Department of Urology, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
Asian J Androl. 2013 Mar;15(2):249-53. doi: 10.1038/aja.2012.132. Epub 2013 Jan 28.
The aim of this study is to assess the ability of serum prostate-specific antigen (PSA) to predict prostate volume (PV) and lower urinary tract symptoms (LUTS) represented by the international prostate symptom score (IPSS). From January 2001 to December 2011, data were collected from men who first enrolled in the Korean Prostate Health Council Screening Program. Patients with a serum PSA level of >10 ng ml(-1) or age <40 years were excluded. Accordingly, a total of 34 857 men were included in our study, and serum PSA, PV and the IPSS were estimated in all patients. Linear and age-adjusted multivariate logistic analyses were used to assess the potential association between PSA and PV or IPSS. The predictive value of PSA for estimating PV and IPSS was assessed based on the receiver operating characteristics-derived area under the curve (AUC). The mean PV was 29.9 ml, mean PSA level was 1.49 ng ml(-1) and mean IPSS was 15.4. A significant relationship was shown between PSA and PV, and the IPSS and PSA were also significantly correlated after adjusting by age. The AUCs of PSA for predicting PV >20 ml, >25 ml and >35 ml were 0.722, 0.728 and 0.779, respectively. The AUCs of PSA for predicting IPSS >7, >13 and >19 were 0.548, 0.536 and 0.537, respectively. Serum PSA was a strong predictor of PV in a community-based cohort in a large-scale screening study. Although PSA was also significantly correlated with IPSS, predictive values of PSA for IPSS above the cutoff levels were not excellent. Further investigations are required to elucidate the exact interactions between PSA and LUTS and between PSA and PV in prospective controlled studies. Such studies may suggest how PSA can be used to clinically predict PV and the IPSS.
本研究旨在评估血清前列腺特异性抗原 (PSA) 预测前列腺体积 (PV) 和下尿路症状 (LUTS) 的能力,LUTS 以国际前列腺症状评分 (IPSS) 表示。2001 年 1 月至 2011 年 12 月,从首次参加韩国前列腺健康协会筛查计划的男性中收集数据。排除 PSA 水平>10ng/ml 或年龄<40 岁的患者。因此,共有 34857 名男性纳入本研究,所有患者均估计了血清 PSA、PV 和 IPSS。采用线性和年龄调整多变量逻辑分析评估 PSA 与 PV 或 IPSS 之间的潜在关联。根据接收者操作特征得出的曲线下面积 (AUC) 评估 PSA 估计 PV 和 IPSS 的预测价值。平均 PV 为 29.9ml,平均 PSA 水平为 1.49ng/ml,平均 IPSS 为 15.4。PSA 与 PV 之间存在显著关系,并且在调整年龄后,PSA 与 IPSS 之间也存在显著相关性。PSA 预测 PV>20ml、>25ml 和>35ml 的 AUC 分别为 0.722、0.728 和 0.779。PSA 预测 IPSS>7、>13 和>19 的 AUC 分别为 0.548、0.536 和 0.537。在大规模筛查研究的基于社区的队列中,血清 PSA 是 PV 的有力预测因子。尽管 PSA 与 IPSS 也显著相关,但 PSA 对截定点以上 IPSS 的预测值并不优秀。需要进一步研究阐明 PSA 与 LUTS 之间以及 PSA 与 PV 之间的确切相互作用。这些研究可能表明如何在临床实践中使用 PSA 预测 PV 和 IPSS。