Cargando…
Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database
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...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771907/ https://www.ncbi.nlm.nih.gov/pubmed/31050099 http://dx.doi.org/10.1111/dom.13753 |
_version_ | 1783455794812944384 |
---|---|
author | Zhou, Fang L. Watada, Hirotaka Tajima, Yuki Berthelot, Mathilde Kang, Dian Esnault, Cyril Shuto, Yujin Maegawa, Hiroshi Koya, Daisuke |
author_facet | Zhou, Fang L. Watada, Hirotaka Tajima, Yuki Berthelot, Mathilde Kang, Dian Esnault, Cyril Shuto, Yujin Maegawa, Hiroshi Koya, Daisuke |
author_sort | Zhou, Fang L. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6771907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-67719072019-10-07 Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database Zhou, Fang L. Watada, Hirotaka Tajima, Yuki Berthelot, Mathilde Kang, Dian Esnault, Cyril Shuto, Yujin Maegawa, Hiroshi Koya, Daisuke Diabetes Obes Metab Original Articles 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. Blackwell Publishing Ltd 2019-06-03 2019-08 /pmc/articles/PMC6771907/ /pubmed/31050099 http://dx.doi.org/10.1111/dom.13753 Text en © 2019 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zhou, Fang L. Watada, Hirotaka Tajima, Yuki Berthelot, Mathilde Kang, Dian Esnault, Cyril Shuto, Yujin Maegawa, Hiroshi Koya, Daisuke Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database |
title | Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database |
title_full | Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database |
title_fullStr | Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database |
title_full_unstemmed | Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database |
title_short | Identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (PROFILE study): A retrospective analysis of a Japanese commercial medical database |
title_sort | identification of subgroups of patients with type 2 diabetes with differences in renal function preservation, comparing patients receiving sodium‐glucose co‐transporter‐2 inhibitors with those receiving dipeptidyl peptidase‐4 inhibitors, using a supervised machine‐learning algorithm (profile study): a retrospective analysis of a japanese commercial medical database |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6771907/ https://www.ncbi.nlm.nih.gov/pubmed/31050099 http://dx.doi.org/10.1111/dom.13753 |
work_keys_str_mv | AT zhoufangl identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT watadahirotaka identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT tajimayuki identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT berthelotmathilde identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT kangdian identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT esnaultcyril identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT shutoyujin identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT maegawahiroshi identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu AT koyadaisuke identificationofsubgroupsofpatientswithtype2diabeteswithdifferencesinrenalfunctionpreservationcomparingpatientsreceivingsodiumglucosecotransporter2inhibitorswiththosereceivingdipeptidylpeptidase4inhibitorsusingasupervisedmachinelearningalgorithmprofilestu |