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Decision Algorithm for Prescribing SGLT2 Inhibitors and GLP-1 Receptor Agonists for Diabetic Kidney Disease.

ABSTRACT: Diabetic kidney disease and its comorbid conditions, including atherosclerotic cardiovascular disease, heart failure, diabetes, and obesity, are interconnected conditions that compound the risk of kidney failure and cardiovascular mortality, and exponentiate health care costs. Sodium glucose cotransporter 2 inhibitor (SGLT2i) and glucagon-like peptide 1 receptor agonist (GLP-1 RA) are novel diabetes medications that prevent cardiovascular events and kidney failure. Clinical trials exploring the cardiovascular and kidney outcomes of SGLT2i and GLP-1 RA have fundamentally shifted the treatment paradigm of diabetes. Clinical guidelines for diabetes management recommend a more holistic approach beyond glycemic control and emphasize heart and kidney protection of SGLT2i and GLP-1 RA. However, the adoption of prescribing SGLT2i and GLP-1 RA for patients with diabetes and high cardiovascular and kidney risk has been slow. In this review, we provide a decision-making tool to help clinicians determine when to consider SGLT2i and GLP-1 RA for heart and kidney protection. First, we discuss a comprehensive risk assessment for patients with diabetic kidney disease. We compare the effectiveness of SGLT2i and GLP-1 RA for different risk categories. Then, we present a decision algorithm using cardiovascular and kidney failure risk stratification and the strength of current evidence for the use of SGLT2i and GLP-1 RA. Lastly, we review the adverse effects of SGLT2i and GLP-1 RA and propose mitigation strategies.

SUBMITTER: Li J

PROVIDER: S-EPMC7646234 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundNo study has compared the cardiovascular outcomes for sodium-glucose cotransporter-2 inhibitors (SGLT2i) head-to-head against other glucose-lowering therapies, including dipeptidyl peptidase 4 inhibitor (DDP4i) or glucagon-like peptide-1 receptor agonist (GLP-1RA)-which also have cardiovascular benefits-in patients with heart failure with reduced (HFrEF) or preserved (HFpEF) ejection fraction.MethodsMedicare fee-for-service data (2013-2019) were used to create four pair-wise comparison cohorts of type 2 diabetes patients with: (1a) HFrEF initiating SGLT2i versus DPP4i; (1b) HFrEF initiating SGLT2i versus GLP-1RA; (2a) HFpEF initiating SGLT2i versus DPP4i; and (2b) HFpEF initiating SGLT2i versus GLP-1RA. The primary outcomes were (1) hospitalization for heart failure (HHF) and (2) myocardial infarction (MI) or stroke hospitalizations. Adjusted hazards ratios (HR) and 95% CIs were estimated using inverse probability of treatment weighting.ResultsAmong HFrEF patients, initiation of SGLT2i versus DPP4i (cohort 1a; n = 13,882) was associated with a lower risk of HHF (adjusted Hazard Ratio [HR (95% confidence interval)], 0.67 (0.63, 0.72) and MI or stroke (HR: 0.86 [0.75, 0.99]), and initiation of SGLT2i versus GLP-1RA (cohort 1b; n = 6951) was associated with lower risk of HHF (HR: 0.86 [0.79, 0.93]), but not MI or stroke (HR: 1.02 [0.85, 1.22]). Among HFpEF patients, initiation of SGLT2i versus DPP4i (cohort 2a; n = 17,493) was associated with lower risk of HHF (HR: 0.65 [0.61, 0.69]) but not MI or stroke (HR: 0.90 [0.79, 1.02]), and initiation of SGLT2i versus GLP-1RA (cohort 2b; n = 9053) was associated with lower risk of HHF (0.89 [0.83, 0.96]), but not MI or stroke (HR: 0.97 [0.83, 1.14]). Results were robust across range of secondary outcomes (e.g., all-cause mortality) and sensitivity analyses.ConclusionsBias from residual confounding cannot be ruled out. Use of SGLT2i was associated with reduced risk of HHF against DPP4i and GLP-1RA, reduced risk of MI or stroke against DPP4i within the HFrEF subgroup, and comparable risk of MI or stroke against GLP-1RA. Notably, the magnitude of cardiovascular benefit conferred by SGLT2i was similar among patients with HFrEF and HFpEF.

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Decision Algorithm for Prescribing SGLT2 Inhibitors and GLP-1 Receptor Agonists for Diabetic Kidney Disease.

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