Background: Coronary artery disease is one of the most important causes of death in industrialized countries. Diabetes mellitus is a modifiable risk factor for coronary artery disease. It increases the risk of coronary artery disease by 2 to 4-fold.This increased risk occurs in patients with DM andnon-diabetic patients with impaired glucose tolerance (IGT).Moreover, increased admission glucose levels may increase mortality rates in patients with acute myocardial infarction (AMI), regardless of diabetic status.
Objective: To assess the relationship between admissions HbA1c level and short term outcomes of acute ST elevation myocardial infarction treated by primary PCI in non-diabetic patients.
Material and methods: This is an observational study was conducted at Coronary care unit & coronary catheterization lab unit of cardiology department in Ain Shams University hospitals in the period from 1-9-2018 till 1-3-2019.
Results: 100 patients without prior diagnosis of DM were included in our study population Three categories of patients were created according to HbA1c level: Group 1 (<5.7%): 46 patients (46%); Group 2 (5.7 to 6.4%): 38 patients (38%); Group 3 (>6.5%): 16 patients (16%).Baseline characteristics of the study population are shown in Table 1, the mean age of our sample was 55.06±11.73 years and 96% were males, there was highly statistically significant difference found between the 3 groups regarding SYNTAX score with P-value (0.002) & another highly significant difference in EF between the 3 groups.
Conclusion: The present study showed that admission higher HbA1c level in non-diabetic patients presented by acute STEMI is associated with more severe CAD. MACE & thrombus burden were not found in this study to be related to glycated hemoglobin. Introducing measurement of HbA1c in the CCU seems to be a simple method to obtain important information on the expected severity of coronary lesions.
Keywords: admission glycated hemoglobin, angiographic characteristics, myocardial infarction
AMI, acute myocardial infarction; MI, myocardial infarction; HbA1c, hemoglobin A1C; CIN, contrast induced nephropathy; MACE, major adverse cardiac events; NS, non-significant; HS, highly significant
Coronary artery disease is one of the most important cause of death in industrialized countries. Diabetes mellitus is a modifiable risk factor for coronary artery disease. It increases the risk of coronary artery disease by 2 to 4-fold.This increased risk occurs in patients with DM and non-diabetic patients with impaired glucose tolerance (IGT).Moreover, increased admission glucose levels may increase mortality rates in patients with acute myocardial infarction (AMI), regardless of diabetic status.Up till now there is no agreement about the threshold glycemic level for developing cardiovascular complications.1–10
Increased catecholamine levels in acute myocardial infarction (AMI) lead to stress induced hyperglycemia, so looking only at plasma glucose levels at the time of an AMI cannot predict the prognosis.11 Glycosylated hemoglobin A1C (HbA1c) is a measure of the average blood glucose levels over 2 months12 and is minimally affected by acute hyperglycemia often observed in myocardial infarction (MI). Elevated HbA1c levels are associated with an increased risk for future micro-vascular and macro-vascular disease.13 HbA1c can be assessed in the non-fasted state and has higher reproducibility than fasting glucose.14 There is consistent evidence that optimal glycemic control (defined as HbA1c ≤7%) results in a lower incidence of micro-vascular complications in both type 1 and type 2 DM.15 Moreover, a report found that elevated HbA1c levels are also predictive for cardiovascular disease and mortality in patients without DM, independent of the fasting glucose value.16
Some data suggest a high HbA1c level as a marker of extensive coronary arterial disease.17 There are some other studies supporting the association between admission serum HbA1c level and increased long-term mortality of non-diabetic patients admitted with STEMI and a higher rate of CAD in these patients.18,19 There have been few studies which have shown HbA1c to be predictive of CAD in non-diabetes, but only in limited studies HbA1c has been correlated with angiographically proven CAD using Syntax score which was developed as a comprehensive angiographic scoring tool for quantification of coronary lesions with respect to their number, location, and complexity.20,21
The aim of the present study was to assess the effect of admission HbA1c on outcome of 1ry PCI and short-term outcome of adverse cardiac events in patients without known diabetes mellitus who were admitted with acute ST elevation myocardial infarction.
Patients and methods
Inclusion criteria
Study population includes patients who came to our hospitals & were directly transported to the catheterization laboratory on arrival, and acute coronary angiography was performed with subsequent PCI when indicated as part of the routine treatment for all STEMI patients in our institute & those who received thrombolysis in other hospitals & referred to us for further management.
Exclusion criteria
Sample size
100 patients who present to Ain Shams University & Specialized hospitals during the study period will be enrolled in the study after fulfilling the inclusion criteria.
Ethical considerations
Ain Shams university ethical committee approval was obtained according to the ethical guidelines of the 1975 declaration of Helsinki as revised in 2008.
Study tools: Checklist for assessment of all the clinical data relevant to the patient. All these sheets were collected then the data entry was carried out through a computer system in order to establish a data-based system for all the patients.
All patients after written informed consent were subjected to the following
Primary endpoints
Secondary endpoints
Development of contrast induced nephropathy (CIN).
Statistical analysis
Data was collected, tabulated and all the results will be subjected to adequate statistical analysis using Chi-square test, One Way ANOVA test & Kruskal Wallis test.P-value >0.05: Non significant (NS); P-value <0.05: Significant (S); P-value< 0.01: highly significant (HS).
|
No. = 100 |
|
Age |
Mean±SD |
55.0 ±11.73 |
Range |
30 – 88 |
|
Sex |
Female |
4(4.0%) |
Male |
96(96.0%) |
|
Smoking |
Negative |
30(30.0%) |
Positive |
70(70.0%) |
|
Hypertension |
Negative |
76(76.0%) |
Positive |
24(24.0%) |
|
Family History |
Negative |
98(98.0%) |
Positive |
2(2.0%) |
|
Drug History |
Negative |
86(86.0%) |
Positive |
14(14.0%) |
|
History oh IHD |
Negative |
88(88.0%) |
Positive |
12(12.0%) |
Table 1 Demographic data of the study population
|
Normal group |
Pre DM group |
DM group |
Test value |
P-value |
Sig. |
|
No. = 46 |
No. = 38 |
No. = 16 |
|||||
Age |
Mean±SD |
54.22 ± 11.65 |
57.79 ± 12.81 |
51.00 ± 7.61 |
2.154• |
0.122 |
NS |
Range |
30 – 82 |
31 – 88 |
40 – 60 |
||||
Sex |
Female |
4(8.7%) |
0(0.0%) |
0(0.0%) |
4.891* |
0.087 |
NS |
Male |
42(91.3%) |
38(100.0%) |
16(100.0%) |
||||
Smoking |
Negative |
12(26.1%) |
16(42.1%) |
2(12.5%) |
5.320* |
0.070 |
NS |
Positive |
34(73.9%) |
22(57.9%) |
14(87.5%) |
||||
Hypertension |
Negative |
32(69.6%) |
32(84.2%) |
12(75.0%) |
2.457* |
0.293 |
NS |
Positive |
14(30.4%) |
6(15.8%) |
4(25.0%) |
||||
Family History |
Negative |
46(100.0%) |
36(94.7%) |
16(100.0%) |
3.330* |
0.189 |
NS |
Positive |
0(0.0%) |
2(5.3%) |
0(0.0%) |
||||
Drug History |
Negative |
36(78.3%) |
36(94.7%) |
14(87.5%) |
4.727* |
0.094 |
NS |
Positive |
10(21.7%) |
2(5.3%) |
2(12.5%) |
||||
History oh IHD |
Negative |
40(87.0%) |
32(84.2%) |
16(100.0%) |
2.746* |
0.253 |
NS |
Positive |
6(13.0%) |
6(15.8%) |
0(0.0%) |
Table 2 Comparison between the 3 groups regarding demographic data
P-value >0.05: Non significant(NS); P-value <0.05: Significant(S); P-value< 0.01: highly significant(HS)
*:Chi-square test; •: One Way ANOVA test; ‡: Kruskal Wallis test
|
Normal group |
Pre DM group |
DM group |
Test value |
P-value |
Sig. |
|
No. = 46 |
No. = 38 |
No. = 16 |
|||||
HBA1C |
Mean±SD |
5.33 ± 0.25 |
5.97 ± 0.19 |
7.84 ± 1.59 |
85.720• |
0.000 |
HS |
Range |
4.8- 5.6 |
5.7 – 6.4 |
6.5 – 11.6 |
||||
Pain to FMC |
Median(IQR) |
8(4-12) |
6(4 - 11) |
4(2.5 - 9.5) |
4.117ǂ |
0.128 |
NS |
Range |
2-24 |
1 – 24 |
1 – 12 |
||||
Type of STEMI |
Anterior |
32(69.6%) |
18(47.4%) |
6(37.5%) |
22.156 |
0.014 |
S |
Lateral |
2(4.3%) |
2(5.3%) |
0(0.0%) |
||||
Inferior |
8(17.4%) |
8(21.1%) |
6(37.5%) |
||||
Infroposterior |
2(4.3%) |
8(21.1%) |
2(12.5%) |
||||
Infrolateral |
0(0.0%) |
0(0.0%) |
2(12.5%) |
||||
Antroseptal |
2(4.3%) |
2(5.3%) |
0(0.0%) |
Table 3 Comparison between DM groups regarding admission HBA1c, pain to first medical contact(FMC), and type of STEMI
P-value >0.05: Non significant(NS); P-value <0.05: Significant(S); P-value< 0.01: highly significant(HS)
*:Chi-square test; •: One Way ANOVA test; ‡: Kruskal Wallis test
|
Normal group |
Pre DM group |
DM group |
Test value |
P-value |
Sig. |
|
No. = 46 |
No. = 38 |
No. = 16 |
|||||
SYNTAX |
Mean±SD |
14.96 ± 5.07 |
16.74 ± 8.19 |
19.94 ± 4.35 |
6.458• |
0.002 |
HS |
EF |
Mean±SD |
38.78 ± 9.96 |
45.79 ± 11.01 |
45.63 ± 10.22 |
5.551• |
0.005 |
HS |
|
|
|
|
Table 4 Comparison between different DM groups regarding SYNTAX score & EF by 2-D eye – balling
P-value >0.05: Non significant(NS); P-value <0.05: Significant(S); P-value< 0.01: highly significant(HS)
*:Chi-square test; •: One Way ANOVA test; ‡: Kruskal Wallis test
|
Normal group |
Pre DM group |
DM group |
Test value* |
P-value |
Sig. |
||||
No. |
% |
No. |
% |
No. |
% |
|||||
Thrombus burden |
0 |
32 |
69.6% |
24 |
63.2% |
6 |
37.5% |
5.215 |
0.074 |
NS |
1 |
14 |
30.4% |
14 |
36.8% |
10 |
62.5% |
||||
TIMI flow |
0 |
2 |
4.3% |
0 |
0.0% |
0 |
0.0% |
13.346 |
0.038 |
S |
1 |
0 |
0.0% |
0 |
0.0% |
2 |
12.5% |
||||
2 |
16 |
34.8% |
14 |
36.8% |
4 |
25.0% |
||||
3 |
28 |
60.9% |
24 |
63.2% |
10 |
62.5% |
Table 5 Comparison between the 3 groups regarding Thrombus burden, TIMI flow
P-value >0.05: Non significant(NS); P-value <0.05: Significant(S); P-value< 0.01: highly significant(HS)
*:Chi-square test; •: One Way ANOVA test; ‡: Kruskal Wallis test
|
Normal group |
Pre DM group |
DM group |
Test value* |
P-value |
Sig. |
||||
No. |
% |
No. |
% |
No. |
% |
|||||
MACE |
Negative |
40 |
87.0% |
34 |
89.5% |
14 |
87.5% |
0.129 |
0.937 |
NS |
Positive |
6 |
13.0% |
4 |
10.5% |
2 |
12.5% |
||||
CIN |
Negative |
42 |
91.3% |
32 |
84.2% |
14 |
87.5% |
0.996 |
0.608 |
NS |
Positive |
4 |
8.7% |
6 |
15.8% |
2 |
12.5% |
Table 6 Comparison between the 3 groups regarding MACE & CIN
P-value >0.05: Non significant(NS); P-value <0.05: Significant(S); P-value< 0.01: highly significant(HS)
*:Chi-square test
|
HBA1C |
|
R |
P-value |
|
Age |
0.022 |
0.829 |
Pain to FMC |
-0.200* |
0.046 |
SYNTAX |
0.492** |
0.000 |
EF |
0.125 |
0.215 |
Table 7 Correlation between HBA1C with Age, Pain to FMC, SYNTAX, and EF
The Previous table shows that there was no statistically significant difference found between DM groups regarding Demographic data. The Previous table shows that there was highly statistically significant difference found between the 3 groups regarding HBA1C with P-value (0.000) while there was no statistically significant difference found between DM groups regarding pain to FMC. The Previous table shows that there was highly statistically significant difference found between the 3 groups regarding SYNTAX score with P-value (0.002) & another highly significant difference in EF between the 3 groups. In the previous table, there was no statistically significant difference found between the 3 groups regarding Thrombus burden.
The same table shows another statistically significant difference found between the 3 groups regarding TIMI flow with P-value (0.038) being higher in pre-DM group with 63.2% of the pre DM had a better TIMI flow. This table shows no statistically significant difference found between the 3 groups regarding MACE & CIN. The Previous table shows that there was highly statistically significant correlation between level of HbA1c on admission & SYNTAX score with p- value (0.000) while there was no statistically significant correlation found between groups regarding EF.
Stress hyperglycemia commonly occurs in acute myocardial infraction (AMI) secondary to increased catecholamine levels, so looking only at plasma glucose levels at the time of an AMI cannot predict the prognosis.12 Glycosylated hemoglobin A1c (HbA1c) is a measure of the average blood glucose levels over 2 months22 and is minimally affected by acute hyperglycemia often observed in myocardial infarction (MI).Using the glucose test, we may fail to identify the undiagnosed DM due to high prevalence of stress hyperglycemia in this population. HbA1c reflects long-term glycometabolic control,24 and its level as higher than 6.5% is now considered as an alternative category of DM. While according to a recent guideline for DM diagnosis, HbA1c from 5.7% to 6.5% is considered as pre-diabetes.25 In our study, patients with underlying pre-diabetes and unknown overt DM after hospital admission represent a major portion from the study population (38% for the pre-diabetes & 16 % for newly diagnosed cases).It is reported that 25% of AMI patients had newly diagnosed DM. In our study, 16 newly diagnosed cases of diabetes (16%) were documented.23
We found a substantial proportion of patients suffering from AMI with underlying pre-diabetes and unknown overt DM after hospital admission. These patients with disturbed glucose metabolism had worse early outcomes, characterized by progressive increased rates of in-hospital mortality according to HbA1c & higher SYNTAX score indicating more complex lesions in angiography. Our results showed a highly statistically significant difference concerning the SNTAX score was noted between the 3 groups: in the normal group SYNTAX ranged from 6–22 with Mean±SD 14.96±5.07, while it was 3–34 (Mean±SD 16.74±8.19) in group 2, finally for the DM group (10–28.5 Mean±SD 19.94±4.35).
This was concordant with previous studies by Cakmak et al.26 and Kassaian et al.27 This can be explained by insulin resistance in hyperglycemia promoting molecular mechanism by Advanced Glycation End Products (AGEs) which are intimately involved in the pathophysiology of cardiovascular disease by stimulating inflammation, contributing to atheroma formation modulating vascular stiffness and the disturbed endothelial function by reduction of nitric oxide release and increased vascular smooth muscle proliferation 28 and increase of HbA1c one percent is associated with 2.8-fold increase in CAD.
In our study, we found that most of the patients having normal HbA1c had lower LVEF (mean 38.78±9.96) as compared to most of the patients with high normal HbA1c, who had higher LVEF (45.79±11.01) This is discordant with Razzaq et al.,29 showed that the mean EF was significantly lower in group HbA1c 6.5-8.5 and in group HbA1c >8.5 as compared with that group <6.5. A linear decrease in EF was found with rising HbA1c levels in patients with unstable angina (P=0.0043), with ST-segment elevation myocardial infarction (P = 0.0290) and non-segment elevation myocardial infarction (P=0.0015).
In our study, TIMI flow was found unexpectedly higher in group 2 (Pre-diabetics) with statistically significance as P-value was (0.038) showing 63.2% of the pre DM had TIMI flow III. This finding was not in agreement with Planner et al. who explained the fact that hyperglycemia is associated with higher rate of TIMI 0\1 and lower rate of complete revascularization TIMI and hyperglycemia adversely affect platelets function and endothelial function, promote inflammation, and result in pro-coagulable condition; it is worth mentioning that hyperglycemia per se in STEMI leads to impaired coronary flow on presentation and after primary PCI.32 The result of MI, however, was still less conclusive as in-hospital managements, such as intervention procedures and medications, may influence the clinical outcomes.
The present study showed that admission higher HbA1c level in non-diabetic patients presented by acute STEMI is associated with more severe CAD. MACE & thrombus burden were not found in this study to be related to glycated hemoglobin. Introducing measurement of HbA1c in the CCU seems to be a simple method to obtain important information on the expected severity of coronary lesions.
The sample size of the study was small mostly due to unaffordability of patients. A larger sample size would have yielded better outlook towards the association of HbA1c with prognosis of patients with acute coronary syndrome.
None.
Author declares that tier is no conflicts of interest towards the article.
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