Hypothalamic Subunit Volumes in Schizophrenia and Bipolar Spectrum Disorders

BACKGROUND

The hypothalamus is central to many hormonal and autonomous nervous system pathways. Emerging evidence indicates that these pathways may be disrupted in schizophrenia and bipolar disorder. Yet, few studies have examined the volumes of hypothalamic subunits in these patient groups. We compared hypothalamic subunit volumes in individuals with psychotic disorders to healthy controls.

STUDY DESIGN

We included 344 patients with schizophrenia spectrum disorders (SCZ), 340 patients with bipolar disorders (BPD), and 684 age- and-sex-matched healthy controls (CTR). Total hypothalamus and five hypothalamic subunit volumes were extracted from T1-weighted magnetic resonance imaging (MRI) using an automated Bayesian segmentation method. Regression models, corrected for age, age2, sex, and segmentation-based intracranial volume (sbTIV), were used to examine diagnostic group differences, interactions with sex, and associations with clinical symptoms, antipsychotic medication, antidepressants and mood stabilizers.

STUDY RESULTS

SCZ had larger volumes in the left inferior tubular subunit and smaller right anterior-inferior, right anterior-superior, and right posterior hypothalamic subunits compared to CTR. BPD did not differ significantly from CTR for any hypothalamic subunit volume, however, there was a significant sex-by-diagnosis interaction. Analyses stratified by sex showed smaller right hypothalamus and right posterior subunit volumes in male patients, but not female patients, relative to same-sex controls. There was a significant association between BPD currently taking antipsychotic medication and the left inferior tubular subunits volumes.

CONCLUSIONS

Our results show regional-specific alterations in hypothalamus subunit volumes in individuals with SCZ, with relevance to HPA-axis dysregulation, circadian rhythm disruption, and cognition impairment.

An evidence-based approach to psychopharmacology for posttraumatic stress disorder (PTSD) - 2022 update

Algorithms for posttraumatic stress disorder were published by this team in 1999 and 2011. Developments since then warrant revision. New studies and review articles from January 2011 to November 2021 were identified via PubMed and analyzed for evidence supporting changes. Following consideration of variations required by special patient populations, treatment of sleep impairments remains as the first recommended step. Nightmares and non-nightmare disturbed awakenings are best addressed with the anti-adrenergic agent prazosin, with doxazosin and clonidine as alternatives. First choices for difficulty initiating sleep include hydroxyzine and trazodone. If significant non-sleep PTSD symptoms remain, an SSRI should be tried, followed by a second SSRI or venlafaxine as a third step. Second generation antipsychotics can be considered, particularly for SSRI augmentation when PTSD-associated psychotic symptoms are present, with the caveat that positive evidence is limited and side effects are considerable. Anti-adrenergic agents can also be considered for general PTSD symptoms if not already tried, though evidence for daytime use lags that available for sleep. Regarding other pharmacological and procedural options, e.g., transcranial magnetic stimulation, cannabinoids, ketamine, psychedelics, and stellate ganglion block, evidence does not yet support firm inclusion in the algorithm. An interactive version of this work can be found at www.psychopharm.mobi.

Characteristics and predictors of off-label use of antipsychotics in general population sample

OBJECTIVE

Increasing number of people have been prescribed antipsychotics (APs) off-label in recent decades. This study aimed to identify the characteristics and predictors of receiving prescription of antipsychotics off-label.

METHODS

The study sample was part of the Northern Finland Birth Cohort 1966 (n = 7071). Data included questionnaires and national register data. Information on prescribed medications was extracted from the national register. The sample was divided into three groups: Persons who had been prescribed APs off-label (n = 137), individuals with non-psychotic mental disorders without APs off label (n = 1478) and individuals who had been diagnosed with psychosis or bipolar disorder and who had been prescribed APs (n = 151). We compared sociodemographic, lifestyle and clinical characteristics between the off-label and the comparison groups using logistic regression.

RESULTS

The most common diagnoses in the off-label group were depression (n = 96, 70.1%) and anxiety (n = 55, 40.1%). Compared with individuals with non-psychotic mental disorders who were not prescribed APs off-label, individuals with prescribed off-label APs had a lower level of education, lower socioeconomic status, were less often married, had a higher level of somatic and psychiatric morbidity, were more often smokers and more often had a substance abuse disorder and heavy alcohol consumption. When comparing the off-label group to individuals with psychosis or bipolar disorder who used APs, there were less differences, though individuals with psychosis or bipolar disorder had more markers of morbidity and a lower level of education.

CONCLUSION

Individuals who had been prescribed APs off label had a higher level of mental and somatic morbidity and poorer socioeconomic status than individuals with non-psychotic mental disorders who did not use APs.

Associations between off-label low-dose olanzapine or quetiapine and cardiometabolic mortality

Olanzapine and quetiapine are routinely used off-label at lower doses, though it remains unclear whether treatment is associated with mortality. Here, we examined the associations between low-dose olanzapine/quetiapine, defined as 5 mg/day of olanzapine equivalents (OE) with cardiometabolic mortality in a population-based, longitudinal cohort of individuals who sought specialized psychiatric services. Through cross-linked Swedish registries, 428,525 individuals without psychotic, bipolar, or cardiometabolic disorders, or previous treatment with antipsychotics or cardiometabolic-related drugs were followed for up to 10.5 years. Extended stratified Cox proportional hazards regressions were employed to estimate the hazard ratios (HR) of cardiometabolic mortality as a function of cumulative OE exposures, adjusted for age, sex, inpatient care, and time-dependent psychiatric diagnoses and treatments. Individuals were followed for a total of 2.1 million person-years. Treatment with olanzapine/quetiapine occurred in 18,317 of the cohort. In total, 2606 cardiometabolic-related deaths occurred. Treatment status (treated vs. untreated) was not significantly associated with cardiometabolic mortality (adjusted HR 0.86, 95% CI 0.64-1.15, P = 0.307). However, compared to no treatment, treatment for <6 months was significantly associated with a reduced risk (adjusted HR 0.56, 95% CI 0.37-0.87, P = 0.010) whereas treatment for 6-12 months was significantly associated with an increased risk (adjusted HR 1.89, 95% CI 1.22-2.92, P = 0.004), but not significantly beyond 12 months. Among those treated, each year exposed to an average 5 mg/day was significantly associated with increased cardiometabolic mortality (adjusted HR 1.45, 95% CI 1.06-1.99, P = 0.019). Overall, low-dose olanzapine/quetiapine treatment was weakly associated with cardiometabolic mortality. Clinicians should consider potential cardiometabolic sequelae at lower doses.

Comparative risk of new-onset diabetes following commencement of antipsychotics in New Zealand: a population-based clustered multiple baseline time series design

OBJECTIVE

Newer antipsychotics are increasingly prescribed off-label for non-psychotic ailments both in primary and secondary care settings, despite the purported risk of weight gain and development of type 2 diabetes mellitus. This study aims to determine any relationship between the development of clinically significant new-onset type 2 diabetes mellitus and novel antipsychotic use in New Zealand using hypnotic drugs as control.

DESIGN

A population-based clustered multiple baseline time series design.

SETTING

Routinely collected data from a complete national pharmaceutical database in New Zealand between 2005 and 2011.

PARTICIPANTS

Patients aged 40-60 years in the year 2006 who were ever dispensed antipsychotics (exposure groups-first-generation antipsychotics, second-generation antipsychotics and antipsychotics with low, medium and high risk for weight gain) or hypnotics (control group) between 2006 and 2011.

MAIN OUTCOME MEASURE

First ever metformin dispensed to patients in each study group between 2006 and 2011 as proxy for development of clinically significant type 2 diabetes mellitus, no longer amendable by lifestyle modifications.

RESULTS

Patients dispensed a second-generation antipsychotic had 1.49 times increased risk (95% CI 1.10 to 2.03, p=0.011) of subsequently commencing metformin. Patients dispensed an antipsychotic with high risk of weight gain also had a 2.41 times increased risk of commencing on metformin (95% CI 1.42 to 4.09, p=0.001).

CONCLUSIONS

Patients dispensed a second-generation antipsychotic and antipsychotics with high risk of weight gain appear to be at increased risk of being secondarily dispensed metformin. Caution should be taken with novel antipsychotic use for patients with increased baseline risk of type 2 diabetes mellitus.

Factors related to metabolic parameters in medicated patients with major depressive disorder--a naturalistic study

The aim of this study was to examine the metabolic parameters, including body mass index (BMI), homeostasis model assessment-estimated insulin resistance (HOMA-IR), homeostasis model assessment-estimated pancreatic β-cell function (HOMA-β), and lipid plasma level, in medicated patients with major depressive disorder (MDD) and to assess factors related to metabolic parameters in patients with MDD. 121 patients with MDD and 63 controls were recruited. The Hamilton Depression Rating Scale (HDRS), Wisconsin Card Sorting Test (WCST), Continuous Performance Test (CPT), and Finger-Tapping Test (FTT), were administered. BMI, HOMA-IR, and HOMA-β were calculated as modifiable metabolic parameters. The FTT results and BMI in depressed patients were significantly poorer and lower, respectively, than those of the controls. However, no significant differences were noted between MDD patients and controls included metabolic parameters and other neuropsychological tests. Among depressed patients, higher BMI is significantly related with lower education, no tobacco use, and male. The result demonstrated metabolic parameters could be neutral among medicated patients with MDD, particularly in non-elderly Asian individuals. The deficits of psychomotor speed could be more prominent than other cognitive alterations in patient with MDD.

Evaluation of the use of low-dose quetiapine and the risk of metabolic consequences: A retrospective review

Introduction

Quetiapine fumarate is an atypical antipsychotic approved for the treatment of schizophrenia, major depressive disorder, and bipolar disorder. Due to the sedative effects observed at low doses, prescribers use quetiapine to aid patients with sleep disturbances. Current evidence has established that quetiapine can cause negative changes in metabolic parameters, but it is unknown if these consequences also occur at low doses. Due to the use of quetiapine for sleep, the purpose of this study is to identify if metabolic effects are also a risk with the use of low-dose quetiapine.

Methods

Eligible subjects were identified through the Veterans Affairs electronic medical records as having an active prescription for quetiapine from June 30, 2012, through September 1, 2013. Subjects were then evaluated using inclusion and exclusion criteria for determination of study entrance. Descriptive statistics and t tests were utilized to identify clinical and statistical differences in outcomes.

Results

A total of 403 subjects were included in the final analysis. The average dose of quetiapine was 116.8 mg and average duration of therapy was 44 months. Increases were observed in systolic blood pressure (+1.95 mmHg; P = .036), diastolic blood pressure (+1.97 mmHg; P = .001), body mass index (+0.52; P = .001), weight (+1.88 kg; P = .002), and fasting blood glucose (+6.71 mg/dL; P = .002). Conversely, a decrease in total cholesterol (-10.06 mg/dL; P < .001) was recognized.

Discussion

As a result of the findings, there may be negative metabolic consequences with the use of low-dose quetiapine. Routine prescribing of low doses for sleep as a first-line medication should be avoided.

'Out of the frying pan': the challenges of prescribing for insomnia in psychiatric patients

OBJECTIVES

Managing insomnia is a common challenge for psychiatrists and their patients. We have observed an increasing use of quetiapine as a hypnosedative.

METHODS

We conducted an audit with the aim of establishing the prescribing patterns of local general psychiatrists in New Zealand, comparing them with established guidelines and determining the extent of the prescribing of quetiapine as a hypnosedative. Participant psychiatrists were recruited from peer review groups. Each participant provided anonymised prescribing information from 10 patients and noted their intention when prescribing.

RESULTS

Twenty-five clinicians (58% response rate) responded with prescriptions for 100 in-patients and 177 community mental health patients. 60% of in-patients and 62% of community patients were prescribed medications to aid with sleep. The most commonly prescribed medications were zopiclone, quetiapine and benzodiazepines. Prescribing adhered with the recommended guidelines for 20% of benzodiazepine and 35% of zopiclone prescriptions. Two thirds (60%) of the community prescriptions for quetiapine were primarily for hypnosedation.

CONCLUSIONS

There is little concordance between guidelines for hypnosedative prescribing and the practices of general psychiatrists. Less zopiclone and fewer benzodiazepines were prescribed than in other studies, while more quetiapine was prescribed. The 'off-label' use of quetiapine and the duration of zopiclone and benzodiazepine use are discussed.

Off-label use of atypical antipsychotic agents for treatment of insomnia

Despite limited supporting evidence, off-label uses of atypical or second generation antipsychotics (particularly olanzapine, quetiapine, and risperidone) are not uncommon. The off-label use of these agents for the treatment of insomnia is the focus of this review. While atypical antipsychotics are associated with a lower risk of tardive dyskinesia, extrapyramidal side effects, and more favorable effects on cognitive deficits and negative symptomatology in schizophrenic patients compared to typical or first generation antipsychotic agents, they are not without risks. Metabolic adverse effects are particularly problematic with atypical antipsychotics, even at doses lower than those used to treat FDA-approved indications. The receptor affinity profiles of most atypical antipsychotic agents promote sedation. The level of H1-histamine receptor blockade is believed to be most associated with somnolence and sedation. Several studies evaluating the safety and efficacy of the atypical antipsychotics quetiapine, olanzapine, and risperidone for the treatment of insomnia were identified and are summarized in this article.

Evaluation of trazodone and quetiapine for insomnia: an observational study in psychiatric inpatients

BACKGROUND

Insomnia is symptomatic of most psychiatric disorders. Non-habit-forming agents such as trazodone and quetiapine are commonly used off-label to treat patients with insomnia. The safety and efficacy of trazodone and quetiapine as medications for treatment of insomnia have never been directly contrasted. The objective of this study was to compare the effectiveness of trazodone to quetiapine among inpatient psychiatric patients by measuring the traditional sleep parameters of total sleep time, number of nighttime awakenings, sleep efficiency, sleep latency, length of hospitalization, and patient-reported side effects.

METHOD

Participants were recruited from St Helena Hospital Center for Behavioral Health, Vallejo, California. Patient inclusion criteria were age 18 to 65 years, admitted between September 2011 and February 2012, and a physician order for trazodone or quetiapine for insomnia. Exclusion criteria included primary insomnia, pregnancy, concomitant order of trazodone and quetiapine, receiving trazodone or quetiapine up to 2 weeks prior to the study, and inability to coherently communicate. Subjective patient interviews and objective nursing sleep log reviews composed the data set.

RESULTS

On average, mean total sleep time hours were longer among patients receiving trazodone versus those receiving quetiapine according to patients' subjective reports (7.80 vs 6.75, respectively, P < .01) and the nursing sleep logs (9.13 vs 8.68, respectively, P = .04). Patients receiving trazodone experienced fewer mean nighttime awakenings versus those receiving quetiapine (0.52 vs 0.75, respectively, P = .04) according to the nursing sleep log report. Patients receiving trazodone reported more side effects of constipation, nausea, and diarrhea than patients receiving quetiapine.

CONCLUSIONS

With respect to total sleep time and nighttime awakenings, trazodone was a more effective alternative than quetiapine. However, patients receiving trazodone experienced more gastrointestinal patient-reported side effects.

Drug and nutrition interactions: not just food for thought

WHAT IS KNOWN AND OBJECTIVE

The management of drug-drug interactions - from recognition of the interaction potential, to addressing the negative consequences - are well-recognized and avoided, or rapidly addressed when identified clinically. Drug-nutrition interactions are no less important than drug-drug interactions in patient care. Unfortunately, beyond those caused by food, these interactions are less commonly recognized or identified and managed. This article will re-introduce the topic of drug-nutrition interactions to clinicians.

COMMENT

Although many clinicians are acutely aware of and vigilant for potential drug-drug interactions, most are less aware of the possibility of drug-nutrition interactions beyond classic food-drug interactions. Interaction can occur between a drug and a nutrient, multiple nutrients, food in general, specific foods or components, or nutrition status. An interaction is considered clinically significant if it alters therapeutic drug response and/or compromises nutrition status. Mechanistically the interactions may be physicochemical reactions, actions at membrane transporters or metabolizing enzymes, or an influence on physiologic function. Appreciating the many types of drug-nutrition interactions will aid the clinician and have the potential to influence patient outcome.

WHAT IS NEW AND CONCLUSION

Ongoing advances in knowledge about drug and nutrition interactions have potential to improve patient care. Drug-nutrition interactions need to be better recognized, understood on a mechanistic basis, predicted, and managed as necessary.

Use of second-generation antipsychotic agents for sleep and sedation: a provider survey

OBJECTIVES

Anecdotal evidence suggests that second-generation antipsychotic agents are increasingly used to treat sleep problems. This study sought to quantify the proportion of new prescriptions for second-generation antipsychotic agents started for sleep/sedation and the correlates of such use.

DESIGN

A cross-sectional survey of provider decision making at the time second-generation antipsychotic agents were prescribed, documenting the reasons for the medication, patient demographics, psychiatric and medical diagnoses, patient health characteristics, and provider background.

SETTING

A single Veterans Affairs Medical Center over a 20-month period.

PARTICIPANTS

Prescribers of second-generation antipsychotic agents.

INTERVENTIONS

N/A.

RESULTS

Seven hundred seven (32.2%) of 2,613 surveys indicated sleep/sedation was at least one reason for using a second-generation anti-psychotic agent, whereas for 266 (12.1%) it was the only reason. Quetiapine was most frequently prescribed overall as well as for sleep/sedation (47.0% and 73.6% respectively). Second-generation antipsychotic agent use for sleep/sedation was unrelated to sociodemographic characteristics, least likely in patients with schizophrenia or bipolar disorder, and most likely as a newly started second-generation antipsychotic agent.

CONCLUSION

Sleep/sedation is a common reason given for new prescriptions of second-generation antipsychotic agents. Quetiapine is most frequently used for this purpose. A greater understanding of why providers use second-generation antipsychotic agents rather than safer and less costly alternatives for sleep problems may advance the development of interventions to reduce adverse effects.

Safety of Low Doses of Quetiapine When Used for Insomnia

Objective:

To evaluate the safety of low doses of quetiapine when used for insomnia.

Data Sources:

A literature search was performed using PubMed and EMBASE (January 1990-November 2011) using the terms quetiapine, insomnia, sleep, low-dose, subtherapeutic, safety, and weight gain.

Study Selection And Data Extraction::

Two prospective trials were identified that evaluated the effect of quetiapine in primary insomnia. In addition, 2 retrospective cohort studies were identified that evaluated the safety of low doses of quetiapine when used for Insomnia. Several case reports on adverse effects with low doses of the drug were also Included.

Data Synthesis:

Quetiapine is commonly used off-label for treatment of insomnia. When used for sleep, doses typically seen are less than the Food and Drug Administration-recommended dosage of 150-800 mg/day; those evaluated in the studies reviewed here were 25-200 mg/day). At recommended doses, atypical antipsychotics such as quetiapine are associated with metabolic adverse events (diabetes, obesity, hyperlipidemia). Adverse effects in the prospective trials were patient-reported and were minor, including drowsiness and dry mouth; however, tha trials were limited by their small sample size and short duration. The retrospective cohort studies found that quetiapine was associated with significant increases in weight compared to baseline. Serious adverse events identified from case reports included fatal hepatotoxicity, restless legs syndrome, akathisia, and weight gain.

Conclusions:

There are potential safety concerns when using low-dose quetiapine for treatment of insomnia. These concerns should be evaluated in further prospective studies. Based on limited data and potential safety concerns, use of low-dose quetiapine for insomnia is not recommended.

Drug-nutrient interactions: a broad view with implications for practice

The relevance of drug?nutrient interactions in daily practice continues to grow with the widespread use of medication. Interactions can involve a single nutrient, multiple nutrients, food in general, or nutrition status. Mechanistically, drug?nutrient interactions occur because of altered intestinal transport and metabolism, or systemic distribution, metabolism and excretion, as well as additive or antagonistic effects. Optimal patient care includes identifying, evaluating, and managing these interactions. This task can be supported by a systematic approach for categorizing interactions and rating their clinical significance. This review provides such a broad framework using recent examples, as well as some classic drug?nutrient interactions. Pertinent definitions are presented, as is a suggested approach for clinicians. This important and expanding subject will benefit tremendously from further clinician involvement.

Polypharmacy and food-drug interactions among older persons: a review

Polypharmacy is generally defined as the use of 5 or more prescription medications on a regular basis. The average number of prescribed and over-the-counter medications used by community-dwelling older adults per day in the United States is 6 medications, and the number used by institutionalized older persons is 9 medications. Almost all medications affect nutriture, either directly or indirectly, and nutriture affects drug disposition and effect. This review will highlight the issues surrounding polypharmacy, food-drug interactions, and the consequences of these interactions for the older adult.

The Psychopharmacology Algorithm Project at the Harvard South Shore Program: an update on posttraumatic stress disorder

BACKGROUND

This project aimed to provide an organized, sequential, and evidence-supported approach to the pharmacotherapy of posttraumatic stress disorder (PTSD), following the format of previous efforts of the Psychopharmacology Algorithm Project at the Harvard South Shore Program.

METHOD

A comprehensive literature review was conducted to determine the best pharmacological choices for PTSD patients and to update the last published version (1999) of the algorithm. We focused on optimal pharmacological interventions to address the prominent symptoms of PTSD, with additional attention to the impact that common comorbidities have on treatment choices.

RESULTS

We found that SSRIs and SNRIs are not as effective as previously thought, and that awareness of their long-term side effects has increased. New evidence suggests that addressing fragmented sleep and nightmares can improve symptoms (in addition to insomnia) that are frequently seen with PTSD (e.g., hyperarousal, reexperiencing). Prazosin and trazodone are emphasized at this initial step; if significant PTSD symptoms remain, an antidepressant may be tried. For PTSD-related psychosis, an antipsychotic may be added. In resistant cases, two or three antidepressants may be used in sequence. Following that, or with partial improvement and residual symptomatology, augmentation may be tried; the best options are antipsychotics, clonidine, topiramate, and lamotrigine.

CONCLUSION

This heuristic may be helpful in producing faster symptom resolution, fewer side effects, and increased compliance.