Abstract：
UNASSIGNED: Prostate hyperplasia and cancer are more prevalent in middle-aged and elderly men. Previous studies have linked both disorders to androgen receptors. Herein, efforts were made to identify factors associated with prostate cancer in patients ≥60 years, aiming to enhance their health management.
UNASSIGNED: An analytical framework was established utilizing the \"Prostate Cancer Early Warning Dataset\" from the National Clinical Medical Science Data Center. Variables selection was conducted through LASSO regression, followed by multifactorial logistic stepwise regression to construct a predictive model.
UNASSIGNED: A total of 1,502 patients with BPH and 294 with combined PCa were hereby included. Multivariate regression delineated several independent predictors of PCa coexistence, including age (OR [95% CI]: 1.06 [1.04-1.09], p < 0.001), fPSA/tPSA ratio (OR [95% CI]: 0.01 [0.002-0.05], p < 0.001), serum inorganic phosphorus (OR [95% CI]: 5.85 [2.61-13.15], p < 0.001), globulin levels (OR [95% CI]: 1.06 [1.02-1.11], p = 0.005), serum potassium (OR [95% CI]: 0.58 [0.40-0.86], p = 0.006), low-density lipoprotein (LDL) cholesterol (OR [95% CI]: 1.28 [1.06-1.54], p = 0.009), among others.
UNASSIGNED: The analysis revealed connections between PCa occurrence in men aged over 60 and BPH, along with specific serum biomarkers such as inorganic phosphorus, globulin, LDL cholesterol, lower fPSA/tPSA ratios and serum potassium.
UNASSIGNED: An analytical framework was established utilizing the \"Prostate Cancer Early Warning Dataset\" from the National Clinical Medical Science Data Center. Variables selection was conducted through LASSO regression, followed by multifactorial logistic stepwise regression to construct a predictive model.
UNASSIGNED: A total of 1,502 patients with BPH and 294 with combined PCa were hereby included. Multivariate regression delineated several independent predictors of PCa coexistence, including age (OR [95% CI]: 1.06 [1.04-1.09], p < 0.001), fPSA/tPSA ratio (OR [95% CI]: 0.01 [0.002-0.05], p < 0.001), serum inorganic phosphorus (OR [95% CI]: 5.85 [2.61-13.15], p < 0.001), globulin levels (OR [95% CI]: 1.06 [1.02-1.11], p = 0.005), serum potassium (OR [95% CI]: 0.58 [0.40-0.86], p = 0.006), low-density lipoprotein (LDL) cholesterol (OR [95% CI]: 1.28 [1.06-1.54], p = 0.009), among others.
UNASSIGNED: The analysis revealed connections between PCa occurrence in men aged over 60 and BPH, along with specific serum biomarkers such as inorganic phosphorus, globulin, LDL cholesterol, lower fPSA/tPSA ratios and serum potassium.
摘要：
■前列腺增生和癌症在中老年男性中更为普遍。以前的研究已经将这两种疾病与雄激素受体联系起来。在这里，努力确定与≥60岁患者前列腺癌相关的因素，旨在加强他们的健康管理。
■利用国家临床医学科学数据中心的“前列腺癌早期预警数据集”建立了一个分析框架。通过LASSO回归进行变量选择，其次是多因素Logistic逐步回归，构建预测模型。
■特此包括总共1,502名BPH患者和294名合并PCa患者。多元回归描绘了PCa共存的几个独立预测因子，包括年龄(OR[95%CI]：1.06[1.04-1.09]，p<0.001)，fPSA/tPSA比值（OR[95%CI]：0.01[0.002-0.05]，p<0.001)，血清无机磷（OR[95%CI]：5.85[2.61-13.15]，p<0.001)，球蛋白水平（OR[95%CI]：1.06[1.02-1.11]，p=0.005),血清钾（OR[95%CI]：0.58[0.40-0.86]，p=0.006),低密度脂蛋白（LDL）胆固醇（OR[95%CI]：1.28[1.06-1.54]，p=0.009),在其他人中。
■分析揭示了60岁以上男性PCa的发生与BPH之间的联系，以及特定的血清生物标志物，如无机磷，球蛋白,LDL胆固醇，降低fPSA/tPSA比值和血清钾。
■利用国家临床医学科学数据中心的“前列腺癌早期预警数据集”建立了一个分析框架。通过LASSO回归进行变量选择，其次是多因素Logistic逐步回归，构建预测模型。
■特此包括总共1,502名BPH患者和294名合并PCa患者。多元回归描绘了PCa共存的几个独立预测因子，包括年龄(OR[95%CI]：1.06[1.04-1.09]，p<0.001)，fPSA/tPSA比值（OR[95%CI]：0.01[0.002-0.05]，p<0.001)，血清无机磷（OR[95%CI]：5.85[2.61-13.15]，p<0.001)，球蛋白水平（OR[95%CI]：1.06[1.02-1.11]，p=0.005),血清钾（OR[95%CI]：0.58[0.40-0.86]，p=0.006),低密度脂蛋白（LDL）胆固醇（OR[95%CI]：1.28[1.06-1.54]，p=0.009),在其他人中。
■分析揭示了60岁以上男性PCa的发生与BPH之间的联系，以及特定的血清生物标志物，如无机磷，球蛋白,LDL胆固醇，降低fPSA/tPSA比值和血清钾。
