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
Open Access
- 1 January 2020
- journal article
- research article
- Published by Cambridge University Press (CUP) in Epidemiology and Infection
- Vol. 148, e84
- https://doi.org/10.1017/S0950268820000758
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 chi(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.This publication has 33 references indexed in Scilit:
- Causes of Death Among Patients Infected with HIV at a Tertiary Care Hospital in China: An Observational Cohort StudyAIDS Research and Human Retroviruses, 2016
- Variable Selection With Prior Information for Generalized Linear Models via the Prior LASSO MethodJournal of the American Statistical Association, 2016
- Human immunodeficiency virus, syphilis and hepatitis C virus prevalence trends among cross-border migrant Vietnamese female sex workers in Guangxi, ChinaBMC Public Health, 2015
- Nomograms in oncology: more than meets the eyeThe Lancet Oncology, 2015
- Decision curve analysis and external validation of the postoperative Karakiewicz nomogram for renal cell carcinoma based on a large single-center study cohortWorld Journal of Urology, 2014
- Indices to Measure Risk of HIV Acquisition in Rakai, UgandaPLOS ONE, 2014
- Patients Enrolled in HIV Care in MozambiqueJAIDS Journal of Acquired Immune Deficiency Syndromes, 2011
- Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studiesBMC Medical Informatics and Decision Making, 2011
- Correcting Mortality for Loss to Follow-Up: A Nomogram Applied to Antiretroviral Treatment Programmes in Sub-Saharan AfricaPLoS Medicine, 2011
- Selection of important variables and determination of functional form for continuous predictors in multivariable model buildingStatistics in Medicine, 2007