- Open Access
Relationship of dysglycemia to acute myocardial infarct size and cardiovascular outcome as determined by cardiovascular magnetic resonance
© Mather et al; licensee BioMed Central Ltd. 2010
- Received: 6 May 2010
- Accepted: 2 November 2010
- Published: 2 November 2010
Improved outcomes for normoglycemic patients suffering acute myocardial infarction (AMI) over the last decade have not been matched by similar improvements in mortality for diabetic patients despite similar levels of baseline risk and appropriate medical therapy. Two of the major determinants of poor outcome following AMI are infarct size and left ventricular (LV) dysfunction.
Ninety-three patients with first AMI were studied. 22 patients had diabetes mellitus (DM) based on prior history or admission blood glucose ≥11.1 mmol/l. 13 patients had dysglycemia (admission blood glucose ≥7.8 mmol/l but <11.1 mmol/l) and 58 patients had normoglycemia (admission blood glucose <7.8 mmol/l). Patients underwent cardiac magnetic resonance (CMR) imaging at index presentation and median follow-up of 11 months. Cine imaging assessed LV function and late gadolinium contrast-enhanced imaging was used to quantify infarct size. Clinical outcome data were collected at 18 months median follow-up.
Patients with dysglycemia and DM had larger infarct sizes by CMR than normoglycemic patients; at baseline percentage LV scar (mean (SD)) was 23.0% (10.9), 25.6% (12.9) and 15.8% (10.3) respectively (p = 0.001), and at 11 months percentage LV scar was 17.6% (8.9), 19.1% (9.6) and 12.4% (7.8) (p = 0.017). Patients with dysglycemia and DM also had lower event-free survival at 18 months (p = 0.005).
Patients with dysglycemia or diabetes mellitus sustain larger infarct sizes than normoglycemic patients, as determined by CMR. This may, in part, account for their adverse prognosis following AMI.
- Single Photon Emission Compute Tomography
- Cardiovascular Magnetic Resonance
- Infarct Size
- Cardiovascular Magnetic Resonance
- Acute Myocardial Infarction
The presence of elevated blood glucose levels, diabetes mellitus (DM), or both, contributes to more than 3 million cardiovascular deaths worldwide each year . Patients with DM have higher mortality after acute myocardial infarction (AMI) than non-diabetic patients . Moreover, patients with abnormal glucose tolerance at the time of AMI have a high subsequent cardiovascular event rate, comparable to patients with a previous history of DM [3, 4].
Alegria and colleagues have highlighted many potential reasons why patients with impaired glucose tolerance and DM have a high cardiovascular event rate . These include a greater degree of coronary artery atheroma , intrinsic systolic and diastolic left ventricular (LV) dysfunction [7, 8], impaired recruitment of collateral vessels , a higher rate of reinfarction , impaired ischemic preconditioning , reduced myocardial perfusion with thrombolysis and primary angioplasty  and underuse of evidence-based therapies .
Two of the major determinants of poor outcome following AMI are size of infarction and subsequent LV dysfunction . Cardiovascular magnetic resonance (CMR) can be used to accurately image the extent of both acute and chronic myocardial infarction using the technique of late gadolinium enhancement (LGE) . The high spatial resolution of LGE-CMR has been shown to detect subendocardial infarction better than single photon emission computed tomography (SPECT) . CMR also provides accurate and reproducible assessment of cardiac function such that it is now the reference standard for determining LV mass and function .
The aims of this study were: to determine whether there is a significant difference in infarct size and LV remodeling following AMI between non-diabetic subjects and those with dysglycemia or established DM, and to assess the impact of glycemic status on prognosis.
Ninety-seven patients with first presentation AMI were prospectively recruited into the study between January 2004 and December 2005. Four patients were unable to complete CMR imaging due to claustrophobia. Therefore, the study population consisted of ninety-three patients (79 men and 14 women, mean age 58 years, range 30-78 years). The study was approved by the institutional Research Ethics Committee and complied with the Declaration of Helsinki; written informed consent was obtained from all patients. Patients were recruited consecutively if they met the inclusion criteria of first presentation AMI and were willing to give consent. The diagnosis of AMI was based on previously published consensus criteria . Patients were excluded from the study if they had a previous history of acute coronary syndrome, coronary artery revascularization (percutaneous coronary intervention (PCI) or coronary artery bypass graft surgery) or any contraindication to MR imaging. Further exclusion criteria included age <18 or >79 years and severe renal failure (defined as estimated glomerular filtration rate <30 ml/min/1.73 m2).
All patients had plasma samples for random glucose measured by the glucose oxidase/Trinders method (Bayer ADVIA 1650/2400 systems, Bayer plc, Newbury, UK). Samples were taken at the time of hospital admission and a glucose level ≥11.1 mmol/l was considered as a new diagnosis of DM, in accordance with the guidelines of the American Diabetes Association . Patients with a previous history of DM were also categorised into the DM group, regardless of their admission blood glucose level. Patients with a blood glucose level ≥7.8 mmol/l and <11.1 mmol/l were categorised as having peri-infarct dysglycemia. Patients with an admission blood glucose <7.8 mmol/l were considered as having normoglycemia. All patients had 18-month follow-up for clinical MACE (Major Adverse Cardiovascular Events; defined as cardiovascular death, recurrent myocardial infarction, coronary revascularization or hospital admission for cardiovascular cause).
All patients underwent CMR during their index admission. A follow up CMR study, using the identical imaging protocol, was performed after a median of 11 months to assess LV remodeling. Patients were studied supine in a 1.5 Tesla scanner (Philips Medical Systems, Best, The Netherlands) equipped with 'Master' gradients (30 mT/m peak gradients; 150 mT/m/ms slew rate) and a 5-element cardiac phased array receiver coil. Cine imaging covering the whole heart in 10-12 parallel short axis slices was performed using a steady state free precession (SSFP) pulse sequence (echo time (TE) 1.4 msec; repetition time (TR) 2.8 msec; flip angle 55°, spatial resolution 2 × 2 × 7 mm, 18 phases per cardiac cycle). A cumulative dose of 0.2 mmol/kg of Gadolinium-DTPA (Dimeglumine gadopentetate, Magnevist, Schering AG, Germany) was administered using a power injector (Spectris MR injection system, Medrad, USA). LGE images were acquired ten to fifteen minutes after contrast injection with an inversion-recovery segmented k-space gradient-echo pulse sequence with a non-selective 180° prepulse (TE 3.8 msec; TR 7.5 msec; flip angle 15°, spatial resolution 1.8 × 1.8 × 10 mm). The inversion time (TI) was adjusted to null the signal intensity from normal myocardium. Ten to 12 short axis slices were obtained.
The present study is an analysis of observational data so no formal power calculation to estimate sample size was performed prior to commencement. Statistical analysis was performed using SPSS, version 15.0, SPSS Inc, Chicago, USA. Two-sided p values ≤0.05 were considered to be statistically significant. Continuous CMR data are summarized as mean (standard deviation, SD) and categorical data as numbers (percentages). Continuous data between groups were compared using two sample t tests or one-way analysis of variance (ANOVA) tests with Bonferroni correction. Categorical data were analysed using Chi-squared tests. Event-free survival was calculated from the date of acute infarction to clinical outcome (MACE) occurrence. Patients who were lost to follow-up or did not experience an event were treated as censored. A log-rank test was used to compare the three groups (normoglycemia, dysglycemia, and diabetic), hazard ratios were estimated using a Cox proportional hazards model and Kaplan-Meier survival plots are presented.
Ninety-three patients completed baseline CMR at a median of 3 days (interquartile range (IQR), 3 to 4 days) from the index presentation. Seventy patients had follow-up CMR scans at a median of 328 days (IQR 191 to 382 days) from their index event. 13 patients declined the repeat scan, 4 patients relocated, 4 patients failed to attend and 2 patients died prior to follow up.
Summary of baseline demographics and clinical characteristics.
N = 58
N = 13
N = 22
Territory of infarction
Systolic BP (mmHg)
Diastolic BP (mmHg)
Peak CK (U/l)
CMR findings at baseline.
CMR parameters at baseline
(n = 58)
(n = 13)
(n = 22)
ANOVA P values
End diastolic volume (ml)
End systolic volume (ml)
Ejection fraction (%)
LV mass (g)
LV infarct size (%)
CMR findings in the 70 patients that had imaging performed at both baseline and at a median follow-up of 11 months.
(n = 44)
(n = 9)
(n = 17)
ANOVA P- value
P-value baseline vs. follow-up
P-value baseline vs. follow-up
Ejection fraction (%)
P-value baseline vs. follow-up
LV mass (g)
P-value baseline vs. follow-up
P-value baseline vs. follow-up
Clinical cardiovascular outcome
In this study, we found that myocardial infarct size as measured by CMR is significantly larger in patients with dysglycemia or DM than in normoglycemic patients. This finding was supported by higher peak CK levels following AMI in the hyperglycemic subjects. Patients with dysglycemia and DM also had lower LV ejection fractions although these differences were not statistically significant. The differences in CMR findings between the three groups were consistent at 11 months follow-up.
Diabetes mellitus is firmly established as a strong independent risk factor for cardiovascular death and recurrent myocardial ischemia  and the prevalence of type 2 DM is predicted to rise over the next quarter of a century . DM is also recognized as a surrogate marker for underlying cardiovascular disease. A recent Danish population-based study demonstrated that the excess cardiovascular risk associated with diabetes was not necessarily confined to middle-aged and older patients and that the very presence of medically-treated diabetes raised a diabetic individual's risk to that of a non-diabetic subject with a prior myocardial infarction .
Improved outcomes for normoglycemic patients suffering AMI over the last decade have not been matched by similar improvements in mortality for diabetic patients despite similar levels of baseline risk and appropriate medical therapy [24, 25]. Patients with DM are known to have higher mortality in both the short and long term following AMI when compared with non-diabetic patients . Furthermore, admission hyperglycemia appears to be an even stronger predictor of mortality in those patients without a prior diagnosis of DM [4, 27]. Similarly in a study of AMI, amongst patients with no prior history of diabetes, a 1% absolute increase in HbA1c level at presentation resulted in a 24% increase in mortality .
The majority of studies that have investigated infarct size in diabetic patients have measured cardiac enzyme levels as the principal method of quantification. However, all of these studies, except one , have shown similar or smaller infarct size in diabetic patients. Enzymatic assessment of infarct size has its limitations, particularly in patients who have had reperfusion therapy . It is recognised that successful reperfusion can increase the washout and hence the peak level of cardiac enzymes and therefore, paradoxically, lower peak enzyme levels may be associated with poorer reperfusion and possibly larger infarcts.
Alegria et al, used SPECT imaging following AMI in diabetic subjects and found significantly larger infarct size and reduced LVEF in patients with diabetes than non-diabetic patients . One explanation given for this finding was that there was a higher incidence of previous MI in the diabetic population and that SPECT could not distinguish acute from chronic infarction. Our results are consistent with the previous data by Alegria, but our study population comprised only patients with a first episode of AMI and well-matched baseline clinical characteristics. There was no evidence, in any patient, of previous myocardial infarction in any other coronary artery territory on LGE imaging. By using the much more accurate technique of CMR to measure LV function and infarct size, we were able to demonstrate that patients with dysglycemia and DM had significantly larger infarcts which were associated with higher peak CK levels and a trend towards lower LVEF, when compared to normoglycemic patients. This is consistent with the relationship of CMR infarct size to the peak CK as shown by Younger et al . The trend towards reduced LVEF in DM may be due to the larger infarct size or possibly other factors that were not recorded such as angiographic evidence of more extensive coronary artery disease or impaired myocardial perfusion. These results also support previous CMR data demonstrating a strong relationship between impaired glucose metabolism and myocardial damage in STEMI patients .
The 18-month outcome data from this study are particularly interesting and highlight an important message regarding risk stratification of AMI patients. We have shown that patients with an admission glucose level ≥7.8 mmol/l have a significantly reduced event-free survival from MACE. This is consistent with recent findings that in-hospital glucose levels are a stronger predictor of death than diabetes history and that patients with AMI with an admission glucose ≥8 mmol/l have a very high risk of death regardless of diabetes history . Perhaps of greater interest is the fact that 18-month event free survival was actually lowest in those considered to have impaired glucose tolerance compared to those with DM or normoglycemia. Indeed, this group had smaller infarct sizes but worse outcome than those with DM. It may have been that those considered frankly diabetic had more aggressive secondary prevention and attention to glycemic control, whilst those with impaired glucose tolerance were actually under-diagnosed for DM. This would be in keeping with the findings from Norhammar et al, who showed in their series of AMI patients with random glucose levels below 11.1 mmol/L, that approximately one-third of patients had overt DM and a further third had impaired glucose tolerance at discharge and 3 months later . Clearly infarct size and ventricular function/remodeling are important determinants of outcome, with larger infarcts expected to manifest as greater risk of sudden cardiac death (arrhythmia) and heart failure. However, other pathophysiological mechanisms of infarct healing may be important including residual ischemic burden (hibernation), microvascular obstruction and hemorrhage within the infarct core. The impact of glycemic control on these factors remains to be determined.
We made a pragmatic decision to categorize patients based on admission blood glucose levels. We acknowledge that more than one measurement of blood glucose is required to diagnose DM and impaired glucose tolerance but nevertheless our data highlight some important observations. The study population was also relatively small and a larger sample size would have allowed more detailed subgroup analyses. Data were not collected regarding on-going glycometabolic control or HbA1c levels and therefore we could not assess the significance of these variables on infarct size or event-free survival. The study population included patients with ST-elevation MI and non-ST-elevation MI. Again, a larger population would have enabled us to analyse these groups separately. Although primary percutaneous coronary intervention (PPCI) is now considered the optimum reperfusion strategy for the treatment of STEMI , intravenous thrombolysis remains the mainstay of therapy for the majority of patients in the United Kingdom and USA. Therefore, the findings from this study are directly relevant to current cardiological practice, although it is accepted that in the future PPCI will supercede thrombolysis and this may have a direct impact on myocardial infarct size.
The results of this study suggest that following AMI, patients with dysglycemia and DM sustain significantly larger myocardial infarctions than normoglycemic patients. This finding may be a significant factor contributing to the known higher mortality seen in these patients. In addition, dysglycemia at the time of AMI has a significant adverse impact on cardiovascular outcome, an effect which appears more marked even compared to those patients with diabetes mellitus. Further studies are needed to explore the significance of glycemic control on infarct size and ventricular remodeling in order to improve our understanding of the mechanisms that account for the adverse outcome in patients with dysglycemia and AMI.
This research has partly been supported by a grant from the British Heart Foundation. This funding body was not involved in the study design, data collection, data analysis or writing of the manuscript. Dr. Sven Plein is supported by a Wellcome Trust Intermediate fellowship (WT078288).
- Danaei G, Lawes CM, Vander HS, Murray CJ, Ezzati M: Global and regional mortality from ischaemic heart disease and stroke attributable to higher-than-optimum blood glucose concentration: comparative risk assessment. Lancet. 2006, 368: 1651-1659. 10.1016/S0140-6736(06)69700-6.View ArticlePubMedGoogle Scholar
- Abbott RD, Donahue RP, Kannel WB, Wilson PW: The impact of diabetes on survival following myocardial infarction in men vs women. The Framingham Study. JAMA. 1989, 260: 3456-3460. 10.1001/jama.260.23.3456.View ArticleGoogle Scholar
- Tamita K, Katayama M, Takagi T, et al: Impact of newly diagnosed abnormal glucose tolerance on long-term prognosis in patients with acute myocardial infarction. Circ J. 2007, 71: 834-841. 10.1253/circj.71.834.View ArticlePubMedGoogle Scholar
- Capes SE, Hunt D, Malmberg K, Gerstein HC: Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview. Lancet. 2000, 355: 773-778. 10.1016/S0140-6736(99)08415-9.View ArticlePubMedGoogle Scholar
- Alegria JR, Miller TD, Gibbons RJ, Yi QL, Yusuf S, Collaborative Organization of RheothRx Evaluation (CORE) Trial Investigators: Infarct size, ejection fraction, and mortality in diabetic patients with acute myocardial infarction treated with thrombolytic therapy. Am Heart J. 2008, 154: 743-750. 10.1016/j.ahj.2007.06.020.View ArticleGoogle Scholar
- Goraya TY, Leibson CL, Palumbo PJ, et al: Coronary atherosclerosis in diabetes mellitus: a population-based autopsy study. J Am Coll Cardiol. 2002, 40: 946-953. 10.1016/S0735-1097(02)02065-X.View ArticlePubMedGoogle Scholar
- Zarich SW, Nesto RW: Diabetic cardiomyopathy. Am Heart J. 1989, 118: 1000-1012. 10.1016/0002-8703(89)90236-6.View ArticlePubMedGoogle Scholar
- Poornima IG, Parikh P, Shannon RP: Diabetic cardiomyopathy: the search for a unifying hypothesis. Circ Res. 2006, 98: 596-605. 10.1161/01.RES.0000207406.94146.c2.View ArticlePubMedGoogle Scholar
- Werner GS, Richartz BM, Heinke S, Ferrari M, Figulla HR: Impaired acute collateral recruitment as a possible mechanism for increased cardiac adverse events in patients with diabetes mellitus. Eur Heart J. 2003, 24: 1134-1142. 10.1016/S0195-668X(03)00187-8.View ArticlePubMedGoogle Scholar
- Malmberg K, Yusuf S, Gerstein HC, et al: Impact of diabetes on long-term prognosis in patients with unstable angina and non-Q-wave myocardial infarction: results of the OASIS (Organization to Assess Strategies for Ischemic Syndromes) Registry. Circulation. 2000, 102: 1014-1019.View ArticlePubMedGoogle Scholar
- Ishihara M, Inoue I, Kawagoe T, et al: Impact of acute hyperglycaemia on left ventricular function after reperfusion therapy in patients with a first anterior wall acute myocardial infarction. Am Heart J. 2003, 146: 674-678. 10.1016/S0002-8703(03)00167-4.View ArticlePubMedGoogle Scholar
- Angeja BG, de Lemos J, Murphy SA, TIMI Study Group, et al: Thrombolysis In Myocardial Infarction. Impact of diabetes mellitus on epicardial and microvascular flow after fibrinolytic therapy. Am Heart J. 2002, 144: 649-656.View ArticlePubMedGoogle Scholar
- Yan RT, Yan AT, Tan M, Canadian Acute Coronary Syndrome Registry Investigators, et al: Underuse of evidence-based treatment partly explains the worse clinical outcome in diabetic patients with acute coronary syndromes. Am Heart J. 2006, 152: 676-683. 10.1016/j.ahj.2006.04.002.View ArticlePubMedGoogle Scholar
- Burns RJ, Gibbons RJ, Yi Q, CORE Study Investigators, et al: The relationships of left ventricular ejection fraction, end-systolic volume index and infarct size to six-month mortality after hospital discharge following myocardial infarction treated by thrombolysis. J Am Coll Cardiol. 2002, 39: 30-36. 10.1016/S0735-1097(01)01711-9.View ArticlePubMedGoogle Scholar
- Plein S, Greenwood JP, Ridgway JP, Cranny G, Ball SG, Sivananthan MU: Assessment of non-ST-segment elevation acute coronary syndromes with cardiac magnetic resonance imaging. J Am Coll Cardiol. 2004, 44: 2173-2181. 10.1016/j.jacc.2004.08.056.View ArticlePubMedGoogle Scholar
- Wagner A, Mahrholdt H, Holly TA, et al: Contrast-enhanced MRI and routine single photon emission computed tomography (SPECT) perfusion imaging for detection of subendocardial myocardial infarcts: an imaging study. Lancet. 2003, 361: 374-379. 10.1016/S0140-6736(03)12389-6.View ArticlePubMedGoogle Scholar
- Bellenger NG, Grothues F, Smith GC, Pennell DJ: Quantification of right and left ventricular function by cardiovascular magnetic resonance. Herz. 2000, 25: 392-399. 10.1007/s000590050031.View ArticlePubMedGoogle Scholar
- Thygesen K, Alpert JS, White HD, Joint ESC/ACCF/AHA/WHF Task Force for the Redefinition of Myocardial Infarction: Universal definition of myocardial infarction. J Am Coll Cardiol. 2007, 50: 2173-2195. 10.1016/j.jacc.2007.09.011.View ArticlePubMedGoogle Scholar
- Expert Committee on the Diagnosis and Classification of Diabetes Mellitus: Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care. 2004, 27: S5-10. 10.2337/diacare.27.2007.S5.View ArticleGoogle Scholar
- Gerber BL, Garot J, Bluemke DA, et al: Accuracy of contrast-enhanced magnetic resonance imaging in predicting improvement of regional myocardial function in patients after acute myocardial infarction. Circulation. 2002, 106: 1083-1089. 10.1161/01.CIR.0000027818.15792.1E.View ArticlePubMedGoogle Scholar
- Norhammar A, Malmberg K, Diderholm E, et al: Diabetes mellitus: the major risk factor in unstable coronary artery disease even after consideration of the extent of coronary artery disease and benefits of revascularization. J Am Coll Cardiol. 2004, 43: 585-591. 10.1016/j.jacc.2003.08.050.View ArticlePubMedGoogle Scholar
- King H, Aubert RE, Herman WH: Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998, 21: 1414-1431. 10.2337/diacare.21.9.1414.View ArticlePubMedGoogle Scholar
- Schramm TK, Gislason GH, Kober L, et al: Diabetes patients requiring glucose-lowering therapy and nondiabetics with a prior myocardial infarction carry the same cardiovascular risk: a population study of 3.3 million people. Circulation. 2008, 117: 1945-1954. 10.1161/CIRCULATIONAHA.107.720847.View ArticlePubMedGoogle Scholar
- Cubbon RM, Wheatcroft SB, Grant PJ, et al: Evaluation of Methods and Management of Acute Coronary Events Investigators. Temporal trends in mortality of patients with diabetes mellitus suffering acute myocardial infarction: a comparison of over 3000 patients between 1995 and 2003. Eur Heart J. 2007, 28: 540-545. 10.1093/eurheartj/ehl510.View ArticlePubMedGoogle Scholar
- Norhammar A, Lindback J, Ryden L, Wallentin L, Stenestrand U: Register of Information and Knowledge about Swedish Heart Intensive Care Admission (RIKS-HIA): Improved but still high short- and long-term mortality rates after myocardial infarction in patients with diabetes mellitus: a time-trend report from the Swedish Register of Information and Knowledge about Swedish Heart Intensive Care Admission. Heart. 2007, 93: 1577-1583. 10.1136/hrt.2006.097956.PubMed CentralView ArticlePubMedGoogle Scholar
- Granger CB, Califf RM, Young S, et al: Outcome of patients with diabetes mellitus and acute myocardial infarction treated with thrombolytic agents. The Thrombolysis and Angioplasty in Myocardial Infarction (TAMI) Study Group. J Am Coll Cardiol. 1993, 21: 920-925. 10.1016/0735-1097(93)90348-5.View ArticlePubMedGoogle Scholar
- Timmer JR, van der Horst IC, Ottervanger JP, Zwolle Myocardial Infarction Study Group, et al: Prognostic value of admission glucose in non-diabetic patients with myocardial infarction. Am Heart J. 2004, 148: 399-404. 10.1016/j.ahj.2004.04.007.View ArticlePubMedGoogle Scholar
- Gustafsson I, Kistorp CN, James MK, Faber JO, Dickstein K, Hildebrandt PR, OPTIMAAL Study Group: Unrecognized glycometabolic disturbance as measured by hemoglobin A1c is associated with a poor outcome after acute myocardial infarction. Am Heart J. 2007, 154: 470-476. 10.1016/j.ahj.2007.04.057.View ArticlePubMedGoogle Scholar
- Bolk J, van der Ploeq T, Cornel JH, Arnold AE, Sepers J, Umans VA: Impaired glucose metabolism predicts mortality after a myocardial infarction. Int J Cardiol. 2001, 79: 207-214. 10.1016/S0167-5273(01)00422-3.View ArticlePubMedGoogle Scholar
- Gibbons RJ, Valeti US, Araoz PA, Jaffe AS: The quantification of infarct size. J Am Coll Cardiol. 2004, 44: 1533-1542. 10.1016/j.jacc.2004.06.071.View ArticlePubMedGoogle Scholar
- Younger JF, Plein S, Barth J, Ridgway JP, Ball SG, Greenwood JP: Troponin-I concentration 72 h after myocardial infarction correlates with infarct size and presence of microvascular obstruction. Heart. 2007, 93: 1547-1551. 10.1136/hrt.2006.109249.PubMed CentralView ArticlePubMedGoogle Scholar
- Cochet A, Zeller M, Lalande A, et al: Utility of Cardiac Magnetic Resonance to assess association between admission hyperglycemia and myocardial damage in patients with reperfused ST-Segment Elevation Myocardial Infarction. J Cardiovasc Magn Res. 2008, 10: 2-10.1186/1532-429X-10-2.View ArticleGoogle Scholar
- Goyal A, Mehta SR, Gerstein HC, et al: Glucose levels compared with diabetes history in the risk assessment of patients with acute myocardial infarction. Am Heart J. 2009, 157: 763-770. 10.1016/j.ahj.2008.12.007.View ArticlePubMedGoogle Scholar
- Kushner FG, Hand M, Smith SC, et al: 2009 Focused updates: ACC/AHA guidelines for the management of patients with ST-elevation myocardial infarction (updating the 2004 guideline and 2007 focused update) and ACC/AHA/SCAI guidelines on percutaneous coronary intervention (updating the 2005 guideline and 2007 focused update): A report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2009, 54: 2205-2241. 10.1016/j.jacc.2009.10.015.View ArticlePubMedGoogle Scholar
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