Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
BJU Int. 2015 Feb;115(2):308-16. doi: 10.1111/bju.12802. Epub 2014 Aug 13.
To better risk stratify patients, using baseline characteristics, to help optimise decision-making for men with moderate-to-severe lower urinary tract symptoms (LUTS) secondary to benign prostatic hyperplasia (BPH) through a secondary analysis of the Medical Therapy of Prostatic Symptoms (MTOPS) trial.
After review of the literature, we identified potential baseline risk factors for BPH progression. Using bivariate tests in a secondary analysis of MTOPS data, we determined which variables retained prognostic significance. We then used these factors in Cox proportional hazard modelling to: i) more comprehensively risk stratify the study population based on pre-treatment parameters and ii) to determine which risk strata stood to benefit most from medical intervention.
In all, 3047 men were followed in MTOPS for a mean of 4.5 years. We found varying risks of progression across quartiles. Baseline BPH Impact Index score, post-void residual urine volume, serum prostate-specific antigen (PSA) level, age, American Urological Association Symptom Index score, and maximum urinary flow rate were found to significantly correlate with overall BPH progression in multivariable analysis.
Using baseline factors permits estimation of individual patient risk for clinical progression and the benefits of medical therapy. A novel clinical decision tool based on these analyses will allow clinicians to weigh patient-specific benefits against possible risks of adverse effects for a given patient.
利用基线特征对患者进行更好的风险分层,通过对前列腺症状医学治疗(MTOPS)试验的二次分析,帮助优化中重度下尿路症状(LUTS)继发于良性前列腺增生(BPH)的男性的决策制定。
在对文献进行回顾后,我们确定了 BPH 进展的潜在基线风险因素。在 MTOPS 数据的二次分析中使用双变量检验,我们确定了哪些变量保留了预后意义。然后,我们使用这些因素在 Cox 比例风险模型中:i)根据治疗前参数更全面地对研究人群进行风险分层,ii)确定哪些风险分层最能从药物干预中获益。
共有 3047 名男性在 MTOPS 中平均随访 4.5 年。我们发现各四分位组的进展风险不同。BPH 影响指数评分、残余尿量、前列腺特异性抗原(PSA)水平、年龄、美国泌尿外科学会症状指数评分和最大尿流率在多变量分析中与总体 BPH 进展显著相关。
使用基线因素可以估计个体患者的临床进展风险和药物治疗的获益。基于这些分析的新型临床决策工具将使临床医生能够权衡患者特定的获益与给定患者可能出现不良反应的风险。