FACTOR FOR CARDIOVASCULAR DISEASE
Axnorov Kamoliddin Suvankulovich – teacher at the Abu Ali ibn Sino
Technical School of Public Health in Kattakurgan
Rakhmatillayev Boburjon Sobirjon ugli – teacher at the Abu Ali ibn Sino
Technical School of Public Health in Kattakurgan
Rakhmonov Fariz Zafarjonovich – student of Paediatrics Faculty of
Samarkand State Medical University
Abstract. For many decades’ obesity has been one of the main risk factors for the development of cardiovascular pathology. Despite the efforts of scientists and physicians of various specialities, the burden of this pathology continues to increase its contribution to morbidity and mortality from cardiovascular disease. Numerous anthropometric criteria of obesity are well studied, simple and inexpensive means of diagnosing overweight in the population. However, their accuracy is relatively low. In particular, body composition, which is key to cardiovascular risk stratification, cannot be determined using these criteria. Despite the relatively short period of use of ultrasound methods for the diagnosis of obesity, convincing evidence of their high accuracy and effectiveness in predicting cardiovascular risk has already been obtained. Given the continuous improvement of ultrasound machines, these criteria should be incorporated into routine clinical and research practice.
This literature review considers the main parameters used in ultrasound diagnosis of obesity, their contribution to the development of both traditional risk factors and directly cardiovascular diseases.
Key words: obesity, ultrasound diagnosis, cardiovascular diseases, risk factors, visceral fat.
Аннотация. На протяжении многих десятилетий ожирение является одним из основных факторов риска развития сердечно-сосудистой патологии. Несмотря на усилия ученых и врачей различных специальностей, бремя этой патологии продолжает увеличивать свой вклад в заболеваемость и смертность от сердечнососудистых заболеваний. Многочисленные антропометрические критерии ожирения являются хорошо изученными, простыми и недорогими средствами диагностики избыточной массы тела в популяции. Однако их точность относительно невысока. В частности, состав тела, который является ключевым для стратификации сердечно-сосудистого риска, не может быть определен с помощью этих критериев. Несмотря на относительно небольшой срок использования ультразвуковых методов для диагностики ожирения, уже получены убедительные доказательства их высокой точности и эффективности в прогнозировании сердечно-сосудистого риска. Учитывая постоянное совершенствование ультразвуковых аппаратов, эти критерии должны быть внедрены в рутинную клиническую и исследовательскую практику.
В данном обзоре литературы рассмотрены основные параметры, используемые в ультразвуковой диагностике ожирения, их вклад в развитие как традиционных факторов риска, так и непосредственно сердечно-сосудистых заболеваний.
Ключевые слова: ожирение, ультразвуковая диагностика, сердечнососудистые заболевания, факторы риска, висцеральный жир.
Obesity is a major risk factor (FR) for mortality and morbidity worldwide [1]. The number of obesity-related deaths has increased threefold over the past decade and currently accounts for almost 28 million deaths each year [2]. At the same time, almost 70% are caused by cardiovascular disease (CVD) [1].
Obesity is a chronic disease associated with various metabolic disorders, the prevalence of which is constantly increasing in both children and adults. It has been proven that adipose tissue is capable of secreting inflammatory mediators including interleukin-6, -1β, tumour necrosis factor-α, leptin, which subsequently reduce adiponectin production, thereby inducing a pro-inflammatory state. In obesity, adipose tissue synthesises and releases large amounts of hormones and cytokines that alter metabolic processes, contributing to atherosclerotic plaque formation. Endothelial dysfunction is an initiator of CVD progression in obesity [3]. Because of the association with other risk factors, overweight and obesity contribute to the development of CVD and coronary heart disease (CHD) in particular [4].
In most studies, obesity is more commonly described using body mass index (BMI) [2]. BMI is a practical and convenient measure for identifying obesity in clinical practice and epidemiological studies, but does not reflect the distribution of adipose tissue [5].
While BMI reflects the combination of fat and muscle mass, anthropometric parameters such as waist circumference (WC) and waist-hip index (WHI) are markers of central obesity. According to some researchers, OT and OT/HB are more indicative of an unfavourable metabolic profile compared to BMI [6, 7]. Another indicator, visceral adiposity index (VIA), is not yet popular enough among researchers and practitioners, but has already established itself as a reliable indicator of adipose tissue dysfunction and the risk of cardiometabolic diseases. Thus, an increase in BMI more than BMI or OT was associated with myocardial infarction, intima-media complex thickness, carbohydrate metabolism and renal function disorders [8].
It has already been shown that obesity, defined on the basis of BMI alone, is a heterogeneous condition with different cardiovascular and metabolic manifestations in different individuals. Adipose tissue is an extremely active metabolic organ involved in interactions between different systems, and its increase contributes directly or indirectly to CVD. Inadequate increase in subcutaneous adipose tissue on the background of eating disorders leads to visceral and ectopic fat deposition, inflammatory adipokine dysregulation and insulin resistance. Conversely, the distribution of adipose tissue in the lower body depot may act as a metabolic buffer and protect other tissues from lipotoxicity caused by excess lipids and ectopic fat [9].
Anthropometric indices such as BMI, OT, OT/OB, and BMI are widely used to diagnose obesity due to their ease of use, low cost, and lack of radiation exposure. However, given the differences between the components of body weight, the use of these indices alone does not always reconstruct a complete picture, which consequently makes adjustments in cardiovascular risk prediction [10, 11].
Today in clinical practice and research work, radial methods of adipose tissue visualisation are increasingly used - magnetic resonance imaging (MRI), computed tomography (CT), densitometry, ultrasound (USG). Their undoubted advantage is their high accuracy in differentiating fat deposits. However, along with the advantages, there are also limitations. For example, MRI and CT scans are expensive and have high radiation exposure. Densitometry has high accuracy along with CT and MRI, is relatively inexpensive, does not carry a high radiation load, and is the leading method for diagnosing osteoporosis. However, in many regions there is still a shortage of devices, so the method has not gained popularity in the diagnosis of obesity. Ultrasound is an inexpensive method that avoids radiation exposure, but its accuracy and reliability are still debated. Also, the lack of standardised protocols, age and ethnic norms may be an obstacle to the widespread adoption of this method in clinical practice [10, 12].
Therefore, the aim of this review was to analyse ultrasound parameters of obesity for the purpose of cardiovascular risk stratification.
One of the first and most studied parameters used in the ultrasound assessment of obesity is intraabdominal adipose tissue thickness (IAFT) assessed using a convex transducer (3.5-5 MHz). However, there is no consensus on which anatomical parameters should be considered as a reference for ultrasound [10, 13, 14]. Most researchers measure IAFT from the posterior wall of the rectus abdominis muscle (i.e., from the linea alba) to the anterior wall of the aorta [12, 14-16]. Other authors have measured IAFT from the rectus abdominis muscle to the anterior wall of the lumbar spine, the posterior wall of the aorta or the lumbar muscle [10, 11, 14], or as the distance between the peritoneum and the lumbar region [14]. Measurements were always performed in the supine position with arms along the body. Some scientists have shown that technical aspects play an important role in the accuracy and reproducibility of measurements: it is very important to perform measurements on an empty stomach, on the breath, and to control the pressure of the transducer on the skin [16].
In general, most authors agree that IAFT is better suited for the assessment of regional obesity and shows good prognostic value for the detection of CVD risk [20].
The Abdominal wall fat index (WFI) is one of the most widely used sonographic indices for regional assessment of obesity. It is calculated as a ratio of two values: preperitoneal fat thickness (PFT)/minimum subcutaneous fat thickness (MinASFT). These parameters are assessed with a linear transducer in the upper abdomen with a longitudinal scan along the midline, just below the median process, as the basic distance between the anterior surface of the peritoneum covering the liver to the posterior surface of the white line (preperitoneal fat thickness) and the distance between the anterior surface of the white line and the skin-fat barrier (minimum abdominal subcutaneous fat thickness). Based on WFI, obesity can be categorised into visceral (WFI >1) and subcutaneous (WFI <1) types [10].
Preperitoneal fat thickness (PFT). PFT was introduced by Suzuki R, et al. in 1995 as part of WFI [21]. It is assessed using a linear transducer (7.5 MHz) placed longitudinally at the level of the medulla as the maximum distance between the anterior surface of the peritoneum covering the liver and the posterior surface of the white line [14].
In addition, recent studies have shown that PFT can predict the presence and severity of CHD and could be associated with arterial stiffness in obese adolescents [23].
Subcutaneous adipose tissue (SAT). Two parameters are used to measure SAT thickness using ultrasound: MinASFT (minimum subcutaneous fat thickness) and MaxASFT (maximum abdominal subcutaneous fat thickness) [14, 24]. MinASFT is measured with a linear transducer (7.5 MHz) as the distance between the anterior surface of the white line and the skin-fat barrier (hypodermis) [17, 24].
Epicardial adipose tissue (EAT) thickness. EAT is part of the visceral adipose tissue located between the heart and the pericardium. Because of its anatomical proximity to the coronary arteries, increased EAT thickness actively contributes to the development and progression of coronary atherosclerosis. EAT has endocrine, paracrine, vasocrine and inflammatory effects and is associated with metabolic syndrome, insulin resistance, CHD and arterial hypertension. Consequently, the measurement of EAT thickness has gained importance in identifying the risks of CHD progression [37-39]. There is evidence of an association between EAT and cardiofibrosis. For example, a 1.33-fold and 1.34-fold increase in left and right ventricular EAT thickness, respectively, increases the risk of myocardial fibrosis in patients with myocardial infarction [42].
In general, ultrasound is a fast, inexpensive and widely available technology, the capabilities of which are not yet fully utilised in the diagnosis of obesity, even though it has been demonstrated to be highly accurate and capable of differentiating visceral and subcutaneous fat depots and assessing adipose tissue stores in organs (liver and muscle). The association between visceral fat thickness measured by ultrasound and metabolic FRs of CVD is more pronounced than the association between these factors and anthropometric parameters (BMI and OT) [10, 11].
Ultrasound can be performed from an early age, making this technique a valuable method to assess possible obesity-related FRs at a very early stage and in individuals of any body weight. Furthermore, an additional advantage is the possibility to assess the quality of skeletal muscle, which is useful in the diagnosis of sarcopenia in the elderly [10, 11].
Thus, the considered body fat content indices determined by ultrasound are very accurate and effective in predicting cardiovascular risks. At the same time, there are a number of issues related to the insufficient study of this method. The role of subcutaneous adipose tissue in the development of CVDs and their FRs is not fully defined. Therefore, full-fledged large-scale epidemiological studies are needed to determine the threshold values of obesity rates among different ethnic groups. It is also necessary to draw the attention of physicians and researchers of all specialities to the problem of underdiagnosis of obesity using ultrasound techniques.
Literature:
1. Ansaldo AM, Montecucco F, Sahebkar A, et al. Epicardial adipose tissue and cardiovascular disease. Int J Cardiol. 2019; 278:254-60.
2. Bazzocchi A, Filonzi G, Ponti F, et al. The role of ultrasonography in the assessment of abdominal fat: an analysis of technical and methodological issues. Acad Radiol. 2013; 20:1278-85.
3. Bazzocchi A, Ponti F, Diano D, et al. Abdominal obesity by ultrasonography: a "pocket" database for a reference standard in Italians. Prim Care Diabetes. 2014; 8:358- 64.
4. Bertaso AG, Bertol D, Duncan BB, Foppa M. Epicard
5. Bertoli S, Leone A, Vignati L, et al. Metabolic correlates of subcutaneous and visceral abdominal fat measured by ultrasound: comparison with waist circumference. Nutr J. 2016; 15:2.
6. Buhr M., Bocker K., Manns M. et al. Decreased hepatic secretion of KBP4 correlates with decreased hepatic glucose production, but is not associated with insulin resistance in patients with cirrhosis // J. Clin. Clin. Endocrinol. - 2009; 70 (1): 152-161.
7. Chazova I.E., Mychka V.B. Metabolic syndrome // Consilium medicum. - 2002; 4: 11: 557-592.
8. Dedov I.I., Melnichenko G.A., Romantsova T.I. Pathogenetic aspects of obesity // Obesity and Metabolism. - 2004; 1: 3-9.
9. Despres J.-P., Poirier P., Bergeron J. et al. From individual risk factors and the metabolic syndrome to global cardiometabolic risk // Eur. Heart. J. - 2008; 10 (suppl B): 24-33.
10. Hiremath R, Ibrahim J, Prasanthi K, et al. A comparative study of ultrasonographic and anthropometric measurements of regional adipose tissue in metabolic syndrome. J Clin Diagn Res. 2017;11(8):TC01-TC05.
11. Kokov A.N., Brel N.K., Masenko V.L. et al. Quantitative assessment of visceral fat depot in patients with ischaemic heart disease using modern tomographic methods. Complex issues of cardiovascular diseases. 2017;(3):113-9. (In Russ.).
12. Logacheva IV, Ryazanova TA, Makarova VR The role of intra-abdominal adipose tissue in overweight and obese patients with comorbid cardiac pathology. Atherosclerosis and Dyslipidaemia. 2020;2(39):33-42. (In Russ.).
13. Mauad FM, Chagas-Neto FA, Benedeti ACGS, et al. Reproducibility of abdominal fat estimation by ultrasound and computed tomography. Radiol Bras. 2017;50(3):141-7. doi:10.1590/0100-3984.2016.0023.
14. Meenakshi K, Rajendran M, Srikumar S, Chidambaram S. Epicardial fat thickness: A surrogate marker of coronary artery disease - Assessment by echocardiography. Indian Heart J. 2016;68(3):336-41.
15. Melnichenko G.A. Obesity in the practice of endocrinologist // RMZh. - 2001; 9 (2): 25-29.
16. Müller MJ, Braun W, Enderle J, et al. Beyond BMI: conceptual issues related to overweight and obese patients. Obes Facts. 2016; 9:193-205. doi:10.1159/000445380.
17. Obesity. Report of the Royal College of Physicians of London, J.K. // Coll Physicians Lond, 1995; 37: 15-21.
18. Oh J, Kim SK, Shin DK, et al. Simple ultrasound correlation of visceral fat. Ultrasound Med Biol. 2011;37(9):1444-51.
19. Petunini, N.A. The role of weight reduction in obese patients in the prevention of the development of diabetes mellitus type 2 // Obesity and Metabolism. - 2007; 1: 2-8.
20. Ponti F, De Cinque A, Fazio N, et al. Ultrasound imaging stethoscope for body composition assessment. Quant Imaging Med Surg. 2020;10(8):1699-722.
21. Rakhmonov Z.M. et al, Morphological properties of biliary receptors // New Day in Medicine. - 2022.-6 (44). - С. 195-197.
22. Rakhmonova H.N., Rakhmonov Z.M. et al. Morpho-functional changes in spinal neurons after experimental cholecystectomy in mongrel dogs, American Journal of Medicine and Medical Sciences p-ISSN: 2165-901X e-ISSN: 2165-9036 2023; 13(12): 1904-1907
23. Rakhmonova Habiba Nurullaevna, & Rakhmonov Zafarjon Mamadievich. (2023). Innervation relationships of the nervous apparatus of the gallbladder with spinal and rheumatic nerve ganglia (literature review). Eurasian medical scientific periodical, 18, 105-108.
24. Rostamzadeh A, Khademvatani K, Seyed Mohammadzadeh MH, et al. Association of epicardial fat thickness assessed by echocardiography with severity of coronary artery disease. J Cardiovasc Thorac Res. 2020;12(2):114-9.
25. Shambu SK, Desai N, Sundaresh N, et al. A study of correlation between epicardial fat thickness and severity of coronary heart disease. Indian Heart J. 2020;72(5):445-7.
26. Suzuki R, Watanabe S, Hirai Y, et al. Abdominal wall fat index assessed by ultrasonography to estimate the ratio of visceral to subcutaneous abdominal fat. Am J Med. 1993;95(3):309-14.
27. Voskresenskaya T.G. Causes of ineffective treatment of obesity and ways to overcome it // Probl. Endocrinol. - 2006; 52 (6): 37-42.
28. Voskresenskaya T.G. Eating behaviour disorders in obesity and their correction // Obesity and Metabolism - 2004; 4: 2-7.
본문은 PDF에서 자동으로 추출되었으며 부정확할 수 있습니다.