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Bibliometric Analysis Of Diabetic Urinary Tract Infection And Construction Of Risk Prediction Model

Posted on:2022-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:T T SongFull Text:PDF
GTID:2494306317464584Subject:Nursing
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Objectives:1.The risk factors of patients with diabetic urinary tract infection were analyzed by bibliometrics to understand the research status of the risk factors of diabetic urinary tract infection in China,so as to make early preparation for further research.2.The risk factors of UTI in diabetic patients were analyzed to provide a basis for the construction of risk prediction model.3.Establish and verify the UTI risk prediction model for diabetic patients.Methods:Bibliometrics analysis of diabetic urinary tract infection: The four major Chinese databases from December 2020 to the database establishment were retrieved.The researchers of the research group screened the literatures with Note Express 3.2.0 software,and the data were analyzed and processed statistically by Excel2019.Modeling group,590 cases of patients with single factor analysis was statistically significant factors,there are complications,cerebrovascular disease,dementia,course of diseases,hospitalization days,BMI,Hb A1 c,propagated was statistically significant(P <0.05),is the influence factors of UTI in patients with diabetes,the type of diabetes,myocardial infarction,congestive heart failure,peripheral vascular disease,chronic obstructive pulmonary disease,peptic ulcer disease,abnormal thyroid function,fasting blood glucose,BUN,Scr and 24 hours urinary protein,treatment and other aspects of comparison,there was no statistically difference(P > 0.05).3.Establish a risk prediction model based on risk factors,and verify the sensitivity and specificity of the prediction model by the validation group.Results1.A total of 65 valid literatures were included,and the number of published papers showed an increasing trend with time;The publishing area is concentrated in the southeast coastal provinces;Funding started in 2013,a relatively late start;The risk factors of urinary tract infection in diabetic patients mainly include six aspects: social demography,disease,past and personal history,biological markers,iatrogenic factors,and treaty-related factors.2.Modeling group,590 cases of patients with single factor analysis was statistically significant factors,whether there are complications,merging,cerebrovascular disease,dementia,duration,hospitalization days,BMI,Hb A1 c,propagated is the influence factors of UTI diabetes(P < 0.05),and type of diabetes,whether merger myocardial infarction,congestive heart failure,peripheral vascular disease,chronic obstructive pulmonary disease,peptic ulcer disease,abnormal thyroid function,fasting blood glucose,BUN,Scr and 24 hours urinary protein,treatment and other aspects of comparison,there was no statistically difference(P > 0.05).3.In model group,590 cases of patients with multiple factors analysis was statistically significant factors,cerebrovascular disease(OR = 2.884,P = 0.012),dementia(OR = 0.12,P < 0.001),hospitalization days(OR = 1.104,P = 0.006),BMI(OR = 0.826,P < 0.001),Hb A1c(OR = 1.429,P < 0.001),propagated(OR = 1.089,P = 0.013)is a risk factor for diabetes in UTI(P < 0.05).4.Six risk factors were included in the regression model to construct and verify the UTI prediction model for diabetic patients.Conclusion:1.In China,the research on the risk factors of diabetic urinary tract infection has gradually attracted attention,but the number of published papers is relatively small,and further research is needed to clarify the risk factors of diabetic urinary tract infection.2.The risk factors for UTI in diabetic patients are as follows: cerebrovascular disease,dementia,length of hospital stay,BMI,Hb A1 c,and ALB.3.The established risk prediction model has a good prediction effect on the risk of UTI of diabetic patients in both the modeling group and the validation group,providing reference for preventive treatment and nursing intervention.
Keywords/Search Tags:Diabetes mellitus, Urinary tract infection, Risk factors, Bibliometrics Analysis, Risk forecasting model
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