...
首页> 外文期刊>Palliative medicine >Predictors and trajectory of performance status in patients with advanced cancer: A secondary data analysis of the international European Palliative Care Cancer Symptom study
【24h】

Predictors and trajectory of performance status in patients with advanced cancer: A secondary data analysis of the international European Palliative Care Cancer Symptom study

机译:高级癌症患者性能状态的预测和轨迹:国际欧洲姑息治疗癌症症状研究的二级数据分析

获取原文
获取原文并翻译 | 示例

摘要

Background: Performance status, a predictor of cancer survival, and ability to maintain independent living deteriorate in advanced disease. Understanding predictors of performance status trajectory could help identify those at risk of functional deterioration, target support for independent living and reduce service costs. The relationship between symptoms, analgesics and performance status is poorly delineated. Aim: The aim of this study is to determine whether demographics, analgesics, disease characteristics, quality-of-life domains and C-reactive protein predict the trajectory of Karnofsky Performance Status (KPS) in patients with advanced cancer. Design: The study design is the secondary data analysis of the international prospective, longitudinal European Palliative Care Cancer Symptom study (ClinicalTrials.gov: NCT01362816). A multivariable regression model was built for KPS area under the curve per day (AUC). Setting and participants: This included adults with advanced, incurable cancer receiving palliative care, without severe cognitive impairment and who were not imminently dying (n = 1739). Results: The mean daily KPS AUC (n = 1052) was 41.1 (standard deviation = 14.1). Opioids (p 0.001), co-analgesics (p = 0.023), poorer physical functioning (p 0.001) and appetite loss (p = 0.009) at baseline were explanatory factors for lower KPS AUC. A subgroup analysis of participants with C-reactive protein data (n = 240) showed that only C-reactive protein (p = 0.040) and physical function (p 0.001) were associated with lower KPS AUC. Conclusion: This study is novel in determining explanatory factors for subsequent functional trajectories in an international dataset and identifying systemic inflammation as a candidate therapeutic target to improve functional performance. The effect of interventions targeting physical function, appetite and inflammation, such as those used for cachexia management, on maintaining functional status in patients with advanced cancer needs to be investigated.
机译:背景:性能状态,癌症生存的预测因子,以及在先进的疾病中保持独立生活的能力。理解性能状态轨迹的预测因子可以帮助确定有可能冒险风险的人,目标支持对独立生活以及降低服务成本。症状,镇痛药和性能状况之间的关系界定不佳。目的:本研究的目的是确定人口统计,镇痛药,疾病特征,生活质量结构域和C反应蛋白是否预测了先进癌症患者Karnofsky性能状况(KPS)的轨迹。设计:研究设计是国际前景,纵向欧洲姑息治疗癌症症状研究的二级数据分析(ClinicalTrial.gov:NCT01362816)。为每天曲线(AUC)下的KPS区域建立了一个多变量回归模型。设定和参与者:包括具有先进,可治区癌症的成年人,接受姑息治疗,没有严重的认知障碍,并且没有迫切地死亡(n = 1739)。结果:平均每日KPS AUC(n = 1052)为41.1(标准差= 14.1)。阿片类药物(P <0.001),共镇痛(P = 0.023),基线的较差物理功能(P <0.001)和食欲损失(P = 0.009)是低KPS AUC的解释因素。与C反应蛋白数据(n = 240)的参与者的亚组分析表明,只有C反应蛋白(P = 0.040)和物理功能(P <0.001)与较低的KPS AUC相关。结论:本研究是关于在国际数据集中的后续功能轨迹的解释因素中的新颖性,并将全身炎症鉴定为候选治疗目标,以改善功能性能。靶向物理功能,食欲和炎症的干预效果,例如用于维持晚期癌症患者功能性质的恶毒糖尿病管理的影响,需要进行调查。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号