Abstract：
The therapeutic range of voriconazole (VRC) is narrow, this study aimed to explore factors influencing VRC plasma concentrations > 5 mg/L and to construct a clinical risk score nomogram prediction model. Clinical data from 221 patients with VRC prophylaxis and treatment were retrospectively analyzed. The patients were randomly divided into a training cohort and a validation cohort at a 7:3 ratio. Univariate and binary logistic regression analysis was used to select independent risk factors for VRC plasma concentration above the high limit (5 mg/L). Four indicators including age, weight, CYP2C19 genotype, and albumin were selected to construct the nomogram prediction model. The area under the curve values of the training cohort and the validation cohort were 0.841 and 0.802, respectively. The decision curve analysis suggests that the nomogram model had good clinical applicability. In conclusion, the nomogram provides a reference for early screening and intervention in a high-risk population.
摘要：
伏立康唑（VRC）的治疗范围狭窄，本研究旨在探讨VRC血浆浓度>5mg/L的影响因素,并构建临床风险评分列线图预测模型.回顾性分析221例VRC预防和治疗患者的临床资料。患者以7:3的比例随机分为训练队列和验证队列。单因素和二元logistic回归分析用于选择VRC血浆浓度高于上限（5mg/L）的独立危险因素。包括年龄在内的四个指标,体重,CYP2C19基因型,选择白蛋白构建列线图预测模型。训练队列和验证队列的曲线下面积值分别为0.841和0.802。决策曲线分析表明，列线图模型具有良好的临床适用性。总之,列线图为高危人群的早期筛查和干预提供了参考.
