Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome
Abstract Background Impaired glucose metabolism is an established risk factor for coronary artery disease. Previous studies revealed that glycemic variability (GV) is also important for glucose metabolism in patients with acute coronary syndrome (ACS). We explored the association between GV and prog...
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doaj-2ba0740fcb134ab894d3c8322528f4b22020-11-24T22:15:25ZengBMCCardiovascular Diabetology1475-28402018-08-0117111010.1186/s12933-018-0761-5Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndromeHironori Takahashi0Noriaki Iwahashi1Jin Kirigaya2Shunsuke Kataoka3Yugo Minamimoto4Masaomi Gohbara5Takeru Abe6Kozo Okada7Yasushi Matsuzawa8Masaaki Konishi9Nobuhiko Maejima10Kiyoshi Hibi11Masami Kosuge12Toshiaki Ebina13Kouichi Tamura14Kazuo Kimura15Division of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterAdvanced Critical Care and Emergency Center, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDivision of Cardiology, Yokohama City University Medical CenterDepartment of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of MedicineDivision of Cardiology, Yokohama City University Medical CenterAbstract Background Impaired glucose metabolism is an established risk factor for coronary artery disease. Previous studies revealed that glycemic variability (GV) is also important for glucose metabolism in patients with acute coronary syndrome (ACS). We explored the association between GV and prognosis in patients with ACS. Methods A total of 417 patients with ACS who received reperfusion wore a continuous glucose monitoring system (CGMS) in a stable phase after admission and were monitored for at least 24 consecutive h. The mean amplitude of glycemic excursion (MAGE) was calculated as a marker of GV. We divided into two groups based on the highest tertile levels of MAGE (MAGE = 52 mg/dl). The groups were followed up for a median of 39 months [IQR 24–50 months]. The primary endpoint was the incidence of major adverse cardiovascular and cerebrovascular events (MACCE). Result During follow-up, 66 patients experienced MACCE (5 patients had cardiovascular death, 14 had recurrence of ACS, 27 had angina requiring revascularization, 8 had acute decompensated heart failure, and 16 had a stroke). MACCE was more frequently observed in the high MAGE group (23.5% vs. 11.6%, p = 0.002). In multivariate analysis, high MAGE was an independent predictive factor of poor prognosis for MACCE (odds ratio, 1.84; 95% confidence interval, 1.01–3.36; p = 0.045). Conclusion Glycemic variability determined with a CGMS is a predictor of prognosis in patients with ACS without severe DM. Trial registration UMIN 000010620. Registered April 1st 2012http://link.springer.com/article/10.1186/s12933-018-0761-5 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hironori Takahashi Noriaki Iwahashi Jin Kirigaya Shunsuke Kataoka Yugo Minamimoto Masaomi Gohbara Takeru Abe Kozo Okada Yasushi Matsuzawa Masaaki Konishi Nobuhiko Maejima Kiyoshi Hibi Masami Kosuge Toshiaki Ebina Kouichi Tamura Kazuo Kimura |
spellingShingle |
Hironori Takahashi Noriaki Iwahashi Jin Kirigaya Shunsuke Kataoka Yugo Minamimoto Masaomi Gohbara Takeru Abe Kozo Okada Yasushi Matsuzawa Masaaki Konishi Nobuhiko Maejima Kiyoshi Hibi Masami Kosuge Toshiaki Ebina Kouichi Tamura Kazuo Kimura Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome Cardiovascular Diabetology |
author_facet |
Hironori Takahashi Noriaki Iwahashi Jin Kirigaya Shunsuke Kataoka Yugo Minamimoto Masaomi Gohbara Takeru Abe Kozo Okada Yasushi Matsuzawa Masaaki Konishi Nobuhiko Maejima Kiyoshi Hibi Masami Kosuge Toshiaki Ebina Kouichi Tamura Kazuo Kimura |
author_sort |
Hironori Takahashi |
title |
Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome |
title_short |
Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome |
title_full |
Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome |
title_fullStr |
Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome |
title_full_unstemmed |
Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome |
title_sort |
glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome |
publisher |
BMC |
series |
Cardiovascular Diabetology |
issn |
1475-2840 |
publishDate |
2018-08-01 |
description |
Abstract Background Impaired glucose metabolism is an established risk factor for coronary artery disease. Previous studies revealed that glycemic variability (GV) is also important for glucose metabolism in patients with acute coronary syndrome (ACS). We explored the association between GV and prognosis in patients with ACS. Methods A total of 417 patients with ACS who received reperfusion wore a continuous glucose monitoring system (CGMS) in a stable phase after admission and were monitored for at least 24 consecutive h. The mean amplitude of glycemic excursion (MAGE) was calculated as a marker of GV. We divided into two groups based on the highest tertile levels of MAGE (MAGE = 52 mg/dl). The groups were followed up for a median of 39 months [IQR 24–50 months]. The primary endpoint was the incidence of major adverse cardiovascular and cerebrovascular events (MACCE). Result During follow-up, 66 patients experienced MACCE (5 patients had cardiovascular death, 14 had recurrence of ACS, 27 had angina requiring revascularization, 8 had acute decompensated heart failure, and 16 had a stroke). MACCE was more frequently observed in the high MAGE group (23.5% vs. 11.6%, p = 0.002). In multivariate analysis, high MAGE was an independent predictive factor of poor prognosis for MACCE (odds ratio, 1.84; 95% confidence interval, 1.01–3.36; p = 0.045). Conclusion Glycemic variability determined with a CGMS is a predictor of prognosis in patients with ACS without severe DM. Trial registration UMIN 000010620. Registered April 1st 2012 |
url |
http://link.springer.com/article/10.1186/s12933-018-0761-5 |
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