Abstract
Objective
To investigate whether ABO blood groups is associated with the severity of coronary artery disease (CAD).
Methods
Between January 2015 and December 2017, 1425 first diagnosed CAD patients confirmed by selective coronary angiography were recruited into this cross-sectional study, and their baseline characteristics, ABO blood groups, Gensini score were collected. Multiple linear regression analysis was performed to test the association between the severity of CAD and ABO blood groups.
Results
The Gensini score was significantly higher in the blood group A than in the non-A groups (41.2 ± 32 vs. 38 ± 27; P = 0.026). After adjusting for age, male, smoking, family history of CAD, hypertension, diabetes mellitus and hypercholesterolemia, multivariate linear regression indicated that blood group A was associated with the severity of CAD (β = 3.298, 95% CI: 0.91–6.505, P = 0.044). In diabetes group, A blood type was also associated with increased Gensini score (P = 0.02) after adjusting for age, male, family history of CAD, hypercholesterolemia, smoking and hypertension.
Conclusion
In this cross-sectional study, the data indicated that blood group A was an independent risk factor of severity of CAD in Chinese population and Chinese patients with type 2 diabetes.
Keywords: ABO blood groups, Coronary artery disease, Cross-sectional study
1. Introduction
The research on coronary artery disease (CAD) and ABO blood groups has a long history indicating that non-O blood groups have a higher risk of ischemic heart disease.[1],[2] Furthermore, the Framingham Heart study and others suggested A blood groups have increased risk of CAD and myocardial infarction (MI).[3]–[6] Other investigators reported that groups B or AB have higher incidence of CAD.[7],[8] However, some studies showed the opposite results and even identified no association between blood type and CAD.[9],[10]
Diabetes mellitus is believed to be a risk equivalent of coronary artery disease, and type 2 diabetes patients often have multiple cardiac risk factors.[11] However, whether A blood groups is an independent risk factor of the severity of CAD in diabetes is unknown.
The mechanisms to explain the relationship between ABO blood type and CAD remains ambiguous. The following biologic mechanisms have been proposed. ABO blood groups are genetically transmitted, and the ABO locus was discovered to be associated with CAD related inflammatory makers.[12] Additionally, the ATP-binding cassette2 (ABCA2) gene, which plays a role in cholesterol homeostasis, is reported to be located at the same locus of ABO.[13],[14] Interestingly, non-O groups were found to have higher cholesterol absorption rate, which was positively correlated with cardiovascular risk.[14] Plasma levels of von Willebrand factor (VWF) and coagulation factor VIII, which are positively associated with thrombosis, is indicated to be affected by ABO antigen.[15] VWF plasma levels are approximately 25% higher in non-O groups, compared with group O.[15]–[17] ABO(H) carbohydrate antigenic determinants expressing on VWF is the molecular basis of the connection between ABO blood group and VWF levels.[16],[18]
To sum up, the association between ABO groups, especially the blood group A and the severity of CAD remains controversial and was also rarely evaluated in Chinese population. We conducted this cross-sectional study to evaluate the association between ABO blood groups and the severity of CAD in angiographic CAD patients.
2. Methods
2.1. Study design and population
Our cross-sectional study complied with the Declaration of Helsinki and was approved by the hospital ethics review board (Sir run run shaw hospital, Zhejiang, China). From January 2015 to December 2017, a total of 2102 consecutive CAD patients confirmed by selective coronary angiography were evaluated. Patients with acute myocardial infarction, a history of percutaneous intervention (PCI) or coronary artery bypass surgery (CABG), active cardiopulmonary diseases, hematologic disorders, severe liver and/or renal insufficiency, thyroid dysfunction, significant infectious disease, and malignant disease were excluded. Finally, 1425 first diagnosed CAD patients were enrolled.
The baseline characteristics, including demographic, hematologic, imaging data were collected from all patients during hospitalization. The left ventricular ejection fraction (EF) was evaluated by echocardiograph. Hypertension was defined as repeated blood pressure measurements over 140/90 mmHg or currently taking antihypertensive drugs. Diabetes mellitus was defined as: (1) self-reported history of diabetes mellitus (DM) and/or (2) under current treatment of insulin or oral hypoglycemic medicine and/or (3) repeated fasting plasma glucose (FPG) ≥ 7.0 mmol/L and/or (4) glycated hemoglobin A1c (HbA1c) ≥ 6.5%. Hypercholesterolemia was defined as total cholesterol (TC) ≥ 200 mg/dL (5.2 mmol/L) or low-density lipoprotein cholesterol (LDL-C) ≥ 130 mg/dL (3.4 mmol/L). Smoking was defined as ever-smoked 100 cigarettes or currently smoking. Body mass index (BMI) was calculated by body weight (kg)/the square of his/her height (m2).
2.2. Severity of coronary atherosclerosis
CAD was defined as > 50% stenosis in at least one major coronary branch and the severity of CAD was evaluated by Gensini score (GS) system. Reduction in coronary lumen diameter of 25%, 50%, 75%, 90%, 99%, and complete occlusion were counted as 1, 2, 4, 8, 16, and 32, respectively. A multiplier was then assigned to each main vascular segment based on the functional significance: 5 for the left main coronary artery, 2.5 for the proximal segment of the left anterior descending (LAD) coronary artery, 2.5 for the proximal segment of the circumflex artery, 1.5 for the mid-segment of the LAD, 1.0 for the distal segment of the LAD, mid-distal region of the circumflex artery, the obtuse marginal artery, the right coronary artery and the posterolateral artery, 0.5 for other segments. The final score was calculated by adding the scores of each segment.
2.3. Statistical analysis
SPSS V.24.0 was used for all analyses. Continuous data was presented as mean ± SD or median (inter-quartile range) as appropriate. Data would be compared by the Student's t-test when normally distributed, otherwise, by the Wilcoxon rank-sum test. Categorical data was presented as number and percentage (%) and compared by chi-square test. The multivariable linear regression analysis was performed to test the association between the severity of CAD and the following variables: age, male, smoking, family history of CAD, hypertension, diabetes mellitus and hypercholesterolemia. A value of P < 0.05 was considered statistically significant.
3. Results
3.1. Patient characteristics
The baseline characteristics of the enrolled subjects were summarized in Table 1 according to blood type. In brief, A blood groups (n = 436) had higher Gensini socre compared with the non-A groups (n = 989) (P < 0.05). There were no significant differences of other variables between the two groups (P > 0.05, respectively).
Table 1. Baseline clinical characteristics by blood type.
Variables | A group (n = 436) | Non-A group (n = 989) | P value |
Patients characteristics | |||
Gensini score | 41.2 ± 32 | 38 ± 27 | 0.026 |
Age, yrs | 65 ± 10 | 64 ± 10 | 0.888 |
Male | 323 (73.7%) | 689 (70.6%) | 0.227 |
BMI, kg/m2 | 24.6 ± 3.24 | 24.47 ± 3.29 | 0.515 |
Hypertension | 304 (69.7%) | 654 (66.1%) | 0.198 |
Hypercholesterolemia | 108 (24.7%) | 235 (23.8%) | 0.737 |
DM | 114 (26.0%) | 229 (23.2%) | 0.254 |
Smoking | 121 (27.6%) | 268 (27.1%) | 0.847 |
Family history of CAD | 42 (9.6%) | 84 (8.5%) | 0.544 |
EF | 65.5% ± 9.9% | 65.9% ± 9.2% | 0.440 |
Baseline SBP, mmHg | 134 ± 19 | 133 ± 20 | 0.320 |
Baseline DBP, mmHg | 75 ± 12 | 74 ± 12 | 0.026 |
Laboratory test | |||
Glucose, mmol/L | 6.45 ± 2.64 | 6.42 ± 2.63 | 0.843 |
WBC, 109/L | 6.58 ± 1.85 | 6.6 ± 2.03 | 0.838 |
hs-CRP | 1.8 (0.9–4.4) | 1.6 (0.6–3.9) | 0.266 |
eGFR | 85.16 ± 18.07 | 83.78 ± 18.33 | 0.191 |
Uric Acid, mmol/L | 372.80 ± 95.70 | 363.75 ± 93.97 | 0.099 |
D-dimer, mg/dL | 0.37 (0.25–0.56) | 0.36 (0.23–0.54) | 0.686 |
Fibrinogen, mg/dL | 3.55 ± 0.91 | 3.49 ± 0.91 | 0.384 |
NT-ProBNP | 98.0 (38.8–350.5) | 102.0 (39.0–295.5) | 0.438 |
PLT, 109/L | 178.18 ± 55.15 | 183.22 ± 59.5 | 0.132 |
Lipid profile | |||
Triglyceride | 1.40 (1.02–1.92) | 1.42 (1.03–2.02) | 0.971 |
TC | 4.32 ± 1.24 | 4.34 ± 1.25 | 0.805 |
LDL-C | 2.34 ± 0.92 | 2.33 ± 0.91 | 0.970 |
HDL-C | 1.03 ± 0.29 | 1.03 ± 0.28 | 0.949 |
VLDL-C | 0.67 (0.43–1.01) | 0.69 (0.46–1.01) | 0.349 |
BMI: body mass index; CAD: coronary artery disease; DBP: diastolic blood pressure; DM: diabetes mellitus; eGFR: estimated glomerular filtration rate; HDL-C: high-density lipoprotein; hs-CRP: high-sensitivity C-reactive protein; LDL-C: low density lipoprotein; PLT: platelet; SBP: systolic blood pressure; TC: total cholesterol; VLDL-C: very low density lipoprotein; WBC: white blood cell.
3.2. Association between GS and ABO blood groups
To evaluate the role of A blood groups in the presence and severity of CAD, Univariate and multivariate linear regression analysis were performed in our study. In univariate linear regression analysis, A blood type, age, male, DM were associated with increased Gensini score (P < 0.05, respectively, Table 2). After adjusting for DM, age, male, family history of CAD, A blood type (β = 3.214, 95% CI: 0.016–6.411, P = 0.049, model 4, Table 3) was significantly associated with the Gensini score. The final multiple linear regression model (adjusted for DM, age, male, family history of CAD, hypercholesterolemia, smoking, hypertension) also indicated a positive correlation between A blood type and Gensini score (P = 0.044, Table 3). In diabetes group, A blood type was also associated with increased Gensini score (P = 0.02, Table 4 & 5) after adjusting for age, male, family history of CAD, hypercholesterolemia, smoking, hypertension.
Table 2. Univariate linear regression analysis for Gensini score.
Variable | β (95%CI) | P values |
A | 3.673 (0.431 to 6.916) | 0.026 |
Age | 0.224 (0.078 to 0.371) | 0.003 |
Male | 4.024 (0.71 to 7.338) | 0.017 |
smoking | –0.21 (–3.575 to 3.154) | 0.903 |
Hypertension | 3.113 (–0.078 to 6.304) | 0.056 |
Hypercholesterolemia | –0.468 (–3.974 to 3.038) | 0.793 |
DM | 8.97 (5.494 to 12.445) | < 0.001 |
Family history of CAD | 4.579 (-0.696 to 9.855) | 0.089 |
CAD: coronary artery disease; DM: diabetes mellitus.
Table 3. Multivariate linear regression analysis for Gensini score.
Variable | β (95% CI) | P values | |||
Unadjusted | 3.673 (0.431 to 6.916) | 0.026 | |||
Model 1 | 3.419 (0.202 to 6.636) | 0.037 | |||
Model 2 | 3.439 (0.23 to 6.647) | 0.036 | |||
Model 3 | 3.3 (0.097 to 6.503) | 0.043 | |||
Model 4 | 3.214 (0.016 to 6.411) | 0.049 | |||
Model 5 | 3.298 (0.91 to 6.505) | 0.044 |
Model 1: adjusted for DM; Model 2: adjusted for DM, age; Model 3: adjusted for DM, age, male; Model 4: adjusted for DM, age, male, family history of CAD; Model 5: adjusted for DM, age, male, family history of CAD, hypercholesterolemia, smoking, hypertension. CAD: coronary artery disease; DM: diabetes mellitus.
Table 4. Univariate linear regression analysis for Gensini score in non-DM and DM patients.
Variable | Non-DM group |
DM group |
|||
β (95%CI) | P values | Β (95% CI) | P values | ||
A | 0.031 (–1.702 to 5.480) | 0.302 | 0.126 (1.386 to 15.307) | 0.019 | |
Age | 0.098 (0.095 to 0.430) | 0.002 | 0.125 (0.042 to 0.758) | 0.029 | |
Male | 0.096 (1.877 to 9.814) | 0.004 | 0.034 (–5.415 to 10.262) | 0.543 | |
Smoking | –0.019 (–5.138 to 2.794) | 0.562 | 0.041 (–5.229 to 11.221) | 0.474 | |
Hypertension | 0.062 (0.109 to 7.022 | 0.043 | –0.141 (–18.794 to 2.407) | 0.011 | |
Hypercholesterolemia | 0.052 (–0.543 to 7.159) | 0.092 | –0.081 (–14.498 to 1.970) | 0.135 | |
Family history of CAD | 0.070 (0.949 to 12.276) | 0.022 | 0.089 (–2.070 to 25.825) | 0.095 |
CAD: coronary artery disease; DM: diabetes mellitus.
Table 5. Multivariate linear regression analysis for Gensini score in non-DM and DM patients.
Variable | β (95%CI) | P values | |||
Non-DM group | 1.89 (–1.7 to 5.48) | 0.30 | |||
DM group | 8.35 (1.39 to 15.31) | 0.02 |
Adjusted for age, male, family history of CAD, hypercholesterolemia, smoking, and hypertension. CAD: coronary artery disease; DM: diabetes mellitus.
4. Discussion
Our data indicated that there was an association between A and non-A blood group with the severity of coronary atherosclerosis assessed by Gensini system. Blood A group was an independent risk factor of the severity of coronary lesion after adjusting for other cardiovascular risk factors. Moreover, analysis of diabetes patients showed that blood group A also had increased Gensini score than the non-A group. In this cross-sectional study, besides the similar exclusion criteria documented in previous studies, acute myocardial infarction patients were also excluded, since these patients may have various pathogenesis,[19] and difficult to evaluate the severity of coronary lesion using Gensini score.
Multiple factors, including hypertension, dyslipidemia, inactivity, abdominal obesity, smoking, age, gender and family history, are associated with an increased risk for coronary artery disease.[11],[20] Efforts have been made applying data from Framingham and other studies to build prediction models that identify individuals at high risk of cardiovascular events.[21],[22] Nevertheless, there remains a need to improve the ability to identify. Other risk factors are being researched. The association between ABO groups and CAD has been studied for a long time. In the last few decades, many reports showed a higher proportion of CAD patients with blood groups A, B or AB as compared with control groups.[23]–[25] The Framingham Heart Study also reported a higher incidence of non-fatal CAD in group A as compared to group O among men.[26] Medalie, et al. [27] conducted a 5-year prospective investigation which enrolled 10000 Israeli male government employees 40 years of age and over (including different races) and founded that blood group A1, B tended to have higher incidence rate of myocardial infarction and angina pectoris. Several meta-analyses were done due to heterogeneous results in different studies.[9],[10] Interestingly, all of them demonstrated that non-O blood group appears to be an independent risk factor for CAD and MI.[28]–[30] Previous studies were mainly concerned about the blood group non-O and O, ignoring the blood group A and other blood types. Additionally, in those studies, association of ABO blood group with MI was often focused on. As a matter of fact, the type A blood group with severity of CAD remain unclear and controversial.[2]–[4],[6],[7],[10] Moreover, date on ABO blood groups with coronary artery disease in Chinese population is much rarer. For diabetes, despite they are logical candidates for screening CAD, recent CAD screening studies in type 2 diabetes were unable to link the number of risk factors to inducible ischemia on perfusion imaging.[31] Thus, our study provided new evidence that blood group A may be an independent risk factor of severity of CAD in Chinese population and patients with type 2 diabetes. Our results are partially accordant with documented original observations and meta-analysis.[4],[32] We expect that, in the near future, the ABO blood group analysis could be enrolled in the diagnostic workup of every CAD patient (especially type 2 DM patient) and improve our early recognition of the severe CAD and guide our therapeutic strategies for the secondary prevention of the disease.
Severe coronary atherosclerosis usually leads to poor cardiovascular outcome, such as MI, ischemic cardiomyopathy and sudden cardiac death. The Gensini score system is a relatively easy and useful way to quantify the severity of CAD.[33] Thus, the combination of cardiovascular disease risk factors with the score system could provide the best predictive information for cardiovascular prognosis. Unfortunately, the underlying mechanism of the relationship between blood group A and CAD could not been illuminated in our study despite the various hypothesis existed.
Aside from the intrinsic limitations of an observational study, other potential limitations in our study should be noted. Firstly, the result was based on Chinese population, therefore, it should not be extended to other ethnic groups. Moreover, the clinical outcomes of patients were unavailable since our data were obtained from the hospital database.
In conclusion, our date demonstrated that A blood groups might play a potential role in the severity of coronary atherosclerosis in Chinese population and patients with type 2 diabetes. Blood group A was an independent risk factor of the severity of CAD. A prospective, multicenter cohort study is needed to validate our findings.
Acknowledgments
This work is supported by grants from Clinical Vascular Grant in Chinese Physicians—VG. The funding agency had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors have no ethical conflicts to disclose and no conflicts of interest to declare.
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