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. 2024 Oct 14;17(10):1369.
doi: 10.3390/ph17101369.

Trends in Antidiabetic Drug Use and Safety of Metformin in Diabetic Patients with Varying Degrees of Chronic Kidney Disease from 2010 to 2021 in Korea: Retrospective Cohort Study Using the Common Data Model

Affiliations

Trends in Antidiabetic Drug Use and Safety of Metformin in Diabetic Patients with Varying Degrees of Chronic Kidney Disease from 2010 to 2021 in Korea: Retrospective Cohort Study Using the Common Data Model

Sung Hwan Joo et al. Pharmaceuticals (Basel). .

Abstract

Background/objectives: This study aimed to investigate trends in antidiabetic drug use and assess the risk of metformin-associated lactic acidosis (MALA) in patients with chronic kidney disease (CKD).

Methods: A retrospective observational analysis based on the common data model was conducted using electronic medical records from 2010 to 2021. The patients included were aged ≥18, diagnosed with CKD and type 2 diabetes, and had received antidiabetic medications for ≥30 days. MALA was defined as pH ≤ 7.35 and arterial lactate ≥4 mmol/L.

Results: A total of 8318 patients were included, with 6185 in CKD stages 1-2 and 2133 in stages 3a-5. Metformin monotherapy was the most prescribed regimen, except in stage 5 CKD. As CKD progressed, metformin use significantly declined; insulin and meglitinides were most frequently prescribed in end-stage renal disease. Over the study period, the use of SGLT2 inhibitors (13.3%) and DPP-4 inhibitors (24.5%) increased significantly, while sulfonylurea use decreased (p < 0.05). Metformin use remained stable in earlier CKD stages but significantly decreased in stage 3b or worse. The incidence rate (IR) of MALA was 1.22 per 1000 patient-years, with a significantly increased IR in stage 4 or worse CKD (p < 0.001).

Conclusions: Metformin was the most prescribed antidiabetic drug in CKD patients in Korea with a low risk of MALA. Antidiabetic drug use patterns varied across CKD stages, with a notable decline in metformin use in advanced CKD and a rise in SGLT2 inhibitor prescriptions, underscoring the need for further optimized therapy.

Keywords: chronic kid-ney disease; common data model (CDM); metformin-associated lactic acidosis; observational medical outcomes partnership (OMOP); pharmacoepidemiology; pharmacovigilance; real-world data (RWD); type 2 diabetes mellitus.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Flowchart of study patient selection. OMOP CDM, the observational medical outcomes partnership common data model; CKD, chronic kidney disease.
Figure 2
Figure 2
Patterns of prescribing antidiabetic drug regimen in patients with chronic kidney disease (CKD) by stages: (a) mild CKD (i.e., stage 1 to 2); (b) CKD stage 3a; (c) CKD stage 3b; (d) CKD stage 4; (e) CKD stage 5 receiving dialysis; and (f) CKD stage 5 not receiving dialysis. Abbreviations: AGI, alpha-glucosidase inhibitor; DPP4i, dipeptidyl peptidase-4 inhibitor; Glinide, meglitinide; MET, metformin; SU, sulfonylurea; TZD, thiazolidinedione.
Figure 3
Figure 3
Temporal trends of prescribing antidiabetic drugs in patients with chronic kidney disease (CKD) by stages: (a) mild CKD (i.e., stage 1 to 2); (b) CKD stage 3a; (c) CKD stage 3b to 5. Alpha-glucosidase inhibitor is not shown on the plot due to minimal use throughout the study period. Abbreviations: DPP4i, dipeptidyl peptidase-4 inhibitor; glinide, meglitinide; MET, metformin; SGLT2i, sodium-glucose cotransporter-2 inhibitor; SU, sulfonylurea; TZD, thiazolidinedione.

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