Dataset Information

Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis.

ABSTRACT: To investigate the effect of sodium-glucose cotransporter 2 (SGLT-2) inhibitors and glucagon-like peptide 1 (GLP-1) agonists on glycemic variability (GV), the mean amplitude of glucose excursion (MAGE), mean blood glucose (MBG) levels, and percentage of time maintaining euglycemia were evaluated. Randomized controlled trials evaluating the efficacy of SGLT-2 inhibitors and GLP-1 agonists for treating people with diabetes were selected through searches of PubMed, EMBASE, and other databases. Sixteen studies were finally analyzed. There were no differences in the reductions in MAGE after treatment with SGLT-2 inhibitors or GLP-1 agonists (standardized mean difference (SMD) = -0.59, 95% CI = -0.82 to -0.36 vs. SMD = -0.43, 95% CI = -0.51 to -0.35, respectively), and treatment with SGLT-2 inhibitors was associated with an increased reduction in MBG levels (SMD = -0.56, 95% CI = -0.65 to -0.48, p < 0.00001). Monotherapy and add-on therapy with medications were correlated with MAGE and MBG level reductions. In conclusion, SGLT-2 inhibitors and GLP-1 agonists were associated with a reduction in GV and could be alternatives for treating people with diabetes.

SUBMITTER: Lee H

PROVIDER: S-EPMC8470178 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Lee Heeyoung H Park Se-Eun SE Kim Eun-Young EY

Journal of clinical medicine 20210909 18

To investigate the effect of sodium-glucose cotransporter 2 (SGLT-2) inhibitors and glucagon-like peptide 1 (GLP-1) agonists on glycemic variability (GV), the mean amplitude of glucose excursion (MAGE), mean blood glucose (MBG) levels, and percentage of time maintaining euglycemia were evaluated. Randomized controlled trials evaluating the efficacy of SGLT-2 inhibitors and GLP-1 agonists for treating people with diabetes were selected through searches of PubMed, EMBASE, and other databases. Sixt ...[more]

PMID: 34575189

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Project description:Aims/hypothesisA precision medicine approach in type 2 diabetes could enhance targeting specific glucose-lowering therapies to individual patients most likely to benefit. We aimed to use the recently developed Bayesian causal forest (BCF) method to develop and validate an individualised treatment selection algorithm for two major type 2 diabetes drug classes, sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP1-RA).MethodsWe designed a predictive algorithm using BCF to estimate individual-level conditional average treatment effects for 12-month glycaemic outcome (HbA1c) between SGLT2i and GLP1-RA, based on routine clinical features of 46,394 people with type 2 diabetes in primary care in England (Clinical Practice Research Datalink; 27,319 for model development, 19,075 for hold-out validation), with additional external validation in 2252 people with type 2 diabetes from Scotland (SCI-Diabetes [Tayside & Fife]). Differences in glycaemic outcome with GLP1-RA by sex seen in clinical data were replicated in clinical trial data (HARMONY programme: liraglutide [n=389] and albiglutide [n=1682]). As secondary outcomes, we evaluated the impacts of targeting therapy based on glycaemic response on weight change, tolerability and longer-term risk of new-onset microvascular complications, macrovascular complications and adverse kidney events.ResultsModel development identified marked heterogeneity in glycaemic response, with 4787 (17.5%) of the development cohort having a predicted HbA1c benefit >3 mmol/mol (>0.3%) with SGLT2i over GLP1-RA and 5551 (20.3%) having a predicted HbA1c benefit >3 mmol/mol with GLP1-RA over SGLT2i. Calibration was good in hold-back validation, and external validation in an independent Scottish dataset identified clear differences in glycaemic outcomes between those predicted to benefit from each therapy. Sex, with women markedly more responsive to GLP1-RA, was identified as a major treatment effect modifier in both the UK observational datasets and in clinical trial data: HARMONY-7 liraglutide (GLP1-RA): 4.4 mmol/mol (95% credible interval [95% CrI] 2.2, 6.3) (0.4% [95% CrI 0.2, 0.6]) greater response in women than men. Targeting the two therapies based on predicted glycaemic response was also associated with improvements in short-term tolerability and long-term risk of new-onset microvascular complications.Conclusions/interpretationPrecision medicine approaches can facilitate effective individualised treatment choice between SGLT2i and GLP1-RA therapies, and the use of routinely collected clinical features for treatment selection could support low-cost deployment in many countries.

Project description:ObjectiveTo evaluate the cardiovascular and renal benefits of finerenone, sodium-glucose cotransporter-2 inhibitors (SGLT2i) and glucagonlike peptide-1 receptor agonists (GLP-1 RA) in patients with Type 2 Diabetes Mellitus (T2DM) and chronic kidney disease (CKD) with network meta-analysis.MethodsSystematic literature searches were conducted of PubMed, Cochrane Library, Web of Science, Medline and Embase covering January 1, 2000 to December 30, 2021. Randomized control trials (RCTs) comparing finerenone, SGLT-2i and GLP-1 RA in diabetics with CKD were selected. We performed a network meta-analysis to compare the two drugs and finerenone indirectly. Results were reported as risk ratio (RR) with corresponding 95% confidence interval (CI).Results18 RCTs involving 51,496 patients were included. Finerenone reduced the risk of major adverse cardiovascular events (MACE), renal outcome and hospitalization for heart failure (HHF) (RR [95% CI]; 0.88 [0.80-0.97], 0.86 [0.79-0.93], 0.79 [0.67,0.92], respectively). SGLT-2i were associated with reduced risks of MACE (RR [95% CI]; 0.84 [0.78-0.90]), renal outcome (RR [95% CI]; 0.67 [0.60-0.74], HHF (RR [95% CI]; 0.60 [0.53-0.68]), all-cause death (ACD) (RR [95% CI]; 0.89 [0.81-0.91]) and cardiovascular death (CVD) (RR [95% CI]; 0.86 [0.77-0.96]) compared to placebo. GLP-1 RA were associated with a lower risk of MACE (RR [95% CI]; 0.86 [0.78-0.94]). SGLT2i had significant effect in comparison to finerenone (finerenone vs SGLT2i: RR [95% CI]; 1.29 [1.13-1.47], 1.31 [1.07-1.61], respectively) and GLP-1 RA (GLP-1 RA vs SGLT2i: RR [95% CI]; 1.36 [1.16-1.59], 1.49 [1.18-1.89], respectively) in renal outcome and HHF.ConclusionsIn patients with T2DM and CKD, SGLT2i, GLP-1 RA and finerenone were comparable in MACE, ACD and CVD. SGLT2i significantly decreased the risk of renal events and HHF compared with finerenone and GLP-1 RA. Among GLP-1 RA, GLP-1 analogues showed significant effect in reducing cardiovascular events compared with exendin-4 analogues.

Project description:Background: The objective of this review was to assess the risk of lower limb amputation (LLA) in type 2 diabetic patients based on the use of sodium-glucose cotransporter 2 inhibitors (SGLT2i) versus dipeptidyl peptidase 4 inhibitors (DPP4i) or glucagon-like peptide-1 receptor agonists (GLP1a). Methods: PubMed, CENTRAL, Scopus, Web of Science, and Embase were referenced for articles published up to 5 February 2023. All types of studies comparing the drugs for LLA risk and reporting hazard ratios (HR) were included. Results: Thirteen studies with 2,095,033 patients were included. Meta-analysis of eight studies comparing SGLT2i with Dipeptidyl peptidase inhibitors (DPPi) showed that there was no difference in the risk of LLA between the two drug groups (HR: 0.98 95% CI: 0.73, 1.31 I2 = 89%). The outcomes were unchanged on sensitivity analysis. Another pooled analysis of six studies found no significant difference in the risk of LLA between SGLT2i and GLP1a users (HR: 1.26; 95% CI: 0.99, 1.60; I2 = 69%). The exclusion of a single study showed an increased risk of LLA with SGLT2i (HR: 1.35; 95% CI: 1.14, 1.60; I2 = 14%). Conclusion: The current updated meta-analysis found no significant difference in the risk of LLA between SGLT2i and DPP4i users. A tendency of increased risk of LLA was noted with SGLT2i as compared to GLP1a. Further studies shall increase the robustness of current findings. Plain language summary Risk of lower limb amputation with SGLT2 inhibitors in comparison with DPP4 inhibitors or GLP-1 agonists among diabetic patients Diabetic foot leading to lower limb amputation (LLA) is a common complication of diabetes mellitus (DM). We compared the risk of LLA in DM patients taking either sodium-glucose cotransporter 2 inhibitors (SGLT2i) or dipeptidyl peptidase 4 inhibitors (DPP4i) / glucagon-like peptide-1 receptor agonists (GLP1a). We searched the available literature for published studies comparing the risk of LLA with SGLT2i versus DPP4i or GLP1a. Individual study data were combined to generate a comprehensive result. We could find 13 studies with data from approximately 2 million patients. After combining the data, we noted no difference in the risk of LLA between patients using SGLT2i versus DPPi or GLP1a. Nevertheless, when data from a single study was removed from the combined analysis, we noted an increased risk of LLA with SGLT2i in comparison with GLP1a users. To conclude, our study, which is a comprehensive literature review, found that there is no difference in the risk of LLA between SGLT2i and DPP4i users. A tendency of increased risk of LLA was seen with SGLT2i as compared to GLP1a, which requires further research.

Dataset Information

Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Publications

Glycemic Variability Impacted by SGLT2 Inhibitors and GLP 1 Agonists in Patients with Diabetes Mellitus: A Systematic Review and Meta-Analysis.

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