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使用美国国立癌症研究所不良事件通用术语标准识别严重不良事件集群。

Identifying Severe Adverse Event Clusters Using the National Cancer Institute's Common Terminology Criteria for Adverse Events.

作者信息

Zhong Xiaobo, Lim Emerson A, Hershman Dawn L, Moinpour Carol M, Unger Joseph, Lee Shing M

机构信息

Columbia University, New York, NY; and Fred Hutchinson Cancer Research Center, Seattle, WA.

出版信息

J Oncol Pract. 2016 Mar;12(3):e270-80, 245-6. doi: 10.1200/JOP.2015.006106. Epub 2016 Feb 23.

DOI:10.1200/JOP.2015.006106
PMID:26907453
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5702793/
Abstract

PURPOSE

Exploring the relationships among adverse events is important because those that arise from a common mechanism are amenable to a common intervention, which can improve symptom management, quality of life, and treatment adherence. To date, symptom cluster studies have used patient-reported data, which are not always available in clinical trials. In this study, we proposed using the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) to identify adverse event clusters because the CTCAE data are collected as standard practice and can therefore be used when patient-reported outcomes are unavailable.

METHODS

The CTCAE data from a randomized clinical trial conducted by SWOG that compared docetaxel plus estramustine versus mitoxantrone plus predinsone in patients with advanced prostate cancer were used to identify severe adverse event clusters. A variable based hierarchical cluster analysis was conducted using the CTCAE for the 323 patients who experienced at least one grade 3 or higher adverse event.

RESULTS

A total of 109 adverse event types were captured using the CTCAE. Four clusters had moderate associations: nausea, vomiting, and anorexia (n = 35, r = 0.45); joint/bone(myalgia, arthralgia, and arthritis) and muscle weakness (n = 26, r = 0.29); anemia and transfusion (n = 20, r = 0.38); and neutrophils/granulocytes, febrile neutropenia, and leukocytes/lymphopenia (n = 114, r = 0.29). Two clusters had weak associations: fatigue/malaise/lethargy and dehydration (n = 66, r = 0.12); and constipation, infection without neutropenia, and abdominal pain/cramping (n = 35, r = 0.13).

CONCLUSION

Several severe adverse event clusters were identified in patients with advanced prostate cancer. Identifying adverse event clusters using CTCAE data from clinical trials is feasible.

摘要

目的

探究不良事件之间的关系很重要,因为源自共同机制的不良事件适合采用共同的干预措施,这可以改善症状管理、生活质量和治疗依从性。迄今为止,症状群研究使用的是患者报告的数据,而这些数据在临床试验中并非总是可用。在本研究中,我们提议使用美国国立癌症研究所不良事件通用术语标准(CTCAE)来识别不良事件群,因为CTCAE数据是作为标准操作收集的,因此在无法获得患者报告结局时可以使用。

方法

使用SWOG进行的一项随机临床试验的CTCAE数据来识别严重不良事件群,该试验比较了多西他赛加雌莫司汀与米托蒽醌加泼尼松在晚期前列腺癌患者中的疗效。对323名经历了至少一次3级或更高等级不良事件的患者,使用CTCAE进行基于变量的层次聚类分析。

结果

使用CTCAE共捕捉到109种不良事件类型。四个群具有中等相关性:恶心、呕吐和厌食(n = 35,r = 0.45);关节/骨骼(肌痛、关节痛和关节炎)和肌肉无力(n = 26,r = 0.29);贫血和输血(n = 20,r = 0.38);以及中性粒细胞/粒细胞、发热性中性粒细胞减少和白细胞/淋巴细胞减少(n = 114,r = 0.29)。两个群具有弱相关性:疲劳/不适/嗜睡和脱水(n = 66,r = 0.12);以及便秘、无中性粒细胞减少的感染和腹痛/绞痛(n = 35,r = 0.13)。

结论

在晚期前列腺癌患者中识别出了几个严重不良事件群。使用临床试验的CTCAE数据识别不良事件群是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/875a/5702793/2ec93ed8fc32/jopr006106f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/875a/5702793/2ec93ed8fc32/jopr006106f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/875a/5702793/2ec93ed8fc32/jopr006106f02.jpg

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