Acute heart failure in the elderly: differences in clinical characteristics, outcomes, and prognostic factors in the VERITAS Study

Prognostic value of admission respiratory rate in patients with acute myocardial infarction

BACKGROUND

Respiratory rate (RR) is one important vital sign that is often neglected in patients with acute myocardial infarction (AMI). The present study aimed to evaluate the impact of admission RR on the prognosis in patients with AMI.

METHODS

This study included 5631 AMI patients from Medical Information Mart for Intensive Care IV (MIMIC-IV) and 1323 patients from The First Affiliated Hospital of Chongqing Medical University (validation cohort). The primary endpoint was 30-day all-cause mortality. Patients were divided into increased RR group (RR > 20 breaths/min) and normal RR group (RR ≤ 20 breaths/min) based on admission RR.

RESULTS

In the MIMIC-IV cohort, the median age was 70 years and 3503 (62.2%) patients were male. Compared to patients with normal RR, patients with admission RR > 20 breaths/min had significantly increased risk of 30-day all-cause mortality (14.2% vs. 27.5%, p < 0.001). After multivariate adjustment, admission RR > 20 breaths/min was independently associated with increased risk of 30-day all-cause mortality (HR 1.715; 95%CI 1.507-1.952, p < 0.001). The findings from MIMIC-IV were validated in the data from The First Affiliated Hospital of Chongqing Medical University and the results were consistent.

CONCLUSION

RR is not only a vital sign but also a simple and practical indicator for predicting the prognosis of patients with AMI. Increased RR upon admission independently predicted a higher risk of poor outcomes, making it a valuable tool for early risk stratification and guiding timely interventions.

Prognostic Value of Plasma Big Endothelin-1 in Patients Hospitalized for Heart Failure

BACKGROUND AND OBJECTIVES

Endothelin-1 (ET-1) is a potent vasoconstrictor and multifunctional neuroendocrine hormone that is closely associated with the pathophysiology of heart failure (HF). Currently, the evidence about the predictive value of big ET-1 in HF remains insufficient. This study aims to investigate the prognostic importance of big ET-1 in HF.

METHODS

We examined the incidence of cardiovascular death in a single-center retrospective cohort of HF (de novo, worsening, or chronic included).

RESULTS

The 4,368 hospitalized HF patients were enrolled. During the median follow-up of 875 (365-1,400) days, 851 (19.5%) patients had primary outcome events. Big ET-1 was independently associated with cardiovascular death as a continuous variable (hazard ratio [HR], 1.13; 95% confidence interval [CI], 1.06-1.21; p<0.001) and by tertiles (HR, 1.35; 95% CI, 1.06-1.72; p=0.017 for tertile 2 and HR, 1.70; 95% CI, 1.32-2.19; p<0.001 for tertile 3). This pattern of risk was maintained after further adjustment for NT-proBNP (HR, 1.11; 95% CI, 1.03-1.19; p=0.006 for continuous variable, HR, 1.30; 95% CI, 1.02-1.67; p=0.035 for tertile 2, and HR, 1.69; 95% CI, 1.23-2.05; p=0.034 for tertile 3). Net reclassification index (NRI) and integrated discrimination improvement (IDI) analysis showed that big ET-1 provided additional predictive power in combination with NT-proBNP (NRI, 0.11; 95% CI, 0.04-0.17; p=0.012 and IDI, 0.012; 95% CI, 0.003-0.017; p<0.001).

CONCLUSIONS

Elevated big ET-1 was independently associated with cardiovascular death in patients with HF. Big ET-1 may be a promising indicator of HF prognosis. In combination with NT-proBNP, big ET-1 may provide incremental predictive information.

Heart Failure in Older Patients: An Update

Heart failure (HF) is a clinical syndrome with high incidence and prevalence and high morbidity and death rate, even in the short term, representing a serious public health issue, mainly in older people. It is a growing cause for hospital admission in this age group, being frequently associated with several comorbidities, further aggravating the disease's course. Moreover, older HF patients are usually affected by clinical conditions, like frailty, malnutrition, and cachexia, which significantly impact the overall management of HF and need to be properly identified and treated. Diagnosing and managing HF in older patients may be very complicated and challenging. Although specific data on treatment of both acute and chronic HF in older subjects are limited and mainly extrapolated from large-scale clinical trials, the standard pharmacological management may be considered well-tolerated and generally safe. In any case, a personalized and tailored approach is mandatory and is based on severity of comorbidities, overall status, and prognosis, above all in frailer and more comorbid subjects, due to the higher rate of drug interactions, side effects, and therapy discontinuation in this population. In this scenario, palliative care has become a fundamental part of HF management in the elderly in order to improve their care and the quality of life. Moreover, an increasing number of promising pharmacological options deserve further investigation in order to support clinicians in optimizing management of comorbid and frailer patients. In this work, we provide detailed and updated insight into clinical, therapeutic, and prognostic features of both acute and chronic HF in the older population.

Hypoalbuminaemia and heart failure: A practical review of current evidence

Hypoalbuminaemia (serum albumin levels ≤3.5 g/dl) is associated with poor outcomes among patients with heart failure (HF). This narrative review includes original articles and reviews published over the past 20 years and retrieved from PubMed using the following search terms (or their combination): 'heart failure', 'hypoalbuminaemia', 'heart failure with reduced ejection fraction', 'heart failure with preserved ejection fraction', 'all-cause mortality', 'in-hospital mortality', 'hospitalization', 'prognosis'. The aims of this review are to provide an overview on the prevalence of hypoalbuminaemia in HF, its impact on clinical outcomes, and potential mechanisms that may suggest future therapeutic strategies. Hypoalbuminaemia is frequent in HF patients, especially among the elderly. However, data about the exact epidemiology of hypoalbuminaemia are scant due to different definitions, and prevalence is estimated between 5% and 70% across the whole spectrum of ejection fraction. Current evidence points to hypoalbuminaemia as a marker of poor outcomes in HF, irrespective of the ejection fraction, and in other cardiovascular diseases. Among patients who suffered from acute coronary syndrome, those with hypoalbuminaemia had an increased risk of new-onset HF and in-hospital mortality. Albumin, however, might also play a role in the natural history of such diseases due to its antioxidant, anti-inflammatory, and antithrombotic properties. Whether albumin supplementation or nutritional support in general would be beneficial in improving clinical outcomes in HF is not completely clear and should be evaluated in adequately designed studies.

Machine learning for predicting in-hospital mortality in elderly patients with heart failure combined with hypertension: a multicenter retrospective study

BACKGROUND

Heart failure combined with hypertension is a major contributor for elderly patients (≥ 65 years) to in-hospital mortality. However, there are very few models to predict in-hospital mortality in such elderly patients. We aimed to develop and test an individualized machine learning model to assess risk factors and predict in-hospital mortality in in these patients.

METHODS

From January 2012 to December 2021, this study collected data on elderly patients with heart failure and hypertension from the Chongqing Medical University Medical Data Platform. Least absolute shrinkage and the selection operator was used for recognizing key clinical variables. The optimal predictive model was chosen among eight machine learning algorithms on the basis of area under curve. SHapley Additive exPlanations and Local Interpretable Model-agnostic Explanations was employed to interpret the outcome of the predictive model.

RESULTS

This study ultimately comprised 4647 elderly individuals with hypertension and heart failure. The Random Forest model was chosen with the highest area under curve for 0.850 (95% CI 0.789-0.897), high accuracy for 0.738, recall 0.837, specificity 0.734 and brier score 0.178. According to SHapley Additive exPlanations results, the most related factors for in-hospital mortality in elderly patients with heart failure and hypertension were urea, length of stay, neutrophils, albumin and high-density lipoprotein cholesterol.

CONCLUSIONS

This study developed eight machine learning models to predict in-hospital mortality in elderly patients with hypertension as well as heart failure. Compared to other algorithms, the Random Forest model performed significantly better. Our study successfully predicted in-hospital mortality and identified the factors most associated with in-hospital mortality.

The Respiratory Rate, Age, and Mean Arterial Pressure (RAM) Index: A Novel Prognostic Tool to Predict Mortality among Adult Patients with Acute Heart Failure in the Emergency Department

Background and Objectives: Acute heart failure (AHF) is a life-threatening condition frequently encountered in the emergency department (ED). Identifying reliable prognostic indicators for in-hospital mortality is crucial for risk stratification and the appropriate management of AHF patients. This study aimed to assess the most effective method for predicting in-hospital mortality among various physiological parameters in patients with AHF presenting to the ED. Additionally, the study evaluated the effectiveness of the RAM index-respiratory rate (RR), age, and mean arterial pressure (MAP)-derived from the shock index (SI) by replacing heart rate with RR, as a novel prognostic tool. This was compared with the SI and its other derivatives to predict in-hospital mortality in adult patients with AHF presenting to the ED. Materials and Methods: This is a retrospective study conducted in the ED of an urban medical center, enrolling adult patients with signs and symptoms of AHF, who met the epidemiological diagnosis criteria, between January 2017 and December 2021. Baseline physiological parameters, including the RR, heart rate, systolic blood pressure, and diastolic blood pressure, were recorded upon ED admission. The RAM index was calculated as the RR multiplied by the age divided by the MAP. Statistical analysis was performed, including univariate analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis. Results: A total of 2333 patients were included in the study. A RAM index > 18.6 (area under ROC curve (AUROC): 0.81; 95% confidence interval (CI): 0.79-0.83) had a superior mortality discrimination ability compared to an SI > 0.77 (AUROC: 0.75; 95% CI: 0.72-0.77), modified shock index > 1.11 (AUROC: 0.75; 95% CI: 0.73-0.77), age shock index > 62.7 (AUROC: 0.74; 95% CI: 0.72-0.76), and age-modified shock index > 79.9 (AUROC: 0.75; 95% CI: 0.73-0.77). A RAM index > 18.6 demonstrated a 7.36-fold higher risk of in-hospital mortality with a sensitivity of 0.80, specificity of 0.68, and negative predictive value of 0.97. Conclusions: The RAM index is an effective tool to predict mortality in AHF patients presenting to the ED. Its superior performance compared to traditional SI-based parameters suggests that the RAM index can aid in risk stratification and the early identification of high-risk patients, facilitating timely and aggressive treatment strategies.

Use and Benefit of Sacubitril/Valsartan in Elderly Patients with Heart Failure with Reduced Ejection Fraction

Background: Heart failure (HF) is a highly prevalent syndrome in elderly subjects. Currently, multiple drugs have shown clinical benefits in patients with HF and reduced ejection fraction (HFrEF). However, evidence is scarce in elderly patients (beyond 75 years old), even more so for the latest drugs, such as angiotensin receptor-neprilysin inhibitors (ARNIs). This study aims to evaluate the use and benefits of ARNIs in elderly patients with HFrEF. Methods: A prospective observational cohort study was designed. Patients with left ventricular systolic dysfunction (defined by left ventricular ejection fraction [LVEF] < 40%) and age ≥ 75 years from January 2016 to December 2020 were prospectively included. Patients with an indication for ARNIs at inclusion or throughout follow-up were selected. Clinical, electrocardiographic and echocardiographic variables were collected. Results: A total of 616 patients were included, 34.4% of them female, with a mean age of 83.3 years, mean LVEF of 28.5% and ischemic etiology in 53.9% of patients. Only 14.3% of patients were taking ARNIs. After a mean follow-up of 34 months, 50.2% of patients died, and 62.2% had a cardiac event (total mortality or hospital admission due to HF). Multivariate Cox regression analysis showed that the use of ARNIs was independently and significantly associated with lower rates of mortality [HR 0.36 (95% CI 0.21-0.61)], with similar results in relation to all-cause mortality in a propensity-score-matched analysis [HR 0.33 (95% CI 0.19-0.57)]. Conclusions: We observed an important underuse of ARNIs in a cohort of elderly HFrEF patients, in which treatment with ARNIs was associated with a significant reduction in mortality. Greater implementation of clinical practice guidelines in this group of patients could improve their prognosis.

Prognostic role of serum albumin levels in patients with chronic heart failure

BACKGROUND

Hypoalbuminemia is common in heart failure (HF) patients; however, there are no data regarding the possible long-term prognostic role of serum albumin (SA) in the younger population with chronic HF without malnutrition. The aim of this study was to examine the long-term prognostic role of SA levels in predicting major adverse cardiac events (MACE) in middle-aged outpatients with chronic HF.

METHODS

In the present retrospective analysis, 378 subjects with HF were enrolled. MACE (non-fatal ischemic stroke, non-fatal myocardial infarction, cardiac revascularization or coronary bypass surgery, and cardiovascular death), total mortality, and HF hospitalizations (hHF) occurrence were evaluated during a median follow-up of 6.1 years.

RESULTS

In all population, 152 patients had a SA value < 3.5 g/dL and 226 had a SA value ≥ 3.5 g/dL. In patients with SA ≥ 3.5 g/dL, the observed MACE were 2.1 events/100 patient-year; while in the group with a worse SA levels, there were 7.0 events/100 patient-year (p < 0.001). The multivariate analysis model confirmed that low levels of SA increase the risk of MACE by a factor of 3.1. In addition, the presence of ischemic heart disease, serum uric acid levels > 6.0 mg/dL, chronic kidney disease, and a 10-year age rise, increased the risk of MACE in study participants. Finally, patients with SA < 3.5 g/dl had a higher incidence of hHF (p < 0.001) and total mortality (p < 0.001) than patients with SA ≥ 3.5 g/dl.

CONCLUSIONS

Patients with chronic HF that exhibits low SA levels show a higher risk of MACE, hHF and total mortality.

Association of serum albumin with heart failure mortality with NYHA class IV in Chinese patients: Insights from PhysioNet database (version 1.3)

BACKGROUND

Studies have proved that low albumin level is associated with increased mortality in most diseases, such as chronic kidney disease and hepatic cirrhosis. However, the relationship between albumin and all-cause death in heart failure patients in China is still unclear.

OBJECTIVES

We aimed to investigate the association between albumin level and 28-day mortality in Chinese hospitalized patients with NYHA IV heart failure.

METHODS

A total of 2008 Chinese patients were included. The correlation between serum albumin level and mortality was tested using a cox proportional hazards regression model. The smooth curve fitting was used to identify non-linear relationships between serum albumin and mortality. The Forest plot analysis was used to assess the association between albumin and 28-day mortality in different groups.

RESULTS

Compared with patients with NYHA II-III, patients with NYHA IV had lower albumin level and higher mortality within 28 days. The albumin on admission was independently and inversely associated with the endpoint risk, which remained significant (hazard ratio: 0.80; 95 % confidence interval: 0.66 to 0.96; p = 0.0196) after multivariable adjustment. The smooth curve fitting showed with the increase of albumin, the mortality within 28 days would decrease. A subgroup analysis found that the inverse association between the albumin level and risk of the mortality was consistent across the subgroup stratified by possible influence factors.

CONCLUSION

Serum albumin level is negatively associated with 28-day mortality in hospitalized heart failure patients within NYHA IV in China, which can be used as an independent predictor.

Establishment and validation of a clinical nomogram model based on serum YKL-40 to predict major adverse cardiovascular events during hospitalization in patients with acute ST-segment elevation myocardial infarction

Objective

This study aimed to investigate the predictive value of a clinical nomogram model based on serum YKL-40 for major adverse cardiovascular events (MACE) during hospitalization in patients with acute ST-segment elevation myocardial infarction (STEMI).

Methods

In this study, 295 STEMI patients from October 2020 to March 2023 in the Second People's Hospital of Hefei were randomly divided into a training group (n = 206) and a validation group (n = 89). Machine learning random forest model was used to select important variables and multivariate logistic regression was included to analyze the influencing factors of in-hospital MACE in STEMI patients; a nomogram model was constructed and the discrimination, calibration, and clinical effectiveness of the model were verified.

Results

According to the results of random forest and multivariate analysis, we identified serum YKL-40, albumin, blood glucose, hemoglobin, LVEF, and uric acid as independent predictors of in-hospital MACE in STEMI patients. Using the above parameters to establish a nomogram, the model C-index was 0.843 (95% CI: 0.79-0.897) in the training group; the model C-index was 0.863 (95% CI: 0.789-0.936) in the validation group, with good predictive power; the AUC (0.843) in the training group was greater than the TIMI risk score (0.648), p < 0.05; and the AUC (0.863) in the validation group was greater than the TIMI risk score (0.795). The calibration curve showed good predictive values and observed values of the nomogram; the DCA results showed that the graph had a high clinical application value.

Conclusion

In conclusion, we constructed and validated a nomogram based on serum YKL-40 to predict the risk of in-hospital MACE in STEMI patients. This model can provide a scientific reference for predicting the occurrence of in-hospital MACE and improving the prognosis of STEMI patients.

The Use of Brain Natriuretic Peptide in the Evaluation of Heart Failure in Geriatric Patients

Heart failure is one of the main morbidity and mortality factors in the general population and especially in elderly patients. Thus, at the European level, the prevalence of heart failure is 1% in people under 55 years of age but increases to over 10% in people over 70 years of age. The particularities of the elderly patient, which make the management of heart failure difficult, are the presence of comorbidities, frailty, cognitive impairment and polypharmacy. However, elderly patients are under-represented in clinical trials on the diagnosis and treatment of heart failure. The need for complementary methods (biomarkers) for differential and early diagnosis of heart failure is becoming more and more evident, even in its subclinical stages. These methods need to have increased specificity and sensitivity and be widely available. Natriuretic peptides, in particular B-type natriuretic peptide (BNP) and its fraction NTproBNP, have gained an increasingly important role in the screening, diagnosis and treatment of heart failure in recent years.

Construction and evaluation of nomogram model for individualized prediction of risk of major adverse cardiovascular events during hospitalization after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction

Background

Emergency percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI) helps to reduce the occurrence of major adverse cardiovascular events (MACEs) such as death, cardiogenic shock, and malignant arrhythmia, but in-hospital MACEs may still occur after emergency PCI, and their mortality is significantly increased once they occur. The aim of this study was to investigate the risk factors associated with MACE during hospitalization after PCI in STEMI patients, construct a nomogram prediction model and evaluate its effectiveness.

Methods

A retrospective analysis of 466 STEMI patients admitted to our hospital from January 2018 to June 2022. According to the occurrence of MACE during hospitalization, they were divided into MACE group (n = 127) and non-MACE group (n = 339), and the clinical data of the two groups were compared; least absolute shrinkage and selection operator (LASSO) regression was used to screen out the predictors with non-zero coefficients, and multivariate Logistic regression was used to analyze STEMI Independent risk factors for in-hospital MACE in patients after emergency PCI; a nomogram model for predicting the risk of in-hospital MACE in STEMI patients after PCI was constructed based on predictive factors, and the C-index was used to evaluate the predictive performance of the prediction model; the Bootstrap method was used to repeat sampling 1,000 Internal validation was carried out for the second time, the Hosmer-Lemeshow test was used to evaluate the model fit, and the calibration curve was drawn to evaluate the calibration degree of the model. Receiver operating characteristic (ROC) curves were drawn to evaluate the efficacy of the nomogram model and thrombolysis in myocardial infarction (TIMI) score in predicting in-hospital MACE in STEMI patients after acute PCI.

Results

The results of LASSO regression showed that systolic blood pressure, diastolic blood pressure, Killip grade II-IV, urea nitrogen and left ventricular ejection fraction (LVEF), IABP, NT-ProBNP were important predictors with non-zero coefficients, and multivariate logistic regression analysis was performed to analyze that Killip grade II-IV, urea nitrogen, LVEF, and NT-ProBNP were independent factors for in-hospital MACE after PCI in STEMI patients; a nomogram model for predicting the risk of in-hospital MACE after PCI in STEMI patients was constructed with the above independent predictors, with a C-index of 0.826 (95% CI: 0.785-0.868) having a good predictive power; the results of H-L goodness of fit test showed χ² = 1.3328, P = 0.25, the model calibration curve was close to the ideal model, and the internal validation C-index was 0.818; clinical decision analysis also showed that the nomogram model had a good clinical efficacy, especially when the threshold probability was 0.1-0.99, the nomogram model could bring clinical net benefits to patients. The nomogram model predicted a greater AUC (0.826) than the TIMI score (0.696) for in-hospital MACE after PCI in STEMI patients.

Conclusion

Urea nitrogen, Killip class II-IV, LVEF, and NT-ProBNP are independent factors for in-hospital MACE after PCI in STEMI patients, and nomogram models constructed based on the above factors have high predictive efficacy and feasibility.

The Therapeutic Role of SGLT-2 Inhibitors in Acute Heart Failure: From Pathophysiologic Mechanisms to Clinical Evidence with Pooled Analysis of Relevant Studies across Safety and Efficacy Endpoints of Interest

(1) Background: Sodium-glucose co-transporter-2 (SGLT-2) inhibitors constitute a novel drug class with remarkable cardiovascular benefits for patients with chronic heart failure (HF). Recently, this class has been utilized in acute HF as an additional treatment option to classic diuretics, which remain the cornerstone of treatment. (2) Methods: We attempted to identify those pathophysiologic mechanisms targeted by SGLT-2 inhibitors, which could be of benefit to patients with acute HF. We then conducted a comprehensive review of the literature within the PubMed database in order to identify relevant studies, both randomized controlled trials (RCTs) and observational studies, assessing the safety and efficacy of SGLT-2 inhibitors in acute HF. (3) Results: SGLT-2 inhibitors induce significant osmotic diuresis and natriuresis, decrease interstitial fluid volume and blood pressure, improve left ventricular (LV) function, ameliorate LV remodeling and prevent atrial arrhythmia occurrence, mechanisms that seem to be beneficial in acute HF. However, currently available studies, including six RCTs and two real-world studies, provide conflicting results concerning the true efficacy of SGLT-2 inhibitors, including "hard" surrogate endpoints. (4) Conclusions: Current evidence appears insufficient to substantiate the use of SGLT-2 inhibitors in acute HF. Further trials are required to shed more light on this issue.

Predictive risk factors for death in elderly patients after hospitalization for acute heart failure in an internal medicine unit

To determine the predictive factors of mortality after hospitalization for acute heart failure (AHF) in an internal medicine department. Retrospective observational analysis conducted on 164 patients hospitalized for AHF in 2016-2017. Demographic, clinical and biological characteristics were assessed during hospitalization. The primary endpoint was the occurrence of all-cause death. Multivariate analysis was performed using the Cox model adjusted for age and renal function. The study population was mostly female (n = 106, 64.6%), elderly (82.9 years ± 10.0), with a preserved LVEF (86%). Mean Charlson comorbidity index was 6.5 ± 2.5. After a median follow-up of 17.5 months (IQR 6-38), 109 patients (65%) had died with a median time to death of 14 months (IQR 3-29). In univariate analysis, patients who died were significantly older, had lower BMI and renal function, and higher CCI and NT-proBNP levels (median of 4944 ng/l [2370-14403] versus 1740 ng/l [1119-3503], p < 0.001). In multivariate analysis, risk factors for death were lower BMI (HR 0.69, CI [0.53-0.90], p = 0.005), lower albuminemia (HR 0.77 [0.63-0.94], p = 0.009), higher ferritinemia (HR 1.38 [1.08-1.76], p = 0.010), higher uricemia (HR 1.28 [1.02-1.59], p = 0.030), higher NT-proBNP (HR 2.46 [1.65-3.67], p < 0.001) and longer hospital stay (HR 1.25 [1.05-1.49] p = 0.013). In elderly multimorbid patients, AHF prognosis appears to be influenced by nutritional criteria, including lower BMI, hypoalbuminemia, and hyperuricemia (independently of renal function). These results underline the importance of nutritional status, especially as therapeutic options are available. This consideration paves the way for further research in this field.

Prognostic impact of neurohormonal modulation in very old patients with chronic heart failure

BACKGROUND

A gap in evidence exists concerning the survival-benefit of neurohormonal blockade in older patients with chronic heart failure (HF). The purpose of our study was to investigate the neurohormonal modulation therapy in older HF patients.

METHODS

We retrospectively analysed data on chronic HF patients with systolic dysfunction from January 2012 to May 2018 at a central tertiary academic hospital in Porto, Portugal. Very old (VO) patients were those ≥80 years. Endpoint under analysis: all-cause mortality; patients were followed until January 2021. The prognostic impact of beta-blockers (BBs) and renin-angiotensin system inhibitors (RASi) use was assessed with a Cox-regression analysis adjusting for confounders.

RESULTS

We studied 934 patients, 65.5% male; 45.3% had ischemic HF. BBs were used in 92.2% and RASi in 83.5%; 255 (27.3%) were VO patients. VO more often presented co-morbidities, were more symptomatic, presented worse renal function and higher BNP levels. BB prescription was similar in VO and non-VO patients, however RASi were less used in VO: 74.9% versus 86.7%, respectively. During a median follow-up of 47 months, 479 (51.3%) patients died: 71.4% among VO versus 43.7% in non-VO. BBs increased survival both in non-VO and VO-multivariate adjusted HRs of 0.57 (95% CI: 0.38-0.85) and 0.59 (0.36-0.97), respectively. A survival-benefit was also observed with RASi-adjusted HR of 0.71 (0.50-1.01) and 0.59 (0.42-0.83) in non-VO and VO.

CONCLUSIONS

VO patients with chronic HF with systolic dysfunction have a very ominous outcome. Neurohormonal modulation therapy appears to portend survival-benefit also in this particularly vulnerable subgroup of patients.

Influence of hemoglobin concentration on the in-hospital outcomes in newly diagnosed heart failure patients with atrial fibrillation: Finding from CCC-AF (improving care for cardiovascular disease in China-atrial fibrillation) project

Atrial fibrillation (AF) and heart failure (HF) coexistence is common of clinical significance. Although anemia is a well-recognized risk factor for adverse outcomes, the prognostic value of hemoglobin is controversial in AF and HF. We aimed to determine whether hemoglobin is associated with in-hospital outcomes in such patients.On the basis of the data from the CCC-AF (Improving Care for Cardiovascular Diseases in China-Atrial Fibrillation) project, 2367 inpatients with a definitive diagnosis of AF and HF and record of admission hemoglobin concentration were included. Logistic regression analysis was performed to investigate the relationship between hemoglobin and in-hospital outcomes.All patients were divided into 4 groups according to quartiles of hemoglobin values. Compared with patients with higher hemoglobin, patients with lower hemoglobin had higher proportion of males, heart rate (HR), and diastolic blood pressure (DBP). On the contrary, they had lower age, medical history, left ventricular ejection fraction (LVEF), and brain natriuretic peptide (P < .05). Spearman correlation showed that hemoglobin was negatively correlated with age, LVEF, international normalized ratio, and serum creatinine but positively correlated with HR, DBP, and blood urea nitrogen (P < .05). Multivariable logistic regression analysis revealed that increasing hemoglobin was an independent protective factor for in-hospital outcomes (odds ratio = 0.989; 95% confidence interval: 0.979-1.000; P = .046).Admission hemoglobin concentration was an independent protective factor for in-hospital outcomes in HF patients with AF. Our study indicated that increasing hemoglobin level and improving anemia degree might improve the prognosis of patients with AF and HF.

Potentially inappropriate medications for patients with heart failure and risk of hospitalization from heart failure: A case-control study from Thailand

Background

Thailand have developed a list of potentially inappropriate medications for patients with heart failure (PIMHF). However, its association with clinical outcomes has not been evaluated in real-world clinical practice.

Objective

To examine the association between the prescription of any PIMHF and hospitalization from heart failure (HF).

Methods

A 1:1 matched case-control study was conducted. Data on HF patients visiting the study hospitals during 2017-2019 were obtained from the electronic medical record database. Patients with a history of first hospitalization due to HF and those with a history of outpatient department visits or non-HF hospitalization were defined as cases and controls, respectively. The association of hospitalization from HF with the prescription of any PIMHF was expressed as the adjusted odds ratio (aOR) and 95% confidence interval (95%CI), calculated using a conditional logistic regression (CLR) model.

Results

After matching, 1,603 pairs of case and control were generated for the analysis. In total, 21 of 47 PIMHF were found to have been prescribed. Compared with the reference group of patients not prescribed any of the 21 PIMHF, those who had been prescribed a PIMHF had an aOR of 1.47 [95%CI 1.02:2.13]. NSAIDs/COX-2 inhibitors, oral short-acting beta-2 agonists, medications that promote fluid overload, and medications that elevate blood pressure were the four medication classes associated with the increased risk of hospitalization from HF (aOR = 2.64, [95%CI 1.30:5.38], aOR = 4.87, [95%CI 1.17:20.29], aOR = 1.50, [95%CI 1.01:2.22], and aOR = 2.51, [95%CI 1.26:4.99], respectively).

Conclusions

The prescription of any of the 21 PIMHF found to have been prescribed in this study may increase the risk of hospitalization from HF. The Thai PIMHF list may be used in pharmacy practice as an assessment tool for the appropriate use of medication in HF patients.

Pathophysiology and Therapeutic Approaches to Acute Decompensated Heart Failure

Acute decompensated heart failure (ADHF) is one of the leading admission diagnoses worldwide, yet it is an entity with incompletely understood pathophysiology and limited therapeutic options. Patients admitted for ADHF have high in-hospital morbidity and mortality, as well as frequent rehospitalizations and subsequent cardiovascular death. This devastating clinical course is partly due to suboptimal medical management of ADHF with persistent congestion upon hospital discharge and inadequate predischarge initiation of life-saving guideline-directed therapies. While new drugs for the treatment of chronic HF continue to be approved, there has been no new therapy approved for ADHF in decades. This review will focus on the current limited understanding of ADHF pathophysiology, possible therapeutic targets, and current limitations in expanding available therapies in light of the unmet need among these high-risk patients.

Reappraisal of Inflammatory Biomarkers in Heart Failure

PURPOSE OF REVIEW

Inflammation has been shown to be an important factor in the development and progression of heart failure (HF), regardless of the etiology. There have been many studies that demonstrated roles of inflammatory biomarkers in diagnosis, prognosis of chronic and acute HF patients, and also markers of cardiotoxicity from chemotherapy. These cytokines are high-sensitivity C-reactive protein (hsCRP), myeloperoxidase (MPO), soluble growth stimulation expressed gene 2 (sST2), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNFα), growth differentiation factor-15 (GDF-15), endothelin-1 (ET-1), and galectin-3. In this review, we discuss the past and present insights of those inflammatory biomarkers in order to gain more understanding in pathogenesis of HF, risk stratification of HF patients, and early detection of cardiotoxicity from cancer therapy.

RECENT FINDINGS

Many inflammatory cytokines have been shown to be associated with mortality of both chronic and acute HF patients, and some of them are able to track treatment responses, especially sST2 and galectin-3, which are the only two inflammatory biomarkers recommended to use in clinical setting by the recent standard HF guidelines, while some studies described ET-1 and MPO as potential predictors of cardiotoxicity from cancer drugs. The prognostic implications of inflammatory biomarkers in HF patients have been demonstrated more consistently in chronic than acute HF, with some suggestions of ET-1 and MPO in patients receiving chemotherapy. However, further studies are necessary for the use of inflammatory biomarkers in routine clinical practice.

Prognostic role of albumin level in heart failure: A systematic review and meta-analysis

BACKGROUND

Hypoalbuminemia (HA) is common in HF, however, its pathophysiology and clinical implications are poorly understood. While multiple studies have been published in the past decade investigating the role of serum albumin in HF, there is still no consensus on the prognostic value of this widely available measure. The objective of this study is to assess the prognostic role of albumin in heart failure (HF) patient.

METHODS

Unrestricted searches of MEDLINE, EMBASE, Cochrane databases were performed. The results were screened for relevance and eligibility criteria. Relevant data were extracted and analyzed using Comprehensive Meta-Analysis software. The Begg and Mazumdar rank correlation test was utilized to evaluate for publication bias.

RESULTS

A total of 48 studies examining 44,048 patients with HF were analyzed. HA was found in 32% (95% confidence interval [CI] 28.4%-37.4%) HF patients with marked heterogeneity (I2 = 98%). In 10 studies evaluating acute HF, in-hospital mortality was almost 4 times more likely in HA with an odds ratios (OR) of 3.77 (95% CI 1.96-7.23). HA was also associated with a significant increase in long-term mortality (OR: 1.5; 95% CI: 1.36-1.64) especially at 1-year post-discharge (OR: 2.44; 95% CI: 2.05-2.91; I2 = 11%). Pooled area under the curve (AUC 0.73; 95% CI 0.67-0.78) was comparable to serum brain natriuretic peptide (BNP) in predicting mortality in HF patients.

CONCLUSION

Our results suggest that HA is associated with significantly higher in-hospital mortality as well as long-term mortality with a predictive accuracy comparable to that reported for serum BNP. These findings suggest that serum albumin may be useful in determining high-risk patients.

Nocturnal respiratory rate predicts ICD benefit: A prospective, controlled, multicentre cohort study

BACKGROUND

Implantable cardioverter defibrillators (ICDs) prevent sudden cardiac death. ICD implantation decisions are currently based on reduced left ventricular ejection fraction (LVEF≤35%). However, in some patients, the non-arrhythmic death risk predominates thus diminishing ICD-therapy benefits. Based on previous observations, we tested the hypothesis that compared to the others, patients with nocturnal respiratory rate (NRR) ≥18 breaths per minute (brpm) benefit less from prophylactic ICD implantations.

METHODS

This prospective cohort study was a pre-defined sub-study of EU-CERT-ICD trial conducted at 44 centers in 15 EU countries between May 12, 2014, and September 6, 2018. Patients with ischaemic or non-ischaemic cardiomyopathy were included if meeting primary prophylactic ICD implantation criteria. The primary endpoint was all-cause mortality. NRR was assessed blindly from pre-implantation 24-hour Holters. Multivariable models and propensity stratification evaluated the interaction between NRR and the ICD mortality effect. This study is registered with ClinicalTrials.gov (NCT0206419).

FINDINGS

Of the 2,247 EU-CERT-ICD patients, this sub-study included 1,971 with complete records. In 1,363 patients (61.7 (12) years; 244 women) an ICD was implanted; 608 patients (63.2 (12) years; 108 women) were treated conservatively. During a median 2.5-year follow-up, 202 (14.8%) and 95 (15.6%) patients died in the ICD and control groups, respectively. NRR statistically significantly interacted with the ICD mortality effect (p = 0.0070). While the 1,316 patients with NRR<18 brpm showed a marked ICD benefit on mortality (adjusted HR 0.529 (95% CI 0.376-0.746); p = 0.0003), no treatment effect was demonstrated in 655 patients with NRR≥18 brpm (adjusted HR 0.981 (95% CI 0.669-1.438); p = 0.9202).

INTERPRETATION

In the EU-CERT-ICD trial, patients with NRR≥18 brpm showed limited benefit from primary prophylactic ICD implantation. Those with NRR<18 brpm benefitted substantially.

FUNDING

European Community's 7th Framework Programme FP7/2007-2013 (602299).

[Does hypoalbuminemia contribute to the worsening of heart failure?]

BACKGROUND

Hypoalbuminemia has now emerged as a powerful prognosticator in heart failure regardless of age, clinical presentation, left ventricular ejection fraction and usual prognostic markers. Growing evidence is that this prognostic value persists after adjusting for causative factors for hypoalbuminemia such as malnutrition, inflammation and liver dysfunction.

OBJECTIVE

To address the prognostic relevance of hypoalbuminemia in frail elderly patients with well-characterized cardiogenic pulmonary edema at high risk for adverse outcome, beyond causative factors for low serum albumin levels. Serum albumin was measured after clinical stabilization to avoid hypervolemia.

RESULTS

In all, 67 patients with a mean age of 86 years were included. Hospital mortality was 30%. Patients who died and who survived were similar in age, ejection fraction, BNP concentration, serum creatinine, serum hemoglobin, total bilirubin and prealbumin. Patients who died had lower serum albumin levels (P<0.001), higher blood urea nitrogen (P=0.03) and higher C-reactive protein (P=0.02). In multivariate analysis, serum albumin was the sole independent predictor of hospital death (P<0.01), after adjusting for malnutrition (prealbumin P=ns), inflammation (C-reactive protein P=ns) and liver dysfunction (total bilirubin P=ns).

CONCLUSION

Serum albumin is a powerful prognosticator in frail elderly patients with acute cardiogenic pulmonary edema even after adjusting for main causative factors. These results suggest that hypoalbuminemia may contribute to the worsening of heart failure given the physiological properties of serum albumin that includes antioxidant activity and plasma colloid osmotic pressure action. Further studies are critically needed to address the relevance of prevention and correction of hypoalbuminemia in heart failure.

Serum albumin and cardiovascular disease: State-of-the-art review

Cardiovascular disease is the leading cause of death worldwide. Conceptually, endothelial dysfunction, inflammatory conditions and oxidative stress are at the forefront of the onset and development of most cardiovascular diseases, particularly coronary artery disease and heart failure. Serum albumin has many physiological properties, including in particular antioxidant, anti-inflammatory, anticoagulant and anti-platelet aggregation activity. It also plays an essential role in the exchange of fluids across the capillary membrane. Hypoalbuminemia is a powerful prognostic marker in the general population as well as in many disease states. In the more specific context of cardiovascular disease, low serum albumin is independently associated with the development of various deleterious conditions such as coronary artery disease, heart failure, atrial fibrillation, stroke and venous thromboembolism. Low serum albumin has also emerged as a potent prognostic parameter in patients with cardiovascular disease regardless of usual prognostic markers. Remarkably, its potent prognostic value persists after adjusting for causative confounders such as malnutrition and inflammation. This prognostic value probably refers primarily to the syndrome of malnutrition-inflammation and the severity of comorbidities. Nevertheless, several recent meta-analyses strongly support the hypothesis that hypoalbuminemia may act as an unrecognized, potentially modifiable risk factor contributing to the emergence and progression of cardiovascular disease, primarily by exacerbating oxidative stress, inflammation and platelet aggregation, and by favouring peripheral congestion and pulmonary edema. Currently, it is unknown whether prevention and correction of low serum albumin offers a benefit to patients with or at risk for cardiovascular disease, and further studies are critically needed in this setting.

Identification of Patients with Heart Failure in Large Datasets

Large registries, administrative data, and the electronic health record (EHR) offer opportunities to identify patients with heart failure, which can be used for research purposes, process improvement, and optimal care delivery. Identification of cases is challenging because of the heterogeneous nature of the disease, which encompasses various phenotypes that may respond differently to treatment. The increasing availability of both structured and unstructured data in the EHR has expanded opportunities for cohort construction. This article reviews the current literature on approaches to identification of heart failure, and looks toward the future of machine learning, big data, and phenomapping.

Mitochondrial Dysfunction and Inflammaging in Heart Failure: Novel Roles of CYP-Derived Epoxylipids

Age-associated changes leading to a decline in cardiac structure and function contribute to the increased susceptibility and incidence of cardiovascular diseases (CVD) in elderly individuals. Indeed, age is considered a risk factor for heart failure and serves as an important predictor for poor prognosis in elderly individuals. Effects stemming from chronic, low-grade inflammation, inflammaging, are considered important determinants in cardiac health; however, our understanding of the mechanisms involved remains unresolved. A steady decline in mitochondrial function is recognized as an important biological consequence found in the aging heart which contributes to the development of heart failure. Dysfunctional mitochondria contribute to increased cellular stress and an innate immune response by activating the NLRP-3 inflammasomes, which have a role in inflammaging and age-related CVD pathogenesis. Emerging evidence suggests a protective role for CYP450 epoxygenase metabolites of N-3 and N-6 polyunsaturated fatty acids (PUFA), epoxylipids, which modulate various aspects of the immune system and protect mitochondria. In this article, we provide insight into the potential roles N-3 and N-6 PUFA have modulating mitochondria, inflammaging and heart failure.

Age-Related Characteristics and Outcomes of Patients With Heart Failure With Preserved Ejection Fraction

BACKGROUND

Although heart failure with preserved ejection fraction (HFpEF) is considered a disease of the elderly, younger patients are not spared from this syndrome.

OBJECTIVES

This study therefore investigated the associations among age, clinical characteristics, and outcomes in patients with HFpEF.

METHODS

Using data on patients with left ventricular ejection fraction ≥45% from 3 large HFpEF trials (TOPCAT [Aldosterone Antagonist Therapy for Adults With Heart Failure and Preserved Systolic Function], I-PRESERVE [Irbesartan in Heart Failure With Preserved Systolic Function], and CHARM Preserved [Candesartan Cilexetil in Heart Failure Assessment of Reduction in Mortality and Morbidity]), patients were categorized according to age: ≤55 years (n = 522), 56 to 64 years (n = 1,679), 65 to 74 years (n = 3,405), 75 to 84 years (n = 2,464), and ≥85 years (n = 398). This study compared clinical and echocardiographic characteristics, as well as mortality and hospitalization rates, mode of death, and quality of life across age categories.

RESULTS

Younger patients (age ≤55 years) with HFpEF were more often obese, nonwhite men, whereas older patients with HFpEF were more often white women with a higher prevalence of atrial fibrillation, hypertension, and chronic kidney disease (eGFR <60 ml/min/1.73 m²). Despite fewer comorbidities, younger patients had worse quality of life compared with older patients (age ≥85 years). Compared with patients age ≤55 years, patients age ≥85 years had higher mortality (hazard ratio: 6.9; 95% confidence interval: 4.2 to 11.4). However, among patients who died, sudden death was, proportionally, the most common mode of death (p < 0.001) in patients age ≤55 years. In contrast, older patients (age ≥85 years) died more often from noncardiovascular causes (34% vs. 20% in patients age ≤55 years; p < 0.001).

CONCLUSIONS

Compared with the elderly, younger patients with HFpEF were less likely to be white, were more frequently obese men, and died more often of cardiovascular causes, particularly sudden death. In contrast, elderly patients with HFpEF had more comorbidities and died more often from noncardiovascular causes. (Aldosterone Antagonist Therapy for Adults With Heart Failure and Preserved Systolic Function [TOPCAT]; NCT00094302; Irbesartan in Heart Failure With Preserved Systolic Function [I-PRESERVE]; NCT00095238; Candesartan Cilexetil in Heart Failure Assessment of Reduction in Mortality and Morbidity [CHARM Preserved]; NCT00634712).

Serum albumin level and long-term outcome in acute heart failure

Objective: Hypoalbuminemia is common in heart failure (HF), especially in elderly patients. It is associated with an increased risk of death. The present study sought to examine the prognostic significance of serum albumin level in the prediction of long-term mortality in patients admitted for acute HF.Methods and results: We examined the association between albumin and hospital mortality in a cohort of 509 patients admitted for acute HF. None of the patients had infectious disease, severe arrhythmias (atrial fibrillation, ventricular tachycardia, ventricular fibrillation), required invasive ventilation or presented with acute coronary syndrome or primary valvular disease. Sixty-nine patients (14%) died during the 1-year follow-up. With multivariable analysis, haemoglobin level (p = .003), systolic blood pressure (p = .004) and serum albumin level (p = .003) emerged as independent predictors of long-term mortality. Hypoalbuminemia (<35.7 g/L) had a hazard ratio of 2.01 (95% CI 1.24-3.25) and haemoglobin of 2.6 (95% CI 1.29-5.22) for predicting long-term mortality.Conclusions: Serum albumin level measured at admission, especially if combined with anaemia, can serve as a simple prognostic factor in acute HF for predicting long-term outcome.

Age-Dependent Prognostic Impact of Paroxysmal Versus Sustained Atrial Fibrillation on the Incidence of Cardiac Death and Heart Failure Hospitalization (the Fushimi AF Registry)

Data regarding the relation of the type of atrial fibrillation (AF) to the incidence of cardiac events remain scarce. This study sought to investigate the association of AF type with the incidences of cardiac death and heart failure (HF) hospitalization between paroxysmal and sustained (persistent/permanent) AF in the overall population and in age subgroups (≤74, 75 to 84, and ≥85 years), using the data from a Japanese community-based prospective survey, the Fushimi AF Registry. The participants started to be enrolled since March 2011, and follow-up data were available for 4,304 patients by the end of November 2017. Patients with sustained AF (n = 2,187, 50.8%) had more co-morbidities with higher mean CHA₂DS₂-VASc score than those with paroxysmal AF (n = 2,117, 49.2%) (sustained vs paroxysmal: 3.57 ± 1.69 vs 3.17 ± 1.67, p <0.001). During a median follow-up of 1,307 (interquartile range: 709 to 2,156) days, the composite of cardiac death and HF hospitalization occurred more frequently in those with sustained AF (event rate: 5.1 vs 2.8 per 100 person-years; p <0.001). On multivariate analysis, sustained AF was independently associated with higher incidence of this composite end point (adjusted hazard ratio [HR]: 1.35, 95% confidence interval [CI]: 1.12 to 1.63, p = 0.002). In age subgroups, this association was observed only in the younger AF patients (≤74 years) (adjusted HR: 2.03, 95% CI: 1.44 to 2.86, p <0.001), but not in the older subgroups (p = 0.018 for interaction). In conclusion, sustained AF was associated with higher incidence of the composite of cardiac death and HF hospitalization than paroxysmal AF, with different relations seen depending on age subgroups.

Heart Failure With Preserved Ejection Fraction in the Young

BACKGROUND

Heart failure with preserved ejection fraction (HFpEF), traditionally considered a disease of the elderly, may also affect younger patients. However, little is known about HFpEF in the young.

METHODS

We prospectively enrolled 1203 patients with HFpEF (left ventricular ejection fraction ≥50%) from 11 Asian regions. We grouped HFpEF patients into very young (<55 years of age; n=157), young (55-64 years of age; n=284), older (65-74 years of age; n=355), and elderly (≥75 years of age; n=407) and compared clinical and echocardiographic characteristics, quality of life, and outcomes across age groups and between very young individuals with HFpEF and age- and sex-matched control subjects without heart failure.

RESULTS

Thirty-seven percent of our HFpEF population was <65 years of age. Younger age was associated with male preponderance and a higher prevalence of obesity (body mass index ≥30 kg/m²; 36% in very young HFpEF versus 16% in elderly) together with less renal impairment, atrial fibrillation, and hypertension (all P<0.001). Left ventricular filling pressures and prevalence of left ventricular hypertrophy were similar in very young and elderly HFpEF. Quality of life was better and death and heart failure hospitalization at 1 year occurred less frequently ( P<0.001) in the very young (7%) compared with elderly (21%) HFpEF. Compared with control subjects, very young HFpEF had a 3-fold higher death rate and twice the prevalence of hypertrophy.

CONCLUSIONS

Young and very young patients with HFpEF display similar adverse cardiac remodeling compared with their older counterparts and very poor outcomes compared with control subjects without heart failure. Obesity may be a major driver of HFpEF in a high proportion of HFpEF in the young and very young.

Respiratory training interventions improve health status of heart failure patients: A systematic review and network meta-analysis of randomized controlled trials

BACKGROUND

Prior studies indicate that doing breathing exercises improves physical performance and quality of life (QoL) in heart failure patients. However, these effects remain unclear and contradictory.

AIM

To determine the effects of machine-assisted and non-machine-assisted respiratory training on physical performance and QoL in heart failure patients.

METHODS

This was a systematic review and network meta-analysis study. A literature search of electronic databases was conducted for randomized controlled trials (RCTs) on heart failure. Respiratory training interventions were grouped as seven categories: IMT_Pn (inspiratory muscle training without pressure or < 10% maximal inspiratory pressure, MIP), IMT_Pl (inspiratory muscle training with low pressure, 10%-15% MIP), IMT_Pm (inspiratory muscle training with medium pressure, 30%-40% MIP), IMT_Ph (inspiratory muscle training with high pressure, 60% MIP or MIP plus aerobics), Aerobics (aerobic exercise or weight training), Qi_Ex (tai chi, yoga, and breathing exercise), and none. The four outcomes were heart rate, peak oxygen uptake (VO₂ peak), 6-min walking distance test (6MWT), and Minnesota Living with Heart Failure QoL. The random-effects model, side-splitting model, and the surface under the cumulative ranking curve (SUCRA) were used to test and analyze the data.

RESULTS

A total of 1499 subjects from 31 RCT studies were included. IMT_Ph had the highest effect sizes for VO₂ peak and 6MWT, IMT_Pm highest for QoL, and Qi_Ex highest for heart rate. Aerobics had the second highest for VO₂ peak, Qi_Ex second highest for 6MWT, and IMT_Ph second highest for heart rate and QoL.

CONCLUSION

This study supports that high- and medium-intensity machine-assisted training improves exercise capacity and QoL in hospital-based heart failure patients. After hospital discharge, non-machine-assisted training continuously improves cardiac function.

Mean nocturnal respiratory rate predicts cardiovascular and all-cause mortality in community-dwelling older men and women

Respiratory frequency (f _R) predicts in-hospital and short-term mortality in patients with a variety of pathophysiological conditions, but its predictive value for long-term cardiovascular and all-cause mortality in the general population is unknown. Here, we investigated the relationship between mean nocturnal f _R and mortality in community-dwelling older men and women.We measured mean nocturnal f _R during sleep from overnight polysomnography in 2686 men participating in the Osteoporotic Fractures in Men Study (MrOS) Sleep study and 406 women participating in the Study of Osteoporotic Fractures (SOF) to investigate the relationship between mean nocturnal f _R and long-term cardiovascular and all-cause mortality.166 (6.1%) men in the MrOS cohort (8.9±2.6 years' follow-up) and 46 (11.2%) women in the SOF cohort (6.4±1.6 years' follow-up) died from cardiovascular disease. All-cause mortality was 51.2% and 26.1% during 13.7±3.7 and 6.4±1.6 years' follow-up in the MrOS Sleep study and the SOF cohorts, respectively. Multivariable Cox regression analysis adjusted for significant covariates demonstrated that f _R dichotomised at 16 breaths·min^-1 was independently associated with cardiovascular mortality (MrOS: hazard ratio (HR) 1.57, 95% CI 1.14-2.15; p=0.005; SOF: HR 2.58, 95% CI 1.41-4.76; p=0.002) and all-cause mortality (MrOS: HR 1.18, 95% CI 1.04-1.32; p=0.007; SOF: HR 1.50, 95% CI 1.02-2.20; p=0.04).In community-dwelling older men and women, polysomnography-derived mean nocturnal f _R ≥16 breaths·min^-1 is an independent predictor of long-term cardiovascular and all-cause mortality. Whether nocturnal mean f _R can be used as a risk marker warrants further prospective studies.

Clinical features of heart failure with mid-range and preserved ejection fraction in octogenarians: Results of a multicentre, observational study

OBJECTIVES

To compare real-world characteristics and management of individuals aged 80 and older with heart failure (HF) and mid-range ejection fraction (HFmrEF) and heart failure with preserved ejection fraction (HFpEF) derived from a large cohort of survey and to compare them with those younger than 80 from the same survey.

METHODS

This is an observational, multicentre and cross-sectional study conducted in Turkey (NCT03026114). Consecutive 1065 (mean age of 67.1 ± 10.6 years) patients admitted to the cardiology outpatient units with HFmrEF and HFpEF were included.

RESULTS

Participants aged 80 and older (n = 123, 11.5%) were more likely to be female (66.7% vs 52.5%, P = 0.003), had a higher prevalence of atrial fibrillation (49.6% vs 34%, P = 0.001), and anaemia (46.3% vs 33.4%, P = 0.005) than those who were younger than 80. N-terminal pro B-type natriuretic peptide levels were higher in those aged 80 and older than in those younger than 80 (1037 vs 550 pg/ml, P < 0.001). The prescription rates of HF medications (including in ACE-Is/ARBs, β-blockers, MRAs, digoxin, ivabradine and diuretics) were similar (P > 0.05) in both groups. Octogenarians did not significantly differ from younger patients in the prevalence of HFmrEF (24.4% vs 22.9%) and HFpEF (75.6% vs 77.1%). Coronary artery disease was associated with HFmrEF (P < 0.05), whereas atrial fibrillation was associated with HFpEF (P < 0.05) in octogenarians.

CONCLUSIONS

This study revealed that nearly 12% of the individuals with HFmrEF and HFpEF in this real-world sample were aged 80 and older. Participants aged 80 and older are more likely to be female and have more comorbidities than those who were younger than 80. However, HF medication profiles were similar in both groups. This study also showed that associated factors with HFmrEF and HFpEF were differ in octogenarians.

Moving From Heart Failure Guidelines to Clinical Practice: Gaps Contributing to Readmissions in Patients With Multiple Comorbidities and Older Age

This feature article for the thematic series on congestive heart failure (CHF) readmissions aims to outline important gaps in guidelines for patients with multiple comorbidities and the elderly. Congestive heart failure diagnosis manifests as a 3-phase journey between the hospital and community, during acute, chronic stable, and end-of-life (palliative) phases. This journey requires in variable intensities a combination of multidisciplinary care within tertiary hospital or ambulatory care from hospital outpatients or primary health services, within the general community. Management goals are uniform, ie, to achieve the lowest New York Heart Association class possible, with improvement in ejection fraction, by delivering gold standard therapies within a CHF program. Comorbidities are an important common denominator that influences outcomes. Comorbidities include diabetes mellitus, chronic obstructive airways disease, chronic renal impairment, hypertension, obesity, sleep apnea, and advancing age. Geriatric care includes the latter as well as syndromes such as frailty, falls, incontinence, and confusion. Many systems still fail to comprehensively achieve all aspects of such programs. This review explores these factors.

Acute Heart Failure in the Emergency Department: Respiratory Rate as a Risk Predictor

BACKGROUND/AIM

Several risk scores can stratify patients with acute heart failure (AHF) at the Emergency Department (ED). Registration of vital signs, such as blood pressure (BP), heart rate (HR) and respiratory rate (RR) upon admission is mandatory. Nevertheless, measurement of RR remains neglected worldwide.

PATIENTS AND METHODS

The predictive value of RR in classifying patients with AHF was investigated by processing several vital signs recorded in the ED.

RESULTS

HR and RR individually did not discriminate patients according to hospitalization length, Intensive Care Unit (ICU) admittance, mechanical respiratory support or death. The derivative indices, HR:RR and Respiratory Efficacy Index (REFI) (=RR×100/SatO₂), differentiated study patients regarding hospitalization length. Receiver operating characteristic curves predicting mortality and ICU admission for REFI and HR:RR revealed high accuracy, sensitivity and specificity for cut-off values of REFI >27 and HR:RR ≥4.

CONCLUSION

The RR and its derivative indices are easily accessible vital signs monitored at the ED which merit 'revitalization'.

Challenges of evaluating chronic heart failure and acute heart failure events in research studies using large health care databases

Epidemiological studies on heart failure (HF) using large health care databases are becoming increasingly frequent, as they represent an invaluable opportunity to characterize the importance and risk factors of HF from a population perspective. Nevertheless, because of its complex diagnosis and natural history, the heterogeneous use of the relevant terminology in routine clinical practice, and the limitations of some disease coding systems, HF can be a challenging condition to assess using large health care databases as the main source of information. In this narrative review, we discuss some of the challenges that researchers may face, with a special focus on the identification and validation of chronic HF cases and acute HF decompensations. For each of these challenges, we present some potential solutions inspired by the literature and/or based on our research experience, aimed at increasing the internal validity of research and at informing its interpretation. We also discuss future directions on the field, presenting constructive recommendations aimed at facilitating the conduct of valid epidemiological studies on HF in the coming years.

Relationship between left ventricular ejection fraction and mortality after myocardial infarction complicated by heart failure or left ventricular dysfunction

BACKGROUND

Identifying risk factors for specific modes of death in patients with heart failure (HF) or left ventricular (LV) dysfunction after acute myocardial infarction (MI) may help to avert events. We sought to evaluate LV ejection fraction (LVEF) as a prognosticator of specific death modes.

METHODS AND RESULTS

In an individual patient data meta-analysis of four merged trials (CAPRICORN, EPHESUS, OPTIMAAL, and VALIANT), Cox modelling was performed to study the association between baseline LVEF from 19,740 patients and types of death during follow-up. Over a median follow-up of 707 days 3419 deaths occurred. The distribution pattern for mode of death was similar across categories (LVEF < 25%, LVEF 25-35%, and LVEF > 35%). In multivariable models, the risk of all types of death increased with decreasing LVEF. If compared to LVEF > 35%, LVEF < 25% was associated with a 113% increased risk of sudden death (hazard ratio (HR) 2.13, 95% confidence interval (CI) 1.53-2.98), a 170% increased risk of HF death (HR 2.70, 95% CI 1.83-3.98), a 66% increased risk of other cardiovascular (CV) death (HR 1.66, 95% CI 1.14-2.42), and a 90% increased risk of non CV death (HR 1.90, 95% CI 1.15-3.14).

CONCLUSION

In patients with HF or LV dysfunction after acute MI, low LVEF is a ubiquitous risk marker associated with death regardless of type. The different modes of death are fairly equally represented throughout the categories of LVEF and sudden death remains a significant mode of death also in patients with LVEF > 35%.

Human serum albumin in cardiovascular diseases

Cardiovascular diseases are the leading cause of death worldwide. Endothelial dysfunction, inflammation and oxidative stress are at the forefront in the onset and development of atherosclerosis and many cardiovascular diseases. Epidemiological evidence is that low serum albumin levels are linked to incident ischemic heart disease, heart failure, atrial fibrillation, stroke and venous thromboembolism, independent of risk factors, body mass index and inflammation. Hypoalbuminemia has also emerged as an independent prognosticator in many cardiovascular diseases, such as coronary artery disease, heart failure, congenital heart disease, infective endocarditis and stroke, even after adjusting for usual causal factors and prognostic markers. Given physiological properties of serum albumin that include anti-inflammatory, antioxidant, anticoagulant and antiplatelet aggregation activity as well as colloid osmotic effect, hypoalbuminemia could act as an unrecognized modifiable risk factor. The purpose of this review is to provide an overview of the physiological properties of serum albumin, as well as prevalence, causes, prognostic value and potential contribution to the disease emergence and progression of hypoalbuminemia, and the resulting clinical implications.

[Serum albumin and cardiovascular diseases: A comprehensive review of the literature]

Cardiovascular diseases are the leading cause of death worldwide. Conceptually, endothelial dysfunction, inflammatory status and oxidative stress are at the forefront in the onset and development of most cardiovascular diseases, particularly coronary artery disease and heart failure. Serum albumin, the most abundant plasma protein, has many physiological properties, including anti-inflammatory, antioxidant and antiplatelet aggregation activity. It also plays an essential role in the fluid exchange across the capillary membrane. Definite evidence is that hypo-albuminemia is a powerful prognostic marker in the general population as well as in many pathological settings. In the more specific context of cardiovascular diseases, serum albumin is independently associated with the development of a variety of deleterious conditions such as coronary artery disease, heart failure, atrial fibrillation and stroke. Serum albumin has also emerged as a powerful prognostic parameter in patients with coronary artery disease, heart failure, congenital heart disease, infective endocarditis, cardiovascular surgery and stroke, regardless of usual prognostic markers. This prognostic value probably refers mainly to the malnutrition-inflammation syndrome and the severity of comorbidities. Nevertheless, hypo-albuminemia may act as an unknown and modifiable risk factor that contributes to the emergence and the pejorative evolution of cardiovascular diseases, mainly by exacerbation of inflammation, oxidative stress and platelet aggregation, and by pulmonary and myocardial edema. This article provides an overview of the physiological properties of serum albumin, the prevalence, causes, prognostic value and potential contribution to the emergence and aggravation of cardiovascular disease of hypoalbuminemia, as well as its clinical implications.

Heart rate prediction of outcome in heart failure following myocardial infarction depend on heart rhythm status an analysis from the high-risk myocardial infarction database initiative

BACKGROUND

Heart rate has been reported to be associated with adverse outcome in heart failure (HF) and myocardial infarction (MI), but conflicting evidence exists regarding its impact in patients with associated atrial fibrillation (AF).

OBJECTIVES

We investigated the differential impact of heart rate on clinical outcomes according to the presence or absence of AF in patients with reduced systolic function and/or HF after MI.

METHODS

We studied the association of heart rate with outcome using Cox-models in a merged dataset (n=28,771) of four randomized trials (CAPRICORN, EPHESUS, OPTIMAAL, and VALIANT).

RESULTS

At baseline, 3736 (13%) patients had AF. We identified a significant interaction between AF and heart rate, and a decreasing effect of heart rate with time, heart rate being less associated with outcome after 1year of follow-up (both p for interaction <0.001). We report associations with outcome separately in patients with and without AF. In addition, as neutral associations with outcome after 1year were estimated after adjustment on confounding factors, only association for the first year follow-up were provided. 10-bpm increase in heart rate conferred increased risk for all-cause mortality (1.27 [1.21 to 1.33], p<0.0001), CV-mortality (1.28 [1.22 to 1.34], p<0.0001), and HF-hospitalisation (1.25 [1.19 to 1.31], p<0.0001) in patients without AF. In contrast, in patients with AF, the incremental risk for 10-bpm increase in heart rate was attenuated for all-cause (1.14 [1.06 to 1.23], p=0.0007), CV-mortality (1.12 [1.03 to 1.22], p=0.006), and HF-hospitalisation (1.16 [1.07 to 1.26], p=0.0006, p for interaction with AF <0.001 for all outcomes).

CONCLUSIONS

In patients with reduced systolic function and/or HF post-MI, higher heart rate predicts increased major cardiovascular events during the first year following MI in patients without AF. This association is markedly attenuated in subjects with AF.

Plasma endothelin-1-related peptides as the prognostic biomarkers for heart failure: A PRISMA-compliant meta-analysis

BACKGROUND

Most studies reported that high plasma endothelin-1 (ET-1), big ET-1, and C-terminal proET-1 (CT-proET-1) were correlated with poor prognosis of heart failure (HF). However, available evidence remains controversial. To help solve the debate, we collected all the available studies and performed a meta-analysis.

METHODS

We searched the databases covering Embase, PubMed, Ovid, and Web of Science on June 28, 2017. The hazard ratio (HR) or risk ratio (RR) and its 95% confidence intervals (CIs) were collected and calculated by use of a random-effect model. Heterogeneity was assessed by Cochran's Q test, and publication bias was assessed by funnel plots with Egger's and Begg's linear regression test.

RESULTS

Thirty-two studies with 18,497 patients were included in the analysis. Results showed that circulating ET-1, big ET-1, and CT-proET-1 were positively correlated with high risk of adverse outcomes, with pooled RRs (95% CIs) of 2.22 (1.82-2.71, P < .001), 2.47 (1.93-3.17, P < .001), and 2.27 (1.57-3.29, P < .001), respectively. In the subgroup of death as primary outcome, the pooled RRs (95% CIs) were 2.13 (1.68-2.70, P < .001), 2.55 (1.82-3.57, P < .001), and 2.02 (1.39-2.92, P < .001) for ET-1, big ET-1, and CT-proET-1, respectively. No significant publication bias was observed in this study.

CONCLUSION

Our meta-analysis provided evidence that increased plasma levels of ET-1, big ET-1, and CT-proET-1 were associated with poor prognosis or mortality for HF populations.

European Society of Cardiology - Acute Cardiovascular Care Association position paper on safe discharge of acute heart failure patients from the emergency department

Heart failure is a global public health challenge frequently presenting to the emergency department. After initial stabilization and management, one of the most important decisions is to determine which patients can be safely discharged and which require hospitalization. This is a complex decision that depends on numerous subjective factors, including both the severity of the patient's underlying condition and an estimate of the acuity of the presentation. An emergency department observation period may help select the correct option. Ideally, during an observation period, risk stratification should be carried out using parameters specifically designed for use in the emergency department. Unfortunately, there is little objective literature to guide this disposition decision. An objective and reliable definition of low-risk characteristics to identify early discharge candidates is needed. Benchmarking outcomes in patients discharged from the emergency department without hospitalization could aid this process. Biomarker determinations, although undoubtedly useful in establishing diagnosis and predicting longer-term prognosis, require prospective validation for emergency department disposition guidance. The challenge of identifying emergency department acute heart failure discharge candidates will only be overcome by future multidisciplinary research defining the current knowledge gaps and identifying potential solutions.

Serum albumin level and hospital mortality in acute non-ischemic heart failure

Aims

Hypoalbuminemia is common in heart failure (HF), especially in elderly patients. It is associated with an increased risk of death. The present study sought to examine the prognostic significance of serum albumin level in the prediction of hospital mortality in patients admitted for acute non‐ischemic HF.

Methods and results

We examined the association between albumin and hospital mortality in a cohort of 546 patients admitted for acute non‐ischemic HF. None of the patients had infectious disease, severe arrhythmias (atrial fibrillation, ventricular tachycardia, ventricular fibrillation), required invasive ventilation, or presented with acute coronary syndrome or primary valvular disease. Thirty‐six patients (7%) died during the hospital stay. These patients were significantly older (78 ± 9 vs. 72 ± 12 years; P = 0.006), had higher heart rate (P < 0.0001), increased creatinine level (P = 0.01), lower systolic and diastolic blood pressures (P < 0.05), elevated leucocyte count (P = 0.001), and lower albumin levels (31.3 ± 5.6 g/L vs. 36.9 ± 4.1 g/L; P < 0.001). With multivariable analysis, age (P = 0.01), heart rate (P < 0.0003), diastolic blood pressure (P < 0.01), leukocyte count (P = 0.009), and serum albumin level (P < 0.0001) emerged as independent predictors of hospital mortality. Hypoalbuminemia (<34 g/L) yielded the best sensitivity (78.8%) and specificity (75%) for predicting hospital death.

Conclusions

Serum albumin level measured at admission can serve as a simple prognostic factor in acute non‐ischemic HF. Hypoalbuminemia is associated with increased risk of hospital mortality, especially in elderly patients.

[Optimization of the management of acute heart failure. New concept of fast-track]

The acute heart failure generates a very important number of hospitalizations for a high cost. A recent reflection on optimizing its management is ongoing, based on the fastest management in the emergency department, with a distinction between which patient should remain and who returns at home, and under what conditions, allowing to limit the number of hospitalizations. It will require a reorganization of emergency department and updating of decision algorithms and new guidelines of care.