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利奈唑胺相关血小板减少风险预测模型构建及应用

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目的 建立利奈唑胺相关血小板减少的联合因素风险预测模型,根据联合因素风险阈值预测初次治疗药物监测(TDM)的时间。方法 选取新疆某三甲医院 2017 年 1 月至 2022 年 1 月使用利奈唑胺治疗感染性疾病的患者 149 例,根据是否发生血小板减少分为血小板减少组(61 例)和非血小板减少组(88 例),采用Logistic回归分析法筛选利奈唑胺相关血小板减少的危险因素,建立联合因素的风险预测模型。根据联合因素风险阈值预测初次TDM时间,并进行验证。结果 61 例(40。94%)患者发生了血小板减少症,疗程不低于 12d[OR=6。620,95%CI(2。338,18。74),P<0。001],估算肾小球滤过率不超过 60 mL/(min·1。73 m2)[OR=7。352,95%CI(1。723,31。37),P=0。007],内生肌酐清除率(CCr)不超过 60 mL/min[OR=4。464,95%CI(1。349,14。77),P=0。014]为利奈唑胺相关血小板减少的独立危险因素。联合因素(疗程和CCr)的受试者工作特征(ROC)曲线下面积(AUC)为 0。904 2,95%CI为(0。856 6,0。951 9),敏感度为 86。89%,特异度为 80。68%,临界值为 4。871;确定联合因素的风险阈值为 5。0。结论 所建立的联合因素风险预测模型具有较好的诊断效能,可用于反向预测初次TDM的时间,提高利奈唑胺临床应用的有效性和安全性。
Construction and Application of a Risk Prediction Model for Linezolid-Related Thrombocytopenia
Objective To establish a combined factor risk prediction model for linezolid-related thrombocytopenia,and to predict the time of first therapeutic drug monitoring(TDM)according to the combined factor risk threshold.Methods A total of 149 patients with infectious diseases treated with linezolid from January 2017 to January 2022 in a Grade-A hospital in Xinjiang were selected and divided into the thrombocytopenia group(n=61)and the non-thrombocytopenia group(n=88)according to whether they had thrombocytopenia or not.The risk factors associated with linezolidin-related thrombocytopenia were screened by the Logistic regression analysis,and a combined factor risk prediction model was established.The time of the first TDM was predicted and validated according to the the combined factor risk threshold.Results A total of 61 patients(40.94% )developed thrombocytopenia,and the course of treatment≥12 d[OR=6.620,95% CI(2.338,18.74),P<0.001],epidermal growth factor receptor(eGFR)≤60 mL/(min·1.73 m2)[OR=7.352,95% CI(1.723,31.37),P=0.007],and creatinine clearance rate(CCr)≤60 mL/min[OR=4.464,95% CI(1.349,14.77),P=0.014]were independent risk factors for linezolidin-related thrombocytopenia.The area under the receiver operating characteristic(ROC)curve(AUC)of the combined factors(course of treatment and CCr)was 0.904 2,with a 95% CI of 0.856 6-0.9519,a sensitivity of 86.89%,a specificity of 80.68%,and a critical value of 4.871.The risk threshold for determining the combined factors was 5.0.Conclusion The combined factor risk prediction model has good diagnostic efficacy,which can be used to reverse predict the time of the first TDM,and improve the effectiveness and safety of the clinical application of linezolid.

linezolidthrombocytopeniarisk factorstherapeutic drug monitoringrisk prediction model

苟军强、王晓锋、李倩、杨善鹏、尹东锋

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石河子大学药学院,新疆 石河子 832003

中国人民解放军新疆军区总医院,新疆 乌鲁木齐 830000

利奈唑胺 血小板减少 危险因素 治疗药物风险监测 预测模型

2024

中国药业
重庆市食品药品监督管理局

中国药业

CSTPCD
影响因子:1.369
ISSN:1006-4931
年,卷(期):2024.33(13)