Post-discharge rise in BNP and rehospitalization for heart failure

Prognostic utility of B-type natriuretic peptide and 6-min walk test in patients with acute decompensated heart failure

BACKGROUND

We aimed to assess the utility of B-type natriuretic peptide (BNP) and 6-min walk test (6 MWT) together as predictors of re-hospitalization and mortality in acute decompensated heart failure (ADHF) patients.

METHODS

This prospective, observational, comparative study was conducted at a tertiary care center in India between October 2016 and March 2018. Patients (aged≥18 years) with ADHF and left ventricular systolic dysfunction were included in this study. The study group (N = 100 patients) consisted of patients undergoing a second BNP test along with the 6 MWT at the time of discharge and at 3-months of discharge. The control group (N = 100 patients) consisted of patients who did not undergo these tests at discharge and/or at 3-months of discharge. Study endpoints were re-hospitalization within 6-months, and in-patient and 6-month mortality.

RESULTS

Total 200 patients diagnosed with ADHF were enrolled. Mean age was 53.46 ± 10.12 years in the study group and 52.98 ± 9.88 years in the control group. ROC analysis of BNP level to predict re-hospitalization revealed AUC of 0.935 (p < 0.001) at admission, 0.915 (p < 0.001) at discharge, and 0.783 (p < 0.001) at 3-months. Similarly, at discharge, ROC analysis of 6 MWT to predict death gave AUC of 0.670 (p = 0.011), and at 3-months, it was 0.838 (p < 0.001). ROC analysis of BNP level to predict mortality showed AUC of 0.960 (p < 0.001) at admission, 0.947 (p < 0.001) after discharge, and 0.960 (p = 0.002) at 3-months.

CONCLUSION

BNP levels and 6 MWT have good prognostic utility in ADHF patients, and thus may be beneficial in making therapeutic adjustments and taking precautionary measures in these patients.

Association Between Nurse-Led Multidisciplinary Education and Cardiac Events in Patients With Heart Failure: A Retrospective Chart Review

PURPOSE

This study examined the modifiable factors, including nurse-led multidisciplinary education and in/out-of-hospital rehabilitation, to predict cardiac events in patients with heart failure (HF) in South Korea.

METHODS

A retrospective review of the medical records was conducted using data of patients admitted for HF between June 2021 and April 2022. A total of 342 patients were included in this study. Information related to HF education, cardiac rehabilitation, and demographic and clinical characteristics were collected. Cardiac events, including emergency department visits, readmissions, and deaths, were defined as a composite of events. After adjusting for covariates, a multivariate Cox proportional hazard regression model was used to explore the association between modifiable factors and cardiac events in patients with HF.

RESULTS

During the follow-up period (median, 823 days), 123 patients (36.0%) experienced at least one cardiac event. In the Cox regression model, patients who received nurse-led multidisciplinary HF education during hospitalization were less likely to experience cardiac events (hazard ratio: 0.487; 95% confidence interval [CI]:0.239-0.993). Additionally, high NT-pro BNP levels were associated with an increased risk of cardiac events.

CONCLUSIONS

The education led by nurses on HF was a factor that reduced adverse prognoses in patients with HF. Our results highlight the importance of a nurse-led multidisciplinary approach during hospitalization.

Serum lipidomics reveals phosphatidylethanolamine and phosphatidylcholine disorders in patients with myocardial infarction and post-myocardial infarction-heart failure

BACKGROUND

Myocardial infarction (MI) and post-MI-heart failure (pMIHF) are a major cause of death worldwide, however, the underlying mechanisms of pMIHF from MI are not well understood. This study sought to characterize early lipid biomarkers for the development of pMIHF disease.

METHODS

Serum samples from 18 MI and 24 pMIHF patients were collected from the Affiliated Hospital of Zunyi Medical University and analyzed using lipidomics with Ultra High Performance Liquid Chromatography and Q-Exactive High Resolution Mass Spectrometer. The serum samples were tested by the official partial least squares discriminant analysis (OPLS-DA) to find the differential expression of metabolites between the two groups. Furthermore, the metabolic biomarkers of pMIHF were screened using the subject operating characteristic (ROC) curve and correlation analysis.

RESULTS

The average age of the 18 MI and 24 pMIHF participants was 57.83 ± 9.28 and 64.38 ± 10.89 years, respectively. The B-type natriuretic peptide (BNP) level was 328.5 ± 299.842 and 3535.96 ± 3025 pg/mL, total cholesterol(TC) was 5.59 ± 1.51 and 4.69 ± 1.13 mmol/L, and blood urea nitrogen (BUN) was 5.24 ± 2.15 and 7.20 ± 3.49 mmol/L, respectively. In addition, 88 lipids, including 76 (86.36%) down-regulated lipids, were identified between the patients with MI and pMIHF. ROC analysis showed that phosphatidylethanolamine (PE) (12:1e_22:0) (area under the curve [AUC] = 0.9306) and phosphatidylcholine (PC) (22:4_14:1) (AUC = 0.8380) could be potential biomarkers for the development of pMIHF. Correlation analysis showed that PE (12:1e_22:0) was inversely correlated with BNP and BUN, but positively correlated with TC. In contrast, PC (22:4_14:1) was positively associated with both BNP and BUN, and was negatively associated with TC.

CONCLUSIONS

Several lipid biomarkers were identified that could potentially be used to predict and diagnose patients with pMIHF. PE (12:1e_22:0) and PC (22:4_14:1) could sufficiently differentiate between patients with MI and pMIHF.

The Impact of Clinical, Biochemical, and Echocardiographic Parameters on the Quality of Life in Patients with Heart Failure with Reduced Ejection Fraction

Despite significant advances in HF diagnosis and treatment over the recent decades, patients still characterize poor long-term prognosis with many recurrent hospitalizations and reduced health-related quality of life (HRQoL). We aimed to check the potential relationship between clinical, biochemical, or echocardiographic parameters and HRQoL in patients with HF with reduced ejection fraction (HFrEF). We included 152 adult patients hospitalized due to chronic HFrEF. We used the WHOQoL-BREF questionnaire to assess HRQoL and GNRI to evaluate nutritional status. We also analyzed several biochemical parameters and left ventricle ejection fraction. Forty (26.3%) patients were hospitalized due to HF exacerbation and 112 (73.7%) due to planned HF evaluation. The median age was 57 (48–62) years. Patients with low somatic HRQoL score had lower transferrin saturation (23.7 ± 11.1 vs. 29.7 ± 12.5%; p = 0.01), LDL (2.40 (1.80–2.92) vs. 2.99 (2.38–3.60) mmol/L; p = 0.001), triglycerides (1.18 (0.91–1.57) vs. 1.48 (1.27–2.13) mmol/L; p = 0.006) and LVEF (20 (15–25) vs. 25 (20–30)%; p = 0.003). TIBC (64.9 (58.5–68.2) vs. 57.7 (52.7–68.6); p = 0.02) was significantly higher in this group. We observed no associations between HRQoL and age or gender. The somatic domain of WHOQoL-BREF in patients with HFrEF correlated with the clinical status as well as biochemical and echocardiographic parameters. Assessment of HRQoL in HFrEF seems important in everyday practice and can identify patients requiring a special intervention

Bioimpedance Vector Analysis for Heart Failure: Should We Put It on the Agenda?

Heart failure is a clinical syndrome, resulting in increased intracardiac pressure and/or decreased cardiac output under rest or stress. In acute decompensated heart failure, volume assessment is essential for clinical diagnosis and management. More and more evidence shows the advantages of bioimpedance vector analysis in this issue. Here, we critically present a brief review of bioimpedance vector analysis in the prediction and management of heart failure to give a reference to clinical physicians and guideline makers.

Stay Home! Stay Safe! First Post-Discharge Cardiologic Evaluation of Low-Risk-Low-BNP Heart Failure Patients in COVID-19 Era

Background. The COVID-19 pandemic has had a deep impact on periodic outpatient evaluations. The aim of this study was to evaluate the impact of low brain natriuretic peptide (BNP) values in predicting adverse events in heart failure (HF) patients in order to evaluate implications for safe delay of outpatient visits. Methods. This was a retrospective study. One-thousand patients (mean age: 72 ± 10 years, 561 women) with HF and BNP values <250 pg/mL at discharge were included. A 6-month follow-up was performed. The primary endpoint was a combination of deaths and readmissions for HF within 6-month after discharge. Results. At 6-month follow-up, 104 events (10.4%) were recorded (65 HF readmissions and 39 all-cause deaths). Univariate Cox analysis identified as significant predictors of outcome were age (p < 0.001, hazard ratio [HR] = 1.044), creatinine (p = 0.001, HR = 1.411), and BNP (p < 0.001, HR = 1.010). Multivariate Cox regression confirmed that BNP (p < 0.001, HR = 1.009), creatinine (p = 0.016, HR = 1.247), and age (p = 0.013, HR = 1.027) were independent predictors of events in HF patients with BNP values <250 pg/mL at discharge. Patients with BNP values >100 pg/mL and creatinine >1.0 mg/dL showed increased events rates (from 4.3% to 19.0%) as compared to those with lower values (p < 0.000, HR = 4.014). Conclusions. Low pre-discharge BNP levels were associated with low rates of cardiovascular events in HF patients, independently of the frequency of follow-up.

Optimizing Guideline-directed Medical Therapies for Heart Failure with Reduced Ejection Fraction During Hospitalization

Heart failure remains a huge societal concern despite medical advancement, with an annual direct cost of over $30 billion. While guideline-directed medical therapy (GDMT) is proven to reduce morbidity and mortality, many eligible patients with heart failure with reduced ejection fraction (HFrEF) are not receiving one or more of the recommended medications, often due to suboptimal initiation and titration in the outpatient setting. Hospitalization serves as a key point to initiate and titrate GDMT. Four evidence-based therapies have clinical benefit within 30 days of initiation and form a crucial foundation for HFrEF therapy: renin-angiotensin-aldosterone system inhibitors with or without a neprilysin inhibitor, β-blockers, mineralocorticoid-receptor-antagonists, and sodium-glucose cotransporter-2 inhibitors. The authors present a practical guide for the implementation of these four pillars of GDMT during a hospitalization for acute heart failure.