ผู้วิจัย/Authors: chumpoonuch sakontavaree, chanatthida muangkum, pholphat losatiankij

ชื่อเรื่อง/Title: Analysis of Medication Used Patterns in Patients with neuroleptic Malignant Syndrome by Association Rules Technique.

แหล่งที่มา/Source: Journal of Somdet Chaopraya Institute of Psychiatry, Vol. 11, No. 1, 2017 Page 12.

รายละเอียด / Details:

Objective: The purpose of thes study was to find out the relationship of the pattern of medication use in schizophrenic patients with Neuroleptic Malignant Syndrome (NMS) by using data mining tasks in term of association rules technique.

Material and Method: This was a retrospective study from data base and inpatients medical records of 91 patients who was diagnosed as Neuroleptic Malignant Syndrome (NMS) according to ICD 10: G21.0 at Somdet Chaopraya Institute of Psychiatry from 1st August 2005 to 31st December 2013. This association rules be weka program which is a collection of machine learning algorithms for data mining tasks was used to analyse.

Results: 41 schizophrenic patients diagnosed as NMS were idenfified and most of them were males (58.54%). 5 pattern of frequency used medication pattern were found which were perphenazine and trihexyphenidyl, diazepam and trihexyphenidyl, chlorpromazine and trihexyphenidyl, perphenazine+ diazepam and trihexyphenenidyl, chlorpromazine and trihexyphenidyl. The most frequency used of medication pattern was perphenazine and trihexyphenidyl (60.9%).

Conclusion: NMS in Somdet Chaopraya Institute of Psychiatry had found 41 patients from 29,792 inpatients (0.14%). In addition, perphenazine and trihexyphenidyl was the most frequency used medication pattern with NMS. Howeverm two items of typical antipsychtic drug group (using this drug group is risk for NMS occurrence) which were parphenazine or chlorpromazine and trihexyphenidyl were used together. Therefore, clinician should be concerned about NMS occurrence, especially using this patterns together.

Keywords: association rule, medication used patterns, neuroleptic malignant syndrome

ปีที่เผยแพร่/Year: 2017

Address: Pharmacist, Somdet Chaopraya Institute of Psychiatry, Psychiatist, Somdet Chaopraya Institute of Psychiatry

Code: 2017000036

ISSN/ISBN: 1905-8586

Country of publication: Thailand

Language: English

Category: Abstract

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