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1.
Risk Manag Healthc Policy ; 12: 243-249, 2019.
Article in English | MEDLINE | ID: mdl-31814786

ABSTRACT

PURPOSE: This study objective was to explore the pattern of self-medications among King Khalid University students, Saudi Arabia. PATIENTS AND METHODS: A cross-sectional study was conducted over five months among King Khalid University students, Abha, Saudi Arabia. RESULTS: Among all the study participants, nearly 98.7% were practicing self-medication. Headache (75.9%), cough and cold (52.5%), and fever (35.6%) and body pain (24.6%) were the most reported symptoms. Use of painkillers (91.6%) was significantly predominant among the medical students, whereas non-medical students used antibiotics (35.4%).Time saving (64.2%), mild symptom (51.7%) and quick relief (36.9%) were the reasons behind seeking self-medication in this study. CONCLUSION: Self-medications was common in King Khalid University. Educational programs are highly recommended.

2.
J Clin Diagn Res ; 7(12): 2739-43, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24551627

ABSTRACT

INTRODUCTION: The Liquid Chromatography Tandem Mass Spectrometry (LC-MS-MS) for determination simvastatin in human plasma has been developed after extraction by by ethyl acetate and hexane (90/10%, v/v) using lovastatin as internal standard. MATERIAL AND METHODS: The mobile phase consisting of mixture of acetonitrile and water (75/25%, v/v) 500µL/min by separated the solutes on a C18 column. DISCUSSION: The lower limit of quantitation of 0.25 ng/mL was achieved when the calibration curve was linear from 0.25-50 ng/mL. The entire run time for analysis was only 6 min. The quantitation in the selective reaction monitoring (SRM) in positive ion mode, the daughter ions m/z 325 for simvastatin and m/z 285 for lovastatin were used. The Parent ions in positive ion mode were m/z 441.3 for simvastatin and m/z 405.1 for lovastatin. The intra-day coefficients of variation were less than 14% while the inter-day coefficients of variation were less than 10%. CONCLUSION: The LC-MS-MS detection is sensitive due to its capability to eliminate interferences from endogenous components.

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