Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation between sglt2 inhibitors and dpp4 inhibitors using a supervised machine learning algorithm (profile study): A Retrospective analysis of a japanese commercial medical database.

DIABETES OBESITY & METABOLISM(2019)

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摘要
Aims To investigate the effects of sodium-glucose co-transporter-2 (SGLT2) inhibitors vs. dipeptidyl peptidase-4 (DPP-4) inhibitors on renal function preservation (RFP) using real-world data of patients with type 2 diabetes in Japan, and to identify which subgroups of patients obtained greater RFP benefits with SGLT2 inhibitors vs. DPP-4 inhibitors. Methods We retrospectively analysed claims data recorded in the Medical Data Vision database in Japan of patients with type 2 diabetes (aged >= 18 years) prescribed any SGLT2 inhibitor or any DPP-4 inhibitor between May 2014 and September 2016 (identification period), in whom estimated glomerular filtration rate (eGFR) was measured at least twice (baseline, up to 6 months before the index date; follow-up, 9 to 15 months after the index date) with continuous treatment until the follow-up eGFR. The endpoint was the percentage of patients with RFP, defined as no change or an increase in eGFR from baseline to follow-up. A proprietary supervised learning algorithm (Q-Finder; Quinten, Paris, France) was used to identify the profiles of patients with an additional RFP benefit of SGLT2 inhibitors vs. DPP-4 inhibitors. Results Data were available for 990 patients prescribed SGLT2 inhibitors and 4257 prescribed DPP-4 inhibitors. The proportion of patients with RFP was significantly greater in the SGLT2 inhibitor group (odds ratio 1.27; P = 0.01). The Q-Finder algorithm identified four clinically relevant subgroups showing superior RFP with SGLT2 inhibitors (P < 0.1): no hyperlipidaemia and eGFR >= 79 mL/min/1.73 m(2); eGFR >= 79 mL/min/1.73 m(2) and diabetes duration <= 1.2 years; eGFR >= 75 mL/min/1.73 m(2) and use of antithrombotic agents; and haemoglobin <= 13.4 g/dL and LDL cholesterol >= 95.1 mg/dL. In each profile, glycaemic control was similar in the two groups. Conclusion SGLT2 inhibitors were associated with more favourable RFP vs. DPP-4 inhibitors in patients with certain profiles in real-world settings in Japan.
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关键词
DPP-4 inhibitor,machine-learning algorithm,real-world clinical practice,renal function,SGLT2 inhibitor,type 2 diabetes
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