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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), tr
SUBMITTER: Yan J
PROVIDER: S-EPMC10208424 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature