中国前列腺癌（PCa）患者骨质疏松症发生的具体风险因素及适时治疗仍不清楚。我们的目标是开发和验证一种能够预测PCa患者骨质疏松症发生的Nomogram。我们进行了一项横断面研究，收集了2021年6月至2023年2月期间在天津医科大学第二医院就诊的PCa患者的数据。将患者按7:3的比例分成训练集和验证集。使用LASSO回归算法识别出最相关的预测变量，并使用多变量 logistic 回归构建 Nomogram。通过训练集和验证集的受试者工作特征曲线（ROC 曲线）、C指数、校准曲线和决策曲线分析（DCA）来验证 Nomogram 的性能。我们共收集了596名患者的数据，并使用年龄、体重指数、血红蛋白、维生素D3、睾酮和雄激素剥夺治疗时长构建了Nomogram。Nomogram在训练集的C指数为0.923，在验证集的C指数为0.859。在两组数据中，Nomogram的表现一致良好。DCA显示了在各种预测阈值下 Nomogram 的临床益处。此外，我们还构建了一个单独的Nomogram，用于预测进行雄激素剥夺治疗的患者的骨质流失，表现出同样有利的诊断性能和临床益处。本研究构建了两个可靠的Nomogram来预测骨质疏松症和骨质流失，整合了个人健康信息和PCa特定治疗数据。这些Nomogram为预测PCa患者骨质疏松症和骨质流失的发生提供了一种简便和个体化的方法。© 2023 Wiley Periodicals LLC.

The specific risk factors contributing to the development of osteoporosis and the appropriate timing of treatment in Chinese prostate cancer (PCa) patients remain unclear. Our objective was to develop and validate a nomogram capable of predicting the occurrence of osteoporosis in PCa patients.We conducted a cross-sectional study with PCa patients attending the Second Hospital of Tianjin Medical University, collecting data from June 2021 to February 2023. The patients were divided into training and validation sets in a 7:3 ratio. The LASSO regression was used to identify the most relevant predictive variables, and the multivariable logistic regression was used to construct the nomogram. The nomogram's performance was validated through receiver operating characteristic (ROC) curves, C-index, calibration curves, and decision curve analysis (DCA) in both the training and validation sets.We collected data from a total of 596 patients and then constructed the nomogram using age, body mass index, hemoglobin, vitamin D3, testosterone, and androgen deprivation therapy duration. The C-index of the nomogram was 0.923 in the training set and 0.859 in the validation set. The nomogram showed good consistency in both sets. DCA demonstrated the clinical benefit of the nomogram across various prediction thresholds. Furthermore, a separate nomogram was constructed to predict bone loss in patients undergoing ADT, exhibiting equally favorable diagnostic performance and clinical benefit.This study constructed two reliable nomograms to predict osteoporosis and bone loss, integrating personal health information and PCa-specific treatment data. These nomograms offer an easy and individualized approach to predict the occurrence of osteoporosis and bone loss in PCa patients.© 2023 Wiley Periodicals LLC.