Abstract
Background and objective: Type 2 diabetes mellitus (T2DM) is a significant health problem that is becoming more prevalent worldwide. This study aimed to assess hemodynamic and morphological parameters in diabetic patients' foot arteries and compare them to those obtained in asymptomatic control group.
Materials and methods: This is a cross-sectional case-control study. B-mode ultrasound, color Doppler, and pulse wave Doppler were conducted to assess the dorsalis pedis arteries (DPAs) and posterior tibial arteries (PTAs). The morphological, total vascular diameter, wall thickness, and flow Doppler indices were measured. A total of 200 hundred participants were selected randomly using a random sampling technique. One hundred diabetic patients and 100 non-diabetic persons were determined.
Results: In diabetic patients, the overall grayscale diameter and wall thickness of foot arteries were statistically significantly larger than the asymptomatic group in the right DPA (p<0.01), left DPA (p<0.001), right PTA (p<0.001), and left PTA (p<0.001). In the diabetic group, the level of hemoglobin A1c (HbA1c) was positively correlated with blood flow resistive index (RI) in the right DPA (r=0.839; p<0.001), left DPA (r=0.801; p<0.001), right PTA (r=0.801; p<0.001), and left PTA (r=0.801; p<0.001). No significant differences were noted in both groups in blood flow Doppler parameters - pulsatility index (PI) and resistive index (RI).
Conclusion: Overall grayscale diameters of foot arteries are larger in the diabetes group than in the control group, indicating arterial wall thickening as an early indicator of diabetes-related alterations. PI of both DPA and RI of right DPA were increased in diabetic patients more than the control group. The level of glycosylatedhemoglobin A1c (HbA1c) was strongly linked with the blood flow resistive index in diabetes patients.
Keywords: resistive index, diameters, posterior tibial artery, dorsalis pedis artery, diabetes mellitus
Introduction
T2DM affects a large population, and the WHO predicts an increase in the number of adults with diabetes [1]. Type 2 diabetes mellitus (T2DM) is the most common form of diabetes. Since most diabetic patients (around 90-95%) suffer from type 2 diabetes mellitus (T2DM), the numbers will increase to 693 million by 2045 [1-3]. This disease affects multiple organs, particularly the blood vessels.
The most serious complication of type 2 diabetes is atherosclerosis, which results from a multistep process leading to cardiovascular disease, characterized by high morbidity and mortality [4]. Type 2 diabetes mellitus leads to an increase in the stiffness of peripheral vessels due to early-onset atherosclerosis [5]. A major manifestation of arterial stiffening is a change in the cyclic arterial pressure as it leads to increase systolic arterial pressure and decreased diastolic blood pressure [6].
There are various techniques and methods to assess the lower limb arteries, such as pulse measurements, ankle-brachial index (ABI), and the primary measure used in clinical diagnostics, Doppler ultrasound, conventional arteriography, CT angiography, and magnetic resonance angiography (MRA). Triplex ultrasound is considered the most crucial imaging method as it is non-invasive and provides an accurate hemodynamic evaluation of the foot arteries [7].
The purpose of this study was to examine the hemodynamic and morphological characteristics of two-foot arteries; posterior tibial artery (PTA) and dorsalis pedis artery (DPA) in patients with type 2 diabetes mellitus (DM) using triplex ultrasound and to compare the findings to those conducted in a control group.
Materials and methods
This was a cross-sectional case-control study, conducted in Shifa Alaleel Specialized Hospital, from February 2019 to October 2021. The study included 100 T2DM subjects as a diabetes group and 100 asymptomatic non-diabetic subjects as a control group. The T2DM group patients were well-controlled (HbA1c less than 7%) in stage I of the Fontaine classification for peripheral artery disorders, which means they had no clinical symptoms and normal ABI results. The participants in the control group were asymptomatic, with no limb ischemia or medical condition affecting the peripheral arteries, ABI normal values, normal glucose and lipid metabolism, no family history of diabetes or hypertension, and no smoking history. The exclusion criteria included patients with lower limb arterial disease, smoking habit, hypertension, and any other conditions affecting the arterial Doppler flow measurements. Scientific Research and Ethics Committee of Faculty of Radiological Science and Medical Imaging in Alzaiem Alazhari University granted an unconditional approval on February 26, 2019 (#AAU-FRSMI-0019/13). Written consent was taken from the study participants; then the data was collected by a data collection sheet designed to satisfy all the demographic and sonographic data variables using an ultrasound machine for scanning.
Statistical analysis
The data were analyzed using Statistical Package for Social Sciences (SPSS) statistics version 23 (Armonk, NY: IBM Corp.), the frequency performed for categorical variables, then descriptive statistic for continuous variables. Student's t-test was applied to compare the Doppler parameters and the equality of means in diabetes and control groups. Cross-tabulation was performed using chi-square test, while Pearson's correlation was used to correlate between the quantitative variables. P-values lesser than 0.05 were considered significant.
The Doppler and sonographic procedure
Triplex ultrasound examination has been performed using a Samsung H60 machine (Seoul, South Korea: Samsung) with a linear transducer with a primary frequency of 7.5 MHz. Doppler investigations of the DPA and PTA were conducted in a supine position with the limb flexed at an angle of 90°. The following ultrasound assessments of DPAs and PTAs were conducted: (i) B-mode assessment to assess the external diameter of foot arteries and wall thickness of the vessels; (ii) color Doppler imaging to evaluate the diameters of color vessels flow (Figure 1); (iii) spectral Doppler imaging to evaluate the resistivity and pulsatility of blood flow, such as pulsatility index (PI) and resistance index (RI), in addition to the shape of the waveform (Figure 2).
The machine was set for Doppler imaging of the lower limb arteries, DPA, and PTA. The patient was investigated in a supine position with the US transducer traced from the anterior ankle to the dorsal foot to evaluate the DPA. After identifying the foot arteries, diameter and wall thickness were measured in B-mode, color Doppler was activated, and flow lumen diameter was measured. For examining the PTA, the participants were investigated in lateral decubitus, and the probe was placed on the posterior aspect of the medial malleolus. The diameter and wall thickness of the arteries were measured in B-mode, then color Doppler activated, and flow lumen diameter was measured. Finally, a pulse wave was set to calculate the PI and RI values (Figure 3).
Results
This case-control non-interventional study was conducted in Khartoum, Sudan, to assess the foot arteries in preclinical diabetic patients using grayscale and Doppler ultrasound. The study included 200 patients, 100 diabetic persons in a diabetes group and 100 non-diabetic persons in a control group. There were no significant differences concerning demographic characteristics, such as mean age, gender, and ankle-brachial index (ABI) (Figure 4, Table 1). The mean age and ankle-brachial indexes are 56.13 and 55.26 years and 1.08±0.08, 1.08±0.07 for right and left ABI in diabetes and control groups, respectively. Significant differences were found in BMI for diabetes and control groups (30.22±4.11 vs. 25.59±1.86, respectively; p≤0.01). The mean duration and HbA1c of the diabetes group were 10.35±8.50 years and 6.63±0.45 mmol/mol, respectively (Table 1).
Table 1. Demographic characteristics of diabetes group (diabetic patients) and control group (non-diabetic patients).
Demographic characteristics | Diabetes group (mean±SD) | Control group (mean±SD) | p-Value |
Age (years) | 56.13±16.06 | 55.26±14.51 | 0.688 |
BMI (kg/cm2) | 30.22±4.11 | 25.59±1.86 | <0.001 |
HbA1c (mmol/mol) | 6.63±0.45 | - | - |
Duration (years) | 10.35±8.50 | - | - |
ABI right | 1.08±0.08 | 1.08±0.07 | 1.000 |
ABI left | 1.08±0.08 | 1.08±0.07 | 1.000 |
The blood vessel diameter and arterial thickness were significantly larger in the diabetes group as compared to the control group (Table 2, Figure 5). There were no significant differences in color Doppler lumen diameters between cases and controls (Table 2).
Table 2. Comparison of diameter and Doppler indexes of DPA and PTA in diabetes and control groups.
Diameters, thickness, and Doppler indexes of DPA and PTA | Diabetes group (mean±SD) | Control group (mean±SD) | p-Value |
Right DPA grayscale diameter (mm) | 2.81±0.44 | 2.64±0.36 | 0.003 |
Left DPA grayscale diameter (mm) | 2.90±0.49 | 2.63±0.31 | <0.001 |
Right DPA lumen diameter Doppler (mm) | 2.03±0.37 | 2.04±0.29 | 0.754 |
Left DPA lumen diameter Doppler (mm) | 2.05±0.38 | 2.03±0.29 | 0.666 |
Right DPA wall thickness (mm) | 0.58±0.15 | 0.38±0.08 | <0.001 |
Left DPA wall thickness (mm) | 0.56±0.12 | 0.38±0.08 | <0.001 |
Right DPA PI | 8.50±2.92 | 8.40±2.39 | 0.810 |
Left DPA PI | 8.65±2.72 | 8.62±2.48 | 0.929 |
Right DPA RI | 0.94±0.13 | 0.93±0.08 | 0.418 |
Left DPA RI | 0.93±0.13 | 0.93±0.08 | 0.574 |
Right PTA diameter (mm) | 2.70±0.46 | 2.49±0.31 | <0.001 |
Left PTA diameter (mm) | 2.67±0.45 | 2.42±0.34 | <0.001 |
Right PTA lumen diameter Doppler (mm) | 1.97±0.33 | 1.99±0.29 | 0.588 |
Left PTA lumen diameter Doppler (mm) | 1.93±0.33 | 1.93±0.25 | 0.981 |
Right PTA wall thickness (mm) | 0.58±0.15 | 0.38±0.08 | <0.001 |
Left PTA wall thickness (mm) | 0.56±0.13 | 0.38±0.08 | <0.001 |
Right PTA PI | 8.49±2.63 | 8.61±2.47 | 0.730 |
Left PTA PI | 8.59±2.63 | 8.57±2.47 | 0.951 |
Right PTA RI | 0.93±0.13 | 0.93±0.08 | 0.577 |
Left PTA RI | 0.94±0.14 | 0.93±0.09 | 0.574 |
The PI of both DPA and RI of right DPA increased in diabetic patients compared to the controls without significant difference (p>0.05) and so the RI in the left PTA (Table 2). The PI values of the right PTA decreased in diabetes group compared to the control group, while in left PTA the values increased in diabetes group compared to control group without significant difference (right PTA=8.49±2.63, left PTA=8.59±2.63 in diabetes group vs. right PTA=8.61±2.47, left PTA=8.57±2.47 in control group, respectively; p>0.05). The shape of waveforms of both arteries was evaluated. The waveform is triphasic in appearance in 86% of diabetic patients and biphasic in the rest 14% while in the control group, the shape of the waveform is triphasic high resistance in all cases (100%) as shown in Table 3. The study found that there was a strong significant correlation between HbA1c and blood resistive index in both DPA and PTA in diabetic patients (r=0.839, p≤0.01, r=0.801, p<0.01, respectively, for RI of right DPA and HbA1c and RI of left DPA, and both PTAs) (Table 4).
Table 3. The shape of a waveform in diabetes and control groups.
Shape of waveform | Diabetes group (frequency) | Control group (frequency) | p-Value |
Biphasic | 14 | 0 | <0.001 |
Triphasic | 86 | 100 | |
Total | 100 | 100 |
Table 4. Correlation between HbA1c and Doppler blood flow parameters of both foot arteries in diabetic patients.
Right DPA PI | Right DPA RI | Left DPA PI | Left DPA RI | Right PTA PI | Right PTA RI | Left PTA PI | Left PTA RI | ||
HbA1c | Pearson correlation | -0.001 | 0.839* | -0.092 | 0.801* | -0.071 | 0.801* | -0.102 | 0.801* |
Sig (2-tailed) | 0.992 | 0.000 | 0.361 | 0.000 | 0.484 | 0.000 | 0.315 | 0.000 | |
N | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Discussion
T2DM is a metabolic disorder known to increase the risk of diabetic cardiomyopathy and atherosclerotic cardiovascular disease (CVD), which can lead to heart failure through various mechanisms, such as myocardial infarction and chronic pressure overload conditions [8].
According to the recommendations of the American Diabetes Association in 2020, optimal diabetes control is defined by HbA1c levels of <7.0% [9]. A significant indicator of long-term glycemic control, HbA1c reflects the cumulative glycemic history over the preceding two to three months. In this study, HbA1c levels in the study group were within the acceptable range in diabetes treatment and showed an average of 6.63±0.45%, demonstrating relatively well-controlled T2DM.
The current study showed that the mean HbA1c levels were positively correlated with flow resistance of foot arteries (DPA and PTA). This indicated that an increase in HbA1c was associated with increased blood flow resistance. Previous studies demonstrated a linear relationship between the percentage of glycated hemoglobin and micro- and macroangiopathy type complications [10,11]. This might be attributed to chronic hyperglycemia, a predisposing risk factor to diabetes-related angiopathies [12]. The increase in flow resistance might also suggest changes in blood vessel walls (wall stiffening), which affects Doppler flow parameters [13].
On pulsed Doppler, normal waveform of the lower limb arteries was characterized by a triphasic flow pattern. In this study, the characteristic waveforms in the control group are triphasic in 100% of cases, but in diabetes group, the characteristic waveforms are triphasic in 86% of cases and biphasic waveforms in 14% of cases. Consistently, Leoniuk et al. identified triphasic waveforms in 69.6% and biphasic waveforms in 27.7% of well-controlled diabetic patients, while monophasic waveform features were seen in 4% of diabetic individuals [14]. In patients with severe diabetes and intermittent claudication, Shahhen and Sohail reported triphasic flow in as few as 38% of arteries and monophasic flow in as many as 21% of vessels [15].
The present study found that the B-mode diameter and wall thickness of DPA and PTA in type 2 DM were statistically significantly larger when compared to the control group. On the other hand, insignificant differences in lumen diameters were noted in Doppler measurements in both groups. This finding is consistent with Leoniuk et al., who found that the grayscale thickness and diameters of arteries were significantly increased in diabetes group compared to the control group while no significant differences in lumen diameter in color Doppler measurements [14]. Elias et al. reported a strong correlation between type 2 DM and arterial stiffness [16]. The increase in wall thickness and diameters is attributed to vessel wall remodeling due to the development of atherosclerosis. As a result, outward vessel wall remodeling is a compensatory mechanism that allows for the maintenance of a non-narrowed flow lumen while also serving as an early indicator of atherosclerotic lesions [17]. Outward remodeling keeps the lumen normal size in early atherosclerosis. In severe atherosclerosis, blood arteries shrink rather than expand, resulting in inward remodeling [18].
Doppler ultrasound investigations provide accurate blood flow parameters such as RI and PI. The study found that RI and PI have no significant difference between cases and control despite that there was significant increase in vessel wall thickness in diabetes group compared to the control group.
There are certain limitations to our study. First, we made a concerted effort to enroll individuals with well-controlled diabetes; however, there may be selection bias among those who are not. The study is a single-center study, and the sample size is insufficient compared to a multi-center study. This study is still helpful since it gives important data on morphological alterations and Doppler parameters of foot arteries in a preclinical state, which may aid in diabetic patient diagnosis and therapy planning.
Conclusions
The diabetes group has a considerably larger total diameter and wall thickness of arteries than the control group, indicating thickening of the artery wall as an early indicator of diabetes-related alterations. The RI has a positive linear correlation with HbA1c levels in diabetic patients. The Doppler flow parameters (RI and PI) increased in controlled diabetic without significant difference compared to asymptomatic non-diabetic control group.
The content published in Cureus is the result of clinical experience and/or research by independent individuals or organizations. Cureus is not responsible for the scientific accuracy or reliability of data or conclusions published herein. All content published within Cureus is intended only for educational, research and reference purposes. Additionally, articles published within Cureus should not be deemed a suitable substitute for the advice of a qualified health care professional. Do not disregard or avoid professional medical advice due to content published within Cureus.
The authors have declared that no competing interests exist.
Human Ethics
Consent was obtained or waived by all participants in this study. Scientific Research and Ethics Committee of Faculty of Radiological Science and Medical Imaging, Alzaiem Alazhari University issued approval #AAU-FRSMI-0019/13
Animal Ethics
Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue.
References
- 1.Genetics of type 2 diabetes: insights into the pathogenesis and its clinical application. Sun X, Yu W, Hu C. Biomed Res Int. 2014;2014 doi: 10.1155/2014/926713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Genes, genetics, and environment in type 2 diabetes: implication in personalized medicine. Kaul N, Ali S. DNA Cell Biol. 2016;35:1–12. doi: 10.1089/dna.2015.2883. [DOI] [PubMed] [Google Scholar]
- 3.IDF Diabetes Atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Cho NH, Shaw JE, Karuranga S, Huang Y, Fernandes JD, Ohlrogge AW, Malanda B. Diabetes Res Clin Pract. 2018;138:271–281. doi: 10.1016/j.diabres.2018.02.023. [DOI] [PubMed] [Google Scholar]
- 4.The diabetes mellitus-atherosclerosis connection: the role of lipid and glucose metabolism and chronic inflammation. Poznyak A, Grechko AV, Poggio P, Myasoedova VA, Alfieri V, Orekhov AN. Int J Mol Sci. 2020;21 doi: 10.3390/ijms21051835. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Cardiovascular disease and diabetes. [ Jan; 2022 ];American Heart Association. https://www.heart.org/en/health-topics/diabetes/diabetes-complications-and-risks/cardiovascular-disease--diabetes 2020
- 6.Killing me unsoftly: causes and mechanisms of arterial stiffness. Lyle AN, Raaz U. Arterioscler Thromb Vasc Biol. 2017;37:0. doi: 10.1161/ATVBAHA.116.308563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Chapter II: diagnostic methods. Caoa P, Ecksteinb HH, De Rango P, et al. Eur J Vasc Endovasc Surg. 2011;42:13–32. doi: 10.1016/S1078-5884(11)60010-5. [DOI] [PubMed] [Google Scholar]
- 8.Mechanisms of diabetic cardiomyopathy and potential therapeutic strategies: preclinical and clinical evidence. Tan Y, Zhang Z, Zheng C, Wintergerst KA, Keller BB, Cai L. Nat Rev Cardiol. 2020;17:585–607. doi: 10.1038/s41569-020-0339-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Standards of medical care in diabetes--2013. Diabetes Care. 2013;36:11–66. doi: 10.2337/dc13-S011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. Stratton IM, Adler AI, Neil HA, et al. BMJ. 2000;321:405–412. doi: 10.1136/bmj.321.7258.405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study. Adler AI, Stratton IM, Neil HA, et al. BMJ. 2000;321:412–419. doi: 10.1136/bmj.321.7258.412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Pathophysiology of type 2 diabetes mellitus. Galicia-Garcia U, Benito-Vicente A, Jebari S, et al. Int J Mol Sci. 2020;21 doi: 10.3390/ijms21176275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Usefulness of enhanced power Doppler imaging in monitoring acral microcirculation in type 2 diabetes mellitus and its complications. Ma F, Zhao B, Zhang H, et al. Cell Biochem Biophys. 2011;61:435–441. doi: 10.1007/s12013-011-9208-2. [DOI] [PubMed] [Google Scholar]
- 14.Doppler ultrasound detection of preclinical changes in foot arteries in early stage of type 2 diabetes. Leoniuk J, Lukasiewicz A, Szorc M, Sackiewicz I, Janica J, Lebkowska U. Pol J Radiol. 2014;79:283–289. doi: 10.12659/PJR.890486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.A Doppler-based evaluation of peripheral lower limb arterial insufficiency in diabetes mellitus. Shaheen R, Sohail S. https://pubmed.ncbi.nlm.nih.gov/20141688/ J Coll Physicians Surg Pak. 2010;20:22–25. [PubMed] [Google Scholar]
- 16.Associations between type 2 diabetes mellitus and arterial stiffness: a prospective analysis based on the Maine-Syracuse study. Elias MF, Crichton GE, Dearborn PJ, Robbins MA, Abhayaratna WP. Pulse (Basel) 2018;5:88–98. doi: 10.1159/000479560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Diabetes and vessel wall remodelling: from mechanistic insights to regenerative therapies. Spinetti G, Kraenkel N, Emanueli C, Madeddu P. Cardiovasc Res. 2008;78:265–273. doi: 10.1093/cvr/cvn039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Review: clinical aspects of vascular remodeling. Herity NA, Ward MR, Lo S, Yeung AC. J Cardiovasc Electrophysiol. 1999;10:1016–1024. doi: 10.1111/j.1540-8167.1999.tb01273.x. [DOI] [PubMed] [Google Scholar]