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Journal of Chinese Integrative Medicine ›› 2009, Vol. 7 ›› Issue (10): 929-933.doi: 10.3736/jcim20091004

• Original Clinical Research • Previous Articles     Next Articles

Correlative analysis of the parameters of eTRACKING detection of femoral artery and the syndrome types of traditional Chinese medicine in type 2 diabetic patients

Xin Penga,Hao-qiang Yinb,Rong-juan Xuc,Hu-sheng Xiaob   

  1. a Department of Demonstration of Traditional Chinese Medicine,Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
    b Department of Ultrasound, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
    c Department of Endocrinology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
  • Received:2009-06-09 Accepted:2009-09-02 Online:2009-10-20 Published:2009-10-15
  • Contact: Hao-qiang Yin E-mail:silverival@yahoo.com.cn

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Objective

To explore the correlation between the parameters of eTRACKING detection of femoral artery and the syndrome types of traditional Chinese medicine (TCM) in type 2 diabetic patients so as to provide clinical evidence for early prevention and treatment of diabetic lower extremity arterial disease.
Methods

A total of 147 cases of type 2 diabetic patients were included. Basic data and TCM clinical information were collected, and eTRACKING detection of common femoral arteries was performed. Differentiation of symptoms and signs for classification of TCM syndromes was performed in all patients. The correlations between TCM syndrome and pressure-strain elastic modulus (Ep), stiffness parameter β, arterial compliance (AC), pulse wave velocity β (PWVβ), and augmentation index (AI) in common femoral arteries were observed.
Results

In the patients with deficiency of both yin and yang, the Ep value was higher than that in the patients with deficiency of both qi and yin, the stiffness parameter β was higher than that in the other three syndrome types (deficiency of both qi and yin, excessive heat due to yin deficiency, accumulation of damp-beat in spleen), the AC value was lower than that in the patients with excessive heat due to yin deficiency, the PWVβ value was higher than that in the patients with excessive heat due to yin deficiency and deficiency of both qi and yin, and the AI value was higher than that in the patients with excessive heat due to yin deficiency. The stiffness parameter β in the patients with deficiency of both qi and yin was higher than that in the patients with accumulation of damp-heat in spleen. In the patients with blood stasis, the Ep value was higher and the AC value was lower than that in the patients without blood stasis.
Conclusion

The decrease of elasticity in lower extremities can be detected by eTRACKING. This study reveals that type 2 diabetic patients with deficiency of both yin and yang, accumulation of damp-heat in spleen and blood stasis have more severe lower extremity arteriosclerosis. In eTRACKING parameters, stiffness parameter β, AC and PWVβ may become the objective indexes in evaluating early diabetic lower extremity arteriosclerosis

Key words: Type 2 diabetes mellitus, Syndrome type, Femoral artery, Echotomography

Table 1

Baseline data in diabetes patients with different syndrome type"

Baseline data Excessive heat due
to yin deficiency		 Accumulation of
damp-heat in spleen		 Deficiency of
both qi and yin		 Deficiency of
both yin and yang		 Total
Cases (％) 12 (8.16) 26 (17.69) 67 (45.58) 42 (28.57) 147 (100.00)
Gender (male/female） 6/6 12/14 35/32 21/21 74/73
Age ($\bar{x}$±s, year） 62.08±9.89 63.23±14.33 63.45±12.35 67.33±11.81 64.41±12.42
Course of diabetes ($\bar{x}$±s, year) 1.82±3.12 7.87±7.99* 8.20±6.23** 11.87±6.33**△ 8.69±6.89

Table 2

The levels of Ep, stiffness parameter β, AC, PWVβ, and AI in diabetes patients with different syndrome type"

Item n Excessive heat due
to yin deficiency		 Accumulation of
damp-heat in spleen		 Deficiency of
both qi and yin		 Deficiency of
both yin and yang
Ep [Median (Q25, Q75), kPa] 12 91.55
(60.48, 193.13)		 95.05
(68.13, 169.88)		 119.50
(71.60, 169.80)		 144.35
(82.98, 231.93)▲
Stiffness parameter β ($\bar{x}$±s) 26 6.49±3.10 6.63±1.88 8.75±4.25△△ 11.07±5.80*△△▲
AC [Median (Q25, Q75), mm2/kPa] 67 1.24 (1.03, 1.72) 0.99 (0.72, 1.18) 0.86 (0.58, 1.40) 0.82 (0.44, 1.22)**
PWVβ [Median (Q25, Q75), m/s] 42 5.40 (4.70, 7.33) 6.10 (5.00, 7.70) 6.40 (5.10, 7.70) 7.20 (5.40, 9.20)*▲
AI [Median (Q25, Q75), ％] 12 10.25 (0.93, 20.08) 10.90 (1.88, 32.65) 14.20 (1.70, 28.90) 20.60 (3.38, 28.70)*

Table 3

The eTRACKING parameters in diabetes patients with and without blood stasis syndrome"

Item Non-blood stasis (n=32) Blood stasis (n=115)
Ep [Median (Q25, Q75), kPa] 93.30 (56.63, 168.83) 119.50 (80.70, 185.00)□
Stiffness parameter β [Median (Q25, Q75)] 6.20 (4.25, 12.83) 8.30 (5.60, 12.90)
AC [Median (Q25, Q75), mm2/kPa] 1.11 (0.63, 1.86) 0.91 (0.56, 1.24)□□
PWVβ [Median (Q25, Q75), m/s] 6.00 (4.70, 7.80) 6.50 (5.30, 8.10)
AI ($\bar{x}$±s, ％) 17.03±14.97 16.54±17.32
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