Abstract：Objective： To establish a nomographic prediction model of prostatic hyperplasia in metabolic syndrome. Methods： The data of 1000 male physical examiners who underwent physical examination in our hospital from January to April 2019 were collected and followed up for 1.5 years. Finally, 690 subjects were included in the analysis, of which 185 cases developed metabolic syndrome. According to whether BPH occurred, they were divided into 45 cases in BPH group and 140 cases in non BPH group. The two groups of metabolic indexes were compared, the independent risk factors were selected by multivariate logistic regression analysis, the prediction model was constructed, and the nomogram was drawn. Results： Multivariate logistic regression analysis showed that BMI, blood glucose, triglyceride and low density lipoprotein were independent risk factors for BPH, and their oR were 1.455 （95% CI： 1.296-1.633）, 1.516 （95% CI： 1.258-1.828）, 1.400 （95% CI： 1.095-1.791） and 1.463 （95% CI： 1.156-1.851） respectively. The nomogram used to predict BPH risk showed a good consistency coefficient, with a c-index of 0.857. Conclusion： Different metabolic indexes can affect the occurrence and development of BPH. Using the nomogram to predict the risk is helpful to make the communication between doctors and patients more intuitive and quantitative.
任瑞民, 马丁, 付永强, 尚吉文. 代谢综合征后前列腺增生风险预测列线图模型的建立[J]. 微创泌尿外科杂志, 2022, 11(1): 43-46.
Ren Ruimin, Ma Ding, Fu Yongqiang, Shang Jiwen. Establishment of nomogram prediction model for BPH in metabolic syndrome. JOURNAL OF MINIMALLY INVASIVE UROLOGY, 2022, 11(1): 43-46.
[1] KWON T, PARK S, PARK S, et al. Metabolic syndrome is predictive of lower urinary tract symptom improvement after holmium laser enucleation of the prostate for benign prostatic obstruction[J]. Int Urol Nephrol, 2017,49(7):1105-1110. [2] VIKRAM A, JENA GB, RAMARAO P. Increased cell proliferation and contractility of prostate in insulin resistant rats: linking hyperinsulinemia with benign prostate hyperplasia[J]. Prostate,2010,70(1):79-89. [3] TURGUT F, BAYRAK O, KANBAY M, et al. Circadian rhythm of blood pressure in patients with benign prostatic hyperplasia[J]. Scand J Urol Nephrol, 2008, 42(1):47-52. [4] 中华医学会糖尿病学分会代谢综合征研究协作组.中华医学会糖尿病学分会关于代谢综合征的建议[J].中华糖尿病杂志,2004,12(3):156-161. [5] 田野,邵强,宋健,等.北京多中心社区良性前列腺增生患病率调查:BPC-BPH研究结果[J].中华泌尿外科杂志,2010,31(3):194-198. [6] OZDEN C, OZDAL OL, URGANCIOGLU G, et al. The correlation between metabolic syndrome and prostatic growth in patients with benign prostatic hyperplasia[J]. Eur Urol, 2007,51(1):199-206. [7] HAMMARSTEN J, Högstedt B. Hyperinsulinaemia as a risk factor for developing benign prostatic hyperplasia[J]. Eur Urol 2001;39:151-158. [8] AGAMIA NF, ABOU YOUSSIF T, EL-HADIDY A, et al. Benign prostatic hyperplasia, metabolic syndrome and androgenic alopecia: Is there a possible relationship?[J] Arab J Urol, 2016 ,14(2):157-162. [9] XIONG Y, ZHANG Y, TAN J, et al. The association between metabolic syndrome and lower urinary tract symptoms suggestive of benign prostatic hyperplasia in aging males: evidence based on propensity score matching[J]. Transl Androl Urol, 2021,10(1):384-396.
