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Evaluation of atherosclerosis as a risk factor in COPD patients by measuring the carotid intima-media thickness

Abstract

Background

This study aimed to evaluate atherosclerosis as comorbidity by measuring the carotid (bulb and common carotid artery) Carotid intima-media thickness in COPD-diagnosed patients and to evaluate the relationship of atherosclerosis with the prevalence of COPD, hypoxemia and hypercapnia.

Methods

This study was conducted out between January 2019-December 2019 consisting of a total of 140 participants (70 COPD-diagnosed patients-70 healthy individuals). The COPD-diagnosed patients have been planned according to the selection and diagnosis criteria as per the GOLD 2019 guide. It is planned to evaluate as per prospective matching case-control study of the carotid thickness, radial gas analysis, spirometric and demographic characteristics of COPD diagnosed patients and healthy individuals.

Results

The average Carotid intima-media thickness in COPD patients was 0.8746±0.161 (p<0.05), and the thickness of the carotid bulb was 1.04±0.150 (p<0.05). In the control group, the average CCA intima-media thickness was 0.6650±0.139 (p<0.05), and the thickness of the carotid bulb was 0.8250±0.15(p<0.05) For the carotid thickness that has increased in COPD diagnosed patients a significant relationship is determined between hypoxemia (p<0.05) and hypercapnia(p<0.05). A significant relationship determined between CIMT and severity of COPD (p<0.05) The CIMT was high in COPD patients with hypoxemia and hypercapnia(p<0.05).

Conclusion

Significant difference was determined between the severity (grades) of COPD (mild, moderate, severe, very severe) in carotid thickness. Also, CIMT was found to be high in patients who is in the early phases of the prevalence of COPD. In COPD-diagnosed patients, it was determined that severity of COPD, hypoxemia, hypercapnia and age were determining factors of atherosclerosis.

Graphical Abstract

Peer Review reports

Background

A common, preventable, and treatable condition known as chronic obstructive pulmonary disease (COPD) is described by recurrent respiratory symptoms and airflow restriction by cause of airway and/or alveolar abnormalities, which are typically brought on by prolonged exposure to harmful gases or particles [1]. COPD is often associated with comorbidities. Cardiovascular diseases are one of the most common comorbidities [2]. It has long been known that cardiovascular illness significantly increases the risk of morbidity and mortality in patients with COPD [3]. Moreover, COPD is a proven independent risk factor for atherosclerosis and cerebrovascular ischemic strokes caused by atherosclerosis [4].

Increased intima-media thickness, a sign of preclinical carotid atherosclerosis, indicates the presence of atherosclerosis and the risk of cardiovascular disease [5]. Carotid atherosclerosis indicates coronary artery diseases, peripheral artery diseases and cerebrovascular diseases is firmly correlated with coronary atherosclerosis [6, 7].

The structure by which increased carotid intima-media thickness is associated with COPD is not well known [8, 9]. COPD can be considered a disease that accelerates aging [10, 11]. The mechanism that accelerates aging and cellular aging play a role in the pathologic process of atherosclerosis [12]. The mechanism of aging in atherosclerosis and COPD has been verified by abbreviated length of leukocyte telomere [11,12,13]. In addition, low levels of systemic inflammation [9], excessive smoking frequency, inactive lifestyle, low FEV1 value (forced expiratory volume) [14], platelet activation, hypercoagulability and oxidative stresses contribute to atherosclerosis and aging [8, 15]. Chronic hypoxemia is related with atherosclerosis, increased risk of cardiovascular diseases and hyperlipidemia. The extent of atherosclerosis corresponds with the severity of hypoxia [16]. Abnormalities of extracellular matrix in the arterial wall cause elastin degradation and atherosclerosis [17]. Between risk factors, systemic inflammation is considered as the most prominent risk factor [14].

An increasing level of evidence has occurred that subclinical atherosclerotic lesions can be detected by ultrasonography which is the non-invasive imaging modality [18]. Carotid intima-media thickness can be measured with carotid Doppler ultrasound with effective, reproducible and variable methods [19]. Measurement of carotid intima-media thickness with ultrasound measures arterial wall thickening by dividing it into phases before luminal plug development [20]. The most accurate information on this subject is the measurement of the carotid bulb thickness. Because the first signs of atherosclerosis and thickening of the carotid intima-media first appear in carotid bulb [21, 22].

Increased carotid intima-media thickness is related with cardiovascular morbidity in COPD patients [5].

In the literature, there is no previous study conducted by measuring the carotid bulb thickness of atherosclerosis as a risk factor in patients with a diagnosis of COPD by doppler ultrasound.

Thus, this study aimed to evaluate atherosclerosis as comorbidity by measuring the carotid intima-media thickness in COPD patients and to determine the relationship between atherosclerosis and the prevalence (grade) of COPD, hypoxemia and hypercapnia.

For this purpose, carotid (intima-media of bulb and common carotid artery (CCA)) thickness, arterial blood gas analysis, spirometry characteristics and demographic characteristics of healthy individuals with COPD diagnosis and without COPD diagnosis who applied to Health Sciences University, Department of Chest Diseases, Atatürk Sanatoryum Training and Research Hospital were evaluated. The research was planned and carried out as a prospective case-control study.

Methods

The study was approved Health Sciences University, Atatürk Sanatoryum Training and Research Hospital Ethical Review Board (IRB-/2012-KAEK-15/1885). All procedures applied in studies involving human participants were under the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

140 participants [70 patients with a diagnosis of COPD (COPD diagnosed patients were selected from patients who were hospitalized in our hospital, whose discharge was planned, and who did not have an additional chronic disease) and 70 healthy individuals without a diagnosis of COPD (control)] who applied to the Health Sciences University, Department of Chest Diseases, Atatürk Sanatoryum Training and Research Hospital between January 2019 and December 2019 were included in the study as a prospective matched case-control study.

Chronic diseases other than COPD (chronic heart failure, hematological or oncological disease, chronic infection, coronary and peripheral artery disease), diabetes mellitus, pregnancy, liver and kidney failure, previous cerebrovascular disease, presence of diseases that cause platelet structure dysfunction, smoking, COPD patients whose clinical condition is unstable, patients with antihypertensive, antihyperlipidemic, diabetic drug use, as well as those with a history of chronic drug use were determined as the exclusion criteria of the study.

Pulmonary function tests and arterial blood gas values of patients with a diagnosis of COPD will be arterial blood gases and pulmonary function obtained during the hospitalization of the patients.

In the spirometry measurement, short-acting beta2 agonists, long-acting beta2 agonists and theophylline were not given to the patients 6-12 and 24 hours before the test. Before 6 hours until the test, exercises, heavy meals and smoking were not allowed. Lung volume after 1 second in forced expiration (FEV)1%, forced vital capacity (FVC%), FEV1/FVC, and Forced expiratory flow rate (FEF) 25-75% values were measured in pulmonary function tests. In spirometric measurements, the best value obtained at the end of at least 3 blows, as recommended by the European Respiratory Society, was considered [23]. The prevalence (grades) of COPD in the patients were determined as grades 1-2-3-4, namely (mild, moderate, severe, and very severe) based on FEV1% values according to GOLD 2019.

The thickness of the carotid intima-media was measured by ultrasound, taking the longitudinal and transverse axis, of both common carotid arteries and carotid bulbs in the supine position, and turning patients opposite side of the artery to be measured (Figs. 1 and 2). The average of the values measured from the right and left sides was taken. Measurements were made with Siemens HelixEvolution, using b-mode ultrasound, with a 10-12 Mhz linear transducer. When the thickness of the common carotid artery (CCA) intima media is greater than ≥0.8 mm, it is considered to be thickened, ie 'atherosclerosis' [24].

Fig. 1
figure 1

Measurement of right common carotid artery (CCA) in COPD diagnosed patient by ultrasound

Fig. 2
figure 2

Measurement of right bulb of common carotid artery in COPD diagnosed patient by ultrasound

Arterial blood gases were taken after a rest period of at least 15 minutes in room air. The partial pressure of carbon dioxide (PaCO2) and partial pressure of oxygen (PaO2) and were evaluated in arterial blood gases.

Statistical analysis

All statistical analyses were performed with SPSS for Windows version 22.0 (SPSS Inc., Chicago, IL). Pearson Chi-Square and Fischer's exact tests were used to evaluating categorical variables. The normal distribution of the data of numerical variables was evaluated with Shapiro Wilk, normality test and Q-Q charts. In the comparison of the groups, the Independent Sample T-test or one-way analysis of variance was used for normally distributed variables, and Mann-Whitney U or Kruskal-Wallis test was used for non-normally distributed variables. Risk factors were analyzed using a logistic regression model. The suitability of the logistic regression model was examined by the Hosmer-Lemeshow test. In the relationship between two continuous variables; Pearson correlation analysis was used for normally distributed variables and Spearman correlation analysis was used for non-normally distributed variables. The significance level was set at p<0.05.

Results

The mean age was 61.6±8.68 years in patients with COPD and 52.55±10.9 years in the control group. Carotid intima-media thickened in 54 patients (77.15%) in the COPD group and 8 patients (11.5%) in the control group (p<0.001). In the COPD group, the mean CCA intima-media thickness was 0.8746±0.161 mm, and the carotid bulb thickness was 1.04±0.150 mm (p<0.05). In the control group, the mean common carotid artery intima-media thickness was 0.6650±0.139 mm and carotid bulb thickness was 0.8250±0.15 mm. (p<0.001). In the COPD group; While FEV1% was 47.45± 14.1%, FEV1/FVC was 57.04% ± 8.54, in the normal group; FEV1% was 87.12±13.73, FEV1/FVC was 81.74±5.31% (p<0.001). A statistically significant relationship was found between all these evaluation parameters (p<0.001). There was no significant difference only between the groups in BMI (P=0.174) (Table 1).

Table 1 Comparison of patients with and without COPD according to their personal characteristics, spirometric values and carotid intima media thickness. * shows statistical significance (p <0,05)

In patients with a diagnosis of COPD with thickened Carotid intima-media (n=16); CCA CIMT 0.9370 mm ± 0.12, carotid bulb thickness 1.09 mm± 0.10 (P<0.001). In patients with COPD without CIMT thickening (n=54); CIMT thickness was 0.6594mm ± 0.75 and carotid bulb thickness was 0.8969 mm ± 0.17 (P<0.005). These values were statistically significant (P<0.001). A significant correlation was found between hypoxemia (p<0.05) and hypercapnia (p<0.05) in patients diagnosed with COPD with thickened carotid intima-media. A significant correlation was found between the two groups in FEV1% values (p<0.05). Cigarette smoking (package/year) was not statistically significant among COPD patients with thickened and normal Carotid intima-media (P=0.72). At the same time, smoking status was not statistically significant (p>0.05). There was no statistically significant difference between the groups in FEV1/FVC% values (p>0.05) (Table 2).

Table 2 Comparison of personal characteristics, spirometric values and carotid intima media diameter thickness degrees between groups with normal and thickened carotid intima media diameter in patients with COPD. * shows statistical significance (p <0,05)

CCA carotid intima-media thickness was significantly high in COPD patients with hypoxemia and hypercapnia(p<0.05). There was a statistically significant correlation between CCA and bulb carotid intima-media thicknesses in patients with mild-moderate and severe-very severe COPD prevalence (p<0.05) (Table 3).

Table 3 Comparison of carotid intima-media thickness in patients with COPD according to the prevalence of hypoxemia, hypercapnia and COPD. * shows statistical significance (p <0,05)

In the logistic regression risk analysis in patients with COPD, the most important risk factors for CIMT were age (B=0.119) and Pao2 (B=-0.11) (p=0.022* and p= 0.019*). These values were found to be statistically significant. As a result, CIMT increased 1.126 times as age increased, and CIMT decreased 0.896 times as Pao2 increased. No significant risk was found for CIMT in other variables (Table 4).

Table 4 Multivariant logistic regression risk factors of carotid intima-media thickness in patients with COPD. * shows statistical significance (p <0,05)

There was a significant negative correlation between PaO2 mm/hg and carotid thickening, CCA and bulb CIMT and FEV1% values in patients diagnosed with COPD, and a significant positive correlation between PaCO2mm/hg and Bulb thickness. All these values were statistically significant (p<0.05). There was no significant correlation between patients diagnosed with COPD with carotid thickening and cigarette packs/year(p>0.05) (Tables 5 and 6).

Table 5 Parametric pearson correlation
Table 6 Non-parametric spearman correlation

Discussion

COPD is a preventable and treatable disease characterized by an inflammatory response in the lungs and airways to harmful gases and particles, persistent and often progressive airflow limitation, exacerbations, and comorbidities [1]. COPD is considered a systemic disease with extrapulmonary effects. COPD arises from the interaction between genetic susceptibility and environmental factors [25]. Comorbidities play an important role in COPD and contribute significantly to morbidity and mortality [26]. Cardiovascularly, one or more comorbidities such as angina, cerebrovascular stroke, arrhythmia, ventricular hypertrophy, and myocardial infarction may appear, and these comorbidities greatly reduce the survival of COPD patients [27]. Studies are showing that there is an increased risk of cardiovascular disease in COPD patients and therefore the risk of cardiovascular death in COPD is high [28, 29]. Studies have reported that up to 40% of deaths in COPD patients are due to cardiovascular diseases [30, 31]. Patients with mild COPD have a higher ratio of dying from cardiovascular diseases rather than respiratory failure [32]. There is a significant overlap between the risk factors associated with the development of COPD and atherosclerotic vascular disease. Clinically, there is a strong correlation between FEV1 and cardiovascular morbidity and mortality. However, COPD patients have a high risk of fatal myocardial infarction regardless of smoking status [33]. A large population study has shown that patients with severe to very severe COPD have a >2 times higher risk of cardiovascular disease, a 1.6 times higher prevalence of hypertension, and a higher risk of hospitalization [34]. It has been reported that the presence of persistent low-grade systemic inflammation found in COPD and atherosclerotic cardiovascular diseases may be the factor driving both pathologies [8, 14, 28]. The increased serum leukocyte, platelet and fibrinogen levels and the presence of increased cytokines, chemokines and acute phase proteins in COPD indicate that COPD is characterized by persistent systemic inflammation not only in the lungs [35, 36]. It has been reported that low-grade systemic inflammation is present even in non-smokers with COPD [37].

Carotid intima-media thickness has an important place in determining atherosclerosis. Carotid intima-media thickness measurement, values that differ slightly from each other have been determined in many studies. In these studies, it is recommended to average the measurements made from the right and left main carotid artery posterior wall for each patient and to evaluate them by comparing them with the values obtained from normal subjects [38, 39].

A consensus has been reached for CCA CIMT. In a meta-analysis [39], CIMT was found to be 0.76 mm ± 0.17 more in patients with myocardial infarction, 0.77 mm ± 0.18 more in those with a cerebrovascular stroke, and more than 0.82 mm ± 0.17 in those with both myocardial infarction and cerebrovascular stroke. In the meta-analysis of Lorenz et al. [40], the risk of myocardial infarction increases from 10% to 15%, and the risk of the ischemic cerebrovascular event increases from 13% to 18% with each 0.1 mm increase in IMT.

The 'bulb’ region where the CCA expands and bifurcates is important in the measurement of atherosclerosis.40 Because the blood flow in the bulb region is the slowest compared to other regions, it also has turbulent flow [41,42,43]. Therefore, atherosclerosis and carotid artery plaques first appear in the carotid bulb region [40]. However, since the bulb thickness is difficult to measure and experienced hands are required, the studies are fewer. The mean carotid bulb thickness was found to be 0.8925 ± 0.539 mm for the occurrence of cerebrovascular disease in the analyzes made with computer methods and programs through the data obtained from the patients [44]. No study in the literature evaluated atherosclerosis by measuring the carotid bulb thickness in patients with COPD.

In the literature, there are studies stating that coronary artery diseases are less common in COPD, as well as studies reporting that increased CIMT is observed in COPD patients and cardiovascular diseases are more common [45,46,47]. Eickoff et al. [48] measured higher CIMT in stable COPD patients than in healthy smokers or nonsmokers. Kim et al. [49] also found CIMT to be significantly higher in newly diagnosed and untreated COPD patients compared to healthy individuals. Similarly, van Gestel et al. [18] reported that COPD was associated with increased CIMT in patients undergoing vascular surgery, and increased CIMT was associated with increased cardiovascular mortality. In this study, in accordance with the literature, significantly increased CIMT and Carotid bulb thickness were observed in patients with COPD compared to healthy individuals (p< 0.001).

The risk of death due to myocardial infarction is significantly higher in patients with COPD, and it has been reported to be more pronounced regardless of age, gender, and smoking history [50]. In addition, Pobeha et al. reported that there was no difference between the CIMTs of COPD patients at different stages and that atherosclerosis observed in COPD started in the early period. Accordingly, they recommended that patients be evaluated in terms of concomitant atherosclerosis in the early period of COPD [9]. It has been reported in the literature that there is a strong correlation between clinically impaired lung function (FEV1%) and cardiovascular morbidity and mortality [14, 28, 49, 50]. Eickhoff et al. [49] found an inverse correlation between the increase in CIMT and FEV1% in patients with COPD. Recent studies have reported a change in FEV1% and its association with vascular wall stiffness and atherosclerosis in smokers with airflow limitation [50, 51]. Zureik et al. [52] reported that the disorder in FEV1% is associated with hardening of the vessel wall, endothelial dysfunction and atherosclerosis. Sin et al. [50] stated that the risk of cardiovascular death was higher in patients with low FEV1%. Also in our study, a negative correlation was observed between FEV1% and CIMT increase.

However, it has been reported that increased cholesterol and fasting blood sugar levels, which are risk factors for atherosclerosis, do not increase in COPD patients compared to healthy individuals [46, 53, 54]. Basili et al. found lipid levels to be significant in patients with COPD compared to healthy individuals [55]. The relationship between Diabetes Mellitus and COPD is also not clear [8]. In previous studies, it has been reported that total cholesterol, triglyceride and LDL cholesterol levels other than HDL are significantly lower in patients with COPD than in healthy individuals [47, 56, 57]. It is thought that the decrease in serum lipid levels observed in patients with COPD may be caused by anaerobic changes in carbohydrate and lipid metabolism after the hypoxic process [55].

Our study results support the knowledge that inflammation in COPD is more effective than the effect of smoking on the intima-media thickness of the carotid as stated in the study of Eickhoff et al. [49] in 60 patients with stable COPD and 20 healthy smokers and 20 healthy non-smokers. Smoking (package/year) among COPD patients in our study was not statistically significant in terms of CIMT (p>0.05).

In the study of Hafez et al. [58], patients with COPD and healthy individuals were compared and CIMT was discussed. Spirometric values and demographic characteristics of the patients and control group were examined. As in our study, the most important risk factors for CIMT in the Logistic regression risk analysis in patients with COPD were age and PaO2.

In this study, a significant correlation was found between hypoxemia (p<0.05) and hypercapnia (p<0.05) in patients diagnosed with COPD with carotid thickening. These results may lead to atherosclerosis by increasing the systemic inflammation of hypoxemia, oxidative stress, increased foam cell production and upregulation of cell adhesion molecules [16, 59, 60]. Similar results were reported by Ozbay et al. [61] According to their study, oxygen saturations decreased in patients with a diagnosis of COPD with thickened Carotid intima-media [62].

In studies conducted on patients with a diagnosis of COPD with carotid thickening, the distribution of COPD grades (mild, moderate, severe and very severe) was not found to be significant in determining carotid thickness [9, 62]. In our study, a significant correlation was found between CIMT and COPD prevalence (degree) in patients diagnosed with COPD with carotid thickening (p<0.05). However, considering the carotid thicknesses measured in mild and moderate COPD groups in our study, the mean carotid CCA thickness was 0.81mm±0.16, and the carotid bulb thickness was 1.005mm±0.17. These values were statistically significant (p<0.05). These values can be considered as an indication of the onset of carotid thickness, even in the early stages of COPD (grade 1-2).

In a meta-analysis [39], CIMT was found to be 0.76 mm ± 0.17 in patients with myocardial infarction, 0.77 mm ± 0.18 in those with a cerebrovascular stroke, and more than 0.82 mm ± 0.17 in those with both myocardial infarction and cerebrovascular stroke. In the study of Hafez et al. [58], CIMTs were 0.63±0.076 mm in the control group and 0.85±0.18 mm in the COPD group. In our study, the mean CCA intima-media thickness in the COPD group was 0.8746±0.161, and the mean CCA intima-media thickness in the control group was 0.6650±0.139. In other studies, CIMTs give similar results in COPD patients [5, 18, 49, 61].

In this study, carotid bulb thickness was 1.04±0.150 (p<0.05) in the COPD group and 0.8250±0.15 in the control group (p<0.05). Carotid bulb thickness was 1.09 mm± 0.10 (P<0.05) in COPD patients with Carotid intima-media thickened, and 0.8969 mm ± 0.17 in patients with COPD without CIMT thickening (P<0.05). There was a significant negative correlation between bulb CIMT and FEV1% values ​​and Pao2 mm/hg, and a significant positive correlation between PaCO2 mm/hg and COPD duration. Bulb thicknesses were found to be higher than CCA CIMT in our study. The increase in these values ​​should be considered a normal increase, because the blood flow in the bulb region is the slowest compared to other regions of the carotid, and it also has turbulent flow [41,42,43]. Therefore, atherosclerosis and carotid artery plaques first appear in the bulb region of the carotid [40]. In COPD patients with hypoxemia, carotid bulb intima-media thickness was not significantly higher than the group without hypoxemia (p>0.05). Because the carotid bulb thickness was found to be higher in the group without hypoxemia (0.98mm±0.21). This may be attributed to the first occurrence of atherosclerosis in the carotid bulb region [41,42,43].

As the limitations of the study, the number of female patients was low in patients with COPD. Patients with a diagnosis of COPD are less common in the community. In the patient group diagnosed with COPD, generally, male patients were included in the study. Another limitation is that although the group with COPD without additional diseases and the control group were selected, lipid profiles, which are independent risk factors for atherosclerosis, and 3-month blood glucose follow-ups could not be evaluated. However, it has been reported that increased cholesterol and fasting blood sugar levels, which are risk factors for atherosclerosis, do not increase in COPD patients compared to healthy individuals [46, 55,56,57].

In addition, contrast ultrasound has already been widely adopted not only to define myocardial borders and also perfusion [63, 64]. So it can be thought that contrast ultrasound might help further to stratify IMT characteristics. More studies with the use of contrast ultrasound would be useful.

Conclusion

According to this study, a significant difference was found between the severity (grades) of COPD (mild, moderate, severe, very severe) in carotid thickness. Also, CIMT was found to be high even in patients in the early stages (degree) of the prevalence of COPD. It was determined that FEV1% values decreased as the carotid thickness increased. Age, hypoxemia, hypercapnia and the prevalence (degree) of COPD were determined as atherosclerosis predictors in COPD patients. Smoking status was not seen as a determining factor.

In the literature, there is no study conducted by measuring the carotid bulb thickness of atherosclerosis as a risk factor in patients with a diagnosis of COPD by Doppler ultrasound. It is recommended that patients diagnosed with COPD be screened for atherosclerosis at an early stage from the onset of the disease. In addition, interventional studies targeting atherosclerosis in COPD patients and studies to evaluate the effects of early oxygen therapy on carotid thickness are needed.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Global Strategy for the Diagnosis, Management and Prevention of COPD, Global Initiative for Chroni c Obstructive Lung Disease (GOLD) 2020 update. Available from: http: //goldcopd.org.

  2. Bourdin A, Burgel PR, Chanez P, Garcia G, Perez T, Roche N. Recent advances in COPD: pathophysiology, respiratory physiology and clinical aspects, including comorbidities. Eur Respir Rev. 2009;18:198–212.

    Article  CAS  PubMed  Google Scholar 

  3. Maclay JD, MacNee W. Cardiovascular disease in COPD: mechanisms. Chest. 2013;143:798–807.

    Article  CAS  PubMed  Google Scholar 

  4. Lahousse L, van den Bouwhuijsen QJ, Loth DW, Joos GF, Hofman A, Witteman JC, et al. Chronic obstructive pulmonary disease and lipid core carotid artery plaques in the elderly: the Rotterdam Study. Am J Respir Crit Care Med. 2013;187:58–64.

    Article  CAS  PubMed  Google Scholar 

  5. Karakas OM, Cullu N, Karakas EK, Sak ZH, Yildizhan MU, Daglioglu E, et al. Evaluation of carotid intima-media thickness in the patients with chronic obstructive pulmonary disease. Acta Med Mediterr. 2013;29:265.

    Google Scholar 

  6. Balta S, Demirkol S, Kucuk U, Arslan Z, Unlu M, Veliyev V. Carotid intima-media thickness is a relatively inexpensive and favorable prognostic marker in patients with spondyloarthritis. Sao Paulo Med J. 2013;131:436–8.

    Article  PubMed  Google Scholar 

  7. Ogata T, Yasaka M, Yamagishi M, Seguchi O, Nagatsuka K, Minematsu K. Atherosclerosis found on carotid ultrasonography is associated with atherosclerosis on coronary intravascular ultrasonography. J Ultrasound Med. 2005;24:469–74.

    Article  PubMed  Google Scholar 

  8. Fimognari FL, Scarlata S, Conte ME, Incalzi RA, Fimognari FL, Scarlata S, et al. Mechanisms of atherothrombosis in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2008;3:89.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Pobeha P, Skyba P, Joppa P, Kluchova Z, Szaboova E, Tkac I, et al. Carotid intima-media thickness in patients with chronic obstructive pulmonary disease. Bratisl Lek Listy. 2011;112:24.

    CAS  PubMed  Google Scholar 

  10. Lee HY, Oh BH. Aging and arterial stiffness. Circulation. 2010;74:2257–62.

    Article  Google Scholar 

  11. Galal-Eldin M, Ahmad E, Hafez M, Sobh E, Alrayes M. Telomere length in chronic obstructive pulmonary disease. Egypt J Bronchol. 2015;9:20.

    Article  Google Scholar 

  12. Minamino T, Miyauchi H, Yoshida T, Ishida Y, Yoshida H, Komuro I. Endothelial cell senescence in human atherosclerosis role of telomere in endothelial dysfunction. Circulation. 2002;105:1541–4.

    Article  CAS  PubMed  Google Scholar 

  13. Benetos A, Okuda K, Lajemi M, Kimura M, Thomas F, Skurnick J, et al. Telomere length as an indicator of biological aging the gender effect and relation with pulse pressure and pulse wave velocity. Hypertension. 2001;37:381–5.

    Article  CAS  PubMed  Google Scholar 

  14. Maclay JD, Mcallister DA, Macnee W. Cardiovascular risk in chronic obstructive pulmonary disease. Respirology. 2007;12:634–41.

    Article  PubMed  Google Scholar 

  15. Invernizzi G. Persistence of systemic inflammation in COPD in spite of smoking cessation. Multidiscip Respir Med. 2011;6:210–1.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Savransky V, Nanayakkara A, Li J, Bevans S, Smith PL, Rodriguez A, et al. Chronic intermittent hypoxia induces atherosclerosis. Am J Respir Crit Care Med. 2007;175:1290–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Maclay JD, McAllister DA, Mills NL, Paterson FP, Ludlam CA, Drost EM, et al. Vascular dysfunction in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2009;180:513–20.

    Article  PubMed  Google Scholar 

  18. van Gestel YR, Flu WJ, van Kuijk JP, Hoeks SE, Bax JJ, Sin DD, et al. Association of COPD with carotid wall intima-media thickness in vascular surgery patients. Respir Med. 2010;104:712–6.

    Article  PubMed  Google Scholar 

  19. Simova I. Intima-media thickness: Appropriate evaluation and proper measurement, described. E-J ESC Council Cardiol Pract. 2015;13:21.

    Google Scholar 

  20. Jarauta E, Mateo-Gallego R, Bea A, Burillo E, Calmarza P, Civeira F. Carotid intima-media thickness in subjects with no cardiovascular risk factors. Rev Esp Cardiol. 2010;63:97–102.

    Article  PubMed  Google Scholar 

  21. Acharya UR, Faust O, Sree SV, Molinari F, Saba L, Nicolaides A, et al. An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans. IEEE Trans Instrument Meas. 2012;61(4):1045–53.

    Article  Google Scholar 

  22. Acharya UR, Krishann MMR, Sree SV, Sanches J, Shafique H, et al. Plaque tissue characterization and classification in ultrasound carotid scans: a paradigm for vascular feature amalgamation. IEEE Trans Instrum Meas. 2013;62(2):392–400.

    Article  Google Scholar 

  23. Miller MR, Crapo R, Hankinson J, Brusasco V, Burgos F, Casaburi R, et al. General considerations for lung function testing. Eur Respir J. 2005;26:153–61.

    Article  CAS  PubMed  Google Scholar 

  24. Seth S, Goyal NK, Jagia P, Gulati G, Karthikeyan G, Sharma S, et al. Carotid intima-medial thickness as a marker of disease activity in Takayasu’s arteritis. Int J Cardiol. 2006;108(3):385–90.

    Article  PubMed  Google Scholar 

  25. Singh D, Agusti A, Anzueto A, et al. Global Strategy for the Diagnosis, Management, and Prevent on of Chronic Obstructive Lung Disease: the GOLD science committe report 2019. Eur Respir J. 2019;18:1–11.

    Google Scholar 

  26. Okutan O, Ayten Ö. İstanbul Chronic Obstructive Pulmonary Disease and Comorbidities Respiratory. Jl Respir. 2012;14(3):181–3 Letter to the editör.

    Google Scholar 

  27. Dalal AA, Shah M, Lunacsek O, Hanania NA. Clinical and economic burden of patients diagnosed with COPD with comorbid cardiovascular disease. Respir Med. 2011;105:1516–22. https://doi.org/10.1016/j.rmed.2011.04.005.

    Article  PubMed  Google Scholar 

  28. Barnes PJ, Celli BR. Systemic manifestations and comorbidities of COPD. Eur Respir J. 2009;33:1165–85. https://doi.org/10.1183/09031936.00128008.

    Article  CAS  PubMed  Google Scholar 

  29. Bhatt SP, Wells JM, Dransfield MT. Cardiovascular disease in COPD: a call for action. Lancet Respir Med. 2014;2:783–5. https://doi.org/10.1016/S2213-2600(14)70197-3.

    Article  PubMed  Google Scholar 

  30. Sin DD, Paul Man SF. Chronic obstructive pulmonary disease as a risk factor for cardiovascular morbidity and mortality. Proc Am Thorac Soc. 2005;2:8–11. https://doi.org/10.1513/pats.200404-032MS.

    Article  PubMed  Google Scholar 

  31. Sin DD, Wu L, Man SF. The relationship between reduced lung function and cardiovascular mortality: a population-based study and a systematic review of the literature. Chest. 2005;127:1952–9. https://doi.org/10.1378/chest.127.6.1952.

    Article  PubMed  Google Scholar 

  32. Calverley PM, Anderson JA, Celli B, Ferguson GT, Jenkins C, Jones PW, et al. Salmeterol and fluticasone propionate and survival in chronic obstructive pulmonary disease. N Engl J Med. 2007;356(8):775–89. https://doi.org/10.1056/NEJMoa063070. (PMID: 17314337).

    Article  CAS  PubMed  Google Scholar 

  33. Barger G, Dale HH. Chemical structure and sympathomimetic action of amines. J Physiol. 1910;41:19–59.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Mannino DM, Thorn D, Swensen A, Holguin F. Prevalence and outcomes of diabetes, hypertension, and cardiovascular disease in chronic obstructive pulmonary disease. Eur Respir J. 2008;32:962–269.

    Article  CAS  PubMed  Google Scholar 

  35. Sin DD, Anthonisen NR, Soriano JB, Agusti AG. Mortality in COPD: role of comorbidities. Eur Respir J. 2006;28:1245–57.

    Article  CAS  PubMed  Google Scholar 

  36. Fabbri LM, Rabe KF. From COPD to chronic systemic inflammatory syndrome? Lancet. 2007;370:797–9.

    Article  PubMed  Google Scholar 

  37. Gan WQ, Man SFP, Senthilselvan A, Sin DD. Association between chronic obstructive pulmonary disease and systemic inflammation: a systematic rewiew and meta-analysis. Thorax. 2004;59:574–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Touboul PJ, Hennerici MG, Meairs S, Adams H, Amarenco P, Desvarieux M, et al. Mannheim intima-media thickness consensus. Cerebrovasc Dis. 2004;18:346–9.

    Article  PubMed  Google Scholar 

  39. van den Oord SC, Sijbrands EJ, ten Kate GL, van Klaveren D, van Domburg RT, van der Steen AF, et al. Carotid intima-media thickness for cardiovascular risk assessment: systematic review and meta-analysis. Atherosclerosis. 2013;228(1):1–11.

    Article  PubMed  Google Scholar 

  40. Lorenz MW, Markus HS, Bots ML, Rosvall M, Sitzer M. Prediction of clinical cardiovascular events with carotid intima-media thickness: a systematic review and metaanalysis. Circulation. 2007;115:459–67.

    Article  PubMed  Google Scholar 

  41. Watase H, Sun J, Hippe DS, Balu N, Li F, Zhao X, et al. Carotid artery remodeling is segment specific: an in vivo study by vessel wall magnetic resonance imaging. Arterioscler Thromb Vasc Biol. 2018;38(4):927–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Perktold K, Thurner E, Kenner T. Flow and stress characteristics in rigid walled and compliant carotid artery bifurcation models. Med Biol Eng Comput. 1994;32(1):19-26.161.

    Article  CAS  PubMed  Google Scholar 

  43. Stroud JS, Berger SA, Saloner D. Numerical analysis of flow through a severely stenotic carotid artery bifurcation. J Biomech Eng. 2002;124(1):9–20.

    Article  CAS  PubMed  Google Scholar 

  44. Ikeda N, Dey N, Sharma A, Gupta A, Bose S, Acharjee S, et al. Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment. Comput Methods Programs Biomed. 2017;141:73–81.

    Article  PubMed  Google Scholar 

  45. Higgins MV, Thomu T. Incidence, prevalence and mortality intra and inter country differences. In: Hensloy MJ, Sounders NA, editors. Clinical epidemology of COPD. New York: Marcel Dekker Inc; 1989. p. 23–9.

    Google Scholar 

  46. Ergen H, Saraç S, Saygı A, Arslan Z, Köklü S. Assessment of serum lipid values in COPD patients. Solunum. 2008;10:168–71.

    Google Scholar 

  47. Ridker PM, Rifai N, Rose LL, Buring JE, Cook NR. Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events. N Engl J Med. 2002;347:1557–65.

    Article  CAS  PubMed  Google Scholar 

  48. Eickhoff P, Valipour A, Kiss D, Schreder M, Cekici L, Geyer K, et al. Determinants of systemic vascular function in patients with stable chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2008;178:1211–8.

    Article  CAS  PubMed  Google Scholar 

  49. Kim SJ, Yoon DW, Lee EJ, Hur GY, Jung KH, Lee SY, et al. Carotid atherosclerosis in patients with nuntreated chronic obstructive pulmonary disease. Int J Tuberc Lung Dis. 2011;15:1265–70.

    Article  CAS  PubMed  Google Scholar 

  50. Sin DD, Wu L, Man SF. The relationship between reduced lung function and cardiovascular mortality: a population-based study and a systematic review of the literature. Chest. 1952;2005(127):9.

    Google Scholar 

  51. Iwamoto H, Yokoyama A, Kitahara Y, Ishikawa N, Haruta Y, Yamane K, et al. Airflow limitation in smokers is associated with subclinical atherosclerosis. Am J Respir Crit Care Med. 2009;179:35–40.

    Article  PubMed  Google Scholar 

  52. Zureik M, Benetos A, Neukirch C, Courbon D, Bean K, Thomas F, et al. Reduced pulmonary function is associated with central arterial stiffness in men. Am J Respir Crit Care Med. 2001;164:2181–5.

    Article  CAS  PubMed  Google Scholar 

  53. Berenson GS, Srinivasan SR, Bao W, Newman WP 3rd, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults: the Bogalusa Heart Study. N Engl J Med. 1998;338:1650–6.

    Article  CAS  PubMed  Google Scholar 

  54. McGill HC Jr, McMahan CA. Determinants of atherosclerosis in the young Pathobiological determinants of atherosclerosis in youth (PDAY) research group. Am J Cardiol. 1998;82:30T-36T.

    Article  PubMed  Google Scholar 

  55. Basili S, Ferroni P, Vieri M, Cardelli P, Ceci F, Paradiso M, et al. Lipoprotein (a) serum levels in patients affected by chronic obstructive pulmonary disease. Atherosclerosis. 1999;147:249–52.

    Article  CAS  PubMed  Google Scholar 

  56. Radavuş C, Sunay D, Çaylan A. Evaluation of serum lipid levels in chronic obstructive pulmonary disease. Tur Toraks Der. 2010;11:55–61.

    Article  Google Scholar 

  57. Ercan S, Çakan A, Dereli Ş, Özsöz A, Kalenci D. Investigating the serum lipid levels in chronic obstructive pulmonary disease. Tuberk Toraks. 2002;50:246–50.

    Google Scholar 

  58. Hafez MR, Sobh E, Abo-Elkheir OI, Sakr LK. Atherosclerosis is Associated Comorbidity in Patients with Chronic Obstructive Pulmonary Disease: Ultrasound Assessment of Carotid Intima Media Thickness. Eurasian J Pulmonol. 2016;18:165–71.

    Article  Google Scholar 

  59. Lattimore JD, Wilcox I, Nakhla S, Langenfeld M, Jessup W, Celermajer DS. Repetitive hypoxia increases lipid loading in human macrophages-a potentially atherogenic effect. Atherosclerosis. 2005;179:255–9.

    Article  CAS  PubMed  Google Scholar 

  60. Chen L, Einbinder E, Zhang Q, Hasday J, Balke CW, Scharf SM. Oxidative stress and left ventricular function with chronic intermittent hypoxia in rats. Am J Respir Crit Care Med. 2005;172:915–20.

    Article  PubMed  Google Scholar 

  61. Ozbay B, Ozgokce M, Asker M, Asker S. Association of Intermittent and Continuous Hypoxaemia with Carotid and Brachial Arterial Intima-media Thicknesses. West Indian Med J. 2016. pii: wimj.2015.370. https://doi.org/10.7727/wimj.2015.370.

  62. Chindhi S, Thakur S, Sarkar M, Negi PC. Subclinical atherosclerotic vascular disease in chronic obstructive pulmonary disease: Prospective hospital- based case control study. Lung India. 2015;32:137.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Agricola E, Slavich M, Bertoglio L, Civilini E, Melissano G, Marone E, Rinaldi E, Fisicaro A, Marini C, Tufaro V, Margonato A, Chiesa R. Contrast-Enhanced TEE During Thoracic Endovascular Aortic Repair Procedure. JACC Cardiovasc Imaging. 2015;8(8):980–2. https://doi.org/10.1016/j.jcmg.2014.07.029. (PMID: 26271093).

    Article  PubMed  Google Scholar 

  64. Agricola E, Slavich M, Rinaldi E, Bertoglio L, Civilini E, Melissano G, Marone E, Fisicaro A, Marini C, Tufaro V, Cappelletti A, Margonato A, Chiesa R. Usefulness of contrast-enhanced transoesophageal echocardiography to guide thoracic endovascular aortic repair procedure. Eur Heart J Cardiovasc Imag. 2016;17(1):67–75. https://doi.org/10.1093/ehjci/jev118. (Epub 2015 Jun 1 PMID: 26034095).

    Article  Google Scholar 

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Ali Firincioglulari, Cigdem Biber and Hakan Erturk. The first draft of the manuscript was written by Mujgan Firincioglulari and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.”

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Firincioglulari, A., Erturk, H., Firincioglulari, M. et al. Evaluation of atherosclerosis as a risk factor in COPD patients by measuring the carotid intima-media thickness. Cardiovasc Ultrasound 22, 2 (2024). https://doi.org/10.1186/s12947-023-00322-8

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