Correlation between Diagnostic Indicators of Metabolic Syndrome and Severe Benign Prostatic Hyperplasia

  Objective  To investigate the correlation of metabolic syndrome (MetS) and its diagnostic indicators with the total prostate volume (TPV), annual prostate growth volume(APV), lower urinary tract symptoms (LUTS), urodynamic parameters, and prostate specific antigen (PSA) in patients with severe benign prostatic hyperplasia (BPH).

  Methods  The medical records of patients with severe BPH diagnosed and treated surgically in the urology department of Peking University People's Hospital from September 2013 to June 2018 were retrospectively reviewed. The patients were divided into two groups according to whether they were complicated with MetS. Compare the differences of prostate-related indicators in BPH patients with or without MetS and different diagnostic indicators. Then Spearman correlation analysis and multiple linear regression analysis were used to analyze the correlation of MetS and its diagnostic indicators with prostate-related factors.

  Results  A total of 309 BPH patients who met the inclusion and exclusion criteria were selected for this study. Among them, 143 cases (46.28%) were in the group of BPH with MetS, and 166 cases (53.72%) in the group of BPH without MetS. The smoking rate, body mass, body mass index, systolic blood pressure, diastolic blood pressure, fasting blood glucose (FBG) and triglyceride of the group of BPH with MetS were significantly higher than those of the group of BPH without MetS (all P < 0.001); the waist circumference (WC) of the group of BPH with MetS was longer than that of the group of BPH without MetS (P < 0.001). In the group of BPH with MetS, high-density lipoprotein cholesterol (HDL-C) was significantly lower than that of the group of BPH without MetS(P < 0.001). There was no statistically significant difference in age, height, and drinking rate between the two groups (P > 0.05). The TPV of BPH patients with elevated FBG was greater than that of those without elevated FBG (P < 0.05). Spearman correlation analysis showed that FBG was positively correlated with TPV (r_s=0.189, P=0.004) and APV(r_s=0.164, P=0.014); FBG≥5.6 mmol/L was related to TPV (r_s =0.174, P=0.009); history of diabetes and the rest of MetS diagnostic indicators were not related to prostate-related factors. Multiple linear regression analysis showed that FBG had a significant effect on TPV (β=0.143, P=0.032) and APV (β=0.136, P=0.043), and the rest of MetS diagnostic indicators had no significant effects on all prostate-related factors.

  Conclusions  In patients with severe BPH requiring surgery, BPH complicated with MetS was common. Elevated FBG might be related to the increase of TPV and APV in patients with BPH. It has not been discovered other diagnostic indicators of MetS were correlated with prostate-related factors.