Glycemic variability determined with a continuous glucose monitoring system can predict prognosis after acute coronary syndrome
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In patients with acute coronary syndrome who underwent percutaneous coronary intervention, glycemic variability was an independent predictive factor of poor prognosis.
“They reported that GV was an independent predictive factor of poor prognosis”
From Glycemic variability and cardiovascular disease in patients with type 2 diabetes (2021) · cites this paper as [50]
In patients with acute coronary syndrome who underwent percutaneous coronary intervention, the high glycemic variability group had significantly lower event-free survival rates.
“with the high GV group having significantly lower event-free survival rates.”
From Glycemic variability and cardiovascular disease in patients with type 2 diabetes (2021) · cites this paper as [50]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649 · see citing works
Antman, E. M., Anbe, D. T., Armstrong, P. W., Bates, E., Green, L. A., Hand, M. M., Hochman, J. S., Krumholz, H. M., Kushner, F. G., Lamas, G. A., et al. (2004) · Circulation · doi:10.1161/01.cir.0000134791.68010.fa · Cited by 8,345 · see citing works
Whelton, P. K., Carey, R. M., Aronow, W. S., Casey, D. E., Collins, K. J., Dennison Himmelfarb, C., DePalma, S. M., Gidding, S., Jamerson, K. A., Jones, D. W., et al. (2018) · Hypertension · doi:10.1161/hyp.0000000000000065 · Cited by 7,391 · see citing works
The Emerging Risk Factors Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)60484-9 · Cited by 5,125 · see citing works
2014 AHA/ACC Guideline for the Management of Patients With Non–ST-Elevation Acute Coronary Syndromes
Amsterdam, E. A., Wenger, N. K., Brindis, R. G., Casey, D. E., Ganiats, T. G., Holmes, D. R., Jaffe, A. S., Jneid, H., Kelly, R. F., Kontos, M. C., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.09.017 · Cited by 3,595 · see citing works
Monnier, L., Mas, E., Ginet, C., Michel, F., Villon, L., Cristol, J.-P., & Colette, C. (2006) · JAMA · doi:10.1001/jama.295.14.1681 · Cited by 2,444 · see citing works
Mean Amplitude of Glycemic Excursions, a Measure of Diabetic Instability
Service, F. J., Molnar, G. D., Rosevear, J. W., Ackerman, E., Gatewood, L. C., & Taylor, W. F. (1970) · Diabetes · doi:10.2337/diab.19.9.644 · Cited by 1,039 · see citing works
Peripheral arterial disease in people with diabetes
American Diabetes Association (2003) · Diabetes Care · doi:10.2337/diacare.26.12.3333 · Cited by 953 · see citing works
Quagliaro, L., Piconi, L., Assaloni, R., Martinelli, L., Motz, E., & Ceriello, A. (2003) · Diabetes · doi:10.2337/diabetes.52.11.2795 · Cited by 771 · see citing works
Kosiborod, M., Rathore, S. S., Inzucchi, S. E., Masoudi, F. A., Wang, Y., Havranek, E. P., & Krumholz, H. M. (2005) · Circulation · doi:10.1161/circulationaha.104.517839 · Cited by 666 · see citing works
Patel, M. R., Calhoon, J., DEHMER, G. J., Grantham, J. A., Maddox, T. M., Maron, D. J., & Smith, P. K. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.02.001 · Cited by 621 · see citing works
Peripheral arterial disease in people with diabetes: response to consensus statement.
Hoyt, R. (2004) · Diabetes Care · doi:10.2337/diacare.27.8.2095 · Cited by 556 · see citing works
Patel, M. R., Calhoon, J. H., Dehmer, G. J., Grantham, J. A., Maddox, T. M., Maron, D. J., & Smith, P. K. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.10.034 · Cited by 493 · see citing works
Rizzo, M. R., Barbieri, M., Marfella, R., & Paolisso, G. (2012) · Diabetes Care · doi:10.2337/dc12-0199 · Cited by 306 · see citing works
GIANT RIGHT CORONARY ARTERY ANEURYSM ASSOCIATED WITH A CORONARY CAMERAL FISTULA TO THE RIGHT ATRIUM
Bierzynski, A., Pak, Y., Bhusri, S., & Kronzon, I. (2017) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(17)35601-2 · Cited by 235 · see citing works
Timmer, J. R., Hoekstra, M., Nijsten, M. W., van der Horst, I. C. C., Ottervanger, J. P., Slingerland, R. J., Dambrink, J. E., Bilo, H. J. G., Zijlstra, F., & Hof, A. W. J. V. ’. (2011) · Circulation · doi:10.1161/circulationaha.110.985911 · Cited by 232 · see citing works
Hyperglycemia and prognosis of acute myocardial infarction in patients without diabetes mellitus
Bellodi, G., Manicardi, V., Malavasi, V. L., Veneri, L., Bernini, G., Bpssini, P., Distefano, S., Magnanini, G., Muratori, L., Rossi, G., et al. (1989) · The American Journal of Cardiology · doi:10.1016/0002-9149(89)90836-9 · Cited by 159 · see citing works
Okada, K., Hibi, K., Gohbara, M., Kataoka, S., Takano, K., Akiyama, E., Matsuzawa, Y., Saka, K., Maejima, N., Endo, M., et al. (2015) · Cardiovascular Diabetology · doi:10.1186/s12933-015-0275-3 · Cited by 98 · see citing works
Self-citationImano, H., Noda, H., Kitamura, A., Sato, S., Kiyama, M., Sankai, T., Ohira, T., Nakamura, M., Yamagishi, K., Ikeda, A., et al. (2011) · Preventive Medicine · doi:10.1016/j.ypmed.2011.02.019 · Cited by 97 · see citing works
GLP-1 Inhibits High-Glucose-Induced Oxidative Injury of Vascular Endothelial Cells
Li, Q., Lin, Y., Wang, S., Zhang, L., & Guo, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-06712-z · Cited by 86 · see citing works
Gohbara, M., Hibi, K., Mitsuhashi, T., Maejima, N., Iwahashi, N., Kataoka, S., Akiyama, E., Tsukahara, K., Kosuge, M., Ebina, T., et al. (2015) · Circulation Journal · doi:10.1253/circj.cj-15-0790 · Cited by 60 · see citing works
Self-citationMyocardial Damage in Patients With Deferred Stenting After STEMI
Lønborg, J., Engstrøm, T., Ahtarovski, K. A., Nepper‐Christensen, L., Helqvist, S., Vejlstrup, N., Kyhl, K., Schoos, M. M., Ghotbi, A., Göransson, C., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.03.601 · Cited by 51 · see citing works
Su, G., Mi, S., Zhao, L., Tao, H., Yang, H., & Zheng, H. X. (2013) · Cardiovascular Diabetology · doi:10.1186/1475-2840-12-33 · Cited by 49 · see citing works
Gohbara, M., Iwahashi, N., Kataoka, S., Hayakawa, Y., Sakamaki, K., Akiyama, E., Maejima, N., Tsukahara, K., Hibi, K., Kosuge, M., et al. (2015) · Circulation Journal · doi:10.1253/circj.cj-14-1226 · Cited by 45 · see citing works
Self-citationWang, X., Zhao, X., Dorje, T., Yan, H., Qian, J., & Ge, J. (2014) · International Journal of Cardiology · doi:10.1016/j.ijcard.2014.01.015 · Cited by 45 · see citing works
Kuroda, M., Shinke, T., Otake, H., et al. (2016) · Cardiovascular Diabetology · doi:10.1186/s12933-016-0395-4 · Cited by 44 · see citing works
Yang, S., Zhou, Y., Hu, D., Nie, X.-M., Liu, Y.-Y., Hua, Q., Wang, X., Li, H.-W., & for the BEAMIS Study Group (2010) · Heart · doi:10.1136/hrt.2009.189316 · Cited by 41 · see citing works
Shimabukuro, M., Tanaka, A., Sata, M., Dai, K., Shibata, Y., Inoue, Y., Ikenaga, H., Kishimoto, S., Ogasawara, K., Takashima, A., et al. (2017) · Cardiovascular Diabetology · doi:10.1186/s12933-017-0571-1 · Cited by 38 · see citing works
Xia, J., Xu, J., Li, B., Liu, Z., Hao, H., Yin, C., & Xu, D. (2017) · Clinica Chimica Acta · doi:10.1016/j.cca.2017.01.022 · Cited by 34 · see citing works
Kataoka, S., Gohbara, M., Iwahashi, N., Sakamaki, K., Nakachi, T., Akiyama, E., Maejima, N., Tsukahara, K., Hibi, K., Kosuge, M., et al. (2015) · Circulation Journal · doi:10.1253/circj.cj-15-0496 · Cited by 33 · see citing works
Self-citationSu, G. (2018) · The Anatolian Journal of Cardiology · doi:10.14744/anatoljcardiol.2018.47487 · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Sun, B., Luo, Z., & Zhou, J. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01200-7 · Cited by 168 · see citing works
Glycemic variability and cardiovascular disease in patients with type 2 diabetes
Martinez, M., Santamarina, J., Pavesi, A., Musso, C., & Umpierrez, G. E. (2021) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2020-002032 · Cited by 155 · see citing works
Tateishi, K., Saito, Y., Kitahara, H., & Kobayashi, Y. (2022) · Journal of Cardiology · doi:10.1016/j.jjcc.2021.08.009 · Cited by 16 · see citing works
- Authors
- Takahashi, H., Iwahashi, N., Kirigaya, J., Kataoka, S., Minamimoto, Y., Gohbara, M., Abe, T., Okada, K., Matsuzawa, Y., Konishi, M., Maejima, N., Hibi, K., Kosuge, M., Ebina, T., Tamura, K., & Kimura, K.
- Affiliations
- Yokohama City University Medical Center (JP)
- Yokohama City University (JP)
- Corresponding author
- Iwahashi, Noriaki
- ORCID
- Venue
- Cardiovascular Diabetology
- Published
- 2018-08-18
- Volume
- 17
- Issue
- 1
- Pages
- 116-116
- ISSN
- 1475-2840 (ISSN-L)
- PMC
- PMC6098663
- OpenAlex
- W2886713969
- Cited by
- 86
- References
- 32
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 9 · 2023: 12 · 2022: 12 · 2021: 15 · 2020: 13 · 2019: 10 · 2017: 1
- FWCI
- 7.56
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cardiovascular Diabetology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- glycemic variability, acute coronary syndrome, continuous glucose monitoring, mean amplitude of glycemic excursions, prognosis, major adverse cardiac and cerebrovascular events, reperfusion therapy, non-diabetic patients, glucose metabolism
- MeSH terms
- Aged, Blood Glucose, Cerebrovascular Disorders, Female, Heart Failure, Humans, Japan, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Recurrence, Risk Factors, Time Factors, Blood Glucose Self-Monitoring, Biomarkers, Myocardial Reperfusion, Incidence, Treatment Outcome, Risk Assessment, Glucose Metabolism Disorders, Acute Coronary Syndrome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review