Construction and verification of a risk model for re-positive peptic ulcer patients with Helicobacter pylori infection after eradication therapy

Autor: Tang Yuelian, Wang Xinyan, Li Gang, Liu Dongbing, Liu Jiaxin
Jazyk: čínština
Rok vydání: 2023
Předmět:
Zdroj: Xin yixue, Vol 54, Iss 10, Pp 723-727 (2023)
Druh dokumentu: article
ISSN: 0253-9802
DOI: 10.3969/j.issn.0253-9802.2023.10.007
Popis: Objective To explore the risk factors of re-positive after eradication therapy in patients with peptic ulcer(PU) complicated with Helicobacter pylori(Hp)infection, and to establish and verify a risk warning. Methods A total of 120 patients with PU complicated with Hp infection who underwent eradication therapy were selected. According to whether the patients were re-positive, they were divided into the re-positive group(n = 17)and non-re-positive group(n = 103). Logistic regression analysis was performed on potential related factors, and a risk model was constructed and verified. Results The re-positive rate of 120 PU patients complicated with Hp infection after eradication therapy was 14.17%. Logistic regression analysis showed that smoking history(OR = 3.255), alcohol abuse history(OR = 5.170), NSAID application history(OR = 3.136 , gastroscopy after eradication therapy(OR = 6.545), SAS score(OR = 1.119), SDS score(OR = 1.210), maximum diameter of ulcer(OR = 4.450)and number of ulcer(OR =1.307)were the independent risk factors for re-positive after eradication therapy in patients with PU complicated with Hp infection(all P < 0.05). Regular eating habit (OR = 0.034 ) was the independent protective factor(P < 0.05). The area under the ROC curve (AUC) was 0.949(P < 0.001,95%CI 0.899-0.998), the sensitivity was 88.20%, the specificity was 92.20%, and the maximum Youden index was 0.804. The prediction accuracy in clinical application was 81.67%. Conclusions The re-positive of PU patients complicated with Hp infection after eradication therapy is affected by multiple factors. The risk warning model established based on these risk factors yields high predictive efficacy.
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