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Arquivos Brasileiros de Cardiologia

Print version ISSN 0066-782X

Arq. Bras. Cardiol. vol.100 no.5 São Paulo May 2013  Epub Apr 19, 2013

http://dx.doi.org/10.1590/S0066-782X2013005000025 

Unrecognized diabetes and myocardial necrosis: predictors of hyperglycemia in myocardial infarction

 

 

Renata Teixeira Ladeira; Luciano Moreira Baracioli; Tanize Espírito Santo Faulin; Dulcinéia Saes Parra Abdalla; Talita Matttos Seydell; Raul Cavalcante Maranhão; Berenice Bilharinho Mendonça; Célia Cassaro Strunz; Isac de Castro; José Carlos Nicolau

Instituto do Coração (InCor) - Hospital da Clínicas da Faculdade de Medicina da Universidade de São Paulo; Faculdade de Ciências Farmacêuticas da Universidade Federal de São Paulo; Divisão de Endocrinologia e Metabolismo do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP - Brazil

Mailing Address

 

 


ABSTRACT

BACKGROUND: Hyperglycemia in the acute phase of myocardial infarction is an important prognostic factor. However, its pathophysiology is not fully understood.
OBJECTIVE: To 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.
RESULTS: Significant 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).
CONCLUSION: Glucose metabolism and myocardial necrosis markers were the best predictors of hyperglycemia in patients with acute myocardial infarction.

Keywords: Myocardial Infarction; Diabetes Mellitus; Hyperglicemia; Hemoglobin A, Glycosylated


 

 

Introduction

The first study to evaluate the prevalence of glycosuria in patients with acute myocardial infarction (AMI) without diabetes mellitus (DM) was published in 19311. Since then, many other studies have demonstrated the short2-6 and long-term7-9 importance of hyperglycemia (HG) in patients with AMI. In addition, blood glucose levels are predictive of ventricular remodeling after AMI10.

However, there is no consensus in the medical literature regarding the definition of hyperglycemia during acute coronary syndromes, and recent publications suggest that multiple determinations during hospitalization could add prognostic information for this population11. There is also a controversy over the intensive treatment of HG; some publications show benefits, whereas others do not14-16.

Finally, little has been described on the mechanisms involved in the increased mortality related to HG during AMI, with most of the studies correlating HG with only one of the several variables that may explain the elevation in blood glucose levels. Thus, the main objective of this study is to analyze simultaneously, in the same population, blood glucose levels and biochemical markers related to the stress hormone system, glucose and lipid metabolism, coagulation, inflammation, and myocardial necrosis. Part of this study has been published in a congress as an abstract17.

 

Methods

Patients

A total of 80 patients with AMI (mean age of 60.5 years; 81% males) admitted in a coronary care unit of a tertiary-care hospital were prospectively included.

Inclusion criteria: patients with AMI with or without ST-segment elevation with an interval of 24-48 h between the beginning of pain and inclusion in the study.

Exclusion criteria: patients with age < 21 or > 80 years; previous use of corticosteroids; known inflammatory disease; chronic renal failure (creatinine clearance < 60 mL/min); severe neurological disease; hypo- or hyperthyroidism; hemodynamic instability (modified Forester > IIa)18; known hematological disease; previous use of anticoagulant drugs; use of fibrinolytic agents during the event studied; or comorbidity with a life expectancy < 6 months.

Laboratory assessments

Blood samples were collected under fasting conditions, 24-48 h prior to the beginning of pain, and the following parameters (and respective reference values) were assessed: glucose (70-100 mg/dL); cortisol (7.3-24.7 µg / dL); norepinephrine (40-268 pg/mL); HbA1c (< 6.1%); insulin (2.3-26.4 µU/mL); nonesterified fatty acid (NEFA) (0.1-0.6 mEq/L); coagulation factor VII (50-150%); and high-sensitivity C reactive protein (hsPCR) (< 5 mg/L). In addition, levels of lipids and myocardial necrosis markers were determined according to the routine protocol for patients with AMI, and the reference values are as follows: total cholesterol (< 200 mg/dL); low-density lipoprotein (LDL) (< 100 mg/dL); high-density lipoprotein (HDL) (> 40 mg/dL for men and > 50 mg/dL for women); very-low-density lipoprotein (VLDL) (no reference value); triglycerides (< 150 mg/dL); MB fraction of creatine phosphokinase (CK-MB) (< 4 ng/mL); and troponin I (< 0.1 ng/mL).

Minimally-modified electronegative LDL [LDL (-)], anti-LDL(-) antibody, plasminogen activator inhibitor (PAI-1), and fibrinogen have no reference values, and their levels were compared between the groups with and without hyperglycemia.

Glucose, total cholesterol, HDL, LDL and triglycerides levels were determined using the enzymatic method in a Cobas Integra 700 analyzer (Roche, Germany). hsCRP was measured using immunoturbidimetric essay (Roche). HbA1c levels were determined in a Hitachi 902 analyzer (Roche). VLDL was calculated. Cortisol and insulin levels were analyzed using AutoDELFIA kits (PerdinElmer, Finland). Norepinephrine levels were measured using high-performance liquid chromatography. LDL (-) and anti-LDL (-) antibodies were determined using ELISA19. For NEFA determination, the HR Series NEFA C kit (Wako, Japan) was used. Coagulation factor VII levels were determined using the AMAX kit (Trinity, USA). The LINCOplex Human Disease Panel I was used for simultaneous determinations of adiponectin and PAI-1; SINGLEplex Human Cardiovascular Disease (LINCO, USA) was used to determine fibrinogen levels.

Definitions

DM: known DM, under treatment with diet, oral hypoglycemic agents, or insulin.

AMI: typical rise and gradual fall (troponin), or more rapid rise and fall (CK-MB) of biochemical markers of myocardial necrosis with at least one of the following: ischemic symptoms, development of pathologic Q waves on electrocardiogram, ECG changes indicative of ischemia (ST-segment elevation or depression), or coronary artery intervention20.

Hyperglycemia: blood glucose > 108 mg/dL (median blood glucose in our sample). Blood glucose levels > 108 mg/dL have already been demonstrated to be associated with higher mortality in intensive care unit patients21.

Statistical analysis

Continuous variables are presented as means (± SD) or medians (25-75% percentiles), and categorical variables, as numbers (proportions).

Univariate analysis: nonlinear regression, chi square and Kruskal Wallis tests were used when indicated.

Multivariate analysis: the original values of continuous variables were converted into degrees of relevance using the fuzzy logic principles. Thus, with the ROC curve, sensitivity and specificity values of variables for blood glucose > 108 mg/dL were calculated. Next, cohort values of variables were selected according to the highest sum and highest product of sensitivity and specificity. The degrees of relevance for sum and product were derived from the quotient of the variable value by these cohort values.

Thus, the variables in their original groups can be associated with seven domains:

1 - Stress hormone system: cortisol and norepinephrine.

2 - Glucose metabolism: HbA1c and insulin.

3 - Lipoproteins: total cholesterol, LDL, HDL, LDL (-), anti-LDL (-) antibody, adiponectin.

4 - Glycerides: triglycerides, VLDL (since triglycerides are its major component), and NEFA.

5 - Coagulation: coagulation factor VII, PAI-1, and fibrinogen.

6 - Inflammation: hsCRP.

7 - Myocardial necrosis: CK-MB and troponin.

Weighted means were created based on fuzzy values for the sum and product of sensitivity and specificity. Then, using the ROC curve again, the cut-off value for the seven groups of variables was selected, and these groups were categorized.

Univariate analyses were carried out using the chi square test, and multivariate analysis, using binominal logistic regression.

Differences were considered statistically significant when p < 0.05. Data were analyzed using the SPSS statistical program, version 19.0 for Windows.

Ethical considerations

The study protocol was approved by the Institutional Ethics Committee, according to the Declaration of Helsinki, and participants gave written informed consent.

 

Results

Patients' characteristics

Baseline population characteristics, medications and invasive therapy used during hospitalization are shown in Table 1. There is a majority of male patients, as is common in AMI, despite a growing increase of women with acute coronary syndrome. The incidence of risk factors is similar to that reported in the literature. Since our hospital is a tertiary-care hospital, we have a high number of patients with ST-segment elevation AMI. According to our institutional protocol, glycoprotein IIb/IIIa inhibitors are recommended as a second antiplatelet agent in combination with acetylsalicylic acid, and clopidogrel is given only in the follow-up for those undergoing medical therapy or after coronary angioplasty. Thus, if we add the use of clopidogrel to glycoprotein IIb/IIIa inhibitors, we have 96.3% of patients with two antiplatelet agents. Only 16.3% of patients underwent primary angioplasty, since 30% of AMI had ST-segment elevation; thus the procedure was not indicated for the vast majority of them.

Correlation between blood glucose levels and the variables studied - univariate analysis

As shown in Table 2, the variables that showed a statistically significant correlation with blood glucose levels in the univariate analysis were: HbA1c, insulin, LDL, HDL, adiponectin, triglycerides, VLDL, NEFA, and fibrinogen. The positive correlation between blood glucose levels and insulin suggests increased insulin resistance. In fact, the median HOMA-IR22 was 2.4 (1.1 - 4.5).

The correlation between hyperglycemia and the seven domains (stress hormone system, glucose metabolism, lipoproteins, glycerides, coagulation, inflammation, and myocardial necrosis) is shown in Table 3. There was a positive and significant correlation between hyperglycemia and glucose metabolism and myocardial necrosis, and a negative and significant correlation with lipoproteins.

Correlation between blood glucose levels and the variables studied - multivariate analysis

In the multivariate analysis including the seven domains of variables, only glucose metabolism and myocardial necrosis maintained a significant and independent correlation with hyperglycemia (Table 4).

In order to analyze the influence of history of DM in the results, a second adjusted model including the seven domains was developed, however only with patients without DM. As shown in Table 5, the results remained unchanged.

Finally, a third model adjusted to age, gender and clinical variables associated with blood glucose levels (history of DM, hypertension and dyslipidemia) was developed. In this model (Table 6), three variables showed a significant and independent correlation with hyperglycemia: glucose metabolism, myocardial necrosis and history of DM. This means that during the acute phase of AMI there is a group of patients without known DM who already present with underdiagnosed impaired glucose metabolism.

When only patients without known DM are analyzed, and taking into consideration the HbA1c classification recently published by the American Diabetes Association23, we found that 3.6% of patients were diabetics (HbA1c > 6.5%), 28.6% had glucose intolerance (HbA1c > 5.7% and < 6.4%), and 67.8% were normal (HbA1c < 5.6%). There was a significant difference between blood glucose levels during the acute phase of AMI and the three HbA1c classes (Figure 1).

No significant correlation was observed between blood glucose levels and mortality or adverse cardiac events (refractory ischemia, reinfarction, cardiogenic shock, and death), which was a secondary analysis. However, the small number of patients included in the study did not allow any conclusion regarding this issue.

 

Discussion

The present study comprises two main findings. First, hyperglycemia during the acute phase of AMI, regardless of a previous history of DM, is associated with variables related to glucose metabolism (Hba1c and insulin), thus suggesting that hyperglycemia, initially considered stress-derived, may result from glucose intolerance or DM not diagnosed until AMI. The second important finding is that blood glucose levels are significantly correlated with the AMI extension, as represented by myocardial necrosis markers (CK-MB and troponin).

Hyperglycemia and underdiagnosed glucose intolerance/DM

The fact that a correlation between blood glucose levels and HbA1c was initially found seems to be evident. However, HbA1c represents the mean blood glucose level in the past two months and is minimally affected by the acute hyperglycemia24. If the hyperglycemia observed in the initial phase of AMI were merely a response to acute stress, it would have no correlation with glucose metabolism and Hba1c in non-diabetic patients. Thus, one of the probable causes of hyperglycemia in AMI is previously undiagnosed dysglycemia.

Tenerz et al25 analyzed patients with AMI and no previous diagnosis of DM, and reported that routine tests, such as oral glucose tolerance test (OGTT), or blood glucose determination alone 60 min after the intake of 75g of glucose at the moment of hospital discharge can predict the diagnosis of glucose intolerance within 3 months. Their study corroborates our finding that hyperglycemia during AMI may be associated with a chronic impairment of the glucose metabolism.

Since the 1980's, the role of HbA1c as a prognostic marker in AMI has been studied26-30. In the OPTIMAAL study, HbA1c was determined in 2,841 patients with AMI and heart failure. Among these patients, 495 (17%) reported a history of DM. Of the patients without history of DM, increased HbA1c levels correlated with mortality: 13% for patients with HbA1c < 4.95%; 17% for patients with HbA1c between 4.9% and 5.1%, and 22% for patients with HbA1c > 5.1% (p = 0.02)31. Another study, which also evaluated a population with AMI without history of DM, confirmed DM in 27% of patients, glucose intolerance in 39%, and normal glucose metabolism in 34%32. There was no standardization for the diagnosis of abnormal HbA1c levels until 2010, and each author used different cohort values. In the present study, we applied the American Diabetes Association criterion23 and found 32.2% of patients with impaired glucose metabolism.

Hyperglycemia and insulin resistance

Insulin, another component of the glucose metabolism, significantly correlated with blood glucose levels, thus suggesting increased insulin resistance, which was demonstrated by the HOMA-IR elevation. This finding is similar to those of Choi et al33, who demonstrated a significant correlation of glucose tolerance and DM with insulin resistance in patients with AMI. However, this increased insulin resistance may be chronic or related to the acute disease.

In an assessment of insulin resistance and metabolic syndrome in patients with AMI without known DM, blood glucose, insulin (on the 2nd day, 5th day and three months after AMI), HbA1c and OGTT levels (five days and three months after AMI) were determined25. Significant elevation of HOMA-IR on the 2nd in relation to the 5th day (p < 0.001) was observed; however, no changes were observed between the 5th day and three months. There was a correlation between increased insulin resistance and diabetic patients (86%), those with glucose intolerance (65%), and patients with normal blood glucose (52%), according to the OGTT at three months (p <? 0.004). This study suggests that the patients who were not aware of having DM or glucose intolerance had higher insulin resistance than patients with normal blood glucose. However, in the first two days, an increase in HOMA-IR occurred, which may be related to the acute phase, associated with stress hormones. This means that the two mechanisms are not mutually exclusive.

Hyperglycemia and myocardial necrosis

AMI extent, as represented by myocardial necrosis markers, was significant and independently related to hyperglycemia in the present study. This relationship had already been described by other authors34-36. An association between high blood glucose levels and different variables associated with AMI size, including a high Killip class, low ejection fraction, and increased levels of CPK, CPK-MB, troponin I, pro-BNP and lactic acid was found36. The use of magnetic resonance imaging for the determination of the AMI size revealed a significant correlation between the blood glucose levels at admission and AMI extent, regardless of previous changes in glucose metabolism (HbA1c) or necrosis markers37.

The precise mechanism that explains the impact of hyperglycemia on the AMI extent is not fully understood, but a significant correlation between hyperglycemia and microcirculation abnormalities has already been demonstrated38. Clinical studies in patients with AMI undergoing recanalization therapy suggest that hyperglycemia is associated with impaired microvascular function, the so-called no-reflow phenomenon39. In addition, there is a clear association between hyperglycemia and heart failure and cardiogenic shock4,5, that could be explained by a larger AMI size.

Study limitations

The major limitation of the present study is the fact that not all variables which significantly correlate with hyperglycemia in different publications could be analyzed in a single study, such as the present one. However, an extensive literature review was carried out to minimize this limitation, and the authors sought to include the variables with more robust evidence. Another limitation was the inclusion of diabetic patients, which was partially corrected by the construction of a statistical model including history of DM and another pre-specified analysis only for non-diabetic patients.

 

Conclusion

We concluded that glucose metabolism and myocardial necrosis markers were the best predictors of hyperglycemia in patients with AMI, which suggests a previous undiagnosed impaired glucose metabolism. Thus, these findings corroborate the importance of considering hyperglycemia during the acute phase of AMI as an indicator of glucose intolerance or previous DM.

 

Acknowledgements

This study was financially supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (Fapesp) and includes the major results of the doctoral thesis defended at the School of Medicine, University of São Paulo.

Potential Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Sources of Funding

This study was funded by FAPESP.

Study Association

This article is part of the thesis of Doctoral submitted by Renata Teixeira Ladeira, from Instituto do Coração (InCor) - Faculdade de Medicina da Universidade de São Paulo.

 

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Mailing Address:
Renata Teixeira Ladeira
Av. Sargento Geraldo Santana, 94/181, Jardim Taquaral
Postal Code 04674-225, São Paulo, SP - Brazil
E-mail: rtlad@cardiol.br, rtlad@terra.com.br

Manuscript received May/02/12; revised manuscript received May/ 22/12; accepted December/17/12.

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