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Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese

BACKGROUND: Although both a history of cerebrovascular disease (CVD) and glucose abnormality are risk factors for CVD, few large studies have examined their association with subsequent CVD in the same cohort. Thus, we compared the impact of prior CVD, glucose status, and their combinations on subseq...

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Autores principales: Oe, Momoko, Fujihara, Kazuya, Harada-Yamada, Mayuko, Osawa, Taeko, Kitazawa, Masaru, Matsubayashi, Yasuhiro, Sato, Takaaki, Yaguchi, Yuta, Iwanaga, Midori, Seida, Hiroyasu, Yamada, Takaho, Sone, Hirohito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417951/
https://www.ncbi.nlm.nih.gov/pubmed/34479567
http://dx.doi.org/10.1186/s12933-021-01367-7
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author Oe, Momoko
Fujihara, Kazuya
Harada-Yamada, Mayuko
Osawa, Taeko
Kitazawa, Masaru
Matsubayashi, Yasuhiro
Sato, Takaaki
Yaguchi, Yuta
Iwanaga, Midori
Seida, Hiroyasu
Yamada, Takaho
Sone, Hirohito
author_facet Oe, Momoko
Fujihara, Kazuya
Harada-Yamada, Mayuko
Osawa, Taeko
Kitazawa, Masaru
Matsubayashi, Yasuhiro
Sato, Takaaki
Yaguchi, Yuta
Iwanaga, Midori
Seida, Hiroyasu
Yamada, Takaho
Sone, Hirohito
author_sort Oe, Momoko
collection PubMed
description BACKGROUND: Although both a history of cerebrovascular disease (CVD) and glucose abnormality are risk factors for CVD, few large studies have examined their association with subsequent CVD in the same cohort. Thus, we compared the impact of prior CVD, glucose status, and their combinations on subsequent CVD using real-world data. METHODS: This is a retrospective cohort study including 363,627 men aged 18–72 years followed for ≥ 3 years between 2008 and 2016. Participants were classified as normoglycemia, borderline glycemia, or diabetes defined by fasting plasma glucose, HbA1c, and antidiabetic drug prescription. Prior and subsequent CVD (i.e. ischemic stroke, transient ischemic attack, and non-traumatic intracerebral hemorrhage) were identified according to claims using ICD-10 codes, medical procedures, and questionnaires. RESULTS: Participants’ mean age was 46.1 ± 9.3, and median follow up was 5.2 (4.2, 6.7) years. Cox regression analysis showed that prior CVD + conferred excess risk for CVD regardless of glucose status (normoglycemia: hazard ratio (HR), 8.77; 95% CI 6.96–11.05; borderline glycemia: HR, 7.40, 95% CI 5.97–9.17; diabetes: HR, 5.73, 95% CI 4.52–7.25). Compared with normoglycemia, borderline glycemia did not influence risk of CVD, whereas diabetes affected subsequent CVD in those with CVD- (HR, 1.50, 95% CI 1.34–1.68). In CVD-/diabetes, age, current smoking, systolic blood pressure, high-density lipoprotein cholesterol, and HbA1c were associated with risk of CVD, but only systolic blood pressure was related to CVD risk in CVD + /diabetes. CONCLUSIONS: Prior CVD had a greater impact on the risk of CVD than glucose tolerance and glycemic control. In participants with diabetes and prior CVD, systolic blood pressure was a stronger risk factor than HbA1c. Individualized treatment strategies should consider glucose tolerance status and prior CVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-021-01367-7.
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spelling pubmed-84179512021-09-09 Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese Oe, Momoko Fujihara, Kazuya Harada-Yamada, Mayuko Osawa, Taeko Kitazawa, Masaru Matsubayashi, Yasuhiro Sato, Takaaki Yaguchi, Yuta Iwanaga, Midori Seida, Hiroyasu Yamada, Takaho Sone, Hirohito Cardiovasc Diabetol Original Investigation BACKGROUND: Although both a history of cerebrovascular disease (CVD) and glucose abnormality are risk factors for CVD, few large studies have examined their association with subsequent CVD in the same cohort. Thus, we compared the impact of prior CVD, glucose status, and their combinations on subsequent CVD using real-world data. METHODS: This is a retrospective cohort study including 363,627 men aged 18–72 years followed for ≥ 3 years between 2008 and 2016. Participants were classified as normoglycemia, borderline glycemia, or diabetes defined by fasting plasma glucose, HbA1c, and antidiabetic drug prescription. Prior and subsequent CVD (i.e. ischemic stroke, transient ischemic attack, and non-traumatic intracerebral hemorrhage) were identified according to claims using ICD-10 codes, medical procedures, and questionnaires. RESULTS: Participants’ mean age was 46.1 ± 9.3, and median follow up was 5.2 (4.2, 6.7) years. Cox regression analysis showed that prior CVD + conferred excess risk for CVD regardless of glucose status (normoglycemia: hazard ratio (HR), 8.77; 95% CI 6.96–11.05; borderline glycemia: HR, 7.40, 95% CI 5.97–9.17; diabetes: HR, 5.73, 95% CI 4.52–7.25). Compared with normoglycemia, borderline glycemia did not influence risk of CVD, whereas diabetes affected subsequent CVD in those with CVD- (HR, 1.50, 95% CI 1.34–1.68). In CVD-/diabetes, age, current smoking, systolic blood pressure, high-density lipoprotein cholesterol, and HbA1c were associated with risk of CVD, but only systolic blood pressure was related to CVD risk in CVD + /diabetes. CONCLUSIONS: Prior CVD had a greater impact on the risk of CVD than glucose tolerance and glycemic control. In participants with diabetes and prior CVD, systolic blood pressure was a stronger risk factor than HbA1c. Individualized treatment strategies should consider glucose tolerance status and prior CVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-021-01367-7. BioMed Central 2021-09-03 /pmc/articles/PMC8417951/ /pubmed/34479567 http://dx.doi.org/10.1186/s12933-021-01367-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Original Investigation
Oe, Momoko
Fujihara, Kazuya
Harada-Yamada, Mayuko
Osawa, Taeko
Kitazawa, Masaru
Matsubayashi, Yasuhiro
Sato, Takaaki
Yaguchi, Yuta
Iwanaga, Midori
Seida, Hiroyasu
Yamada, Takaho
Sone, Hirohito
Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese
title Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese
title_full Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese
title_fullStr Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese
title_full_unstemmed Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese
title_short Impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in Japanese
title_sort impact of prior cerebrovascular disease and glucose status on incident cerebrovascular disease in japanese
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417951/
https://www.ncbi.nlm.nih.gov/pubmed/34479567
http://dx.doi.org/10.1186/s12933-021-01367-7
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