Characteristics of Oral Breath Odor Map of Chronic Atrophic Gastritis Patients with Dampness-Heat Syndrome： A Cross-Sectional Study

LIN Xuejuan; HUANG Yanyu; ZHU Long; CAO Donglin; DING Shanshan; LI Xinghui; HU Yingying; LAN Meng; HUANG Weirong

doi:10.13288/j.11-2166/r.2024.16.010

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Characteristics of Oral Breath Odor Map of Chronic Atrophic Gastritis Patients with Dampness-Heat Syndrome： A Cross-Sectional Study

更新时间：2024-08-12

- Characteristics of Oral Breath Odor Map of Chronic Atrophic Gastritis Patients with Dampness-Heat Syndrome： A Cross-Sectional Study
- Journal of Traditional Chinese Medicine Vol. 65, Issue 16, Pages: 1687-1694(2024)
- 作者机构：
  
  1.福建中医药大学中医证研究基地，福建省福州市闽侯上街邱阳路1号，350122
  2.厦门大学信息学院人工智能系
  3.福建中医药大学附属晋江中医院
- 作者简介：
- 基金信息：
- DOI：10.13288/j.11-2166/r.2024.16.010
  CLC：
- Received：05 August 2023，
  
  Revised：2024-01-10，
  
  Published：17 August 2024
- 稿件说明：
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林雪娟,黄琰钰,朱龙等.慢性萎缩性胃炎湿热证患者口腔呼气气味图谱特征的横断面研究[J].中医杂志,2024,65(16):1687-1694.

LIN Xuejuan,HUANG Yanyu,ZHU Long,et al.Characteristics of Oral Breath Odor Map of Chronic Atrophic Gastritis Patients with Dampness-Heat Syndrome： A Cross-Sectional Study[J].Journal of Traditional Chinese Medicine,2024,65(16):1687-1694.
林雪娟,黄琰钰,朱龙等.慢性萎缩性胃炎湿热证患者口腔呼气气味图谱特征的横断面研究[J].中医杂志,2024,65(16):1687-1694. DOI： 10.13288/j.11-2166/r.2024.16.010.

LIN Xuejuan,HUANG Yanyu,ZHU Long,et al.Characteristics of Oral Breath Odor Map of Chronic Atrophic Gastritis Patients with Dampness-Heat Syndrome： A Cross-Sectional Study[J].Journal of Traditional Chinese Medicine,2024,65(16):1687-1694. DOI： 10.13288/j.11-2166/r.2024.16.010.

摘要

目的

基于电子鼻技术探讨慢性萎缩性胃炎（CAG）湿热证患者口腔呼气气味图谱特征及识别效果。

方法

招募慢性胃炎患者，其中CAG湿热证组60例、CAG非湿热证组50例、慢性非萎缩性胃炎（CNAG）湿热证组60例、CNAG非湿热证组50例，同时将健康志愿者30例设为健康对照组。随机选取CAG湿热证组中10例和CAG非湿热证组50例组成CAG组，选取CNAG湿热证组10例和CNAG非湿热证组50例组成CNAG组。除健康对照组外，其余各组患者进行幽门螺杆菌（Hp）检测；运用电子鼻（GISXM-MQWA01）采集所有受试者口腔呼气气味绘制图谱，对健康对照组与CAG组、CNAG组受试者，CAG湿热证组、CAG非湿热证与CNAG湿热证口腔气味图谱各响应曲线（包括曲线A、B、C、D、E、F、G、H、I、J）振幅、斜率进行比较。运用改良Transformer模型对气味图谱特征进行分类，并采用混淆矩阵方法对分类模型进行评估，指标包括准确率、ROC曲线下面积（AUC）等。

结果

CAG湿热证组Hp阳性率为80.00%（48/60），CAG非湿热证组为62.00%（31/50），CNAG湿热证组为46.67%（28/60），CNAG非湿热证组为42.00%（21/50），CAG湿热组与CAG非湿热组Hp阳性率比较差异有统计学意义（

＜0.05）。CAG组气味图谱的响应曲线A、B、C、D、F、G、I振幅及A、F的斜率均低于健康对照组，曲线E振幅及斜率高于健康对照组和CNAG组（

＜0.05或

＜0.01）；CNAG组的图谱响应曲线A、B、C、D、F、G、I振幅及A、D、F斜率低于健康对照组（

＜0.05或

＜0.01）。CAG湿热证组气味图谱响应曲线D振幅及J斜率高于CNAG湿热证组，曲线F振幅低于CAG非湿热证组，曲线H振幅及A、H、J斜率高于CAG非湿热证组（

＜0.05）。CAG组与健康对照组组间气味图谱识别模型的识别准确率达77.78%，AUC=0.88；CAG组与CNAG组的识别准确率达69.44%，AUC=0.61；CAG湿热证组与CAG非湿热证组识别准确率可达75.8%，AUC=0.70。

结论

电子鼻技术能对CAG湿热证患者的口腔呼气气味作出较为准确的识别，曲线F振幅降低，曲线H振幅及A、H、J斜率升高可能是其气味图谱特征。

Abstract

Objective

To explore the recognition of oral breath odor map of chronic atrophic gastritis （CAG） patients with dampness-heat syndrome by electronic nose technique.

Methods

Patients with chronic gastritis were recruited， including 60 cases in CAG group of dampness-heat syndrome， 50 cases in CAG group of non-dampness-heat syndrome， 60 cases in chronic non-atrophic gastritis （CNAG） group of dampness-heat syndrome， 50 cases in CNAG group of non-dampness-heat syndrome， and 30 cases of healthy volunteers were selected to set up the health control group. Ten cases in the CAG dampness-heat group and 50 cases in the CAG non-dampness-heat group were selected to form the CAG group， and 10 cases in CNAG dampness-heat group and 50 cases in CNAG non-dampness-heat group were selected to form the CNAG group. In addition to the health control group， the remaining patients were tested for Helicobacter pylori （Hp）； the electronic nose （GISXM-MQWA01） was used to collect the oral breath odor of all the participants to draw the mapping， and amplitudes and slopes of each curve （including curves A， B， C， D， E， F， G， H， I， J） of the oral odor mapping of health control group， CAG group， CNAG group， CAG dampness-heat group， CAG non-dampness-heat group， and CNAG dampness-heat group was compared. The modified transformer model was used to classify the odor mapping characteristics， and the confusion matrix method was used to evaluate the classification model， with metrics including accuracy and area under ROC curve （AUC）.

Results

The Hp positivity rate in CAG dampness-heat group was 80.00% （48/60）， CAG non-dampness-heat group was 62.00% （31/50）， CNAG dampness-heat group was 46.67% （28/60）， and CNAG non-dampness-heat group was 42.00% （21/50）； the difference in Hp positivity rate between CAG dampness-heat group and CAG non-dampness-heat group was statistically significant （

＜0.05）. The amplitudes of response curves A， B， C， D， F， G， and I， and slopes of A and F in the odor mapping of the CAG group were lower than those in health control group， while the amplitude and slope of curve E were higher than those in the health control group and CNAG group （

＜0.05 or

＜0.01）； The amplitude of the response curves A， B， C， D， F， G， and I， and slopes of A， D， and F in the CNAG group were lower than those in the health control group （

＜0.05 or

＜0.01）. The amplitude of response curve D and slope of res

ponse curve J in the odor mapping of the CAG dampness-heat group were higher than those in CNAG dampness-heat group， the amplitude of curve F was lower than that in CAG non-dampness-heat group， and the amplitude of curve H and slopes of curve A， H， and J were higher than those in CAG non-dampness-heat group （

＜0.05）. The recognition accuracy of CAG group and health control group reached 77.78%， AUC = 0.88； the recognition accuracy of CAG group and CNAG group was 69.44%， AUC = 0.61； the recognition accuracy of CAG dampness-heat group and CAG non-dampness-heat group reached 75.8%， AUC=0.70.

Conclusion

Electronic nose technology can make a more accurate identification of the oral breath odor in CAG patients with dampness-heat syndrome， with a decrease in the amplitude of the curve F and an increase in the amplitude of the curve H and in the slopes of the curves A， H， and J may as the characteristics of their odor mapping.

关键词

Keywords

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