出 处:《临床泌尿外科杂志》2025年第1期75-80,共6页Journal of Clinical Urology
基 金:湖北省重点实验室开放基金项目(No:ZZYKF202204)。
摘 要:目的:分析前列腺癌根治术后生化复发的危险因素并构建风险预测模型。方法:回顾性分析2020年6月—2023年6月在我院治疗的105例前列腺癌患者的临床资料,使用单因素和多因素Cox回归模型分析生化复发事件的影响因素并进行模型评价,构建风险预测方程和列线图预测生化复发的风险,最后对单个独立危险因素和多因素风险预测模型进行生存分析。结果:共纳入患者105例,其中生化复发27例(25.7%),中位生化复发时间140(100,310)d。单因素Cox回归模型发现7个指标均是生化复发的危险因素,通过逐步回归建立多因素Cox回归模型,结果显示切缘阳性(HR=2.82,95%CI:1.10~7.22,P=0.031)、包膜侵犯(HR=2.89,95%CI:1.01~8.24,P=0.047)、术前总前列腺特异性抗原(total prostate specific antigen,tPSA)(HR=1.04,95%CI:1.00~1.09,P=0.030)均为前列腺癌根治术后生化复发的独立危险因素。受试者工作特征(receiver operating characteristic,ROC)曲线表明风险预测模型的预测效果显著优于单个独立危险因素。生存分析的Kaplan-Meier曲线图表明单个独立危险因素及风险预测模型不同分组的生存率均有显著差异。结论:切缘阳性、包膜侵犯、术前tPSA是前列腺癌根治术后生化复发的独立危险因素和独立预后因子,构建的风险预测方程和列线图能有效预测生化复发的风险,对前列腺癌根治术后患者预测生化复发及个体化诊疗具有重要意义。Objective:To analyze the risk factors in biochemical recurrence after radical prostatectomy and to construct a risk prediction model.Methods:The clinical data of 105 patients with prostate cancer treated in ours hospital from June 2020 to June 2023 were retrospectively analyzed.Univariate and multivariate Cox regression models were used to analyze the influencing factors in biochemical recurrence events and model evaluation was performed.The risk prediction equation and nomogram were constructed to predict the risk of biochemical recurrence.Finally,the survival analysis of single independent risk factor and multi-factor risk prediction model was carried out.Results:A total of 105 patients were included,of which 27(25.7%)had biochemical recurrence,with a median biochemical recurrence time of 140(100,310)days.Univariate Cox regression model found that 7 indicators were risk factors in biochemical recurrence.Multivariate Cox regression model was established by stepwise regression.The results showed that positive resection margin(HR=2.82,95%CI:1.10-7.22,P=0.031),capsular invasion(HR=2.89,95%CI:1.01-8.24,P=0.047),preoperative total prostate specific antigen(tPSA)(HR=1.04,95%CI:1.00-1.09,P=0.030)were independent risk factors in biochemical recurrence after radical prostatectomy.The ROC curve showed that the prediction effect of the risk prediction model was significantly better than that of a single independent risk factor.The Kaplan-Meier curve of survival analysis showed that survival rates in the different groups of three independent risk factors and risk prediction models were significantly different.Conclusion:Positive resection margin,capsular invasion and preoperative tPSA are independent risk factors and independent prognostic factors in biochemical recurrence after radical prostatectomy.The constructed risk prediction equation and nomogram can effectively predict the risk of biochemical recurrence,which is of great significance for predicting biochemical recurrence and individualized diagnosis and treatment of
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