Abstract
Background:
The aim of this study was to examine relationship between the parameters of pulmonary function and the severity of coronary artery disease (CAD) in chronic obstructive lung disease patients.
Materials and Methods:
Four hundred and twenty four patients with ischemic heart diseases who underwent coronary angiography were studied. The demographic characteristics and medical history of the patients were obtained from their medical records.The severity of COPD was determined according to the Global Initiative for Chronic Obstructive Lung Disease. In addition, the severity of CAD was quantified by SYNTAX scoring.
Results:
Eighty-eight (21.2%), 270 (65.1%), 52 (12.5%), and 5 (1.2%) of the patients had the grade 1, 2, 3, or 4 COPD, respectively. In addition, 46 (11.1%), 319 (76.9%), and 50 (12.0%) of them had low, intermediate, and high CAD, respectively. A statistically significant relationship was observed between the severity of COPD and the severity of CAD. Significant relationships were found between age, sex, BMI, LDL, EF, and systolic pressure of pulmonary artery with the severity of COPD. The odds of higher CAD in females were 1.849 times higher than male patients. In addition, the odds of high CAD in the patients with grade 1 or 2 COPD were 0.006 and 0.068 times of the patients with grades 3 and 4 COPD, respectively.
Conclusions:
The findings of the present study indicate that the parameters of pulmonary function and the severity of CAD are associated with the severity of COPD.
Keywords: Coronary artery disease, COPD, Pulmonary function test, SYNTAX score
INTRODUCTION
Chronic obstructive pulmonary disease (COPD) is the presence of airflow obstruction which is not completely reversible. The airflow obstruction is progressive and may be accompanied by hyper-reactivity of airways to particles in the breathing air (1). The three types of COPD are emphysema, chronic bronchitis, and small airway (bronchioles) disease (1, 2). COPD is the fourth leading cause of mortality in the United States and the sixth in the world. It is estimated that among the most prevalent causes of mortality worldwide, COPD has raised to rank 3 (2, 3). The risk factors of COPD are respiratory infections, occupational exposure to hazardous materials such as the dusts and fumes of gold, silica, and coal, genetic factors such as α1-antitrypcin deficiency, air pollution, and smoking (4, 5). The symptoms and the functional limitations in COPD are because of the obstruction of airways, increased respiratory activity, and gas exchange disorders. The progression of the disease may lead to pulmonary hypertension, corpulmonale, and right-sided heart failure (5–7).
About 20% of COPD patients have no symptoms. However, the reduction of one-second Forced expiratory volume (FEV1), even at the normal range, may results in higher risks of cardiovascular incidents (8). Therefore, COPD is one of the risk factors of cardiovascular diseases (9–11). Previous studies showed that obesity, high levels of cholesterol, diabetes, and hypertension are important factors in the incidence of cardiovascular diseases (12). The prevalence of cardiac disorders in COPD patients is high, including pulmonary vascular disease, pulmonary hypertension, right-sided heart failure, arrhythmia, and Coronary artery disease (CAD) (13). For instance, Doucet et al. reported a high prevalence of ischemic heart diseases and heart failure in COPD patients (14). Likewise, Topsakal found significantly higher prevalence of CAD in 88 COPD patients in comparison with a control group (15). Similar findings have been reported by other authors (16, 17).
Cardiovascular diseases are the main cause of mortality worldwide, accounting for 50 and 25% of mortality in developed and developing countries, respectively (17). In addition, the prevalence of ischemic heart diseases is increasing with the CAD as the most common cardiovascular disease in the world (9, 18). Although the relationship between COPD and CAD is well-known, the responsible factors are not thoroughly identified (13). One of these factors is low-degree systemic inflammation in COPD patients that is related with increasing heart damages (13, 15). In fact, the levels of inflammatory factors such as C-reactive protein that play an important role in platelet accumulation and blood coagulation is increased in COPD patients because of heart failure (16). In addition, because of the reduction in the plasma oxidant capacity, low-degree chronic inflammation occurs which may be responsible for the high severity of atherosclerosis in COPD patients (15). Some studies reported the relationship between COPD and the progression of atherosclerosis (13–16).
Given the above, the present study was performed to assess relationship between the parameters of pulmonary function and the severity of CAD in COPD patients.
MATERIALS AND METHODS
Subject and study design
In this analytical cross-sectional study, 424 patients with ischemic heart diseases who underwent coronary angiography in the Heshmat Hospital, Rasht, north of Iran, were studied. The protocol of the study was approved by the Ethic committee of the Rasht University of Medical Sciences. Patients who were candidate for coronary angiography and bypass surgery, and those with the history of COPD and smoking were included in the study. Patients with respiratory diseases other than COPD, those with the history of previous angiographies, severe heart valve diseases, malignancies, and inflammatory diseases, as well as patients with liver or kidney insufficiency were excluded from the study.
Data collection
Data were collected from the medical records of the patients. The obtained variables were age, sex, Body mass index (BMI), smoking, systolic and diastolic pressures, the levels of Low-density lipoprotein (LDL), FEV1, FEV1/FVC, Ejection fraction (EF), hemoglobin, hematocrit, white blood cells (WBC), and systolic pressure of pulmonary artery. In addition, echocardiography findings, including right ventricular size and function, Pulmonary artery systolic pressure (PASP), Tricuspid annular plane systolic excursion (TAPSE), as well as the history of taking β-2 agonist medications, anticholinergic factors, and inhalational steroids were recorded.
Patients with a FEV1/FVC ratio of less than 70% were considered as COPD patients and their grades of the disease was determined according to the Global Initiative for Chronic Obstructive Lung Disease (22) as follow: grade 1: FEV1≥0.8, grade 2: 0.5≤ FEV1<0.8, grade 3: 0.3≤ FEV1<0.5, and grade 4: FEV1<0.3. In addition, according to the angiography findings and SYNTAX scoring, the patients were assigned in three groups based on the levels of artery stenosis as follow: low artery stenosis: SYNTAX score ≤22, intermediate artery stenosis: 23 ≤SYNTAX score≤32, and high artery stenosis: SYNTAX score ≥33. In this scoring system, vessels with a diameter of 1.5 mm or more are examined and received scores only if 50% or more of the diameter is obstructed.
Statistical analysis
Data were analyzed using version 21.0 of the SPSS software. Descriptive results are presented as frequencies (percent), mean ± standard deviation (SD), and median. The Kolmogorov-Smirnov goodness-of-fit test was used to assess the normality of the distribution of the variables. To assess the relationship between qualitative variables, the Chi-square test was used. The Spearman's correlation test was applied to assess the relationship between the severities of COPD and CAD with quantitative variables. The Kruskal-Wallis test was used to test the differences between the means of quantitative variables in the different levels of COPD or CAD. In addition, the relationship between the severities of COPD and CAD was assessed using the Kendall's tau correlation. To adjust potential confounding variables (age, sex, BMI, smoking, hemoglobin, systolic pressure of pulmonary artery), the multiple regression analysis was used. In all statistical tests, a p-value of less than 0.05 was considered significant.
RESULTS
Of 424 patients, 9 were excluded from the study. Three hundred and ten (74.7%) patients were male and 105 (25.3%) were females. The majority of the patients (59.5%) were not smoker, 31% were smokers, and 9.5% were not current smokers, but had the past history of smoking. The average age and BMI of the patients were 60.11±9.11 years and 26.85±4.09 kg/m2, respectively. The medical characteristics of the studied patients including the levels of LDL, systolic and diastolic pressures, FEV1, FEV1/FVC, EF, hemoglobin, hematocrit, WBC, systolic pressure of pulmonary artery, TAPSE, and the history of diabetes are shown in table 1. About 44% of the patients had history of diabetes mellitus.
Table 1.
Medical characteristics of the studied patients (n = 415)
| Variable | Min | Max | SD | Mean | Median |
|---|---|---|---|---|---|
| LDL (mg/dl) | 8.60 | 204.60 | 42.99 | 102.02 | 100.60 |
| SBP (mmHg) | 75.00 | 190.00 | 17.76 | 125.51 | 125.00 |
| DBP (mmHg) | 30.00 | 120.00 | 10.75 | 74.68 | 74.00 |
| FEV1 | 0.94 | 4.67 | 0.66 | 2.39 | 2.40 |
| Predicted FEV1 | 1.78 | 5.47 | 0.74 | 3.60 | 3.60 |
| FVC | 1.03 | 6.00 | 0.83 | 4.50 | 4.60 |
| FEV1/FVC (%) | 6.70 | 103.80 | 14.91 | 54.30 | 52.97 |
| EF (%) | 20.00 | 80.00 | 9.73 | 46.97 | 50.00 |
| Hb (g/dl) | 4.89 | 98.00 | 5.39 | 13.33 | 13.10 |
| Hct (%) | 19.50 | 93.50 | 6.78 | 40.15 | 39.70 |
| WBC (per μl) | 700 | 40400 | 3324 | 8839 | 8200 |
| Systolic pressure of pulmonary artery (mmHg) | 16.00 | 46.00 | 5.08 | 29.01 | 29.00 |
| TAPSE (cm) | 1.40 | 28.00 | 2.89 | 2.66 | 2.10 |
| Diabetes | N | % | |||
| 179 | 43.7 | ||||
The assessment of the patients by the GOLD indicated that 88 (21.2%), 270 (65.1%), 52 (12.5%), and 5 (1.2%) of them had the grades 1, 2, 3, or 4 COPD, respectively. In addition, the assessment of the severity of CAD by SYNTAX scoring showed that 46 (11.1%), 319 (76.9%), and 50 (12.0%) of the patients had the low, intermediate, and high artery stenosis, respectively.
Table 2 shows the relationship between the severities of COPD and CAD in the studied patients. Among patients with grade 1 COPD only 1 (1.1%) had high CAD. On the other hand, all patients with grade 4 of COPD had the high level of CAD. A statistically significant relationship was observed between the severity of COPD and the severity of CAD. The Kendall's tau correlation showed a statistically significant linear correlation between the severities of COPD and CAD so that patients with higher grades of COPD had higher levels of CAD.
Table 2.
Relationship between the severities of COPD and CAD in the studied patients (n = 415)
| Variable | Grade | CAD severity | Chi-square statistics* | p-value | |||
|---|---|---|---|---|---|---|---|
| Weak | Intermediate | High | Total | ||||
| COPD severity | 1 | 34 (38.6%) | 53 (60.2%) | 1 (1.1%) | 88 | 195.77 (df=6) | <0.001 |
| 2 | 12 (4.4%) | 239 (88.5%) | 19 (7%) | 270 | |||
| 3 | 0 | 27 (51.9%) | 25 (48.1%) | 52 | |||
| 4 | 0 | 0 | 5 (100%) | 5 | |||
| Kendall's tau correlation coefficient | 0.520 | <0.001 | |||||
Obtained from Chi-square-Pearson statistics
Table 3 indicates the relationship between demographic and medical characteristics of the patients with the severity of COPD. The Kruskal-Wallis test showed significant relationships between age, sex, BMI, LDL, EF, and systolic pressure of pulmonary artery with the severity of COPD. Female patients had higher severity of COPD than males. Similarly, older patients had higher grades of the disease. The mean of EF in the patients with grade 2 was significantly higher than those with grades 3 and 4 COPD (p=0.12). In contrast, no statistically significant differences were noted in the means of EF between the patients with grade 1 or 2 and between the patients with grade 1 and those with grade 3 and 4 COPD. No significant relationships were found between systolic and diastolic pressures, smoking, hemoglobin, hematocrit, WBC, TAPSE, and the history of diabetes with the severity of COPD. The Spearman's correlation test showed significant association between the severity of COPD and age, BMI, LDL, EF, and systolic pressure of pulmonary artery. However, the relationship was weak with correlation coefficients between 0.1 and 0.3.
Table 3.
Spearman correlation between demographic and medical characteristics with the severities of COPD and CAD
| Variables | COPD severity | p-value | COPD severity | CAD severity | |||||
|---|---|---|---|---|---|---|---|---|---|
| Grade 1 | Grade 2 | Grade 3 or 4 | Correlation | p-value | Correlation | p-value | |||
| Age (yr) | 58.31±9.29 | 60.01±8.89 | 63.35±9.15 | .005 | .152** | .002 | .130** | .008 | |
| BMI (kg.m2) | 26.11±3.8 | 26.91±4.23 | 27.75±3.7 | .035 | .124* | .012 | .112* | .023 | |
| LDL (mg/dl) | 92.31±38.37 | 102.49±42.37 | 114.71±49.33 | .012 | .147** | .004 | −.053 | .295 | |
| SBP (mmHg) | 125.89±16.93 | 124.95±18.5 | 127.61±15.29 | .395 | .029 | .564 | .084 | .089 | |
| DBP (mmHg) | 75.36±10.05 | 74.66±10.86 | 73.67±11.38 | .481 | −.051 | .304 | −.032 | .523 | |
| FEV1 | 2.92±0.62 | 2.38±0.55 | 1.63±0.38 | <.001 | −.550** | <.001 | −.389** | <.001 | |
| Predicted FEV1 | 3.39±0.73 | 3.64±0.74 | 3.74±0.72 | .003 | .159** | .001 | .021 | .669 | |
| FVC | 4.12±0.93 | 4.57±0.78 | 4.72±0.72 | <.001 | .220** | <.001 | −.001 | .988 | |
| FEV1/FVC (%) | 69.79±12.52 | 52.96±10.95 | 36.76±11.19 | <.001 | −.684** | <.001 | −.407** | <.001 | |
| EF (%) | 46.08±10.07 | 47.7±9.68 | 44.86±9.12 | .029 | −.025 | .615 | −.018 | .709 | |
| Hb (g/dl) | 13.38±1.57 | 13.43±6.57 | 12.82±1.79 | .112 | −.097* | .047 | −.198** | <.001 | |
| Hct (%) | 40.58±4.41 | 40±7.01 | 40.19±8.63 | .295 | −.072 | .146 | −.142** | .004 | |
| WBC (per μl) | 8788 ±2598 | 8804 ±3161 | 9084 ±4806 | .855 | −.025 | .610 | .030 | .546 | |
| Systolic pressure of pulmonary artery (mmHg) | 28.36±4.44 | 28.76±5.01 | 31.23±5.79 | .006 | .137** | .005 | .315** | <.001 | |
| TAPSE (cm) | 2.17±0.37 | 2.12±0.35 | 2.17±0.38 | .494 | −.015 | .769 | −.097 | .054 | |
| Sex | Male | 81(26.1) | 191(61.6) | 38(12.3) | <0.001 | ||||
| Female | 7(6.7) | 79(75.2) | 19(18.1) | ||||||
| Smoking | No | 43(17.8) | 159(65.7) | 40(16.5) | 0.1 | ||||
| Yes | 34(27) | 81(64.3) | 11(8.7) | ||||||
| Diabetes | No | 52(22.5) | 152(65.8) | 27(11.7) | 0.39 | ||||
| Yes | 36(20.1) | 114(63.7) | 29(16.2) | ||||||
Obtained from Kruskal-Wallis test;
Obtained from Chi-square test.
Table 4 shows the relationship between the severities of COPD and CAD in the studied patients. After controlling the confounding variables (sex, age, BMI, smoking, hemoglobin, and systolic pressure of the pulmonary artery), the regression model indicated a significant relationship between the severities of COPD and CAD (p<0.01). According to the goodness-of-fit and the Cox-Snell R2, two models were found as the best predictors of the severity of CAD in the COPD patients. Model 1 includes the severity of COPD and the sex of the patients. Model 2 includes the severity of COPD and systolic pressure of pulmonary artery. According to the model 1, the odds of higher CAD in females were 1.849 times higher than male patients. In addition, the odds of higher CAD in the patients with grades 1 or 2 COPD were 0.006 and 0.068 times of the patients with grades 3 and 4 COPD, respectively (Cox-Snell R2= 0.30). According to the model 2, one unit increase in the systolic pressure of the pulmonary artery increases the severity of CAD by 1.18 times. In addition, the odds of higher CAD in the patients with grades 1 or 2 COPD were 0.006 and 0.074 times of the patients with grades 3 and 4 COPD, respectively (Cox-Snell R2= 0.35).
Table 4.
Logistic regression analysis of the relationship between the severities of COPD and CAD in the studied patients (n=415)
| Variable | Odd ratio | 95% CI | p-value | Goodness-of-fit | Cox-Snell R2 | ||
|---|---|---|---|---|---|---|---|
| Chi-square statistic (df) | p-value | ||||||
| Model 1 | SPPA | 1.183 | 1.118–1.251 | <0.001 | 81.86 (115) | 0.91 | 0.35 |
| Grade 1 COPD | 0.005 | 0.002–0.014 | <0.001 | ||||
| Grade 2 COPD | 0.074 | 0.038–0.155 | <0.001 | ||||
| Model 2 | Sex (female) | 1.849 | 3.422–1.0 | 0.05 | 2.66 (df=7) | 0.99 | 0.30 |
| Grade 1 COPD | 0.006 | 0.002–0.015 | <0.001 | ||||
| Grade 2 COPD | 0.068 | 0.034–0.137 | <0.001 | ||||
DISCUSSION
In the present study we investigated the relationship between the parameters of pulmonary function and the severity of CAD in COPD patients. Coronary artery disease and COPD are common diseases in the adult population. Our study of 415 COPD patients showed that there were statistically significant relationships between sex, age, BMI, LDL, EF, and systolic pressure of pulmonary artery with the severity of COPD. In the present study, female patients had higher grades of COPD than males. In contrast, previous studies reported higher severity of COPD in men than women (19–21). This controversy may be because of the higher sensitivity of female patients in the present study to irritant and toxic agents that resulted in a severe shortness of breath at the initiation of activity. This is why female COPD patients have a lower quality of life than males (22).
A number of studies showed that smoking is one of the risk factors that increase the odds of COPD (23, 24). However, we did not find a significant relationship between smoking and the severity of COPD. This contrast may be due to the cross sectional nature of our study, and in order to assay the influence of smoking, longitudinal studies is required.
COPD patients can be classified according to the GOLD guideline into four groups based on the reduction of FEV1 in relation to the predicted value of it. Many studies have shown COPD as a risk factor for cardiovascular diseases and have found that COPD is associated with cardiovascular mortality; these studies indicated that the more severe the COPD, the greater the likelihood of CAD in these patients (25, 26). In addition, cardiovascular diseases are important predictors for hospitalization and mortality of COPD patients (25). In the present study, a significant relationship between the severities of COPD and CAD was observed. In our study, the significant relationship between the severity of COPD and the level of CAD remained even after controlling the effects of confounding variables. In parallel, a study by Dursunoglu et al. demonstrated that multivessel disease is more in patients with COPD (16), in another study by Zhu et al. it was also shown that COPD was associated with severity of CAD (27). Other study also reported that the more severe the COPD, the more the mortality after percutaneous coronary intervention (17). The reason for this relationship in our study may be due to the increased level of carbon dioxide in COPD patients which can play an important role in the progression of atherosclerosis and then increasing the probability of coronary artery disease.
We found statistically significant relationship between the severity of CAD and sex, age, smoking, FEV1, FEV1/FVC, hemoglobin, hematocrit, and the systolic pressure of pulmonary artery. In the present study, female patients had higher severity of CAD, a finding that is in line with that of Hochner-Celnikier et al (23). In contrast, some studies showed higher prevalence of CAD and its severity in male COPD patients (23, 28, 29). Age is one of the risk factors of cardiovascular diseases, including CAD. In the present study, younger patients had lower severity of CAD than older patients. In contrast, some studies reported that the severity of CAD increases by age (30). It seems that the direct relationship between age and CAD is because of the atherosclerosis which occurs and progresses with age. In addition, in contrast to most of previous studies (21, 31–34), smoker patients had lower severity of CAD.
In the present study, history of diabetes and higher levels of systolic pressure of pulmonary artery was proportional to higher severity of CAD. Some studies reported hypertension and diabetes as the main causes of CAD (34–37). For instance, Blomström-Lundqvist et al., found that 58% of the CAD patients had hypertension (38). In addition, Curkendall et al. reported that the prevalence of CAD among hypertensive patients was 74% (39). These results are in consistent with our findings. In fact, pulmonary hypertension is associated with decreased survival in COPD patients. Hypoxia seen in pulmonary hypertension patients plays a role both in COPD and CAD.
CONCLUSION
The findings of the present study indicate that the parameters of pulmonary function and the severity of CAD are associated with the severity of COPD and they can be considered as predictors in patients with different severities of COPD.
Limitations of the Study
Our study suffers from some limitations. First of all it was a cross sectional study and in this type of study we could not prove a cause-consequence relationship. Another limitation may be the small sample size of the study which may have affected the results; in order to obtain better results we suggest establishment of larger prospective studies.
Acknowledgements
We acknowledge the Research deputy of Guilan University of Medical Sciences for financial support [grant number: 96091616], director and personnel of Dr. Heshmat Hospital and all the patients who participated in this study.
Footnotes
Conflict of interest
None declared.
REFERENCES
- 1. Maclay JD, Rabinovich RA, MacNee W. Update in chronic obstructive pulmonary disease 2008. Am J Respir Crit Care Med 2009; 179 (7): 533– 41. [DOI] [PubMed] [Google Scholar]
- 2. Casanova C, Cote C, Marin JM, Pinto-Plata V, de Torres JP, Aguirre-Jaíme A, et al. Distance and oxygen desaturation during the 6-min walk test as predictors of long-term mortality in patients with COPD. Chest 2008; 134 (4): 746– 52. [DOI] [PubMed] [Google Scholar]
- 3. Gulsvik A. The global burden and impact of chronic obstructive pulmonary disease worldwide. Monaldi Arch Chest Dis 2001; 56 (3): 261– 4. [PubMed] [Google Scholar]
- 4. Feghali-Bostwick CA, Gadgil AS, Otterbein LE, Pilewski JM, Stoner MW, Csizmadia E, et al. Autoantibodies in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2008; 177 (2): 156– 63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Houben JM, Mercken EM, Ketelslegers HB, Bast A, Wouters EF, Hageman GJ, Schols AM. Telomere shortening in chronic obstructive pulmonary disease. Respir Med 2009; 103 (2): 230– 6. [DOI] [PubMed] [Google Scholar]
- 6. Hodge S, Hodge G, Jersmann H, Matthews G, Ahern J, Holmes M, et al. Azithromycin improves macrophage phagocytic function and expression of mannose receptor in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2008; 178 (2): 139– 48. [DOI] [PubMed] [Google Scholar]
- 7. Morissette MC, Vachon-Beaudoin G, Parent J, Chakir J, Milot J. Increased p53 level, Bax/Bcl-x(L) ratio, and TRAIL receptor expression in human emphysema. Am J Respir Crit Care Med 2008; 178 (3): 240– 7. [DOI] [PubMed] [Google Scholar]
- 8. Hole DJ, Watt GC, Davey-Smith G, Hart CL, Gillis CR, Hawthorne VM. Impaired lung function and mortality risk in men and women: findings from the Renfrew and Paisley prospective population study. BMJ 1996; 313 (7059): 711– 5; discussion 715-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Andersen ZJ, Hvidberg M, Jensen SS, Ketzel M, Loft S, Sørensen M, et al. Chronic obstructive pulmonary disease and long-term exposure to traffic-related air pollution: a cohort study. Am J Respir Crit Care Med 2011; 183 (4): 455– 61. [DOI] [PubMed] [Google Scholar]
- 10. Lamprecht B, McBurnie MA, Vollmer WM, Gudmundsson G, Welte T, Nizankowska-Mogilnicka E, et al. COPD in never smokers: results from the population-based burden of obstructive lung disease study. Chest 2011; 139 (4): 752– 763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Nagelmann A, Tonnov Ä, Laks T, Sepper R, Prikk K. Lung dysfunction of chronic smokers with no signs of COPD. COPD 2011; 8 (3): 189– 95. [DOI] [PubMed] [Google Scholar]
- 12. Shi A, Tao Z, Wei P, Zhao J. Epidemiological aspects of heart diseases. Exp Ther Med 2016; 12 (3): 1645– 1650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Falk JA, Kadiev S, Criner GJ, Scharf SM, Minai OA, Diaz P. Cardiac disease in chronic obstructive pulmonary disease. Proc Am Thorac Soc 2008; 5 (4): 543– 8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Doucet M, Rochette L, Hamel D. Incidence, Prevalence, and Mortality Trends in Chronic Obstructive Pulmonary Disease over 2001 to 2011: A Public Health Point of View of the Burden. Can Respir J 2016; 2016: 7518287. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Topsakal R, Kalay N, Ozdogru I, Cetinkaya Y, Oymak S, Kaya MG, et al. Effects of chronic obstructive pulmonary disease on coronary atherosclerosis. Heart Vessels 2009; 24 (3): 164– 8. [DOI] [PubMed] [Google Scholar]
- 16. Dursunoglu N, Dursunoglu D, Yıldız Aİ, Uludag B, Alaçam ZN, Sarıçopur A. Severity of coronary atherosclerosis in patients with COPD. Clin Respir J 2017; 11 (6): 751– 756. [DOI] [PubMed] [Google Scholar]
- 17. Tavares R, Dang-Tan T, Zhang S, Ismaila A, Stutz M, Goodall EC, et al. The Morbidity, Mortality, And Healthcare Utilization Attributed To Cardiovascular Disease In COPD Patients In Quebec, Canada. InC96. Global perspectives on COPD burden and care delivery 2016; A6155– A6155. [Google Scholar]
- 18. Anderson JL, Adams CD, Antman EM, Bridges CR, Califf RM, Casey DE, et al. ACC/AHA 2007 guidelines for the management of patients with unstable angina/non–ST-elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 2002 Guidelines for the Management of Patients With Unstable Angina/Non–ST-Elevation Myocardial Infarction) developed in collaboration with the American College of Emergency Physicians, the Society for Cardiovascular Angiography and Interventions, and the Society of Thoracic Surgeons endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation and the Society for Academic Emergency Medicine. Journal of the American College of Cardiology 2007; 50 (7): e1– e157. [DOI] [PubMed] [Google Scholar]
- 19. Kreatsoulas C, Natarajan MK, Khatun R, Velianou JL, Anand SS. Identifying women with severe angiographic coronary disease. J Intern Med 2010; 268 (1): 66– 74. [DOI] [PubMed] [Google Scholar]
- 20. Masoomi M, Nasri HR. Relationship between coronary risk factors and the number of involved vessels in coronary angiography. Hormozgan Medical Journal 2006; 10 (1): 29– 34. [Google Scholar]
- 21. Sadeghi M, Pourmand K, Sanei H, Heidari R, Talaei M. Which major atherosclerosis risk factors represents the extent of coronary artery disease?. ARYA Atherosclerosis 2012; 7 63– 9 [Google Scholar]
- 22. Masoumi M, Saeidi MR, Piri F, Abdoli GR. Epidemiological evaluation of coronary artery disease (CAD) in Patients referred to cardiovascular centers of Kermanshah (2001–2002). J Kermanshah Univ Med Sci 2004; 8 (2). [Google Scholar]
- 23. Hochner-Celnikier D, Manor O, Gotzman O, Lotan H, Chajek-Shaul T. Gender gap in coronary artery disease: comparison of the extent, severity and risk factors in men and women aged 45–65 years. Cardiology 2002; 97 (1): 18– 23. [DOI] [PubMed] [Google Scholar]
- 24. Medina A, Martín P, Suárez de Lezo J, Amador C, Suárez de Lezo J, Pan M, et al. Vulnerable carina anatomy and ostial lesions in the left anterior descending coronary artery after floating-stent treatment. Rev Esp Cardiol 2009; 62 (11): 1240– 9. [DOI] [PubMed] [Google Scholar]
- 25. Sidney S, Sorel M, Quesenberry CP, Jr, DeLuise C, Lanes S, Eisner MD. COPD and incident cardiovascular disease hospitalizations and mortality: Kaiser Permanente Medical Care Program. Chest 2005; 128 (4): 2068– 75. [DOI] [PubMed] [Google Scholar]
- 26. Goudis CA, Konstantinidis AK, Ntalas IV, Korantzopoulos P. Electrocardiographic abnormalities and cardiac arrhythmias in chronic obstructive pulmonary disease. Int J Cardiol 2015; 199 264– 73 [DOI] [PubMed] [Google Scholar]
- 27. Zhu Z, Wang X, Li X, Lin Y, Shen S, Liu CL, et al. Genetic overlap of chronic obstructive pulmonary disease and cardiovascular disease-related traits: a large-scale genome-wide cross-trait analysis. Respir Res 2019; 20 (1): 64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kosuge M, Kimura K, Ishikawa T, Shimizu T, Sugano T, Sumita S, et al. Different clinical and coronary angiographic findings according to ratios of total cholesterol to high-density lipoprotein cholesterol during the acute phase of myocardial infarction. J Cardiol 2004; 43 (6): 251– 8. [PubMed] [Google Scholar]
- 29. Syvänne M, Pajunen P, Kahri J, Lahdenperä S, Ehnholm C, Nieminen MS, et al. Determinants of the severity and extent of coronary artery disease in patients with type-2 diabetes and in nondiabetic subjects. Coron Artery Dis 2001; 12 (2): 99– 106. [DOI] [PubMed] [Google Scholar]
- 30. Washio M, Sasazuki S, Kodama H, Yoshimasu PK, Liu Y, Tanaka K, et al. Role of hypertension, dyslipidemia and diabetes mellitus in the development of coronary atherosclerosis in Japan. Jpn Circ J 2001; 65 (8): 731– 7. [DOI] [PubMed] [Google Scholar]
- 31. Kato J, Aihara A, Kikuya M, Matsubara M, Ohta M, Ohkubo T, et al. Risk factors and predictors of coronary arterial lesions in Japanese hypertensive patients. Hypertens Res 2001; 24 (1): 3– 11. [DOI] [PubMed] [Google Scholar]
- 32. Roohani M, Farahani Nia M, Gilani H, Hagghani H. Risk factors of myocardial infarction in women and men. Iran Journal of Nursing 2003; 16 (34): 37– 45. [Google Scholar]
- 33. Salarifar M, Kazemeini SM, AM HZ. Prevalence of Coronary Artery Disease and related risk factors in first degree relatives of patients with premature CAD Tehran Heart Center. Tehran University Medical Journal TUMS Publications 2008; 65 (1): 49– 54. [Google Scholar]
- 34. Separham KH, Shemirani H. Smoking or high blood pressure, which one is more important in premature coronary arterydisease? Journal of Isfahan Medical School (I.U.M.S) 2007; 25 (84): 1– 9. [Google Scholar]
- 35. Caglar IM, Dasli T, Turhan Caglar FN, Teber MK, Ugurlucan M, Ozmen G. Evaluation of atrial conduction features with tissue Doppler imaging in patients with chronic obstructive pulmonary disease. Clin Res Cardiol 2012; 101 (8): 599– 606. [DOI] [PubMed] [Google Scholar]
- 36. Ram FS, Jardin JR, Atallah A, Castro AA, Mazzini R, Goldstein R, et al. Efficacy of theophylline in people with stable chronic obstructive pulmonary disease: a systematic review and meta-analysis. Respir Med 2005; 99 (2): 135– 44. [DOI] [PubMed] [Google Scholar]
- 37. Tükek T, Yildiz P, Akkaya V, Karan MA, Atilgan D, Yilmaz V, et al. Factors associated with the development of atrial fibrillation in COPD patients: the role of P-wave dispersion. Ann Noninvasive Electrocardiol 2002; 7 (3): 222– 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Blomström-Lundqvist C, Scheinman MM, Aliot EM, Alpert JS, Calkins H, Camm AJ, et al. ACC/AHA/ESC guidelines for the management of patients with supraventricular arrhythmias—executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the European Society of Cardiology Committee for Practice Guidelines (Writing Committee to Develop Guidelines for the Management of Patients with Supraventricular Arrhythmias) developed in collaboration with NASPE-Heart Rhythm Society. Journal of the American College of Cardiology 2003; 42 (8): 1493– 531. [DOI] [PubMed] [Google Scholar]
- 39. Curkendall SM, deluise C, Jones JK, Lanes S, Stang MR, Goehring Jr E, et al. Cardiovascular disease in patients with chronic obstructive pulmonary disease, Saskatchewan Canada: cardiovascular disease in COPD patients. Annals of epidemiology 2006; 16 (1): 63– 70. [DOI] [PubMed] [Google Scholar]
