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Journal of Traditional Chinese Medicine >

2022 , Vol. 42 >Issue 2: 279 - 288

DOI: https://doi.org/10.19852/j.cnki.jtcm.20220225.001

Research Articles

Mining intrinsic information of convalescent patients after suffering coronavirus disease 2019 in Wuhan

  • Shixing YAN ,
  • Yi Lü ,
  • Ziqing LIU ,
  • Meng REN ,
  • Haiyang HE ,
  • Li XIAO ,
  • Feng GUO ,
  • Miao PENG ,
  • Xiaoxia LI ,
  • Yong WANG ,
  • Xi XU ,
  • Tao YANG ,
  • Zuoyu SHAO ,
  • Jingjing HUANG ,
  • Mingzhong XIAO
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  • 1 Department of TCM Data Intelligence, Shanghai Daosh Medical Technology Co., Ltd., Shanghai 201200, China
    2 Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430061, China; Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan 430061, China; Hubei Academy of Traditional Chinese Medicine, Wuhan 430074, China
    3 Electronical Medical Records and Information Management Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai 200437, China
    4 Chinese Medicine Development research Center, Shanghai Literature Institute of TCM, Shanghai 200025, China
    5 College of Acupuncture and Massage, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    6 College of Artificial Intelligence and Information Technology, Institute of Information and Technology Nanjing University of Chinese Medicine, Nanjing 210023, China
Dr. XIAO Mingzhong, Hepatic Disease Institute, Hubei Key Laboratory of Theoretical and Applied Research of Liver and Kidney in Traditional Chinese Medicine, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430061, China; Affifiliated Hospital of Hubei University of Chinese Medicine, Wuhan 430061, China; Hubei Academy of Traditional Chinese Medicine, Wuhan 430074, China. xmz0001@sohu.com, Telephone: +86-18908640865

Received date: 2021-07-07

  Accepted date: 2021-10-29

  Online published: 2022-02-25

Supported by

National key research and development plan-Clinical Evaluation of TCM Intervention in COVID-19 Recovery(2020YFC0845000);Clinical study on the prevention and treatment of COVID-19 with integrated Chinese and Western Medicine(2020YFC0841600);National Administration of Traditional Chinese Medicine-TCM Emergency Response Project for COVID-19(2020ZYLCYJ04)

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Abstract

OBJECTIVE: To summarize the potential characteristics of convalescent patients with coronavirus disease 2019 (COVID-19) in China based on emerging clinical tongue data and guide the treatment and recovery of COVID-19 patients from the perspective of Traditional Chinese Medicine tongue diagnosis.

METHODS: In this study, we developed and validated radiomics-based and lab-based methods as a novel approach to provide individualized pretreatment evaluation by analyzing different features to mine the orderliness behind tongue data of convalescent patients. In addition, this study analyzed the tongue features of convalescent patients from clinical tongue qualitative values, including thick and thin, fur, peeling, fat and lean, tooth marks and cracked, and greasy and putrid fur.

RESULTS: We included 2164 tongue images in total (34% from day 0, 35.4% from day 14 and 30.6% from day 28) from convalescent patients. The significance results are shown as follows. Firstly, as the recovery time prolongs, the L average values of tongue and coat decrease from 60.21 to 57.18 and from 60.06 to 57.03 respectively. Secondly, the decrease of abnormality rate of tongue coat, included greasy tongue fur, putrid fur, teeth-mark, thick-thin fur, are of significant statistical difference (P < 0.05). Thirdly, the average value of gray-level co-occurrence matrices increases from 0.173 to 0.194, the average value of entropy increases from 0.606 to 0.665, the average value of inverse difference normalized decrease from 0.981 to 0.979, and the average value of dissimilarity decrease from 0.1576 to 0.1828. The details of other radiomics features are describe in results section.

CONCLUSIONS: Our experiment shows that patients in different recovery periods have a relationship with quantitative values of tongue images, including L color space of the tongue and coat radiomics features analysis. This relationship can help clinical doctors master the recovery and health of patients as soon as possible and improve their understanding of the potential mechanisms underlying the dynamic changes and mechanisms underlying COVID-19.

Key words： COVID-19; tongue inspection; quantitative values; dynamic change mechanisms; radiomics features analysis

Cite this article

Shixing YAN , Yi Lü , Ziqing LIU , Meng REN , Haiyang HE , Li XIAO , Feng GUO , Miao PENG , Xiaoxia LI , Yong WANG , Xi XU , Tao YANG , Zuoyu SHAO , Jingjing HUANG , Mingzhong XIAO . Mining intrinsic information of convalescent patients after suffering coronavirus disease 2019 in Wuhan[J]. Journal of Traditional Chinese Medicine, 2022 , 42(2) : 279 -288 . DOI: 10.19852/j.cnki.jtcm.20220225.001

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