Po-Chi Hsu, Jia-Ming Chen, Chia-Chu Chang, Yu-Jun Chang, Ping-Fang Chiu, John Y Chiang, Lun-Chien Lo
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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.</p><p><strong>Results: </strong>This 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, <i>P</i> < 0.001), bluish tongue color (OR: 2.743, <i>P</i> = 0.001), yellow fur (OR: 3.195, <i>P</i> < 0.001), wet saliva (OR: 2.536, <i>P</i> < 0.001), and ecchymoses (OR: 1.031, <i>P</i> = 0.012) were significantly associated with increased CKD severity. Additionally, each red dot and tooth mark decreased the odds of severe CKD.</p><p><strong>Conclusion: </strong>Tongue 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.</p>","PeriodicalId":52859,"journal":{"name":"Frontiers in Big Data","volume":"7 ","pages":"1443646"},"PeriodicalIF":2.4000,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11739136/pdf/","citationCount":"0","resultStr":"{\"title\":\"Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants.\",\"authors\":\"Po-Chi Hsu, Jia-Ming Chen, Chia-Chu Chang, Yu-Jun Chang, Ping-Fang Chiu, John Y Chiang, Lun-Chien Lo\",\"doi\":\"10.3389/fdata.2024.1443646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Chronic 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.</p><p><strong>Methods: </strong>This 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.</p><p><strong>Results: </strong>This 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, <i>P</i> < 0.001), bluish tongue color (OR: 2.743, <i>P</i> = 0.001), yellow fur (OR: 3.195, <i>P</i> < 0.001), wet saliva (OR: 2.536, <i>P</i> < 0.001), and ecchymoses (OR: 1.031, <i>P</i> = 0.012) were significantly associated with increased CKD severity. Additionally, each red dot and tooth mark decreased the odds of severe CKD.</p><p><strong>Conclusion: </strong>Tongue 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.</p>\",\"PeriodicalId\":52859,\"journal\":{\"name\":\"Frontiers in Big Data\",\"volume\":\"7 \",\"pages\":\"1443646\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11739136/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Big Data\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/fdata.2024.1443646\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Big Data","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/fdata.2024.1443646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
慢性肾脏疾病(CKD)是一个重要的全球性健康问题,与高发病率和死亡率相关。中医利用舌诊鉴别症状,预测预后。本研究使用舌头自动诊断系统(ATDS)来研究舌头特征与CKD严重程度之间的关系,该系统可以无创地捕获舌头图像,提供客观的诊断信息。方法:横断面病例对照研究于2019年7月1日至2021年12月31日进行。参与者根据估计的肾小球滤过率(eGFR)分为三组:对照组(eGFR bb0 60 ml/min/1.732), CKD 3期(30≤eGFR < 60 ml/min/1.732)和CKD 4-5期(eGFR < 30 ml/min/1.732)。使用ATDS对舌形图像进行分析,提取舌形、颜色、毛、唾液、裂隙、瘀斑、牙印和红点9个主要特征。统计分析包括非参数方法和有序逻辑回归。结果:本研究显示三组在毛厚、舌色、瘀斑数量和唾液方面有显著差异。有序logistic回归显示,舌色苍白(OR: 2.107, P < 0.001)、舌色偏蓝(OR: 2.743, P = 0.001)、毛黄(OR: 3.195, P < 0.001)、唾液湿(OR: 2.536, P < 0.001)、瘀斑(OR: 1.031, P = 0.012)与CKD严重程度增加显著相关。此外,每个红点和牙印都降低了严重CKD的几率。结论:舌苔苍白、唾液湿润、毛黄、瘀斑等舌苔特征在CKD患者中普遍存在,可作为该疾病的早期临床指标。本研究表明,在ATDS的辅助下,中医舌诊是一种有价值的、无创的CKD鉴别和分期方法。
Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants.
Introduction: Chronic 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.
Methods: This 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.
Results: This 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.
Conclusion: Tongue 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.