Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants

IntroductionChronic kidney disease (CKD) is a significant global health problem associated with high morbidity and mortality rates. Traditional Chinese Medicine (TCM) utilizes tongue diagnosis to differentiate symptoms and predict prognosis. This study examines the relationship between tongue charac...

Full description

Saved in:
Bibliographic Details
Main Authors: Po-Chi Hsu, Jia-Ming Chen, Chia-Chu Chang, Yu-Jun Chang, Ping-Fang Chiu, John Y. Chiang, Lun-Chien Lo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2024.1443646/full
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841561023823216640
author Po-Chi Hsu
Po-Chi Hsu
Jia-Ming Chen
Jia-Ming Chen
Chia-Chu Chang
Yu-Jun Chang
Ping-Fang Chiu
John Y. Chiang
John Y. Chiang
Lun-Chien Lo
Lun-Chien Lo
author_facet Po-Chi Hsu
Po-Chi Hsu
Jia-Ming Chen
Jia-Ming Chen
Chia-Chu Chang
Yu-Jun Chang
Ping-Fang Chiu
John Y. Chiang
John Y. Chiang
Lun-Chien Lo
Lun-Chien Lo
author_sort Po-Chi Hsu
collection DOAJ
description IntroductionChronic kidney disease (CKD) is a significant global health problem associated with high morbidity and mortality rates. Traditional Chinese Medicine (TCM) utilizes tongue diagnosis to differentiate symptoms and predict prognosis. This study examines the relationship between tongue characteristics and CKD severity using an automatic tongue diagnosis system (ATDS), which captures tongue images non-invasively to provide objective diagnostic information.MethodsThis cross-sectional, case-control study was conducted from July 1, 2019, to December 31, 2021. Participants were divided into three groups based on estimated glomerular filtration rate (eGFR): control (eGFR > 60 ml/min/1.732), CKD stage 3 (30 ≤ eGFR < 60 ml/min/1.732), and CKD stage 4–5 (eGFR < 30 ml/min/1.732). Tongue images were analyzed using ATDS to extract nine primary features: tongue shape, color, fur, saliva, fissures, ecchymosis, tooth marks, and red dots. Statistical analyses included non-parametric methods and ordinal logistic regression.ResultsThis study revealed that significant differences in the fur thickness, tongue color, amount of ecchymosis, and saliva among three groups. Ordinal logistic regression indicated that pale tongue color (OR: 2.107, P < 0.001), bluish tongue color (OR: 2.743, P = 0.001), yellow fur (OR: 3.195, P < 0.001), wet saliva (OR: 2.536, P < 0.001), and ecchymoses (OR: 1.031, P = 0.012) were significantly associated with increased CKD severity. Additionally, each red dot and tooth mark decreased the odds of severe CKD.ConclusionTongue features such as paleness, wet saliva, yellow fur, and ecchymosis are prevalent in CKD patients and can serve as early clinical indicators of the disease. This study demonstrates that TCM tongue diagnosis, facilitated by ATDS, is a valuable, non-invasive method for identifying CKD and distinguishing its stages.
format Article
id doaj-art-31a4bde1ebe04b339eb4947a1c71d8dc
institution Kabale University
issn 2624-909X
language English
publishDate 2025-01-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Big Data
spelling doaj-art-31a4bde1ebe04b339eb4947a1c71d8dc2025-01-03T06:47:11ZengFrontiers Media S.A.Frontiers in Big Data2624-909X2025-01-01710.3389/fdata.2024.14436461443646Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participantsPo-Chi Hsu0Po-Chi Hsu1Jia-Ming Chen2Jia-Ming Chen3Chia-Chu Chang4Yu-Jun Chang5Ping-Fang Chiu6John Y. Chiang7John Y. Chiang8Lun-Chien Lo9Lun-Chien Lo10School of Chinese Medicine, China Medical University, Taichung, TaiwanDepartment of Chinese Medicine, China Medical University Hospital, Taichung, TaiwanDepartment of Traditional Chinese Medicine, Changhua Christian Hospital, Changhua, TaiwanGraduate Institute of Chinese Medicine, China Medical University, Taichung, TaiwanDivision of Nephrology, Department of Internal Medicine, Kuang Tien General Hospital, Taichung, TaiwanBig Data Center, Epidemiology and Biostatistics Center, Changhua Christian Hospital, Changhua, TaiwanNephrology Division, Department of Internal Medicine, Changhua Christian Hospital, Changhua, TaiwanDepartment of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, TaiwanDepartment of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, TaiwanSchool of Chinese Medicine, China Medical University, Taichung, TaiwanDepartment of Chinese Medicine, China Medical University Hospital, Taichung, TaiwanIntroductionChronic kidney disease (CKD) is a significant global health problem associated with high morbidity and mortality rates. Traditional Chinese Medicine (TCM) utilizes tongue diagnosis to differentiate symptoms and predict prognosis. This study examines the relationship between tongue characteristics and CKD severity using an automatic tongue diagnosis system (ATDS), which captures tongue images non-invasively to provide objective diagnostic information.MethodsThis cross-sectional, case-control study was conducted from July 1, 2019, to December 31, 2021. Participants were divided into three groups based on estimated glomerular filtration rate (eGFR): control (eGFR > 60 ml/min/1.732), CKD stage 3 (30 ≤ eGFR < 60 ml/min/1.732), and CKD stage 4–5 (eGFR < 30 ml/min/1.732). Tongue images were analyzed using ATDS to extract nine primary features: tongue shape, color, fur, saliva, fissures, ecchymosis, tooth marks, and red dots. Statistical analyses included non-parametric methods and ordinal logistic regression.ResultsThis study revealed that significant differences in the fur thickness, tongue color, amount of ecchymosis, and saliva among three groups. Ordinal logistic regression indicated that pale tongue color (OR: 2.107, P < 0.001), bluish tongue color (OR: 2.743, P = 0.001), yellow fur (OR: 3.195, P < 0.001), wet saliva (OR: 2.536, P < 0.001), and ecchymoses (OR: 1.031, P = 0.012) were significantly associated with increased CKD severity. Additionally, each red dot and tooth mark decreased the odds of severe CKD.ConclusionTongue features such as paleness, wet saliva, yellow fur, and ecchymosis are prevalent in CKD patients and can serve as early clinical indicators of the disease. This study demonstrates that TCM tongue diagnosis, facilitated by ATDS, is a valuable, non-invasive method for identifying CKD and distinguishing its stages.https://www.frontiersin.org/articles/10.3389/fdata.2024.1443646/fullTraditional Chinese Medicine (TCM)tongue diagnosisautomatic tongue diagnosis system (ATDS)chronic kidney disease (CKD)renal function
spellingShingle Po-Chi Hsu
Po-Chi Hsu
Jia-Ming Chen
Jia-Ming Chen
Chia-Chu Chang
Yu-Jun Chang
Ping-Fang Chiu
John Y. Chiang
John Y. Chiang
Lun-Chien Lo
Lun-Chien Lo
Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
Frontiers in Big Data
Traditional Chinese Medicine (TCM)
tongue diagnosis
automatic tongue diagnosis system (ATDS)
chronic kidney disease (CKD)
renal function
title Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
title_full Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
title_fullStr Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
title_full_unstemmed Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
title_short Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
title_sort exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants
topic Traditional Chinese Medicine (TCM)
tongue diagnosis
automatic tongue diagnosis system (ATDS)
chronic kidney disease (CKD)
renal function
url https://www.frontiersin.org/articles/10.3389/fdata.2024.1443646/full
work_keys_str_mv AT pochihsu exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT pochihsu exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT jiamingchen exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT jiamingchen exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT chiachuchang exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT yujunchang exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT pingfangchiu exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT johnychiang exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT johnychiang exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT lunchienlo exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants
AT lunchienlo exploringthepivotalvariablesoftonguediagnosisbetweenpatientswithchronickidneydiseaseandhealthparticipants