- P-ISSN 1225-0163
- E-ISSN 2288-8985
- 권한신청
- P-ISSN1225-0163
- E-ISSN2288-8985
- SCOPUS, ESCI, KCI
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Determination of cut-off value by receiver operating characteristic curve of norquetiapine and 9-hydroxyrisperidone concentrations in urine measured by LC-MS/MS
분석과학 / Analytical Science and Technology, (P)1225-0163; (E)2288-8985
2021, v.34 no.2, pp.78-86
https://doi.org/10.5806/AST.2021.34.2.78
(Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office)
(Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office)
(Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office)
(Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office)
(Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office)
Seon,
Y.
K.
,
Dong,
W.
S.
,
&
Jin,
Y.
K.
(2021). . 분석과학, 34(2), 78-86, https://doi.org/10.5806/AST.2021.34.2.78
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Abstract
The objective of this study was to investigate urinary cut-off concentrations of quetiapine and risperidone for distinction between normal and abnormal/non-takers who were being placed on probation. Liquid chromatography-tandem mass spectrometric (LC-MS/MS) method was employed for determination of antipsychotic drugs in urine from mentally disordered probationers. The optimal cut-off values of antipsychotic drugs were calculated using receiver operating characteristic (ROC) curve analysis. The sensitivity and specificity of the method for the detection of antipsychotic drugs in urine were subsequently evaluated. The area under the ROC curve (AUC) was 0.927 for norquetiapine and 0.791 for 9-hydroxyrisperidone, respectively. These antipsychotic drugs are classified readily in the ROC curve analysis. The cut-off values for distinguishing regular and irregular/non-takers were 39.1 ng/mL for norquetiapine and 67.9 ng/mL for 9-hydroxyrisperidone, respectively. The results of this study suggest the cut-off values of quetiapine and risperidone were highly useful to distinguish regular takers from irregular/non-takers.
- keywords
- cut-off value, antipsychotic drugs, ROC curve, LC-MS/MS
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