Articles Vol. 66 No. CĐ3-HNKH Ký Sinh Trùng VN lần thứ 51 24/03/2025

28. Diagnostic traditional medicine criteria of Covid-19 by using latent tree model

Tran Thi Hong Ngai1,2, Nguyen Truong Nam3,4, Hoang Thuy Hong3,4, Le Thi Thanh Nhan5,6
1 Viet Nam University Of Traditional Medicine & Pharmacy
2 Học viện Y – Dược học cổ truyền Việt Nam
3 Phenikaa University
4 Trường Đại học Phenikaa
5 Hanoi University of Public Health
6 Trường đại học y tế công cộng
Corresponding author: nam.nguyentruong@phenikaa-uni.edu.vn
DOI: 10.52163/yhc.v66iCĐ3.2149
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Abstract

Objectives: In order to treatment result underlying the traditional medicine theory, differentiating disease patterns is important. Thence, this study was implemented to initially establish diagnostic criteria of the mild level of Covid-19 by using lattern tree analysis.

Materials and Methods: Step 1: By literatures review, appropriate traditional medicine paterns and manifestations of COVID-19 identified in textbooks and various resources were collected and analized to compose a questionaire. Step 2: Recruiting and investigating COVID-19 patients at mild stage at Hochiminh City traditional medicine hospital by inclusion criteria. Included data were analized by using the Latent tree model analysis.

Results: A 65-question survey was used to investigate 438 patients who are appropriate with inclusion criteria. After modeling, 20 latent variables (Y0 to Y20) were established, referring to the groups of included symptom variables. According to Tam tieu (sanjiao) diagnosis theory, there are 2 traditional medicine disease patterns matching with the literatures: Thuong tieu (upper jiao), Trung tieu (middle jiao).

Conclusions: Utilizing the Latent tree model analysis, 2 traditional medicine disease patterns of COVID-19 at mild stage were pointed, including: Thuong tieu (upper jiao), Trung tieu (middle jiao).

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