Author Affiliations: Leeds Institute of Medical Research at St James's (Drs Boele and Murray) and Leeds Institute of Health Sciences, University of Leeds, United Kingdom (Dr Boele); University of Pittsburgh, School of Nursing, Pennsylvania (Mr Weimer and Drs Donovan and Sherwood); University Neurosurgical Center Holland, Leiden University Medical Center, Haaglanden Medical Center and Haga Teaching Hospital, and The Hague, the Netherlands (Mr Najafabadi); Michigan State University, College of Nursing, East Lansing (Drs C. W. Given and B. A. Given); and Division of Hematology/Oncology, Hillman Cancer Center, University of Pittsburgh Medical Center, Pennsylvania (Drs Drappatz and Lieberman).
Cancer Nurs. 2022;45(5):363-368. doi: 10.1097/NCC.0000000000001027. Epub 2021 Sep 30.
Glioblastoma multiforme (GBM) is an aggressive brain tumor. Patients commonly rely on family caregivers for physical and emotional support. We previously demonstrated that caregiver mastery measured shortly after diagnosis was predictive of GBM patient survival, corrected for known predictors of survival (n = 88).
The aims of this study were to verify the contribution of caregiver mastery and investigate the added value of mastery over other predictors to predict 15-month survival.
Data collected for a longitudinal study (NCT02058745) were used. Multivariable Cox regression analyses were performed for models with known clinical predictors (patient age, Karnofsky Performance Status, type of surgery, O6-methylguanine-DNA-methyltransferase promotor methylation status), with and without adding caregiver mastery to predict mortality. The added value of each model in discriminating between patients with the lowest and highest chances of survival at 15 months was investigated through Harrell's concordance index.
In total, 41 caregiver-patient dyads were included. When evaluating solely clinical predictors, Karnofsky Performance Status and patient age were significant predictors of mortality (hazard ratio [HR], 0.974; 95% confidence interval [CI], 0.949-1.000; and HR, 1.045; 95% CI, 1.002-1.091, respectively). Adding caregiver mastery, these clinical predictors remained statistically significant, and mastery showed an HR of 0.843 (95% CI, 0.755-0.940). The discriminative value improved from C = 0.641 (model with known clinical predictors) to C = 0.778 (model with mastery), indicating the latter is superior.
We confirm that caregiver mastery is associated with GBM patient survival.
Incorporating support and guidance for caregivers into standard care could lead to benefits for caregiver well-being and patient outcomes.
胶质母细胞瘤(GBM)是一种侵袭性脑肿瘤。患者通常依赖家庭照顾者提供身体和情感支持。我们之前的研究表明,诊断后不久测量的照顾者掌握程度可预测 GBM 患者的生存情况,可纠正已知的生存预测因素(n=88)。
本研究旨在验证照顾者掌握程度的贡献,并研究掌握程度相对于其他预测因素对预测 15 个月生存率的附加价值。
使用纵向研究(NCT02058745)收集的数据。进行多变量 Cox 回归分析,模型中包含已知的临床预测因素(患者年龄、卡诺夫斯基表现状态、手术类型、O6-甲基鸟嘌呤-DNA-甲基转移酶启动子甲基化状态),并在不添加照顾者掌握程度的情况下预测死亡率。通过哈雷尔一致性指数研究每个模型在区分 15 个月生存率最低和最高的患者方面的附加价值。
共纳入 41 对照顾者-患者。仅评估临床预测因素时,卡诺夫斯基表现状态和患者年龄是死亡率的显著预测因素(风险比[HR],0.974;95%置信区间[CI],0.949-1.000;和 HR,1.045;95% CI,1.002-1.091)。加入照顾者掌握程度后,这些临床预测因素仍然具有统计学意义,掌握程度的 HR 为 0.843(95% CI,0.755-0.940)。区分值从 C=0.641(包含已知临床预测因素的模型)提高到 C=0.778(包含掌握程度的模型),表明后者更优。
我们证实照顾者掌握程度与 GBM 患者的生存相关。
将对照顾者的支持和指导纳入标准护理中,可能会对照顾者的健康和患者的结局产生益处。