ArticleBMC public health2023
Incomplete immune reconstitution and its predictors in people living with HIV in Wuhan, China.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Dynamic prediction of HIV-related incomplete immune reconstitution: A multicenter, large cohort study using advanced joint modeling.Science advances · 2026Article
- The predictive value of dyslipidemia for immune reconstitution outcome among HIV/AIDS patients after 24 months of viral suppression: a retrospective cohort study.BMC infectious diseases · 2026Article
- Associations Between Immune Senescence and Immune Reconstitution Among People Living With HIV Undergoing Antiretroviral Therapy.Journal of immunology research · 2026Article
- Nomogram model for predicting incomplete immune reconstitution in people living with HIV based on clinical characteristics.Frontiers in immunology · 2026Article
- Immune reconstitution efficacy and associated risk factors for immunological non-response in people living with HIV during long-term antiretroviral therapy: a single-center retrospective cohort study at a tertiary care hospital in China.Frontiers in immunology · 2026Article
- Metabolic dysbiosis as a predictor of immunological non-response among people living with HIV.Frontiers in cellular and infection microbiology · 2026Article
- Immunorecovered but Exhausted: Persistent PD-1/PD-L1 Expression Despite Virologic Suppression and CD4 Recovery in PLWH.Biomedicines · 2025Article
- Patterns of immune recovery in people living with HIV who initiated antiretroviral therapy as late presenters.BMC infectious diseases · 2025Article
- Establishment and evaluation of a predictive model for immune reconstitution in people living with HIV after antiretroviral therapy.BMC infectious diseases · 2025Article
- Predicting the immunological nonresponse to antiretroviral therapy in people living with HIV: a machine learning-based multicenter large-scale study.Frontiers in cellular and infection microbiology · 2025Article
- Alterations of the gut microbiome in HIV infection highlight human anelloviruses as potential predictors of immune recovery.Microbiome · 2024Article
- Mechanisms of HIV-immunologic non-responses and research trends based on gut microbiota.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to build and validate a nomogram model to predict the risk of incomplete immune reconstitution in people living with HIV (PLWH).
methodsTotally 3783 individuals with a confirmed diagnosis of HIV/AIDS were included. A predictive model was developed based on a retrospective set (N = 2678) and was validated using the remaining cases (N = 1105). Univariate and multivariate logistic regression analyses were performed to determine valuable predictors among the collected clinical and laboratory variables. The predictive model is presented in the form of a nomogram, which is internally and externally validated with two independent datasets. The discrimination of nomograms was assessed by calculating the area under the curve (AUC). Besides, calibration curve and decision curve (DCA) analyses were performed in the training and validation sets.
resultsThe final model comprised 5 predictors, including baseline CD4, age at ART initiation, BMI, HZ and TBIL. The AUC of the nomogram model was 0.902, 0.926, 0.851 in the training cohort, internal validation and external cohorts. The calibration accuracy and diagnostic performance were satisfactory in both the training and validation sets.
conclusionsThis predictive model based on a retrospective study was externally validated using 5 readily available clinical indicators. It showed high performance in predicting the risk of incomplete immune reconstitution in people living with HIV.
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