老年人代谢综合征与良性前列腺增生的关系

目的 回顾性分析老年代谢综合征(MS)与良性前列腺增生(BPH)的关系.方法 老年男性859名,其中单纯MS患者8例,单纯BPH患者619例,两种疾病并存者192例,未患病者40例.检测空腹血糖(FBG)、总胆固醇(TC)、三酰甘油(TG)、低密度脂蛋白胆固醇(LDL-C)、高密度脂蛋白胆固醇(HDL-C),并计算体质指数(BMI)、前列腺体积及前列腺年增长率(PG),分析代谢性危险因素与BPH的相关性.结果 BPH患者MS组与非MS组相比收缩压、舒张压、体质量、BMI、TG及FBG偏高(t=6.15、5.99、13.12、15.56、10.63、9.94,均P＜0.01),HDL-C浓度偏低(t=-7.57,P＜0.01);随着MS组分个数的增加,前列腺体积增加(F=2.98,P=0.031);随着年龄、体质量、BMI、收缩压、PG的增加,前列腺体积增大(t值分别为-6.39、-2.39、-2.36、-2.13、-25.85,均P＜0.05);前列腺体积与年龄、收缩压、体质量、BMI、血压升高呈正相关(r值分别为0.229、0.079、0.090、0.089、0.088,均P＜0.05);非条件Logistic回归分析校正混杂因素后,年龄、体质量和收缩压＞130 mm Hg(1 m Hg=0.133 kPa)为前列腺增生的独立相关因素(OR值分别为1.07、1.03、1.34,均P＜0.05).结论 老年患者BPH与MS有关,MS可能参与老年人BPH的发生发展过程,但其机制尚有待进一步研究.

Abstract：

Objective To retrospectively analyze the relationship between benign prostatic hyperplasia (BPH) and metabolic syndrome (MS) in senior patients. Methods The 859 male senior patients including 619 cases with BPH and 8 cases with MS were enrolled in this study, and there were 192 cases with both diseases and 40 controls. The levels of fasting blood glucose (FBG), total cholesterol (TC), triacylglycerol (TG), low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) were measured. The body mass index (BMI), prostate volume and annual prostate growth rate were determined or calculated. The correlations of BPH with other metabolic risk factors were analyzed. Results The levels of systolic blood pressure (SBP), diastolic blood pressure (DBP), body weight, BMI, TG and FPG were higher (t=6.15, 5.99, 13.12, 15.56, 10.63 and 9.94, all P＜0.01), while serum HDL-C level was lower (t=-7.57,P＜0.01) in BPH patients with MS than without MS. As the number of components of MS was increased, the prostate volume was increased (F=2.98, P=0.031). As the age, body weight, BMI, SBP and PG were increased, the prostate volume was increased (t=-6.39,-2.39,-2.36,-2.13,-25.85,all P＜0.05). Spearman analysis showed that prostate volume was positively correlated with age, SBP, body weight, BMI and hypertension (r=0.229, 0.079, 0.090, 0.089 and 0.088, all P＜0.05). And age, body weight and SBP were the independent risk factors for BPH (OR=1.07, 1.03 and 1.34, all P＜0.05). Conclusions The present study demonstrates a relationship between BPH and MS in senior patients. Future studies are needed to confirm our results and to explain underlying mechanisms.

Correlation between metabolic syndrome and benign prostatic hyperplasia in senior patients

Objective To retrospectively analyze the relationship between benign prostatic hyperplasia (BPH) and metabolic syndrome (MS) in senior patients. Methods The 859 male senior patients including 619 cases with BPH and 8 cases with MS were enrolled in this study, and there were 192 cases with both diseases and 40 controls. The levels of fasting blood glucose (FBG), total cholesterol (TC), triacylglycerol (TG), low density lipoprotein cholesterol (LDL-C) and high density lipoprotein cholesterol (HDL-C) were measured. The body mass index (BMI), prostate volume and annual prostate growth rate were determined or calculated. The correlations of BPH with other metabolic risk factors were analyzed. Results The levels of systolic blood pressure (SBP), diastolic blood pressure (DBP), body weight, BMI, TG and FPG were higher (t=6.15, 5.99, 13.12, 15.56, 10.63 and 9.94, all P＜0.01), while serum HDL-C level was lower (t=-7.57,P＜0.01) in BPH patients with MS than without MS. As the number of components of MS was increased, the prostate volume was increased (F=2.98, P=0.031). As the age, body weight, BMI, SBP and PG were increased, the prostate volume was increased (t=-6.39,-2.39,-2.36,-2.13,-25.85,all P＜0.05). Spearman analysis showed that prostate volume was positively correlated with age, SBP, body weight, BMI and hypertension (r=0.229, 0.079, 0.090, 0.089 and 0.088, all P＜0.05). And age, body weight and SBP were the independent risk factors for BPH (OR=1.07, 1.03 and 1.34, all P＜0.05). Conclusions The present study demonstrates a relationship between BPH and MS in senior patients. Future studies are needed to confirm our results and to explain underlying mechanisms.