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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Fang L., Watada, Hirotaka, Tajima, Yuki, Berthelot, Mathilde, Kang, Dian, Esnault, Cyril, Shuto, Yujin, Maegawa, Hiroshi, Koya, Daisuke
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