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Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models
AIMS/INTRODUCTION: Sodium–glucose cotransporter 2 inhibitors (SGLT2i) improve renal outcome in patients with type 2 diabetes mellitus, but the mechanism is not fully understood. The aim of this retrospective study was to assess the association of achieved blood pressure with renal outcomes in Japane...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779270/ https://www.ncbi.nlm.nih.gov/pubmed/32506833 http://dx.doi.org/10.1111/jdi.13318 |
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author | Kobayashi, Kazuo Toyoda, Masao Hatori, Nobuo Furuki, Takayuki Sakai, Hiroyuki Umezono, Tomoya Ito, Shun Suzuki, Daisuke Takeda, Hiroshi Minagawa, Fuyuki Degawa, Hisakazu Yamamoto, Hareaki Machimura, Hideo Chin, Keiichi Hishiki, Toshimasa Takihata, Masahiro Aoyama, Kouta Umezawa, Shinichi Minamisawa, Kohsuke Aoyama, Togo Hamada, Yoshiro Suzuki, Yoshiro Hayashi, Masahiro Hatori, Yutaka Sato, Kazuyoshi Miyakawa, Masaaki Tamura, Kouichi Kanamori, Akira |
author_facet | Kobayashi, Kazuo Toyoda, Masao Hatori, Nobuo Furuki, Takayuki Sakai, Hiroyuki Umezono, Tomoya Ito, Shun Suzuki, Daisuke Takeda, Hiroshi Minagawa, Fuyuki Degawa, Hisakazu Yamamoto, Hareaki Machimura, Hideo Chin, Keiichi Hishiki, Toshimasa Takihata, Masahiro Aoyama, Kouta Umezawa, Shinichi Minamisawa, Kohsuke Aoyama, Togo Hamada, Yoshiro Suzuki, Yoshiro Hayashi, Masahiro Hatori, Yutaka Sato, Kazuyoshi Miyakawa, Masaaki Tamura, Kouichi Kanamori, Akira |
author_sort | Kobayashi, Kazuo |
collection | PubMed |
description | AIMS/INTRODUCTION: Sodium–glucose cotransporter 2 inhibitors (SGLT2i) improve renal outcome in patients with type 2 diabetes mellitus, but the mechanism is not fully understood. The aim of this retrospective study was to assess the association of achieved blood pressure with renal outcomes in Japanese type 2 diabetes mellitus patients with chronic kidney disease. MATERIALS AND METHODS: We assessed 624 Japanese type 2 diabetes mellitus patients with chronic kidney disease taking SGLT2i for >1 year. The patients were classified as those with post‐treatment mean arterial pressure (MAP) of ≥92 mmHg (n = 344) and those with MAP of <92 mmHg (n = 280) for propensity score matching (1:1 nearest neighbor match with 0.04 of caliper value and no replacement). The end‐point was a composite of progression of albuminuria or a decrease in the estimated glomerular filtration rate by ≥15% per year. RESULTS: By propensity score matching, a matched cohort model was constructed, including 201 patients in each group. The incidence of renal composite outcome was significantly lower among patients with MAP of <92 mmHg than among patients with MAP of ≥92 mmHg (n = 11 [6%] vs n = 26 [13%], respectively, P = 0.001). The change in estimated glomerular filtration rate was similar in the two groups; however, the change in the albumin‐to‐creatinine ratio was significantly larger in patients with MAP of <92 mmHg. CONCLUSIONS: In Japanese type 2 diabetes mellitus patients with chronic kidney disease, blood pressure after SGLT2i administration influences the renal composite outcome. Blood pressure management is important, even during treatment with SGLT2i. |
format | Online Article Text |
id | pubmed-7779270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77792702021-01-08 Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models Kobayashi, Kazuo Toyoda, Masao Hatori, Nobuo Furuki, Takayuki Sakai, Hiroyuki Umezono, Tomoya Ito, Shun Suzuki, Daisuke Takeda, Hiroshi Minagawa, Fuyuki Degawa, Hisakazu Yamamoto, Hareaki Machimura, Hideo Chin, Keiichi Hishiki, Toshimasa Takihata, Masahiro Aoyama, Kouta Umezawa, Shinichi Minamisawa, Kohsuke Aoyama, Togo Hamada, Yoshiro Suzuki, Yoshiro Hayashi, Masahiro Hatori, Yutaka Sato, Kazuyoshi Miyakawa, Masaaki Tamura, Kouichi Kanamori, Akira J Diabetes Investig Articles AIMS/INTRODUCTION: Sodium–glucose cotransporter 2 inhibitors (SGLT2i) improve renal outcome in patients with type 2 diabetes mellitus, but the mechanism is not fully understood. The aim of this retrospective study was to assess the association of achieved blood pressure with renal outcomes in Japanese type 2 diabetes mellitus patients with chronic kidney disease. MATERIALS AND METHODS: We assessed 624 Japanese type 2 diabetes mellitus patients with chronic kidney disease taking SGLT2i for >1 year. The patients were classified as those with post‐treatment mean arterial pressure (MAP) of ≥92 mmHg (n = 344) and those with MAP of <92 mmHg (n = 280) for propensity score matching (1:1 nearest neighbor match with 0.04 of caliper value and no replacement). The end‐point was a composite of progression of albuminuria or a decrease in the estimated glomerular filtration rate by ≥15% per year. RESULTS: By propensity score matching, a matched cohort model was constructed, including 201 patients in each group. The incidence of renal composite outcome was significantly lower among patients with MAP of <92 mmHg than among patients with MAP of ≥92 mmHg (n = 11 [6%] vs n = 26 [13%], respectively, P = 0.001). The change in estimated glomerular filtration rate was similar in the two groups; however, the change in the albumin‐to‐creatinine ratio was significantly larger in patients with MAP of <92 mmHg. CONCLUSIONS: In Japanese type 2 diabetes mellitus patients with chronic kidney disease, blood pressure after SGLT2i administration influences the renal composite outcome. Blood pressure management is important, even during treatment with SGLT2i. John Wiley and Sons Inc. 2020-07-10 2021-01 /pmc/articles/PMC7779270/ /pubmed/32506833 http://dx.doi.org/10.1111/jdi.13318 Text en © 2020 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/3.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Articles Kobayashi, Kazuo Toyoda, Masao Hatori, Nobuo Furuki, Takayuki Sakai, Hiroyuki Umezono, Tomoya Ito, Shun Suzuki, Daisuke Takeda, Hiroshi Minagawa, Fuyuki Degawa, Hisakazu Yamamoto, Hareaki Machimura, Hideo Chin, Keiichi Hishiki, Toshimasa Takihata, Masahiro Aoyama, Kouta Umezawa, Shinichi Minamisawa, Kohsuke Aoyama, Togo Hamada, Yoshiro Suzuki, Yoshiro Hayashi, Masahiro Hatori, Yutaka Sato, Kazuyoshi Miyakawa, Masaaki Tamura, Kouichi Kanamori, Akira Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models |
title | Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models |
title_full | Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models |
title_fullStr | Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models |
title_full_unstemmed | Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models |
title_short | Blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: Analysis using propensity score‐matched models |
title_sort | blood pressure after treatment with sodium–glucose cotransporter 2 inhibitors influences renal composite outcome: analysis using propensity score‐matched models |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779270/ https://www.ncbi.nlm.nih.gov/pubmed/32506833 http://dx.doi.org/10.1111/jdi.13318 |
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