摘要
目的 探讨胃黏膜集合小静脉(RAC)和Kimura-Takemoto分型(KTC)对胃镜检查患者幽门螺杆菌(Hp)感染的预测评估效果。方法 选取2020年2月—2021年5月南阳市第一人民医院进行胃镜检查的患者417例。根据是否存在Hp感染将其分为HP组和非Hp组。应用Logisitic回归分析探讨影响Hp感染的相关因素。应用ROC分析探讨RAC和KTC对患者Hp感染的预测价值。结果 内镜下胃黏膜萎缩是患者胃部Hp感染的危险影响因素,OR(0.95CI)=5.072(2.417~10.641),P<0.05;RAC、KTC、RAC联合KTC对全部患者Hp感染预测的准确度分别为:0.712(297/417)、0.753(314/417)、0.772(322/417);RAC、KTC、RAC联合KTC对未应用PPI患者Hp感染预测的准确度分别为:0.728(75/103)、0.767(79/103)、0.786(81/103);RAC、KTC、RAC联合KTC对正应用PPI患者Hp感染预测的准确度分别为:0.707(222/314)、0.748(235/314)、0.768(241/314)。结论 RAC和KTC可应用于胃镜下Hp感染的简单排除。
Objective To evaluate the predictive effect of RAC and KTC on Hp infection in patients undergoing gastroscopy.Methods From February 2020 to May 2021, 417 patients underwent gastroscopy in our hospital. According to the existence of Hp infection, they were divided into Hp group and non-HP group. The Logisitic regression analysis was used to explore the related factors affecting Hp infection. ROC analysis was used to explore the predictive value of RAC and KTC in patients with Hp infection. Results Gastric mucosal atrophy under endoscopy was a risk factor for Hp infection in patients, OR(0.95 CI) = 5.072(2.417-10.641), P<0.05;The accuracy of RAC, KTC and RAC combined with KTC in predicting Hp infection in all patients was 0.712(297/417), 0.753(314/417) and 0.772(322/417), respectively. The accuracy of RAC, KTC and RAC combined with KTC in predicting Hp infection in patients without PPI was 0.728(75/103), 0.767(79/103) and 0.786(81/103), respectively. The accuracy of RAC, KTC, RAC combined with KTC in predicting Hp infection in PPI patients was 0.707(222/314), 0.748(235/314) and 0.768(241/314), respectively. Conclusion RAC and KTC can be used for simple elimination of Hp infection under gastroscope.
作者
马志蛟
李洪现
张旗
陈培
MA Zhi-jiao;LI Hong-xian;ZHANG Qi;CHEN Pei(Digestive Endoscopy Center,Nanyang the First People's Hospital,Nanyang,Henan 473000,China;Endoscopy Center,Zhengzhou the First People's Hospital,Zhengzhou 450000,China)
出处
《医药论坛杂志》
2023年第2期13-17,共5页
Journal of Medical Forum
基金
2019年河南省医学科技攻关计划联合共建项目(LHGJ20191077)。