机构：[1]Department of Gastroenterology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China浙江大学医学院附属第一医院[2]Institute of Translational Medicine, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China[3]Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China[4]Cancer Center of the First Hospital of Jilin University, Changchun, China[5]Department of Clinical Nutrition, Chongqing General Hospital, Chongqing, China[6]Department of Nutrition, Third Affiliated Hospital of Kunming Medical College, Tumor Hospital of Yunnan Province, Kunming, China[7]Comprehensive Oncology Department, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China[8]Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi, China[9]Cancer Center, The First People's Hospital of Foshan, Foshan, China[10]Department of Clinical Nutrition, The Fourth Affiliated Hospital, Harbin Medical University, Harbin, China[11]Department of Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China华中科技大学同济医学院附属同济医院[12]Department of Gastrointestinal Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China[13]Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China[14]Department of Nutrition, Department of Nutrition, Daping Hospital & Research Institute of Surgery, Third Military Medical University, Chongqing, China[15]Department of Gastrointestinal Surgery/ Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University/The 9th Clinical Medical College, Peking University, Beijing, China
Purpose To investigate the frailty status in Chinese cancer patients through establishing a novel prediction algorithm. Methods The percentage of frailty in various age groups, locations, and tumor types in Chinese cancer patients was investigated. The prediction capacity of frailty on mortality of Chinese cancer patients was analysed by the frailty index composing of routine laboratory data (FI-LAB) accessible from a blood test and calculated as the ratio of abnormal factors to 22 total variables. The establishment of a novel algorithm, MCP (mortality of cancer patients), to predict the 5-year mortality in Chinese cancer patients was accomplished and the algorithm's prediction capacity was tested in the training and validation sets using receiver operating characteristic (ROC) analysis. Results We found that the risk of death in cancer patients can be successfully identified through FI-LAB. The univariable and multivariable Cox regression were used to evaluate the effect of frailty on death. In the 5-year follow-up, 20.6% of the 2959 participants (age = 55.8 +/- 11.7 years; 43.5% female) died, while the mean FI-LAB score in baseline was 0.23 (standard deviation = 0.13; range = 0-0.73). Frailty (after adjusting for gender, age, and other confounders) directly correlated with an increased risk of death, hazard ratio of 12.67 (95% confidence interval [CI]: 7.19, 22.31), compared to those without frailty. In addition, the MCP algorithm (MCP) = 3.678 x FI-LAB + 1.575 x sex + 1.779 x first tumor node metastasis staging, presented an area under the ROC (AUC) of 0.691 (95% CI: 0.656-0.726) and 0.648 (95% CI: 0.613-0.684) in the training and validation sets, respectively. Conclusion Frailty as defined by FI-LAB was common and indicated a significant death risk in cancer patients. Our novel developed algorithm MCP had a passable prediction capacity on 5-year MCP.
基金：
The National Key Research and
Development Program: The key
technology of palliative care and nursing
for cancer patients (2017YFC1309200).
第一作者机构：[1]Department of Gastroenterology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
通讯作者：
通讯机构：[13]Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China[14]Department of Nutrition, Department of Nutrition, Daping Hospital & Research Institute of Surgery, Third Military Medical University, Chongqing, China[15]Department of Gastrointestinal Surgery/ Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University/The 9th Clinical Medical College, Peking University, Beijing, China[*1]Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China[*2]Department of Nutrition, Department of Nutrition, Daping Hospital &Research Institute of Surgery, Third Military Medical University (Army Medical University), Chongqing 400042, China[*3]Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University/ The 9th Clinical Medical College, Peking University, No. 10 Tieyi Road, Haidian District, Beijing 100038, China.
推荐引用方式(GB/T 7714)：
Xi Jin,Yue Ren,Li Shao,et al.Prevalence of frailty and prediction of mortality in Chinese cancer patients using a frailty index-based clinical algorithm-A multicentre study[J].CANCER MEDICINE.2021,10(18):6207-6217.doi:10.1002/cam4.4155.
APA：
Xi Jin,Yue Ren,Li Shao,Zengqing Guo,Chang Wang...&Hanping Shi.(2021).Prevalence of frailty and prediction of mortality in Chinese cancer patients using a frailty index-based clinical algorithm-A multicentre study.CANCER MEDICINE,10,(18)
MLA：
Xi Jin,et al."Prevalence of frailty and prediction of mortality in Chinese cancer patients using a frailty index-based clinical algorithm-A multicentre study".CANCER MEDICINE 10..18(2021):6207-6217
