Literature DB >> 22894647

Immediate and one-year outcome of patients presenting with acute coronary syndrome complicated by stroke: findings from the 2nd Gulf Registry of Acute Coronary Events (Gulf RACE-2).

Jassim Al Suwaidi1, Khalid Al Habib, Nidal Asaad, Rajvir Singh, Ahmad Hersi, Husam Al Falaeh, Shukri Al Saif, Ahmed Al-Motarreb, Wael Almahmeed, Kadhim Sulaiman, Haitham Amin, Jawad Al-Lawati, Norah Q Al-Sagheer, Alawi A Alsheikh-Ali, Amar M Salam.   

Abstract

BACKGROUND: Stroke is a potential complication of acute coronary syndrome (ACS). The aim of this study was to identify the prevalence, risk factors predisposing to stroke, in-hospital and 1-year mortality among patients presenting with ACS in the Middle East.
METHODS: For a period of 9 months in 2008 to 2009, 7,930 consecutive ACS patients were enrolled from 65 hospitals in 6 Middle East countries.
RESULTS: The prevalence of in-hospital stroke following ACS was 0.70%. Most cases were ST segment elevation MI-related (STEMI) and ischemic stroke in nature. Patients with in-hospital stroke were 5 years older than patients without stroke and were more likely to have hypertension (66% vs. 47.6%, P = 0.001). There were no differences between the two groups in regards to gender, other cardiovascular risk factors, or prior cardiovascular disease. Patients with stroke were more likely to present with atypical symptoms, advanced Killip class and less likely to be treated with evidence-based therapies. Independent predictors of stroke were hypertension, advanced killip class, ACS type -STEMI and cardiogenic shock. Stroke was associated with increased risk of in-hospital (39.3% vs. 4.3%) and one-year mortality (52% vs. 12.3%).
CONCLUSION: There is low incidence of in-hospital stroke in Middle-Eastern patients presenting with ACS but with very high in-hospital and one-year mortality rates. Stroke patients were less likely to be appropriately treated with evidence-based therapy. Future work should be focused on reducing the risk and improving the outcome of this devastating complication.

Entities:  

Mesh:

Year:  2012        PMID: 22894647      PMCID: PMC3480946          DOI: 10.1186/1471-2261-12-64

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


Background

Stroke is the second leading cause of death worldwide and an estimated 795,000 persons have strokes in the USA each year [1]. There appears to be geographic variation in the incidence of stroke and its recurrence even within the same country [2]. The risk of developing stroke as a complication of acute coronary syndrome (ACS) is uncommon, however although this risk is decreasing gradually, the mortality rate from this complication is high [3]. Several studies explored risk factors for stroke after ACS and outcome, however these studies were almost exclusively conducted in developed countries, and data from other ethnicities are lacking [1,3]. We have recently reported that Middle Eastern patients presenting with ACS are relatively younger and are more likely to have diabetes mellitus and metabolic syndrome when compared to their western counterparts [4-6]. Hence, studying stroke in Middle Eastern ACS patients may contribute to our understanding of this complication after ACS. Using data from the First Gulf Registry of Acute Coronary Events (Gulf RACE) we have recently reported low prevalence of stroke associated with high in-hospital complication rates among patients presenting acute myocardial infarction [7]. Here, we review the clinical characteristics, in-hospital and 1-year outcome of stroke patients across the whole spectrum of ACS using data from the Gulf RACE-2.

Methods

Subjects

The data were collected from a 9-month prospective, multicenter study of the 2nd Gulf Registry of Acute Coronary Events (Gulf RACE) that recruited 7,939 consecutive ACS patients from 6 adjacent Middle Eastern Gulf countries (Bahrain, KSA, Qatar, Oman, United Arab Emirates, and Yemen) between October 2008 and June 2009. Nine subjects were taken out from the study due to non-ACS cases after final diagnosis. Patients diagnosed with ACS, including unstable angina (UA) and non-ST- and ST-elevation myocardial infarction (NSTEMI and STEMI, respectively), were recruited from 65 hospitals. The study was conducted in compliance with the Helsinki Declaration and ethical approval was obtained the Institutional Review Board and Research and Development Committees of the Ministries of Health in Bahrain, Saudi Arabia, Oman, Qatar, United Arab Emirates and Yemen [8]. On-site cardiac catheterization laboratory was available in 43% of the hospitals. There were no exclusion criteria, and thus, all the prospective patients with ACS were enrolled. The study received ethical approval from the institutional ethical bodies in all participating countries [8]. Diagnosis of the different types of ACS and definitions of data variables were based on the American College of Cardiology clinical data standards [9]. A Case Report Form (CRF) for each patient with suspected ACS was filled out upon hospital admission by assigned physicians and/or research assistants working in each hospital using standard definitions and was completed throughout the patient’s hospital stay. All CRFs were verified by a cardiologist then sent on-line to the principal coordinating center, where the forms were further checked for mistakes before submission for final analysis. An enquiry about patients’ survival at 1 and 12 months follow-up after discharged was made.

Definitions

Stroke was defined as neurologic deficit persisting more than 24 hours. Stroke types; hemorrhagic a stroke with documentation on imaging of hemorrhage in the cerebral parenchyma, or subarachnoid hemorrhage, Ischemic; a focal neurologic deficit that results from a thrombus or embolus (and not due to hemorrhage) or Unknown; if the type of stroke could not be determined by imaging or other means (e.g. from lumbar puncture) or if imaging was not performed [7,10].

Statistical analysis

Univariate comparisons of patients with and without strokes were made. Continuous variables are presented as means and Standard deviations and compared using the student t tests or Wilcoxon rank sum tests wherever applicable. Categorical variables are shown as percentages, and compared using the Chi-square tests. Bivariate logistics regressions were used taking age, gender, smoking, diabetes mellitus, hypertension, dyslipidemia, systolic blood pressure, heart rate, creatinine, atrial fibrillation, prior MI, prior CABG, peripheral vascular disease, killip class, ACS type, cardiogenic shock, prior aspirin and statin independent variables to see association with in-hospital stroke, in-hospital mortality and one year mortality. Multivariate logistic regressions with forward selection were applied taking significant predictors at p < =0.10 in bivariate analysis for stroke, in-hospital and one year mortality. Unadjusted and adjusted odds ratios (OR) and 95% C.I. were calculated. P value < 0.05 (two tailed) was considered statistically significant at multivariate analysis. Only final multivariate analyses results are provided for in-hospital and one year mortality. Restricted cubic spline functions between SBP and stroke, and SBP and mortality are checked taking quartiles knots of SBP. All analyses were performed using SPSS 18.0 Statistical Package licensed by HMC, Doha, Qatar.

Results

Of 7,930 patients with ACS in the present analysis, 45.6% had STEMI and 54.4% had non-ST elevation acute coronary syndrome. Fifty-six patients (0.7%) suffered stroke during their index hospitalization. Stroke patients were more likely to present with ST-elevation myocardial infarction (STEMI) (n = 40) and less likely to present with NSTEMI (n = 10) and unstable angina (n = 6). In-hospital stroke was classified as ischemic in 29 patients (52%). Hemorrhagic stroke occurred in 19 patients (34%), while in the remaining 8 patients (14%) stroke type was not identified. (Table  1).
Table 1

Baseline demographics and clinical characteristics for patients with or without prior stroke

VariableNo stroke (n = 7,874 )Stroke (n = 56)P value
Diagnosis
 
 
 
STEMI / New or presumed LBBB
45.4%
71.4%
0.001
NSTEMI
30.2%
17.9%
 
Unstable Angina
24.4%
10.7%
 
Age in years (mean ± SD)
57 ± 12
62 ± 12
0.006
Female gender
21.2%
25%
0.5
Body mass index (kg/m2) (mean ± SD)
27 ± 5
26 ± 4
0.20
Current smokers
52.9%
51.8%
0.9
Previous angina
38.4%
45.3%
0.30
Previous MI
19.8%
20.8%
0.86
Previous PCI
9.2%
5.6%
0.35
Previous CABG
4.3%
3.6%
0.8
Diabetes mellitus*
40.1%
43.6%
0.6
Hypertension†
47.6%
66%
0.01
Hyperlipidemia‡
37.5%
34.8%
0.001
Family history of CAD
11.7%
8.7%
0.53
Previous heart failure
6.7%
13.2%
0.06
Atrial fibrillation
2.1%
7.1%
0.008
Renal failure
4.1%
3.7%
0.89
Peripheral arterial disease
2%
4%
0.26
At presentation
Presentation >12 hours
58.4%
41.7%
0.1
Ischemic chest pain
84.3%
62.5%
0.001
Atypical chest pain
5%
3.6%
 
Dyspnea
7%
10.7%
 
Killip Class
 
 
0.001
Killip class I
77.2%
53.6%
 
Killip class II
14.4%
28.6%
 
Killip class III
5.1%
5.4%
 
Killip class IV
3.2%
12.5%
 
Heart rate (beats/min) (mean ± SD)
84 ± 20
90 ± 19
0.05
Systolic blood pressure (mm Hg) (mean ± SD)
135 ± 29
132 ± 35
0.44
Diastolic blood pressure (mm Hg) (mean ± SD)
81 ± 17
90 ± 19
0.05
GRACE risk score
 
 
 
Low
39%
20%
0.001
Intermediate
39%
36%
 
High
22%
44%
 
Medications before admission
 
 
 
Aspirin
40.5%
43.6%
0.4
Clopidogrel
12.4%
8.9%
0.4
Β-blockers
29.1%
25%
0.5
ACE inhibitors
25.6%
33.9%
0.2
Angiotensin-receptor blockers
4.7%
1.8%
0.3
HMG-CoA reductase inhibitor
31.5%
30.4%
0.9
Laboratory investigations
 
 
 
Creatinine101 ± 74140 ± 1240.03

Data are expressed as mean or as number (percentage).

* Patient had been informed of the diagnosis by a physician before admission and was undergoing treatment for type 1 or 2 diabetes.

† Systolic blood pressure >140 mm Hg, diastolic blood pressure >90 mm Hg, or current antihypertensive treatment.

ACE-inhibitors = angiotensin-converting enzyme inhibitors.

‡ Total cholesterol >6.1 mmol/L, low-density lipoprotein >4.1 mmol/L, or high-density lipoprotein <0.9 mmol/L; triglycerides >200 mg/dl; or current use of lipid-lowering agent; MI = myocardial infarction; PCI = percutaneous coronary intervention; CAD = coronary artery diseases; CABG = Coronary Artery Bypass Graft.

Baseline demographics and clinical characteristics for patients with or without prior stroke Data are expressed as mean or as number (percentage). * Patient had been informed of the diagnosis by a physician before admission and was undergoing treatment for type 1 or 2 diabetes. † Systolic blood pressure >140 mm Hg, diastolic blood pressure >90 mm Hg, or current antihypertensive treatment. ACE-inhibitors = angiotensin-converting enzyme inhibitors. ‡ Total cholesterol >6.1 mmol/L, low-density lipoprotein >4.1 mmol/L, or high-density lipoprotein <0.9 mmol/L; triglycerides >200 mg/dl; or current use of lipid-lowering agent; MI = myocardial infarction; PCI = percutaneous coronary intervention; CAD = coronary artery diseases; CABG = Coronary Artery Bypass Graft. Patients who suffered in-hospital stroke were about 5 years older than patients without stroke (62 ± 12 vs. 57 ± 12, P =0.006). Stroke patients were less likely to have dyslipidemia (34.8% vs. 37.5%, P = 0.001) but were more likely to have hypertension (66% vs. 47.6%, P = 0.01) and atrial fibrillation (7.1% vs. 2.1%, P = 0.008). Stroke patients were more likely and to present with atypical cardiac symptoms , advanced Killip class II-IV (P = 0.001), higher heart rate (90 vs. 84 beat per minute, P = 0.05), diastolic blood pressure (90 ± 19 vs. 81 ± 17 mmHg; P = 0.05) and GRACE risk scoring. There were no significant differences between the two groups in regards to the prevalence of diabetes mellitus, smoking, previous cardiovascular disease, renal failure, peripheral arterial disease or systolic blood pressure. Prior aspirin, clopidogrel, Β-blockers, vasodilators and statins were comparable between the 2 groups. Serum creatinine was significantly elevated among stroke when compared to non-stroke patients. (Table  2).
Table 2

In-hospital therapy and at discharge in patients with or without stroke

 During admission
At discharge
No stroke
Stroke
P valueNo stroke
Stroke
P value
(n = 7,874)(n = 56)(n = 78744)(n = 56)
Coronary angiography
32.6%
12.5%*
0.002
 
 
 
Percutaneous coronary intervention
14.5%
5.4%
0.08
 
 
 
Elective
10.2%
1.8%
0.42
 
 
 
Urgent/Emergency PCI (UA/NSTEMI)
4.2%
3.6%
 
 
 
 
Aspirin
98%
91%
0.001
93%
57%
0.001
β blockers
75%
46%
0.001
80%
38%
0.001
Clopidogrel
76%
55%
0.001
68%
38%
0.001
ACE inhibitors
25.6%
33.9%
0.16
72%
47%
0.001
Angiotensin receptor blockers
4.7%
1.8%
0.30
6.8%
1.8%
0.1
HMG-CoA reductase inhibitor
95%
89%
0.06
92%
58%
0.001
GPIIb/IIa inhibitors
7.8%
3.6%
0.25
 
 
 
Thrombolytic therapy
 
 
 
 
 
 
t-PA
3%
13%
0.09
 
 
 
Streoptkinase
42%
40%
 
 
 
 
Reteplase
44%
47%
 
 
 
 
Tenektopase
11%
0%
 
 
 
 
Unfractionated heparin
49.5%
33.9%
0.02
 
 
 
LMWH (enoxaparin)39.1%21.4%0.02   

Data are expressed as percentage; STEMI = ST elevation myocardial infarction; NSTEMI = non ST elevation myocardial infarction; UA = unstable angina; LBBB = left bundle branch block; PCI = percutaneous coronary intervention; LVEF = left ventricular ejection fraction.

In-hospital therapy and at discharge in patients with or without stroke Data are expressed as percentage; STEMI = ST elevation myocardial infarction; NSTEMI = non ST elevation myocardial infarction; UA = unstable angina; LBBB = left bundle branch block; PCI = percutaneous coronary intervention; LVEF = left ventricular ejection fraction. The treatment patterns for patients with stroke are presented in Table  2. Stroke patients were less likely to be treated with aspirin, clopidogrel, unfractionated heparin, low molecular weight heparin, glycoprotein IIb/IIIa inhibitors or thrombolytic therapy. Overall use of coronary angiography was low in our registry and its use was even lower among patients who had stroke (12.5% vs. 32.6%). Similar results were found in elective (1.8% vs. 10.2%) and emergency (3.6% vs. 4.2%) percutaneous coronary interventions (PCI). Stroke patients who were discharged alive were less likely to be prescribed aspirin, clopidogrel, Β-blockers, ACE inhibitors and statins at discharge. (Table  3, Figure  1).
Table 3

In-hospital and one-year outcomes of patients with or without stroke ACS patients

VariableNo stroke (n = 7,874 )Stroke (n = 56)P value
Hospital outcome
 
 
 
Recurrent ischemia
15%
32%
0.001
Reinfarction
2%
10.7%
0.001
Congestive heart failure
12.9%
39.3%
0.001
Cardiogenic shock
34%
5.6%
0.001
Major bleeding
0.5%
12.5%
0.001
Predischarge echocardiogram (LVEF < 30)
76.5%
71.4%
0.37
Hospital stay (days)
5.9 ± 6
13.45 ± 14
0.001
Mortality
 
 
 
In-hospital
4.3%
39.3%
0.001
30 day
7.9%
46.3%
0.001
One year12.3%52%0.001

Data are expressed as percentage; STEMI = ST elevation myocardial infarction; NSTEMI = non-ST elevation myocardial infarction; UA = unstable angina; LBBB = left bundle branch block; PCI = percutaneous coronary intervention; LVEF = left ventricular ejection fraction.

Figure 1

In-hospital, one month and one year mortality rate according to the presence and absence of stroke among acute coronary syndrome patients.

In-hospital and one-year outcomes of patients with or without stroke ACS patients Data are expressed as percentage; STEMI = ST elevation myocardial infarction; NSTEMI = non-ST elevation myocardial infarction; UA = unstable angina; LBBB = left bundle branch block; PCI = percutaneous coronary intervention; LVEF = left ventricular ejection fraction. In-hospital, one month and one year mortality rate according to the presence and absence of stroke among acute coronary syndrome patients. Patients who suffered in-hospital stroke were more likely to have their hospital course complicated with recurrent myocardial ischemia (32% vs. 15%), recurrent myocardial infarction (10.7% vs. 2%), cardiogenic shock (34% vs. 5.6%) and major bleeding (12.5% vs. 0.5%) compared to those without stroke. Death occurred in 39.3% of patients who suffered in-hospital stroke compared to 4.3% of those who did not. Length of stay was significantly longer among stroke compared to non-stroke patients (13.5 vs. 5.9 days; P = 0.001). The mortality rate at one month (46.3% vs. 7.9%; P = 0.001) and one year (52% vs. 12.3%; P = 0.001) were significantly higher among stroke patients when compared to non-stroke patients. (Table  4).
Table 4

Clinical Characteristics and therapy according to stroke subtypes

 IschemicHemorrhagicNot identifiedP-value
No (%)
29(52%)
19 (34%)
8(14%)
 
Age
60.5 ± 12
60 ± 11
67 ± 15
0.41
Gender Female
10(34.5)
2(10.5)
2(25)
0.17
Diabetes Mellitus
16(52.2)
7(36.8)
1(12.5)
0.08
Hypertension
20(69)
9(47.4)
6(75)
0.23
Atrial fibrillation
4(13.8)
0(0)
0(0)
0.14
Heart rate
92 ± 19
89.9 ± 15
83 ± 30
0.54
Systolic blood pressure
132 ± 30
139 ± 35
116 ± 50
0.29
Diastolic blood pressure
76 ± 24
84 ± 19
68 ± 32
0.28
STEMI
20(69)
16(84.2)
4(50)
 
NSTEMI
6(20.7)
1(5.3)
3(37.5)
 
UA
3(0.3)
2(10.5)
1(12.5)
0.34
Coronary Angiogram
5(17.2)
1(5.3)
1(12.5)
0.30
PCI
2(6.9)
1(5.3)
0(0)
0.47
Medications on admission
 
 
 
 
Thrombolytic therapy
10(52.6)
5(31.2)
0(0)
0.11
Glycoprotein IIb/III inhibitors
12(41.4)
7(36.8)
6(75)
0.17
aspirin
26(89.7)
17(89.5)
8(100)
0.63
Clopidogrel15(51.7)6(31.6)4(50)0.37
Clinical Characteristics and therapy according to stroke subtypes Subset analysis revealed no significant differences between the 3 stroke subtypes in regards to baseline clinical characteristics, MI types or therapies, although there was a trend of increased hemorrhagic stroke among patients treated with thrombolytic therapy. (Table  5).
Table 5

Bivariate and multivariate logistic regression with forward selection for in-hospital stroke patients with acute coronary syndrome

VariablesUnadjusted OR95% C.I.Adjusted OR95% C.I.
Age
1.03
1.01 – 1.05
--
--
Gender Female
1.24
0.67 – 2.27
--
--
Smoking
0.78
0.44 – 1.39
--
--
Diabetes mellitus
1.16
0.68 – 1.97
--
--
Hypertension
1.87
1.09 – 3.22
2.75
1.50 – 5.26
Dyslipidemia
0.89
0.50 – 1.6
--
--
Systolic Blood Pressure
 
 
 
 
<=120 mmgh
1
 
 
 
121-150 mmgh
1.22
0.66 – 2.26
--
--
> = 151 mmgh
1.09
0.54 – 2.22
--
--
Heart rate (beets /minute)
1.01
1.00 – 1.02
--
--
Creatinine (mg/dl)
1.06
0.69 – 0.84
--
--
Atrial Fibrillation
3.70
1.30 – 10.0
--
--
Prior MI
1.06
0.50 – 2.01
--
--
Prior CABG
0.83
0.20 – 3.40
--
--
Peripheral Vascular Disease
2.00
0.50 – 8.00
--
--
Killip Class > 1
2.95
1.73 – 5.00
1.90
1.03 – 3.50
ACS type Stemi/LBBB
3.00
1.68 – 5.38
2.94
1.56 – 5.52
Cardiogenic Shock
9.15
5.19 – 16.12
5.72
2.96 – 11.04
Prior Aspirin
1.30
0.78 – 2.28
--
--
Statin within 24 hrs0.500.20 – 1.07----
Bivariate and multivariate logistic regression with forward selection for in-hospital stroke patients with acute coronary syndrome Bivariate results showed age (OR = 1.03, 95% C.I.:1.01-1.05); hypertension (OR = 1.87, 95% C.I.: 1.09-3.22); Atrial fibrillation (OR = 3.70, 95% C.I.:1.30-10.0); advanced killip class >1 (OR = 2.95, 95% C.I.: 1.73-5.0); ACS type STEMI (OR = 3, 95% C.I.: 1.68-5.38); and cardiogenic shock (OR = 9.15, 95% C.I: 5.19-16.12) significant variables whereas; advanced killip class, history of hypertension, STEMI and cardiogenic shock were found associated with increased risk of in-hospital stroke in multivariate analysis. (Table  6).
Table 6

Predictors of in-hospital mortality in ACS patients according to Multivariate logistic regression with forward selection

VariablesIn-hospital mortality
Adjusted OR95% C.I.
Creatinine (mg/dl)
1.47
1.27 – 1.70
Cardiogenic Shock
85.48
34.5 – 212.0
Stroke41.754.09 – 426.7
Predictors of in-hospital mortality in ACS patients according to Multivariate logistic regression with forward selection All Independent Variables having p < =0.10 at bivariate analysis for in-hospital mortality were considered for multivariate analysis. In-hospital stroke was found independently associated with a significantly higher risk of in-hospital death. The odds of mortality was 42 times higher with 95% C.I. (4.09 – 426.7) in patients with stroke compared to those without stroke. (Table  7).
Table 7

Predictors of one year mortality according to Multivariate logistic regression with forward selection in ACS patients

VariablesOne year mortality
Adjusted OR95% C.I.
Age
1.03
1.01 – 1.05
Diabetes Mellitus
1.64
1.05 – 2.56
Creatinine (mg/dl)
1.50
1.25 – 1.82
Atrial Fibrillation
5.01
1.09 – 23.1
Killip Class >1
1.97
1.22 – 3.18
Cardiogenic Shock
8.08
4.09 – 15.9
Stroke12.531.91 – 81.9
Predictors of one year mortality according to Multivariate logistic regression with forward selection in ACS patients At one year also stroke was found independently associated with a significantly higher risk of mortality having OR = 13.0 and 95% C.I (1.91-81.9) in stroke patients in comparison to non-stroke.

Discussion

The current study reports low prevalence of stroke among Middle Eastern patients presenting with ACS. 52% of these strokes were ischemic in origin and 14% were hemorrhagic. Risk factors of stroke were older age, STEMI presentation, atrial fibrillation and history of hypertension. Stroke patients were less likely to be appropriately treated with evidence-based therapy during hospitalization and at discharge. Although the prevalence of stroke was low and comparable to that of reported registries in Western countries, the consequences among stroke patients were dismal with 46% in-hospital mortality and 52% one-year mortality rates. The reported prevalence of stroke from studies performed mainly in the Western world varied between as low as 0.31% to 1.9% [9-30]. The advent of thrombolysis and primary PCI undoubtedly resulted in significant reduction in stroke risk from 5% in the 1970s to 1% in the current era. The current study reports 0.7% stroke prevalence among Middle Eastern patients presenting with ACS patients in the current era which consistent with previous reports. On the other hand, Ng et al. [19] reported a 7.2% one-year risk of stroke among small population of Chinese MI patients, which is much higher than other reports including ours from a previous registry [7]. When compared to the current study, stroke patients in the National Registry of Myocardial Infarction (NRMI) 3&4 and the Wercester Heart Attack Study were significantly older (>10 yrs) and less likely to have diabetes mellitus [3,17]. Also, while thrombolysis is the main modality of reperfusion therapy in the current registry, significantly more patients received primary PCI in the other studies. The current study suggests that the reduction in stroke risk most likely related to the overall improvement in health care including the provision of evidence-based therapy regardless of the primary reperfusion therapy. Older age, systemic hypertension, dyslipidemia and ST-elevation myocardial infarction were independent risk factors of stroke in our registry. This is consistent with some of the previous reports. Other independent risk factors previously reported in other reports include prior or in-hospital CABG, renal impairment, low body weight and elevated admission heart rate [11-32]. These variability in findings may be attributed to several factors including patients’ population, ethnicities, use of thrombolytic therapy versus primary percuatenous revascularization therapy and underscore the need of further international studies that include adequate representations of female gender and various ethnicities [33]. There were no significant differences between patients according to their stroke subtypes in regards to clinical characterstics, MI types or therapies although there a trend of higher use of thrombolytic therapy among hemorrhagic stroke patients. We observed 39.3% in-hospital mortality among stroke patients, which is almost 10 times higher than ACS who did not develop stroke. This suggests that although therapeutic advancement in the management of ACS patients has resulted in remarkable improvement in outcome, this improvement in outcome unfortunately was not observed among stroke patients, this underscores the urgent need to study ways to improve this outcome. This is consistent with pervious reports from the developed world, which observed a mortality rate from ischemic stroke of up to 10-40%, and even higher with hemorrhagic stroke. Stroke patients among our patients population were less likely to be treated with evidence-based therapy at admission and on discharge, which may contribute to the high mortality rate at one-year follow-up. These observations are consistent with that reported by Lee TC et al. [33].

Limitations

Our data were collected from an observational study. The fundamental limitations of observational studies cannot be eliminated because of the nonrandomized nature and unmeasured confounding factors. However, well-designed observational studies provide valid results and do not systemically overestimate the results compared with the results of randomized controlled trials. We did not look for risk factors by day of onset. Stroke occurring within first few days may be different from those occurring a week or two later.

Conclusion

The current study reports low prevalence of stroke among Middle Eastern ACS patients with very high in-hospital mortality rate. While older age, anterior MI, hypertension and dyslipidemia at admission were associated with increased risk. Future work should be focused on reducing the risk and outcome of this devastating complication.

Abbreviations

ACS: Acute coronary syndrome; Gulf RACE: Gulf Registry of Acute Coronary Syndrome; GRACE: Global Registry of Acute Coronary Events; STEMI: ST elevation myocardial infarction; NSTEMI: Non-ST elevation myocardial infarction; CRF: Case report form; ACE inhibitors: Angiotensin converting enzyme inhibitors; PCI: Percutaneous coronary intervention; CABG: Coronary artery bypass grafting; NRMI: National Registry of Myocardial Infarction.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

JA, KA, NA- participated in the design of the study, patients’ recruitment, writing, analyzing and reviewing the paper. RS- performed the statistical analysis. AH, HAF, SAS, WA, HA, JAL, NQA, AAA All-participated in the patients recruitement, analyzing and reviewing the manuscript. All authors read and approved the final manuscript.

Funding

Gulf RACE is a Gulf Heart Association (GHA) project and was financially supported by Sanofi Aventis, the GHA, Medical Research Center, Hamad Medical Corporation and the College of Medicine Research Center at King Khalid University Hospital, King Saud University, Riyadh, Saudi Arabia. The sponsors had no role in study design, data collection, data analysis, writing of the report, or submission of the manuscript. The study obtained ethical approvals prior to the study.

Pre-publication history

The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2261/12/64/prepub
  33 in total

1.  Risk of stroke after acute myocardial infarction among Chinese.

Authors:  P W Ng; W K Chan; P K Kwan
Journal:  Chin Med J (Engl)       Date:  2001-02       Impact factor: 2.628

2.  The risk of stroke in patients with acute myocardial infarction after thrombolytic and antithrombotic treatment. Gruppo Italiano per lo Studio della Sopravvivenza nell'Infarto Miocardico II (GISSI-2), and The International Study Group.

Authors:  A P Maggioni; M G Franzosi; E Santoro; H White; F Van de Werf; G Tognoni
Journal:  N Engl J Med       Date:  1992-07-02       Impact factor: 91.245

3.  Risk and predictors of stroke after myocardial infarction among the elderly: results from the Cooperative Cardiovascular Project.

Authors:  Judith H Lichtman; Harlan M Krumholz; Yun Wang; Martha J Radford; Lawrence M Brass
Journal:  Circulation       Date:  2002-03-05       Impact factor: 29.690

4.  Cerebrovascular accidents in acute myocardial infarction.

Authors:  M Puletti; C Morocutti; M Tronca; F Fattapposta; C Borgia; M Curione; E Cusmano
Journal:  Ital J Neurol Sci       Date:  1987-06

5.  Trends (1986 to 1999) in the incidence and outcomes of in-hospital stroke complicating acute myocardial infarction (The Worcester Heart Attack Study).

Authors:  Frederick A Spencer; Joel M Gore; Jorge Yarzebski; Darleen Lessard; Elizabeth A Jackson; Robert J Goldberg
Journal:  Am J Cardiol       Date:  2003-08-15       Impact factor: 2.778

6.  The association of stroke and coronary heart disease: a population study.

Authors:  D D Dexter; J P Whisnant; D C Connolly; W M O'Fallon
Journal:  Mayo Clin Proc       Date:  1987-12       Impact factor: 7.616

7.  Myocardial infarction, thrombolytic therapy, and stroke. A community-based study. The MITI Project Group.

Authors:  W T Longstreth; P E Litwin; W D Weaver
Journal:  Stroke       Date:  1993-04       Impact factor: 7.914

8.  Cerebrovascular accident complicating acute myocardial infarction: incidence, clinical significance and short- and long-term mortality rates. The SPRINT Study Group.

Authors:  S Behar; D Tanne; E Abinader; J Agmon; J Barzilai; Y Friedman; E Kaplinsky; N Kauli; Y Kishon; A Palant
Journal:  Am J Med       Date:  1991-07       Impact factor: 4.965

9.  Prognostic implications of abnormalities in renal function in patients with acute coronary syndromes.

Authors:  Jassim Al Suwaidi; Donal N Reddan; Kathryn Williams; Karen S Pieper; Robert A Harrington; Robert M Califf; Christopher B Granger; E Magnus Ohman; David R Holmes
Journal:  Circulation       Date:  2002-08-20       Impact factor: 29.690

10.  Myocardial infarction and stroke.

Authors:  M S Komrad; C E Coffey; K S Coffey; R McKinnis; E W Massey; R M Califf
Journal:  Neurology       Date:  1984-11       Impact factor: 9.910

View more
  6 in total

Review 1.  Stroke Complicating Acute ST Elevation Myocardial Infarction-Current Concepts.

Authors:  Monika Bhandari; Pravesh Vishwakarma; Rishi Sethi; Akshyaya Pradhan
Journal:  Int J Angiol       Date:  2019-09-20

2.  Clinical characteristics, precipitating factors, management and outcome of patients with prior stroke hospitalised with heart failure: an observational report from the Middle East.

Authors:  Hadi A R Khafaji; Kadhim Sulaiman; Rajvir Singh; Khalid F AlHabib; Nidal Asaad; Alawi Alsheikh-Ali; Mohammed Al-Jarallah; Bassam Bulbanat; Wael AlMahmeed; Mustafa Ridha; Nooshin Bazargani; Haitham Amin; Ahmed Al-Motarreb; Hussam AlFaleh; Abdelfatah Elasfar; Prashanth Panduranga; Jassim Al Suwaidi
Journal:  BMJ Open       Date:  2015-04-23       Impact factor: 2.692

Review 3.  Primary coronary angioplasty for ST-Elevation Myocardial Infarction in Qatar: First nationwide program.

Authors:  Abdurrazzak Gehani; Jassim Al Suwaidi; Salah Arafa; Omer Tamimi; Awad Alqahtani; Abdulrahman Al-Nabti; Abdulrahman Arabi; Tarek Aboughazala; Robert O Bonow; Magdi Yacoub
Journal:  Glob Cardiol Sci Pract       Date:  2013-11-01

4.  Reality of obesity paradox: Results of percutaneous coronary intervention in Middle Eastern patients.

Authors:  Mohamad Jarrah; Ayman J Hammoudeh; Yousef Khader; Ramzi Tabbalat; Eyas Al-Mousa; Osama Okkeh; Imad A Alhaddad; Loai Issa Tawalbeh; Issa M Hweidi
Journal:  J Int Med Res       Date:  2018-02-22       Impact factor: 1.671

5.  Self-reported sleep quality and depression in post myocardial infarction patients attending cardiology outpatient clinics in Oman.

Authors:  Rashid Said Saif Almamari; Joshua Kanaabi Muliira; Eilean Rathinasamy Lazarus
Journal:  Int J Nurs Sci       Date:  2019-06-21

6.  Increase in ticagrelor use over time is associated with lower rates of ischemic stroke following myocardial infarction.

Authors:  Robin Henriksson; Anders Ulvenstam; Lars Söderström; Thomas Mooe
Journal:  BMC Cardiovasc Disord       Date:  2019-03-04       Impact factor: 2.298

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.