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Sedation using 5% lidocaine patches, midazolam and propofol in a combative, obese adolescent with severe autistic disorder undergoing brain magnetic resonance imaging: a case report

Overview of attention for article published in Korean Journal of Anesthesiology, December 2014
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Title
Sedation using 5% lidocaine patches, midazolam and propofol in a combative, obese adolescent with severe autistic disorder undergoing brain magnetic resonance imaging: a case report
Published in
Korean Journal of Anesthesiology, December 2014
DOI 10.4097/kjae.2014.67.6.421
Pubmed ID
Authors

Kwon Hui Seo, Hong Soo Jung, Eu Gene Kang, Change Jae Kim, Ho Young Rhee, Yeon Soo Jeon

Abstract

We present a 17-year-old man who underwent brain magnetic resonance imaging and laboratory exams for uncontrolled seizure. Patients with an autistic disorder require deep sedation or, occasionally, general anesthesia even for radiologic exams or simple procedures. The anesthetic management of an obese, violent patient with a severe autistic disorder and mental retardation can be challenging to anesthesiologists and requires a more careful approach in selecting adequate anesthetics and doses. This case emphasizes the importance of having a detailed plan to ensure the smooth process of premedication, anesthetic induction, maintenance, emergence and safe discharge of incorporated patients in the event of unexpected situations. A 5% lidocaine patch to relieve the pain from the intramuscular injection and intravenous cannulation, intramuscular midazolam as premedication, and propofol for the maintenance of sedation can be a good sedation protocol in incorporated patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 17%
Researcher 4 13%
Student > Ph. D. Student 4 13%
Student > Master 3 10%
Professor 1 3%
Other 1 3%
Unknown 12 40%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Nursing and Health Professions 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Neuroscience 2 7%
Computer Science 1 3%
Other 3 10%
Unknown 13 43%