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292例体检者幽门螺杆菌检测结果分析 被引量:19

Detection of Helicobacter pylori Infection among the Health Screening Population
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摘要 目的:了解体检人群幽门螺杆菌(Hp)感染情况及分布特征。方法:选取2010年3月至6月间天津医科大学附属肿瘤医院健康体检者29例,以性别和年龄进行分组,应用幽门螺杆菌尿素酶抗体检测试剂盒(胶体金法)快速检测体检人群中幽门螺杆菌感染情况,并对其结果进行统计学分析。结果:292例体检者幽门螺杆菌总感染率为35.3%(103/292),其中男性体检者和女性体检者感染阳性率分别为35.5%(49/138)和35.1%(54/154),男性和女性体检者幽门螺杆菌感染率比较差异无统计学意义(P>0.05);将体检者分为低年龄组(<30岁)、中年龄组(30~55岁)和高年龄组(>55岁)3个实验组,幽门螺杆菌感染率在3个年龄组逐渐增加,感染阳性率分别为14.3%(4/28)、31.9%(44/138)和43.7%(55/126),且低年龄组与高年龄组幽门螺杆菌感染率差异具有统计学意义(P<0.05)。结论:体检人群幽门螺杆菌感染分布与年龄呈正相关,而且与性别无关。 Objective: To investigate the status of Helicobacter pylori ( Hp ) infections and its distribution among the health screening population. Methods: Grouping was conducted based on gender and age. Hp infection was rapidly detected using Helicobacterpylori urease antibody detection kits ( Colloidal Gold method) in the health examination population. The resulting data was statistically analyzed. Results: Hp-positive rate of the 292 individuals that underwent health examinations was 35.3% ( 103/292 ), and the positive rate in male and female cases were 35.5% ( 49/138 ) and 35.1% ( 54/154 ), respectively. There were no significant differences in the positive rates between the male and female individuals (P 〉 0.05 ). The individuals were divided into three experimental groups, namely, the low age group ( 〈30 years ), the middle age group (30 to 55 years) and the advanced age group ( 〉55 years ). The Hp-positive rates increased with a direct correlation with age in the low, middle, and advanced age groups, with positive rates of 14.3% ( 4/28 ), 31.9% (44/138), and 43.7% ( 55/126 ), respectively. There were significant differences in the Hp infection rate between the low-age and the advanced-age groups ( P 〈 0.05 ). Conclusion: The distribution of the Hp infection in the health screening population is positively correlated with patient age, but not with sex.
作者 李世霞
出处 《中国肿瘤临床》 CAS CSCD 北大核心 2011年第11期654-655,663,共3页 Chinese Journal of Clinical Oncology
关键词 幽门螺杆菌 感染 分布特征 Helicobacter pylori Infection Distribution characteristics
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