Cardiology journal最新文献

Background: Liver dysfunction contributes to worse clinical outcomes in heart failure (HF) patients. However, studies exploring temporal evolutions of liver function parameters in chronic HF (CHF) pa- tients, and their associations with clinical outcome, are scarce. Detailed temporal patterns of alkaline phosphatase (ALP), gamma glutamyl transpeptidase (GGTP), total bilirubin (TBIL) and albumin (ALB) were investigated, and their relation with clinical outcome, in patients with stable CHF with reduced ejection fraction.

Methods: Tri-monthly plasma samples were collected from 250 patients during 2.2 (1.4-2.5) years of follow-up. ALP, GGTP, ALB, and TBIL were measured in 749 selected samples and the relationship between repeatedly measured biomarker levels and the primary endpoint (PEP; composite of cardiovas- cular death, heart transplantation, left ventricular assist device implantation, and hospitalization for worsened HF) was evaluated by joint models.

Results: Mean age was 66 ± 13 years; 74% were men, 25% in New York Heart Association class III-IV. 66 (26%) patients reached the PEP. Repeatedly measured levels of TBIL, ALP, GGTP, and ALB were associated with the PEP after adjustment for N-terminal prohormone B-type natriuretic peptide and high sensitivity troponin T (hazard ratio [95% confidence interval] per doubling of biomarker level: 1.98 [1.32; 2.95], p = 0.002; 1.84 [1.09; 3.05], p = 0.018, 1.33 [1.08; 1.63], p = 0.006 and 1.14 [1.09; 1.20], p < 0.001, respectively). Serial levels of ALP and GGTP, and slopes of the temporal evolutions of ALB and TBIL, adjusted for clinical variables, were also significantly associated with the PEP.

Conclusions: Changes in serum levels of TBIL, ALP, GGTP, and ALB precede adverse cardiovascular events in patients with CHF. These routine liver function parameters may provide additional prognostic information in heart failure with reduced ejection fraction patients in clinical practice.

The diagnosis of end-stage renal disease (ESRD) is made when the estimated glomerular filtration rate is less than 15 mL/min/1.73 m2. Most patients with that stage of chronic kidney disease (CKD) are eligible for renal replacement treatment, which includes kidney transplantation, hemodialysis and peritoneal dialysis. It is well recognized that CKD raises the risk of cardiovascular disease and is linked to a higher cardiovascular death rate in this population. Additionally, the largest risk of cardiovascular events is seen in ESRD patients. Heart failure (HF) and dangerous arrhythmias, which are more common in the advanced stages of CKD, are two additional causes of cardiovascular death in addition to atherosclerosis-related complications such as myocardial infarction and stroke. In this review the significance of natriuretic peptides and other HF biomarkers in hemodialysis patients, as tools for cardiovascular risk assessment will be discussed.

Introduction: Predictors of heart failure with recovered ejection fraction (HFrecEF) remain to be fully elucidated. This study investigated the impact of heart rate and its change on the recovery of left ventricular ejection fraction (LVEF) in heart failure with reduced ejection fraction (HFrEF).

Material and methods: From 398 outpatients who had a history of hospitalisation for heart failure, 138 subjects diagnosed as HFrEF (LVEF < 40%) on heart failure hospitalisation were enrolled and longitudinally surveyed. During follow-up periods more than one year, 64 and 46 patients were identified as HFrecEF (improved LVEF to ≥ 40% and its increase of ≥ 10 points) and persistent HFrEF, respectively.

Results: In the overall subjects, the reduction of heart rate through the observation periods was closely correlated with the improvement of LVEF (r = -0.508, p < 0.001). Heart rate on hospital admission for heart failure was markedly higher in patients with HFrecEF (112 ± 26 bpm) than in those with persistent HFrEF (90±18 bpm). Whereas heart rate at the first outpatient visit after discharge was already lower in the HFrecEF group (80 ± 13 vs. 85 ± 13 bpm in the persistent HFrEF group). A multivariate logistic regression analysis revealed that the decrease in heart rate from admission to the first visit after discharge was a significant determinant of HFrecEF (p < 0.001), independently of confounding factors such as ischemic heart disease and baseline LVEF and left ventricular dimension.

Conclusions: Our findings suggest that heart rate reduction in the early phase after heart failure onset is a powerful independent predictor of the subsequent recovery of LVEF in HFrEF patients.

Imtroduction: The high-risk population of patients with cardiovascular (CV) disease or risk factors (RF) suffering from COVID-19 is heterogeneous. Several predictors for impaired prognosis have been identified. However, with machine learning (ML) approaches, certain phenotypes may be confined to classify the affected population and to predict outcome. This study aimed to phenotype patients using unsupervised ML technique within the International Postgraduate Course Heart Failure Registry for patients hospitalized with COVID-19 and Cardiovascular disease and/or RF (PCHF-COVICAV).

Material and methods: Patients from the eight centres with follow-up data available from the PCHF-COVICAV registry were included in this ML analysis (K-medoids algorithm).

Results: Out of 617 patients included into the prospective part of the registry, 458 [median age: 76 (IQR:65-84) years, 55% male] were analyzed and 46 baseline variables, including demographics, clinical status, comorbidities and biochemical characteristics were incorporated into the ML. Three clusters were extracted by this ML method. Cluster 1 (n = 181) represents mainly women with the least number of overall comorbidities and cardiovascular RF. Cluster 2 (n = 227) is characterized mainly by men with non-CV conditions and less severe symptoms of infection. Cluster 3 (n=50) mainly represents men with the highest prevalence of cardiac comorbidities and RF, more extensive inflammation and organ dysfunction with the highest 6-month all-cause mortality risk.

Conclusions: The ML process has identified three important clinical clusters from hospitalized COVID-19 CV and/or RF patients. The cluster of males with severe CV disease, particularly HF, and multiple RF presenting with increased inflammation had a particularly poor outcome.

Background: Heart failure (HF) is a major health problem in Western countries, and a leading cause of hospitalizations and death. There is a scarcity of data on the influence of sex on HF outcomes in elderly patients. The aim of the present study was to analyze differences between men and women in clinical characteristics, in-hospital mortality, 30-day HF readmission rates, cardiovascular mortality and HF readmission rates at 1 year after discharge in patients older than 75 years hospitalized for HF in Spain.

Methods: Retrospective analysis of patients discharged with a main diagnosis of HF from all Spanish public hospitals between 2016 and 2019. Patients aged 75 years or older were selected, and a comparison was made between male and female patients.

Results: From 2016 to 2019, a total of 354,786 episodes of HF in this age subgroup were identified, 59.2% being women. The overall mean age was 85.2 ± 5.4 years, being higher in women (85.9 ± 5.5 vs. 84.2 ± 5.3 years, p < 0.001). Risk-adjusted in-hospital mortality was lower in women (odds ratio [OR]: 0.96, 95% confidence interval [CI]: 0.92-0.97; p < 0.001). Female sex also showed a protective effect for 30-day readmissions, with an OR of 1.06 (95% CI: 1.04-1.09; p < 0.001). One-year cardiovascular mortality (24.1% vs. 25.0%; p < 0.001) and one-year HF readmission rates (30.8% vs. 31.6%; p = 0.001) were lower in women.

Conclusions: Almost 60% of hospital admissions for HF in people aged 75 years or older between 2016 and 2019 in Spain were female patients. Female sex seems to play a protective role on in-hospital mortality and the rate of admissions and mortality at 1 year after discharge.