Systematic Review and Network Meta-analysis: Efficacy and Safety of Second-Generation Antipsychotics in Youths With Bipolar Depression

Risk factors, prevention and treatment of weight gain associated with the use of antidepressants and antipsychotics: a state-of-the-art clinical review

INTRODUCTION

People with severe mental illness have poor cardiometabolic health. Commonly used antidepressants and antipsychotics frequently lead to weight gain, which may further contribute to adverse cardiovascular outcomes.

AREAS COVERED

We searched MEDLINE up to April 2023 for umbrella reviews, (network-)meta-analyses, trials and cohort studies on risk factors, prevention and treatment strategies of weight gain associated with antidepressants/antipsychotics. We developed 10 clinical recommendations.

EXPERT OPINION

To prevent, manage, and treat antidepressant/antipsychotic-related weight gain, we recommend i) assessing risk factors for obesity before treatment, ii) monitoring metabolic health at baseline and regularly during follow-up, iii) offering lifestyle interventions including regular exercise and healthy diet based on patient preference to optimize motivation, iv) considering first-line psychotherapy for mild-moderate depression and anxiety disorders, v)choosing medications based on medications' and patient's weight gain risk, vi) choosing medications based on acute vs long-term treatment, vii) using effective, tolerated medications, viii) switching to less weight-inducing antipsychotics/antidepressants where possible, ix) using early weight gain as a predictor of further weight gain to inform the timing of intervention/switch options, and x) considering adding metformin or glucagon-like peptide-1 receptor agonists, or topiramate(second-line due to potential adverse cognitive effects) to antipsychotics, or aripiprazole to clozapine or olanzapine.

Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis

OBJECTIVE

The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings.

METHODS

A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software.

RESULTS

A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82-2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32-1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74-4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48-3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31-4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57-1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74-0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88-2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12-1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38-3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22-1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12-1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57-1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25-1.85).

CONCLUSION

The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index.

Systematic Review and Network Meta-Analysis: Efficacy and Safety of Antipsychotics vs Antiepileptics or Lithium for Acute Mania in Children and Adolescents

OBJECTIVE

To compare second-generation antipsychotics (SGAs) and mood stabilizers (MSs) in youth with a bipolar disorder type I (BD-I) manic/mixed episode.

METHOD

A systematic PubMed/Embase/PsycInfo literature search until December 31, 2023, for randomized trials of SGAs or MSs in patients ≤18 years of age with BD-I manic/mixed episode was conducted. The study included a network meta-analysis comparing treatments regarding mania symptoms and mania response (co-primary outcomes), and secondary efficacy and tolerability outcomes.

RESULTS

Eighteen studies (n = 2844, mean age = 11.74, female participants = 48.0%, mean study duration = 5.4 weeks) comparing 6 SGAs (aripiprazole, asenapine, olanzapine, quetiapine, risperidone, and ziprasidone) and 4 MSs (lithium, oxcarbazepine, topiramate, and valproate) were meta-analyzed. All 6 SGAs outperformed placebo in reducing manic symptomatology, including risperidone (standardized mean difference [SMD] = -1.18, 95% CI = -0.92, -1.45, Confidence in Network Meta-Analysis [CINeMA] = moderate confidence), olanzapine (SMD = -0.77, 95% CI = -0.36, -1.18, low confidence), aripiprazole (SMD = -0.67, 95% CI = -0.33, -1.01, moderate confidence), quetiapine (SMD = -0.60, 95% CI = -0.32, -0.87, high confidence), asenapine (SMD = -0.54, 95% CI = -0.19, -0.89, moderate confidence), and ziprasidone (SMD = -0.43, 95% CI = -0.17, 0.70, low confidence), whereas no mood stabilizer outperformed placebo. Concerning mania response, risperidone (Risk ratio [RR] = 2.58, 95% CI = 1.88, 3.54, low confidence), olanzapine (RR = 2.42, 95% CI = 1.33, 3.54, very low confidence), aripiprazole (RR = 2.05, 95% CI = 1.44, 2.92, low confidence), quetiapine (RR = 1.89, 95% CI = 1.45n 2.47, moderate confidence), asenapine (RR = 1.81, 95% CI = 1.28, 2.55, very low confidence) and lithium (RR = 1.35, 95% CI = 1.00, 1.83, p = .049, very low confidence) outperformed placebo, without superiority of other MSs vs placebo. Individually, risperidone was more efficacious in reducing manic symptomatology than all other comparators, except olanzapine and topiramate, yet with low/very low confidence, and was associated with increased prolactin and glucose. Pooled together, SGAs outperformed both placebo and MSs for mania symptom reduction (SMD = -0.68, 95% CI = -0.86, -0.51 and SMD = -0.61, 95% CI = -0.82, -0.40, moderate confidence), and mania response (RR = 1.85, 95% CI = 1.53, 2.24 and RR = 1.65, 95% CI = 1.33, 2.04, moderate confidence) without differences between MSs and placebo. There were no significant treatment-placebo differences for all-cause discontinuation, whereas lithium, ziprasidone, and oxcarbazepine were associated with more adverse event-related drop-outs than placebo. Most SGAs were associated with more sedation, weight gain, and metabolic issues vs placebo and MSs.

CONCLUSION

SGAs were more efficacious than placebo and MSs in treating acute mania symptoms, however, their use must be carefully weighed against important side effects.

Efficacy and Safety of Adding Lurasidone to Ongoing Therapy With Lithium or Valproate for the Treatment of an Acute Bipolar Depressive Episode: A Post Hoc Analysis of 2 Placebo-Controlled Trials

PURPOSE

The aim of this study was to compare the efficacy and safety profile of lurasidone combined with either lithium or valproate, in the short-term treatment of patients with bipolar depression.

METHODS

Data were pooled from two 6-week, double-blind, placebo-controlled trials of patients with bipolar depression on stable doses of lithium or valproate randomized to lurasidone (20-120 mg/d) or placebo. Efficacy measures included the Montgomery-Åsberg Depression Rating Scale, Clinical Global Impressions Bipolar Scale, and the Quick Inventory of Depressive Symptomatology via self-assessment and were analyzed using a mixed model for repeated measures approach.

RESULTS

Notably larger week 6 effect sizes were observed when lurasidone was added to lithium, compared with when lurasidone was added to valproate, on 2 of the 3 depression outcome measures, Montgomery-Åsberg Depression Rating Scale total score (d = 0.45 vs 0.22) and Quick Inventory of Depressive Symptomatology via self-assessment (d = 0.63 vs 0.29); the efficacy advantage was smaller on the Clinical Global Impressions Bipolar Scale depression score (d = 0.34 vs 0.29). Similar adverse event profiles were observed for lurasidone treatment in combination with either lithium or valproate. The most frequently reported events (≥5%) in both groups were nausea, parkinsonism, somnolence, akathisia, and insomnia. Minimal changes in weight, lipids, and measures of glycemic control were observed during treatment with lurasidone combined with either lithium or valproate.

CONCLUSIONS

Lurasidone added to either lithium or valproate was found to be an effective treatment for bipolar depression, with a larger antidepressant effect observed when lurasidone was combined with lithium. There were no clinically meaningful differences in the safety or tolerability of lurasidone when used adjunctively with lithium or valproate.

Effect of antipsychotics and mood stabilisers on metabolism in bipolar disorder: a network meta-analysis of randomised-controlled trials

Background

Antipsychotics and mood stabilisers are gathering attention for the disturbance of metabolism. This network meta-analysis aims to evaluate and rank the metabolic effects of the commonly used antipsychotics and mood stabilisers in treating bipolar disorder (BD).

Methods

Registries including PubMed, Embase, Cochrane Library, Web of Science, Ovid, and Google Scholar were searched before February 15th, 2024, for randomised controlled trials (RCTs) applying antipsychotics or mood stabilisers for BD treatment. The observed outcomes were twelve metabolic indicators. The data were extracted by two reviewers independently, and confirmed by another four reviewers and a corresponding author. The above six reviewers all participated in data analyses. Data extraction was based on PRISMA guidelines, and quality assessment was conducted according to the Cochrane Handbook. Use a random effects model for data pooling. The PROSPERO registration number is CRD42023466669.

Findings

Together, 5421 records were identified, and 41 publications with 11,678 complete-trial participants were confirmed eligible. After eliminating possible sensitivity, risperidone ranked 1st in elevating fasting serum glucose (SUCRA = 90.7%) and serum insulin (SUCRA = 96.6%). Lurasidone was most likely to elevate HbA1c (SUCRA = 82.1%). Olanzapine ranked 1st in elevating serum TC (SUCRA = 93.3%), TG (SUCRA = 89.6%), and LDL (SUCRA = 94.7%). Lamotrigine ranked 1st in reducing HDL (SUCRA = 82.6%). Amisulpride ranked 1st in elevating body weight (SUCRA = 100.0%). For subgroup analyses, quetiapine is more likely to affect indicators of glucose metabolism among male adult patients with bipolar mania, while long-term lurasidone tended to affect glucose metabolism among female patients with bipolar depression. Among patients under 18, divalproex tended to affect glucose metabolism, with lithium affecting lipid metabolism. In addition, most observed antipsychotics performed higher response and remission rates than placebo, and displayed a similar dropout rate with placebo, while no between-group significance of rate was observed among mood stabilisers.

Interpretation

Our findings suggest that overall, antipsychotics are effective in treating BD, while they are also more likely to disturb metabolism than mood stabilisers. Attention should be paid to individual applicability in clinical practice. The results put forward evidence-based information and clinical inspiration for drug compatibility and further research of the BD mechanism.

Funding

The National Key Research and Development Program of China (2023YFC2506200), and the Research Project of Jinan Microecological Biomedicine Shandong Laboratory (No. JNL-2023001B).

Umbrella Review: Association Between Antipsychotic Drugs and Metabolic Syndrome Hallmarks in Children and Adolescents

OBJECTIVE

To summarize the available evidence on metabolic parameters indicating metabolic adverse effects and risk of metabolic syndrome in children and adolescents treated with antipsychotics, following a pre-specified protocol (PROSPERO ID 252336).

METHOD

We searched PubMed, Embase and PsycINFO until May 14, 2021, to identify systematic reviews (SR), meta-analyses (MA) and network meta-analyses (NMA) examining symptoms associated to metabolic syndrome in patients <18 years of age who required treatment with oral antipsychotic drugs. Evidence from quantitative analyses for all outcomes related to anthropometric, glyco-metabolic, and blood pressure parameters (measured from baseline to intervention-end and/or follow-up, in subjects exposed to antipsychotics and placebo) was reported on the basis of their metrics (median difference [medianD], mean difference [MD], standardized mean difference [SMD], odds ratio [OR], risk ratio ([RR]). A qualitative synthesis was also made. A formal quality assessment of the included studies was carried out by using the AMSTAR 2. We also provided a hierarchical stratification of the evidence from meta-analyses based on the class of evidence.

RESULTS

A total of 23 articles (13 MA, 4 NMA and 6 SR) were included for review. As compared with placebo, an increase in triglyceride levels was associated with olanzapine (medianD [95% CI]: 37 [12.27, 61.74] mg/dL; MD [95% CI]: 38.57 [21.44, 55.77] mg/dL) and quetiapine (medianD [95% CI]: 21.58 [95% CI]: 4.27, 38.31 mg/dL; MD [95% CI]: 34.87 [20.08, 49.67] mg/dL; SMD [95% CI]: 0.37 [0.06, 0.068]), whereas decreased triglyceride levels were found for lurasidone. Increased total cholesterol level was associated with asenapine (medianD [95% CI]: 9.1 [1.73, 16.44] mg/dL), quetiapine (medianD [95% CI]: 15.60 [7.30, 24.05] mg/dL; olanzapine (MD [95% CI] from 3.67 [1.43, 5.92] mg/dL to 20.47 [13.97, 26.94] mg/dL]; and lurasidone (medianD [95% CI]: 8.94 [1.27, 16.90] mg/dL). Change in glucose levels did not differ among antipsychotics or placebo. Lurasidone, molindone, and ziprasidone were the best tolerated in terms of weight gain. According to the AMSTAR 2 scoring system, 13 (56.5%) reviews were rated as very low quality. According to classes of evidence, most MA were level 4, especially because of their limited total sample size.

CONCLUSION

By collating meta-analyses assessing biochemical markers of metabolic syndrome in antipsychotic-treated children, we conclude that olanzapine should not be the antipsychotic of choice in patients at risk for hypertriglyceridemia or hypercholesterolemia. Aripiprazole and lurasidone appear to be better tolerated in terms of metabolic adverse events. Insufficient meta-analytic data are available to provide a precise risk estimate of metabolic syndrome, and, overall, the quality of evidence is low.

STUDY REGISTRATION INFORMATION

Association between the use of antipsychotic drugs and alterations of the parameters defining the Metabolic Syndrome (MetS) in children and adolescents: an umbrella review; https://www.crd.york.ac.uk/prospero/; CRD42021252336.

Lurasidone blocks the voltage-gated potassium channels of coronary arterial smooth muscle cells

Lurasidone is a second-generation antipsychotic drug used to treat schizophrenia, mania, and bipolar disorder. The drug is an antagonist of the 5-HT2A and D2 receptors. No effect of lurasidone on the voltage-gated K+ (Kv) channels has yet been identified. Here, we show that lurasidone inhibits the vascular Kv channels of rabbit coronary arterial smooth muscle cells in a dose-dependent manner with an IC50 of 1.88 ± 0.21 μM and a Hill coefficient of 0.98 ± 0.09. Although lurasidone (3 μM) did not affect the activation kinetics, the drug negatively shifted the inactivation curve, suggesting that the drug interacted with the voltage sensors of Kv channels. Application of 1 or 2 Hz train steps in the presence of lurasidone significantly increased Kv current inhibition. The recovery time after channel inactivation increased in the presence of lurasidone. These results suggest that the inhibitory action of lurasidone is use (state)-dependent. Pretreatment with a Kv 1.5 subtype inhibitor effectively reduced the inhibitory effect of lurasidone. However, the inhibitory effect on Kv channels did not markedly change after pretreatment with a Kv 2.1 or a Kv7 subtype inhibitor. In summary, lurasidone inhibits vascular Kv channels (primarily the Kv1.5 subtype) in a concentration- and use (state)-dependent manner by shifting the steady-state inactivation curve.

Sex Differences in Serum Prolactin Levels in Children and Adolescents on Antipsychotics: A Systematic Review and Meta-Analysis

BACKGROUND

Serum prolactin levels are influenced by sex, physical development and medications among other factors. Antipsychotics usually increase serum prolactin levels in both adults and younger patients, but no study has reviewed the potential association between sex and vulnerability for developing hyperprolactinemia among children and adolescents.

OBJECTIVE

Systematic review and meta-analysis of serum prolactin levels in children and adolescents on antipsychotic treatment for any psychiatric diagnosis to determine the effect of sex.

METHODS

A systematic search was performed in MEDLINE/PubMed/Web of Science and Cochrane databases for randomized controlled trials of antipsychotics in children and adolescents reporting serum prolactin levels by sex.

RESULTS

Of 1278 identified records, seven studies were included, comparing different single antipsychotics to placebo (risperidone N=4; lurasidone N=1; olanzapine N=1; queriapine N=1). Both male and female children and adolescents on antipsychotics presented a significant increase in prolactin levels relative to subjects receiving a placebo. (Male: 16.53 with 95% CI: 6.15-26.92; Female: 26.97 with 95% CI: 9.18-44.75). The four studies using risperidone had similar findings (Male: 26.49 with 95% CI: 17.55-35.43; Female: 37.72 with 95% CI: 9.41-66.03). In the direct comparison between sexes, females showed greater increases in prolactin, but the differences were not statistically significant.

CONCLUSION

Serum prolactin levels are increased in children and adolescents of both sexes on antipsychotics, with females showing a slightly greater increase than males. Further research is needed to clarify the influence of sex and pubertal status on prolactin levels in children and adolescents taking antipsychotics.

Editors' Best of 2022

There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, hammering version after version into shape. Acknowledging these biases, here are the 2022 articles that we think deserve your attention or at least a second read.

Can machine learning identify childhood characteristics that predict future development of bipolar disorder a decade later?

Early identification of bipolar disorder may provide appropriate support and treatment, however there is no current evidence for statistically predicting whether a child will develop bipolar disorder. Machine learning methods offer an opportunity for developing empirically-based predictors of bipolar disorder. This study examined whether bipolar disorder can be predicted using clinical data and machine learning algorithms. 492 children, ages 6-18 at baseline, were recruited from longitudinal case-control family studies. Participants were assessed at baseline, then followed-up after 10 years. In addition to sociodemographic data, children were assessed with psychometric scales, structured diagnostic interviews, and cognitive and social functioning assessments. Using the Balanced Random Forest algorithm, we examined whether the diagnostic outcome of full or subsyndromal bipolar disorder could be predicted from baseline data. 45 children (10%) developed bipolar disorder at follow-up. The model predicted subsequent bipolar disorder with 75% sensitivity, 76% specificity, and an Area Under the Receiver Operating Characteristics of 75%. Predictors best differentiating between children who did or did not develop bipolar disorder were the Child Behavioral Checklist Externalizing and Internalizing behaviors, the Child Behavioral Checklist Total t-score, problematic school functions indexed through the Child Behavioral Checklist School Competence scale, and the Child Behavioral Checklist Anxiety/Depression and Aggression scales. Our study provides the first quantitative model to predict bipolar disorder. Longitudinal prediction may help clinicians assess children with emergent psychopathology for future risk of bipolar disorder, an area of clinical and scientific importance. Machine learning algorithms could be implemented to alert clinicians to risk for bipolar disorder.

Lurasidone use in Cannabis-Induced Psychosis: A Novel Therapeutic Strategy and Clinical Considerations in Four Cases Report

BACKGROUND

Lurasidone is an atypical antipsychotic approved for the acute and maintenance treatment of schizophrenia. Recently, lurasidone was also extended FDA approval for adults with major depressive episodes associated with bipolar I disorder (bipolar depression), as either a monotherapy or as adjunctive therapy with lithium or valproate. The use of low doses of atypical antipsychotics is an essential component of early intervention in psychosis, but little has yet been studied on first episode cannabis-induced psychosis. For its particular performance and tolerability, lurasidone is becoming an important option for the treatment of first-episode psychosis in youth. Case presentation four patients experiencing first cannabis-induced psychotic episode were treated with lurasidone. In all patients, there was an improvement in the clinical picture of psychosis. The recovery was positive, not only with the remission of positive and negative symptoms, but also regarding disruptive behaviour, with the return of functioning. All the patients were treated with lurasidone, with a target dose of 74-128 mg/day. No significant side effects were reported.

CONCLUSION

There are non-controlled studies for the use of lurasidone in first episode psychosis cannabis induced. These findings suggest that lurasidone is an atypical antipsychotic beneficial in this clinical picture. Treatment with medium-high doses of lurasidone could be effective and tolerable in this phase of the disorder. Randomized control trials with longer follow-up are recommended to confirm these positive results.

Why lithium should be used in patients with bipolar disorder? A scoping review and an expert opinion paper

INTRODUCTION

Lithium treatment is considered the gold standard for the long-term management of bipolar disorder and recurrent unipolar depression. It is also extremely effective in other psychiatric conditions characterized by impulsivity and aggression, and for the prevention of suicidal behaviours.

AREAS COVERED

This paper provides a scoping review and an expert commentary regarding the use of lithium in adult patients. Available information about efficacy, tolerability, dosing, and switching is analyzed, and the strategies that may be most useful in real-world clinical settings are highlighted.

EXPERT OPINION

Lithium is effective on different domains of bipolar disorder, including the long-term prevention of recurrences of affective episodes, management of acute mania as well as in the prophylaxis of all affective episodes. Lithium has been defined a 'forgotten drug,' since its use in routine clinical practice has been declined over the last 20 or 30 years. Reasons for this trend include lack of adequate training on the management of lithium side effects. Considering its efficacy, use of lithium in ordinary clinical practice should be promoted. Several strategies, such as using slow-release formulations, can be easily implemented in order to minimize lithium side effects and improve its tolerability profile.

Pharmacotherapy interventions for adolescent co-occurring substance use and mental health disorders: a systematic review

BACKGROUND

Co-occurring mental health and substance use (SU) disorders among adolescents are common, with two-thirds of adolescents who seek SU treatment also requiring support for mental health. Primary care physicians play a key role in the pharmacological treatment of mental health disorders among adolescents, however, little is known about the impact of these treatments on SU outcomes.

OBJECTIVES

This systematic review summarizes the evidence regarding commonly used pharmacotherapy interventions for mental health and their impact on adolescent SU.

METHODS

Literature searches were conducted across five databases as part of a larger systematic review of adolescent SU interventions. Studies were screened for eligibility by two researchers, and study data were extracted regarding study design, patient and treatment characteristics and results. Risk of bias analyses and qualitative syntheses were completed to evaluate the strength of the evidence and the impact of pharmacotherapy on SU outcomes.

RESULTS

Ten randomized controlled trials exploring seven pharmacotherapies met criteria for inclusion. All studies had low to moderate risk of bias. Four studies evaluated pharmacotherapy for co-occurring depression and SU, three evaluated attention deficit hyperactivity disorder and SU, and three evaluated bipolar disorder and SU. Five of the 10 studies also included a behavioural intervention. We found no evidence that pharmacotherapy for co-occurring mental health diagnoses impacted SU.

CONCLUSION

Family medicine clinicians prescribing pharmacotherapy for mental health should be aware that additional interventions will likely be needed to address co-occurring SU.

Editorial: Second-Generation Antipsychotics for Bipolar Depression in Youths: The Best Evidence Synthesis Is a Strong Call for Further Evidence

Before the network meta-analysis (NMA) by DelBello et al. in this issue of the Journal, no NMA had been published on the pharmacological treatment of bipolar depression in youths. DelBello et al. have filled this gap by conducting the first NMA of second-generation antipsychotics for major depressive episodes in youths with bipolar disorder. The NMA by DelBello et al. is arguably the best available evidence synthesis on the comparative efficacy and safety of second-generation antipsychotics for bipolar depression in youths. However, it should be considered as the first building block that strongly calls for more evidence to support clinical decision making in the management of this serious but overlooked condition.