Effect of Quetiapine, from Low to High Dose, on Weight and Metabolic Traits: Results from a Prospective Cohort Study

Reducing the use of psychotropics in a convalescent rehabilitation ward

AIMS

Many patients who are transferred to the convalescent rehabilitation ward of Kawasaki Kokoro Hospital (hereinafter, our hospital) are on psychotropics prescribed for delirium by their physicians at acute care hospitals. In this study, psychiatrists and pharmacists collaborated with rehabilitation physicians to reduce the use of psychotropics.

METHODS

The basic information and psychotropics prescription statuses of 88 patients discharged from the convalescent rehabilitation ward of our hospital between April 1, 2021 and March 31, 2022 were derived from their medical records.

RESULTS

At admission, psychotropics were prescribed to 55 patients and the number of prescribed drugs was 2 (median). At discharge, psychotropics were prescribed to 41 patients and the number of prescribed drugs was 1 (median), showing a significant decrease (p < 0.05). Compared with those at admission, prescribed psychotropic doses at discharge were significantly higher for lemborexant but significantly lower for antipsychotics, benzodiazepine/nonbenzodiazepine hypnotics, antidepressants, suvorexant, ramelteon, and sodium valproate (p < 0.05).

CONCLUSIONS

These results suggest that it may be possible to reduce the types and doses of psychotropics prescribed at acute care hospitals in convalescent rehabilitation wards. However, further investigation is needed because the number of patients in this study was limited, and selection bias due to different patient characteristics cannot be ruled out.

Insights into the population pharmacokinetics and pharmacodynamics of quetiapine: a systematic review

INTRODUCTION

Quetiapine exhibits notable pharmacokinetic and pharmacodynamic (PK/PD) variability, the origins of which are poorly understood. This systematic review summarizes published population PK/PD studies and identifies significant covariates accounting for this variability to inform precision dosing.

METHODS

We systematically searched the PubMed, Web of Science, and Embase databases and compared study characteristics, model parameters, and covariate effects. Visual predictive distributions were used to compare different models. Forest plots and Monte Carlo simulations were used to assess the influence of covariates.

RESULTS

Six population PK and three population PK/PD studies were included. The median apparent clearance in adults was 87.7 L/h. Strong and moderate cytochrome P450 3A4 inducers increased the apparent clearance approximately fourfold, while strong cytochrome P450 3A4 inhibitors reduced it by 93%. The half-maximum effect concentrations were 82.8 ng/mL for the Brief Psychiatric Rating Scale and 583 ng/mL for dopamine D2 receptor occupancy. Both treatment duration and quetiapine exposure were associated with weight gain.

CONCLUSIONS

Concurrent administration of potent or moderate CYP3A4 inducers and inhibitors need to be avoided in quetiapine-treated patients. When co-medication is required, it is recommended to adjust the dosage based on therapeutic drug monitoring. Additional research is warranted to delineate the dose-exposure-response relationships of quetiapine and active metabolite norquetiapine in pediatrics, geriatrics, hepatically-impaired patients, and women using contraceptives or are pregnant or menopausal.

PROSPERO REGISTRATION

CRD42023446654.

Effects of quetiapine on sleep: A systematic review and meta-analysis of clinical trials

Quetiapine is a common off-label antipsychotic drug for treating insomnia. Its effects in different disease conditions and dosages remain unclear. We conducted a systematic review and meta-analysis in clinical trials examining the efficacy of low-dose quetiapine in sleep. We obtained 21 clinical trials. Mean difference (MD), standard mean difference (SMD), and odds ratio (OR) were used to estimate the effect sizes using a random-effects model. The pooled results showed that quetiapine improved sleep quality compared with placebo (SMD: -0.57 [95%CI: -0.75, -0.4]). The SMD of sleep quality was correlated with age (coefficient: -0.0174) and sex (coefficient: -0.012). The significant effects were observed in the general anxiety disorder (SMD: -0.59 [95%CI: -0.92, -0.27]), major depressive disorder (SMD: -0.47 [95%CI: -0.66, -0.28]), and healthy (SMD: -1.33, [95%CI [-2.12, -0.54]) subgroups, at the dosage of 50 mg (SMD: -0.36 [95%CI: -0.36, -0.11]), 150 mg (SMD: -0.4 [95%CI: -0.52, -0.29]), and 300 mg (SMD: -0.17 [95%CI: -0.31,-0.04]). Quetiapine increased total sleep time compared with placebo (MD: 47.91 [95%CI: 28.06, 67.76]) but not when compared with other psychiatric drugs (MD: -4.19 [95%CI: -19.43, 11.05]). Adverse events (AEs) and discontinuation due to AEs were common among the quetiapine users. Quetiapine is effective as a sleep-helping drug. Precaution is suggested when interpreting the results on the elderly due to the high heterogeneity caused by incorporating patients over 66 years in the meta-analyses. We recommend an initial dosage of 50-150 mg/day with priority consideration for the elderly with GAD or MDD while monitoring its potential AEs.

Evolutions of Metabolic Parameters Following Switches of Psychotropic Drugs: A Longitudinal Cohort Study

BACKGROUND

Several psychotropic drugs can induce weight gain and metabolic alterations. The authors compared metabolic evolutions of patients switching versus continuing psychotropic treatments with different risk profiles.

METHODS

Patients either switched from a high- to a medium- (N = 36) or low-risk drug (N = 27), from a medium- to a low-risk drug (N = 71), or to a same-risk drug (N = 61). Controls were kept using either a high- (N = 35), medium- (N = 155), or low-risk drug (N = 47). The evolution over 2 years of weight and metabolic parameters was analyzed using linear mixed-effect models, also examining the influence of polygenic risk scores for body mass index (BMI) or BMI and psychiatric disorders.

STUDY RESULTS

High-, medium-, or low-risk controls gained on average 1.32%, 0.42%, and 0.36% more weight per month than patients switching from or within these risk categories (P < .001, P < .001, and P = .003, respectively). High-to-high or high-to-medium switches resulted in a greater weight increase than switching to lower-risk categories (+0.77% and + 0.39% respectively, P < .001). No difference was found between switching medium-to-medium and medium-to-low (P ≈ 1). Switching high-to-low resulted in 10% weight loss after 2 years, with the greatest loss occurring the first 6 months after the switch. Compared with high-risk controls, lower total cholesterol (-0.27 mmol/l, P = .043) in the high-to-low group, and lower glucose (-0.44 mmol/l, P = .032) and systolic blood pressure (-5.50 mmHg, P = .034) in the low-to-low group were found. Polygenic scores were not associated with weight changes in controls or after switching.

CONCLUSION

Psychotropic switches to a lower- or same-risk drug can attenuate weight gain, with only switching high to low resulting in weight loss.

Pharmacological Strategies for Bipolar Disorders in Acute Phases and Chronic Management with a Special Focus on Lithium, Valproic Acid, and Atypical Antipsychotics

Bipolar disorders (BDs) are a heterogeneous group of severe affective disorders generally described by the alternation of (hypo)manic, depressive, and mixed phases, with euthymic intervals of variable duration. BDs are burdened with high psychiatric and physical comorbidity, increased suicide risk and reduced life expectancy. In addition, BDs can progress into complicated forms (e.g., mixed states, rapid/irregular cycling), which are more difficult to treat and often require personalized pharmacological combinations. Mood stabilizers, particularly Lithium and Valproic acid (VPA), still represent the cornerstones of both acute and chronic pharmacotherapies of BDs. Lithium is the gold standard in BD-I and BDII with typical features, while VPA seems more effective for atypical forms (e.g., mixed-prevalence and rapid-cycling). However, despite appropriate mood stabilization, many patients show residual symptoms, and more than a half recur within 1-2 years, highlighting the need of additional strategies. Among these, the association of atypical antipsychotics (AAPs) with mood stabilizers is recurrent in the treatment of acute phases, but it is also being growingly explored in the maintenance pharmacotherapy. These combinations are clinically more aggressive and often needed in the acute phases, whereas simplifying pharmacotherapies to mood stabilizers only is preferable in the long-term, whenever possible. When mood stabilizers are not enough for maintenance treatment, Quetiapine and, less consistently, Aripiprazole have been proposed as the most advisable adjunctive strategies, for their safety and tolerability profiles. However, in view of the increased risk of serious adverse effects, a careful patient-centered balance between costs and benefits is mandatory.

Olanzapine-associated dose-dependent alterations for weight and metabolic parameters in a prospective cohort

Metabolic abnormalities have been associated with olanzapine treatment. We assessed if olanzapine has dose‐dependent effects on metabolic parameters with changes for weight, blood pressure, lipid and glucose profiles being modelled using linear mixed‐effects models. The risk of metabolic abnormalities including early weight gain (EWG) (≥5% during first month) was assessed using mixed‐effects logistic regression models. In 392 olanzapine‐treated patients (median age 38.0 years, interquartile range [IQR] = 26.0–53.3, median dose 10.0 mg/day, IQR = 5.0–10.0 for a median follow‐up duration of 40.0 days, IQR = 20.7–112.2), weight gain was not associated with olanzapine dose (p = 0.61) although it was larger for doses versus ≤10 mg/day (2.54 ± 5.55 vs. 1.61 ± 4.51% respectively, p = 0.01). Treatment duration and co‐prescription of >2 antipsychotics, antidepressants, benzodiazepines and/or antihypertensive agents were associated with larger weight gain (p < 0.05). Lower doses were associated with increase in total and HDL cholesterol and systolic and diastolic blood pressure (p < 0.05), whereas higher doses were associated with glucose increases (p = 0.01). Patients receiving >10 mg/day were at higher EWG risk (odds risk: 2.15, 1.57–2.97). EWG might be prominent in high‐dose olanzapine‐treated patients with treatment duration and co‐prescription of other medications being weight gain moderators. The lack of major dose‐dependent patterns for weight gain emphasizes that olanzapine‐treated patients are at weight gain risk regardless of the dose.