Literature DB >> 34413664

Assessment of Microcirculation in the Type 2 Diabetic and Impaired Glucose Tolerance Feet of Elderly Men by CEUS.

Xiaoyu Li1, Lin Wu2, Zhifang Yang1, Yunyun Hu1, Chun Zhou1, Ri Ji1.   

Abstract

OBJECTIVE: To evaluate the foot microcirculation in type 2 diabetes mellitus (T2DM) and impaired glucose tolerance patients (IGT) with contrast-enhanced ultrasound (CEUS).
METHODS: The study included 37 patients with T2DM but without diabetic foot (DM group), 15 patients with impaired glucose tolerance (IGT group) and 10 elderly males with normal fasting blood glucose (FBS) and negative glucose tolerance tests (control group). Color Doppler flow imaging (CDFI) and CEUS were performed on the right foot great toes for detecting the blood perfusion performance. CEUS images were recorded and parameters of CDFI and flow time-intensity curves (TICs) were analyzed by the Student's t-test.
RESULTS: There was no significant difference in CDFI parameters pulse index and peak systolic blood flow velocity (PSV) among the three groups (P >0.05). Compared with control group, CEUS images of IGT and DM groups showed lower microvascular density and were pale. Peak intensity (PI) and area under time-intensity curve (AUC) in control, IGT and DM groups were decreased gradually (PI 46.36±10.96 vs 35.26±11.65 vs 28.15±7.94, P = 0.001, AUC 5.12±1.02 vs 3.25±1.60 vs 2.81±1.20, P = 0.001). The arrival times (AT) and time to peak (TTP) tended to be increased with the extension of DM course, but the difference was not statistically significant (AT, P = 0.260, TTP, P = 0.481).
CONCLUSION: CEUS, as a noninvasive and valuable technique, could detect the alterations in foot microcirculation of DM and IGT patients.
© 2021 Li et al.

Entities:  

Keywords:  contrast-enhanced ultrasound; impaired glucose tolerance; microcirculation; type 2 diabetes mellitus

Year:  2021        PMID: 34413664      PMCID: PMC8369044          DOI: 10.2147/DMSO.S314727

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

Diabetic foot was one of the most common and serious complications of diabetes. It had been reported that up to 25% of diabetic patients were at risk of foot ulcer.1 Therefore, early detection of foot microcirculation changes in patients with diabetes mellitus (DM) was very important to prevent the occurrence of diabetic foot. Improving assessment of microcirculation in people with diabetic foot ulcers was an important area for research, as identified in international guidelines (Hinchliffe et al 2016). However, up to now, there was no ideal method to detect the microcirculation changes of feet in DM patients. Impaired glucose tolerance (IGT) was an early stage of diabetes. IGT could aggravate oxidative stress and damage vascular endothelial cells. Moreover, as an independent risk factor for cardiovascular disease morbidity and mortality, it could also induce the progression of a variety of cardiovascular diseases.1,2 Interventions on the life of people with IGT could delay the onset of type 2 diabetes, reduce microvascular complications, the incidence of cardiovascular and all-cause mortality, and extend life expectancy.3,4 It was known that IGT could cause changes in renal microcirculation,5–7 retinal microcirculation,8 myocardial microcirculation9 and skeletal muscle perfusion.9,10 However, as far as the authors were concerned, there was no relevant report on foot microcirculation of IGT patients. Contrast-enhanced ultrasound (CEUS) had been more commonly utilized in the clinical practice because it could effectively display microcirculation perfusion.11 In this study, our aim was to investigate the feasibility and clinical application value of CEUS for the assessment of foot microcirculation in type 2 DM (T2DM) and IGT, so as to provide a reliable method to detect abnormal microcirculation changes as early as possible.

Materials and Methods

Patients

All the patients were elderly males in the geriatric department of Ruijin Hospital from May 2014 to August 2017. The criteria for identifying patients with T2DM and IGT primarily followed the World Health Organization (WHO) guidelines in 1999. Thirty-seven patients were diagnosed with T2DM but without diabetic foot or any clinical symptoms of foot (mean age 72.08±9.20 years; range 61–82 years), while 15 patients with IGT (mean age 73.40±8.20 years; range 63–86 years). Patients in DM and IGT groups did not have diabetic microangiopathy, including diabetic nephropathy, neuropathy, or retinopathy. The control group included ten elderly men (mean age 74.2±9.93 years; range 57–87 years), who had normal fasting blood glucose (FBS) and negative glucose tolerance tests. None of the subjects had a lower extremity artery stenosis rate of more than 50%, as confirmed by vascular ultrasound.

Laboratory and Clinical Data

For all subjects, FBS, 2 hours postprandial blood glucose (2hPG), glycosylated hemoglobin (HbA1c),12,13 and blood lipid were detected within 24 hours before CEUS. Body mass index (BMI), cigarette smoking and drinking history, systolic blood pressure (SBP) and diastolic blood pressure (DBP) were recorded. Hypertension was defined mainly as referred to in the guidelines.14–16

Ultrasonic Technique

CDFI and CEUS examinations were carried out by MyLab Twice ultrasound system (Easto, Italy), with an LA 522 linear array transducer. The instrument parameters were set as follows: Frequency = 7.5 MHz, Mechanical index = 0.08, Depth = 3 cm, Focus = 1.6 cm, Gain = 50%. CDFI was performed on the right toe artery of all subjects, and the blood flow parameters PI and PSV were recorded. After that, the subjects were treated with the ultrasound contrast agents (UCAs) SonoVue® (Bracco SpA, Milan, Italy). UCAs suspension was prepared by shaking after adding 5 mL saline bolus; 4.8 mL suspension was administered intravenously through the antecubital vein within 3 to 4 seconds. A real‐time contrast‐enhanced imaging in B and CEUS mode was recorded immediately after injection. The probe was placed stably on the palmar side of the right toe so that the microvascular perfusion could be observed and recorded for 5 minutes. All the images were collected by an ultrasound doctor with more than 10 years’ experience.

CEUS Analysis

For CEUS images, all tissues except the phalanx were regions of interest (ROI) to be analyzed. Qontraxt v3.06 software (AMIDqX3, Bracco) was used for offline quantitative analysis to obtain the time‐intensity curves (TICs). The time of arrival (AT), time to peak (TTP), peak intensity (PI), and area under curve (AUC) of the right toe were recorded.

Statistical Analyses

SPSS 20.0 software package (SPSS, Chicago, IL, USA) was used for the statistical analysis of the obtained results. Categorical variables were expressed as percentages and evaluated by Chi-square test. Continuous variables were presented as mean±standard deviation (x±s) and estimated by Student’s t-test. Statistical significance level was considered as a p-value of <0.05.

Results

Clinical and Laboratory Data

Results of clinical and laboratory data of all subjects are shown in Table 1. Three groups were all matched, as there were significant differences in FBS, 2hPG and HbA1c (P <0.05). Patients with hypertension or hyperlipidemia in DM group were significantly more than those in IGT and control groups, but there was no statistical difference (P >0.05). No significant difference was also found in age, BMI, smoking and drinking history (P >0.05).
Table 1

Subjects’ Descriptive Clinical Characteristics; Data Were Mean±Standard Deviation (SD) and the Corresponding Number of Patients

Control (n=10)IGT (n=15)DM (n=27)P
Age (years)74.2±9.9373.40±8.2072.08±9.200.778
BMI kg/m223.41±2.0224.41±3.7125.48±2.380.076
Smoker (n)4580.439
Drinker (n)3180.256
FBS (mmol/L)4.88±0.214.97±0.416.59±1.71<0.01
2hPG (mmol/L)6.09±0.528.53±0.2111.15±3.0<0.01
HbA1c (%)5.61±0.305.70±0.376.92±0.93<0.01
Hypertension (n)812320.796
Hyperlipemia (n)69340.927

Abbreviations: BMI, body mass index; FBS, fasting blood glucose; 2hPG, 2 hours postprandial blood glucose; HbA1c, glycosylated hemoglobin.

Subjects’ Descriptive Clinical Characteristics; Data Were Mean±Standard Deviation (SD) and the Corresponding Number of Patients Abbreviations: BMI, body mass index; FBS, fasting blood glucose; 2hPG, 2 hours postprandial blood glucose; HbA1c, glycosylated hemoglobin.

CDFI Parameters Analysis

The blood flow parameters PI and PSV of right foot great toes in control, IGT and DM groups are summarized in Table 2. No significant difference was observed in PI (7.63±6.56 vs 5.18±4.72 vs 6.55±6.11, P = 0.646) and PSV (19.14±11.34 vs 18.33±9.92 vs 21.53±15.04, P = 0.222).
Table 2

CDFI Parameters of Right Foot Great Toes in DM, IGT and Control Groups

Control (n=10)IGT (n=15)DM (n=27)P
PI7.63±6.565.18±4.726.55±6.110.646
PSV(cm/s)19.14±11.3418.33±9.9221.53±15.040.222

Abbreviations: PI, pulse index; PSV, peak systolic blood flow velocity.

CDFI Parameters of Right Foot Great Toes in DM, IGT and Control Groups Abbreviations: PI, pulse index; PSV, peak systolic blood flow velocity.

CEUS Perfusion Images and Parameter Analysis of TICs

CEUS image of the normal elder male showed that the blood vessels of the right toe were dense and bright (Figure 1A), while those of IGT and DM patients showed sparse and dark (Figure 1B and C). Further, the darkest blood vessels of right toe were found in DM group.
Figure 1

(A) The right toe CEUS image of control group in a 61-year-old male showed dense and bright, and PI and AUC of TIC were the largest. (B) A 65-year-old male with IGT who had sparse and dark CEUS signal. (C) The CEUS of a 75-year-old male with T2DM showed darkest image, and the lowest PI and AUC among three groups.

(A) The right toe CEUS image of control group in a 61-year-old male showed dense and bright, and PI and AUC of TIC were the largest. (B) A 65-year-old male with IGT who had sparse and dark CEUS signal. (C) The CEUS of a 75-year-old male with T2DM showed darkest image, and the lowest PI and AUC among three groups. TICs parameter analysis results are shown in Table 3. Compared with the other control and IGT groups, PI of DM group was significantly shorter (46.36±10.96 vs 35.26±11.65 vs 28.15±7.94, P = 0.001). Similarly, the AUC of DM patients was the smallest among the three groups (2.81±1.20 vs 3.25±1.60 vs 5.12±1.02, P = 0.001). TTP and AT increased with the decrease of glucose tolerance, but there was no statistically significant difference among the control, IGT and DM groups (TTP 136671.8 ± 29121.07 vs 138534.53 ± 48667.88 vs 153940.65 ± 54951.81, P = 0.481; AT 46.00 ± 9.52 vs 50.33 ± 7.18 vs 53.59 ± 12.70, P = 0.260).
Table 3

TICs Parameters of Right Foot Great Toes in DM, IGT and Control Groups; Data Were Mean±Standard Deviation (SD)

Control (n=10)IGT (n=15)DM (n=27)P
Time to peak (second)136,671.8±29,121.07138,534.53±48,667.88153,940.65±54,951.810.481
Peak intensity (%)46.36±10.9635.26±11.6528.15±7.940.001
Area under curve (1/second)5.12±1.023.25±1.602.81±1.200.001
Arrival time (second)46.00±9.5250.33±7.1853.59±12.700.260
TICs Parameters of Right Foot Great Toes in DM, IGT and Control Groups; Data Were Mean±Standard Deviation (SD)

Discussion

Studies had shown that the probability of ulcer in patients with diabetes was as high as 19–34%.17 The number of diabetic patients with foot ulcer in the world would increase by 9.1–26.1 million annually.18 Diabetic foot ulcer was the precursor of amputation and death, but the dysfunction of distal microcirculation in diabetic patients often indicated the occurrence of ulcer. Therefore, every effort should be made to prevent ulcer by detecting the changes of foot microcirculation in diabetic patients as early as possible. Due to the small diameter of blood vessels in microcirculation (<0.3 mm), conventional imaging methods could not show them. Some novel and promising optical techniques for imaging of microcirculation in the diabetic foot were evaluated, however, such as laser Doppler perfusion imaging, laser speckle contrast imaging, photoacoustic imaging and hyperspectral imaging.19 However, the relevant clinical verifications and values had not been carried out. The current clinical methods such as laser Doppler flowmetry,20,21 nailfold microcirculation index22,23 and capillaroscopy24,25 were all suitable for detecting capillary microcirculation in finger-tip skin due to the limitation of penetration, but could not detect capillary microcirculation in subcutaneous fat and muscle tissue. Doppler flow parameters were also not sensitive indicators of changes in the natural history of diabetes in early periods.26 Ma et al27 adopted enhanced power Doppler imaging (e-Flow) to display the acral arterioles (pulps and nail beds of fingers and toes) and the microcirculatory status. They found that although e-Flow was superior to the conventional ultrasound in improving the sensitivity of blood flow signals, there was uncertainty in the display of microcirculation. CEUS had been used for the investigation of microvascular function and impairment.28,29 With the microbubble size range of 1.5–2.5 μm, which was smaller than the capillary diameter, the capillaries could be entered to show microcirculation. Based on it, UCAs could provide the excellent spatial and temporal evaluation of lesion vascularity28 to reflect the microcirculation of the lesion effectively. Thus, CEUS of foot toes could reflect the foot microcirculation directly and vividly. In this study, we took the elderly male patients with T2DM and IGT as subjects to evaluate the feasibility and value of CEUS in detecting microcirculation changes of early diabetes. Diabetes complications occurred in none of these patients. And no one included in the study had the plaque stenosis rate of more than 50% in lower extremity arteries. It meant that lower extremity arterial stenosis had no effect on peripheral microcirculation hemodynamics. Blood flow parameters of foot toe arteries were also performed in all subjects before CEUS, but there was no significant difference of PI and PSV among the three groups (P >0.05). The reason might be that CDFI parameters could only detect the blood flow of small vessels, but could not observe the perfusion of capillary microcirculation. Therefore, the change of early microcirculation in diabetes could not be displayed by CDFI. However, CEUS could indicate abnormal changes in the microcirculation of the toes of IGT and DM patients through the parameters of TICs. As the results of the present study showed, PI (reflecting the blood flow of ROI) and AUC (reflecting the blood flow volume of ROI) in IGT and DM group were significantly lower than those in control group. This indicated that the microcirculation of the foot toes had changed in IGT and DM patients without obvious stenosis of the lower extremity arteries. As a transitional stage of DM, IGT had showed the similar changes of foot microcirculation with DM patients by CEUS. Thus, for IGT patients, we should pay much more attention to the possibility of diabetes complications caused by abnormal blood glucose regulation and provide active monitoring suggestions consciously. Compared with IGT, PI and AUC of DM patients were further decreased. It showed that the degree of foot microcirculation dysfunction was related to the course. The longer the disease course was, the worse the foot microcirculation was. Previous studies had found that the contrast perfusion time of calf skeletal muscle microvessels in DM patients was prolonged.30,31 AT and TTP of foot toes in the control, IGT and DM groups were gradually prolonged, but there was no statistical difference (p >0.05). The reason might be related to the small sample size of this study. In addition, height, stroke volume and other factors might also affect the AT and TTP parameters. A few literatures had suggested that the TICs quantitative parameters of CEUS could be affected by the UCAs dose, ROI size, the placement position and instrument setting. In order to get relatively reliable quantitative parameters, the same ultrasound instrument and CEUS quantitative analysis software were adopted throughout the study. Furthermore, the dose and concentration of UCAs and the instrument setting were always kept constant during the examination, so as to obtain perfusion data with comparability and clinical reference value. There were also some limitations in the study. One was the small size of the sample. The other was that females with DM were not included in this study because there were few female patients in the review, so they were excluded to avoid gender bias. In addition, the changes of microcirculation of toes in different time of DM were not observed. Considering that the lesions of DM were gradually accumulating and aggravating, the manifestations of microcirculation might be different in different stages of the disease. However, it needed to be grouped and compared according to a certain time node, which was conducive to further finding the subtle or sensitive relationship between toe microcirculation and the course of DM.

Conclusions

CEUS could be used to detect the foot microvascular dysfunction of patients with T2DM and IGT, which provided a simple and reliable method for clinical evaluation of foot microcirculation in the early stage of diabetes.
  29 in total

1.  Dynamic evaluation of blood flow microcirculation by combined use of the laser Doppler flowmetry and high-speed videocapillaroscopy methods.

Authors:  Viktor Dremin; Igor Kozlov; Mikhail Volkov; Nikita Margaryants; Andrey Potemkin; Evgeny Zherebtsov; Andrey Dunaev; Igor Gurov
Journal:  J Biophotonics       Date:  2019-02-07       Impact factor: 3.207

2.  Less clarity as the fog begins to lift.

Authors:  Anoop S V Shah; David E Newby
Journal:  Heart       Date:  2014-06-04       Impact factor: 5.994

3.  Impaired glucose tolerance, but not impaired fasting glucose, is a risk factor for early-stage atherosclerosis.

Authors:  T Ando; S Okada; Y Niijima; K Hashimoto; H Shimizu; T Tsuchiya; M Yamada; K Ohshima; M Mori; K Ono
Journal:  Diabet Med       Date:  2010-12       Impact factor: 4.359

4.  Abnormal retinal vascular reactivity in individuals with impaired glucose tolerance: a preliminary study.

Authors:  Sunni R Patel; Srikanth Bellary; Lu Qin; George M Balanos; David McIntyre; Doina Gherghel
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-08-01       Impact factor: 4.799

Review 5.  Contrast enhanced ultrasound: A review of radiology applications.

Authors:  David B Erlichman; Amanda Weiss; Mordecai Koenigsberg; Marjorie W Stein
Journal:  Clin Imaging       Date:  2019-12-27       Impact factor: 1.605

Review 6.  Novel Optical Techniques for Imaging Microcirculation in the Diabetic Foot.

Authors:  Onno A Mennes; Jaap J van Netten; Riemer H J A Slart; Wiendelt Steenbergen
Journal:  Curr Pharm Des       Date:  2018       Impact factor: 3.116

7.  Ocular blood flow analysis detects microvascular abnormalities in impaired glucose tolerance.

Authors:  Catherine E Quinn; Paul K Hamilton; Aaron J McCann; Christina E Agnew; Auleen M Millar; Christopher J Lockhart; Mark T Harbinson; Gary E McVeigh
Journal:  Microcirculation       Date:  2011-10       Impact factor: 2.628

8.  Effectiveness and feasibility of nailfold microcirculation test to screen for diabetic peripheral neuropathy.

Authors:  Guotao Hu; Fanglong Zhai; Feifei Mo; Li He; Weiya Shen; Hailan Wang
Journal:  Diabetes Res Clin Pract       Date:  2017-06-13       Impact factor: 5.602

9.  Type 2 diabetes does not account for ethnic differences in exercise capacity or skeletal muscle function in older adults.

Authors:  Siana Jones; Therese Tillin; Suzanne Williams; Sophie V Eastwood; Alun D Hughes; Nishi Chaturvedi
Journal:  Diabetologia       Date:  2019-12-09       Impact factor: 10.122

Review 10.  Recent Updates and Advances in the Use of Glycated Albumin for the Diagnosis and Monitoring of Diabetes and Renal, Cerebro- and Cardio-Metabolic Diseases.

Authors:  Rosaria Vincenza Giglio; Bruna Lo Sasso; Luisa Agnello; Giulia Bivona; Rosanna Maniscalco; Daniela Ligi; Ferdinando Mannello; Marcello Ciaccio
Journal:  J Clin Med       Date:  2020-11-11       Impact factor: 4.241

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