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328 Cases Of Infantile Pneumonia Correlation Research Of TCM Syndrome Type And Pathogens

Posted on:2017-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:M JinFull Text:PDF
GTID:2334330491961420Subject:Traditional Chinese Medicine
Abstract/Summary:PDF Full Text Request
Purpose: by retrospective study, the preliminary discussion on infantile pneumonia in TCM syndrome type and the correlation between clinical common pathogens and other factors, so as to provide reference for clinical syndrome differentiation.Methods: select data complete hospital 328 cases of children, with statistical software SAS9.1 descriptive analysis, frequency analysis, it is concluded that Chinese medicine syndrome types and distribution of common pathogens, analyze its relevance, as well as the correlation of factors such as age and season.Results: 1. The study in the journal stroke hot lung card most closed, phlegm heat lung card second closed, toxic heat closed less lung syndrome, hot and humid close your lung.2. The most common pathogens of virus disease, followed by bacteria, virus in respiratory syncytial virus, parainfluenza most.3. The common pediatric pneumonia pathogen distribution no correlation with TCM syndrome type.4. The TCM syndrome type and correlated with onset age, wind heat closed lung syndrome rate was highest in 3 ~ 7 years old, followed by 7 ~ 14 years old, 1 ~ 3 years old minimum;TCM syndrome type and the winter no correlation.5. Common pathogens has correlation with onset age, such as mycoplasma pneumoniae in children with 3 years of age or older is bigger than the incidence of children under the age of three.Common season pathogens and has no relevance.Conclusion: 1. The infantile pneumonia syndrome type of traditional Chinese medicine has nothing to do with the distribution of common pathogens.2. Common pediatric pneumonia pathogen distribution and associated with TCM syndrome type and onset age, has nothing to do with the winter.
Keywords/Search Tags:Infantile pneumonia, syndrome differentiation of TCM, etiology distribution, onset ages, onset seasons
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