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作 者:樊松[1] 刘祎[1] 虞勤舟 张蒙 陈晶[1] 张贤生[1] 梁朝朝[1] Fan Song;Liu Yi;Yu Qinzhou;Zhang Meng;Chen Jing;Zhang Xiansheng(Department of Urology,the First Affiliated Hospital of Anhui Medical University)
机构地区:[1]安徽医科大学第一附属医院泌尿外科,安徽合肥230022
出 处:《中国男科学杂志》2020年第4期7-12,共6页Chinese Journal of Andrology
基 金:国家自然科学基金(81802827,81630019);安徽省高校自然科学研究重点项目(KJ2019A0277)。
摘 要:目的本研究旨在分析慢性前列腺炎/慢性盆腔疼痛综合征患者抑郁症状的临床危险因素,并建立预测模型。方法收集2019年3月至2020年1月安徽医科大学第一附属医院泌尿外科门诊283例慢性前列腺炎/慢性盆腔疼痛综合征患者的临床资料。采用多变量logistic回归方法筛选临床危险因素,然后将差异显著的危险因素整合分析,构建临床预测模型。结果在一周内患者有无腰部以下,膀胱或耻骨区疼痛或不适、有无射精后或性交期间疼痛或不适、有无两小时内排尿、有无对生活质量影响、有无憋尿5种因素与慢性前列腺炎/慢性盆腔疼痛综合征抑郁症状显著相关。曲线下面积在分析组和验证组中分别为0.7105882和0.7445378。决策曲线分析显示该模型在分析组中的阈值概率从22%到68%,在验证组中从28%到80%受益,提示该模型具有良好的区分度和一致性。结论基于以上5种危险因素构建的慢性前列腺炎/慢性盆腔疼痛综合征抑郁预测模型具有较好的预测性能,有助于对慢性前列腺炎/慢性盆腔疼痛综合征患者发生抑郁症状进行早期干预。Objective To analyze the risk factors of depressive symptoms in patients with CP/CPPS for establishing a prediction model.Methods Clinical data of 283 patients with CP/CPPS,who had visited the outpatient clinic of the Department of Urology First Affiliated Hospital,Anhui Medical University from March 2019 to January 2020,were collected and retrospectively analyzed.Multivariable logistic regression method was used to screen the clinical risk factors,and the risk factors that had a significant difference were integrated and analyzed for constructing prediction model.Results Five factors including pain or discomfort below waist such as pelvic or bladder area during one week,pain or discomfort during or after sexual climax(ejaculation)during one week,urinating within two hours during two weeks,impact of life quality during one week,holding back urine during two weeks were closely correlated with CP/CPPS depressive symptoms.The AUC in the analysis group and validation group was 0.7105882 and 0.7445378,respectively.The analysis of the decision curve shows that the probability of threshold in the analysis group was from 22%to 68%and in the validation group,the model is benefited from28%to 80%,suggesting that this model has good discrimination and consistency.Conclusion The established prediction model with good performance will be helpful to give an early intervention for depressive symptoms in CP/CPPS patients.
关 键 词:慢性前列腺炎/慢性盆腔疼痛综合征(CP/CPPS) 抑郁 危险因素
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