队列
内科学
人口
队列研究
比例危险模型
危险系数
推车
人类免疫缺陷病毒(HIV)
回顾性队列研究
逻辑回归
病毒载量
多元分析
生存分析
肿瘤科
作者
Xiang-Qing Hou,Dayong Wang,Jingjing Zuo,Jushuang Li,Tao Wang,Chengnan Guo,Fang Peng,Dehua Su,Lina Zhao,Zhenmiao Ye,Hemei Zhang,Chao Zheng,Guangyun Mao
出处
期刊:EBioMedicine
[Elsevier BV]
日期:2019-10-01
卷期号:48: 414-424
被引量:13
标识
DOI:10.1016/j.ebiom.2019.09.031
摘要
Abstract Background Accurate forecast of the death risk is crucial to the administration of people living with HIV/AIDS (PLHIV). We aimed to establish and validate an effective prognosis nomogram in PLHIV receiving antiretroviral therapy (ART). Methods All the data were obtained from 2006 to 2018 in the Wenzhou area from China AIDS prevention and control information system. Factors included in the nomogram were determined by univariate and multiple Cox proportional hazard analysis based on the training set. The receiver operating characteristic (ROC) and calibration curves were used to assess its predictive accuracy and discriminative ability. Its clinical utility was also evaluated using decision curve analysis (DCA), X-tile analysis and Kaplan-Meier curve, respectively in an independent validation set. Findings Independent prognostic factors including haemoglobin, viral load and CD4+ T-cell count were determined and contained in the nomogram. Good agreement between the prediction by nomogram and actual observation could be detected in the calibration curve for mortality, especially in the first year. In the training cohort, AUC (95% CI) and C-index (95% CI) were 0.93 (0.90, 0.96) and 0.90 (0.85, 0.96), respectively. In the validation set, the nomogram still revealed excellent discriminations [AUC (95% CI): 0.95 (0.91, 1.00)] and good calibration [C-index (95% CI): 0.92 (0.82–1.00)]. Moreover, DCA also demonstrated that the nomogram was clinical beneficial. Additionally, participants could be classified into three distinct (low, middle and high) risk groups by the nomogram. Interpretation The nomogram presents accurate and favourable prognostic prediction for PLHIV who underwent ART. Funding This work was supported by Zhejiang Basic Public Welfare Research Project ( LGF19H260011 ), Wenzhou Basic Public Welfare Research Project ( Y20180201 ), the Initial Scientific Research Fund ( KYQD170301 ), the Major Project of the Eye Hospital Wenzhou the Major Project of the Eye Hospital Wenzhou Medical University ( YNZD201602 ). Part of this work was also funded by National Natural Science Foundation of China ( 81670777 ) and Science and Technology Innovation Activity Plan and New Talents Plan for College Students in Zhejiang Province ( 2019R413073 ). The funders had no roles in study design, data collection, data analysis, interpretation and writing of the report.
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