Literature DB >> 32000678

Impact of glycemic control status on patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

Yan Li1, Xiaowen Li2, Yinhua Zhang1, Leimin Zhang3, Qingqing Wu4, Zhaorun Bai1, Jin Si1, Xuebing Zuo1, Ning Shi1, Jing Li5, Xi Chu6.   

Abstract

BACKGROUND: The combined effects of diabetes mellitus (DM), admission plasma glucose (APG), and glycated hemoglobin (HbA1c) levels on predicting long-term clinical outcomes in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (pPCI) are unknown. Therefore, we evaluated their combined effects on long-term clinical outcomes in STEMI patients treated with pPCI.
METHODS: In total, 350 consecutive patients with STEMI undergoing pPCI were enrolled. Patients were divided into 3 groups according to DM history and APG and HbA1c levels. The cumulative rates of 24-month all-cause deaths and major adverse cardiac and cerebrovascular events (MACCEs) were calculated.
RESULTS: Both the incidence of all-cause deaths and cumulative rates of MACCEs were significantly the lowest in patients without a DM history and admission HbA1c level < 6.5%. DM patients with poor glycemic control or stress hyperglycemia on admission experienced the highest rates of all-cause deaths, MACCEs, and cardiac deaths. Admission HbA1c levels, Triglyceride (TG) levels, hemoglobin levels, DM history, and admission Killip class > 1 correlated with 24-month all-cause death; HbA1c levels on admission, DM history, APG levels, history of stroke, history of coronary heart disease, and TG levels on admission were significantly associated with MACCEs through the 24-month follow-up. The predictive effects of combining DM and APG and HbA1c levels were such that for STEMI patients undergoing pPCI, DM patients with poor glycemic control or with stress hyperglycemia on admission had worse prognosis than other patients.
CONCLUSION: Strict control of glycemic status may improve the survival of patients who have both DM and coronary heart diseases.

Entities:  

Keywords:  Diabetes; Glycated hemoglobin; Hyperglycemia; Percutaneous coronary intervention; ST-segment elevation myocardial infarction

Mesh:

Substances:

Year:  2020        PMID: 32000678      PMCID: PMC6993353          DOI: 10.1186/s12872-020-01339-x

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


Background

Ischemic heart disease threatens global health and leads to increasing mortality worldwide [1]. In 1977, the first percutaneous coronary intervention (PCI) was performed. Currently, PCI has become one of the most frequently performed therapeutic interventions in acute myocardial infarction (AMI) cases, resulting in a steady decline in periprocedural adverse events [2]. Diabetic patients account for more than a quarter of all patients undergoing PCI [3, 4]. Diabetes mellitus (DM) has long been recognized as an independent risk factor for cardiovascular disease (CVD) and is also an independent predictor of adverse clinical outcomes after PCI [5, 6]. Hyperglycemia on admission has been associated with major adverse cardiovascular events (MACEs) and increased mortality in patients admitted with AMI. It has also been associated with higher in-hospital and long-term mortality in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary PCI (pPCI) [7-10]. Since 2010, glycated hemoglobin (HbA1c) has been recommended by the World Health Organization and American Diabetes Association as a point-of-care test for the diagnosis of DM (≥6.5%) [11]. HbA1c is also a marker of glycemic control status for the previous 8 to 12 weeks; an elevated HbA1c level is associated with an increased risk of cardiovascular diseases in patients with DM [12]. DM, admission plasma glucose (APG), and HbA1c levels are associated with clinical outcomes in patients with CVD. Nevertheless, the combined effects of DM, APG, and HbA1c on clinical outcomes in Chinese patients with STEMI undergoing pPCI remain unknown, and if the combined effects can be clearly elucidated, the management of patients with coronary heart disease (CHD) can be improved, and blood sugar control can be more accurately emphasized. Therefore, we evaluated the combined effects of DM and APG and HbA1c levels on long-term clinical outcomes in STEMI patients treated with pPCI.

Methods

This retrospective study investigated the combined effects of DM and APG and HbA1c levels on long-term clinical outcomes in STEMI patients treated with pPCI. Patients with STEMI undergoing pPCI in Xuanwu Hospital Capital Medical University from April 2009 to December 2015 were enrolled in our study. Patients were eligible if they had both of the following: 1) an elevated cardiac troponin I level (≥2.0 ng/mL) or troponin T level (≥0.1 ng/mL) or creatine kinase-MB (≥19 U/L, exceeding twice the upper limit of normal) and 2) new ST-segment elevation of greater than 2 mm in at least 2 precordial leads or greater than 1 mm in at 2 least limb leads. Patients were excluded if 1) there were no data on APG and admission HbA1c levels; 2) they had a history of coronary artery bypass grafting; or 3) they were lost to follow-up. The follow-up information of patients was collected by medical records or telephone contact with the patient at 6th and 12th months, and then annually. The shortest follow-up time was 24 months. The cumulative rates of 24-month all-cause death and major adverse cardiac and cerebrovascular events (MACCEs) were assessed as adverse clinical outcomes. This study was approved by the Ethics Committee of the Xuanwu Hospital Capital Medical University. All participants signed informed consent forms. DM was defined as having a previous history of type 2 DM based on medical institution standard diagnostic criteria, use of diet, oral glucose-lowering medication, and/or insulin or an HbA1c level ≥ 6.5% [11]. Previous studies found that the prognostic cut-off between hyperglycemia and adverse clinical outcomes in individuals with DM [7, 13, 14] was 180 mg/dL (10 mmol/L) for those with DM, as shown in a meta-analysis by Capes et al. [8]. The HbA1c levels of non-pregnant adults with DM should be < 7.0% according to the recommendation of Standards of Medical Care in Diabetes-2018 [15]. When patients have hyperglycemia in hospital, they were accepted insulin therapy to decrease their plasma glucose. According to these criteria, 350 patients were divided into 3 groups: Group 1 (n = 174) with no DM and admission HbA1c level < 6.5%; Group 2 (n = 64) with DM, good glycemic control, and no stress hyperglycemia on admission, defined as follows: a history of DM or admission HbA1c level ≥ 6.5% or APG < 10 mmol/L and admission HbA1c < 7%; and Group 3 (n = 112) with DM but not good glycemic control or stress hyperglycemia on admission, defined as follows: a history of DM or admission HbA1c level ≥ 6.5%, APG level ≥ 10 mmol/L, or admission HbA1c ≥7%. The primary outcomes were 24-month cumulative all-cause deaths and MACCEs. MACCEs include cardiac deaths, stent thrombosis, repeat revascularization, myocardial infarction (MI), and stroke. Continuous variables are described as mean ± standard deviation or median (interquartile range), and differences among the groups were assessed by the independent t-test or the Wilcoxon rank-sum test. Categorical variables were described as number (n) with percentage (%), and differences were analyzed by the chi-square test or Fisher exact test. Predictors of 24-month cumulative all-cause deaths and MACCEs were identified using a multivariable Cox regression analysis. We included covariates that were statistically significant in univariate analysis or those that were clinically relevant in the multivariate analysis: a history of DM, history of CHD, hypertension, history of stroke, multivessel disease, admission Killip class, admission laboratory results (glucose, HbA1c, triglyceride [TG], high-density lipoprotein, low-density lipoprotein, apolipoprotein AI, apolipoprotein B [Apo B] and hemoglobin levels), and long-term medication before admission (regular medication usage over a 6-month period; e.g., aspirin, statin, beta-blocker, angiotensin-converting enzyme inhibitor [ACEI]). Kaplan-Meier methods were used to estimate the rates of 24-month cumulative all-cause deaths and MACCEs and to plot the time-to-cumulative occurrence of all-cause deaths and MACCEs in the 3 groups. The significance of differences among the groups was determined using the log-rank test. SPSS version 22.0 (IBM Corp., Chicago, IL) was used for statistical analysis, and a P value < 0.05 was defined as the threshold of statistical significance.

Results

Among 350 patients, 176 (50.3%) met the criteria for DM (Groups 2 and 3). The baseline characteristics and angiographic findings are listed in Table 1. Patients with DM had higher rates of hypertension and were taking beta-blockers long-term before admission compared to patients without DM (P < 0.05). Patients in Group 2 had higher rates of long-term aspirin use before admission than did patients in Group 1 (P < 0.05). Compared with Group 1 patients, Group 3 patients were older, had more men, a higher number of patients with multivessel disease, higher long-term ACEI use before admission, lower hemoglobin level and higher admission Killip class (P < 0.05). Group 3 patients had the highest rates of insulin therapy in hospital and the highest values of admission TG and Apo B levels (P < 0.05).
Table 1

Baseline characteristics

CharacteristicGroup 1 (174)Group 2 (64)Group 3 (112)
Age (years)59.34 ± 11.7161.61 ± 12.8564.29 ± 10.84 #
Male (%)149 (85.6%)52 (81.3%)80 (71.4%)#
Prior CHD (%)30 (17.2%)15 (23.4%)30 (26.8%)
Hypertension (%)80 (46%)43 (67.2%)#66 (58.9%)#
Prior Stroke (%)16 (9.2%)9 (14.1%)13 (11.6%)
Prior PCI (%)12 (6.9%)8 (12.5%)15 (13.3%)
Multivessel disease90 (51.8%)42 (65.6%)88 (78.6%)#
Killip class 3–4 (%)8 (4.6%)3 (4.6%)12 (10.7%) #
Laboratory results
 Glucose (mmol/L)

5.69

(5.05–6.60)

6.65 #

(6.15–7.97)

11.11 # *

(7.85–13.76)

 HbA1c (%)

5.60

(5.30–5.90)

6.60 #

(6.10–6.90)

7.80 # *

(7.30–9.58)

 Hemoglobin(g/L)148.63 ± 15.05144.94 ± 16.58143.36 ± 17.26#
 TG (mmol/L)

1.46

(1.07–2.04)

1.51

(1.04–2.10)

1.70 # *

(1.22–2.30)

 HDL-C (mmol/L)

1.24

(0.99–1.47)

1.23

(0.99–1.46)

1.20

(0.99–1.43)

 LDL-C (mmol/L)

2.72

(2.20–3.33)

2.73

(2.22–3.35)

2.77

(2.26–3.35)

 Apo AI (g/L)

1.14

(0.96–1.33)

1.17

(0.99–1.35)

1.17

(1.01–1.24)

 Apo B (g/L)

0.84

(0.68–0.97)

0.85

(0.69–0.97)

0.88 # *

(0.79–1.02)

 Creatinine(umol/L)

68.00

(61.00–78.25)

68.50

(61.00–80.75)

67.50

(57.00–79.75)

Long-term medication before admission
 Aspirin21 (12.5%)17 (27.4%)#20 (17.9%)
 Clopidogrel12 (7.1%)7(11.3%)11 (9.8%)
 Statin11 (6.5%)9 (14.5%)16 (14.2%)
 Beta-blocker16 (9.5%)12 (19.4%)#21 (18.8%)#
 ACEI11 (6.5%)5 (8.1%)17 (15.1%) #
Medication in hospital
 Insulin19(10.9%)10(15.6%)63(56.3%) # *
 Beta-blocker155(89.1%)58(90.6%)101(90.2%)
 ACEI155(89.1%)62(96.9%)106(94.6%)

ACEI angiotensin converting enzyme inhibitor, Apo AI apolipoprotein AI, Apo B apolipoprotein B, CHD coronary heart disease, HbA1c glycated hemoglobin, HDL high-density lipoprotein, LDL Low-density lipoprotein, PCI percutaneous coronary intervention, TG triglyceride

#P < 0.05, vs Group 1

*P < 0.05, vs Group 2

Baseline characteristics 5.69 (5.05–6.60) 6.65 # (6.15–7.97) 11.11 # * (7.85–13.76) 5.60 (5.30–5.90) 6.60 # (6.10–6.90) 7.80 # * (7.30–9.58) 1.46 (1.07–2.04) 1.51 (1.04–2.10) 1.70 # * (1.22–2.30) 1.24 (0.99–1.47) 1.23 (0.99–1.46) 1.20 (0.99–1.43) 2.72 (2.20–3.33) 2.73 (2.22–3.35) 2.77 (2.26–3.35) 1.14 (0.96–1.33) 1.17 (0.99–1.35) 1.17 (1.01–1.24) 0.84 (0.68–0.97) 0.85 (0.69–0.97) 0.88 # * (0.79–1.02) 68.00 (61.00–78.25) 68.50 (61.00–80.75) 67.50 (57.00–79.75) ACEI angiotensin converting enzyme inhibitor, Apo AI apolipoprotein AI, Apo B apolipoprotein B, CHD coronary heart disease, HbA1c glycated hemoglobin, HDL high-density lipoprotein, LDL Low-density lipoprotein, PCI percutaneous coronary intervention, TG triglyceride #P < 0.05, vs Group 1 *P < 0.05, vs Group 2 At the 24-month follow-up, 28 patients died, and 41 patients experienced MACCEs. The Kaplan-Meier survival curves showed that both the incidence of all-cause death and the cumulative rates of MACCEs were the lowest in Group 1, and Group 3 patients had the highest rates of all-cause death, MACCEs, and cardiac death (P < 0.05) (Table 2) (Figs. 1, 2 and 3).
Table 2

Clinical outcomes at 24-month follow-up

Adverse EventsGroup 1 (174)Group 2 (64)Group 3 (112)P value
overall1 vs 21 vs 32 vs 3
All-cause death2 (1.1%)5 (7.8%)21 (18.8%)< 0.0010.007< 0.0010.048
MACCEs6 (3.4%)7 (10.9%)28 (25%)< 0.0010.024< 0.0010.025
Cardiac death1 (0.6%)2 (3.1%)21 (18.8%)< 0.0010.116< 0.0010.004
Stent thrombosis2 (1.1%)0 (0)1 (0.9%)0.70.3900.8740.418
Repeat revascularization2 (1.1%)4 (6.3%)4 (3.6%)0.0850.0240.1110.532
MI2 (1.1%)0 (0)3 (2.7%)0.2640.4030.2680.170
Stroke0 (0)1 (1.6%)1 (0.9%)0.2960.1610.1610.776

Values expressed are n (%). MACCEs major adverse cardiac and cerebrovascular event, includes cardiac death, stent thrombosis, repeat revascularization, MI and stroke, MI myocardial infarction

Fig. 1

Comparison of all-cause death rates in the overall population. a Comparison among the 3 groups; (b) comparison of Groups 1 and 2; (c) comparison of Groups 1 and 3; and (d) comparison of Groups 2 and 3

Fig. 2

Comparison of MACCE rates in the overall population. a Comparison among the 3 groups, (b) comparison of Groups 1 and 2; (c) comparison of Groups 1 and 3; and (d) comparison of Groups 2 and 3. MACCEs, major adverse cardiac and cerebrovascular events including cardiac death, stent thrombosis, repeat revascularization, MI, and stroke; MI, myocardial infarction

Fig. 3

Comparison of cardiac death rates in the overall population. a Comparison among 3 groups, (b) comparison of Groups 1 and 2; (c) comparison of Groups 1 and 3; and (d) comparison of Groups 2 and 3

Clinical outcomes at 24-month follow-up Values expressed are n (%). MACCEs major adverse cardiac and cerebrovascular event, includes cardiac death, stent thrombosis, repeat revascularization, MI and stroke, MI myocardial infarction Comparison of all-cause death rates in the overall population. a Comparison among the 3 groups; (b) comparison of Groups 1 and 2; (c) comparison of Groups 1 and 3; and (d) comparison of Groups 2 and 3 Comparison of MACCE rates in the overall population. a Comparison among the 3 groups, (b) comparison of Groups 1 and 2; (c) comparison of Groups 1 and 3; and (d) comparison of Groups 2 and 3. MACCEs, major adverse cardiac and cerebrovascular events including cardiac death, stent thrombosis, repeat revascularization, MI, and stroke; MI, myocardial infarction Comparison of cardiac death rates in the overall population. a Comparison among 3 groups, (b) comparison of Groups 1 and 2; (c) comparison of Groups 1 and 3; and (d) comparison of Groups 2 and 3 Admission HbA1c levels, TG levels, hemoglobin levels, history of DM, and admission Killip class > 1 were significantly associated with all-cause death through the 24-month follow-up (P < 0.05). The incidence of 24-month MACCEs significantly correlated with admission HbA1c levels, APG levels, TG levels, history of DM, stroke, and CHD (P < 0.05) (Tables 3 and 4).
Table 3

The relationship between 24-month all-cause death outcomes and risk factors

VariableHR95% CIP value
Admission HbA1c1.283[1.056, 1.558]0.012
Prior DM4.402[1.438, 13.469]0.009
Admission Killip class 2–42.906[1.182, 7.143]0.020
Admission Hemoglobin0.955[0.927, 0.984]0.003
Admission TG1.048[1.026, 1.070]< 0.001

CI confidence interval, DM diabetes mellitus, HbA1c glycated hemoglobin, HR hazard ratio, TG triglyceride

Table 4

The relationship between 24-month MACCEs outcomes and risk factors

VariableHR95% CIP value
Admission HbA1c1.353[1.142, 1.603]< 0.001
Prior DM3.372[1.483, 7.664]0.004
Admission glucose (high tertile (> 9.295 mmol/L))2.595[1.267, 5.312]0.009
Prior stroke4.136[1.803, 9.490]0.001
Prior CHD2.839[1.195, 6.742]0.018
Admission TG1.050[1.030, 1.071]< 0.001

CHD coronary heart disease, CI confidence interval, DM diabetes mellitus, HbA1c glycated hemoglobin, HR hazard ratio, MACCEs major adverse cardiac and cerebrovascular events, including cardiac death, stent thrombosis, repeat revascularization, MI and stroke, TG triglyceride

The relationship between 24-month all-cause death outcomes and risk factors CI confidence interval, DM diabetes mellitus, HbA1c glycated hemoglobin, HR hazard ratio, TG triglyceride The relationship between 24-month MACCEs outcomes and risk factors CHD coronary heart disease, CI confidence interval, DM diabetes mellitus, HbA1c glycated hemoglobin, HR hazard ratio, MACCEs major adverse cardiac and cerebrovascular events, including cardiac death, stent thrombosis, repeat revascularization, MI and stroke, TG triglyceride

Discussion

We demonstrated that patients without DM had a better prognosis after PCI than patients with DM undergoing PCI in terms of 24-month all-cause death and MACCEs. De Luca et al. [16] also found that patients with DM were more likely to have poor prognostic outcomes and a higher incidence of adverse events. A meta-analysis declared that in-hospital, short-, and long-term mortality was occurred apparently higher in diabetic patients after PCI, respectively, than in non-diabetic counterparts [17]. Therefore, in patients undergoing PCI, DM is an independent risk subset associated with worse clinical outcomes. Patients with DM were more likely to have higher rates of left main stenosis, chronic total occlusions, diffuse and multivessel disease, smaller vessel sizes, and longer lesion lengths [18, 19]. All these factors may affect subsequent revascularization. Furthermore, greater plaque burden, higher propensity for plaque rupture [20], enhanced prothrombotic status, exuberant neointimal hyperplasia [21], more aggressive pattern of atherosclerosis, and endothelial dysfunction are seen in the inflammatory environments in patients with DM [22]. All these data suggest that patients with DM experience a higher number of adverse events. Many studies demonstrated that APG was an indicator of the risk of short- and long-term MACCEs in patients undergoing PCI [8, 23–25]. We also found that higher APG levels were associated with higher rates of 24-month MACCEs by multivariate Cox regression analysis, regardless of the diagnosis of DM. Hyperglycemia on admission was considered as an acute stress response. Some investigations found that the impact of acute hyperglycemia seems to be more pronounced in patients without DM than in those with DM, suggesting that the magnitude of the acute glycemic rise from chronic levels, rather than the absolute admission glycemic level, can be detrimental [26-28]. When DM patients have hyperglycemia, the hyperglycemia can be derived from acute stress response or bad glycemic control before admission. Because of oxidative stress and amplified inflammatory immune reactions, stress hyperglycemia after STEMI could lead to endothelial and microvascular dysfunction. Plasma glucose levels are related to circulating inflammatory cytokine levels positively. Intensified oxidative stress and damaged endothelial function may be caused by higher levels of inflammatory cytokine concentrations, whereas reductions in circulating levels of inflammatory cytokines can improve endothelial function [29, 30]. Furthermore, hyperglycemia would provoke prothrombotic state and then decrease plasma fibrinolytic activity and activated tissue plasminogen [31]. According to these mechanisms, impaired myocytes [31, 32], impaired left ventricular function, and exacerbated cardiac damage may come from stress hyperglycemia after STEMI [33]. Taken together, these data suggest that admission hyperglycemia could be a negative prognostic factor among patients with STEMI. When the admission hyperglycemia in DM patients derive from bad glycemic control, our investigation also found STEMI patients with bad glycemic control before admission according to HbA1c have higher 24-month all-cause deaths and MACCEs rates. A meta-analysis that enrolled 33,040 participants reported that a 0.9% decline in the HbA1c level was associated with a 17% decrease in MACEs during acute coronary syndrome in patients with DM [34]. When we inputted admission HbA1c levels into the Cox regression proportional hazard multivariate analysis for all-cause deaths and MACCEs outcomes at 24 months, we found that higher admission HbA1c levels were significantly associated with higher rates of all-cause deaths and MACCEs. There are several possible mechanisms to explain the associations between higher HbA1c levels and poor clinical outcomes. First, Increased HbA1c is a measurement of previous poor glycemic control, and there is evidence that chronic hyperglycemia can induce vascular endothelial cell damage, with resulting vasomotor dysfunction, excessive extracellular matrix formation, and increased cellular proliferation [35], all of which can lead to adverse clinical outcomes after PCI. Second, Saleem et al.’s study found that the HbA1c level was an independent factor influencing the severity of CAD, as demonstrated by coronary angiography [36]. Third, an increase in HbA1c levels was clearly associated with adverse baseline characteristics such as a higher cardiovascular risk profile, and this study may partly explain the increase in long-term deaths [37]. When we place DM history, APG levels, and admission HbA1c levels together as a combined marker, we found that STEMI patients without DM after pPCI had the best prognosis, and DM patients with bad glycemic control or with stress hyperglycemia on admission had the worst prognosis in terms of 24-month all-cause deaths and MACCEs. We propose considering this combined marker as a long-term prognostic marker that can estimate adverse clinical outcome rates after pPCI for STEMI, and our study also helps direct blood glucose management of patients with STEMI undergoing PCI. On the basis of our study findings, we recommend that patients with STEMI should control their blood glucose strictly whether or not they have been diagnosed with DM. The present study has some limitations. First, this was a single-center observational study that included a relatively small sample size, which may lead to data bias; thus, a larger sample and more studies are needed to verify our results. Second, there were no considerations of the associations of impaired glucose tolerance or postprandial hyperglycemia with an increased risk for coronary artery disease because we did not perform oral glucose tolerance test (OGTT). We suggest that patients undergo OGTT if their admission blood glucose is beyond the range of normal values. Thirdly, our investigation was retrospective, and we only include STEMI patients and all of DM patients were type 2 DM. NSTEMI patients undergoing PCI and type 1 DM patients should also be investigated. Fourthly, our database doesn’t have data on patients’ body mass index (BMI), TIMI flow after pPCI, left ventricular ejection fraction, length of DM and therapy after discharge. These data are important to patients’ prognosis.

Conclusions

DM and higher APG and admission HbA1c levels led to higher rates of 24-month MACCEs in Chinese patients with STEMI undergoing pPCI. The combined effects of DM, APG levels, and HbA1c levels demonstrated that patients without DM had the best prognosis. Patients with both DM and CHD should control their glycemic levels strictly; this may improve their survival over that of patients with poor glycemic control or stress hyperglycemia on admission.
  37 in total

1.  Acute hyperglycemia and acute hyperinsulinemia decrease plasma fibrinolytic activity and increase plasminogen activator inhibitor type 1 in the rat.

Authors:  A Pandolfi; A Giaccari; C Cilli; M M Alberta; L Morviducci; E A De Filippis; A Buongiorno; G Pellegrini; F Capani; A Consoli
Journal:  Acta Diabetol       Date:  2001       Impact factor: 4.280

2.  2014 ESC/EACTS Guidelines on myocardial revascularization: The Task Force on Myocardial Revascularization of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS)Developed with the special contribution of the European Association of Percutaneous Cardiovascular Interventions (EAPCI).

Authors:  Stephan Windecker; Philippe Kolh; Fernando Alfonso; Jean-Philippe Collet; Jochen Cremer; Volkmar Falk; Gerasimos Filippatos; Christian Hamm; Stuart J Head; Peter Jüni; A Pieter Kappetein; Adnan Kastrati; Juhani Knuuti; Ulf Landmesser; Günther Laufer; Franz-Josef Neumann; Dimitrios J Richter; Patrick Schauerte; Miguel Sousa Uva; Giulio G Stefanini; David Paul Taggart; Lucia Torracca; Marco Valgimigli; William Wijns; Adam Witkowski
Journal:  Eur Heart J       Date:  2014-08-29       Impact factor: 29.983

3.  Impact of stress hyperglycemia on in-hospital stent thrombosis and prognosis in nondiabetic patients with ST-segment elevation myocardial infarction undergoing a primary percutaneous coronary intervention.

Authors:  Jian-Wei Zhang; Yu-Jie Zhou; Shu-Jun Cao; Qing Yang; Shi-Wei Yang; Bin Nie
Journal:  Coron Artery Dis       Date:  2013-08       Impact factor: 1.439

Review 4.  Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part II.

Authors:  Joshua A Beckman; Francesco Paneni; Francesco Cosentino; Mark A Creager
Journal:  Eur Heart J       Date:  2013-04-26       Impact factor: 29.983

5.  Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress.

Authors:  Katherine Esposito; Francesco Nappo; Raffaele Marfella; Giovanni Giugliano; Francesco Giugliano; Myriam Ciotola; Lisa Quagliaro; Antonio Ceriello; Dario Giugliano
Journal:  Circulation       Date:  2002-10-15       Impact factor: 29.690

6.  2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC).

Authors:  Borja Ibanez; Stefan James; Stefan Agewall; Manuel J Antunes; Chiara Bucciarelli-Ducci; Héctor Bueno; Alida L P Caforio; Filippo Crea; John A Goudevenos; Sigrun Halvorsen; Gerhard Hindricks; Adnan Kastrati; Mattie J Lenzen; Eva Prescott; Marco Roffi; Marco Valgimigli; Christoph Varenhorst; Pascal Vranckx; Petr Widimský
Journal:  Eur Heart J       Date:  2018-01-07       Impact factor: 29.983

7.  Unstable angina. A comparison of angioscopic findings between diabetic and nondiabetic patients.

Authors:  J A Silva; A Escobar; T J Collins; S R Ramee; C J White
Journal:  Circulation       Date:  1995-10-01       Impact factor: 29.690

8.  Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: a meta-analysis of randomised controlled trials.

Authors:  Kausik K Ray; Sreenivasa Rao Kondapally Seshasai; Shanelle Wijesuriya; Rupa Sivakumaran; Sarah Nethercott; David Preiss; Sebhat Erqou; Naveed Sattar
Journal:  Lancet       Date:  2009-05-23       Impact factor: 79.321

9.  Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction.

Authors:  S M Haffner; S Lehto; T Rönnemaa; K Pyörälä; M Laakso
Journal:  N Engl J Med       Date:  1998-07-23       Impact factor: 91.245

10.  Glycosylated hemoglobin (HbA1c) levels and clinical outcomes in diabetic patients following coronary artery stenting.

Authors:  Seyed Ebrahim Kassaian; Hamidreza Goodarzynejad; Mohammad Ali Boroumand; Mojtaba Salarifar; Farzad Masoudkabir; Mohammad Reza Mohajeri-Tehrani; Hamidreza Pourhoseini; Saeed Sadeghian; Narges Ramezanpour; Mohammad Alidoosti; Elham Hakki; Soheil Saadat; Ebrahim Nematipour
Journal:  Cardiovasc Diabetol       Date:  2012-07-17       Impact factor: 9.951

View more
  5 in total

1.  Plasma random glucose levels at hospital admission predicting worse outcomes in STEMI patients undergoing PCI: A case series.

Authors:  Tooba Ahmed Kirmani; Manjeet Singh; Sumeet Kumar; Karan Kumar; Om Parkash; Farah Yasmin; Farmanullah Khan; Najeebullah Chughtai; Muhammad Sohaib Asghar
Journal:  Ann Med Surg (Lond)       Date:  2022-05-29

2.  Admission hyperglycemia is associated with reperfusion failure in patients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention: a systematic review and meta-analysis.

Authors:  Jakrin Kewcharoen; Mohammed Ali; Angkawipa Trongtorsak; Poemlarp Mekraksakit; Wasawat Vutthikraivit; Somsupha Kanjanauthai
Journal:  Am J Cardiovasc Dis       Date:  2021-06-15

3.  Comparison of Clinical Outcomes after Non-ST-Segment and ST-Segment Elevation Myocardial Infarction in Diabetic and Nondiabetic Populations.

Authors:  Yong Hoon Kim; Ae-Young Her; Seung-Woon Rha; Cheol Ung Choi; Byoung Geol Choi; Ji Bak Kim; Soohyung Park; Dong Oh Kang; Ji Young Park; Sang-Ho Park; Myung Ho Jeong
Journal:  J Clin Med       Date:  2022-08-29       Impact factor: 4.964

4.  Association of admission hyperglycemia and all-cause mortality in acute myocardial infarction with percutaneous coronary intervention: A dose-response meta-analysis.

Authors:  Shao-Yong Cheng; Hao Wang; Shi-Hua Lin; Jin-Hui Wen; Ling-Ling Ma; Xiao-Ce Dai
Journal:  Front Cardiovasc Med       Date:  2022-09-12

5.  Admission hyperglycemia as an independent predictor of long-term prognosis in acute myocardial infarction patients without diabetes: A retrospective study.

Authors:  Cai-Yan Cui; Ming-Gang Zhou; Lian-Chao Cheng; Tao Ye; Yu-Mei Zhang; Feng Zhu; Si-Yi Li; Xing-Lin Jiang; Qiang Chen; Ling-Yao Qi; Xu Chen; Si-Qi Yang; Lin Cai
Journal:  J Diabetes Investig       Date:  2020-12-28       Impact factor: 4.232

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.