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The purpose of this narrative review is to provide practical and useful guidance for clinicians considering the use of intravenous ketamine for its analgosedative properties in adult, critically ill patients. MEDLINE was searched from inception until January 2016. Articles related to the pharmacological properties of ketamine were retrieved. Information pertaining to pharmacology, pharmacokinetics, dosing regimens, adverse effects, and outcomes was obtained from relevant studies. Although the primary mechanism for ketamine's pharmacological effects is N-methyl-d-aspartate blockade, there are several potential mechanisms of action. It has a very large volume of distribution due to its lipophilicity, which can lead to drug accumulation with sustained infusions. Ketamine has several advantages compared with conventional sedatives such as preserving pharyngeal and laryngeal protective reflexes, lowering airway resistance, increasing lung compliance, and being less likely to produce respiratory depression. It causes sympathetic stimulation, which is also unlike other sedatives and analgesics. There are psychotomimetic effects, which are a concern in terms of delirium. Dosing and monitoring recommendations are provided. Ketamine has a unique pharmacological profile compared with more traditional agents such as opioids, which makes it an appealing alternative agent for analgosedation in the intensive care unit setting.

BackgroundMedication reconciliation is an effective strategy to prevent medication errors upon hospital admission and requires obtaining a patient’s best possible mediation history (BPMH). However, obtaining a BPMH is time-consuming and pharmacy students may assist pharmacists in this task. AimTo evaluate the proportion of patients who have an accurate BPMH from the pharmacy student-obtained BPMH compared to the pharmacist-obtained BPMH.MethodTwelve final-year pharmacy students were trained to obtain BPMHs upon admission at 2 tertiary hospitals and worked in pairs. Each student pair completed one 8-h shift each week for 8 weeks. Students obtained BPMHs for patients taking 5 or more medications. A pharmacist then independently obtained and checked the student BPMH from the same patient for accuracy. Deviations were determined between student-obtained and pharmacist-obtained BMPH. An accurate BPMH was defined as only having no-or-low risk medication deviations.ResultsThe pharmacy students took BPMHs for 91 patients. Of these, 65 patients (71.4%) had an accurate BPMH. Of the 1170 medications included in patients’ BPMH, 1118 (95.6%) were deemed accurate. For the student-obtained BPMHs, they were more likely to be accurate for patients who were older (OR 1.04; 95% CI 1.03–1.06; p < 0.001), had fewer medications (OR 0.85; 95% CI 0.75–0.97; p = 0.02), and if students used two source types (administration and supplier) to obtain the BPMH (OR 1.65; 95% CI 1.09–2.50; p = 0.02).ConclusionIt is suitable for final-year pharmacy students to be incorporated into the BPMHs process and for their BPMHs to be verified for accuracy by a pharmacist.

Background Point-of-care ultrasound is becoming a ubiquitous diagnostic tool, and there has been increasing interest to teach novice practitioners. One of the challenges is the scarcity of qualified instructors, and with COVID-19, another challenge is the difficulty with social distancing between learners and educators. The purpose of our study was to determine if ultrasound-naïve operators can learn ultrasound techniques and develop the psychomotor skills to acquire ultrasound images after reviewing SonoSim® online modules. Methods This was a prospective study evaluating first-year medical students. Medical students were asked to complete four SonoSim® online modules (aorta/IVC, cardiac, renal, and superficial). They were subsequently asked to perform ultrasound examinations on standardized patients utilizing the learned techniques/skills in the online modules. Emergency Ultrasound-trained physicians evaluated medical students’ sonographic skills in image acquisition quality, image acquisition difficulty, and overall performance. Data are presented as means and percentages with standard deviation. All P values are based on 2-tailed tests of significance. Results Total of 44 medical students participated in the study. All (100%) students completed the hands-on skills evaluation with a median score of 83.7% (IQR 76.7–88.4%). Thirty-three medical students completed all the online modules and quizzes with median score of 87.5% (IQR 83.8–91.3%). There was a positive association between module quiz performance and the hands-on skills performance (R-squared = 0.45; p  < 0.001). There was no statistically significant association between module performance and hands-on performance for any of the four categories individually. In all four categories, the evaluators’ observation of the medical students’ difficulty obtaining views correlated with hands-on performance scores. Conclusions Our study findings suggest that ultrasound-naïve medical students can develop basic hands-on skills in image acquisition after reviewing online modules.

To compare a phenobarbital-adjunct versus benzodiazepine-only approach for the management of alcohol withdrawal syndrome in the emergency department (ED) with regard to the need for intensive care unit (ICU) admission, severity of symptoms on ED discharge, and complications. This was a retrospective cohort study conducted in two academic EDs in the United States. Adult patients seen in the ED with a diagnosis of alcohol withdrawal syndrome were included. Patients were categorized into two groups based on whether phenobarbital was administered in the ED: 1) phenobarbital group (with or without benzodiazepines) or 2) non-phenobarbital group. The primary outcome measure was the need for ICU admission. Secondary outcomes included Clinical Institute Withdrawal Assessment for Alcohol (CIWA-Ar) scores at ED discharge, and complications. Complications were a composite of death, need for intubation, hypotension or vasopressor use, seizures, and hospital acquired pneumonia. The study cohort included 209 patients (phenobarbital = 97, non-phenobarbital = 112). The mean (standard deviation) age was 49 (12) years and 85% (n = 178) were male. A similar proportion of patients in the phenobarbital (14%, n = 14) and non-phenobarbital (11%, n = 12) groups required ICU admission (p = 0.529). The median CIWA-Ar score on ED discharge was 7 (IQR 4–12) points in the phenobarbital group and 7 (IQR 4–14) points in the non-phenobarbital group (p = 0.752). The occurrence of complications was also similar in the phenobarbital (9%, n = 9) and non-phenobarbital groups (11%, n = 10). Adjunctive phenobarbital use in the ED for alcohol withdrawal syndrome did not result in decreased ICU admission, severity of symptoms, or complications.

The objective of this study was to compare emergency department (ED) length of stay (LOS) between patients treated with opioid analgesia versus non-opioid analgesia for low back pain (LBP) in the ED. We conducted a secondary analysis of National Hospital Ambulatory Medical Care Survey (NHAMCS) data (2014–2015). Adults (age ≥18 years) who presented to the ED with a reason for visit or primary diagnosis of LBP were included in the final study sample. Patient visits were categorized into two groups based on whether they received opioid analgesia (with or without non-opioid analgesia) or non-opioid analgesia only in the ED. The primary outcome measure was ED LOS, which was log-transformed (as ED LOS was not normally distributed) for analysis. A multivariable linear regression analysis was used to evaluate the association between opioid use and ED LOS. The study sample consisted of a national estimate of approximately 8.6 million ED visits for LBP (during 2014–2015), of which 60.1% received opioids and 39.9% received non-opioids only. The geometric mean ED LOS for patient visits who received opioids was longer than patient visits who received non-opioids (142 versus 92 min, respectively; p < 0.001). After adjusting for confounders in the multivariable analysis, patient visits that received opioids had a significantly longer ED LOS (coefficient 0.25; 95% CI 0.11 to 0.38; p < 0.001). In a nationally representative sample of patient visits to ED due to LBP in the US, use of opioids in the ED was associated with an increased ED LOS.

The goal of emergency airway management is first pass success without adverse events (FPS-AE). Anatomically difficult airways are well appreciated to be an obstacle to this goal. However, little is known about the effect of the physiologically difficult airway with regard to FPS-AE. This study evaluates the effects of both anatomically and physiologically difficult airways on FPS-AE in patients undergoing rapid sequence intubation (RSI) in the emergency department (ED). We analyzed prospectively recorded intubations in a continuous quality improvement database between July 1, 2014-June 30, 2018. Emergency medicine (EM) or emergency medicine/pediatric (EM-PEDS) residents recorded patient, operator, and procedural characteristics on all consecutive adult RSIs performed using a direct or video laryngoscope. The presence of specific anatomically and physiologically difficult airway characteristics were also documented by the operator. Patients were analyzed in four cohorts: 1) no anatomically or physiologically difficult airway characteristics; 2) one or more anatomically difficult airway characteristics; 3) one or more physiologically difficult airway characteristics; and 4) both anatomically and physiologically difficult airway characteristics. The primary outcome was FPS-AE. We performed a multivariable logistic regression analysis to determine the association between anatomically difficult airways or physiologically difficult airways and FPS-AE. A total of 1513 intubations met inclusion criteria and were analyzed. FPS-AE for patients without any difficult airway characteristics was 92.4%, but reduced to 82.1% (difference = -10.3%, 95% confidence interval (CI), -14.8% to -5.6%) with the presence of one or more anatomically difficult airway characteristics, and 81.7% (difference = -10.7%, 95% CI, -17.3% to -4.0%) with the presence of one or more physiologically difficult airway characteristics. FPS-AE was further reduced to 70.9% (difference = -21.4%, 95% CI, -27.0% to -16.0%) with the presence of both anatomically and physiologically difficult airway characteristics. The adjusted odds ratio (aOR) of FPS-AE was 0.37 [95% CI, 0.21 - 0.66] in patients with anatomically difficult airway characteristics and 0.36 [95% CI, 0.19 - 0.67] for patients with physiologically difficult airway characteristics, compared to patients with no difficult airway characteristics. Patients who had both anatomically and physiologically difficult airway characteristics had a further decreased aOR of FPS-AE of 0.19 [95% CI, 0.11 - 0.33]. FPS-AE is reduced to a similar degree in patients with anatomically and physiologically difficult airways. Operators should assess and plan for potential physiologic difficulty as is routinely done for anatomically difficulty airways. Optimization strategies to improve FPS-AE for patients with physiologically difficult airways should be studied in randomized controlled trials.

The primary objective of this study was to determine the proportion of patients with medication discrepancies when using a self-administered medication history form in the emergency department (ED). The secondary objectives were to identify predictors of medication discrepancies and determine the proportion of patients with a high-risk medication discrepancy. This was a cross-sectional study conducted in an urban ED in Australia. Patients completed a self-administered medication history form while waiting to be seen by a physician. Subsequently, a best possible medication history was taken by a pharmacist to determine accuracy of the self-reported medication lists for patients with planned admissions. Discrepancies between the two medication lists were reported descriptively. A Poisson regression analysis was conducted to identify predictors of the rate of discrepancies. Associations were reported as incident rate ratios (IRR). A total of 138 patients were included in the study. The total number of discrepancies was as follows: 0 (25%, n = 34), 1 (34%, n = 47), 2 (11%, n = 15), and ≥3 (30%, n = 42). The number of medications (IRR 1.11, 95% CI 1.09 to 1.14, p < 0.001), female (IRR 1.51, 95% CI 1.18 to 1.92, p = 0.001), and missing community pharmacy information (IRR 2.10, 95% CI 1.64 to 2.68, p < 0.001) were significantly associated with rate of discrepancies. Overall, 20% (n = 28) of patients had one or more high-risk medication discrepancies. Patient self-administered medication history forms have a high rate of discrepancies and should be verified by a best possible medication history.

Due to variability in pharmacokinetics and pharmacodynamics, clinical outcomes of antimicrobial drug therapy vary between patients. As such, personalised medication management, considering both pharmacokinetics and pharmacodynamics, is a growing concept of interest in the field of infectious diseases. Therapeutic drug monitoring is used to adjust and individualise drug regimens until predefined pharmacokinetic exposure targets are achieved. Minimum inhibitory concentration (drug susceptibility) is the best available pharmacodynamic parameter but is associated with many limitations. Identification of other pharmacodynamic parameters is necessary. Repurposing diagnostic biomarkers as pharmacodynamic parameters to evaluate treatment response is attractive. When combined with therapeutic drug monitoring, it could facilitate making more informed dosing decisions. We believe the approach has potential and justifies further research.

Prothrombin complex concentrate (PCC) is used as an alternative to fresh frozen plasma (FFP) for emergency bleeding. The primary objective of this study was to compare the time from order to start of administration between 3-factor PCC (PCC3), 4-factor (PCC4), and FFP in the emergency department (ED). The secondary objective was to evaluate the effect of an ED pharmacist on time to administration of PCCs. This was a single center three-arm retrospective cohort study. Adult patients in the ED with bleeding were included. The primary outcome measure was the time from order to administration, which was compared between PCC3, PCC4, and FFP. The time from order to administration was also compared when the ED pharmacist was involved versus not involved in the care of patients receiving PCC. There were 90 patients included in the study cohort (30 in each group). The median age was 69years (IQR 57–82years), and 57% (n=52) were male. The median time from order to administration was 36min (IQR 20–58min) for PCC3, 34min (IQR 18–48min) for PCC4, and 92min (IQR 63–133) for FFP (PCC3 versus PCC4, p=0.429; PCC3 versus FFP, p<0.001; PCC4 versus FFP, p<0.001). The median time from order to administration was significantly decreased when the ED pharmacist was involved (24min [IQR 15–35min] versus 42min [IQR 32–59min], p<0.001). Time from order to administration is faster with PCC than FFP. ED pharmacist involvement decreases the time from order to administration of PCC.

Calculating equipotent doses between vasopressor agents is necessary in clinical practice and research pertaining to the management of shock. This scoping review summarizes conversion ratios between vasopressors and provides a formula to incorporate into study designs. Medline, Embase and Web of Science databases were searched from inception to 21st October 2020. Additional papers were obtained through bibliography searches of retrieved articles. Two investigators assessed articles for eligibility. Clinical trials comparing the potency of at least two intravenous vasopressors (norepinephrine, epinephrine, dopamine, phenylephrine, vasopressin, metaraminol or angiotensin II), with regard to an outcome of blood pressure, were selected. Of 16,315 articles, 21 were included for synthesis. The range of conversion ratios equivalent to one unit of norepinephrine were: epinephrine (0.7–1.4), dopamine (75.2–144.4), metaraminol (8.3), phenylephrine (1.1–16.3), vasopressin (0.3–0.4) and angiotensin II (0.07–0.13). The following formula may be considered for the calculation of norepinephrine equivalents (NE) (all in mcg/kg/min, except vasopressin in units/min): NE = norepinephrine + epinephrine + phenylephrine/10 + dopamine/100 + metaraminol/8 + vasopressin*2.5 + angiotensin II*10. A summary of equipotent ratios for common vasopressors used in clinical practice has been provided. Our formula may be considered to calculate NE for studies in the intensive care unit. •Conversion ratios used in norepinephrine equivalents formula are not evidence-based.•This scoping review summarizes equipotent ratios for the most common vasopressors.•A norepinephrine equivalents formula is provided for studies in intensive care.