Analysis Of TCM Syndrome Types And Pathogenic Bacteria Changes In Nosocomial Infectio

Purpose:Through a retrospective analysis of the characteristics of traditional Chinese medicine(TCM)symptoms,TCM syndrome types,and the correlation between TCM symptoms and pathogenic microorganisms of patients with bacteremia in hospital infections,as well as the current status of changes in hospital induced pathogens and drug resistance,we aim to understand the distribution of TCM symptoms and syndrome types,changes in pathogens,and drug resistance of patients with bacteremia in hospital infections in recent years,and grasp the characteristics and related development trends of hospital induced pathogens.Based on the differentiation of Weiqi Yingxue syndrome,this study provides a theoretical basis for traditional Chinese medicine treatment for patients,practical theoretical support for the current situation of hospital borne pathogens for patients,hospitals,and society,and provides reference for clinical diagnosis,social prevention,and epidemiological investigation.Method:Select the pathogenic bacteria detection data of a certain hospital’s laboratory from January 1st,2016 to December 31 st,2020,and enter it into Microsoft Excel data to establish a database.Search for relevant medical records in the database in the medical record room and exclude non hospital infection data.The drug sensitivity results were statistically analyzed using WHONET software to obtain pathogenic bacteria resistance data,counting data,and expressed in component ratio or component rate(%).Microsoft Excel was used for data integration.Traditional Chinese medicine data was inputted using Microsoft Excel,eliminating duplicate and incomplete data.Traditional Chinese medicine symptoms,frequency statistics,and percentage calculations(%)were performed.SPSS 26.0 was used to perform chi square tests on traditional Chinese medicine syndrome types and G-and G+,with P<0.05 having statistical significance.R4.2.1 and the cor function in Rstudio software were used to calculate the person correlation coefficients of the top 20 traditional Chinese medicine symptoms and pathogens,G-,and G+,and heat maps were used for visualization.Results:1.Among patients with bacteremia,the more frequent symptoms in traditional Chinese medicine include fever,bloating,excessive sweating,dry stools,redness of the tongue,and pulse count.2.Among patients with bacteremia,the Wei Qi syndrome accounts for 62.11%,while the Ying Xue syndrome accounts for 37.89%.3.The correlation interval between pathogenic microorganisms and traditional Chinese medicine symptoms is [-0.17,0.34].There is a certain statistical difference between G-,G+and Wei Qi Ying Xue syndrome.4.Among hospital infected individuals,the number of male infections is slightly higher than that of female infections.The samples submitted for examination are mostly sputum,urine,wound secretions,and blood.5 Pathogenic bacteria and drug resistance rate results5.1 Among the pathogenic bacteria in 5.1,G-accounts for 71%,with Escherichia coli(22%-23%)and Pseudomonas aeruginosa(12%-14%)accounting for a relatively high proportion.The changes in the two tend to stabilize,while Klebsiella pneumoniae(8%-13%)has a large range of changes,showing a steady upward trend.The other G-are all below 10%,with small changes.The proportion of G+is 29%,with only Staphylococcus aureus accounting for more than 10%,with a variation range of(10%-12%)and tending to stabilize.The remaining G+changes are not significant.5.2 Among Enterobacteriaceae,the resistance rate to carbapenems was basically unchanged in Escherichia coli(up to 2.1%);Klebsiella pneumoniae increased significantly(1.6%-16.7%);Enterobacteriaceae cloacae increased slightly,but the overall level was below 10%;Imipenem of Proteus mirabilis is higher than meropenem and lower overall.5.3 The resistance rate of Pseudomonas aeruginosa to piperacillin has increased by about 10%compared to its compound formulation.The overall resistance rate to imipenem was higher than that to meropenem,but both were below 40% and fluctuated within the range.5.4 Acinetobacter baumannii generally has a high resistance rate to the vast majority of antibacterial drugs,with fluctuations ranging from 60% to 70% for carbapenems.5.5 The resistance rate of Staphylococcus epidermidis to oxacillin was higher and increased,more than 60%,while that of Staphylococcus aureus was lower and fluctuated slightly(11.2%-16.6%).Conclusion:1.Among patients with bacteremia,traditional Chinese medicine(TCM)symptoms are mainly characterized by qi disease,with G: G+being 55.07%: 44.73%,Wei Qi Fen Syndrome accounting for 62.11%,Ying Xue Fen Syndrome accounting for 37.89%.This is consistent with the fact that big data clinical bacteremia patients are mainly characterized by Wei Fen Syndrome and Qi Fen Syndrome.TCM symptoms are consistent with the development and changes of clinical diseases.2.In hospital infections,G-: G+is 71%: 29%,and the main pathogenic bacteria are Escherichia coli,Pseudomonas aeruginosa,Klebsiella pneumoniae,Staphylococcus aureus,etc.The above conclusions are consistent with CHINET’s big data clinical research.3.The pathogenic bacteria in the hospital are G-medium.Although the resistance rates of Escherichia coli and Klebsiella pneumoniae to carbapenems are low,the resistance rates of the latter fluctuate greatly and increase year by year,reaching 16.7%.Acinetobacter baumannii shows an extremely high resistance rate to carbapenems and third-generation cephalosporins(54%-71.20%);In G+,Staphylococcus aureus,Enterococcus and Staphylococcus epidermidis have low resistance rates to vancomycin and linezolid,basically below 10%,and most of them have no resistance.The above results are basically consistent with the big data of bacterial resistance monitoring in China.