Construction and verification of prediction model for family clustering of Helicobacter pylori infection in Henan province
10.3969/j.issn.1673-4130.2025.13.003
- VernacularTitle:河南地区家庭聚集性幽门螺杆菌感染预测模型构建与验证
- Author:
Kun YANG
1
;
Changcheng GUO
Author Information
1. 黄河水利委员会黄河中心医院检验科,河南郑州 450003
- Keywords:
Helicobacter pylori;
family cluster;
Henan province;
prediction model
- From:
International Journal of Laboratory Medicine
2025;46(13):1548-1553
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the construction and verification of prediction model for family clustering of Helicobacter pylori(Hp)infection in Henan province.Methods A total of 240 patients with Hp infection from different families in Henan province who underwent physical examination in a hospital from January 2022 to August 2023(modeling group)were selected as the study objects.According to the pathological detec-tion of whether family cluster Hp infection occurred in the families of the subjects,they were divided into the occurrence group(97 cases)and the non-occurrence group(143 cases),and their clinical data were collected.Risk factors were analyzed and a nomogram prediction model was constructed.In addition,110 Hp infected pa-tients from different families in Henan province who underwent physical examination in the hospital from September 2023 to March 2024 were selected as the verification group,and their clinical data were collected to verify the prediction model of the nomogram.Results There were statistically significant differences in the highest level of education,number of people living together,annual household income,use of serving chop-sticks,meal separation,frequency of eating out and the proportion of family members with stomach diseases between the two groups(P＜0.05).Multivariate analysis showed that the highest level of family education,the number of people living together,the annual household income,the use of serving chopsticks,separate meals,the frequency of eating out,and family members with stomach disease were independent risk factors.The area under the curve of the prediction probability of the nomogram prediction model was 0.728(95％CI:0.663-0.793),the sensitivity was 0.701,the specificity was 0.657,and the cutoff value was 0.417.The no-mogram prediction model had a good fit(x2=5.532,P＞0.05).Conclusion The prediction model of family clustering of Hp infection in Henan province can effectively identify high-risk patients,make suggestions for their daily living habits,and reduce the incidence of family clustering of Hp infection,which has high clinical application value.
