Identification of nutritional risk factors and construction of a nomogram prediction model in AIDS patients

Objective: To investigate the nutritional risk factors in AIDS patients and to develop a nomogram prediction model. Methods: values reported. Based on the multivariable results, a nomogram prediction model was constructed using R version 4.2.1, and its discriminatory ability was evaluated by the area under the receiver operating characteristic curve (AUC). Results: = 0.002) were nutritional risk factors in AIDS patients. A nomogram model, constructed based on these variables, demonstrated good predictive performance, with an AUC of 0.959. At the optimal cutoff value of 0.7684, the sensitivity was 79.31% and the specificity was 97.53%. Conclusion: T-lymphocyte count, and low serum albumin are nutritional risk factors in AIDS patients. The nomogram model based on these three indicators shows acceptable predictive accuracy and may have potential value for the early clinical identification of nutritional risk, although further validation is needed.

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Publication Details

Journal
Frontiers in Nutrition
Published
2026-04-07
DOI
https://doi.org/10.3389/fnut.2026.1807908
Primary Topic
HIV-related health complications and treatments
Type
article
Field-Weighted Citation Impact
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article

Identification of nutritional risk factors and construction of a nomogram prediction model in AIDS patients

Lei Zhang, Xueling Huang, Pengpeng Wang, Li Jiang et al.
Frontiers in Nutrition
HIV-related health complications and treatments
article

Identification of nutritional risk factors and construction of a nomogram prediction model in AIDS patients

Lei Zhang, Xueling Huang, Pengpeng Wang, Li Jiang, Luting Xiao, E. Liang, Jieli Zhou, Xixi Cai
article en

Abstract

Objective: To investigate the nutritional risk factors in AIDS patients and to develop a nomogram prediction model. Methods: values reported. Based on the multivariable results, a nomogram prediction model was constructed using R version 4.2.1, and its discriminatory ability was evaluated by the area under the receiver operating characteristic curve (AUC). Results: = 0.002) were nutritional risk factors in AIDS patients. A nomogram model, constructed based on these variables, demonstrated good predictive performance, with an AUC of 0.959. At the optimal cutoff value of 0.7684, the sensitivity was 79.31% and the specificity was 97.53%. Conclusion: T-lymphocyte count, and low serum albumin are nutritional risk factors in AIDS patients. The nomogram model based on these three indicators shows acceptable predictive accuracy and may have potential value for the early clinical identification of nutritional risk, although further validation is needed.

Frontiers in NutritionVol. 13
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 28%
HIV-related health complications and treatments
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