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Vascular Risk Factors and Carotid Atheromatous Disease in Patients over 65 Years of Age

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11 May 2023

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18 May 2023

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Abstract
Introdução: Os fatores de risco vasculares são decisivos na evolução da doença aterosclerótica e a ecografia Doppler carotídea e vertebral permite acompanhar o seu aparecimento e evolução. A medida do espessamento da parede arterial permite o diagnóstico precoce da doença potencializando seu tratamento e controle dos fatores de risco vasculares. Objetivo: Analisar a presença de doença ateromatosa em indivíduos com idade > 65 anos e compreender sua transformação com fatores de risco vascular. Materiais e Métodos: Estudo observacional transversal, em indivíduos com idade > 65 anos manifestados ao ecoDoppler carotídeo entre 1º de janeiro de 2012 e 31 de dezembro de 2021. Foi calculado o índice médio-intimal, a presença de placas ateromatosas, sua repercussão hemodinâmica e fatores de risco vascular foram registrados. Resultados: Obteve-se uma amostra de 5885 indivíduos, sendo 41,8% do sexo feminino e 58,2% do sexo masculino. A média de idade foi de 76,59 anos, variando entre 65 e 98 anos (+6,69). A hipertensão arterial foi a mais prevalente 81,3%. Houve relação positiva significativa entre índice médio-intimal, idade e história pessoal de doenças cardiovasculares e cerebrovasculares (p=0,001). Na presença de placas, sexo masculino, hipertensão arterial, diabetes, dislipidemia, tabagismo e história pessoal de doenças cardiovasculares e cerebrovasculares apresentadas de forma positiva. Conclusões: Nesta amostra, fatores de risco vascular não modificáveis ​​parecem ser determinantes na presença de aumento da espessura da parede arterial. Na presença de sinais de um estágio mais avançado da doença aterosclerótica, os fatores de risco vascular modificáveis ​​​​são decisivos,
Keywords: 
Subject: Public Health and Healthcare  -   Public Health and Health Services

Introduction

Vascular risk factors that contribute to atherosclerotic disease can be non-modifiable such as age, ethnicity, gender and family history of atherosclerosis, or modifiable risk factors, which can be controlled through re-education for healthy lifestyles, such as arterial hypertension, diabetes mellitus (DM), hypercholesterolemia, hypertriglyceremia, obesity, smoking, sedentary lifestyle, excessive alcohol consumption and embolic heart diseases (such as atrial fibrillation (AF), patent foramen ovale... ) [1,2,3,4,5].
Atherosclerosis is an inflammation that occurs mainly in the arteries of medium and large calibre, in a chronic and progressive way, due to the progressive and/or sudden change in the composition of the blood, through the effect of risk factors, resulting in damage to the vessel wall. This inflammation will result in the increasing deposit of lipids, calcium, blood cells and constituents in the vessel walls, forming atheromatous plaques that, in more severe cases, affect blood circulation and lead to ischemia in the dependent territory [6,7].
Atherosclerosis is the etiology that can affect the coronary arteries, with a risk of angina pectoris and/or acute myocardial infarction, it also affects the arteries of the limbs resulting in peripheral vascular disease and affects extra and/or intracranial arteries, being a factor risk of ischemic stroke.6,7 The highest occurrence of this type of pathology, as a rule, occurs in the elderly population over 65 years and in males. [4]
Carotid arteries are among the vessels most affected by atherosclerotic disease due to their size and turbulence of flow at the bifurcation. That is why it is extremely important to have an early perception of the presence of atheromatous disease, which is characterized in an initial phase by lipid infiltration, later evolving into atheromatous plaques and reduction of the carotid lumen due to stenosis. This study is performed by cervical Doppler ultrasound of the carotid and vertebral arteries, allowing the quantification of arterial wall thickening called the intima-media index (IMI), which has great potential for the non-invasive assessment of atherosclerotic disease, as well as the presence of atheromatous disease in more advanced stages, already with the presence of atheromatous plaques and respective hemodynamic repercussions. Several studies point to a relationship between the incidence of cardio and cerebrovascular diseases and increased IMI values. This represents the earliest form of atheromatous disease, being a risk marker for acute myocardial infarction (AMI) and stroke, which justifies continued research and interest in this topic.[8,9,10] Cardio and cerebrovascular diseases of atheromatous origin are the main cause of mortality and morbidity in Portugal, namely in the Alentejo region. This is a particular region because of its own gastronomic and demographic characteristics, namely with high fat level and a very aged population.[3,11,12] We consider the over 65 years old as the elderly cut-off in Portugal.[11] With that premise we designed this study aiming to analyse the presence of atheromatous disease in a group of individuals aged more than 65 years-old from Alentejo region, and understanding its correlation with vascular risk factors.

Material and methods

The non-probabilistic sample for convenience consisted of 5885 individuals aged 65 years or older who underwent the cervical Doppler ultrasound examination at Hospital between January 2002 and December 2021 and about which it was possible to collect information on cardiovascular risk factors, as well as Doppler ultrasound findings on the carotid and vertebral arteries and corresponding IMI values. The variables collected for the study were gender, age, race, personal and family history of AMI and stroke, presence of hypertension, smoking habits, presence of dyslipidemia, AF, presence of other embolic heart diseases, presence of diabetes mellitus IMI and Doppler ultrasound results of the carotid axes (right and left) and vertebral arteries, Qualitative variables (arterial hypertension, family and personal history of stroke and AMI, dyslipidemia, AF, DM and other embolic heart diseases) were subdivided into “yes” which corresponds to the presence of co-mobility in the individual and “no” to its absence. The qualitative variable gender was characterized by “male” and “female”, race by “black” and “Caucasian”, and in the variable smoking, the description “ex-smoker” was added, which included cases that quit smoking minimum of 12 months before the exam. In the variable other cardioembolic heart diseases (sinus node diseases, valvulopathies, endocarditis, presence of prosthetic valves, cardiomyopathies, congenital heart diseases and iatrogenic causes) the main potentially embolic heart diseases except AF were included as “yes”. The data corresponding to the cervical Doppler ultrasound findings were grouped into carotid axes (includes mean value of left and right axis results) and vertebral arteries (includes mean value of left vertebral artery and right vertebral artery results) and were categorized into: normal exams, mild stenosis (<50%) and moderate stenosis (50%-69%), significant stenosis (70%-89%) and pre-occlusive stenosis (90%-99%), occlusions, atheromatous changes without hemodynamic repercussions, occlusions and others (where tortuosity, hypoplasia, etc. were included). The quantitative variables age and IMI had their corresponding numerical values ​​described, with the IMI presented in millimeters (mm) and classified as normal when the numerical value is ≤0.9mm, thickening when found between 1mm and 1.3mm and atheroma when the numerical value is ≥1.4mm [13,14].
To quantify the degree and severity of carotid stenosis, the “North American Symptomatic Carotid Endarterectomy Trial” (NASCET) classification was used [15,16].
Family history of stroke and AMI and ethnicity were only analysed descriptively, as there was not much variability.
In order to guarantee confidentiality and anonymity of all data, they were coded sequentially and numerically, without any personal identification, respecting the ethical principles contained in the Declaration of Helsinki. [17]
The G*power Software (G*power 3.1, University of Düsseldorf, Düsseldorf, Germany) was used to analyse conditions with a sample of 5881 individuals: effect size f = 0.25, α error probability = 0.05 and power (1-β error probability) = 0.95.
An individual descriptive analysis of each variable was carried out. For continuous variables, mean and standard deviation were calculated; categorical variables were presented as a percentage. In order to test the normality were performed using the Kolmogorov-Smirnov and Shapiro-Wilk tests.
For the evaluation of dependency relationships, the test according to the nature of the variables was used, including the Chi-square test; ETA test and C-Pearson. P-values ​​<0.05 were considered statistically significant.
Statistical analysis was performed using SPSS statistical data analysis software (Statistical Package for the Social Sciences, IBM SPSS Statistics®23) in the Windows 10® version.

Results

A total of 5885 individuals were evaluated, of which 41.8% were female and 58.2% were male, with a mean age of 76.59 years + 6.686 and a maximum of 98 years.

Risk factors

With regard to the remaining risk factors, given the existence of only one black individual, this factor was not subject to statistical analysis. Of note are 30.8% of individuals with a personal history of stroke and 7.2% with a personal history of ADE (Table 1).
As for modifiable risk factors, 81.3% of individuals had hypertension and 18.7% were normotensive. Dyslipidemia was present in 51.3% of individuals. With diabetes mellitus 31.4% and the vast majority of individuals did not report smoking habits (82.7%), 5.8% were smokers and 11.5% were ex-smokers. AF had a percentage of 16.6% and 3.6% with other cardioembolic heart diseases (Table 1).

Exam results

The minimum value found for the IMI was 0.5mm and the maximum was 1.3mm with an average of 0.962mm (+0.170). About 46.6% of the individuals had increased IMI.
In the evaluation of the carotid axes by Doppler ultrasound, 13.6% of the exams were normal, 64.2% had atheromatous plaques, without hemodynamic repercussions; 6.1%atheromatous plaques conditioning moderate stenosis, in 5.4% atheromatous plaques conditioning significant pre-occlusive stenosis, and 3.3% with occlusion (by plaques, thrombus or atherothrombosis). The remainder (7.4%) had other alterations or variants of normality. Regarding the vertebral arteries, it was observed that most of the exams were normal (93.6%), 1.2% had atheromatous plaques, without hemodynamic repercussions, 0.3% atheromatous plaques with moderate stenosis, 0.3% atheromatous plaques conditioning significant stenosis to pre-occlusive, and 2.4% with occlusion. The remainder (2.2%) had other alterations or variants of normality (Table 2).
In order to analyse the relationship of dependence between the various risk factors referred to and alterations in the carotid and vertebral axes, crosstabs and statistical tests were carried out and percentages were compared, in which significant correlations were verified between genders and the presence of increased IMI and atheromatous alterations in the Doppler ultrasound. at the level of the carotid and vertebral axes (p=0.000) there was a higher prevalence of IMI and alterations such as atheromatous plaques with or without stenosis in males compared to females. Regarding age, there is also a positive correlation with the IIM, which tends to have higher values ​​with age. It should also be highlighted the presence of statistical significance between personal history of stroke and the presence of atheromatous disease, regardless of the stage or degree, and personal and family history of ADE in more advanced stages of atheromatous disease or other cervical arterial changes (Table 3 and Table 4).
With regard to modifiable risk factors, hypertension, DM and dyslipidemia stand out, which only showed statistical significance with the presence of alterations in the carotid axes and vertebral arteries, with hypertensive, diabetic or dyslipidemic patients being those who presented more changes. Smoking, on the other hand, showed a positive correlation with atheromatous disease in earlier stages (increased IMI) and in more advanced stages (presence of plaques with or without stenosis). AF had a significant correlation with the absence of atherosclerotic changes in the referred arteries (Table 3 and Table 5).

Discussion

The aim was to analyse the presence of atheromatous disease in a group of individuals aged 65 years or over in this hospital sample and to understand its correlation with vascular risk factors. It is described in the literature that advanced age is one of the most important risk factors for the development of atherosclerosis, constituting a public health problem due to the fact that in the more advanced age group (> 65 years) there is greater frailty, number of diseases and risk factors for atherosclerotic disease.
In this sample, there was a higher prevalence of males, as described in the results of other studies related to atheromatous disease and risk factors.[5,18] About 1/3 of the sample reveals a personal history of stroke/AMI. Data are in line with the literature.[6,7] According to some authors, atherosclerosis is the most frequent etiology and affects the coronary arteries, resulting in angina pectoris and/or acute myocardial infarction, affects the arteries of the limbs resulting in peripheral vascular disease and affects the extra and/or intracranial arteries, resulting in cerebrovascular accident (CVA).[6,7]
As for modifiable risk factors, it should be noted that most individuals are hypertensive (81.3%), about half of the sample have dyslipidemia (51.3%) and about 1/3 are diabetic. The average prevalence of hypertension found in the study is in line with what was expected and already reported in data from 2015, which refer to a prevalence of hypertension in the total Portuguese population of 36%, with a tendency to increase with advancing age.[19] Also the result of dyslipidemia and diabetes are in line with what is described in the consulted literature. In an epidemiological study by Mariano et al (2015), which refers to a prevalence of 52% of dyslipidemia in the Portuguese population.[20] According to Correia et al (2009) in Portugal, more than a quarter of the population has diabetes mellitus.[21] According to the guidelines of the Sociedade Brasileira de diabetes and the annual report of the national diabetes observatory in Portugal (2009), there is an increase in the prevalence of diabetes mellitus with the aging of individuals, thus concluding that the higher the average age, the greater the increase in the percentage of the disease.[21]
As for other factors such as AF and smoking, its low prevalence may be related to a higher frequency of smoking in younger age groups and with better financial conditions[22] and AF, despite being more prevalent in the elderly, is found to be higher after the age of 80 [23], diverging from our sample, which has a relatively lower average age, as well as the lack of knowledge on the part of patients about some co-mobilities.
With regard to Doppler echo findings, less than a quarter (13.6%) of the sample showed normal carotid arteries and almost all (93.6%) had normal vertebral arteries. This is in agreement with the literature, since the presence of pathology is more frequent in larger caliber vessels that are subject to more turbulent flows that condition intimal lesions, increasing the predisposition for the development of the atherosclerotic process. In this exam, the measurement of the carotid wall IIM value is an important parameter in the cerebrovascular area, since it is a predictor of atherosclerotic disease.[14] Naqvi et al. (2014) evaluated the intima-media index and atherosclerotic plaque in the assessment of cardiovascular risk and concluded that only the IIM value improves the predictive power of cardiovascular risk factors, but when the measurement is associated with the carotid bifurcation, it improves the prediction of disease atherosclerosis and stroke.[24] According to Blaha et al. (2014), if the objective is to calculate the risk of a stroke, the ultrasound image with measurement of the IMI must be used.[5] In this sample, about half (46.6%) presented an increased IMI, that is, it presents signs of the atherosclerotic process in the initial phase. More than half of the sample (64.2%) has atheromatous disease in the carotid axes, but without hemodynamic repercussions in most individuals, which is in line with the fact that atherosclerosis is a chronic pathology with slow evolution that worsens with increasing age.[25]
When analysing the relationship of dependence between the various risk factors referred to and changes in the carotid and vertebral axes, a significant relationship was observed between increased IMI and the presence of alterations such as atheromatous plaques with or without stenosis in males and in individuals with older ages, corroborating with previously mentioned studies. [5,17,25] A study carried out in 2008 reports that the IMI is associated with ages over 65 years.[25] In a meta-analysis carried out in 2017, it was concluded that the measurement of the thickness of the intima and media layers of the carotid arteries for assessment of cardiovascular risk, the IIM, increases with increasing age and male sex, due to the fact that with increasing age there is a greater development of multiple risk factors in the same individual that will cause to the increase of the IIM in relation to the younger ones.[9] In 2018, in a study with 84,880 individuals, a higher prevalence of carotid atherosclerosis was observed in males compared to the female and increased with age,[26] as well as in a previous study carried out in 1999.[17] Another study that evaluated the predictors of IMI and progression of atherosclerotic plaque in the Chinese population, found an association between increased IMI and progression of atherosclerotic plaque with gender, but a higher prevalence of these alterations was identified in females.[27] This and other studies point to a possible variability related to ethnicity and the region where the studies were carried out, since socioculturally there are customs where men play roles and have different habits (food, alcohol, sedentary lifestyle, education, profession and information on health).[27,28] In this sample the number of non-Caucasian individuals was small, thus these results are in agreement with the studies consulted with samples of similar characteristics.
The presence of statistical significance between the personal history of stroke and the presence of atheromatous disease, regardless of the disease stage (early or advanced), leads us back to the fact that IIM is associated with ages over 65 years and that atherosclerosis is a chronic pathology.[25]
With regard to modifiable risk factors, hypertensive, diabetic or dyslipidemic individuals showed statistical significance with the presence of changes in the carotid axes and vertebral arteries (more advanced stages of the disease). The findings of this study are in line with a study carried out in 2010, where the development of atheroma plaques in diabetic and hypertensive patients was evaluated, which showed that associations between the formation of atheroma plaques and HTA are observed in the literature.[29] In a study Chinese epidemiological study carried out in 2018, individuals were evaluated ultrasonographically for carotid atherosclerosis, showing a significantly high rate of hypertension.[26] The more advanced age groups are more prone to the presence of modifiable risk factors such as hypertension, which constitutes a one of the main risk factors for atherosclerotic disease, and it is expected that its presence, particularly in more advanced age groups, will influence the presence of atheromatous disease in medium and large caliber vessels, namely in areas of bifurcations or tortuosities that are very likely to damage the artery arterial wall and form atheromatous plaques.[30] Some studies have shown There are somewhat divergent results with regard to the relationship between hypertension and the different stages of the disease. In a study based on the evaluation of carotid atherosclerosis by echo-Doppler and the association with cardiovascular risk factors, AHT was not associated with carotid atherosclerosis, but with carotid intima-media thickening.[25] However, given the lower value (63 years) of the mean age of the sample in the study carried out may justify the absence of a positive relationship with more advanced stages of the disease and only being positive with the earlier stage.
As for dyslipidemia and diabetes, studies show that individuals with dyslipidemia have a higher prevalence of carotid atherosclerosis.[28] A meta-analysis revealed that they found 10 articles in which patients with dyslipidemia have a higher risk of developing carotid plaque and seven articles point to the fact of diabetic patients have a higher prevalence of atherosclerotic plaque than non-diabetic patients.[30] As previously mentioned, just like hypertension, diabetes mellitus is associated with atherosclerotic plaques. However, another study did not find statistical evidence of the association between carotid atherosclerosis and diabetes mellitus.[25] The literature presents inconsistent results on the subject.[29] The disagreement between studies is justifiable since it is described that diabetes mellitus is a risk factor for the development of atherosclerosis, mainly atherosclerosis of the microcirculation, thus less frequent direct involvement with large-caliber arteries and arterial bifurcations.[31,32]
Smoking in this sample showed a positive correlation with atheromatous disease in the earlier stages of the disease (increased IMI) and in the more advanced stages (presence of plaques with or without stenosis). This corroborates the studies, where smoking is associated with carotid alterations.[25,26]
Unlike in this sample, AF had a significant correlation with normal exams. This is in line with some research studies previously carried out. AF and other cardioembolic diseases are the main cause of stroke, most of the time not due to disease of the local arterial wall, but due to the formation of thrombi of cardiac origin.[33]
The main limitation of this study is the retrospective inclusion of individuals who received cervical Doppler, excluding all the patients that didn’t do it.

Conclusions

There are no publicated data of our Alentejo population, a very old one with particular diet habits. In this study it was possible to characterize the correlation of non-modifiable risk factors such as advanced age, male sex and the presence of a personal history of brain and cardiovascular diseases with the increased occurrence of IMI. Male gender and modifiable risk factors such as hypertension, diabetes, dyslipidemia and smoking are related to more advanced stages of atherosclerotic disease, with the presence of atheromatous plaques with and without hemodynamic repercussions.

References

  1. John, WC. Large Artery Atherosclerotic Occlusive Disease. Continuum (Minneap Minn). 2017 Feb;23(1) (Cerebrovascular Disease):133-157. [CrossRef]
  2. Holman RL, McGill HC, Strong JP e Geer JC. The natural history of atherosclerosis: The early aortic lesions as seen in New Orleans in the middle of the 20th century. Am. J. Pathol. 1958 april;34(2) 209–235. PMCID: PMC1934740.
  3. Marques da Silva P, Lima MJ, Neves PM, Espiga de Macedo M. Prevalence of cardiovascular risk factors and other comorbidities in patients with hypertension in Portuguese primary health care populations: The PRECISE study. Rev Port Cardiol (Engl Ed)https://pubmed.ncbi.nlm.nih.gov/?term=%22Rev+Port+Cardiol+%28Engl+Ed%29%22%5Bjour%5Dhttps://www.ncbi.nlm.nih.gov/nlmcatalog?term=%22Rev+Port+Cardiol+%28Engl+Ed%29%22%5BTitle+Abbreviation%5Dhttps://pubmed.ncbi.nlm.nih.gov/31307727/. 2019 Jun;38(6):427-437. [CrossRef]
  4. Polonia J, Martins L, Pinto F, Nazare J. Prevalence, awareness, treatment and control of hypertension and salt intake in Portugal: Changes over a decade the PHYSA study. J Hypertens. 2014jun;32(6):1211–21. [CrossRef]
  5. Blaha, MJ. The future of CV risk prediction: Multisite imaging to predict multiple outcomes. JACC Cardiovasc Imaging. 2014;7(10):1054–6. ISSN 1936-878.
  6. Natural history of aortic and coronary atherosclerotic lesions in youth. Findings from the PDAY study. Pathobiological determinants of atherosclerosis in youth (PDAY) Research group Arterioscler. Thromb.1993 sep;13(9):1291–1298. [CrossRef]
  7. Santos MG, Pegoraro M, Sandrini F, Macuco EC. Risk Factors for the Development of Atherosclerosis in Childhood and Adolescence. Arq Bras Cardiol 2008; 90(4): 276-283. doi.org/10.1590/S0066-782X2008000400012.
  8. Kitamura A, Iso H, Imano H, Ohira T, Okada T, Sato S, et al. Carotid intima-media thickness and plaque characteristics as a risk factor for stroke in Japanese elderly men. Stroke. 2004 dec;35(12):2788–94. [CrossRef]
  9. Torres FS, Moreira CM, Vianna FF, Gus M. Medida da espessura das camadas íntima e média das artérias carótidas para avaliação do risco cardiovascular/ Intima-media thickness measurement for cardiovascular risk assessment. Rev. bras. Hipertens. 2007jul;14(3): 171-175.
  10. O'Leary DH, Bots ML. Imaging of atherosclerosis: carotid intima-media thickness. Eur. Heart J. 2010jul;31(14): 1682-9. [CrossRef]
  11. Sousa-Uva M, Dias CM. Prevalência de Acidente Vascular Cerebral na população portuguesa: dados da amostra ECOS 2013/2014.
  12. Perdigão C, Rocha E, Duarte JS, Santos A, Macedo A. Prevalência, caracterização e distribuição dos principais factores de risco cardiovascular em Portugal. Uma análise do Estudo AMÁLIA. Rev Port Cardiol. 2011;30(04):393-432.
  13. Casella IB, Presti C, Porta RMP, Sabbag CRD, Bosch MA, Yamazaki Y. A practical protocol to measure common carotid artery intima-media thickness. Clinics. 2008;63(4):515–20. [CrossRef]
  14. Pgnoli P, Tremoli E, Poli A, Oreste P, Paoletti R. Intimal plus medial thickness of the arterial wall: A direct measurement with ultrasound imaging. Circulation. 1986;74(6):1399–406. [CrossRef]
  15. Ferguson GG, Eliasziw M, Barr HWK, Clagett GP, Barnes RW, Wallace MC, et al. The North American Symptomatic Carotid Endarterectomy Trial. Stroke. 1999sep;30(9):1751–8. [CrossRef]
  16. Ferguson GG, Eliasziw M, Barr HWK, Clagett GP, Barnes RW, Wallace MC, et al. The North American Symptomatic Carotid Endarterectomy Trial. Stroke. 1999sep;30(9):1751–8. [CrossRef]
  17. Diniz D, Correa M. The Helsinki Declaration: relativism and vulnerability. Cadernos de Saúde Pública/Ministério Da Saúde, Fundação Oswaldo Cruz, Escola Nacional de Saúde Publica. 2001jun; 17(3), 679-688. [CrossRef]
  18. Joakimsen O, Bønaa KH, Stensland-Bugge E, Jacobsen BK. Age and sex differences in the distribution and ultrasound morphology of carotid atherosclerosis: the Tromso Study. Arterioscler Thromb Vasc Biol. 1999dec;19(12):3007–13. [CrossRef]
  19. Rodrigues AP, Kislaya I, Graff-iversen S, Silva AC, Barreto M, Gil AP, et al. Prevalência de hipertensão arterial em Portugal: resultados do Primeiro Inquérito Nacional com Exame Físico (INSEF 2015)/Hypertension prevalence in Portugal: results from the first Portuguese Health Examination Survey 2015. Observações - Boletim Epidemiológico [Internet]. 2017;(2):11–4. ISSN: 0874-2928. Available from: www.insa.pt.
  20. Mariano C, Antunes M, Rato Q, Bourbon M. e_LIPID: caracterização do perfil lipídico da população portuguesa. Instituto Nacional de Saúde Doutor Ricardo Jorge, IP - Boletim Epidemiológico Observações. 2015out-dez;4(14):7–10. ISSN: 2182-88730874-2928.
  21. Correia LG, Boavida JM, Cardoso M, Duarte JS, Duarte R, Nunes JS, et al. Diabetes: Factos e Números 2016,2017 e 2018 - Relatório Anual do Observatório nacional da Diabetes. Portugal. Sociedade Portuguesa de Diabetologia. 2019.
  22. SNS. Consumo de tabaco em Portugal [Internet]. Serviço Nacional de Saúde. 2017. Available from: https://www.sns.gov. 2017.
  23. Bonhorst, D. Um novo olhar sobre a prevalência da fibrilhação auricular em Portugal. O Estudo Safira. Rev Port Cardiol. 2018;37(4):315–7. doi.org/10.1016/j.repc.2018.02.002.
  24. Naqvi TZ, Lee MS. Carotid intima-media thickness and plaque in cardiovascular risk assessment. JACC Cardiovasc Imaging. 2014;7(10):1025–38. [CrossRef]
  25. Freitas P, Piccinato CE, Martins WDP, Mauad Filho F. Carotid atherosclerosis evaluated by Doppler ultrasound: Association with risk factors and systemic arterial disease. J Vasc Bras. 2008;7(4):298–307. [CrossRef]
  26. Wang X, Li W, Song F, Wang L, Fu Q, Cao S, Yong G, Zhang W, Yue W, Yan F, Shi W, Wang X, Zhang H, Zhang H, Wang Z, Lu Z. Carotid atherosclerosis detected by ultrasonography: A national cross-sectional study. J Am Heart Assoc. 2018apr 5;7(8):1–14. [CrossRef]
  27. Huang LC, Lin RT, Chen CF, Chen CH, Hank Juo SH, Lin HF. Predictors of carotid intima-media thickness and plaque progression in a chinese population. J Atheroscler Thromb. 2016;23(8):940–9. [CrossRef]
  28. Zhang L, Fan F, Qi L, Jia J, Yang Y, Li J, et al. The association between carotid intima-media thickness and new-onset hypertension in a Chinese community-based population. BMC Cardiovasc Disord. 2019;19(269):1–6. [CrossRef]
  29. Carvalho ACA de, Oliveira LS de AF, Melo DP de, Crusoé- Rebello I, Campos PSF. Desenvolvimento de placas de ateroma em pacientes diabéticos e hipertensos. Rev Ciências Médicas e Biológicas. 2010;9(1):73. [CrossRef]
  30. Ji X, Leng X-Y, Dong Y, Ma Y-H, Xu W, Cao X-P, Hou X-H, Dong Q, Tan L. Yu J. Modifiable risk factors for carotid atherosclerosis: a meta-analysis and systematic review. Ann Transl Med. 2019nov;7(22):632–632. [CrossRef]
  31. Triches C, Schaan BDA, Gross JL, Azevedo MJ. Complicações macrovasculares do diabetes melito: Peculiaridades clínicas, de diagnóstico e manejo. Arq Bras Endocrinol Metabol. 2009;53(6):698–708. [CrossRef]
  32. Amarante RDM, Castro R, Lage AV, Cisternas JR. Diabetes Mellitus como fator de risco na aterogênese. Arquivos Médicos dos Hospitais e da Faculdade de Ciências Médicas da Santa Casa de São Paulo. 2007;52(3):87–93.
  33. Kamel H, Healey JS. Cardioembolic Stroke. Circ Res. 2017;120(3):514–26. [CrossRef]
Table 1. Frequencies and percentages of risk factors (n=5885).
Table 1. Frequencies and percentages of risk factors (n=5885).
Variable Absolut frequencies Percentage (%)
Personal history of stroke No 4073 69,2%
Yes 1812 30,8%
Personal history of AMI No 5464 92,8%
Yes 421 7,2%
Family history of stroke No 5816 98,8%
Yes 69 1,2%
Family history of AMI No 5844 99,3%
Yes 41 0,7%
Hypertension No 1098 18,7%
Yes 4787 81,3%
Dyslipidemia No 2867 48,7%
Yes 3018 51,3%
Diabetes mellitus No 4036 68,6%
Yes 1849 31,4%
Smoke habits No 4864 82,7%
Yes/ex-smoker 1021 17,3%
AF No 5025 85,4%
Yes 860 14,6%
Other cardioembolic heart disease No 5675 96,4%
Yes 210 3,6%
Legend: AMI – acute myocardial infarction; AF – atrial fibrilation.
Table 2. Frequencies and percentages of cervical Doppler ultrasound results (n=5885).
Table 2. Frequencies and percentages of cervical Doppler ultrasound results (n=5885).
Variables Absolut frequencies Percentage (%)
Carotid axes Normal 803 13,6%
Atheromatous plaques, without hemodynamic repercussions 3776 64,2%
Moderate stenosis 359 6,1%
Pre-occlusive stenosis 315 5,4%
Occlusion 197 3,3%
Other 435 7,4%
Vertebral axes Normal 5507 93,6%
Atheromatous plaques, without hemodynamic repercussions 36 1,2%
Moderate stenosis 15 0,3%
Pre-occlusive stenosis 14 0,3%
Occlusion 139 2,4%
Other 174 2,2%
Table 3. Crosstabs between non-modifiable risk factors and modifiable risk factors with cervical ecoDoppler results (n=5885).
Table 3. Crosstabs between non-modifiable risk factors and modifiable risk factors with cervical ecoDoppler results (n=5885).
Variables Cervical Doppler results
Normal
(%)
Pathologic with hemodinamic repercurssion <70% Pathologic with hemodinamic repercurssion >70%
Non-modifiable risk factors Sex female 6,9% 32,6% 2,3%
male 5,8% 46,7% 5,7%
Personal history of stroke No 10,6% 54,2% 4,4%
Yes 2,1% 25,1% 3,6%
Personal history of AMI No 12,1% 83,4% 7,3%
Yes 0,5% 5,8% 0,9%
Family history of stroke No 12,6% 78,2% 8%
Yes 0,2% 0,9% 0%
Family history of AMI No 12,6% 78,8% 7,9%
Yes 0,1% 0,6% 0%
Modifiable risk factors Hypertension No 3,4% 13,9% 1,4%
Yes 9,3% 65,3% 6,7%
Dyslipidemia No 6,9% 37,9% 3,9%
Yes 5,7% 41,5% 4,1%
Diabetes mellitus No 9,5% 53,5% 5,6%
Yes 3,2% 25,8% 2,4%
Smoke habits No 11,3% 65,1% 6,3%
Yes/ex-smoker 1,3% 14,2% 1,8%
AF No 11,1% 67,3% 7%
Yes 1,6% 12% 1%
Other cardioembolic heart disease No 12,4% 76,3% 7,7%
Yes 0,3% 3% 0,3%
Table 4. Relationship between non-modifiable risk factors and cervical Doppler ultrasound results (n=5885).
Table 4. Relationship between non-modifiable risk factors and cervical Doppler ultrasound results (n=5885).
Variable pairs p-value
Non-modifiable risk factos sex vs IMI 0,000
sex vs carotid axes/vertebral axes 0,000/0,000
age vs IMI* 0.002
age vs carotid axes/vertebral axes** 0.118/0.063
personal history of stroke vs IMI 0,000
personal history of stroke vs carotid axes/vertebral axes 0,000/0,000
personal history of AMI vs IMI 0,327
personal history of AMI vs carotid axes/vertebral axes 0,000/0,000
family history of stroke vs IMI 0,895
family history of stroke vs carotid axes/vertebral axes 0,083/1
family history of AMI vs IMI 0,928
family history of AMI vs carotid axes/vertebral axes 0,343/0,021
P-value calculation: Chi-square; * C-Pearson test; ** ETA.
Table 5. Relationship between modifiable risk factors and cervical Doppler ultrasound results (n=5885).
Table 5. Relationship between modifiable risk factors and cervical Doppler ultrasound results (n=5885).
Variable pairs p-value
Modifiable risk factors arterial hypertension vs IMI 0,183
arterial hypertension vs carotid axes/vertebral axes 0,000/0,016
DM vs IMI 0,316
DM vs carotid axes/vertebral axes 0,000/0,039
dyslipidemia vs IMI 0,418
dyslipidemia vs carotid axes/vertebral axes 0,000/0,131
smoke habits vs IMI 0,000
smoke habits vs carotid axes/vertebral axes 0,000/0,000
AF vs IMI 0,103
AF vs carotid axes/vertebral axes 0,000/0,743
other cardioembolic heart disease vs IMI 0,412
other cardioembolic heart disease vs carotid axes/vertebral axes 0,745/0,270
P-value calculation: Chi-square.
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