Impact of Lookback Duration on the Performance of a Claims-Based Frailty Proxy in Women With Stage I-III Breast Cancer

回顾期对基于索赔数据的衰弱代理指标在I-III期乳腺癌女性患者中的表现的影响

阅读:1

Abstract

BACKGROUND: Frailty is an important prognostic indicator in older women with breast cancer. The Faurot frailty index, a validated claims-based frailty proxy measure, uses healthcare billing codes during a user-specified ascertainment window to predict frailty. We assessed how the duration of frailty ascertainment affected the ability of the Faurot frailty index to predict one-year mortality in women with stage I-II breast cancer. METHODS: We included 128 857 women (66+ years) with stage I-III breast cancer in the SEER-Medicare database (2003-2019). The Faurot frailty index was calculated using 3-, 6-, 8-, and 12-month ascertainment windows prior to diagnosis or using all-available lookback. Associations between the Faurot frailty index using each window and one-year all-cause mortality were estimated using Kaplan-Meier curves. Discrimination of one-year mortality risk was assessed using C-statistics. RESULTS: Five percent of women died during the year following diagnosis. Higher Faurot scores were associated with increased mortality risk for all frailty ascertainment windows. Differences in one-year mortality risk for women with high vs. low Faurot frailty scores were reduced when using all-available lookback (16% vs. 2%, difference = 15%, 95% CI 0.14-0.15) compared to shorter windows (e.g., 8 months: 25% vs. 2%, difference = 23%, 95% CI 0.22-0.24). C-statistics ranged from 0.758 (all-available lookback) to 0.770 (12 months) and were robust in subgroups defined by age, race, ethnicity, region, stage, and cancer subtype. CONCLUSIONS: The Faurot frailty index performed well across 3- to 12-month frailty ascertainment windows in women with breast cancer. Researchers should employ this index to address confounding by frailty in studies of cancer populations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。