1 Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK.
2 Hull York Medical School, University of York, York, UK.
Palliat Med. 2019 Feb;33(2):206-212. doi: 10.1177/0269216318811011. Epub 2018 Nov 8.
: 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.
: 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.
: 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).
: This included adults with advanced, incurable cancer receiving palliative care, without severe cognitive impairment and who were not imminently dying ( = 1739).
: The mean daily KPS AUC ( = 1052) was 41.1 (standard deviation = 14.1). Opioids ( < 0.001), co-analgesics ( = 0.023), poorer physical functioning ( < 0.001) and appetite loss ( = 0.009) at baseline were explanatory factors for lower KPS AUC. A subgroup analysis of participants with C-reactive protein data ( = 240) showed that only C-reactive protein ( = 0.040) and physical function ( < 0.001) were associated with lower KPS AUC.
: 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.
在晚期疾病中,体能状态是癌症生存的预测指标,且独立生活能力会恶化。了解体能状态轨迹的预测因素有助于识别那些有功能恶化风险的患者,为独立生活提供支持,并降低服务成本。症状、镇痛药和体能状态之间的关系尚未明确界定。
本研究旨在确定人口统计学因素、镇痛药、疾病特征、生活质量领域和 C 反应蛋白是否可预测晚期癌症患者的卡氏体能状态(KPS)轨迹。
该研究设计是对国际前瞻性、纵向欧洲姑息治疗癌症症状研究(ClinicalTrials.gov:NCT01362816)的二次数据分析。建立了 KPS 每日曲线下面积(AUC)的多变量回归模型。
纳入了接受姑息治疗的晚期、不可治愈的癌症成人患者,且患者无严重认知障碍且未处于濒死状态( = 1739)。
平均每日 KPS AUC( = 1052)为 41.1(标准差= 14.1)。基线时使用阿片类药物( < 0.001)、辅助镇痛药( = 0.023)、较差的身体功能( < 0.001)和食欲下降( = 0.009)是 KPS AUC 较低的解释因素。有 C 反应蛋白数据的参与者亚组分析( = 240)表明,只有 C 反应蛋白( = 0.040)和身体功能( < 0.001)与较低的 KPS AUC 相关。
本研究在国际数据集确定了后续功能轨迹的解释因素,并确定了系统炎症是改善功能表现的候选治疗靶点,这是新颖的。需要研究针对身体功能、食欲和炎症的干预措施(如用于治疗恶病质的干预措施)对维持晚期癌症患者功能状态的影响。