[1]张盼盼),田 晶),杨 弘),等.基于随机森林的慢性心力衰竭患者报告结局量表的预后评估价值[J].郑州大学学报(医学版),2020,(06):786-790.[doi:10.13705/j.issn.1671-6825.2020.05.115]
 ZHANG Panpan),TIAN Jing),YANG Hong),et al.Prognostic value of patient-report outcome scale with heart failure based on random forest[J].JOURNAL OF ZHENGZHOU UNIVERSITY(MEDICAL SCIENCES),2020,(06):786-790.[doi:10.13705/j.issn.1671-6825.2020.05.115]
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基于随机森林的慢性心力衰竭患者报告结局量表的预后评估价值()
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《郑州大学学报(医学版)》[ISSN:1671-6825/CN:41-1340/R]

卷:
期数:
2020年06期
页码:
786-790
栏目:
论著
出版日期:
2020-11-20

文章信息/Info

Title:
Prognostic value of patient-report outcome scale with heart failure based on random forest
作者:
张盼盼1)田 晶2)杨 弘1)李晨昊1)闫晶晶1)王 可1)韩 嫱1)张 青3)韩清华2)张岩波1)
1)山西医科大学卫生统计教研室 太原 030001 2)山西医科大学第一附属医院心内科 太原 030001 3)山西医科大学第一临床医学院 太原 030001
Author(s):
ZHANG Panpan1)TIAN Jing2)YANG Hong1)LI Chenhao1)YAN Jingjing1)WANG Ke1)HAN Qiang1)ZHANG Qing3)HAN Qinghua2)ZHANG Yanbo1)
1)Department of Health Statistics,Shanxi Medical University,Taiyuan 030001 2)Department of Cardiology,the First Affiliated Hospital,Shanxi Medical University,Taiyuan 030001 3)The First Clinical Medical College,Shanxi Medical University,Taiyuan 030001
关键词:
随机森林 心力衰竭 患者报告结局量表 预后
Keywords:
random forest heart failure patient-reported outcome prognosis
分类号:
R181.2; R541
DOI:
10.13705/j.issn.1671-6825.2020.05.115
摘要:
目的:探讨患者报告结局量表在慢性心力衰竭预后评估中的应用价值。方法:选择2017年5月至2019年3月住院确诊为慢性心力衰竭的629例患者为研究对象,对患者进行患者报告结局问卷调查,并随访其出院后1 a内主要不良心血管事件的发生,构建随机森林模型,用净重分类改善指数、整体鉴别指数以及受试者工作特征曲线,比较患者报告结局对预后模型的增加价值。结果:纳入PRO数据后模型的灵敏度为70.0%,特异度为90.8%,AUC值为0.804,增加了0.226; 以未纳入PRO数据的预测模型为参照得出净重分类改善指数为0.452,模型正向改善,整体鉴别指数为0.172,经检验,改善程度均有统计学意义(P<0.05)。结论:患者报告结局量表在慢性心力衰竭预后研究中有较高的应用价值。
Abstract:
Aim:To explore the application value of patient-report outcome scale in the study of prognosis of heart failure.Methods:A total of 629 patients with heart failure diagnosed in the hospital from May 2017 to March 2019 were selected.The patients were investigated by patient-reported outcomes scale.The occurrence of major adverse cardiovascular events within one year follow-up after discharge was recorded.A random forest model was constructed,and the prognostic value of the model was evaluated by net reclassification improvement,integrated discrimination improvement and receiver operator characteristic curve.The added value of the patient-reported outcomes to the prognostic model was compared.Results:After the inclusion of PRO data,the sensitivity of the model was 70.0%,the specificity was 90.8%,and the AUC value was 0.804,which increased by 0.226.With reference to the prediction model that did not include PRO data,the net reclassification improvement was 0.452,the model was positively improved,and integrated discrimination improvement was 0.172,which was statistically significant(P<0.05).Conclusion:The patient-report outcome scale has high application value in evaluating the prognosis of patients with heart failure.

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备注/Memo

备注/Memo:
【基金项目】国家自然科学基金项目(81872714)
【作者简介】张岩波,通信作者,男,1969年10月,博士,教授,研究方向:慢性病生命质量评价及潜在状态评估模型构建,E-mail:sxmuzyb@126.com
更新日期/Last Update: 2020-11-20