Using Interdisciplinary Teams to Mitigate the Effects of Drug Shortages in Palliative Care: The Case of Lorazepam Injection.

Given the rising frequency of drug shortages in hospitals, interdisciplinary collaboration is necessary to manage medications, modify electronic medical records, and evaluate safety outcomes. One such shortage impacted lorazepam injection, a medication commonly used in palliative care to treat anxiety, agitation, and seizures. In anticipation of the lorazepam shortage in the summer of 2022, pharmacy staff collaborated with palliative care physicians to identify alternative treatment recommendations when providers were prohibited from ordering lorazepam injection. Before the shortage, lorazepam was used an average of 95 times per month on the palliative care unit. The overall use of benzodiazepines decreased substantially following the recommendation for the therapeutic alternative, midazolam, during the shortage. Once the shortage ended, use roughly returned to pre-shortage baselines. During this time, there were no patient safety events documented on the palliative care unit. Moreover, no changes to the care experience were reported by patients, family/caregivers, providers, or staff. The collaborative effort between pharmacy and palliative care specialists resulted in alternative treatments for palliative care patients during the drug shortage. This preserved the hospital's supply of lorazepam injection for a patient population with no suitable alternatives while still allowing for management of palliative patients.

Polysomnographic identification of anxiety and depression using deep learning.

Anxiety and depression are common psychiatric conditions associated with significant morbidity and healthcare costs. Sleep is an evolutionarily conserved health state. Anxiety and depression have a bidirectional relationship with sleep. This study reports on the use of analysis of polysomnographic data using deep learning methods to detect the presence of anxiety and depression. Polysomnography data on 940 patients performed at an academic sleep center during the 3-year period from 01/01/2016 to 12/31/2018 were identified for analysis. The data were divided into 3 subgroups: 205 patients with Anxiety/Depression, 349 patients with no Anxiety/Depression, and 386 patients with likely Anxiety/Depression. The first two subgroups were used for training and testing of the deep learning algorithm, and the third subgroup was used for external validation of the resulting model. Hypnograms were constructed via automatic sleep staging, with the 12-channel PSG data being transformed into three-channel RGB (red, green, blue channels) images for analysis. Composite patient images were generated and utilized for training the Xception model, which provided a validation set accuracy of 0.9782 on the ninth training epoch. In the independent test set, the model achieved a high accuracy (0.9688), precision (0.9533), recall (0.9630), and F1-score (0.9581). Classification performance of most other mainstream deep learning models was comparable. These findings suggest that machine learning techniques have the potential to accurately detect the presence of anxiety and depression from analysis of sleep study data. Further studies are needed to explore the utility of these techniques in the field of psychiatry.

Comparison of clozapine doses and tolerability in patients with and without concurrent valproic acid.

Introduction: Valproic acid (VPA) and its various formulations can be given in conjunction with clozapine for seizure prophylaxis or for augmentation in schizophrenia. There is conflicting literature on how VPA affects clozapine metabolism and the incidence of clozapine-related side effects. The purpose of this study is to compare the effects of VPA when given concurrently with clozapine to patients on clozapine monotherapy. Methods: A retrospective medical record review was completed to identify patients admitted to the inpatient psychiatry unit at an academic medical center with an order for clozapine with and without concurrent VPA from August 7, 2010 to August 7, 2020. The primary outcome was the difference in clozapine doses in patients on clozapine as monotherapy versus dual therapy with VPA. Secondary outcomes include the difference in incidence of adverse effects in monotherapy versus dual therapy, as well as clozapine and norclozapine concentrations in both treatment groups. Results: During the study period, 73 patients were included in the monotherapy group and 35 patients were included in the dual therapy group. The average clozapine dose in the dual therapy group was 250 mg (95% CI = 194.7, 305.4) which was significantly higher than the average monotherapy dose of 175.9 mg (95% CI = 134.0, 208.7; P = .016). However, there was no significant difference in the average clozapine concentration between the dual therapy group (392.5 ng/mL; 95% CI = 252.8, 532.2) and monotherapy group (365.9 ng/mL; 95% CI = 260.5, 471.3; P = .756). There were higher rates of tachycardia (45.7% vs 17.8%; P = .002), sedation (51.4% vs 8.2%; P < .001), and constipation (42.8% vs 9.5%; P < .001) in the dual therapy group compared to the monotherapy group, respectively. Discussion: Patients on concurrent clozapine and VPA received higher doses of clozapine and experienced a higher incidence of tachycardia, sedation, and constipation.

Tiotropium for adults with inadequately controlled persistent asthma.

OBJECTIVE: To review the literature evaluating the efficacy and steroid-sparing effect of tiotropium for inadequately controlled persistent asthma in adults. DATA SOURCES: Information was obtained through a search of MEDLINE/PubMed (1966-October 2012), using the terms asthma and tiotropium. A further review of reference citations was performed to identify other relevant articles. STUDY SELECTION AND DATA EXTRACTION: English-language case reports and clinical trials were reviewed. Publications evaluating the efficacy and steroid-sparing effect of tiotropium in adults with inadequately controlled persistent asthma were included in the review. One case report and 5 clinical trials met our criteria. DATA SYNTHESIS: The ultimate goal for asthma management is to maintain disease control by preventing acute exacerbations while avoiding adverse medication effects. Inhaled corticosteroids (ICS) are part of all preferred maintenance regimens for persistent asthma. Unfortunately, persistent asthma remains inadequately controlled in some patients and concerns about serious adverse effects with long-term high-dose ICS treatment exist. Interest in the use of tiotropium to control asthma symptoms and reduce steroid requirements in inadequately controlled persistent asthma is emerging. Results of several trials indicate that tiotropium improves pulmonary function markers and reduces corticosteroid requirements. Moreover, the largest and longest published trial not only showed improvements in pulmonary function tests but also a reduction in corticosteroid use and an increase in the time to first exacerbation. CONCLUSIONS: Although tiotropium use in treatment of persistent asthma appears to be promising, more robust clinical trials are needed to assess whether improved pulmonary function tests as well as a decrease in asthma exacerbations and corticosteroid requirements translate into improvements in quality of life. Additionally, the optimal patient population, long-term efficacy, and safety of tiotropium when delivered by various methods need to be determined before it can be recommended over current alternative asthma therapies.