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豫南地区精神分裂症患者氯氮平高血药浓度的影响因素及风险预测模型的构建
引用本文:宋艳宁,陈永超,张慧英,付继勇,李小新,张宏伟,夏爽.豫南地区精神分裂症患者氯氮平高血药浓度的影响因素及风险预测模型的构建[J].中国医院药学杂志,2022,42(16):1668-1672.
作者姓名:宋艳宁  陈永超  张慧英  付继勇  李小新  张宏伟  夏爽
作者单位:1. 驻马店市第二人民医院, 河南 驻马店 463000;2. 驻马店市第一人民医院, 河南 驻马店 463000
基金项目:河南省科技攻关资助项目(编号:202102310411)
摘    要:目的:分析豫南地区精神分裂症患者发生氯氮平高血药浓度的风险因素,建立氯氮平高血药浓度的风险预测模型。方法:纳入接受氯氮平治疗的631名精神分裂症患者,根据氯氮平血药浓度监测值分为超标组(≥ 600 ng·mL-1)140例和对照组(<600 ng·mL-1)491例。采用二元Logistic回归分析筛选出氯氮平高血药浓度的独立危险因素,构建氯氮平高血药浓度的列线图预测模型。结果:性别(OR=4.127,P<0.001)、BMI (OR=1.074,P=0.01)、日剂量(OR=1.013,P<0.001)、发热(OR=19.266,P<0.001)、氯氮平服药史(OR=2.505,P<0.001)、联用美托洛尔(OR=2.446,P=0.007)、联用普萘洛尔(OR=2.493,P=0.003)是发生氯氮平高血药浓度的独立危险因素。构建的列线图AUC达到0.870,校准曲线显示预测概率与实际概率之间具有最佳一致性。结论:性别、BMI、剂量、发热、服药史、联用美托洛尔、联用普萘洛尔是豫南地区精神分裂症患者发生氯氮平高血药浓度的独立危险因素,该研究构建的列线图具有最佳辨别力和出色的校准能力。

关 键 词:氯氮平  血药浓度  风险预测模型  
收稿时间:2022-01-24

Influencing factors of high clozapine plasma concentration in patients with schizophrenia in Southern Henan and construction of risk prediction model
SONG Yan-ning,CHEN Yong-chao,ZHANG Hui-ying,FU Ji-yong,LI Xiao-xin,ZHANG Hong-wei,XIA Shuang.Influencing factors of high clozapine plasma concentration in patients with schizophrenia in Southern Henan and construction of risk prediction model[J].Chinese Journal of Hospital Pharmacy,2022,42(16):1668-1672.
Authors:SONG Yan-ning  CHEN Yong-chao  ZHANG Hui-ying  FU Ji-yong  LI Xiao-xin  ZHANG Hong-wei  XIA Shuang
Institution:1. Second People's Hospital of Zhumadian, Henan Zhumadian 463000, China;2. First People's Hospital of Zhumadian, Henan Zhumadian 463000, China
Abstract:OBJECTIVE To analyze the risk factors of high clozapine plasma concentration in patients with schizophrenia in Southern Henan, and to establish a risk prediction model of high clozapine plasma concentration.METHODS 631 patients with schizophrenia treated with clozapine were included.According to the clozapine plasma concentration monitoring value, they were divided into 140 cases in the over-standard group (≥ 600 ng·mL-1) and 491 cases in the control group (<600 ng·mL -1).Binary logistic regression analysis was used to screen out independent risk factors for high clozapine plasma concentration.Construct a nomogram to predict the risk of high clozapine plasma concentration.RESULTS Gender (OR=4.127, P<0.001), BMI (OR=1.074, P=0.01), daily dose (OR=1.013, P<0.001), fever (OR=19.266, P<0.001), clozapine medication history (OR=2.505, P<0.001), combined with metoprolol (OR=2.446, P=0.007), combined with propranolol (OR=2.493, P=0.003) were independent risk factors for high clozapine plasma concentration.The AUC of nomogram reached 0.870.The calibration curve showed the best consistency between predicted probability and actual probability.CONCLUSION Gender, BMI, daily dose, fever, medication history, combined with metoprolol, and combined with propranolol were independent risk factors that lead to high clozapine plasma concentration in patients with schizophrenia in southern Henan.The nomogram constructed in this study had optimal discrimination and excellent calibration.
Keywords:clozapine  plasma concentration  risk prediction model  
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