A Study On Antibody And Relevant Factors Of SARS

Objective Discuss the dynamic changes of SARS-Coronavirus IgM and IgG antibodies on patients and the relevant factors during the SARS epidemic.Method Clean the clinical and epidemiological database. Use classical statistical methods (such as rank sum test, trend test and logistic regression), Meta-analyze and Bayesian methods to analyze the positive rate of IgM and IgG in different phases. In order to find the relevant factors, we split the data by different factors.Result IgM positive rate is ascending during the the course of the illness. IgG positive rate is almost the same the the course of the illness. IgM antibody-positive rate is low in the first week, less than 10%. IgG positive rate is high in the first week, more than 50%.In the multi-logistic regression, the course of the illness, region, gender, age, occupations, contact history, the history of fever and chest-radiography detection are statistically significant (P < 0.05). Based on standardized regression coefficient, the order of their impacts from high to low is contact history, occupation, the incidence of time, age, chest-radiography detection, gender and the history of fever.Conclusion Antibody test is the most economic, simple and commonly used method in the three tests recommended by the WHO. In this study, the IgG positive rate is high in the early phase. It will be an effective way to diagnose the SARS in the early phase via IgG. In addition, the epidemiological fators as the course of the illness, regional and occupation impact greater than the clinical methods as the WBC detection, CD3+, CD4+, CD8+ detection.