STUDY OF BLOOD STASIS SYNDROME ON STROKE PATIENTS IN THE RECOVERY STAGE

Huynh Kim Ngan Nguyen 1,, Thi Anh Thu Nguyen 1, Ngoc Chau Bao Nguyen 1, Thi Ngoc Minh Pham 1, Hien Lam Lu1
1 Can Tho University of Medicine and Pharmacy

Main Article Content

Abstract

  Background: The blood stasis signs of tongue in stroke patients in the recovery stage need surveying and defining, classifying in detail. Objectives: To evaluate the presence of three blood stasis signs in stroke patients in the recovery stage. Materials and methods: Cross-sectional study based on 43 persons who were inpatients in Can Tho Traditional Medicine Hospital. Results: In 43 subjects, males account for 51%, and females make up 49%. The mean of age is 59. Regarding tongue’s substance, 95.2% of patients have dark color tongues, and 2.4% of patients have the purple and/or blue tongue. The presence of hematoma is 33.3%. The ratio of engorged sublingual veins is 84.4%, and the purple and/or blue on sublingual veins is 34.8%. Conclusions: The systematical evaluation of blood stasis signs will support for efficient treatment on stroke patients in the recovery stage.

Article Details

References

1. Gao Li, et al (2013), "A pilot study on the relationship between tongue manifestation and the degree of neurological impairment in patients with acute cerebral infarction". Chinese Journal of Integrative Medicine, 19(2), pp 149-152.
2. Huang Yungsheng, et al (2017), "The relationship between ischemic stroke patients with and without retroflex tongue: A retrospective study". Evidence-Based Complementary and Alternative Medicine, 2017.
3. Jung Changjin, et al (2012), "Review on the current trends in tongue diagnosis systems". Integrative Medicine Research, 1(1), pp 13–20.
4. Kanawong R., et al (2017), "Tongue image analysis and its mobile app development for health diagnosis". Translational Informatics in Smart Healthcare, pp 99–121.
5. Lin Hungjen, et al (2014), "Automatic sublingual vein feature extraction system". International Conference on Medical Biometrics, 2014, pp 55-62.
6. Tania MH., et al (2019), "Advances in automated tongue diagnosis techniques". Integrative Medicine Research, 8(1), pp 42-56.
7. Vocaturo E., et al (2019), "On discovering relevant features for tongue colored image analysis". In IDEAS 2019: 23rd International Database Engineering & Applications Symposium.
8. Wang Xingzheng & Zhang D. (2011). "Statistical tongue color distribution and its application", Prococeedings of the International Conference on Computer and Computational Intelligence, Amer Society of Mechanical.
9. Yamamoto S., et al (2011), "Regional image analysis of the tongue color spectrum". International Journal of Computer Assisted Radiology and Surgery, 6(1), pp 143-152.
10. Youngchang Arai, et al (2017), "Observational study of the association between tongue exam and the Kampo diagnostic procedure of Fuku Shin (abdominal exam) in blood stasis". Journal of Evidence-Based Complementary & Alternative Medicine 22(4), pp 879–882.
11. Zhang B., et al (2013), "Tongue color analysis for medical application". Evidence-Based Complementary and Alternative Medicine, 2013, pp 1-11.
12. Kumar V., et al (2017), Robbins basic pathology, 10th edition, Elsevier, Philadelphia, pp 101.
13. McKenzie SB., et al (2014), Clinical laboratory hematology, 3rd Edition, Pearson, Boston, pp 665.
14. Chiu Chuangchien, et al (2002), "Objective assessment of blood stasis using computerized inspection of sublingual veins". Computer Methods and Programs in Biomedicine, 69(2002), pp 1-12.