Development and validation of a nomogram to predict linezolid-induced thrombocytopenia in hospitalized adults
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Linezolid (LZD) is used to treat infectious diseases caused by Gram-positive bacteria, but thrombocytopenia is one of the main adverse reactions to LZD administration. Early prediction of linezolid-induced thrombocytopenia (LI-TP) is of great importance to improve the clinical outcomes and prognoses. The aim of this study was to develop and validate a prediction model for LI-TP. METHODS: A retrospective cohort of hospitalized adults receiving LZD therapy (January 2014-June 2022) was analyzed. Independent risk factors for LI-TP were identified via logistic regression in the training set (n = 757). A nomogram model for LI-TP were developed based on independent risk factors, and verified in validation set (n = 123). RESULTS: /L), ALT (> 100 IU/L), Ccr (< 67.5 mL/min), and concomitant use with VPA or Tac (p < 0.01) and transformed into a quantifiable nomogram. The nomogram demonstrated strong discrimination with AUCs of 0.760 in training (95% CI: 0.709-0.812, P < 0.001) and 0.767 in validation (95% CI: 0.635-0.899, P < 0.001). The calibration curves and Hosmer-Lemeshow tests confirmed good reliability and specificity of the nomogram model. CONCLUSION: This nomogram provides a practical tool for stratifying LI-TP risk, which provide an important reference for enabling timely clinical interventions to enhance LZD safety.
Source: BMC Pharmacology and Toxicology
Authors: Ya Yang, Xiaogang Hu, Ya Ran, Hongqian Wang, Peishu Fu, Pengpeng Wan, Zhongqing Deng, Xiaoqin Lang, Ning Wang, Fengjun Sun, Yahan Fan, Yuntao Jia
Language: English
Subfield: Toxicology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,090
OpenAlex ID: W4408062064
