Analysis of early warning score model of multi-drug resistant organism infection in the elderly with acute exacerbation of chronic obstructive pulmonary disease
Objective To explore the construction of a multi-drug resistant organism(MDRO)infection warning scoring model based on clinical data of elderly patients with acute exacerbation of chronic obstructive pulmonary disease(COPD).Methods 313 elderly patients with acute exacerbation of COPD from September 2018 to May 2022 were included in this study,107 patients in the MDRO group and 206 patients in the non-MDRO group were selected to compare the single and multivariate factors of multidrug-resistant bacterial infection.Results There were statistically significant differences between the MDRO group and the non-MDRO group in diabetes mellitus,using of more than 3 kinds of antibiotics within 6 months before admission,using more than 3 kinds of antibiotics after admission,the length of hospital stay,ICU admission,glycosylated hemoglobin,fasting blood glucose,and using of antibiotics for more than 7 days after admission(P<0.05).Multivariate analysis showed that diabetes mellitus(X1),using of more than three kinds of antibiotics within 6 months before admission(X2),using of more than three kinds of antibiotics after admission(X3),ICU admission(X4),using of antibiotics after admission for more than 7 days(X5),high length of stay(X6),glycosylated hemoglobin(X7)and fasting blood glucose(X8)were the risk factors of multi-drug resistant bacterial infection in patients.Y=10.526+0.632X1+1.525X2+1.595X3+1.694X4+0.528X5+0.784X6+0.924X7+0.558X8.Conclusion In the treatment of elderly patients with acute exacerbation of COPD,patients with diabetes mellitus,more than 3 kinds of antibiotics used within 6 months before admission,more than 3 kinds of antibiotics used after admission,ICU admission,more than 7 days of antibiotics used after admission,high hospitali zation time higher glycated hemoglobin,higher fasting blood glucose,It is suggested to seek for aetiology evidence actively and carry out drug sensitivity test analysis in time to choice the accurate antibiotics and improve the prognosis of patients.