Effects of sacubitril-valsartan on heart failure patients with mid-range ejection fractions: A systematic review and meta-analysis

Sacubitril/valsartan can improve the cardiac function in heart failure patients with a history of cancer: An observational study

Sacubitril/Valsartan, the combination of angiotensin receptor inhibitor and neprilysin inhibitor, is now becoming the class 1 recommendation for HFrEF. Some studies have shown the positive effect of Sacubitril/Valsartan on HFrEF cancer patients, while there is devoid of evidence about the effect of this drug in aged cancer patients with HFmrEF and HFpEF. By searching the patients with a diagnosis of both cancer and Heart failure (HF) over 65, the patients who had received treatment with Sacubitril/Valsartan were selected as the candidates for Sacubitril/Valsartan group, and the patients who had received conventional HF therapy without Sacubitril/Valsartan were chosen as the control group. Data were collected for up to 9 months. We filtered 38 patients and 50 patients valid for Sacubitril/Valsartan group and control group, respectively. After initiation of heart failure management, our study found a better cardiac condition in Sacubitril/Valsartan group, having better LVEF, LVFS, NT-proBNP in 3rd, 6th, 9th month (P < .05) and better NYHA function classification after the treatment. We also observed fewer cases of deterioration on LAD (P = .029) and LVEDD (P = .023) in Sacubitril/Valsartan group. In subgroup analysis, our study showed that all 3 kinds of HF patients had better LVEF, LVFS, and NT-proBNP in Sacubitril/Valsartan group (P < .05). Our study further indicated that Sacubitril/Valsartan can improve cardiac function and benefit cardiac remolding in aged cancer patients of all 3 kinds of HF. This is the first study to provide new evidence for the use of Sacubitril/Valsartan in aged cancer patients of 3 kinds of HF.

Development and validation of a multivariate model for predicting heart failure hospitalization and mortality in patients receiving maintenance hemodialysis

BACKGROUND

Heart failure (HF) in patients undergoing maintenance hemodialysis (MHD) increases their hospitalization rates, mortality, and economic burden significantly. We aimed to develop and validate a predictive model utilizing contemporary deep phenotyping for individual risk assessment of all-cause mortality or HF hospitalization in patients on MHD.

MATERIALS AND METHODS

A retrospective review was conducted from January 2017 to October 2022, including 348 patients receiving MHD from four centers. The variables were adjusted by Cox regression analysis, and the clinical prediction model was constructed and verified.

RESULTS

The median follow-up durations were 14 months (interquartile range [IQR] 9-21) for the modeling set and 14 months (9-20) for the validation set. The composite outcome occurred in 72 (29.63%) of 243 patients in the modeling set and 39 (37.14%) of 105 patients in the validation set. The model predictors included age, albumin, history of cerebral hemorrhage, use of angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers/"sacubitril/valsartan", left ventricular ejection fraction, urea reduction ratio, N-terminal prohormone of brain natriuretic peptide, and right atrial size. The C-index was 0.834 (95% CI 0.784-0.883) for the modeling set and 0.853 (0.798, 0.908) for the validation set. The model exhibited excellent calibration across the complete risk profile, and the decision curve analysis (DCA) suggested its ability to maximize patient benefits.

CONCLUSION

The developed prediction model offered an accurate and personalized assessment of HF hospitalization risk and all-cause mortality in patients with MHD. It can be employed to identify high-risk patients and guide treatment and follow-up.

Practical Recommendations for the Use of Angiotensin Receptor-Neprilysin Inhibitors (ARNI) in Heart Failure: Insights from Indian Cardiologists

Heart failure is a significant public health concern characterized by notable rates of morbidity and mortality. Despite the presence of guideline-directed medical therapy (GDMT), its utilization remains inadequate. This practical recommendation paper focuses on the utilization of angiotensin receptor-neprilysin inhibitor (ARNI) as a pivotal treatment for heart failure with reduced ejection fraction (HFrEF), heart failure with preserved ejection fraction (HFpEF), and heart failure with improved ejection fraction (HFimpEF). The recommendations presented in this paper have been developed by a group of cardiologists in India who convened six advisory board meetings to discuss the utilization of ARNI in the management of heart failure. The paper emphasizes the importance of accurate biomarkers for diagnosing heart failure, particularly N-terminal pro-B-type natriuretic peptide (NT-proBNP) and B-type natriuretic peptide (BNP), which are commonly used. Additionally, the paper advocates the use of imaging, specifically echocardiography, in diagnosing and monitoring heart failure patients. Moreover, the paper highlights the role of ARNI in heart failure management, with numerous clinical trials that have demonstrated its effectiveness in reducing cardiovascular death or heart failure hospitalization, enhancing quality of life, and diminishing the risk of ventricular arrhythmias. This practical recommendation paper offers valuable insights into the utilization of ARNI in the management of heart failure, aiming to enhance the implementation of GDMT and ultimately alleviate the burden of heart failure on society.