Kim Jin Won, Kim Se-Hyun, Kim Yu Jung, Lee Keun-Wook, Kim Kwang-Il, Lee Jong Seok, Kim Cheol-Ho, Kim Jee Hyun
Division of Hematology and Medical Oncology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
Division of Geriatrics, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.
PLoS One. 2015 Sep 24;10(9):e0138304. doi: 10.1371/journal.pone.0138304. eCollection 2015.
Geriatric assessment (GA) is resource-consuming, necessitating screening tools to select appropriate patients who need full GA. The objective of this study is to design a novel geriatric screening tool with easy-to-answer questions and high performance objectively selected from a large dataset to represent each domain of GA. A development cohort was constructed from 1284 patients who received GA from May 2004 to April 2007. Items representing each domain of functional status, cognitive function, nutritional status, and psychological status in GA were selected according to sensitivity (SE) and specificity (SP). Of the selected items, the final questions were chosen by a panel of oncologists and geriatricians to encompass most domains evenly and also by feasibility and use with cancer patients. The selected screening questions were validated in a separate cohort of 98 cancer patients. The novel screening tool, the Korean Cancer Study Group Geriatric Score (KG)-7, consisted of 7 items representing each domain of GA. KG-7 had a maximal area under the curve (AUC) of 0.93 (95% confidence interval (CI) 0.92-0.95) in the prediction of abnormal GA, which was higher than that of G-8 (0.87, 95% CI 0.85-0.89) within the development cohort. The cut-off value was decided at ≤ 5 points, with a SE of 95.0%, SP of 59.2%, positive predictive value (PPV) of 85.3%, and negative predictive value (NPV) of 82.6%. In the validation cohort, the AUC was 0.82 (95% CI 0.73-0.90), and the SE, SP, PPV, and NPV were 89.5%, 48.6%, 77.3%, and 75.0%, respectively. Furthermore, patients with higher KG-7 scores showed significantly longer overall survival (OS) in the development and validation cohorts. In conclusions, the KG-7 showed high SE and NPV to predict abnormal GA. The KG-7 also predicted OS. Given the results of our studies, the KG-7 could be used effectively in countries with high patient burden and low resources to select patients in need of full GA and intervention.
老年评估(GA)消耗资源,因此需要筛查工具来挑选出需要全面GA的合适患者。本研究的目的是设计一种新颖的老年筛查工具,其问题易于回答,且能从大型数据集中客观地筛选出高性能的问题,以代表GA的各个领域。一个开发队列由2004年5月至2007年4月期间接受GA的1284名患者组成。根据敏感性(SE)和特异性(SP),选择代表GA中功能状态、认知功能、营养状态和心理状态各个领域的项目。在所选项目中,最终问题由一组肿瘤学家和老年病学家选定,以便均匀涵盖大多数领域,同时还要考虑可行性以及在癌症患者中的应用情况。所选的筛查问题在另一组98名癌症患者中进行了验证。这种新颖的筛查工具,即韩国癌症研究组老年评分(KG)-7,由代表GA各个领域的7个项目组成。在预测异常GA方面,KG-7在开发队列中的曲线下面积(AUC)最大值为0.93(95%置信区间(CI)0.92 - 0.95),高于G-8(0.87,95% CI 0.85 - 0.89)。截断值确定为≤5分,SE为95.0%,SP为59.2%,阳性预测值(PPV)为85.3%,阴性预测值(NPV)为82.6%。在验证队列中,AUC为0.82(95% CI 0.73 - 0.90),SE、SP、PPV和NPV分别为89.5%、48.6%、77.3%和75.0%。此外,在开发队列和验证队列中,KG-7评分较高的患者总生存期(OS)显著更长。总之,KG-7在预测异常GA方面显示出高SE和NPV。KG-7还能预测OS。鉴于我们的研究结果,在患者负担高且资源有限的国家,KG-7可有效地用于挑选需要全面GA和干预的患者。