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Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients

BACKGROUND: This study aimed to establish an effective ultrasound diagnostic nomogram for benign or malignant lymph nodes in HIV-infected patients. METHODS: The nomogram is based on a retrospective study of 131 HIV-infected patients who underwent ultrasound assess at the Shanghai Public Health Clini...

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Autores principales: Huang, Chen, Shi, Xia, Ma, Xin, Liu, Jianjian, Huang, Jingjing, Deng, Li, Cao, Ye, Zhao, Mingkun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332024/
https://www.ncbi.nlm.nih.gov/pubmed/37430187
http://dx.doi.org/10.1186/s12879-023-08419-1
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author Huang, Chen
Shi, Xia
Ma, Xin
Liu, Jianjian
Huang, Jingjing
Deng, Li
Cao, Ye
Zhao, Mingkun
author_facet Huang, Chen
Shi, Xia
Ma, Xin
Liu, Jianjian
Huang, Jingjing
Deng, Li
Cao, Ye
Zhao, Mingkun
author_sort Huang, Chen
collection PubMed
description BACKGROUND: This study aimed to establish an effective ultrasound diagnostic nomogram for benign or malignant lymph nodes in HIV-infected patients. METHODS: The nomogram is based on a retrospective study of 131 HIV-infected patients who underwent ultrasound assess at the Shanghai Public Health Clinical Center from December 2017 to July 2022. The nomogram’s predictive accuracy and discriminative ability were determined by concordance index (C-index) and calibration curve analysis. A nomogram combining the lymph node US characteristics were generated based on the multivariate logistic regression results. RESULTS: Predictors contained in the ultrasound diagnostic nomogram included age (OR 1.044 95%CI: 1.014–1.074 P = 0.004), number of enlarged lymph node regions (OR 5.445 95%CI: 1.139–26.029 P = 0.034), and color Doppler flow imaging (CDFI) grades (OR 9.614 95%CI: 1.889–48.930 P = 0.006). The model displayed good discrimination with a C (ROC) of 0.775 and good calibration. CONCLUSIONS: The proposed nomogram may result in more-accurate diagnostic predictions for benign or malignant lymph nodes in patients with HIV infection.
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spelling pubmed-103320242023-07-11 Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients Huang, Chen Shi, Xia Ma, Xin Liu, Jianjian Huang, Jingjing Deng, Li Cao, Ye Zhao, Mingkun BMC Infect Dis Research BACKGROUND: This study aimed to establish an effective ultrasound diagnostic nomogram for benign or malignant lymph nodes in HIV-infected patients. METHODS: The nomogram is based on a retrospective study of 131 HIV-infected patients who underwent ultrasound assess at the Shanghai Public Health Clinical Center from December 2017 to July 2022. The nomogram’s predictive accuracy and discriminative ability were determined by concordance index (C-index) and calibration curve analysis. A nomogram combining the lymph node US characteristics were generated based on the multivariate logistic regression results. RESULTS: Predictors contained in the ultrasound diagnostic nomogram included age (OR 1.044 95%CI: 1.014–1.074 P = 0.004), number of enlarged lymph node regions (OR 5.445 95%CI: 1.139–26.029 P = 0.034), and color Doppler flow imaging (CDFI) grades (OR 9.614 95%CI: 1.889–48.930 P = 0.006). The model displayed good discrimination with a C (ROC) of 0.775 and good calibration. CONCLUSIONS: The proposed nomogram may result in more-accurate diagnostic predictions for benign or malignant lymph nodes in patients with HIV infection. BioMed Central 2023-07-10 /pmc/articles/PMC10332024/ /pubmed/37430187 http://dx.doi.org/10.1186/s12879-023-08419-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Chen
Shi, Xia
Ma, Xin
Liu, Jianjian
Huang, Jingjing
Deng, Li
Cao, Ye
Zhao, Mingkun
Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients
title Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients
title_full Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients
title_fullStr Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients
title_full_unstemmed Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients
title_short Research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in HIV-infected patients
title_sort research to develop a diagnostic ultrasound nomogram to predict benign or malignant lymph nodes in hiv-infected patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332024/
https://www.ncbi.nlm.nih.gov/pubmed/37430187
http://dx.doi.org/10.1186/s12879-023-08419-1
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