ArticleArquivos brasileiros de cardiologia2013
Unrecognized diabetes and myocardial necrosis: predictors of hyperglycemia in myocardial infarction.
Article in Arquivos brasileiros de cardiologia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06286878 (Pleiotropic Effects of Dapagliflozin in Patients With Acute Coronary Syndromes), which is not on this map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Pleiotropic Effects of Dapagliflozin in Patients With Acute Coronary Syndromes
Who cites it
2 citing papers in PubMed, 10 citations in OpenAlex.
- Leuko-Glycemic Index in the Prognosis of Acute Myocardial Infarction; a Cohort Study on Coronary Angiography and Angioplasty Registry.Archives of academic emergency medicine · 2023Article
- Do diabetic patients with acute coronary syndromes have a higher threshold for ischemic pain?Arquivos brasileiros de cardiologia · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHyperglycemia in the acute phase of myocardial infarction is an important prognostic factor. However, its pathophysiology is not fully understood.
objectiveTo analyze simultaneously the correlation between hyperglycemia and biochemical markers related to stress, glucose and lipid metabolism, coagulation, inflammation, and myocardial necrosis. METHODS Eighty patients with acute myocardial infarction were prospectively included. The following parameters were analyzed: blood glucose; stress hormones (cortisol and norepinephrine); glucose metabolism factors [glycated hemoglobin (HbA1c); insulin]; lipoproteins (total cholesterol, LDL, HDL, minimally modified electronegative LDL, and adiponectin); glycerides (triglycerides, VLDL and fatty acids); coagulation factors (factor VII, fibrinogen, plasminogen activator inhibitor-1); inflammation (high-sensitivity C reactive protein); and myocardial necrosis (CK-MB and troponin). Continuous variables were converted into degrees of relevance using fuzzy logic.
resultsSignificant correlation was observed between hyperglycemia and glucose metabolism (p < 0.001), lipoproteins (p = 0.03), and necrosis factors (p = 0.03). In the multivariate analysis, only glucose metabolism (OR = 4.3; CI = 2.1-68.9; and p < 0.001) and myocardial necrosis (OR = 22.5; CI = 2-253; and p = 0.012) showed independent and significant correlation. For the analysis of the influence of history of diabetes mellitus, a regression model including only patients without diabetes mellitus was developed, and the results did not change. Finally, in the model adjusted for age, gender, and clinical variables (history of diabetes mellitus, hypertension and dyslipidemia), three variables maintained a significant and independent association with hyperglycemia: glucose metabolism (OR = 24.1; CI = 4.8-122.1; and p < 0.001), myocardial necrosis (OR = 21.9; CI = 1.3-360.9; and p = 0.03), and history of DM (OR = 27; CI = 3.7-195.7; and p = 0.001).
conclusionGlucose metabolism and myocardial necrosis markers were the best predictors of hyperglycemia in patients with acute myocardial infarction.
Indexed as
Identifiers
23598457W2134425769What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.