Development and external-validation of a nomogram for predicting the survival of hospitalised HIV/AIDS patients based on a large study cohort in western China. (2020)

• Record Type: Journal Article
• Authors: Yuan, Z.; Zhou, B.; Meng, S.; Jiang, J.; Huang, S.; Lu, X.; Wu, N.; Xie, Z.; Deng, J.; Chen, X.; Liu, J.; Zhang, J.; Wu, F.; Liang, H.; Ye, L.
• Is Part Of: Epidemiology and infection. Volume 148(2020)
• Publication Date: 2020
• Subjects: AIDS, -- hospitalised patients, -- nomogram, -- survival; Communicable diseases -- Periodicals; Epidemiology -- Periodicals; 614.4
• DOI: 10.1017/S0950268820000758
• Languages: English
• ISSNs: 0950-2688

Abstract

Abstract: The aim of this study was to develop and externally validate a simple-to-use nomogram for predicting the survival of hospitalised human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients (hospitalised person living with HIV/AIDS (PLWHAs)). Hospitalised PLWHAs ( n = 3724) between January 2012 and December 2014 were enrolled in the training cohort. HIV-infected inpatients ( n = 1987) admitted in 2015 were included as the external-validation cohort. The least absolute shrinkage and selection operator method was used to perform data dimension reduction and select the optimal predictors. The nomogram incorporated 11 independent predictors, including occupation, antiretroviral therapy, pneumonia, tuberculosis, Talaromyces marneffei, hypertension, septicemia, anaemia, respiratory failure, hypoproteinemia and electrolyte disturbances. The Likelihood χ 2 statistic of the model was 516.30 ( P = 0.000). Integrated Brier Score was 0.076 and Brier scores of the nomogram at the 10-day and 20-day time points were 0.046 and 0.071, respectively. The area under the curves for receiver operating characteristic were 0.819 and 0.828, and precision-recall curves were 0.242 and 0.378 at two time points. Calibration plots and decision curve analysis in the two sets showed good performance and a high net benefit of nomogram. In conclusion, the nomogram developed in the current study has relatively high calibration and is clinically useful. It provides a convenient and useful tool for timely clinical decision-making and the risk management of hospitalised PLWHAs.