Department of Preventive Medicine, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China; Center on Evidence-Based Medicine & Clinical Epidemiology, School of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, 325035, China.
Wenzhou Center for Disease Prevention and Control, Wenzhou, Zhejiang, 325000, China.
EBioMedicine. 2019 Oct;48:414-424. doi: 10.1016/j.ebiom.2019.09.031. Epub 2019 Oct 5.
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).
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.
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.
The nomogram presents accurate and favourable prognostic prediction for PLHIV who underwent ART.
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.
准确预测死亡风险对接受抗逆转录病毒治疗(ART)的艾滋病毒感染者(PLHIV)的管理至关重要。我们旨在建立和验证一种在接受抗逆转录病毒治疗的艾滋病毒感染者中有效的预后列线图。
所有数据均来自中国艾滋病防治信息系统 2006 年至 2018 年在中国温州地区收集。基于训练集,通过单变量和多变量 Cox 比例风险分析确定列线图中的因素。受试者工作特征(ROC)和校准曲线用于评估其预测准确性和判别能力。分别在独立验证集中使用决策曲线分析(DCA)、X-tile 分析和 Kaplan-Meier 曲线评估其临床实用性。
独立预后因素包括血红蛋白、病毒载量和 CD4+T 细胞计数,这些因素被确定并包含在列线图中。校准曲线显示,在死亡率方面,特别是在第一年,列线图预测与实际观察之间存在良好的一致性。在训练队列中,AUC(95%CI)和 C 指数(95%CI)分别为 0.93(0.90,0.96)和 0.90(0.85,0.96)。在验证集中,该列线图仍然具有出色的判别能力[AUC(95%CI):0.95(0.91,1.00)]和良好的校准[C 指数(95%CI):0.92(0.82-1.00)]。此外,DCA 还表明该列线图具有临床获益。此外,参与者可以根据列线图分为三个不同的(低、中、高)风险组。
该列线图为接受 ART 的 PLHIV 提供了准确和有利的预后预测。
本研究得到了浙江省基础公益研究项目(LGF19H260011)、温州市基础公益研究项目(Y20180201)、医院初始科研基金(KYQD170301)、温州医科大学附属眼视光医院重大项目(YNZD201602)的支持。部分工作还得到了国家自然科学基金(81670777)和浙江省大学生科技创新活动计划和新人才计划的资助。基金资助者在研究设计、数据收集、数据分析、解释报告和写作方面没有任何作用。