Risk Factors for Heart Failure

Predictive Value of Pro-BNP for Heart Failure Readmission after an Acute Coronary Syndrome

BACKGROUND

N-terminal pro-brain natural peptide (NT-pro-BNP) is a well-established biomarker of tissue congestion and has prognostic value in patients with heart failure (HF). Nonetheless, there is scarce evidence on its predictive capacity for HF re-admission after an acute coronary syndrome (ACS). We performed a prospective, single-center study in all patients discharged after an ACS. HF re-admission was analyzed by competing risk regression, taking all-cause mortality as a competing event. Results are presented as sub-hazard ratios (sHR). Recurrent hospitalizations were tested by negative binomial regression, and results are presented as incidence risk ratio (IRR).

RESULTS

Of the 2133 included patients, 528 (24.8%) had HF during the ACS hospitalization, and their pro-BNP levels were higher (3220 pg/mL vs. 684.2 pg/mL; p < 0.001). In-hospital mortality was 2.9%, and pro-BNP was similarly higher in these patients. Increased pro-BNP levels were correlated to increased risk of HF or death during the hospitalization. Over follow-up (median 38 months) 243 (11.7%) patients had at least one hospital readmission for HF and 151 (7.1%) had more than one. Complete revascularization had a preventive effect on HF readmission, whereas several other variables were associated with higher risk. Pro-BNP was independently associated with HF admission (sHR: 1.47) and readmission (IRR: 1.45) at any age. Significant interactions were found for the predictive value of pro-BNP in women, diabetes, renal dysfunction, STEMI and patients without troponin elevation.

CONCLUSIONS

In-hospital determination of pro-BNP is an independent predictor of HF readmission after an ACS.

Model-based comorbidity clusters in patients with heart failure: association with clinical outcomes and healthcare utilization

BACKGROUND

Comorbidities affect outcomes in heart failure (HF), but are not reflected in current HF classification. The aim of this study is to characterize HF groups that account for higher-order interactions between comorbidities and to investigate the association between comorbidity groups and outcomes.

METHODS

Latent class analysis (LCA) was performed on 12 comorbidities from patients with HF identified from administrative claims data in the USA (OptumLabs Data Warehouse®) between 2008 and 2018. Associations with admission to hospital and mortality were assessed with Cox regression. Negative binomial regression was used to examine rates of healthcare use.

RESULTS

In a population of 318,384 individuals, we identified five comorbidity clusters, named according to their dominant features: low-burden, metabolic-vascular, anemic, ischemic, and metabolic. Compared to the low-burden group (minimal comorbidities), patients in the metabolic-vascular group (exhibiting a pattern of diabetes, obesity, and vascular disease) had the worst prognosis for admission (HR 2.21, 95% CI 2.17-2.25) and death (HR 1.87, 95% CI 1.74-2.01), followed by the ischemic, anemic, and metabolic groups. The anemic group experienced an intermediate risk of admission (HR 1.49, 95% CI 1.44-1.54) and death (HR 1.46, 95% CI 1.30-1.64). Healthcare use also varied: the anemic group had the highest rate of outpatient visits, compared to the low-burden group (IRR 2.11, 95% CI 2.06-2.16); the metabolic-vascular and ischemic groups had the highest rate of admissions (IRR 2.11, 95% CI 2.08-2.15, and 2.11, 95% CI 2.07-2.15) and healthcare costs.

CONCLUSIONS

These data demonstrate the feasibility of using LCA to classify HF based on comorbidities alone and should encourage investigation of multidimensional approaches in comorbidity management to reduce admission and mortality risk among patients with HF.

Cost-utility analysis of add-on dapagliflozin treatment in heart failure with reduced ejection fraction

BACKGROUND

Dapagliflozin is an antidiabetic medication that has been shown to reduce the risk of heart failure hospitalization and cardiovascular death in patients with heart failure with reduced ejection fraction (HFrEF). This study aimed to determine the cost-utility of add-on dapagliflozin treatment for HFrEF.

METHODS

An analytical decision model was constructed to assess lifetime costs and outcomes from a healthcare system perspective. The cohort comprised HFrEF patients with left ventricular ejection fraction (LVEF) ≤40%, and New York Heart Association (NYHA) class II-IV with an average age of 65 years. Clinical inputs were derived from the results of the Dapagliflozin and Prevention of Adverse-Outcomes in Heart Failure (DAPA-HF) trial. Risk of non-cardiovascular death data, readmission rate data, and treatment-related cost data were based on Thai population. The outcomes and costs were discounted at 3% annually. A series of sensitivity analyses were also conducted.

RESULTS

The increased cost of dapagliflozin add-on treatment from 17,442 THB (559 USD) to 54,405 THB (1745 USD) was associated with a QALY gain from 6.33 to 6.92 compared to standard therapy, yielding an ICER of 62,090 THB/QALY (1991 USD/QALY). Sensitivity analyses revealed that the addition of dapagliflozin to the standard treatment demonstrated an 87% cost-effectiveness strategy at a level of willingness to pay (WTP) of 160,000 THB/QALY (5131 USD/QALY). ICER was higher in non-diabetes compared to diabetes (68,304 vs 47,613 THB/QALY or 2191 vs 1527 USD/QALY).

CONCLUSIONS

Dapagliflozin is a cost-effective add-on therapy for patients with HFrEF at a WTP of 160,000 THB/QALY (5131 USD/QALY).

Design and Synthesis of an Aniline Derivative with Biological Activity on Heart Failure

BACKGROUND

Several compounds have been synthesized as a therapeutic alternative for heart failure; however, its preparation requires special conditions.

OBJECTIVE

The aim of this study, was to synthesize some aniline derivatives (4-9) from 3- ethynylaniline to evaluate their biological activity against heart failure.

METHODS

The synthesis of aniline derivatives involved a series of reactions such as etherification, addition, and cyclization. The structure of all compounds obtained was confirmed by spectroscopic and spectrometric methods. In addition, to evaluate the biological activity of compounds, an ischemia/reperfusion injury model was used.

RESULTS

The results showed that compound 8 decreases heart failure, which translates into a decrease in the infarction area compared to compounds 4-7 and 9.

CONCLUSION

This study reports a facile method for the preparation of aniline derivatives. This method offers some advantages such as; a simple procedure, low cost, and easy work up. In addition, compound 8 showed an interesting biological activity against heart failure. This phenomenon is particularly interesting because the biological activity induced by this compound could involve a molecular mechanism that is different from other drugs used for the treatment of heart failure.