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Cannabis Cannabinoid Res ; 7(3): 328-335, 2022 06.
Article in English | MEDLINE | ID: mdl-34227872

ABSTRACT

Introduction: As cannabis use continues to increase in popularity, it is important to investigate how it impacts public health in all sectors of the population, including patients undergoing anesthetic management. This retrospective study focuses on the orthopedic trauma population presenting through an emergency department (ED) and receiving a urine drug screen (UDS) with subsequent urgent surgical intervention. We aimed to evaluate differences in response to general anesthesia in patients with exposure to THC, a major cannabinoid, compared to controls that screened negative for THC. Materials and Methods: All ED visits at UC Irvine, a level 1 trauma center between November 4, 2017 and January 7, 2020, were evaluated in this study. Only adult patients who received a UDS and underwent urgent orthopedic trauma surgery within 48 h of ED visit were included in this study. Additional inclusion criteria required an anesthesia time greater than 1 h as well as anesthesia induction and intubation while in the operating room. Overall, we analyzed a total of 221 adult patients. Discussion: When adjusting for demographic variability, there were statistically significant differences in response to general anesthesia between these two groups. The THC-positive (THC(+)) group was less likely to receive intraoperative vasopressors, had higher mean arterial blood pressure and mean diastolic blood pressure, needed less total fluid input and had a lower overall fluid balance. Chronic exposure to THC has been shown to downregulate cannabinoid 1 receptors and cause alterations in endocannabinoid tone. These are two potential mechanisms by which the THC(+) group in our study may have become more resistant to the typically observed hypotensive effects of general anesthesia. Conclusion: The present study suggests that prior use of cannabis, objectively assessed by urinalysis, results in a decreased need for blood pressure support during general anesthesia. The physiological basis for this phenomenon is unclear, but possible causes might include the downregulation of vascular cannabinoid receptor 1 and/or altered endocannabinoid levels after exposure to cannabis.


Subject(s)
Cannabinoids , Cannabis , Hallucinogens , Adult , Analgesics , Anesthesia, General/adverse effects , Blood Pressure , Cannabinoid Receptor Agonists , Cannabinoids/adverse effects , Dronabinol/adverse effects , Endocannabinoids , Humans , Retrospective Studies
3.
J Am Med Inform Assoc ; 27(4): 613-620, 2020 04 01.
Article in English | MEDLINE | ID: mdl-32016407

ABSTRACT

OBJECTIVE: The United States faces an opioid crisis. Integrating prescription drug monitoring programs into electronic health records offers promise to improve opioid prescribing practices. This study aimed to evaluate 2 different user interface designs for prescription drug monitoring program and electronic health record integration. MATERIALS AND METHODS: Twenty-four resident physicians participated in a randomized controlled experiment using 4 simulated patient cases. In the conventional condition, prescription opioid histories were presented in tabular format, and computerized clinical decision support (CDS) was provided via interruptive modal dialogs (ie, pop-ups). The alternative condition featured a graphical opioid history, a cue to visit that history, and noninterruptive CDS. Two attending pain specialists judged prescription appropriateness. RESULTS: Participants in the alternative condition wrote more appropriate prescriptions. When asked after the experiment, most participants stated that they preferred the alternative design to the conventional design. CONCLUSIONS: How patient information and CDS are presented appears to have a significant influence on opioid prescribing behavior.


Subject(s)
Analgesics, Opioid/therapeutic use , Decision Support Systems, Clinical , Electronic Health Records , Practice Patterns, Physicians' , Prescription Drug Monitoring Programs , Systems Integration , User-Computer Interface , Drug Prescriptions/statistics & numerical data , Humans , Internship and Residency , Medical Order Entry Systems , Pain Management , United States
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