Benzodiazepine Medication Research Articles

Efficiency and safety of high-dose undiluted intravenous push levetiracetam loading doses compared to intravenous infusion in seizing patients: A retrospective cohort study.

Intravenous (IV) push (IVP) is an alternative administration method for levetiracetam, but evidence evaluating it compared to IV piggyback (IVPB) for loading doses in acutely seizing patients is limited, particularly in patients with status epilepticus (SE). This study aimed to compare the efficiency and safety of IVP versus IVPB levetiracetam loading doses. This was a single-center sequential retrospective study conducted in adult (≥18 years) patients who received an IV levetiracetam loading dose (>2000 mg or ≥20 mg/kg) for acute or suspected seizure. The primary outcome was time to administration, compared between doses given as IVP versus IVPB. Secondary outcomes included rates of adverse events (AEs), rescue benzodiazepine or antiseizure medication administration, intubation, and intensive care unit (ICU) admission between groups. A total of 246 patients were included; 116 received IVP and 130 received IVPB loading doses. Median age was 56 years; most patients were male (62%) and White (60%) and had witnessed seizures (67%). Doses were administered for SE in 32 (27.5%) and 46 (35.4%) patients in the IVP and IVPB arms, respectively. Median time to administration was shorter in the IVP group (12 vs. 38 min, p < .001). Bradycardia (1.7% vs. 2.3%, p = .99), hypotension (7.8% vs. 12%, p = .30), sedation (6% vs. 12.3%, p = .09), intubation (10% vs. 8%, p = .37), ICU admission (32% vs. 39%, p = .31), and rescue medication administration (8.6% vs. 14.6% p = .10) were similar between groups. In SE patients, IVP was associated with shorter time to administration (12 vs. 44 min, p = .003) and lower odds of ICU admission after adjustment for age, dose, Status Epilepticus Severity Score, and seizure history (adjusted odds ratio = .23, 95% confidence interval = .06-.81). IVP reduced time to levetiracetam administration versus IVPB and was not associated with more AEs. Rescue agent use, intubation, and ICU admission were similar between arms, but IVP may reduce ICU admissions in SE patients. Prospective studies should assess the effectiveness of IVP versus IVPB.

Disease Phenotypes in Refractory Musculoskeletal Pain Syndromes Identified by Unsupervised Machine Learning.

Overlapping chronic pain syndromes, including fibromyalgia, are heterogeneous and often treatment-resistant entities carrying significant socioeconomic burdens. Individualized treatment approaches from both a somatic and psychological side are necessary to improve patient care. The objective of this study was to identify and visualize patient clusters in refractory musculoskeletal pain syndromes through an extensive set of clinical variables, including immunologic, psychosomatic, wearable, and sleep biomarkers. Data were collected during a multimodal pain program involving 202 patients. Seventy-eight percent of the patients fulfilled the criteria for fibromyalgia, 77% had a concomitant psychiatric-mediated disorder, and 22% a concomitant rheumatic immune-mediated disorder. Five patient phenotypes were identified by hierarchical agglomerative clustering as a form of unsupervised learning, and a predictive model for the Brief Pain Inventory (BPI) response was generated. Based on the clustering data, digital personas were created with DALL-E (OpenAI). The most relevant distinguishing factors among clusters were living alone, body mass index, peripheral joint pain, alexithymia, psychiatric comorbidity, childhood pain, neuroleptic or benzodiazepine medication, and response to virtual reality. Having an immune-mediated disorder was not discriminatory. Three of five clusters responded to the multimodal treatment in terms of pain (BPI intensity), one cluster responded in terms of functional improvement (BPI interference), and one cluster notably responded to the virtual reality intervention. The independent predictive model confirmed strong opioids, trazodone, neuroleptic treatment, and living alone as the most important negative predictive factors for reduced pain after the program. Our model identified and visualized clinically relevant chronic musculoskeletal pain subtypes and predicted their response to multimodal treatment. Such digital personas and avatars may play a future role in the design of personalized therapeutic modalities and clinical trials.

W58 - Benzodiazepine, Z-Drug, and Sleep Medication Prescriptions in Male and Female People With Opioid Use Disorder and Comorbid Insomnia: An Analysis of Multi-State Insurance Claims

W58 - Benzodiazepine, Z-Drug, and Sleep Medication Prescriptions in Male and Female People With Opioid Use Disorder and Comorbid Insomnia: An Analysis of Multi-State Insurance Claims

Epidemiology of back pain visits and medication usage among United States emergency departments from 2016 to 2023

IntroductionLow back pain is a common reason for presentation to the Emergency Department (ED). However, there are limited large-scale, recent data on the epidemiology, disposition, and medication administration for this condition. The objective of this was to assess the incidence, admission rates, medication administrations, and discharge prescriptions among ED visits for low back pain in the United States. MethodsThis was a cross-sectional study of ED presentations for low back pain from 1/1/2016 to 12/31/2023 using the Epic Cosmos database. All ED visits for adults with low back pain identified by ICD-10 codes were included. Outcomes included admission rates, distribution of opioid, benzodiazepine, (non-benzodiazepine) muscle relaxant, acetaminophen, NSAID, and corticosteroid medications administered in the ED, and distribution of opioid, benzodiazepine, muscle relaxant, and corticosteroid medications given upon discharge. Subgroup analyses were performed by specific medication. ResultsOf 207,154,419 ED encounters, 12,241,240 (5.9%) were due to back pain with 1,957,299 of these (16.0%) admitted. The admission rate increased over time from 12.8% to 17.1%. The most common medication given in the ED was opioids (40.7%), followed by acetaminophen (37.8%), NSAIDs (22.6%), muscle relaxants (18.4%) benzodiazepines (12.8%), and corticosteroids (5.5%). The most common medications prescribed upon discharge were muscle relaxants (32.1%), followed by opioids (23.2%), corticosteroids (12.2%), and benzodiazepines (3.0%). ConclusionLow back pain represents a common reason for presentation to the ED, and admissions have been increasing over time. Opioids remain the most common ED medication, whereas muscle relaxants have arisen as the most common discharge prescription. These findings can help inform health policy decisions, resource allocation, and evidence-based interventions for medication administration.

Neuropsychiatric Comorbidities and Psychotropic Medication Use in Medicare Beneficiaries With Dementia by Sex and Race.

Neuropsychiatric symptoms affect the majority of dementia patients. Past studies report high rates of potentially inappropriate prescribing of psychotropic medications in this population. We investigate differences in neuropsychiatric diagnoses and psychotropic medication prescribing in a local US cohort by sex and race. We utilize Medicare claims and prescription fill records in a cohort of 100% Medicare North and South Carolina beneficiaries ages 50 and above for the year 2017 with a dementia diagnosis. We identify dementia and quantify diagnosis of anxiety, depression and psychosis using validated coding algorithms. We search Medicare claims for antianxiety, antidepressant and antipsychotic medications to determine prescriptions filled. Anxiety and depression were diagnosed at higher rates in White patients; psychosis at higher rates in Black patients. (P < .001) Females were diagnosed with anxiety, depression and psychosis at higher rates than males (P < .001) and filled more antianxiety and antidepressant medications than males. (P < .001) Black and Other race patients filled more antipsychotic medications for anxiety, depression and psychosis than White patients. (P < .001) Antidepressants were prescribed at higher rates than antianxiety or antipsychotic medications across all patients and diagnoses. Of patients with no neuropsychiatric diagnosis, 11.4% were prescribed an antianxiety medication, 22.8% prescribed an antidepressant and 7.6% prescribed an antipsychotic. The high fill rate of antianxiety (benzodiazepine) medications in dementia patients, especially females is a concern. Patients are prescribed psychotropic medications at high rates. This practice may represent potentially inappropriate prescribing. Patient/caregiver education with innovative community outreach and care delivery models may help decrease medication use.

The associations of opioid and benzodiazepine prescriptions with injuries among US military service members.

Given the high rates of physical trauma and pain among service members, opioid-prescribing practices and use patterns have significant implications for the well-being of service members and can affect military medicine and personnel readiness. This study measured the association between prescribed opioid and benzodiazepine medications and subsequently reported injuries (accidental, alcohol and drug related, self-inflicted, and violence related) among active duty military members. Participants were service members who entered the military between January 1, 2005, and June 30, 2010. In a nested case-control design, we compared individuals with injuries to individuals without injuries with respect to their opioid and benzodiazepine prescriptions in the 30 days before the injury of an index case. We used a multiintercept, logistic regression model to compare coefficient estimates by injury type. Overall, approximately 17% of individuals with an injury and 4% of individuals without an injury had a recorded opioid prescription. Individuals with an injury of any type had greater odds of prior exposure to opioid prescriptions than controls. Although a dose-response effect was observed for all injury types, it reached a plateau sooner for natural or environmental accidents and self-inflicted injuries relative to alcohol-related and drug-related injuries, violence-related injuries, vehicle accidents, accidental falls, and other accidents. Benzodiazepine prescriptions were found in 3.5% of individuals with an injury and 0.5% of individuals without an injury. The association between benzodiazepine prescriptions and injuries was strongest for natural and environmental accidents.

Fewer emergency department alarms is associated with reduced use of medications for acute agitation

Background and objectivesPatient monitoring systems provide critical information but often produce loud, frequent alarms that worsen patient agitation and stress. This may increase the use of physical and chemical restraints with implications for patient morbidity and autonomy. This study analyzes how augmenting alarm thresholds affects the proportion of alarm-free time and the frequency of medications administered to treat acute agitation. MethodsOur emergency department's patient monitoring system was modified on June 28, 2022 to increase the tachycardia alarm threshold from 130 to 150 and to remove alarm sounds for several arrhythmias, including bigeminy and premature ventricular beats. A pre-post study was performed lasting 55 days before and 55 days after this intervention. The primary outcome was change in number of daily patient alarms. The secondary outcomes were alarm-free time per day and median number of antipsychotic and benzodiazepine medications administered per day. The safety outcome was the median number of patients transferred daily to the resuscitation area. We used quantile regression to compare outcomes between the pre- and post-intervention period and linear regression to correlate alarm-free time with the number of sedating medications administered. ResultsBetween the pre- and post-intervention period, the median number of alarms per day decreased from 1332 to 845 (−37%). This was primarily driven by reduced low-priority arrhythmia alarms from 262 to 21 (−92%), while the median daily census was unchanged (33 vs 32). Median hours per day free from alarms increased from 1.0 to 2.4 (difference 1.4, 95% CI 0.8–2.1). The median number of sedating medications administered per day decreased from 14 to 10 (difference − 4, 95% CI −1 to −7) while the number of escalations in level of care to our resuscitation care area did not change significantly. Multivariable linear regression showed a 60-min increase of alarm-free time per day was associated with 0.8 (95% CI 0.1–1.4) fewer administrations of sedating medication while an additional patient on the behavioral health census was associated with 0.5 (95% CI 0.0–1.1) more administrations of sedating medication. ConclusionA reasonable change in alarm parameter settings may increase the time patients and healthcare workers spend in the emergency department without alarm noise, which in this study was associated with fewer doses of sedating medications administered.

Value of Flemish Version of the Triage Risk Screening Tool in Predicting Unfavorable Outcomes after Elective Cancer Surgery: A Propensity Score-Matched Retrospective Cohort Study

Introduction: The Flemish version of the Triage Risk Screening Tool (fTRST), derived from the Triage Risk Screening Tool for assessing risk of readmission to the emergency department, is increasingly used as a simple screening tool in oncology. This study aimed to evaluate the utility of the fTRST in the context of elective surgical treatment for urologic cancer patients. Methods: We included 886 patients who underwent major urologic cancer surgery at our institution between 2020 and 2022 and underwent preoperative screening, including fTRST. We set the fTRST cutoff at 2 and used propensity score matching and multivariate regression analysis to assess how fTRST affected two postoperative outcomes: ambulation failure and delirium. Results: Of the 886 patients, 693 (78%) had an fTRST score <2, and 193 (22%) had an fTRST score ≥2 (high likelihood of frailty). After matching the groups by propensity scores, we compared the outcomes of 131 patients in each group. We found that the group with fTRST ≥2 had significantly higher rates of ambulation failure (15 vs. 11%, p = 0.03) and delirium (16 vs. 11%, p = 0.008) than the group with fTRST <2. Multivariate logistic regression analysis showed that fTRST score ≥2 was an independent risk factor for postoperative ambulation failure (odds ratio [OR] = 4.05, p = 0.02), along with age ≥75 years (OR = 6.62, p = 0.02), preoperative benzodiazepine medications (OR = 5.12, p = 0.01), and receiving radical cystectomy (OR = 9.30, p = 0.02). Similarly, for delirium, fTRST score ≥2 was an independent risk factor (OR = 2.88, p = 0.03), along with preoperative benzodiazepine medications (OR = 4.38, p = 0.002). Conclusion: The fTRST might be a screening tool with great potential for identifying patients at high risk for unfavorable postoperative outcomes in elective urologic cancer surgery.

Benzodiazepine use in medical cannabis authorization adult patients from 2013 to 2021: Alberta, Canada

BackgroundBenzodiazepines are a class of medications that are being frequently prescribed in Canada but carry significant risk of harm. There has been increasing clinical interest on the potential “sparing effects” of medical cannabis as one strategy to reduce benzodiazepine use. The objective of this study as to examine the association of medical cannabis authorization with benzodiazepine usage between 2013 and 2021 in Alberta, Canada.MethodsA propensity score matched cohort study with patients on regular benzodiazepine treatment authorized to use medical cannabis compared to controls who do not have authorization for medical cannabis. A total of 9690 medically authorized cannabis patients were matched to controls. To assess the effect of medical cannabis use on daily average diazepam equivalence (DDE), interrupted time series (ITS) analysis was used to assess the change in the trend of DDE in the 12 months before and 12 months after the authorization of medical cannabis.ResultsOver the follow-up period after medical cannabis authorization, there was no overall change in the DDE use in authorized medical cannabis patients compared to matched controls (− 0.08 DDE, 95% CI: − 0.41 to 0.24). Likewise, the sensitivity analysis showed that, among patients consuming ≤5 mg baseline DDE, there was no change immediately after medical cannabis authorization compared to controls (level change, − 0.04 DDE, 95% CI: − 0.12 to 0.03) per patient as well as in the month-to-month trend change (0.002 DDE, 95% CI: − 0.009 to 0.12) per patient was noted.ConclusionsThis short-term study found that medical cannabis authorization had minimal effects on benzodiazepine use. Our findings may contribute ongoing evidence for clinicians regarding the potential impact of medical cannabis to reduce benzodiazepine use.Highlights• Medical cannabis authorization had little to no effect on benzodiazepine usage among patients prescribed regular benzodiazepine treatment in Alberta, Canada.• Further clinical research is needed to investigate the potential impact of medical cannabis as an alternative to benzodiazepine medication.

(127) Sexual Health Implications Associated with Psychotropic Medication Use Among Adolescents During the COVID-19 Pandemic

Abstract Introduction The use of psychotropic medications has a notable effect on sexual well-being. Prolonged use is closely linked to dyspareunia, reduced sexual desire, hypogonadism, and erectile dysfunction. We hypothesized that there was an increase in the prescription rates of psychotropic medications among adolescent patients during the COVID-19 pandemic due to the unprecedented stress experienced by isolated youth. Objective We examined the prescription rates of psychotropic medications and the simultaneous usage of PDE5 inhibitors in adolescent patients during the COVID-19 pandemic in order to compare usage of these medications prior to the pandemic. Methods To conduct our retrospective matched cohort study, we utilized data obtained from the TriNetX Research Network. The study focused on adolescent patients aged 10-19 presenting for outpatient evaluation, and were placed into two cohorts: 1) those evaluated before the COVID-19 pandemic, and 2) those evaluated during the pandemic. Patients with previous psychiatric diagnoses or prior use of psychotropic medications were excluded from the study. Our primary interest was to examine new prescription patterns within 90 days of the outpatient evaluation. To ensure balanced cohorts, propensity score matching was conducted using logistic regression, resulting in cohorts of equal size. Results A total of 1,612,283 adolescents pre-COVID-19 and 1,008,161 adolescents presenting during the COVID-19 pandemic for outpatient evaluations were identified. After propensity matching, a total of 1,005,408 adolescents were included in each cohort each with an average age of 14.7 ± 2.84 and 52% female and 48% male. Prescribing of antipsychotics and benzodiazepines were more frequent during the pandemic for adolescents (RR: 1.58, 95% CI 1.01-2.2). However, they were less likely to receive antidepressants (Risk Ratio (RR): 0.6, 95% Confidence Interval (CI) 0.57-0.63), anxiolytics (RR: 0.78, 95% CI 0.75-0.81), stimulants (RR: 0.26, 95% CI 0.25-0.27), as well as mood stabilizers (RR: 0.44, 95% CI 0.39-0.49). Erectile dysfunction requiring oral PDE5i in this cohort was more frequent during the pandemic for adolescents (RR: 1.53, 95% CI 1.05-2.01). Conclusions During the global COVID-19 pandemic, there was a notable rise in the prescription rates of antipsychotic and benzodiazepine medications compared to previous years. Interestingly, this increase aligned with a statistically significant rise in the prescription of PDE5 inhibitors (PDE5i) for treating erectile dysfunction. These findings indicate that clinicians need to be aware of the potential increased risk of medication-related sexual dysfunction among adolescents. Disclosure Yes, this is sponsored by industry/sponsor: NIH health grant RO1 DK130991 and Clinician Scientist Development Grant from the American Cancer Society. Clarification: Industry funding only - investigator initiated and executed study.

Intracerebral electrographic activity following a single dose of diazepam nasal spray: A pilot study.

Rescue benzodiazepine medication can be used to treat seizure clusters, which are intermittent, stereotypic episodes of frequent seizure activity that are distinct from a patient's usual seizure pattern. The NeuroPace RNS® System is a device that detects abnormal electrographic activity through intracranial electrodes and administers electrical stimulation to control seizures. Reductions in electrographic activity over days to weeks have been associated with the longer-term efficacy of daily antiseizure medications (ASMs). In this pilot study, electrographic activity over hours to days was examined to assess the impact of a single dose of a proven rescue therapy (diazepam nasal spray) with a rapid onset of action. Adult volunteers (>18 years old) with clinically indicated RNS (stable settings and ASM usage) received a weight-based dose of diazepam nasal spray in the absence of a clinical seizure. Descriptive statistics for a number of detections and a sum of durations of detections at 10-min, hourly, and 24-h intervals during the 7-day (predose) baseline period were calculated. Post-dose detections at each time interval were compared with the respective baseline-detection intervals using a 1 SD threshold. The number of long episodes that occurred after dosing also were compared with the baseline. Five participants were enrolled, and four completed the study; the excluded participant had recurrent seizures during the study. There were no consistent changes (difference >1 SD) in detections between post-dose and mean baseline values. Although variability was high (1 SD was often near or exceeded the mean), three participants showed possible trends for reductions in one or more electrographic variables following treatment. RNS-assessed electrographic detections and durations were not shown to be sensitive measures of short-term effects associated with a single dose of rescue medication in this small group of participants. The variability of detections may have masked a measurable drug effect. Rescue drugs are used to treat seizure clusters. Responsive neurostimulation (RNS) devices detect and record epilepsy brain waves and then send a pulse to help stop seizures. This pilot study looked at whether one dose of a rescue treatment changes brain activity detected by RNS. There was a very wide range of detections, which made it difficult to see if or how the drug changed brain activity. New studies should look at other types of brain activity, multiple doses, and larger patient groups.

Neuropsychiatric co‐morbidities and psychotropic medication use in Medicare beneficiaries with dementia

AbstractBackgroundNeuropsychiatric symptoms affect approximately 97% of patients with dementia. Prevalence of symptoms may be different dependent upon age, sex or race. Past studies report high rates of potentially inappropriate prescribing in the dementia population. We investigate differences in neuropsychiatric diagnoses and psychotropic medication prescribing in a local US cohort.MethodWe utilize Medicare claims and Medicare Part D prescription fill records in a cohort of 100% Medicare North and South Carolina fee‐for‐service beneficiaries ages 50 and above for the year 2017 with a dementia diagnosis. We identify dementia based on an ICD‐10‐CM diagnosis of dementia from an inpatient, outpatient, carrier, skilled nursing facility or home health claim, or a prescription claim for drug treatment between 1/1/2017 and 12/31/2017. We quantified neuropsychiatric diagnosis of anxiety, depression and psychosis using validated coding algorithms, searching inpatient, outpatient and physician 2017 claims. Demographic characteristics, including age, sex and race, as well as dual Medicare/Medicaid status were collected from the MSBF file for each individual. We search generic medication names in Medicare Part D claims for anti‐anxiety, antidepressant and antipsychotic medications to determine prescriptions filled during 2017.ResultProviders diagnosed anxiety and depression at higher rates in White patients; and psychosis at higher rates in Black patients. (P&lt;0.001) Providers diagnosed female patients with depression, anxiety and psychosis at higher rates than males. (P&lt;0.001) A provider diagnosis of anxiety, depression or psychosis is most prevalent in the age group 50‐59 and decreases with age to age 90+. Females with anxiety, depression and psychosis filled more anti‐anxiety and antidepressant medications than males. (P&lt;0.001) Black and Other race patients filled more antipsychotic medications for anxiety and depression than White patients. (P&lt;0.001)ConclusionOf concern is the high fill rate of anti‐anxiety (benzodiazepine) medications, especially in females. In patients with a neuropsychiatric diagnosis, consistently over half filled an antidepressant medication and over a quarter filled prescriptions for antipsychotics. These medications may have risks &gt; benefits in this population and lack efficacy. As alternatives, non‐pharmacologic treatment with patient/caregiver education about expectations and psychosocial interventions show promise. Innovative community outreach and care delivery models incorporating these methods may help decrease levels of medication use.

Opioid and benzodiazepine utilization patterns in metropolitan and rural Texas.

Although many drugs are implicated in the crisis, opioids and concomitant sedatives are associated with increased overdose risk in both rural and urban communities. Individuals in rural areas are up to 5-fold more likely to experience adverse outcomes related to opioids. The primary objective of this study was to evaluate concomitant use of opioid and benzodiazepine prescriptions in Texas, compare metropolitan and rural differences, and use these data to inform clinicians and to help develop harm reduction strategies. Prescribing data were extracted from the Texas Prescription Drug Monitoring Program (PDMP) public use data file, the statewide monitoring program administered by the Texas State Board of Pharmacy. An overlapping drug combination prescription day was defined as any day in which a patient had at least one of the overlapping drug types-eg, opioid + benzodiazepine, opioid + benzodiazepine + carisoprodol. In Texas, 47.4 percent of the counties with the highest number of overlapping days (per patient) bordered other states. Providers who practice in rural areas prescribe opioid and benzodiazepine medications with 8.2 more overlapping days per quarter. Taking both opioid and benzodiazepine prescriptions is associated with increased overdose risk. Opioid prescription data provide a distinct view into the opioid epidemic that allows all states and counties to view the trends of opioid utilization. There are only a few studies using PDMP data to compare urban and rural trends. Rural patients had more benzodiazepine and opioid days overlap than urban patients. The prevalence is higher among older adults and providers who practice in rural areas (average 8.2 more days per quarter). Our findings in Texas indicate a trend downward in overlap for both rural and urban areas over the last year of measurement. However, rural areas are still significantly higher.

The Impact of Standardized Recovery Pathways on Language Barriers and Inpatient Pain Management.

Inpatient postoperative care is reliant upon clear, open communication between providers and patient-families, and thus is particularly vulnerable to disparities when discordant languages exist. It is not yet understood how standardized postoperative protocols may mitigate disparities related to language discordance. This is a retrospective cohort study among adolescent idiopathic scoliosis patients who underwent posterior spinal fusion at a tertiary care children's hospital in Bronx, New York after implementation of a postoperative pathway in 2017. Outcomes reliant upon communication between patient-families and providers were measured, including measures of pain management (number and type of pain medications requested, daily pain assessments, total opioids consumed), as well as outpatient pain scores. A total of 160 patients were included (39 language other than English [LOE]). Between patient cohorts, there were no significant differences in demographic or operative characteristics. On univariate analyses, LOE patients were more likely to be given a basal dosing of patient-controlled analgesia or additional boluses (26% vs 12%, P = .03), consumed 0.53 fewer benzodiazepine medications per day (P = .01), and were more likely to have pain at outpatient follow-up (67% vs 43%, P = .03). On multivariate analyses, LOE patients were more likely to be placed on basally dosed or receive additional boluses of patient-controlled analgesia (odds ratio 3.19, 95% confidence interval 1.15-8.85). As standardized pathways become more common in health care, it is critical to monitor for components of these protocols that may be vulnerable to language-related disparities, such as therapies reliant on symptom description and outpatient follow-up.

Comparative analysis of the anti-depression effects of lorazepam, acupuncture, and curcumin utilizing the forced swimming test in experimental rats models

Introductionlorazepam is one of benzodiazepine medication that is usually used for its sedative and anxiolytic effect and has anti-depressant like effects. Turmeric is a plant that contain curcumin as main active compound that exert its antidepressant action inhibit monoamine oxidase and increase levels of dopamine and serotonin in brain. Aimthe present study investigate the depression effect of curcumin (natural selective serotonin inhibitors) in comparison with acupuncture and lorazepam. Method32 adult rats weighing (150 g−280 g) were divided equally into 8 groups each group contain 4 rats. The first 3 group of rats were treated with lorazepam, mixture of (curcumin, black pepper and olive oil) and pricked with insulin needle at point gb39, respectively, while second 4 groups of rats were received lorazepam and mixture, lorazepam and acupuncture, mixture and acupuncture, and lorazepam, mixture and acupuncture, separately, and the eighth group is control group don't receive any drugs. After 35 days, forced swimming test was made for all rats. ResultsLiver parameters: - GOT increased in all group, GPT increased in rat's group that received lorazepam, mixture group and lorazepam+ mixture group, This indicates the existence of problems previously with the liver of the rat used, and what remains is the high levels of GOT and GPT in the control group, while TSB is within the normal range for all groups. Kidney parameters:-blood urea levels increased in all groups and S. creatinine levels within normal range for all groups. Conclusionthe evaluation of natural SERMs in the forced swimming test showed promising antidepressant-like effects, comparable to lorazepam and acupuncture. Further research is needed to understand the mechanisms and determine optimal dosage and safety. Natural selective serotonin inhibitors hold potential as alternative or complementary treatments for depression.

Early effects predict trajectories of response to esketamine in treatment-resistant depression

BackgroundThe efficacy of esketamine in treatment-resistant depression (TRD) has been confirmed. However, its administration is expensive and restrictive, with limited knowledge on how long the treatment should be continued. Predicting the treatment outcome would benefit patients and alleviate the global treatment cost. We aimed to define distinct trajectories of treatment response and assess their predictability. MethodsIn this longitudinal study, two independent samples of patients with unipolar or bipolar TRD were treated with esketamine in real-world settings. Depression severity was assessed using the Montgomery-Åsberg Depression Rating Scale (MADRS) before each esketamine administration. Latent class analyses were used to define trajectories of response. ResultsIn the original sample (N = 50), we identified two classes whose trajectories depicted response and non-response, respectively. The model was validated in the confirmatory sample (N = 55). Class membership was influenced by a few baseline characteristics such as concomitant benzodiazepine medication, number of depressive episodes or polarity. On the other hand, after only two esketamine administrations, the MADRS score predicted the 90-day trajectory of response with an accuracy of 80 %. LimitationsThis observational study is not placebo-controlled. Therefore, its results and their generalizability need to be confirmed in experimental settings. ConclusionsAfter the first administrations of esketamine, the MADRS score has a good capacity to predict the most plausible trajectory of response. While thresholds and their predictive values need to be confirmed, this finding suggests that clinicians could base on MADRS scores their decision to discontinue treatment because of poor remaining chances of treatment response.

Factors Associated With Benzodiazepine and Antipsychotic Prescribing in Hospice: A Qualitative Study of Hospice Prescribers.

Benzodiazepine and antipsychotic medications are common components of the hospice toolkit and are routinely prescribed for behavioral symptom management at end of life. These medications have significant associated risks but, despite their frequent use, little is known about how clinicians weigh prescribing decisions for individuals in hospice. In this qualitative study, we examined the key factors that influence the decision to initiate a benzodiazepine and antipsychotic medication for management of behavioral symptoms at end of life. A qualitative study using semi-structured interviews and descriptive qualitative analysis. We conducted semi-structured interviews with prescribing hospice physicians and nurse practitioners working in hospice settings across the United States. Hospice clinicians were asked to describe factors that influence prescribing decisions to initiate benzodiazepine and antipsychotic medications for the management of behavioral symptoms. Data from audio-recorded sessions were transcribed, coded to identify relevant concepts, and reduced to determine major themes. We completed 23 interviews with hospice physicians and nurse practitioners. On average, participants had worked in a hospice setting for a mean of 14.3years (SD: 10.9); 39% had geriatrics training. Major themes related to benzodiazepine and antipsychotic prescribing were (1) caregiving factors strongly influence the use of medications, (2) patient and caregiver stigma and concerns regarding medication use limit prescribing, (3) medications are initiated to avoid hospitalization or transition to a higher level of care, and (4) nursing home hospice care brings unique challenges. Caregiver factors and the setting of hospice care strongly influence clinician decisions to initiate benzodiazepines and antipsychotics in hospice. Caregiver education about medication use at end of life and support in managing challenging behaviors may help promote optimal prescribing.

Prescribed stimulant medications: Trends in the last decade, pre and post COVID-19 response

BackgroundRecent studies indicate that COVID-19 has had a significant impact on access and continuity to opioid and benzodiazepine medications; little is known about its effect on access to and utilization of stimulant medications. ObjectiveTo investigate trends of dispensed stimulant medications in relation to the COVID-19 pandemic response. MethodsStimulant prescriptions dispensed during 2011–2021 were analyzed using the Massachusetts Prescription Drug Monitoring Program (PDMP), the state's data repository for all controlled substance medications dispensed to residents from retail pharmacies and out of state mail-order pharmacies. Statewide trends were estimated by age group, sex, and stimulant-naïve patients (individuals with no stimulant prescription in the prior one-year period). ResultsOverall, stimulant prescriptions increased 70% from 2011 to 2021. Wide differences by sex and age groups were found pre and post COVID response periods. Between 2019 and 2021, stimulant prescriptions for males 12–18 years old decreased 14.6% compared to 0.9% for females. Female stimulant-naïve patients ages 25–34 increased more than males between 2019 and 2021 (11.6% compared to <1%, respectively) and females ages 35–44 increased 4.1% while males decreased by 2.7%. ConclusionsAdministrators, clinicians, and policy makers should closely monitor stimulant prescribing trends, a critical step in improving access to and quality of care.

Predictors of treatment dropout in patients with posttraumatic stress disorder due to childhood abuse.

Knowledge about patient characteristics predicting treatment dropout for post-traumatic stress disorder (PTSD) is scarce, whereas more understanding about this topic may give direction to address this important issue. Data were obtained from a randomized controlled trial in which a phase-based treatment condition (Eye Movement Desensitization and Reprocessing [EMDR] therapy preceded by Skills Training in Affect and Interpersonal Regulation [STAIR]; n = 57) was compared with a direct trauma-focused treatment (EMDR therapy only; n = 64) in people with a PTSD due to childhood abuse. All pre-treatment variables included in the trial were examined as possible predictors for dropout using machine learning techniques. For the dropout prediction, a model was developed using Elastic Net Regularization. The ENR model correctly predicted dropout in 81.6% of all individuals. Males, with a low education level, suicidal thoughts, problems in emotion regulation, high levels of general psychopathology and not using benzodiazepine medication at screening proved to have higher scores on dropout. Our results provide directions for the development of future programs in addition to PTSD treatment or for the adaptation of current treatments, aiming to reduce treatment dropout among patients with PTSD due to childhood abuse.

Hospice agency characteristics associated with benzodiazepine and antipsychotic prescribing.

Benzodiazepine and antipsychotic medications are routinely prescribed for symptom management in hospice patients, but have significant risks for older adults. We explored the extent to which patient and hospice agency characteristics are associated with variations in their prescribing. Cross-sectional analysis of hospice-enrolled Medicare beneficiaries aged ≥65 years in 2017 (N = 1,393,622 in 4219 hospice agencies). The main outcome was the hospice agency-level rate of enrollees with benzodiazepine and antipsychotic prescription fills divided into quintiles. Rate ratios were used to compare the agencies with the highest and lowest prescription across patient and agency characteristics. In 2017, hospice agency prescribing rates varied widely: for benzodiazepines, from a median of 11.9% (IQR 5.9,22.2) in the lowest-prescribing quintile to 80.0% (IQR 76.9,84.2) in the highest-prescribing quintile; for antipsychotics, it ranged from 5.5% (IQR 2.9,7.7) in the lowest to 63.9% (IQR 56.1,72.0) in the highest. Among the highest benzodiazepine- and antipsychotic- prescribing hospice agencies, there was a smaller proportion of patients from minoritized populations (benzodiazepine: non-Hispanic Black rate ratio [RR] [Q5/Q1] 0.7, 95% CI 0.6-0.7, Hispanic RR 0.4, 95% CI 0.3-0.5; antipsychotic: non-Hispanic Black RR 0.7, 95% CI 0.6-0.8, Hispanic RR 0.4, 95% CI 0.3-0.5). A greater proportion of rural beneficiaries were in the highest benzodiazepine-prescribing quintile (RR 1.3, 95% CI 1.2-1.4), whereas this relationship was not present for antipsychotics. Larger hospice agencies were over-represented in the highest prescribing quintile for both benzodiazepines (RR 2.6, 95% CI 2.5-2.7) and antipsychotics (RR 2.7, 95% CI 2.6-2.8), as were for-profit agencies (benzodiazepine: RR 2.4, 95% CI 2.3-2.4; antipsychotic: RR 2.3, 95% CI 2.2-2.4). Prescribing rates varied widely across Census regions. Prescribing in hospice settings varies markedly across factors other than the clinical characteristics of enrolled patients.