Construction and evaluation of a risk prediction model for linezolid-related neurological adverse reactions in patients with multidrug-resistant tuberculosis
TANG Haojie
YANG Zilong
YU Zhaoxian
FENG Zhiyu
DONG Haiping
LI Xiang
ZHAO Wei
KUANG Haobin
Abstract：Objective To investigate the determinants of linezolid-associated neurological adverse reactions in patients with multidrug-resistant tuberculosis and develop a risk prediction model for such adverse events.Methods A prospective cohort study design was employed to select 120 patients with drug-resistant pulmonary tuberculosis who received a chemotherapy regimen containing linezolid at Guangzhou Chest Hospital from April 2023 to January 2024 as the study population.Clinical data,adverse reactions,and plasma concentration of linezolid were collected during fasting and at 2 hours post-medication.Univariate analysis and multivariate logistic regression were conducted to identify factors influencing linezolid-related neurological adverse reactions.Furthermore,a prediction model for such adverse reactions was developed,and its predictive efficacy and calibration ability were evaluated using ROC analysis.Results Re-treatment(OR=2.540,P=0.028),coexistence of cavities(OR=4.092,P=0.021),anemia(OR=10.921,P=0.005),and Cmin≥0.7665 mg/L(OR=6.813,P<0.001)are independent risk factors for the occurrence of linezolid-related neurological adverse reactions.The prediction model,based on these four factors,exhibits an AUC of 0.851(95%CI:0.774～0.929),accompanied by a Youden index of 0.590,a sensi-tivity of 66.7%,and a specificity of 92.3%.Moreover,the prediction model demonstrates excellent calibration ability.(Hosmer-lemeshow χ2=8.719,P=0.273).Conclusion In MDR/RR-TB patients,the presence of cavita-tion,retreatment,and anemia may confer a heightened risk of linezolid-related neurological adverse reactions.A risk prediction model incorporating these four indicators demonstrates significant predictive value for the occurrence of such adverse events.
Keywords：linezolidmultidrug-resistantpulmonary tuberculosisnervous systemadverse reactionsprediction model
Publication Date：2024-10-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2690-2695 )