J G Pan1, M Liu, X Zhou. 1. The Second Affiliated Hospital of Guangzhou Medical University, Changgang Dong Lu, No. 250, Guangzhou, 510260, China, thatdaypjg@163.com.
Abstract
OBJECTIVES: To investigate whether the metabolic syndrome (MetS) is a risk factor for lower urinary tract symptoms (LUTS), as defined by the International Prostate Symptom Score in a Chinese male population with benign prostate hyperplasia (BPH). METHODS: We retrospectively analyzed the clinical data obtained from 1,052 Chinese men with BPH. Serum levels of prostate specific antigen, fasting blood glucose (FBG), high-density lipoprotein cholesterol, total cholesterol and triglyceride were determined and recorded. Multiple logistic regression statistical analysis was used to investigate the degree of the association between LUTS and MetS. RESULTS: Of the 1,052 enrolled patients, 648 (61.60 %) had moderate LUTS and 404 (38.40 %) had severe LUTS. A multiple logistic regression analysis showed that age (OR 2.02, 95 % CI 1.04-4.63), FBG (OR 3.65, 95 % CI 1.68-7.98) and presence of MetS (OR 3.64, 95 % CI 1.24-6.14) were significant predictors of severe LUTS. CONCLUSIONS: The results of our study suggest that MetS is associated with an increase risk of total volume and annual growth rate of prostate.
OBJECTIVES: To investigate whether the metabolic syndrome (MetS) is a risk factor for lower urinary tract symptoms (LUTS), as defined by the International Prostate Symptom Score in a Chinese male population with benign prostate hyperplasia (BPH). METHODS: We retrospectively analyzed the clinical data obtained from 1,052 Chinese men with BPH. Serum levels of prostate specific antigen, fasting blood glucose (FBG), high-density lipoprotein cholesterol, total cholesterol and triglyceride were determined and recorded. Multiple logistic regression statistical analysis was used to investigate the degree of the association between LUTS and MetS. RESULTS: Of the 1,052 enrolled patients, 648 (61.60 %) had moderate LUTS and 404 (38.40 %) had severe LUTS. A multiple logistic regression analysis showed that age (OR 2.02, 95 % CI 1.04-4.63), FBG (OR 3.65, 95 % CI 1.68-7.98) and presence of MetS (OR 3.64, 95 % CI 1.24-6.14) were significant predictors of severe LUTS. CONCLUSIONS: The results of our study suggest that MetS is associated with an increase risk of total volume and annual growth rate of prostate.
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