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Analysis Of The Effect Of Metabolic Syndrome On The Development Of Prostatic Hyperplasia

Posted on:2023-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:M J HuangFull Text:PDF
GTID:2544307070496704Subject:Clinical medicine
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Background: With the increasing prevalence of obesity in recent years and the gradual aging of the population,the incidence of prostatic hyperplasia that plagues middle-aged and older men has become apparent.The available epidemiological,clinical and laboratory evidence suggests a strong association between the metabolic syndrome manifested by obesity,and the development of prostate hyperplasia.Screening for people at risk for prostate enlargement through physical examination and timely intervention before they become ill would improve the quality of life for individuals and reduce a significant economic burden for society.Methods: Men aged over 45 years old who underwent health examination at the Health Management Center of the second Xiangya Hospital,Central South University,Hunan Province,from June to December 2020 were enrolled in study.The data was collected including basic anthropometric indexes,lipid parameters,and six anthropometric indicators,prostate-specific antigen,and total prostate volume.Binary logistic regression was applied to identify the odds ratios(OR)with 95%confidence intervals(95% CI)for all anthropometric indicators and BPH.Receiver operating characteristics(ROC)curves and the respective areas under the curves(AUC)were utilized to compare the diagnostic capacity of each indicator for BPH and to determine the optimal cutoff points.Results: All six indicators had diagnostic value for the development and progression of benign prostate hyperplasia,with VAI having the highest AUC for both development and disease progression,followed by CMI,LAP,WHR,WHt R,and BMI,respectively.Binary logistic regression analysis showed that after correcting for potential confounding variables such as age,PSA,and lipid parameters,only VAI was a high risk factor for prostate enlargement,whereas CMI,WHt R significantly improved the diagnostic predictability of prostate enlargement disease progression.Conclusion: BMI,WHt R,WHR,VAI,CMI,and LAP have predictive diagnostic ability for the development of BPH in middle-aged and elderly men,and the application of suitable anthropometric indicators in different clinical realities can improve the predictive efficacy for prostate enlargement and disease progression.
Keywords/Search Tags:Benign prostate hyperplasia, obesity index, risk prediction, predictive value
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