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BMJ Global Health logoLink to BMJ Global Health
. 2019 Jan 5;4(1):e001278. doi: 10.1136/bmjgh-2018-001278

Association between education and major adverse cardiac events among patients with acute coronary syndrome in the Arabian Gulf

Ibrahim Al-Zakwani 1,, Ruth M Mabry 2, Mohammad Zubaid 3, Alawi A Alsheikh-Ali 4, Wael Almahmeed 5, Abdullah Shehab 6, Wafa Rashed 7
PMCID: PMC6326284  PMID: 30687526

Abstract

Introduction

The objective of this study was to evaluate the association between education and major adverse cardiac events in patients with acute coronary syndrome (ACS) in the Arabian Gulf.

Methods

Data were analysed from 3874 consecutive patients diagnosed with ACS admitted to 29 hospitals in four Arabian Gulf countries from January 2012 to January 2013. Education was defined as any type of formal training from primary school and above. MACE included stroke/transient ischaemic attack (TIA), myocardial infarction (MI), all-cause mortality and readmissions for cardiac reasons.

Results

The overall mean age was 60±13 years and 67% (n=2579) were men. A total of 53% (n=2039) of the patients had some form of school education. Adjusting for demographic and clinical characteristics as well as socioeconomic measures (insurance type and employment), at 12-month follow-up, educated patients were significantly less likely to have had MACE (adjusted OR (aOR): 0.55; 95% CI 0.44 to 0.68; p<0.001) than those with no formal education. The lower rate of events was also consistent across all MACE components: stroke/TIA (aOR: 0.56; 95% CI 0.33 to 0.94; p=0.030), MI (aOR: 0.58; 95% CI 0.38 to 0.86; p=0.008), all-cause mortality (aOR: 0.58; 95% CI 0.39 to 0.87; p=0.009) and readmissions for cardiac reasons (aOR: 0.61; 95% CI 0.48 to 0.77; p<0.001). MACE outcomes were consistent across men and women and across countries.

Conclusions

Education was associated with lower MACE events in patients with ACS in the Arabian Gulf. Interventions promoting healthy lifestyles and management of clinical risk factors for patients with low health literacy are urgently required.

Keywords: education, acute coronary syndrome, stroke, transient ischemic attack, myocardial infarction, mortality, patient readmission, arabs, middle east


Key questions.

What is already known?

  • Most of the patients with acute coronary syndrome (ACS) in the West are literate.

  • Education has been inversely associated with major adverse cardiac events (MACEs) in patients with ACS in the West.

What are the new findings?

  • Compared with their illiterate counterparts, literate Arabian Gulf patients with ACS were associated with fewer MACEs, namely: stroke/transient ischaemic attack, myocardial infarction, mortality and readmissions for cardiac reasons.

  • All patients in the Arabian Gulf received free universal health insurance including free medications.

What do the new findings imply?

  • Interventions promoting healthy lifestyles and management of clinical riskfactors for patients with low health literacy are urgently required.

Introduction

Cardiovascular diseases (CVDs) are one of the leading causes of death and disability in the Arabian Gulf and worldwide despite remarkable advances in their management.1–4 An inverse association between measures of socioeconomic status, like educational attainment, and CVDs has been known for decades.5 6 Education has been associated with significantly lower cardiovascular events (ie, cardiovascular mortality, coronary heart disease (CHD), myocardial infarction (MI) and stroke) in various regions of the world including USA, Europe, Australia, New Zealand, China and Asia Pacific.5–10 Although, most of these studies were done in the West, it is likely that the positive association of education is universal. Also, it is possible that economic inequality within a country may magnify the disparity in cardiovascular outcomes between the least and highest educated groups.11

However, similar studies on the association of education with major adverse cardiac events (MACEs) in the Arabian Gulf are scarce. The effect of potentially modifiable risk factors associated with myocardial infarction (INTERHEART) study evaluated the effect of education on the risk of developing first non-fatal MI, while Doulah et al only looked at the association between education and severity of coronary artery disease (CAD) in patients undergoing coronary angiography.12 13 Furthermore, access to healthcare, a concern raised in studies regarding socioeconomic associations with CVD,7 9 11 is unlikely to have limited effect given the high universal health coverage in the Arabian Gulf.14Hence, the aim of this study was to evaluate the potential association of education with MACE in patients with acute coronary syndrome (ACS) in the Arabian Gulf, using the Gulf COAST dataset, a prospective, multicentre, multinational registry of consecutive Gulf citizens hospitalised with ACS in four Arabian Gulf countries.15

Methods

The methods of the Gulf COAST registry have been previously reported.15 In summary, the Gulf COAST registry was a prospective, multicentre, multinational, longitudinal, cohort study of consecutive citizens with a diagnosis of ACS, from four Arabian Gulf countries (Bahrain, Kuwait, Oman and United Arab Emirates) and admitted to 29 hospitals between January 2012 and January 2013. The registry enrolled patients≥18 years of age and diagnosed according to the American College of Cardiology clinical data standards.16 Only those that were able to provide informed consent were included into the study.

Education was defined as any formal education from primary school and above. MACE included stroke/transient ischaemic attack (TIA), MI, all-cause mortality and readmissions for cardiac reasons.

Data collected included patient demographics (age, gender, employment status, marital status, health insurance, body mass index and tobacco and alcohol use), medical history and risk factors related to MACE, prior medication use, laboratory data, clinical presentation and management during hospital stay including medications, reperfusion therapy and procedures and discharge medications. Follow-up was performed at 1 month, 6 months and 12 months from the date of enrolment and was carried out by clinic visits or telephone interviews.

Statistical analysis

For categorical variables, frequencies and percentages were reported. Differences between educated and non-educated groups were analysed using Pearson’s χ2 tests (or Fisher’s exact tests for cells <5). Mean and SD were used to summarise the data for continuous variables and analyses performed using Student’s t-test. The relationships between education (yes/no) and MACE (stroke/TIA, MI, all-cause mortality, readmissions for cardiac reasons and overall MACE) were evaluated using multiple logistic regression using the simultaneous method and adjusting for Global Registry of Acute Coronary Events (GRACE) risk score for in-hospital mortality, which has been validated in an Arabian Gulf ACS Registry.17 Apart from from GRACE risk score, the logistic models were also adjusted for gender, employment status, marital status, insurance type, demographic and clinical characteristics. Interaction terms between education and employment status as well as between education and gender were also tested.

The goodness-of-fit of the multivariable logistic models was examined using the Hosmer-Lemeshow goodness-of-fit statistic18 as well as the C-index.19 An a priori two-tailed level of significance was set at the 0.05 level. Statistical analyses were conducted using STATA V.13.1.

Results

The Gulf COAST registry enrolled 4044 patients. The present analysis included only patients who were discharged alive from the index admission (n=3784). The overall mean age of the cohort was 60±13 years, of which 67% (n=2579) were males. A total of 29% of the patients were employed (n=1117) and 85% (n=3281) were married. Forty per cent of the patients (n=1537) were current or prior smokers, and 3.1% (n=121) of the patients were alcohol consumers. Comorbid conditions were common in this cohort particularly hypertension (n=2510; 65%), dyslipidaemia (n=2189; 57%) and diabetes mellitus (n=2071; 53%).

A total of 53% (n=2039) of the patients had any formal education (24% had below secondary school (high school), 16% had completed secondary school (high school), 4.2% had some sort of vocational training, 6.4% graduated from college while 1.7% had postgraduate training). Those with formal education (compared with those that were illiterate) were younger (54 years vs 66 years; p<0.001) and more likely to be male (82 vs 49%; p<0.001), employed (49% vs 6.2%; p<0.001), married (91% vs 77%; p<0.001), current or prior smoker (54% vs 23%; p<0.001) and alcohol consumers (4.6% vs 1.5%; p<0.001) but less likely to have a prior MI (24% vs 29%; p=0.001), hypertension (57% vs 73%; p<0.001), diabetes mellitus (50% vs 57%; p<0.001) and prior stroke/TIA (4.7% vs 9.3%; p<0.001) than those without formal education. Educated patients were also more likely to present with a lower heart rate (84 vs 86 beats/min; p<0.001), systolic blood pressure (141 vs 144 mm Hg; p<0.001), serum creatinine (81 vs 84 µmol/L; p<0.001) and GRACE risk score (114 vs 139; p<0.001), and had higher left ventricular ejection fraction (50% vs 48%; p<0.001). They were also less likely to present with a high Killip class (p<0.001) (table 1).

Table 1.

Demographic and clinical characteristics of patients with acute coronary syndrome in the Arabian Gulf stratified by education status: findings from Gulf Coast registry

Characteristic, n (%) unless specified otherwise All
(N=3874)
Educated P value
No
(n=1835)
Yes
(n=2039)
Demographic
 Age, mean±SD, years 60±13 66±10 54±12 <0.001
 Male gender 2579 (67) 898 (49) 1681 (82) <0.001
 Employed 1117 (29) 114 (6.2) 1003 (49) <0.001
 Married 3281 (85) 1418 (77) 1863 (91) <0.001
 BMI, mean±SD, kg/m2 29.1±9.0 28.7±9.6 29.5±8.4 0.005
 Smoking (current or prior) 1537 (40) 430 (23) 1107 (54) <0.001
 Alcohol 121 (3.1) 28 (1.5) 93 (4.6) <0.001
Medical history
 Prior MI 1007 (26) 523 (29) 484 (24) 0.001
 Dyslipidaemia 2189 (57) 1057 (58) 1132 (56) 0.191
 Premature CAD 597 (15) 147 (8.0) 450 (22) <0.001
 Hypertension 2510 (65) 1344 (73) 1166 (57) <0.001
 Diabetes mellitus 2071 (53) 1051 (57) 1020 (50) <0.001
 Stroke/TIA 266 (6.9) 171 (9.3) 95 (4.7) <0.001
Clinical (parameters) at presentation
 HR, mean±SD, bpm 85±21 86±21 84±20 <0.001
 SBP, mean±SD, mm Hg 142±27 144±27 141±27 <0.001
 DBP, mean±SD, mm Hg 81±16 80±16 82±16 <0.001
 Crea, p50 (IQR), µmol/L 82 (66–104) 84 (66–114) 81 (68–98) <0.001
 LVEF, mean±SD, % 49±13 48±13 50±13 <0.001
 GRACE risk, mean±SD 126±40 139±39 114±37 <0.001
Killip class <0.001
 I: no heart failure 3099 (80) 1340 (73) 1759 (86)
 II: rales 493 (13) 307 (17) 186 (9.1)
 III: pulmonary oedema 260 (6.7) 174 (9.5) 86 (4.2)
 IV: cardiogenic shock 22 (0.6) 14 (0.8) 8 (0.4)
Discharged diagnosis <0.001
 LBBB MI 30 (0.8) 20 (1.1) 10 (0.5)
 NSTEMI 1820 (47) 1022 (56) 798 (39)
 STEMI 928 (24) 341 (19) 587 (29)
 Unstable angina 1094 (28) 452 (25) 642 (32)

BMI was missing in 35 subjects, HR in 2 subjects, SBP in 3 subjects, DBP in 3 subjects, creatinine in 19 subjects, LVEF was missing in 1335 subjects, GRACE in 21 subjects and 2 subjects in discharged diagnosis.

Percentages might not add up to 100% due to rounding off.

BMI, body mass index; CAD, coronary artery disease; Crea, first serum creatinine; DBP, diastolic blood pressure; HR, heart rate; LBBB, left bundle branch block; LVEF, left ventricular ejection fraction; LBBB MI, myocardial infarction; NSTEMI, non-ST myocardial infarction; SBP, systolic blood pressure; STEMI, ST myocardial infarction; TIA, transient ischaemic attack; bpm, beats per minute; p50, median.

Table 2 shows medication utilisation prior to admission and postdischarge stratified by education status. While 98% (n=3623) of the cohort was treated optimally with the dual antiplatelet combination (aspirin and clopidogrel concurrently), only 52% (n=1922) of the patients were prescribed the five-drug regimen (aspirin, clopidogrel, ACE inhibitor/angiotensin receptor blocker (ARB), statin and beta blocker) concurrently, which was significantly higher among educated participants in contrast to their illiterate counterparts (59% vs 45%; p<0.001).

Table 2.

Medication utilisation of the patients with acute coronary syndrome in the Arabian Gulf stratified by education status: findings from Gulf Coast registry

Characteristic, n (%) unless specified otherwise All
(N=3874)
Educated P value
No (n=1835) Yes (n=2039)
Prior medications (N=2878)
 Aspirin 2288 (80) 1247 (83) 1041 (76) <0.001
 Clopidogrel 834 (29) 451 (30) 383 (28) 0.212
 ACEIs 1490 (52) 833 (55) 657 (48) <0.001
 ARBs 557 (19) 267 (18) 290 (21) 0.023
 Beta blockers 1755 (61) 935 (62) 820 (60) 0.172
 Statins 2319 (81) 1240 (82) 1079 (79) 0.008
 Other LLDs 60 (2.1) 14 (0.9) 46 (3.4) <0.001
 Oral nitrates 995 (35) 633 (42) 362 (26) <0.001
 CCBs 578 (20) 300 (20) 278 (20) 0.848
Discharged medications (N=3681)†
 Aspirin 3559 (97) 1682 (96) 1877 (97) 0.028
 Clopidogrel 2698 (73) 1146 (65) 1552 (80) <0.001
 ACEIs 2475 (67) 1189 (68%) 1286 (67) 0.439
 ARBs 558 (15) 269 (15) 289 (15) 0.758
 Beta blockers 3123 (85) 1426 (81) 1697 (88) <0.001
 Statins 3568 (97) 1699 (97) 1869 (97) 0.951
 Other LLDs 87 (2.4) 32 (1.8) 55 (2.9) 0.041
 Oral nitrates 2212 (60) 1197 (68) 1015 (53) <0.001
 CCBs 570 (15) 289 (17) 281 (15) 0.108
 Dual antiplatelets 3623 (98) 1726 (99) 1897 (98) 0.670
 Five-drug regimen 1922 (52) 784 (45) 1138 (59) <0.001

Percentages might not add up to 100% due to rounding off.

Dualantiplatelets, aspirin and clopidogrel concurrently; five drug regimen, concurrentprescribing of aspirin, clopidogrel, ACEI/ARB, statin, beta blocker.

*In the prior history, 996 patients had missing medications, while during †hospital discharge, 193 patients had missing medications.

ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; CCB, calcium channel blocker; LLD, lipid lowering drug.

The overall MACE rate was 32.9% (n=1276) with significant differences among the groups as shown in table 3. Adjusting for demographic and clinical characteristics as well as socioeconomic measures (insurance type, employment and marital status), at 12-month follow-up, educated patients with ACS were significantly less likely to have had MACE (adjusted OR (aOR): 0.55; 95% CI 0.44 to 0.68; p<0.001). The lower rate of events was also consistent across all MACE components: stroke/TIA (aOR: 0.56; 95% CI 0.33 to 0.94; p=0.030), MI (aOR: 0.58; 95% CI 0.38 to 0.86; p=0.008), all-cause mortality (aOR: 0.58; 95% CI 0.39 to 0.87; p=0.009) and readmissions for cardiac reasons (aOR: 0.61; 95% CI 0.48 to 0.77; p<0.001). The interaction terms between education and employment status as well as between education and gender were not significant in all the various outcome models (p>0.05 in all the logistic regressions).

Table 3.

Association between education (Edu) and major adverse cardiac events (MACEs) in patients with acute coronary syndrome in the Arabian Gulf: findings from Gulf Coast registry

Outcome Univariate statistics Multivariate logistic regression
All (N=3874), n (%) No Edu (n=1835), n (%) Edu (n=2039), n (%) P value Adjusted OR (95% CI) Adjusted P value HL ROC
Stroke/TIA
12 months 143 (3.7) 105 (5.7) 38 (1.9) <0.001 0.56 (0.33 to 0.94) 0.030 0.333 0.72
Myocardial infarction
12 months 282 (7.3) 203 (11.1) 79 (3.9) <0.001 0.58 (0.38 to 0.86) 0.008 0.264 0.75
All-cause mortality
12 months 317 (8.2) 236 (12.9) 81 (4.0) <0.001 0.58 (0.39 to 0.87) 0.009 0.791 0.79
Readmissions for cardiac reasons
12 months 990 (25.6) 572 (31.2) 418 (20.5) <0.001 0.61 (0.48 to 0.77) <0.001 0.613 0.64
MACE
12 months 1276 (32.9) 783 (42.7) 493 (24.2) <0.001 0.55 (0.44 to 0.68) <0.001 0.221 0.69

MACE included stroke/TIA, myocardial infarction, mortality and readmissions for cardiac reasons. For 6-month and 12-month follow-up, the events were cumulative.

Multivariate analyses were conducted using logistic regression models using the simultaneous method. The covariates in the models included GRACE risk score (derived from age, heart rate, systolic blood pressure, serum creatinine, cardiac arrest at admission, ST segment deviation on electrocardiogram (EKG), abnormal cardiac enzymes and Killip class) as well as gender, smoking status, marital status, employment status, body mass index, diabetes mellitus, peripheral artery disease, left ventricular ejection fraction, acute coronary syndrome type and use of evidence-based cardiac medications at hospital discharge (aspirin, clopidogrel, beta blocker, statin, ACE inhibitor (ACEI) or angiotensin receptor blocker (ARB)).

Over the 1-year follow-up period, a total of 20 patients (0.5%) were lost to follow-up.

HL, Hosmer-Lemeshow p value; ROC, area under the receiver operating curve (also known as c-statistic); TIA, transient ischaemic attack.

Discussion

The present analysis of a large, prospective, multicentre, multinational study from the Arabian Gulf demonstrated that education was associated with significantly lower risk of MACE at 1-year follow-up among patients with ACS. The apparent protective effect of education was consistent across several outcomes including stroke/TIA, recurrent MI, all-cause mortality and readmissions for cardiac reasons. The findings are even more unique given the fact that all patients had free universal access to healthcare unlike in the prior studies, which had varying degrees of access to care.

The association of education with CVD, stroke, MI and CVD risk factors is well known.5–10 Evidence demonstrates that less educated patients have increased comorbidities,20 as seen in our study. Furthermore, less educated patients are more likely to experience worse clinical presentation, less likely to receive secondary prevention therapies and attend cardiac rehabilitation.7 9 Despite patients presenting with a clinical history that portend a poor prognosis, a large Global Utilization of Streptokinase and tPA for Occluded Coronary Arteries III (GUSTO-III) study found that education was independently inversely correlated with 1-year mortality confirming findings from smaller studies.9 Our study is the first to demonstrate this association in the Arabian Gulf.

Individuals with less education also tend to have increased number of behavioural risk factors like smoking, unhealthy diet and physical inactivity. The Monitoring Project on Risk Factors and Chronic Diseases in the Netherlands (MORGEN) study found that behavioural and biological factors like smoking, obesity, physical inactivity and hypertension explained more than half of the increased risk of CHD among people with low education.21 Controlling for these risks factors has been found to attenuate but not eliminate the association of education on health and thus calls for further examination of these associations.11 Addressing these risks remains critical for primary and secondary prevention.

Our findings indicate that a significantly higher proportion of educated patients were prescribed the recommended five-drug regimen compared with their uneducated counterparts. Although all patients were provided free healthcare including medications in the Arabian Gulf, this inequity in prescribing practice is concerning and may explain, in part, the poorer outcomes for less educated groups. Studies have shown that people with lower socioeconomic levels receive inferior treatment.20 For example, a retrospective study in Taiwan found that low-income coronary artery bypass surgery was associated with poorer quality of services.22 Further research is needed to better understand the observed inequality in prescribing practices in the Arabian Gulf.

Finally, health literacy, which is strongly correlated with education, may explain the education-associated differences in the observed cardiovascular outcomes.20 Poor health literacy is associated with increased risk behaviours (ie, physical inactivity and unhealthy diet),23 decreased medications adherence24 and health interventions25 26 and poor outcomes.20 In their study on health literacy in Danish individuals with CVD, Aaby et al23 found significant positive associations between health literacy and physical activity, healthier diet and higher self-reported health status. A prospective study of patients with heart failure in the USA reported that low health literacy was associated with increased risk of hospitalisation and mortality.26 A nurse-coordinated intervention carried out in the Netherlands for patients with CAD appears to be effective among patients with poor health literacy. It involved four patient visits with a trained nurse focusing on promoting healthy lifestyles, managing biometric risk factors and increasing medication adherence and resulted in similar reductions in CVD risk profiles regardless of level of health literacy.27 This promising initiative could be adapted and tested for patients with CVD in the Arabian Gulf; this is particularly important since nearly half of the patients are illiterate.

Our study has limitations. First, due to the inherent nature of uncontrolled observational study design, its ability to assess causal relationships is limited. Second, the analysis relies only on patients admitted to the hospital with a diagnosis of ACS and hence cannot be generalised to the entire population of patients with ACS that do not end up being hospitalised. Third, the study also only analysed those patients with ACS who survived following an ACS event. Fourth, the utilisation of the five-drug regimen did not take into account the contraindications and/or side effects of any of the components of this combination. Fifth, we reported all-cause 12 month mortality where, if data were available, cardiovascular mortality would have been more pertinent.

Conclusions

To our knowledge, this is the first study from the Arabian Gulf region to demonstrate that any formal patient education was less likely to be associated with 12 months cumulative stroke/TIA, MI, all-cause mortality, readmissions for cardiac reasons and overall MACE in ACS patients compared with no education. Since a high proportion of patients with ACS have limited, if any education, interventions that promote healthy lifestyles and management of risk factors for this group are urgently required.

Footnotes

Handling editor: Seye Abimbola

Contributors: IA contributed towards literature search, data analysis and interpretation, figures and tables and writing of the manuscript. RM contributed towards literature search, interpretation and writing of the manuscript. MZ and WR contributed towards data management and oversight of the Gulf COAST registry. MZ, AAA-A, WA, AS and WR contributed towards drafting of the protocol, study design of the Gulf COAST registry, data collection and critical evaluation and interpretation of the results and the manuscript.

Funding: Gulf COAST is an investigator-initiated study that was supported by Astra Zeneca with oversight by Kuwait University (project code XX02/11).

Disclaimer: Neither Kuwait University nor AstraZeneca had any role in the study design, data collection, data analysis or writing the manuscript. The views expressed in this manuscript are those of the authors and do not necessarily reflect those of their affiliated institutions.

Competing interests: MZ and WA received speakers’ bureau from Sanofi, Boehringer Ingleheim, Amgen and Astra Zeneca. AAA-A has received honoraria related to consulting and speaker’s activities from Boehringer-Ingelheim, Bayer and Pfizer.

Patient consent: Obtained.

Ethics approval: The study was approved by the local institutional ethics committees of participating centres in the various Arabian Gulf countries.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data sharing statement: No additional data are available.

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