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Effect of Hypoglycemic Drugs on Patients with Heart Failure with or without T2DM: A Bayesian Network Meta-analysis
Zhaolun Zhang1, Siqi Liu1, Jiawen Xian2
1Department of Cardiovascular Medicine, The Affiliated Hospital of Southwest Medical University, 646000 Luzhou, Sichuan, China.
Insights
Sotagliflozin shows promise in reducing heart failure (HF) hospitalizations and deaths in patients with and without diabetes. Further research is needed to confirm these findings on anti-diabetic drug efficacy for HF prognosis.
Area of Science:
- Cardiology
- Endocrinology
- Pharmacology
Background:
- Anti-diabetic medications exhibit cardioprotective effects in patients with diabetes and heart failure (HF).
- Evidence suggests these drugs may influence HF prognosis, necessitating further investigation.
Purpose of the Study:
- To conduct a Bayesian network meta-analysis evaluating anti-diabetic drugs' impact on HF patient prognosis.
- To compare the effectiveness of various anti-diabetic agents in HF patients, both with and without diabetes.
Main Methods:
- Systematic search of PubMed, Embase, Cochrane, and Web of Science for randomized controlled trials (RCTs) up to November 2024.
- Bayesian network meta-analysis to assess primary outcomes: HF re-admission, all-cause death, cardiovascular death, NT-proBNP, and LVEF.
- Inclusion of 33 RCTs with 29,888 participants.
Main Results:
- Sotagliflozin demonstrated the highest efficacy in reducing HF re-admission (0.84) and all-cause death (0.83).
- Liraglutide was most effective in reducing cardiovascular death (0.97) and NT-proBNP levels (0.69).
- Empagliflozin showed the best improvement in left ventricular ejection fraction (LVEF) (0.69).
Conclusions:
- Sotagliflozin may be the optimal choice for managing HF patients, irrespective of diabetes status.
- Findings should be interpreted cautiously due to the limited number of studies.
- High-quality research is essential to validate these results and guide clinical practice.
Background:
Anti-diabetic drugs have been noted to have a cardioprotective effect in patients with diabetes and heart failure (HF). The purpose of this study was to perform a Bayesian network meta-analysis to evaluate the impact of various anti-diabetic drugs on the prognosis of HF patients with and without diabetes.
Methods:
We searched PubMed, Embase, Cochrane, and Web of Science for randomized controlled trials (RCTs) published before November 2024 that investigated the use of anti-diabetic medications in patients with HF. Primary outcomes included re-admission due to HF, all-cause death, cardiovascular death, serum N-terminal pro-brain natriuretic peptide (NTpro-BNP) levels, and left ventricular ejection fraction (LVEF). A Bayesian network meta-analysis was used to compare the effectiveness of different anti-diabetic drugs.
Results:
A total of 33 RCTs involving 29,888 patients were included. Sotagliflozin was the most effective in reducing the risk of re-admission due to HF and all-cause death, with a cumulative probability of 0.84 and 0.83, respectively. Liraglutide reduced the risk of cardiovascular death in HF patients with a cumulative probability of 0.97 and had the best efficacy in reducing NTpro-BNP levels with a cumulative probability of 0.69. Empagliflozin was best in improving LVEF in HF patients, with a cumulative probability of 0.69.
Conclusions:
This Bayesian network meta-analysis demonstrates that sotagliflozin may be the best option for HF patients with and without diabetes. However, due to the small number of articles in this study, our results must be treated cautiously. Subsequently, there is an urgent need for more high-quality studies to validate our findings.
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