Preliminary Study On The Relationship Between Prostate Volume And Single Obesity,Age And PSA In BPH Patients

Objectives Preliminary study on the relationship between the prostate volume of patients with Benign Prostatic Hyperplasia(BPH)and single obesity(without associated metabolic syndrome),age,and PSAMethod;A retrospective collection of 534 BPH patients admitted to the Department of Urology,Second Affiliated Hospital of Kunming Medical University from January 2018 to December 2019,aged over 50 years,will be combined with obesity-related metabolic diseases(hypertension,diabetes,cardiovascular Disease,dyslipidemia,etc.)were excluded,and the remaining 200 patients were the study subjects.All patients used the ultrasound department of our hospital to measure the prostate size by double-blind prostate color Doppler ultrasound,and calculate the prostate volume(Prostate Volume,PV),while measuring residual urine(Residual Urinary Volume.RUV),maximum urinary flow rate(Qmax)),International Prostate Symptom Score(I-PSS);Consult patients through questionnaires,including medical history,drinking and smoking,regular exercise,and daily nutrition intake;Blood indexes include Fasting Blood Glucose(FBG),Total Cholesterol(TC)Triglyceride(TG),High Density Lipoprotein Cholesterol(HDL-C),and Low Density Lipoprotein Cholesterol(Low Density Lipoprotein Cholesterol(LDL-C)and Prostate Specific Antigen(PSA);Blood pressure,weight,Waist Circle(WC)and hip circumference were measured,and Body Mass Index(BMI)and Waist Hip Ratio(WHR)were calculated.According to the 2015 Chinese Obesity Guidelines diagnostic criteria grouping:BMI is between 18.5 and 23.9 kg/m2 is the normal group,between 24.0 and 27.9 kg/m2 is the super-reorganization,and?28.0 kg/m2 is the obese group;male WC 90cm is the normal group,male WC>90cm is the obese group;WHR?0.9 is the normal group,>0.9 is the central obesity group;PV was divided into three groups at 10ml intervals(30?PV<40ml;40?PV<50ml;50?PV<60ml).The relationship between BMI group,WC group,WHR group and PV,RUV,IPSS,Qmax was analyzed.The relationship between PV,PSA and age was analyzed.The regression linear relationship between PSA,age and PV,and PSA The age index roughly predicts the ROC curve of PV.Results:BMI group,WC group and WHR group patients age,fasting blood glucose,systolic blood pressure,total cholesterol,triglycerides,low density lipoprotein cholesterol,high density lipoprotein cholesterol,total calorie intake,average daily carbohydrate,fat,protein and There was no statistically significant difference between smoking,drinking and regular exercise(P>0.05),and the diastolic blood pressure was found to be statistically significant in the BMI group(P<0.05);Compared with the indicators in the BMI group,WC group and WHR group,compared with patients in the normal group,PV,RUV,and IPSS in the hyperrecombined and/or obese groups were increased,and the differences were statistically significant(P<0.05);The Qmax of the group was lower than that of the super-recombinant and/or obese groups,and the difference was statistically significant(P<0.05);In addition,the difference of PSA in normal group,hyperrecombination and/or obesity group was not statistically significant(P>0.05);Spearman correlation analysis results of BMI group,WC group and WHR group with PV,PSA,age,RUV,Qmax and IPSS showed that BMI group,WC group and WHR group were positively correlated with PV,RUV,IPSS,and negatively correlated with Qmax.PV was divided into three groups of 30?40ml,40?50ml and 50?60ml according to the interval of 10ml.The results showed that there was statistically significant difference in PSA and age between PV groups(P<0.05).Pearson correlation analysis of PV,PSA and age found that age was positively correlated with PV(r:0.822,p<0.05),and PSA was positively correlated with PV(r:0.608,p<0.05).There was a positive correlation between age and PSA(r:0.541,p<0.05).Linear regression analysis between PSA,age,and PV showed that there was a significant correlation between age and PV(PV=11.06+0.49*age,R2=0.675,P<0.05);there was a significant correlation between PSA and PV(PV=32.09+4.17*PSA,R2=0.367,P<0.05).Age roughly predicts that the area under curve(AUC)of the ROC curve with PV?40ml is 0.895.the sensitivity and specificity are 81.3%and 95.0%,respectively,and the critical age is 59 years.Age roughly predicts that the area under the ROC curve(AUC)of PV?50ml is 0.899,the sensitivity and specificity are 100.0%and 87.0%,respectively,and the diagnostic threshold for age is 70 years.The PSA roughly predicts the area under the ROC curve(AUC)of PV?40ml is 0.815,the sensitivity and specificity are 73.1%and 87.5%,and the critical value of PSA is 2.5 lng/ml.The PSA roughly predicted the area under the ROC curve(AUC)of PV?50ml was 0.946,and the sensitivity and specificity were 86.7%and 91.4%,respectively.The diagnostic critical value of PSA was 3.02ng/mlConclusions:1.BMI,WC,and WHR are closely related to BPH,which are positively related to PV,RUV,and IPSS,respectively,and negatively related to Qmax.Obesity may affect PV and LUTS symptoms of BPH patients;2.PV and PSA are closely related to age,PV is positively related to age,PV and PSA are positively related,and PSA is positively related to age;3.Linear regression analysis shows that there is a significant linear relationship between PSA,age,and PV.At the same time,PSA and age can roughly predict the risk of PV growth.PSA and patients with higher age levels have increased PV;4.For patients with prostate disease,patients should be combined Individuals were analyzed for specific conditions such as obesity,PV,age.and PSA.