [95% CI, 1.40-1.95]), global cardiovascular disease (HR, 1.22 [95% CI, 1.10-1.34] and HR, 1.27 [95% CI, 1.15-1.32]), and all-cause mortality (HR, 1.12 [95% CI, 1.01-1.25], and HR, 1.17 [95% CI, 1.06-1.29]). After adjustment for N-terminal pro-B-type natriuretic peptide and the alternative troponin, both remained associated with heart failure (HR per SD log hs-cTnI 1.32 [95% CI, 1.1-1.58] and HR per log hs-cTnT 1.27 [95% CI, 1.06-1.51]). CONCLUSIONS: Hs-cTnI and hs-cTnT are modestly correlated, demonstrate differential associations with cardiac and metabolic phenotypes, and provide complementary information regarding heart failure risk.

Temporal Trends in Clinical Characteristics and Outcomes for Peripartum Cardiomyopathy: The Nationwide Multicenter Registry Over 20 Years.

BACKGROUND: Although peripartum cardiomyopathy (PPCM) is a fatal disease affecting young patients and fetuses, little is known about its recent prognosis and risk factors. This study investigated temporal trends in clinical characteristics and outcomes for PPCM in a nationwide multicenter registry. METHODS AND RESULTS: The study population comprised 340 patients (mean age, 33 years) who were diagnosed with PPCM between January 2000 and September 2022 in 26 tertiary hospitals in South Korea. PPCM was defined as heart failure with left ventricular ejection fraction ≤45% and no previously known cardiac disease. The main study outcomes included time to the first occurrence of all-cause death, heart transplantation, and cardiovascular hospitalization. The diagnosis of PPCM cases increased notably during the study period (P<0.001). However, clinical outcomes showed no significant improvement (all-cause death for 10 years: 0.9% [2000-2010] versus 2.3% [2011-2022], P=0.450; all-cause death and heart transplantation for 10 years: 3.6% [2000-2010] versus 3.0% [2011-2022] P=0.520; all-cause death, heart transplantation, and cardiovascular hospitalization for 10 years: 11.7% [2000-2010] versus 19.8% [2011-2022], P=0.240). High body mass index (hazard ratio [HR], 1.106 [95% CI, 1.024-1.196]; P=0.011), the presence of gestational diabetes (HR, 5.346 [95% CI, 1.778-16.07]; P=0.002), and increased baseline left ventricular end-diastolic dimension (HR, 1.078 [95% CI, 1.002-1.159]; P=0.044) were significant risk factors for poor prognosis. CONCLUSIONS: While the incidence of PPCM has increased over the past 20 years, the prognosis has not improved significantly. Timely management and close follow-up are necessary for high-risk patients with PPCM with high body mass index, gestational diabetes, or large left ventricular end-diastolic dimension.

Advanced Heart Failure Characteristics and Outcomes in Women and Men.

BACKGROUND: The epidemiology and pathophysiology of heart failure (HF) differ in women and men. Whether these differences extend to the subgroup of patients with advanced HF is not well defined. METHODS AND RESULTS: This is a retrospective cohort study of all adult Olmsted County, Minnesota residents with advanced HF (European Society of Cardiology criteria) from 2007 to 2017. Differences in survival and hospitalization risks in women and men following advanced HF development were examined using Cox proportional hazard regression and Andersen-Gill models, respectively. Of 936 individuals with advanced HF, 417 (44.6%) were women and 519 (55.4%) were men (self-reported sex). Time from development of HF to advanced HF was similar in women and men (median 3.2 versus 3.6 years). Women were older at diagnosis (mean age 79 versus 75 years), less often had coronary disease and hyperlipidemia, but more often had hypertension and depression (P<0.05 for each). Advanced HF with preserved ejection fraction was more prevalent in women than men (60% versus 30%, p<0.001). There were no differences in adjusted risks of all-cause mortality (hazard ratio [HR], 0.89 [95% CI, 0.77-1.03]), cardiovascular mortality (HR, 0.85 [95% CI, 0.70-1.02]), all-cause hospitalizations (HR, 1.04 [95% CI, 0.90-1.20]), or HF hospitalizations (HR, 0.91 [95% CI, 0.75-1.11]) between women and men. However, adjusted cardiovascular mortality was lower in women versus men with advanced HF with reduced ejection fraction (HR, 0.72 [95% CI, 0.56-0.93]). CONCLUSIONS: Women more often present with advanced HF with preserved ejection fraction and men with atherosclerotic disease and advanced HF with reduced ejection fraction. Despite these differences, survival and hospitalization risks are largely comparable in women and men with advanced HF.

Aptamer Proteomics for Biomarker Discovery in Heart Failure With Preserved Ejection Fraction: The PARAGON-HF Proteomic Substudy.

BACKGROUND: Prognostic markers and biological pathways linked to detrimental clinical outcomes in heart failure with preserved ejection fraction (HFpEF) remain incompletely defined. METHODS AND RESULTS: We measured serum levels of 4123 unique proteins in 1117 patients with HFpEF enrolled in the PARAGON-HF (Efficacy and Safety of LCZ696 Compared to Valsartan, on Morbidity and Mortality in Heart Failure Patients With Preserved Ejection Fraction) trial using a modified aptamer proteomic assay. Baseline circulating protein concentrations significantly associated with the primary end point and the timing and occurrence of total heart failure hospitalization and cardiovascular death were identified by recurrent events regression, accounting for multiple testing, adjusted for age, sex, treatment, and anticoagulant use, and compared with published analyses in 2515 patients with heart failure with reduced ejection fraction from the PARADIGM-HF (Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure) and ATMOSPHERE (Efficacy and Safety of Aliskiren and Aliskiren/Enalapril Combination on Morbidity-Mortality in Patients With Chronic Heart Failure) clinical trials. We identified 288 proteins that were robustly associated with the risk of heart failure hospitalization and cardiovascular death in patients with HFpEF. The baseline proteins most strongly related to outcomes included B2M (ß-2 microglobulin), TIMP1 (tissue inhibitor of matrix metalloproteinase 1), SERPINA4 (serpin family A member 4), and SVEP1 (sushi, von Willebrand factor type A, EGF, and pentraxin domain containing 1). Overall, the protein-outcome associations in patients with HFpEF did not markedly differ as compared with patients with heart failure with reduced ejection fraction. A proteomic risk score derived in patients with HFpEF was not superior to a previous proteomic score derived in heart failure with reduced ejection fraction nor to clinical risk factors, NT-proBNP (N-terminal pro-B-type natriuretic peptide), or high-sensitivity cardiac troponin. CONCLUSIONS: Numerous serum proteins linked to metabolic, coagulation, and extracellular matrix regulatory pathways were associated with worse HFpEF prognosis in the PARAGON-HF proteomic substudy. Our results demonstrate substantial similarities among serum proteomic risk markers for heart failure hospitalization and cardiovascular death when comparing clinical trial participants with heart failure across the ejection fraction spectrum. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique Identifiers: NCT01920711, NCT01035255, NCT00853658.

Association Between Adherence to a 3-Month Cardiac Rehabilitation Program and Long-Term Clinical Outcomes in Japanese Patients With Cardiac Implantable Electronic Devices.

PURPOSE: The objective of this study was to evaluate the association between comprehensive cardiac rehabilitation (CCR) completion and long-term clinical outcomes in patients with cardiac implantable electronic devices (CIED). METHODS: This retrospective cohort study included 834 patients with CIED who participated in CCR, which included a cardiopulmonary exercise test or 6-min walk test. Patients with a left ventricular ejection fraction ≤40%, predicted peak oxygen uptake ≤80%, or B-type natriuretic peptide level ≥80 pg/mL were eligible. The primary outcome was all-cause mortality. RESULTS: After excluding 241 patients with duplicate records and 69 who underwent CCR in the outpatient department, the data of 524 patients were analyzed. Mean age was 64 ± 15 yr, 389 (74%) patients were men, left ventricular ejection fraction was 31 ± 15%, and 282 (54%) patients had a history of hospitalization for worsening heart failure. Of the patients referred for CCR, 294 (56%) completed the program, and an additional 230 patients started but did not complete CCR. Over a 3.7-yr median follow-up period, all-cause mortality occurred in 156 (30%) patients. Completers had lower all-cause mortality rates than non-completers (log-rank 15.77, P < .001). After adjusting for prognostic baseline characteristics, completers had 58% lower all-cause mortality risks than non-completers (HR = 0.42; 95% CI, 0.27-0.64, P < .001). CONCLUSIONS: Three-mo CCR program completion was associated with lower mortality risks in patients with CIED. New programs or management methods are needed to decrease mortality risks, especially for those who cannot complete CCR programs.

Impact of telemedical management on hospitalization and mortality in heart failure patients with diabetes: a post-hoc subgroup analysis of the TIM-HF2 trial.

BACKGROUND: The TIM-HF2 study demonstrated that remote patient management (RPM) in a well-defined heart failure (HF) population reduced the percentage of days lost due to unplanned cardiovascular hospital admissions or all-cause death during 1-year follow-up (hazard ratio 0.80) and all-cause mortality alone (HR 0.70). Higher rates of hospital admissions and mortality have been reported in HF patients with diabetes compared with HF patients without diabetes. Therefore, in a post-hoc analysis of the TIM-HF2 study, we investigated the efficacy of RPM in HF patients with diabetes. METHODS: TIM-HF2 study was a randomized, controlled, unmasked (concealed randomization), multicentre trial, performed in Germany between August 2013 and May 2018. HF-Patients in NYHA class II/III who had a HF-related hospital admission within the previous 12 months, irrespective of left ventricular ejection fraction, and were randomized to usual care with or without added RPM and followed for 1 year. The primary endpoint was days lost due to unplanned cardiovascular hospitalization or due to death of any cause. This post-hoc analysis included 707 HF patients with diabetes. RESULTS: In HF patients with diabetes, RPM reduced the percentage of days lost due to cardiovascular hospitalization or death compared with usual care (HR 0.66, 95% CI 0.48-0.90), and the rate of all-cause mortality alone (HR 0.52, 95% CI 0.32-0.85). RPM was also associated with an improvement in quality of life (mean difference in change in global score of Minnesota Living with Heart Failure Questionnaire score (MLHFQ): - 3.4, 95% CI - 6.2 to - 0.6). CONCLUSION: These results support the use of RPM in HF patients with diabetes. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT01878630.

Interpretable Machine Learning Models Using Peripheral Immune Cells to Predict 90-Day Readmission or Mortality in Acute Heart Failure Patients.

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.