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Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort

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 We...

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Autores principales: Hou, Xiangqing, Wang, Dayong, Zuo, Jingjing, Li, Jushuang, Wang, Tao, Guo, Chengnan, Peng, Fang, Su, Dehua, Zhao, Lina, Ye, Zhenmiao, Zhang, Hemei, Zheng, Chao, Mao, Guangyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838367/
https://www.ncbi.nlm.nih.gov/pubmed/31594752
http://dx.doi.org/10.1016/j.ebiom.2019.09.031
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author Hou, Xiangqing
Wang, Dayong
Zuo, Jingjing
Li, Jushuang
Wang, Tao
Guo, Chengnan
Peng, Fang
Su, Dehua
Zhao, Lina
Ye, Zhenmiao
Zhang, Hemei
Zheng, Chao
Mao, Guangyun
author_facet Hou, Xiangqing
Wang, Dayong
Zuo, Jingjing
Li, Jushuang
Wang, Tao
Guo, Chengnan
Peng, Fang
Su, Dehua
Zhao, Lina
Ye, Zhenmiao
Zhang, Hemei
Zheng, Chao
Mao, Guangyun
author_sort Hou, Xiangqing
collection PubMed
description 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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spelling pubmed-68383672019-11-12 Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort Hou, Xiangqing Wang, Dayong Zuo, Jingjing Li, Jushuang Wang, Tao Guo, Chengnan Peng, Fang Su, Dehua Zhao, Lina Ye, Zhenmiao Zhang, Hemei Zheng, Chao Mao, Guangyun EBioMedicine Research paper 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. Elsevier 2019-10-05 /pmc/articles/PMC6838367/ /pubmed/31594752 http://dx.doi.org/10.1016/j.ebiom.2019.09.031 Text en © 2019 The Authors. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Hou, Xiangqing
Wang, Dayong
Zuo, Jingjing
Li, Jushuang
Wang, Tao
Guo, Chengnan
Peng, Fang
Su, Dehua
Zhao, Lina
Ye, Zhenmiao
Zhang, Hemei
Zheng, Chao
Mao, Guangyun
Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort
title Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort
title_full Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort
title_fullStr Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort
title_full_unstemmed Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort
title_short Development and validation of a prognostic nomogram for HIV/AIDS patients who underwent antiretroviral therapy: Data from a China population-based cohort
title_sort development and validation of a prognostic nomogram for hiv/aids patients who underwent antiretroviral therapy: data from a china population-based cohort
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838367/
https://www.ncbi.nlm.nih.gov/pubmed/31594752
http://dx.doi.org/10.1016/j.ebiom.2019.09.031
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