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预测生育期女性化疗相关卵巢储备功能降低的模型。

A predictive model for chemotherapy-related diminished ovarian reserve in reproductive-age women.

机构信息

Division of Reproductive Endocrinology and Infertility, Philadelphia, Pennsylvania.

Division of Reproductive Endocrinology and Infertility, Philadelphia, Pennsylvania.

出版信息

Fertil Steril. 2021 Feb;115(2):431-437. doi: 10.1016/j.fertnstert.2020.08.003. Epub 2021 Jan 15.

Abstract

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.

摘要

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降低(DOR)的可能性。

设计

前瞻性队列研究。

地点

大学医院。

患者

新诊断为癌症且需要化疗的青春期后和年轻成年女性。

干预措施

无。

主要观察指标

化疗完成并恢复后卵巢储备功能降低,定义为化疗完成后 8-24 个月血清抗苗勒管激素(AMH)<1ng/mL。

结果

多变量逻辑回归模型包括年龄、癌症类型、烷化剂暴露和基线 AMH 值,可准确预测化疗后 DOR 的诊断,受试者工作特征曲线下面积为 0.89。

结论

化疗引起 DOR 的风险最高的女性,可通过治疗前年龄、癌症类型、烷化剂使用和基线 AMH 水平等信息,制定一种具有临床应用价值的预测工具。

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