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There are unique challenges associated with the evaluation of faculty in pharmacy departments or divisions that have a mix of non-tenure-track and tenure-track faculty members. Such evaluations are intended to provide feedback on performance and personal growth but have the potential to demotivate faculty and add to existing stress if improperly performed. The purpose of this commentary is to suggest best practices for department chairs involved in performing evaluations of faculty in pharmacy departments or divisions that have a mix of non-tenure-track and tenure-track faculty members. The paper is intended to help ensure these evaluations not only capture the quality and quantity of each faculty member's full range of activities and responsibilities but also are conducted in a supportive and constructive fashion. This commentary is targeted for new department chairs, new faculty members unfamiliar with academic evaluation processes, and departments contemplating changes in their existing evaluation procedures.
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Objective: Describe continuous infusion (CI) ketamine practices in pediatric intensive care units (PICUs) and evaluate its effect on pain/sedation scores, exposure to analgesics/sedatives, and adverse effects (AEs). Methods: Multicenter, retrospective, observational study in children <18 years who received CI ketamine between 2014 and 2017. Time spent in goal pain/sedation score range and daily cumulative doses of analgesics/sedatives were compared from the 24 hours (H) prior to CI ketamine to the first 24H and 25-48H of the CI. Adverse effects were collected over the first 7 days of CI ketamine. Results: Twenty-four patients from 4 PICUs were included; median (IQR) age 7 (1-13.25) years, 54% female (n = 13), 92% intubated (n = 22), 25% on CI vasopressors (n = 6), and 33% on CI paralytics (n = 8). Ketamine indications were analgesia/sedation (n = 21, 87.5%) and status epilepticus (n = 3, 12.5%). Median starting dose was 0.5 (0.48-0.70) mg/kg/hr and continued for a median of 2.4 (1.3-4.4) days. There was a significant difference in mean proportion of time spent within goal pain score range (24H prior: 74% ± 14%, 0-24H: 85% ± 10%, and 25-48H: 72% ± 20%; p=0.014). A significant reduction in median morphine milligram equivalents (MME) was seen (24H prior: 58 (8-195) mg vs. 0-24H: 4 (0-69) mg and p=0.01), but this was not sustained (25-48H: 24 (2-246) mg and p=0.29). Common AEs were tachycardia (63%), hypotension (54%), secretions/suctioning (29%), and emergence reactions (13%). Conclusions: Ketamine CI improved time in goal pain score range and significantly reduced MME, but this was not sustained. Larger prospective studies are needed in the pediatric population.
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DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: The purpose of this article is to discuss how the structural and presumably functional integrity of albumin, as described by the concept of effective albumin concentration (eAlb), has potentially important clinical implications beyond the total albumin concentration (tAlb) routinely reported by clinical laboratories. SUMMARY: Albumin has several functions beyond its oncotic effects, including molecule binding, substance transport, detoxification actions, and serving as an antioxidant. However, there are conformational changes that occur during or following the manufacture of albumin and during its administration to patients with various disease states, such as decompensated liver disease, that often impair these functions. Such impairments are not reflected in tAlb values reported by clinical laboratories and might explain the disconnect often seen between albumin's proposed beneficial mechanistic functions and its less-than-predicted clinical effectiveness as noted in published studies. The concept of eAlb has been introduced to describe albumin with structural and functional integrity. Limited studies have found associations between eAlb values and patient prognostic indicators, but the techniques used to decide these effective concentrations to date are complicated and require specialized equipment and experienced researchers for proper interpretation. CONCLUSION: Estimation of eAlb may provide valuable information on the functional ability of albumin beyond the tAlb reported by clinical laboratories, but more research is needed to decide how this information is best used in the clinical setting.
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DISCLAIMER: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. PURPOSE: To demonstrate the challenges with current diagnosis and treatment strategies for precipitated opioid withdrawal secondary to naloxone the emergency department (ED) setting and describe the role of the emergency medicine (EM) pharmacist in its management. SUMMARY: There are no standardized criteria to define precipitated opioid withdrawal syndrome, so the diagnosis is typically based on sentinel signs and symptoms and time course. Complicating factors include a positive urine toxicology screen for nonopioid substances, comorbidities and associated medications prior to admission, medications given in the ED, and a fluctuating patient course during the ED stay that likely involves all these issues. Although buprenorphine is frequently recommended as the primary treatment for precipitated withdrawal, its use can be complicated if patients are on methadone maintenance or other long-acting opioids. The EM pharmacist plays a key role in managing patients with precipitated withdrawal. CONCLUSION: Practice changes related to the diagnosis and treatment of opioid use disorder (OUD) with precipitated withdrawal in the ED are needed. EM pharmacists as part of the interprofessional care team have an important role in the management of patients with OUD, including those patients undergoing possible precipitated withdrawal.
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OBJECTIVE: The purpose of this scoping review was to evaluate literature involving opioid-sparing medications in critically ill patients with a focus on clinically meaningful outcomes. DESIGN: Scoping review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. SETTING: Intensive care unit. PATIENTS OR PARTICIPANTS: Adult patients in an intensive care unit setting. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: PubMed and Cochrane Library were searched from October 1, 2019 to June 1, 2023. Inclusion criteria consisted of randomized controlled trials evaluating adjunctive analgesic use in adult patients in an intensive care unit setting. RESULTS: There were 343 citations and titles identified in the initial search, with 328 remaining after removal of duplicates, 294 excluded at title and abstract screening, 34 available for full text review, and six included in the scoping review. Most studies reported modest reductions in opioid use as a secondary endpoint. Improvement in clinical outcomes such as reduction in duration of mechanical ventilation or delirium were reported in two trials with dexmedetomidine. CONCLUSIONS: In recently published trials of adjunctive agents in critically ill patients, opioid-sparing effects were small. Data to support improvements in clinical outcomes remains limited.
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INTRODUCTION: We evaluated the comparative efficacy of 6 later-line (≥3) therapies for metastatic colorectal cancer (mCRC) over placebo. We applied a novel statistical method of reconstructing pseudo patient-level data (pseudo-IPD) to inform a network meta-analysis of survival curves that considers shape in addition to scale parameters. METHODS: A literature search yielded 10 phase II/III trials. We digitized all survival curves and applied a novel method incorporating curve coordinates, patients-at-risk, and events reported to generate pseudo-IPD. Using fitted random effects lognormal distributions, we estimated the survival proportions and HRs(95CrI) of progression-free (PFS) and overall survival(OS) over 12 months of follow-up. RESULTS: Compared to placebo, in ascending order, 12-month OS HRs were 0.50(95%CrI = 0.35, 0.69; PFS = 0.11(95%CrI = 0.06, 0.14)) for TAS+bevacizumab; 0.71(95%CrI = 0.51, 0.97; PFS = 0.26(95%CrI = 0.16, 0.41)) for regorafenib; 0.75(95%CrI = 0.61, 0.91; (PFS = 0.24(95%CrI = 0.17, 0.31)) for TAS-102; 0.80(95%CrI = 0.79, 0.90; PFS = 0.18(95%CrI = 0.13, 0.24)) for fruquintinib; 0.83(95%CrI = 0.50, 0.99; PFS = 0.42(95%CrI = 0.20, 0.75)) for atezolizumab+cobimetinib; and 1.03(95%CrI = 0.55, 1.65; PFS = 0.67(95%CrI = 0.29, 1.01)) for atezolizumab. CONCLUSION: In this independent NMA of survival data all later-line mCRC therapies but atezolizumab monotherapy exhibited superiority in 12-month PFS and OS over placebo. TAS+bevacizumab emerged as the most dominant option and may be the preferred choice; with fruquintinib, regorafenib and TAS-102 monotherapy showing statistically significant but lower PFS and OS benefits. REGISTRATION: PROSPERO: CRD42022371953.
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The removal of the X-waiver in the Mainstreaming Addiction Treatment (MAT) Act of 2023 has substantial implications for buprenorphine prescribing as one of the options to treat opioid use disorder. The purpose of this commentary is to discuss the unanswered questions regarding buprenorphine in the intensive care unit (ICU) including how the passage of the MAT Act will affect ICU providers, which patients should receive buprenorphine, what is the most appropriate route of administration and dose of buprenorphine, what medications interact with buprenorphine, and how can transitions of care be optimized for these patients.
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BACKGROUND: The potential uses of artificial intelligence have extended into the fields of healthcare delivery and education. However, challenges are associated with introducing innovative technologies into healthcare, particularly with respect to information quality. OBJECTIVE: To evaluate the accuracy of answers provided by a chatbot in response to questions that patients should ask before taking a new medication. METHODS: Twelve questions obtained from the Agency for Healthcare Research and Quality were asked to a chatbot for the top 20 drugs. Two reviewers independently evaluated and rated each response on a 6-point scale for accuracy and a 3-point scale for completeness with a score of 2 considered adequate. Accuracy was determined using clinical expertise and a drug information database. After the independent reviews, answers were compared, and discrepancies were assigned a consensus score. RESULTS: Out of 240 responses, 222 (92.5%) were assessed as completely accurate. Of the inaccurate responses, 10 (4.2%) were mostly accurate, 5 (2.1%) more accurate than inaccurate, 2 (0.8%) were equal parts accurate and inaccurate, and 1(0.4%) was more inaccurate than accurate. Of the 240 responses, 194 (80.8%) were comprehensively complete. There were 235 (97.9%) responses that scored 2 or higher. Five responses (2.1%) were considered incomplete. CONCLUSION: Utilizing a chatbot to answer questions commonly asked by patients is mostly accurate but may include inaccurate information or lack valuable information for patients.
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OBJECTIVE: To describe an evaluation of a generative language model tool to write examination questions for a new elective course focused on the interpretation of common clinical laboratory results being developed as an elective for students in a Bachelor of Science in Pharmaceutical Sciences program. METHODS: A total of 100 multiple-choice questions were generated using a publicly available large language model for a course dealing with common laboratory values. Two independent evaluators with extensive training and experience in writing multiple-choice questions evaluated each question for appropriate formatting, clarity, correctness, relevancy, and difficulty. For each question, a final dichotomous judgment was assigned by each reviewer, usable as written or not usable written. RESULTS: The major finding of this study was that a generative language model (ChatGPT 3.5) could generate multiple-choice questions for assessing common laboratory value information but only about half the questions (50% and 57% for the 2 evaluators) were deemed usable without modification. General agreement between evaluator comments was common (62% of comments) with more than 1 correct answer being the most common reason for commenting on the lack of usability (N = 27). CONCLUSION: The generally positive findings of this study suggest that the use of a generative language model tool for developing examination questions is deserving of further investigation.