OBJECTIVE To develop and internally validate a clinical predictive tool to assess the likelihood that a young cancer patient will experience diminished ovarian reserve (DOR) after chemotherapy. DESIGN Prospective cohort study. SETTING University hospitals. PATIENT(S) Postpubertal adolescent and young adult women with a new diagnosis of cancer requiring chemotherapy. INTERVENTION None. MAIN OUTCOME MEASURE(S) Diminished ovarian reserve after completion of and recovery from chemotherapy, defined as serum antimüllerian hormone (AMH) <1 ng/mL at 8-24 months after completion of chemotherapy. RESULT(S) A multivariable logistic regression model which includes age, cancer type, exposure to an alkylating agent, and baseline AMH value accurately predicts the diagnosis of DOR after chemotherapy with an area under the receiver operating characteristic curve of 0.89. CONCLUSION(S) Pretreatment information on age, cancer type, use of an alkylating agent, and baseline AMH levels make up a clinically useful predictive tool to identify which women are most at risk for DOR caused by chemotherapy.

中文翻译：

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育龄妇女化疗相关卵巢储备减少的预测模型

目的 开发并内部验证一种临床预测工具，以评估年轻癌症患者在化疗后发生卵巢储备功能下降 (DOR) 的可能性。设计前瞻性队列研究。设置大学医院。PATIENT(S) 青春期后的青春期和年轻的成年女性，新诊断为癌症，需要化疗。干预 无。主要观察指标 化疗结束和恢复后卵巢储备功能下降，定义为化疗结束后 8-24 个月血清抗苗勒管激素 (AMH) <1 ng/mL。结果（S）一个多变量逻辑回归模型，包括年龄、癌症类型、烷化剂暴露、基线 AMH 值准确预测化疗后 DOR 的诊断，受试者工作特征曲线下面积为 0.89。结论 年龄、癌症类型、烷化剂的使用和基线 AMH 水平的治疗前信息构成了临床上有用的预测工具，以确定哪些女性最有可能因化疗引起 DOR。