クロザピン血漿中濃度350 ng/mL未満を予測するための臨床リスクスコアノモグラムの開発と検証:後向きコホート研究
Jing Ding1, Jiarui Liu1, Yuanyuan Zhai1
1Xi'an Mental Health Center, Xi'an, Shaanxi, China.
Aims:
A plasma clozapine concentration below 350 ng/mL may result in treatment failure; however, a rapid method for predicting whether a patient's plasma concentration meets this threshold is lacking. This study aimed to develop a nomogram to predict the risk of subtherapeutic clozapine concentrations in treated patients.
Methods:
Univariate and multivariate logistic regression analyses were performed to identify independent risk factors associated with subtherapeutic clozapine concentrations. A predictive nomogram prediction model was then constructed based on these factors. The ethics committee of the Xi'an Mental Health Center approved the study (XAJWKY-2024034).
Results:
Multivariate logistic regression analysis identified daily dose (OR = 0.987, 95% CI: 0.984-0.990, P < 0.001) and sex (OR = 3.863, 95% CI: 2.597-5.746, P < 0.001) as independent factors influencing the subtherapeutic concentrations of clozapine. A predictive nomogram was constructed based on a multivariable prediction model, which demonstrated good accuracy and discriminative ability, with an area under the curve of 0.760. Validation of the model's calibration curve resulted in a concordance index of 0.764. A decision curve analysis revealed that the nomogram predicting the risk of subtherapeutic plasma clozapine concentrations exhibited a greater net benefit value, ranging from 10% to 62%. Additionally, our research indicated that the daily dosage of clozapine required for male patients to achieve a plasma concentration of 350-600 ng/mL ranges from 228.8 to 392.2 mg, whereas it ranges from 154.2 to 264.3 mg for female patients.
Conclusions:
The constructed nomogram was effective at predicting the risk level associated with subtherapeutic clozapine plasma concentrations.
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