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Objective To explore the Helicobacter pylori (Hp) infection rate and antibody typing of 1111 physical examination people in plateau area, and to analyze the risk factors of Hp infection by logistics regression analysis. Methods 1111 healthy people with physical examination in plateau area from January 2022 to December 2022 were selected as the research subjects. The Hp infection rate and antibody typing were calculated, and the risk factors of Hp infection were analyzed by logistics regression analysis. Results The Hp infection rate of physical examination people in plateau area was 62.47% (694/1 111). The infection rate of type I HP in infected patients was higher than that of type Ⅱ HP(75.50% vs 24.50%) (χ2=361.141, P2=4.418, 8.708, 16.565, 32.583, P=0.036, 0.003, 2=5.153, P=0.023). Often eating pickled or barbecued foods [OR (95%CI)=2.038 (1.049-3.961)], history of chronic gastric disease [OR(95%CI)=1.706 (1.132-2.569)] and family members living together≥4 [OR (95%CI)=1.857 (1.135-3.037)] were risk factors of Hp infection, and regular garlic consumption [OR (95%CI)=0.559 (0.346-0.903)] was a protective factor (P=0.036, 0.011, 0.014, 0.018). Conclusion The Hp infection rate and antibody Ure positive rate are higher in physical examination people in plateau area, and chronic gastric disease history and often eating pickled or barbecued foods are risk factors of Hp infection.
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Objective To explore the risk factors of unplanned readmission in patients with acute myocardial infarction in plateau area. Methods The convenience sampling method was used to select 220 patients with acute myocardial infarction in the hospital's internal medicine department from January 2020 to May 2021. The patients were divided into two groups according to whether they had unplanned readmission within one year, 79 patients were included in readmission group, and 141 patients without unplanned readmission were included in non-readmission group. Clinical data of the 220 patients with acute myocardial infarction in plateau area were collected by reviewing electronic medical records, and laboratory examination and angiography examination were performed 1 day before discharge. Univariate and multivariate logistic regression analysis were carried out, and ROC curve risk prediction model was established. Results There were statistically significant differences in age, history of myocardial infarction, history of PCI, history of stroke, blood calcium, and Kilip cardiac function between the two groups (P < 0.05). Logistic regression analysis showed that age ≥60 years old, history of myocardial infarction, history of PCI, history of stroke, blood calcium and Kilip cardiac function grading were positively correlated with unscheduled readmission (P < 0.05). The ROC curve was drawn with the occurrence of unplanned readmission as the state variable. The AUC area was 0.801, the predictive sensitivity was 88.94%, and the specificity was 57.92%. Conclusion Unplanned readmission of AMI patients in plateau areas is related to multiple factors. It is necessary to identify high-risk groups as early as possible in combination with risk factors and develop individualized intervention measures.