AUTHOR=Yan Jisong , Zhang Wenyuan , Luo Hong , Wang Xianguang , Ruan Lianguo 

TITLE=Development and validation of a scoring system for the prediction of HIV drug resistance in Hubei province, China

JOURNAL=Frontiers in Cellular and Infection Microbiology

VOLUME=Volume 13 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2023.1147477

DOI=10.3389/fcimb.2023.1147477

ISSN=2235-2988

ABSTRACT=Objective: The present study aimed to build and validate a new nomogram-based scoring system for the prediction of HIV drug resistance (HIVDR). 
Design and methods: Totally 618 patients with HIV/AIDS were included. The predictive model was created using a retrospective set (N = 427) and internally validated with the remaining cases (N = 191). Multivariable logistic regression analysis was carried out to fit a model using candidate variables selected by Least absolute shrinkage and selection operator (LASSO) regression. The predictive model was first presented as a nomogram, then transformed into a simple and convenient scoring system and tested in the internal validation set.
Results: The developed scoring system consisted of age (2 points), duration of ART (5 points), treatment adherence (4 points), CD4 cell count (1 point) and HIV-1 RNA levels (1 point). With a cutoff value of 7.5 points, the AUC, sensitivity, specificity, PLR and NLR values were 0.812, 82.13%, 64.55%, 2.32 and 0.28, respectively, in the training set. The novel scoring system exhibited a favorable diagnostic performance in both the training and validation sets.
Conclusion: The novel scoring system can be used for individualized prediction of HIVDR patients. It has satisfactory accuracy and good calibration, which is beneficial for clinical practice.