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Can glucose-lowering medications improve outcomes in non-diabetic heart failure patients? A Bayesian network meta-analysis.
Yeong, Trevor; Mai, Aaron Shengting; Lim, Oliver Z H; Ng, Cheng Han; Chin, Yip Han; Tay, Phoebe; Lin, Chaoxing; Muthiah, Mark; Khoo, Chin Meng; Dalakoti, Mayank; Loh, Poay-Huan; Chan, Mark; Yeo, Tiong-Cheng; Foo, Roger; Wong, Raymond; Chew, Nicholas W S; Lin, Weiqin.
Affiliation
  • Yeong T; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Mai AS; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Lim OZH; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Ng CH; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Chin YH; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Tay P; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Lin C; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Muthiah M; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Khoo CM; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore.
  • Dalakoti M; Division of Endocrinology, Department of Medicine, National University Hospital, Singapore.
  • Loh PH; Department of Cardiology, National University Heart Centre, Tower Block Level 9, 1E Kent Ridge Road, 119228, Singapore.
  • Chan M; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Yeo TC; Department of Cardiology, National University Heart Centre, Tower Block Level 9, 1E Kent Ridge Road, 119228, Singapore.
  • Foo R; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Wong R; Department of Cardiology, National University Heart Centre, Tower Block Level 9, 1E Kent Ridge Road, 119228, Singapore.
  • Chew NWS; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, 117597, Singapore.
  • Lin W; Department of Cardiology, National University Heart Centre, Tower Block Level 9, 1E Kent Ridge Road, 119228, Singapore.
ESC Heart Fail ; 9(2): 1338-1350, 2022 04.
Article in En | MEDLINE | ID: mdl-35092176
AIMS: The cardioprotective effects of glucose-lowering medications in diabetic patients with heart failure (HF) are well known. Several large randomized controlled trials (RCTs) have recently suggested that the cardioprotective effects of glucose-lowering medications extend to HF patients regardless of diabetic status. The aim of this study was to conduct a Bayesian network meta-analysis to evaluate the impact of various glucose-lowering medications on the outcomes of non-diabetic HF patients. METHODS AND RESULTS: Medline and Embase were searched for RCTs investigating the use of glucose-lowering medications in non-diabetic HF patients in August 2021. Studies were included in accordance with the inclusion and exclusion criteria, and data were extracted with a pre-defined datasheet. Primary outcomes include serum N-terminal prohormone of brain natriuretic peptide (NT-proBNP) levels, left ventricular ejection fraction (LVEF), and maximal oxygen consumption (PVO2 ). A Bayesian network meta-analysis was performed to compare the effectiveness of different classes of glucose-lowering medications in improving HF outcomes. Risk-of-bias was assessed using Cochrane Risk-of-Bias tool 2.0 for randomized trials (ROB2). Seven RCTs involving 2897 patients were included. Sodium-glucose transporter 2 inhibitor (SGLT2i) was the most favourable in lowering NT-proBNP, with the significant reduction in NT-proBNP when compared with glucagon-like peptide-1 receptor agonists (GLP1-RA) [mean differences (MD): -229.59 pg/mL, 95%-credible intervals (95%-CrI): -238.31 to -220.91], metformin (MD: -237.15 pg/mL, 95%-CrI: -256.19 to -218.14), and placebo (MD: -228.00 pg/mL, 95%-CrI: -233.99 to -221.99). SGLT2i was more effective in improving LVEF for HF with reduced ejection fraction patients relative to GLP1-RA (MD: 8.09%, 95%-CrI: 6.30 to 9.88) and placebo (MD: 6.10%, 95%-CrI: 4.37 to 7.84). SGLT2i and GLP1-RA were more favourable to placebo in improving PVO2 , with significant increase of PVO2 at a MD of 1.60 mL/kg/min (95%-CrI: 0.63 to 2.57) and 0.86 mL/kg/min (95%-CrI: 0.66 to 1.06), respectively. All three drugs had comparable safety profiles when compared with placebo. CONCLUSIONS: This Bayesian network meta-analysis demonstrated that SGLT2i, when compared with GLP1-RA and metformin, was superior in improving LVEF in HF with reduced ejection fraction patients, as well as improving PVO2 and NT-proBNP in non-diabetic HF patients. Further large-scale prospective studies are needed to confirm these preliminary findings.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sodium-Glucose Transporter 2 Inhibitors / Heart Failure Type of study: Clinical_trials / Observational_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: ESC Heart Fail Year: 2022 Type: Article Affiliation country: Singapore

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sodium-Glucose Transporter 2 Inhibitors / Heart Failure Type of study: Clinical_trials / Observational_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: ESC Heart Fail Year: 2022 Type: Article Affiliation country: Singapore