부산대학교 도서관

Background: Helicobacter pylori (HP) infection is associated with various diseases. Early detection can prevent the onset of illness. We constructed a nomogram to predict groups at high risk of HP infection. Methods: Patients who underwent regular medical check-ups at hospital in Chaoshan, China from March to September 2022 were randomly allocated to the training and validation cohorts. Risk factors including basic characteristics and lifestyle habits associated with HP infection were analyzed by logistic regression analyses. The independent varieties were calculated and plotted into a nomogram. The nomogram was internally validated by receiver operating characteristic curve, calibration, and decision curve analyses (DCAs). Results: Of the 945 patients, 680 were included in the training cohort and 265 in the validation cohort. 356 patients in training cohort with positive 13 C-UBT results served as the infected group, and 324 without infection were the control group. The multivariate regression analyses showed that the risk factors for HP infection included alcohol consumption (OR = 1.29, 95%CI = 0.78–2.13, P = 0.03), family history of gastric disease (OR = 4.35, 95%CI = 1.47–12.84, P = 0.01), living with an HP-positive individual (OR = 18.09, 95%CI = 10.29–31.82, P < 0.0001), drinking hot tea (OR = 1.58, 95%CI = 1.05–2.48, P = 0.04), and infection status of co-drinkers unknown (OR = 2.29, 95%CI = 1.04–5.06, P = 0.04). However, drinking tea > 3 times per day (OR = 0.56, 95%CI = 0.33–0.95, P = 0.03), using serving chopsticks (OR = 0.30, 95%CI = 0.12–0.49, P < 0.0001) were protective factors for HP infection. The nomogram had an area under the curve (AUC) of 0.85 in the training cohort. The DCA was above the reference line within a large threshold range, indicating that the model was better. The calibration analyses showed the actual occurrence rate was basically consistent with the predicted occurrence rate. The model was validated in the validation cohort, and had a good AUC (0.80), DCA and calibration curve results. Conclusions: This nomogram, which incorporates basic characteristics and lifestyle habits, is an efficient model for predicting those at high risk of HP infection in the Chaoshan region. Key findings: A nomogram, which included alcohol consumption, living with an HP-positive individual, using serving chopsticks, drinking hot tea, a family history of gastric cancer, the infection status of co-drinkers unknown, and drinking tea > 3 times per day, was established to to predict groups at high risk of HP infection in Chaoshan. What is known and what is new? Numerous logistic regression studies have been conducted to investigate the risk factors for Helicobacter pylori (HP) infections. The use of serving chopsticks has been proven to be a protective factor. Our study results were presented in a nomogram. The temperature of the tea, the duration of tea consumption, the frequency of tea consumption, sharing cup use, and the infection status of co-drinkers were considered in this study. What is the implication, and what should change now? We created a simple tool for predicting those at high risk of HP infection in the Chaoshan region. It also provides a basis for early testing and treatment HP infection. [ABSTRACT FROM AUTHOR]