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老年卵巢癌患者诊断后衰弱状态的纵向变化及其与总生存的关联

Longitudinal dynamics of post-diagnosis frailty among older women with ovarian cancer.
PubMed 文献 · Gynecol Oncol · 2026-05-12

该研究基于SEER-Medicare数据库纳入24,725例65岁以上卵巢癌患者,用索赔指标在诊断时及诊断后1–3年量化衰弱状态。诊断时衰弱分布为:非衰弱7.1%、前衰弱71%、轻度衰弱18%、中度衰弱3.4%、重度衰弱0.9%。诊断后衰弱呈动态变化,当前衰弱与总生存的关联强于诊断时衰弱,且随时间增强;建议重复评估衰弱。

要点

  • 诊断时多数患者为前衰弱(71%),非衰弱仅7.1%。
  • 诊断后第1年38%维持衰弱状态、4%改善、26%恶化、32%死亡。
  • 当前衰弱与总生存关联强于诊断时衰弱,且随时间增强,应重复评估。

核心结论

  • 诊断后衰弱是动态变化的,当前衰弱与总生存的关联强于诊断时衰弱,且关联随时间增强。
  • 应把重复衰弱评估纳入临床实践,而非仅依赖诊断时的一次评估。

研究设计与样本

  • 回顾性队列研究,纳入SEER-Medicare数据库中2000–2019年诊断的24,725例65岁以上卵巢癌女性。
  • 用经验证的基于索赔的指数在诊断时及诊断后1–3年量化衰弱,并比较每年年初与年末的衰弱状态。
  • 在诊断后1、2、3年拟合Cox比例风险模型,同时纳入诊断时衰弱与当前衰弱评估与生存的关联。

主要发现

  • 诊断时衰弱分布:非衰弱7.1%、前衰弱71%、轻度衰弱18%、中度衰弱3.4%、重度衰弱0.9%。
  • 诊断后第1年:38%维持衰弱状态、4%改善、26%恶化、32%死亡;第2–3年部分稳定、部分改善或恶化。
  • 中位随访25个月(四分位距7–58)期间共21,309例死亡。
  • 调整当前衰弱后,诊断时衰弱与生存无关联:重度衰弱 vs 非衰弱在1、2、3年的HR分别为0.98、1.00、0.76,所有P值>0.20。
  • 当前衰弱与生存强关联且随时间增强:1、2、3年HR分别为2.26、2.77、3.70,所有P值<0.001。

关键数值与推荐

  • 诊断时衰弱分级占比:非衰弱7.1%、前衰弱71%、轻度衰弱18%、中度衰弱3.4%、重度衰弱0.9%。
  • 诊断后第1年状态变化:维持38%、改善4%、恶化26%、死亡32%。
  • 当前衰弱 vs 非衰弱的HR在1、2、3年分别为2.26、2.77、3.70(均P<0.001)。
  • 诊断时重度衰弱 vs 非衰弱的HR在1、2、3年分别为0.98、1.00、0.76(均P>0.20)。

临床怎么用

  • 对老年卵巢癌患者不应只在诊断时评估衰弱,应在诊断后1–3年重复评估以捕捉动态变化。
  • 当前衰弱状态与总生存关联更强,可作为预后分层与照护决策的动态依据。
  • 仅凭诊断时衰弱评估指导全程照护可能不足,需结合后续重复评估结果调整管理。

以上解读依据论文摘要(全文未开放获取或许可不允许翻译转载)。

原文

OBJECTIVE: Leading oncology societies recommend assessing pre-treatment frailty to guide care for older adults with cancer. However, frailty may change post-diagnosis. This study characterized post-diagnosis frailty and its association with overall survival among older women with ovarian cancer. METHODS: We included 24,725 women aged 65+ diagnosed with ovarian cancer between 2000 and 2019 from Surveillance, Epidemiology, and End Results (SEER)-Medicare. Frailty was quantified at diagnosis and 1-3 years post-diagnosis using a validated claims-based index. We compared patients' frailty at the beginning and end of each year. At 1, 2, and 3 years post-diagnosis, we fit a Cox proportional hazards model including frailty at diagnosis and current frailty to assess associations with survival. RESULTS: Frailty distribution at diagnosis was: 7.1% non-frail, 71% pre-frail, 18% mildly frail, 3.4% moderately frail, and 0.9% severely frail. During year 1, 38% of women maintained frailty status, 4% improved, 26% worsened, and 32% died. In years 2-3, some women remained stable while others improved or worsened. There were 21,309 deaths during a median follow-up of 25 months (interquartile range 7-58). Frailty at diagnosis was not associated with survival after adjusting for current frailty (hazard ratios [HRs] for severely frail versus non-frail =0.98, 1.00, 0.76 at 1, 2, 3 years, respectively, all p-values>0.20). Current frailty was strongly associated with survival, and the association increased over time (HRs =2.26, 2.77, 3.70, respectively; all p-values<0.001). CONCLUSIONS: Post-diagnosis frailty is dynamic. Current frailty has a stronger association with overall survival compared to frailty at diagnosis. Repeated frailty assessments should be incorporated into clinical practice.

来源:Gynecol Oncol,查看原文。版权归原作者所有。

引用

  1. Phung MT, Barroilhet LM, Binkley N, et al. Longitudinal dynamics of post-diagnosis frailty among older women with ovarian cancer. Gynecol Oncol. 2026. PMID: 42119309. doi:10.1016/j.ygyno.2026.04.019

供执业医师工作参考,不替代临床判断;数值与分级以指南原文为准。