Psychopathological and Therapeutic Trajectories of Inpatients Affected by Mixed States and Bipolar Spectrum Disorders.

In clinical practice, mental health professionals face diagnostic and therapeutic challenges daily. The diagnostic identification of mixed states allows the management of diagnostic and therapeutic trajectories appropriately. In our study, we evaluated 484 patients at a psychiatric rehabilitation center. The initial pre-admission diagnosis of the mixed state of 3.71% (at baseline) increased to 32.23%. The observation period was three years. The therapeutic efficacy of the pharmacological association of Antidepressants (Ads) or Second Generation Antipsychotics (SGAs) with a mood stabilizer (sodium valproate, lithium, lamotrigine, gabapentin, and pregabalin) was evaluated. An improvement in psychopathological symptoms was observed in different groups analyzed. The most significant differences were observed with the association SGAs + mood stabilizer [olanzapine + valproate sodium (p=0.005); risperidone + pregabalin (p=0.072)] and SSRIs + mood stabilizer [escitalopram + valproate sodium (p=0.005), vortioxetine + mood stabilizers (valproate or gabapentin). However, these are preliminary data and are under evaluation.

A Rare Occurrence of Delayed Olanzapine-Induced Oculogyric Crisis in a Postpartum Patient: A Case Report.

Oculogyric crisis (OGC) is an acute dystonic reaction characterized by involuntary upward deviation of the eyes, often linked to the use of antipsychotic medications. While commonly associated with first-generation antipsychotics (FGAs) due to their higher propensity to cause extrapyramidal symptoms (EPS), OGC remains a rare but documented occurrence with second-generation antipsychotics (SGAs). SGAs, including olanzapine, are generally preferred in clinical practice due to their reduced risk of EPS; however, they are not completely devoid of such adverse effects. The emergence of OGC in the context of SGAs, particularly in unique clinical scenarios, highlights the importance of awareness and careful management of potential adverse effects in clinical practice. This case report presents a rare instance of OGC in a 25-year-old postpartum woman following an independent reduction in her olanzapine dosage, a medication usually associated with a low risk of dystonia. The patient, with no previous psychiatric history, had been treated with olanzapine for postpartum depression with psychotic features and demonstrated stability. The onset of OGC, occurring three months after the initiation of olanzapine and precipitated by stressors such as interpersonal conflicts and high-pressure situations, underscores the critical need for comprehensive patient education on the dangers of unsupervised medication adjustments. It also highlights the importance of vigilant monitoring, particularly in vulnerable populations, such as postpartum patients. This case underscores the necessity for individualized treatment approaches and highlights the rarity and clinical significance of OGC in patients on SGAs, contributing to the understanding of atypical presentations associated with these medications.

Metabolic Syndrome and Its Associated Factors Among Patients With Schizophrenia Treated With Second-Generation Antipsychotics at Amanuel Mental Specialized Hospital, Ethiopia.

Background Metabolic syndrome (MetS) encompasses a group of risk factors that increase the likelihood of developing cardiovascular diseases, thereby increasing the mortality rate. Second-generation antipsychotics (SGAs) are known for these side effects. This study aimed to determine the prevalence of MetS and its associated factors at Amanuel Mental Specialized Hospital. Methods A cross-sectional study was conducted from October 3, 2022, to August 31, 2023. Fasting blood sugar and lipid analysis were performed using the Dimension® EXL™ 200 Integrated Chemistry System (Siemens Healthineers, Malvern, PA, USA). A diagnosis of MetS was established using the modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III) criteria. IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, NY, USA) was used for analysis. A binary logistic regression model was employed, and a p-value less than 0.05 was considered significant. Results A total of 271 participants were enrolled in the study. Most subjects were male (90%) and had a mean age of 34.2 years, with an SD of 10.5. Most participants (70.8%) had abnormal waist circumference, followed by lower high-density lipoprotein cholesterol (HDL-C) at 42.8%. The prevalence of MetS was 35.8%. Gender (being female) (adjusted odds ratio or AOR 3, 95% CI: 1.2-7.4; p = 0.02) and olanzapine use (AOR 2.2, 95% CI: 1.3-3.7; p = 0.005) were predictors of MetS. Conclusions MetS is highly prevalent in patients treated with SGAs. Being female and olanzapine use were predictors of MetS. Clinicians managing these patients should screen and monitor the metabolic components used to diagnose MetS.

Impact of second-generation antipsychotics monotherapy or combined therapy in cytokine, lymphocyte subtype, and thyroid antibodies for schizophrenia: a retrospective study.

BACKGROUND: Schizophrenia (SCZ) shares high clinical relevance with the immune system, and the potential interactions of psychopharmacological drugs with the immune system are still an overlooked area. Here, we aimed to identify whether the second-generation antipsychotics (SGA) monotherapy or combined therapy of SGA with other psychiatric medications influence the routine blood immunity biomarkers of patients with SCZ. METHODS: Medical records of inpatients with SCZ from January 2019 to June 2023 were retrospectively screened from June 2023 to August 2023. The demographic data and peripheral levels of cytokines (IL-2, IL-4, IL-6, TNF-α, INF-γ, and IL-17 A), lymphocyte subtype proportions (CD3+, CD4+, CD8 + T-cell, and natural killer (NK) cells), and thyroid autoimmune antibodies (thyroid peroxidase antibody (TPOAb), and antithyroglobulin antibody (TGAb)) were collected and analyzed. RESULTS: 30 drug-naïve patients, 64 SGA monotherapy (20 for first-episode SCZ, 44 for recurrent SCZ) for at least one week, 39 combined therapies for recurrent SCZ (18 with antidepressant, 10 with benzodiazepine, and 11 with mood stabilizer) for at least two weeks, and 23 used to receive SGA monotherapy (had withdrawn for at least two weeks) were included despite specific medication. No difference in cytokines was found between the SGA monotherapy sub-groups (p > 0.05). Of note, SGA monotherapy appeared to induce a down-regulation of IFN-γ in both first (mean [95% confidence interval]: 1.08 [0.14-2.01] vs. 4.60 [2.11-7.08], p = 0.020) and recurrent (1.88 [0.71-3.05] vs. 4.60 [2.11-7.08], p = 0.027) episodes compared to drug-naïve patients. However, the lymphocyte proportions and thyroid autoimmune antibodies remained unchanged after at least two weeks of SGA monotherapy (p > 0.05). In combined therapy groups, results mainly resembled the SGA monotherapy for recurrent SCZ (p > 0.05). CONCLUSION: The study demonstrated that SGA monotherapy possibly achieved its comfort role via modulating IFN-γ, and SGA combined therapy showed an overall resemblance to monotherapy.

Prescribing patterns for older-age bipolar disorder patients discharged from two public mental hospitals in Taiwan, 2006-2019.

BACKGROUND: Older-age bipolar disorder (OABD) is commonly defined as bipolar disorder in individuals aged 60 or more. There have been no studies to examine temporal trends in the pharmacological treatment of OABD. We aimed to investigate prescription changes among OABD patients discharged from two public mental hospitals in Taiwan from 2006 to 2019. METHODS: OABD patients discharged from the two study hospitals, from 1 January 2006 to 31 December 2019 (n = 1072), entered the analysis. Prescribed drugs at discharge, including mood stabilisers (i.e., lithium, valproate, carbamazepine, and lamotrigine), antipsychotics (i.e., second- and first-generation antipsychotics (SGAs and FGAs)), and antidepressants, were investigated. Complex polypharmacy was defined as the use of three or more agents among the prescribed drugs. Temporal trends of each prescribing pattern were analyzed using the Cochran-Armitage Trend test. RESULTS: The most commonly prescribed drugs were SGAs (72.0%), followed by valproate (48.4%) and antidepressants (21.7%). The prescription rates of SGAs, antidepressants, antidepressants without mood stabilisers, and complex polypharmacy significantly increased over time, whereas the prescription rates of mood stabilisers, lithium, FGAs, and antidepressants plus mood stabilisers significantly decreased. CONCLUSIONS: Prescribing patterns changed remarkably for OABD patients over a 14-year period. The decreased use of lithium and increased use of antidepressants did not reflect bipolar treatment guidelines. Future research should examine whether such prescribing patterns are associated with adverse clinical outcomes.

Randomized open-label study of second-generation antipsychotics for the treatment of schizophrenia: 104-week final results of the JUMPs study assessing treatment discontinuation, remission, and social functioning.

BACKGROUND: We report the final results of treatment with aripiprazole, blonanserin, and paliperidone from the Japan Useful Medication Program for Schizophrenia (JUMPs), a 104-week naturalistic study. METHODS: JUMPs was an open-label, three-arm, randomized, parallel-group, 104-week study. Patients aged ≥ 20 years with schizophrenia requiring antipsychotic treatment or a switch from previous therapy were enrolled. The primary endpoint was treatment discontinuation rate over 104 weeks. Secondary endpoints included remission rate, Personal and Social Performance (PSP), safety, Positive and Negative Syndrome Scale (PANSS), and quality of life (QOL; EuroQol-5 dimension). RESULTS: In total, 251 patients received aripiprazole (n = 82), blonanserin (n = 85), or paliperidone (n = 84). Treatment discontinuation rates (aripiprazole, 80.5%; blonanserin, 81.2%; paliperidone, 71.4%) were not significantly different (p = 0.2385) among the treatment groups at 104 weeks; comparable outcomes were observed for endpoints, including remission (42.9%, 46.7%, and 45.8%), PANSS, and safety. In the overall cohort, while the improvement in the PSP total score at Week 104 was not significantly different from baseline, a significant improvement (p < 0.05) in QOL and total PANSS scores (including all subscales) was observed at Week 104 compared with baseline. Multivariable analysis identified a shorter disease duration and a higher chlorpromazine-equivalent antipsychotic dosage level (≥ 1000 mg) before switching to monotherapy as predictors of treatment discontinuation. CONCLUSIONS: The 104-week treatment outcomes were comparable between groups; the overall trend of improvement in remission rate, safety, and QOL suggests the importance of continued treatment. CLINICAL TRIAL REGISTRATION: UMIN-Clinical Trials Registry UMIN000007942 (public release date: 14/05/2012).

Metabolic Syndrome among Patients Taking Atypical Antipsychotics: A Comparative Cross-Sectional Study at Erada and Mental Health Complex in Taif, Saudi Arabia.

Introduction: Second-Generation Antipsychotics (SGAs) are widely used for treating psychiatric disorders due to their favorable side effect profile compared to First-Generation Antipsychotics (FGAs). However, SGAs are associated with significant metabolic side effects. This study aims to explore the sociodemographic and health differences between individuals using SGAs and those not using them. Methods: A comparative cross-sectional study was conducted with 148 participants, including 102 SGA users and 46 non-users. Data were collected from patients and medical records, encompassing sociodemographic factors and health variables including diabetes mellitus, hypertension, cardiovascular disease, hyperlipidemia, waist circumference, fasting blood glucose, cholesterol, triglycerides, HDL, LDL, and BMI. Statistical analyses included chi-square and Fisher's exact tests to compare the two groups. Results: SGA users had higher rates of overweight and obesity compared to non-users (p = 0.000), with 30.4% overweight and 29.4% obese among SGA users versus 21.7% overweight and 4.3% obese among non-users. A higher prevalence of cardiovascular disease was observed in SGA users (11.8% vs. 2.2%, p = 0.076). Although not statistically significant, trends indicated higher rates of diabetes mellitus and hyperlipidemia in non-users (30.4% vs. 18.6%, p = 0.110 and 7% vs. 0%, p = 0.083, respectively). Conclusion: This study highlights significant differences in BMI and cardiovascular disease prevalence between SGA users and non-users, reinforcing the need for comprehensive metabolic monitoring in patients treated with SGAs. The findings underscore the importance of considering sociodemographic factors in managing the health risks associated with SGA use. Further research with larger sample sizes and longitudinal designs is warranted to better understand these associations and develop targeted interventions.

Multiple Adverse Reactions Associated With the Use of Second-Generation Antipsychotics in People With Alzheimer's Disease: A Pharmacovigilance Analysis Based on the FDA Adverse Event Reporting System.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative condition leading to memory loss, cognitive impairment, and neuropsychiatric symptoms. Second-generation antipsychotics (SGAs) are commonly used to manage these neuropsychiatric symptoms, but their safety profile in patients with AD requires further investigation. OBJECTIVE: The objective was to evaluate the safety of SGAs in patients with AD by analyzing adverse drug reactions (ADRs) using the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. METHODS: This study conducted a comprehensive analysis of FAERS data from 2014 to 2023, focusing on ADRs in patients with AD treated with SGAs such as risperidone, quetiapine, olanzapine, clozapine, and aripiprazole. Descriptive, disproportionality, time, and dose analysis were performed using the Bayesian confidence propagation neural network, Weibull, and physiologically based pharmacokinetic model. RESULTS: Out of 1289 patients with AD treated with SGAs, the most common ADRs involved the nervous system, gastrointestinal system, and cardiac disorders. Disproportionality analysis identified significant positive signals in cardiac, renal, and vascular systems. Quetiapine, risperidone, and olanzapine showed more positive signals compared with clozapine and aripiprazole. Time analysis indicated that cardiovascular ADRs occurred randomly, whereas renal ADRs increased with prolonged use. Dose analysis suggested that small doses of SGAs did not elevate the risk of multiple cardiac, renal, or vascular ADRs. CONCLUSION AND RELEVANCE: The study underscores the importance of monitoring for ADRs, particularly in the cardiac and renal systems, when using SGAs in patients with AD. Future research incorporating more comprehensive clinical data is warranted to support safe and rational drug utilization.

Long-term metabolic side effects of second-generation antipsychotics in Chinese patients with schizophrenia: A within-subject approach with modelling of dosage effects.

BACKGROUND: Second-generation antipsychotics (SGAs) are commonly used to treat schizophrenia (SCZ), but SGAs may differ in the severity of side effects. Long-term studies are lacking, and previous observational studies have limitations, such as failure to account for confounding factors and short follow-up durations. AIMS: To compare the long-term anthropometric and metabolic side effects of seven SGAs in a Chinese population, using a within-subject approach to reduce the risk of confounding. METHOD: We collected longitudinal data of SGA prescriptions, concomitant medications, fasting blood glucose (BG), lipid profiles, and BMI in a cohort of 767 patients with SCZ, with follow-up lasting up to 18.7 years (median ∼6.2 years). A total of 192,152 prescription records were retrieved, with 27,723 metabolic measures analysed. Linear mixed models were used to estimate the effects of SGA on BG, lipid profiles and BMI. Besides studying the effects of SGA medications (as binary predictors), we also investigated the effects of SGA dosage on metabolic profiles. RESULTS: Considering SGA medications as binary predictors, clozapine and olanzapine were associated with the most substantial worsening of lipid profiles and BMI. A significant increase in BG was observed with clozapine only. Amisulpride, paliperidone and quetiapine were associated with worsened lipid profiles and increased BMI. Conversely, aripiprazole was associated with significant improvement in lipid profiles but a small increase in BMI. When SGA dosage was considered, the model showed consistent results overall. At the minimum effective dose, clozapine was associated with the most severe metabolic side effects, followed by olanzapine. Risperidone and aripiprazole showed the least metabolic side effects, with aripiprazole being significantly associated with lower lipids. CONCLUSIONS: This study clarified the long-term and dose-dependent effects of different SGAs on anthropometric and metabolic parameters in Chinese SCZ patients. Our findings may inform clinicians and SCZ patients of SGA choices.

The Effect of Neuropsychiatric Drugs on the Oxidation-Reduction Balance in Therapy.

The effectiveness of available neuropsychiatric drugs in the era of an increasing number of patients is not sufficient, and the complexity of neuropsychiatric disease entities that are difficult to diagnose and therapeutically is increasing. Also, discoveries about the pathophysiology of neuropsychiatric diseases are promising, including those initiating a new round of innovations in the role of oxidative stress in the etiology of neuropsychiatric diseases. Oxidative stress is highly related to mental disorders, in the treatment of which the most frequently used are first- and second-generation antipsychotics, mood stabilizers, and antidepressants. Literature reports on the effect of neuropsychiatric drugs on oxidative stress are divergent. They are starting with those proving their protective effect and ending with those confirming disturbances in the oxidation-reduction balance. The presented publication reviews the state of knowledge on the role of oxidative stress in the most frequently used therapies for neuropsychiatric diseases using first- and second-generation antipsychotic drugs, i.e., haloperidol, clozapine, risperidone, olanzapine, quetiapine, or aripiprazole, mood stabilizers: lithium, carbamazepine, valproic acid, oxcarbazepine, and antidepressants: citalopram, sertraline, and venlafaxine, along with a brief pharmacological characteristic, preclinical and clinical studies effects.

LC-MS/MS quantification of olanzapine in hair after alkaline digestion.

Olanzapine (OLZ), a second-generation antipsychotic drug, is effective in the treatment of acute psychosis, schizophrenia, agitation, bipolar mania, and other psychiatric problems. Antipsychotics are prescribed drugs, which lead the drug abuser to illegal methods of access. This behavior also demonstrates the association of OLZ with criminal involvement, commonly observed at forensic crime scenes. The acute toxicity and even death resulting from OLZ exposure have been highlighted in numerous studies. Therefore, developing analytical techniques to detect OLZ is essential for forensic toxicology. This study aimed to develop a specific and reliable LC-MS/MS method for OLZ detection and quantification in hair samples. The method was validated in terms of selectivity, linearity, limit of detection (LOD), limit of quantification (LOQ), trueness, precision, and uncertainty. The range of linearity was between 0.1-100 ng/mg, with LOD and LOQ values established at 0.036 ng/mg and 0.1 ng/mg, respectively. All validation results are within acceptable parameters. The validated method has been applied to authentic hair samples. The variation of OLZ concentrations in 12 hair segments (2 from Case 1 and 10 from Case 2) from two drug-positive patients, ranging from 0.131 to 0.460 ng/mg, is presented in this study. Although several studies have been conducted to determine OLZ in hair samples using segmental analysis via hair solubilization, this study is the first to determine OLZ in hair samples after "digestion" with comparative parameters prior to chromatographic analysis.

Risk of congenital malformations associated with first-trimester exposure to antipsychotics: A propensity score-weighted population-based cohort study.

BACKGROUND: There is growing concern regarding teratogenic effect of antipsychotics. Previous research assessing association between antipsychotics and congenital malformations (CMs) yielded mixed results and were all derived from Western countries. We aimed to examine risk of major and organ/system-specific CMs associated with prenatal antipsychotic exposure in Hong Kong. METHODS: This population-based study identified women aged 15-50 years who delivered their first/singleton child between 2003-2018 from public healthcare service database. Propensity score (PS)-weighted logistic-regression analyses were performed to examine risk of CMs following first-trimester exposure to antipsychotic classes (second- and first-generation antipsychotic; SGA and FGA) and six most frequently-prescribed individual antipsychotics. RESULTS: Of 465,069 women, 419 and 420 redeemed ≥1 prescription of SGA and FGA during first-trimester, respectively. Prevalence of any CMs was 4.9% (95%CI:4.9-5.0%) in unexposed-infants, 9.1% (6.7-12.3%) in SGA-exposed infants, and 6.2% (4.3-9.0%) in FGA-exposed infants. SGA exposure (adjusted-odds-ratio: 2.11 [95%CI:1.19-3.86]) was associated with increased risk of CMs. This finding was consistent with sensitivity analyses addressing exposure misclassification and confounding by treatment indication, but not with PS-matched sensitivity analysis. Elevated risk of CMs was observed in infants exposed to high-dose olanzapine (7.50 [1.65-36.13]) and high-dose quetiapine (15.03 [4.86-56.72]), but with wide-CIs. Organ/system-specific malformations were not associated with SGA, FGA or individual antipsychotics. CONCLUSION: We observed a small increased risk of major malformations associated with SGA, but was not consistently affirmed in sensitivity analyses, precluding firm conclusions. Research with large sample size clarifying comparative safety of individual antipsychotics on specific malformations is warranted.

Is Antipsychotic Drug Use During Pregnancy Associated with Increased Malformation Rates and Worsening of Maternal and Infant Outcomes? A Systematic Review.

There is much debate about continuing antipsychotic medication in patients who need it when they become pregnant because benefits must be weighed against potential teratogenic and malformation effects related to antipsychotics themselves. To address this, we conducted a systematic review on the PubMed, PsycINFO and CINHAL databases and the ClinicalTrials.gov register using the following strategy: (toxicity OR teratogenicity OR malformation* OR "birth defect*" OR "congenital abnormality" OR "congenital abnormalities" OR "brain changes" OR "behavioral abnormalities" OR "behavioral abnormalities") AND antipsychotic* AND (pregnancy OR pregnant OR lactation OR delivery OR prenatal OR perinatal OR post-natal OR puerperium) on September 27, 2023. We found 38 studies to be eligible. The oldest was published in 1976, while most articles were recent. Most studies concluded that the antipsychotics, especially the second-generation antipsychotics, were devoid of teratogenic potential, while few studies were inconclusive and recommended replication. Most authoritative articles were from the Boston area, where large databases were implemented to study the malformation potential of psychiatric drugs. Other reliable databases are from Northern European registers. Overall conclusions are that antipsychotics are no more related to malformations than the disorders themselves; most studies recommend that there are no reasons to discontinue antipsychotic medications in pregnancy.

Mortality risk and mood stabilizers in bipolar disorder: a propensity-score-weighted population-based cohort study in 2002-2018.

AIMS: Accumulating studies have assessed mortality risk associated with mood-stabilizers, the mainstay treatment for bipolar disorder (BD). However, existing data were mostly restricted to suicide risk, focused on lithium and valproate and rarely adequately adjusted for potential confounders. This study aimed to assess comparative mortality risk with all, natural and unnatural causes between lithium, valproate and three frequently prescribed second-generation antipsychotics (SGA), with adjustment for important confounders. METHODS: This population-based cohort study identified 8137 patients with first-diagnosed BD, who had exposed to lithium (n = 1028), valproate (n = 3580), olanzapine (n = 797), quetiapine (n = 1975) or risperidone (n = 757) between 2002 and 2018. Data were retrieved from territory-wide medical-record database of public healthcare services in Hong Kong. Propensity-score (PS)-weighting method was applied to optimize control for potential confounders including pre-existing chronic physical diseases, substance/alcohol use disorders and other psychotropic medications. PS-weighted Cox proportional-hazards regression was conducted to assess risk of all-, natural- and unnatural-cause mortality related to each mood-stabilizer, compared to lithium. Three sets of sensitivity analyses were conducted by restricting to patients with (i) length of cumulative exposure to specified mood-stabilizer ≥90 days and its medication possession ratio (MPR) ≥90%, (ii) MPR of specified mood-stabilizer ≥80% and MPR of other studied mood-stabilizers <20% and (iii) monotherapy. RESULTS: Incidence rates of all-cause mortality per 1000 person-years were 5.9 (95% confidence interval [CI]: 4.5-7.6), 8.4 (7.4-9.5), 11.1 (8.3-14.9), 7.4 (6.0-9.2) and 12.0 (9.3-15.6) for lithium-, valproate-, olanzapine-, quetiapine- and risperidone-treated groups, respectively. BD patients treated with olanzapine (PS-weighted hazard ratio = 2.07 [95% CI: 1.33-3.22]) and risperidone (1.66 [1.08-2.55]) had significantly higher all-cause mortality rate than lithium-treated group. Olanzapine was associated with increased risk of natural-cause mortality (3.04 [1.54-6.00]) and risperidone was related to elevated risk of unnatural-cause mortality (3.33 [1.62-6.86]), relative to lithium. The association between olanzapine and increased natural-cause mortality rate was consistently affirmed in sensitivity analyses. Relationship between risperidone and elevated unnatural-cause mortality became non-significant in sensitivity analyses restricted to low MPR in other mood-stabilizers and monotherapy. Valproate- and lithium-treated groups did not show significant differences in all-, natural- or unnatural-cause mortality risk. CONCLUSION: Our data showed that olanzapine and risperidone were associated with higher mortality risk than lithium, and further supported the clinical guidelines recommending lithium as the first-line mood-stabilizer for BD. Future research is required to further clarify comparative mortality risk associated with individual SGA agents to facilitate risk-benefit evaluation of alternative mood-stabilizers to minimize avoidable premature mortality in BD.

Effects of antipsychotics on the gastrointestinal microbiota: A systematic review.

Antipsychotics (APs) have been increasingly prescribed for psychiatric disorders from schizophrenia to disruptive behavioral conditions. These drugs have been associated with considerable side effects, such as weight gain, and increasing evidence has also indicated that its use impacts gut microbiota (GM), although this connection is still little understood. To assess APs effects on the GM of patients starting or ongoing treatment, a systematic review was carried out in PubMed and Scopus databases. Twelve articles were considered eligible for the review, which investigated the effects of risperidone (5 studies), quetiapine (3), amilsupride (1), olanzapine (1), and unspecified atypical drugs (2). Eleven reported changes in GM in response to APs, and associations between the abundance of bacterial groups and different metabolic parameters were described by most of them. However, the studies were noticeably heterogeneous considering design, methods, and results. In this way, the effects of APs on GM composition and diversity were inconclusive. Despite the uncertain interactions, a more comprehensive understanding on how microbiota is affected by APs may help to optimize treatment, potentially minimizing side effects and improving adherence to treatment.

A review on side effect management of second-generation antipsychotics to treat schizophrenia: a drug safety perspective.

INTRODUCTION: Effective side effects management present a challenge in antipsychotic treatment with second-generation antipsychotics (SGAs). In recent years, most of the commonly used SGAs, except for clozapine, have been shown to differ only slightly in their effectiveness, but considerably regarding perceived side effects, safety profiles, and compatibility to preexisting medical conditions. AREAS COVERED: The current state of available evidence on side-effect management in SGA treatment of patients with schizophrenia spectrum disorders (SSD) is reviewed. In addition, current guideline recommendations are summarized, highlighting evidence gaps. EXPERT OPINION: SGA safety and side effects needs to be considered in treatment planning. Shared decision-making assistants (SDMA) can support patients, practitioners and relatives to orient their decisions toward avoiding side effects relevant to patients' adherence. Alongside general measures like psychosocial and psychotherapeutic care, switching to better tolerated SGAs can be considered a relatively safe strategy. By contrast, novel meta-analytical evidence emphasizes that dose reduction of SGAs can statistically increase the risk of relapse and other unfavorable outcomes. Further, depending on the type and severity of SGA-related side effects, specific treatments can be used to alleviate induced side effects (e.g. add-on metformin to reduce weight-gain). Finally, discontinuation should be reserved for acute emergencies.

Adjunctive cariprazine for major depressive disorder: a systematic review and meta-analysis.

Converging evidence has suggested that treatment augmentation with a second-generation atypical antipsychotic (SGA) may improve treatment outcomes in major depressive disorder (MDD) patients after an incomplete response to a first-line antidepressant. Cariprazine is a recently approved SGA for MDD augmentation. Herein, we evaluate both continuous (ie, change in depressive symptom severity scores over time) and categorical (ie, remission and response rates) outcomes. Following a full-text review, four randomized controlled trials (RCTs) were included in our meta-analysis, while five studies were included for a qualitative review. Risk ratios (RRs) were calculated for all included randomized controlled studies to determine the relative response and remission rates of cariprazine compared to placebo augmentation. The RR for all-cause dropout was also determined as a proxy for overall acceptability. Two studies found a statistically significant treatment response using cariprazine augmentation. One study observed depressive symptom remission for cariprazine compared to placebo. Our random-effects model revealed moderate antidepressant effects of cariprazine, with a standardized mean difference (SMD) in Montgomery-Åsberg Depression Rating Scale (MADRS) scores of -1.79 (95% CI): -2.89, -0.69). Our pooled response RR and remission RR were calculated as 1.21 (95% CI: 1.05, 1.39, P=0.008) and 0.99 (95% CI: 0.84, 1.17, P=0.91), respectively. The RR for response was statistically significant (P<0.05). However, the RR for remission was not statistically significant. The findings from our meta-analysis include a variable magnitude of effects. Evidence suggests cariprazine may be an effective treatment for MDD; however, further results are needed to clarify this relation.

Trajectories and Predictors for the Development of Clinically Significant Weight Gain in Children and Adolescents Prescribed Second-Generation Antipsychotics.

Background: As many as 60% of pediatric patients taking second-generation antipsychotics (SGA) experience weight gain (antipsychotic-induced weight gain). However, the subgroup that experienced substantial weight increase was poorly understood. This study aimed to identify the development and predictors of clinically significant weight gain (CSWG) among pediatric SGA recipients. Methods: A retrospective analysis of the 2016 to 2021 IQVIA Ambulatory EMR-US database was conducted. The study cohort comprised SGA-naive patients ages 5 to 19, continuously prescribed SGA for ≥90 days. CSWG was defined as a weight gain in BMI z-score >0.5. The development of CSWG was described using the group-based trajectory model approach, and multinomial logistic regression analysis was conducted to examine the risk factors associated with the CSWG trajectories. Results: Of the 16,262 SGA recipients who met the inclusion criteria, 4 distinctive CSWG trajectories were identified: (1) Rapid (14.6%), (2) Gradual (12.6%), (3) Transit (7%), and (4) no CSWG (65.8%). Factors associated with a higher likelihood of having rapid or gradual CSWG versus nonsignificant weight gain were being younger (OR [95% CI] = 12-17 vs. 5-11, Rapid, 0.727 [0.655-0.806]; Gradual, 0.776 [0.668-0.903]), male (Rapid, 1.131 [1.021-1.253]), non-Hispanic White (Black vs. White: Rapid, 0.833 [0.709-0.98]), with lower baseline BMI z-score (Rapid, 0.376 [0.361-0.392]; Gradual, 0.449 [0.424-0.476]), and receiving olanzapine as the initial SGA (Rapid, 1.38 [1.093-1.74]). The Area under the Receiver operating characteristic (ROC) Curve for the comparison of rapid and gradual CSWG with no CSWG trajectory were 0.83 and 0.80, respectively. Conclusions: SGA recipients experienced four distinctive CSWG trajectories (Rapid, Gradual, Transient, and No CSWG). The risk of CSWG could be predicted using patient characteristics at the SGA initiation. This insight highlights the importance of personalized monitoring and timely intervention strategies for at-risk individuals who experienced persistent CSWG in real practice.

Evaluation of Global Dystonia Rating Scale as a predictor of unfavorable outcomes among acute antipsychotics poisoned patients.

Worldwide, acute antipsychotic poisoning results in high morbidities and mortalities. Though extrapyramidal syndromes are commonly associated, the extent of extrapyramidal syndromes in relation to the severity of antipsychotic poisoning has not been addressed yet. Thus, this study aimed to assess the Global Dystonia Rating Scale (GDRS) as an unfavorable outcomes predictive tool in acute antipsychotic poisoning. A cross-sectional study included 506 antipsychotic-poisoned patients admitted to Tanta University Poison Control Center, Egypt, over three years was conducted. The mean GDRS was 9.1 ± 16.7 in typical antipsychotic poisoning, which was significantly higher than that of atypical antipsychotics (4.2 ± 11.5) (p = 0.003). Patients with GDRS> 20 showed significantly higher liability for all adverse outcomes (p < 0.05). However, poisoning with typical antipsychotics was associated with significantly more cardiotoxicity (p = 0.042), particularly prolonged QRS (p = 0.005), and intensive care unit (ICU) admission (p = 0.000). In contrary to the PSS, which failed to predict the studied adverse outcomes, GDRS significantly predicted all adverse outcomes (p < 0.000) for all antipsychotic generations. In atypical antipsychotics, GDRS above three accurately predicted cardiotoxicities, prolonged QTc interval, and respiratory failure with Area under curves (AUC) of 0.937, 0.963, and 0.941, respectively. In typical antipsychotic poisoning, at higher cutoffs (7.5, 27.5, 18, and 7.5), cardiotoxicities, prolonged QTc interval, and respiratory failure were accurately predicted (AUC were 0.974, 0.961, and 0.960, respectively). GDRS is an objective, substantially useful tool that quantifies dystonia and can be used as an early reliable predictor of potential toxicity in acute antipsychotic poisoning.

Personalized Approach in the Management of Difficult-to-Treat and Treatment-Resistant Depression With Second-Generation Antipsychotics: A Delphi Statement.

Background Major depressive disorder (MDD) has many facets including mixed or atypical depression that requires personalized care to improve treatment-related outcomes. Second-generation antipsychotics (SGAs) offer complementary mechanisms for clinical roles in difficult-to-treat depression and treatment-resistant depression cases. Aim/objective To further delineate a consensus on the clinical positioning of SGAs for MDD, mixed, or atypical depression, a Knowledge Attitude Perception (KAP)-mediated Delphi Statement was planned. Material/methods A literature review for the definition, diagnosis, and management of MDD, mixed, and atypical depression as treatment-resistant depression (TRD) or difficult-to-treat depression (DTD) was conducted by a steering committee of academic and clinical experts (n=6) while developing a validated KAP questionnaire. Scientific statements as clinical recommendations were evolved using the Delphi methodology before building a clinical expert consensus with an online survey (n=24). Results Twenty-four psychiatrists highlighted DTD to offer a multidimensional approach to assess treatment strategies involving selective serotonin reuptake inhibitors (SSRIs) or SGAs, while ensuring symptom, functional, and quality of life (QoL) domain improvement for improved outcomes and remission rates. MDD cases with anxiety, anhedonia, comorbidities, and risk traits require personalized care with early induction of SGAs for severe cases or symptom persisters with functional impairment. Early augmentation with SGAs including aripiprazole or cariprazine can provide a favorable risk-benefit profile for clinical cases of MDD with or without the antecedent of mixed depression or personality disorder.  Conclusion The literature review and KAP responses emphasize the importance of early identification for personalized care strategies with SGAs for DTD. Large-scale real-world evidence needs to evolve with due recognition of different phenotypes as TRD or DTD with partial or functional impairment to understand the impact of appropriate treatment pathways with SGAs.