Risk factors for MRSA infection in patients with cerebral infarction and establishment of a clinical prediction model
Objective To identify the risk factors for methicillin-resistant Staphylococcus aureus(MRSA)infection in patients with cerebral infarction in Guangdong Provincial Second Hospital of Traditional Chinese Medicine and establish a clinical prediction model,which can provide references for the prevention and treatment of MRSA infection.Methods A total of 277 patients diagnosed with cerebral infarction and Staphylococcus aureus infection who were hospitalized in Guangdong Provincial Second Hospital of Traditional Chinese Medicine from January 2021 to December 2023 were included in this retrospective analysis,including 188 males and 89 females who were 77(29,100)years old.According to whether they were methicillin-resistant,the patients were divided into a MRSA group and a methicillin-susceptible Staphylococcus aureus(MSSA)group.The data were compared between the two groups by x2 and rank sum tests.R 4.3.0 was used for the data statistics and visualization processing;the optimal subset regression analysis and multivariate logistic regression analysis were used to analyze the risk factors of the cerebral infarction patients complicated by MRSA infection;a corresponding nomogram model was established.The receiver operating characteristic curve(ROC)and DCA curve were drawn to evaluate the model.Results The isolation rate of MRSA in Guangdong Provincial Second Hospital of Traditional Chinese Medicine was 71.84％(199/277).The multivariate logistic regression analysis showed that creatinine reduction(OR=0.995,95％CI 0.992-0.999),using central venous catheterization(OR=2.390,95％CI 1.262-4.223),history of hospitalization in respiratory department before infection(OR=4.683,95％CI 1.377-15.929),and combined use of antibiotics(OR=2.270,95％CI 1.231-4.187)were independent risk factors for MRSA infection in the patients.The area under the curve of the nomogram model based on the 6 variables obtained from the optimal subset regression analysis was 0.720;the sensitivity,specificity,and accuracy were 67.84％,70.51％,and 68.59％,respectively.The diagnostic and predictive performance was acceptable.Conclusion We should pay attention to the risk factors of MRSA infection in patients with cerebral infarction,and use the nomogram model to predict the occurrence of MRSA infection.
万方数据
维普
