Atypical antipsychotic drugs and diabetes mellitus in a large outpatient population: a retrospective cohort study

Antidepressants use and the risk of type 2 diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

This study aimed at examining the effects of different antidepressants on the new onset of T2DM.

METHODS

Systematic literature retrieval for cohort and case-control studies was conducted in PubMed, Embase, Web of Science, Cochrane library, Clinical Trials Register of the Cochrane Collaboration and CENTRAL published from January 2000 to October 2020. Pooled estimates were calculated and subgroup analyses were conducted by a fixed or random effects model according to the heterogeneity. Funnel plots and Egger's test were performed to evaluate publication bias. Stata Version 15.1 was used for data analysis.

RESULTS

Thirty studies (24 cohort, 4 nested case-control and 2 case-control studies) were included covering 2,875,567 participants with the follow-up periods from 1 year to 18 years (Median=8.4 years). The pooled estimates of antidepressants use and new-onset T2DM were HR=1.24 (95% CI: 1.18, 1.31), RR=1.42 (95% CI: 0.99, 2.05) and OR=1.17 (95% CI: 1.03, 1.32), respectively. However, subgroup analyses showed that only tricyclic antidepressants (TCAs) use was positively associated with the new onset of T2DM in both cohort studies (combined RR=1.39, 95% CI: 1.17, 1.65) and case-control studies (combined OR=1.25, 95% CI: 1.05, 1.50). Moreover, the risk of T2DM was increased with the duration of antidepressants use in a linear trend (R²= 88.51%, P = 0.009).

LIMITATIONS

Heterogeneity might impact the results and inference.

CONCLUSIONS

Antidepressants use might be a risk factor for the new onset of T2DM. Patients with long-term antidepressants use should be evaluated cautiously for T2DM risk. Routine T2DM screening is necessary in antidepressants users.

The Burden of Antipsychotic-Induced Weight Gain and Metabolic Syndrome in Children

Antipsychotic medications are critical to child and adolescent psychiatry, from the stabilization of psychotic disorders like schizophrenia, bipolar disorder, and psychotic depression to behavioral treatment of autism spectrum disorder, tic disorders, and pediatric aggression. While effective, these medications carry serious risk of adverse events-most commonly, weight gain and cardiometabolic abnormalities. Negative metabolic consequences affect up to 60% of patients and present a major obstacle to long-term treatment. Since antipsychotics are often chronically prescribed beginning in childhood, cardiometabolic risk accumulates. An increased susceptibility to antipsychotic-induced weight gain (AIWG) has been repeatedly documented in children, particularly rapid weight gain. Associated cardiometabolic abnormalities include central obesity, insulin resistance, dyslipidemia, and systemic inflammation. Lifestyle interventions and medications such as metformin have been proposed to reduce risk but remain limited in efficacy. Furthermore, antipsychotic medications touted to be weight-neutral in adults can cause substantial weight gain in children. A better understanding of the biological underpinnings of AIWG could inform targeted and potentially more fruitful treatments; however, little is known about the underlying mechanism. As yet, modest genetic studies have nominated a few risk genes that explain only a small percentage of the risk. Recent investigations have begun to explore novel potential mechanisms of AIWG, including a role for gut microbiota and microbial metabolites. This article reviews the problem of AIWG and AP metabolic side effects in pediatric populations, proposed mechanisms underlying this serious side effect, and strategies to mitigate adverse impact. We suggest future directions for research efforts that may advance the field and lead to improved clinical interventions.

Using Multiple Pharmacovigilance Models Improves the Timeliness of Signal Detection in Simulated Prospective Surveillance

INTRODUCTION

Prospective pharmacovigilance aims to rapidly detect safety concerns related to medical products. The exposure model selected for pharmacovigilance impacts the timeliness of signal detection. However, in most real-life pharmacovigilance studies, little is known about which model correctly represents the association and there is no evidence to guide the selection of an exposure model. Different exposure models reflect different aspects of exposure history, and their relevance varies across studies. Therefore, one potential solution is to apply several alternative exposure models simultaneously, with each model assuming a different exposure-risk association, and then combine the model results.

METHODS

We simulated alternative clinically plausible associations between time-varying drug exposure and the hazard of an adverse event. Prospective surveillance was conducted on the simulated data by estimating parametric and semi-parametric exposure-risk models at multiple times during follow-up. For each model separately, and using combined evidence from different subsets of models, we compared the time to signal detection.

RESULTS

Timely detection across the simulated associations was obtained by fitting a set of pharmacovigilance models. This set included alternative parametric models that assumed different exposure-risk associations and flexible models that made no assumptions regarding the form/shape of the association. Times to detection generated using a simple combination of evidence from multiple models were comparable to those observed under the ideal, but unrealistic, scenario where pharmacovigilance relied on the single 'true' model used for data generation.

CONCLUSIONS

Simulation results indicate that, if the true model is not known, an association can be detected in a more timely manner by first fitting a carefully selected set of exposure-risk models and then generating a signal as soon as any of the models considered yields a test statistic value below a predetermined testing threshold.

Risk of Treatment-Emergent Diabetes Mellitus in Patients Receiving Antipsychotics

Background:

Type 2 diabetes mellitus has been reported during antipsychotic treatment.

Objective:

To quantify the potential risk of treatment-emergent diabetes mellitus among patients receiving antipsychotic medications.

Methods:

The MEDLINE and Psychinfo databases were searched using the key words antipsychotic (including individual drug names), diabetes, risk, and incidence for all English-language articles published between 1966 and 2005. Risk calculations were performed using data obtained from pharmacoepidemiologic studies that met the following criteria: (1) cohort design, (2) determination of preexisting diabetes, (3) inclusion of antipsychotic monotherapy as an exposure variable, and (4) comparison with exposure to first-generation antipsychotics. Studies meeting these criteria were used to calculate incidence, attributable risk between agents, and number needed to harm.

Results:

A total of 25 observational pharmacoepidemiologic studies were found comparing antipsychotics on the outcome of diabetes mellitus. Sufficient information was provided in 15 of the reports to be able to estimate attributable risk, Attributable risk for individual second-generation antipsychotics relative to first-generation antipsychotics ranged from 53 more to 46 fewer new cases of diabetes per 1000 patients. Little observable difference was noted between the individual second-generation antipsychotics versus first-generation antipsychotics on this outcome. However, few of the studies controlled for body weight, race or ethnicity, or the presence of diabetogenic medications. None adjusted for familial history of diabetes, levels of physical activity, or diet, as this information is not usually available in the databases used in pharmacoepidemiologic studies.

Conclusions:

Based on the published pharmacoepidemiologic reports reviewed, the avoidance of diabetes as an outcome cannot be predictably achieved with precision by choice of a second- versus a first-generation antipsychotic. Risk management for new-onset diabetes requires the assessment of established risk factors such as family history, advancing age, non-white ethnicity, diet, central obesity, and level of physical activity.

Post authorization safety study comparing quetiapine to risperidone and olanzapine

OBJECTIVES

To compare rates of specific adverse outcomes between patients starting quetiapine, olanzapine, or risperidone use in the Netherlands.

METHODS

Observational study using the PHARMO Database Network, including patients starting quetiapine (4658), olanzapine (5856), or risperidone (7229) in 2000-2009, comparing rates of all-cause mortality, failed suicide attempts, extrapyrimidal symptoms (EPS), diabetes mellitus (DM), hypothyroidism, and acute myocardial infarction (AMI).

KEY FINDINGS

Median follow-up until discontinuation/end of follow-up was 0.6 years. Prescribed doses were generally lower than the approved defined daily doses, especially for quetiapine. Quetiapine was significantly associated with lower EPS rates (HR 0.18; 95% CI 0.13-0.24), but higher failed suicide attempt rates (HR 2.07; 95% CI 1.35-3.16) compared to risperidone. Quetiapine was significantly associated with lower EPS rates (HR 0.59; 95% CI 0.42-0.84) and DM rates (HR 0.66; 95% CI 0.44-0.97) compared to olanzapine. Rates for all-cause mortality, hypothyroidism, and stroke were similar between groups. AMI events were too infrequent to draw conclusions.

CONCLUSIONS

Quetiapine was associated with lower EPS, but higher failed suicide attempt rates compared to risperidone. Quetiapine was associated with lower EPS and DM rates compared to olanzapine. The results should be interpreted with caution because of possible channelling and residual confounding. Copyright © 2016 John Wiley & Sons, Ltd.

A Placebo Controlled Trial on Add-on Modafinil on the Anti-psychotic Treatment Emergent Hyperglycemia and Hyperlipidemia

Modafinil is non stimulant drug which is marketed for mainly Narcolepsy and daytime drowsiness. The clinical experience and Summary of Product Characteristics (SPC) of the drug also mentions Anorexia as one of the side effects. Anorexia can have a direct impact on the carbohydrate and fat intake, which may, in turn, regulate antipsychotic induced dyslipidemia and Hyperglycaemia.

AIM

To compare the effects of Modafinil- ADDON with Placebo add on with olanzapine, Clozapine and Risperidone in drug naive subjects and people who were started on the drugs within 15days of assessment.

MATERIALS AND METHODS

Randomized, Double blind, Placebo controlled study, which was conducted at two centres, one at department of Psychiatry, S.V Medical College, Tirupati and the other at Asha hospitals, Hyderabad. Seventy two patient were randomised, sixty three patients have completed the total study period of three months. The dose of Modafinil was 200 mgs constantly as Flexible doses of Olanzapine, Clozapine and Risperidone as per clinical need was given. A baseline, three week and twelve week assessments of Fasting blood Glucose and fasting Serum cholesterol were made and the groups were compared on these parameters.

RESULTS

From baseline to week 3 there was a significant raise in Fasting serum cholesterol followed by a fall from week 3 to week 12 in the Modafinil addon group, though it could not be considered a drug for hypercholesteremia like Statins in controlling hyperlipidaemia. The implications of these findings were discussed.

Antipsychotics activate the TGFβ pathway effector SMAD3

Although effective in treating an array of neurological disorders, antipsychotics are associated with deleterious metabolic side effects. Through high-throughput screening, we previously identified phenothiazine antipsychotics as modulators of the human insulin promoter. Here, we extended our initial finding to structurally diverse typical and atypical antipsychotics. We then identified the transforming growth factor beta (TGFβ) pathway as being involved in the effect of antipsychotics on the insulin promoter, finding that antipsychotics activated SMAD3, a downstream effector of the TGFβ pathway, through a receptor distinct from the TGFβ receptor family and known neurotransmitter receptor targets of antipsychotics. Of note, antipsychotics that do not cause metabolic side effects did not activate SMAD3. In vivo relevance was demonstrated by reanalysis of gene expression data from human brains treated with antipsychotics, which showed altered expression of SMAD3 responsive genes. This work raises the possibility that antipsychotics could be designed that retain beneficial CNS activity while lacking deleterious metabolic side effects.

Influence of the drug exposure definition on the assessment of the antipsychotic metabolic impact in patients initially treated with mood-stabilizers

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT

• Metabolic disturbances represent a well-known side effect of second generation antipsychotics. However, studies comparing second generation antipsychotic drugs (SGAPs) and first generation antipsychotic drugs (FGAPs) through administrative databases have shown contrasting findings, which may be attributable to methodological differences.

WHAT THIS PAPER ADDS

• The definition of antipsychotic exposure impacts on the association between antipsychotics and metabolic risk in studies carried out through administrative databases. • Considering cumulative exposure to antipsychotics or including patients exposed to an antipsychotic drug for months or years is likely to over-represent patients who tolerate the drug well with a depletion of susceptible effects. • Antipsychotic drug exposure is a time-varying determinant and episodes of no use, past use and current use should be distinguished over the study period to avoid any misclassification bias that might lead to misleading findings.

AIMS

To assess the influence of three definitions of antipsychotic exposure on the comparison between first generation (FGAP) and second generation (SGAP) antipsychotic drugs and 'conventional' mood stabilizers towards the risk of metabolic events using (i) a dichotomous measure (exposed/non-exposed over the follow-up), (ii) a categorical measure taking into account the chronology of exposure at the time of the metabolic event (current, recent and no use) and (iii) a continuous measure (cumulative duration).

METHODS

A historical fixed cohort was identified from the 2004-2006 claims database of the French health insurance programme for self-employed workers, including 3172 patients aged 18 years and over who used conventional mood stabilizers over a 3 month period. A metabolic event was defined as an incident dispensing of an anti-diabetic or lipid-lowering drug.

RESULTS

A metabolic event occurred in 367 patients (11.6%). At least one FGAP had been prescribed in 29% of patients who did not develop a metabolic event and in 22% of patients who developed a metabolic event. In addition, at least one SGAP had been prescribed in 12% of patients who did not develop a metabolic event and in 7% of patients who developed a metabolic event. Compared with conventional mood stabilizers, the risk of a metabolic event was negatively associated with exposure to SGAPs over the follow-up period (HR 0.53, 95% CI 0.34, 0.82, P= 0.004), positively associated with recent, but not current, exposure to SGAPs (HR 2.1, 95% CI 1.2, 3.7, P= 0.006) and not associated with cumulative duration of SGAPs (HR 1.001, 95% CI 0.999, 1.003, P= 0.20).

CONCLUSIONS

The definition of exposure to antipsychotics in epidemiological studies exploring their metabolic impact is of paramount importance in understanding this association. Different definitions can lead to opposite and seemingly nonsensical results. Not taking into account past exposure, in order to minimize the depletion of susceptible effects, may lead to absurd results.

Antipsychotic medication use among children and risk of diabetes mellitus

OBJECTIVE

To assess whether the risk of incident diabetes was increased with the use of second-generation antipsychotics (SGAs) in a large diverse cohort of children.

METHODS

A retrospective study was conducted by using the administrative databases of 3 health plans participating in the Health Maintenance Organization Research Network. Children 5 to 18 years of age who initiated SGA therapy between January 2001 and December 2008 and 2 comparison groups, namely, nonusers of psychotropic drugs and users of antidepressant medications, were identified. Diagnoses from inpatient and outpatient records, pharmacy dispensings, and outpatient laboratory results were used to identify incident cases of diabetes.

RESULTS

The crude incidence rate of diabetes for the SGA-exposed cohort was 3.23 cases per 1000 person-years (95% confidence interval [CI]: 1.67-5.65), compared with 0.76 cases per 1000 person-years (95% CI: 0.49-1.12) among nonusers of psychotropic medications and 1.86 cases per 1000 person-years (95% CI: 1.12-2.90) among antidepressant users. The risk of incident diabetes was significantly increased among SGA users (unadjusted incidence rate ratio: 4.24 [95% CI: 1.95-8.72]) in comparison with nonusers of psychotropic medications but was not significantly increased in comparison with antidepressant medication users (unadjusted incidence rate ratio: 1.74 [95% CI: 0.77-3.78]).

CONCLUSIONS

Although we found a potentially fourfold increased rate of diabetes among children exposed to SGAs, the findings were inconsistent and depended on the comparison group and the outcome definition.

Schizophrenia, cancer and obstetric complications in an evolutionary perspective-an empirically based hypothesis

OBJECTIVE

Patients diagnosed with schizophrenia have reduced fecundity and premature mortality (both accidental and violent) with no obvious compensatory advantages among kin. The prevalence of the disorder is around 0.7/1%, higher than the expected prevalence of spontaneous mutations. Genes favoring schizophrenia may have been positively selected in the environment of evolutionary adaptation. Literature on potential adaptive genes is reviewed within an evolutionary framework.

METHODS

Literature search on major scientific search engine (PubMed/Medline, Ovid/PsychInfo) on papers aimed at investigating potential pathways justifying a mutation-selection balanced model. Findings are presented with a narrative touch to favor readability and understanding.

RESULTS

Reduced incidence of cancer in both patients diagnosed with schizophrenia and their siblings was reported worldwide. Such findings are notable given higher cancer risk factors in schizophrenia, i.e., smoking, alcohol abuse, obesity, poor diet, and poor adherence to therapy. Some genes involved in cancer proliferation might as well confer protective advantage in immune-surveillance, inflammation, vascular proliferation or apoptosis that otherwise will adversely affect early neurodevelopment.

CONCLUSION

Evidence that reduced risk of certain somatic diseases is associated with schizophrenia is quite significant to progress in the evolutionary epidemiological analysis of psychopathology.

Incidence of diabetes in patients with schizophrenia: a population-based study

OBJECTIVE

To detect the incidence of diabetes in patients with schizophrenia in Taiwan.

METHODS

The National Health Research Institute provided a database of 1 million random subjects for study, from which we drew a random sample of 617 068 subjects aged 18 years and older in the year 2000. Subjects who had at least one service claim during this year, with a primary diagnosis of schizophrenia, diabetes, or with a prescription for treatment of diabetes, were identified. We compared initial diagnosis of diabetes between patients with schizophrenia and the general population in 2000. We also followed a cohort of subjects with schizophrenia from 2000 to 2005.

RESULTS

The incidence of diabetes was higher in patients with schizophrenia than in the general population (1.46% and 1.12%, respectively; OR 1.47; 95% CI 1.09 to 1.97) in 2000. Compared with the general population, patients with schizophrenia showed a higher incidence of diabetes in the group aged 18 to 29 years; among females; among those with insurance of more than US$1281; among those living in the northern region; and among those residing in urban areas. The average annual incidence of diabetes in patients with schizophrenia was 1.84% from 2000 to 2005. Higher incidence of diabetes in patients with schizophrenia was associated with increased age, females, hypertension, and hyperlipidemia.

CONCLUSIONS

Patients with schizophrenia had a higher incidence of diabetes for the youngest adult age group and for females than for the general population. Increased age, females, hypertension, and hyperlipidemia were risk factors of diabetes in patients with schizophrenia.

Sex-specific differences in side effects of psychotropic drugs: genes or gender?

Sex differences observed in the adverse effects associated with psychotropic drugs have not been reported consistently in the literature. In this review, we discuss the current published data on sex differences observed in the occurrence, symptomatology and reporting of the adverse effects associated with psychotropic drug effects, and discuss their clinical relevance. We reviewed the published data up to April 2009 on sex differences in the side effects of antipsychotics, antidepressant and mood stabilizers, by systematically searching PubMed using combinations of search terms and retrieving relevant references specifically reporting on these issues. The majority of the data was retrieved from clinical studies where the main outcome parameters did not relate specifically to sex differences. In most instances, sex was associated with other factors influencing side effects such as age, disease and body weight. Sex-related differences were reported in the side effects associated with antipsychotic drug-induced weight gain and metabolic syndrome, symptoms of sexual dysfunction caused by antidepressants and antipsychotic drugs and cardiac arrhythmic side effects associated with antipsychotic drugs. Women might differ from men not only in incidence but also in the presentation of clinical symptoms associated with adverse psychotropic drug effects. Clinicians should be made aware of the differences reported in the literature regarding the symptomatology, severity and recognition of the adverse psychotropic drug effects found in men and women.

Glucose dysregulation among veterans living with schizophrenia-related disorders after switching second-generation antipsychotics

OBJECTIVES

To compare (1) blood glucose and glycosylated hemoglobin (A1C) laboratory results and (2) longitudinal trends in blood glucose levels among veterans switched from one second-generation antipsychotic (SGA) to another.

DESIGN

Retrospective, naturalistic, nonequivalent control group.

SETTING

United States between April 1, 2003, and September 30, 2003.

PATIENTS

1,776 U.S. Veterans Health System beneficiaries living with schizophrenia-related disorders switching (1) from olanzapine to another SGA, (2) to olanzapine from another SGA, and (3) among nonolanzapine SGAs.

INTERVENTION

Data were retrieved from the laboratory results (LAR) database for a maximum of 180 days before and 365 days after the index date.

MAIN OUTCOME MEASURES

Mean blood glucose, A1C, and change in blood glucose.

RESULTS

Blood glucose (36.0 mg/dL, paired t test109 = -4.87, P < 0.001) and A1C (1.0%, paired t143 = -4.84, P < 0.001) declined among veterans switched from olanzapine who were taking a blood glucose-lowering agent before the switch but was unchanged for those who were not. Adjusting for age, gender, and race, addition of the switch-type variables improved prediction of blood glucose change (F-ratio = 3.76, P = 0.03). Linear mixed-effects models confirmed that blood glucose levels declined for veterans switched from olanzapine with glucose dysregulation before the switch (Est(beta2 - beta1) = -34.5 mg/dL, t424 = -5.05, P < 0.001).

CONCLUSION

Blood glucose and A1C were significantly improved among veterans switched from olanzapine with evidence of glucose dysregulation before the switch. They were stable among those without evidence of preexisting glucose dysregulation. Therapeutic switches from one SGA to another should be monitored as a risk factor for changes in glucose regulation.

Physical illness and schizophrenia: a review of the literature

OBJECTIVE

The lifespan of people with schizophrenia is shortened compared to the general population. We reviewed the literature on comorbid physical diseases in schizophrenia to provide a basis for initiatives to fight this unacceptable situation.

METHOD

We searched MEDLINE (1966 - May 2006) combining the MeSH term of schizophrenia with the 23 MeSH terms of general physical disease categories to identify relevant epidemiological studies.

RESULTS

A total of 44 202 abstracts were screened. People with schizophrenia have higher prevalences of HIV infection and hepatitis, osteoporosis, altered pain sensitivity, sexual dysfunction, obstetric complications, cardiovascular diseases, overweight, diabetes, dental problems, and polydipsia than the general population. Rheumatoid arthritis and cancer may occur less frequently than in the general population. Eighty-six per cent of the studies came from industrialized countries limiting the generalizability of the findings.

CONCLUSION

The increased frequency of physical diseases in schizophrenia might be on account of factors related to schizophrenia and its treatment, but undoubtedly also results from the unsatisfactory organization of health services, from the attitudes of medical doctors, and the social stigma ascribed to the schizophrenic patients.

Influence of medication choice and comorbid diabetes: the cost of bipolar disorder in a privately insured US population

BACKGROUND

Bipolar disorder is the most expensive mental disorder for US employer health plans. No published studies have examined the impact of comorbid diabetes on the cost of treating bipolar disorder. The objectives of this work were to determine the direct costs incurred by patients with bipolar disorder in a US managed care plan, and to examine the influence (1) of drug therapy regimen on bipolar-related costs, and (2) of diabetes on bipolar-related and all-cause costs.

METHODS

A retrospective analysis of claims in a US private insurance database from January 1, 1999 through December 31, 2002 was performed. The database included at least 4.7 million enrollees each year. Diagnosis codes were used to identify patients with bipolar disorder; patients with diabetes were identified using diagnosis codes and medication use.

RESULTS

From 1999-2002, treated bipolar disorder was identified in 262 (33.9) [mean (standard deviation)] cases per 100,000 enrollees. Among patients with bipolar disorder in this cohort, between 6.3 and 7.4% were treated for diabetes each year. Among patients with newly treated bipolar disorder, 61.8% received initial therapy with only mood stabilizers, 24.3% received only atypical antipsychotics, and 13.9% received both. Mean all-cause cost for patients with bipolar disorder was US$2,690 in the 6 months before the first bipolar-related claim, and US$6,826 in the following year. Of the latter cost, bipolar-related cost was US$1,272. Patients with comorbid diabetes had much higher all-cause cost (US$11,317) than those without diabetes in the year following the first bipolar-related claim, but only slightly higher bipolar-related cost (US$1,349). Among newly treated bipolar disorder patients, all-cause and bipolar-related cost in the year after diagnosis was lowest in patients receiving only mood stabilizers. Ordinary least squares regression analysis found that treatment with mood stabilizers only was associated with 41% lower bipolar-related cost than treatment with atypical antipsychotics only (P < .001). Significant individual associations were also found between bipolar-related cost and bipolar disorder I diagnosis, severe bipolar disorder and comorbid personality disorders (P < .001 for each) but not comorbid diabetes (P = .27).

CONCLUSIONS

These results suggest that patients with bipolar disorder who receive only mood stabilizer therapy incur lower bipolar-related and all-cause cost than those receiving only atypical antipsychotics. In contrast to that for all-cause cost, comorbid diabetes had little impact on direct costs related to treating bipolar disorder itself.

Olanzapine-induced hyperglycemic ketoacidosis and corresponding acetone concentrations post-mortem: A forensic interpretation

Olanzapine has been shown to cause or have a contributory role in the development of hyperglycemia and diabetes mellitus. Without careful monitoring for the development of these conditions and control of the resulting adverse effects, patients receiving olanzapine may be at risk of developing fatal ketoacidosis. A review of post-mortem toxicological reports has revealed an increase in the incidence of post-mortem findings of acetone in decedents who were taking olanzapine over the past decade. A review of the current literature and a comprehensive review of case histories and toxicological findings were conducted at the Centre of Forensic Sciences (Toronto, Ontario). Olanzapine concentrations ranging from <62.5 to 858 ng/mL and acetone concentrations as high as 95 mg/dL were detected concurrently. Due to the unstable nature of olanzapine, in several instances quantitation was not possible despite elevated responses during qualitative screening procedures. Five cases suggesting olanzapine-induced ketoacidosis were identified based on the case history and toxicological findings. These data have been compiled and examined with respect to acetone concentrations following olanzapine use and the forensic relevance of post-mortem olanzapine and acetone concentrations are discussed.

Quetiapine indication shift in the elderly: diagnosis and dosage in 208 psychogeriatric patients from 2000 to 2006

RATIONALE

Quetiapine was approved in Germany as an atypical antipsychotic for treatment of schizophrenia in 2000, followed by the approval as an antipsychotic for treatment of bipolar mania in 2003. The approval of quetiapine for treatment of bipolar depression is expected. We hypothesized that the psychogeriatric prescription pattern for quetiapine shifts from the psychotic to the affective spectrum.

METHODS

Retrospectively we screened discharge reports of all geriatric inpatients of the psychiatric department of the Ruhr-University of Bochum in the period from January 2001 until March 2006 and identified 208 individual patients aged over 60 years, who had received quetiapine as final medication. Age, gender, daily drug dose, year of treatment and diagnosis (according to ICD-10) were recorded and analyzed.

RESULTS

Over the six-year time span, the proportion of affective disorders (F3) as indication for quetiapine in the elderly increased, whereas the proportion of dementia (F0) as indication for quetiapine decreased significantly. The proportion of schizophrenic disorders (F2) treated with quetiapine did not change significantly.

DISCUSSION

Since the decision of the German Federal Court in 2002 'off label' use goes to the expenses of the prescriber. So the decrease of quetiapine in dementia is probably due to its 'off label' status in dementia. The psychogeriatric indication shift for quetiapine towards affective disorders could be the consequence of good clinical experiences with the drug and growing evidence for its antidepressant effect.

CONCLUSION

In addition to controlled pharmacological trials prospective clinical research is needed to evaluate the prescription attitudes of clinicians.

Second-generation antipsychotics: is there evidence for sex differences in pharmacokinetic and adverse effect profiles?

Six second-generation antipsychotics (SGAs), aripiprazole, clozapine, olanzapine, quetiapine, risperidone and ziprasidone, are currently US FDA approved. The aim of this review is to investigate whether sex differences exist for efficacy and adverse effects of these drugs.Sex-related differences have been shown in the pharmacokinetics of cytochrome P450 (CYP), with a higher activity in females for CYP3A4 and CYP2D6. However, even if there are pharmacokinetic differences between females and males, significantly higher plasma concentrations in women have been demonstrated only for olanzapine and clozapine. To date, sex differences in adverse effects have not been well studied, but some adverse effects such as weight gain, hyperprolactinaemia and cardiac effects are reported to be particularly problematic for women. Most of the studies reviewed indicate that clozapine and olanzapine are associated with greater bodyweight gain than the other atypical antipsychotics, and that serious adverse effects such as metabolic syndrome, which includes increased visceral adiposity, hyperglycaemia, hypertension and dyslipidaemia induced by SGAs, are more frequent in females. According to most studies, the risk for cardiac adverse effects induced by SGAs is the same in male and female patients. Although women are at a lower risk of sudden cardiac death, they have a higher risk of induced long QT syndrome from antiarrhythmic and, probably, antipsychotic drugs. The propensity of sexual dysfunctions is higher with conventional antipsychotics than with SGAs. Additionally, there is some evidence that female sexual dysfunction is associated with high prolactin levels; however, whether the degree of prolactin level elevation is different between female and male patients remains controversial. There is no evidence for sex differences for any of the SGAs to cause a higher rate of extrapyramidal symptoms, acute dystonia or any other movement disturbance. Knowledge of the risks and benefits associated with the use of SGAs during pregnancy and lactation is limited, although the direction of dose adjustments during pregnancy depends on the drug and the enzyme that is responsible for its metabolism. In general, data on sex differences were mostly obtained by posthoc analysis and, therefore, the conclusions that can be drawn are limited. For a better understanding of the basic mechanisms of sex differences, future studies with a primary focus on this topic are required. Data that are more specific will help determine the extent to which these differences will have implications for clinical management.

Epidemiological impact of antidepressant and antipsychotic drugs on the general population

PURPOSE OF REVIEW

To analyse the prevalence of and sex and age distribution associated with antidepressant and antipsychotic drug exposure in the general population and to highlight recent epidemiological findings concerning specific adverse outcomes associated with drug exposure.

RECENT FINDINGS

Epidemiological studies indicate high rates of second-generation antidepressant and antipsychotic drug use in the general population. The use is more prevalent among women than among men, and in older rather than in younger age groups. A new pattern of adverse outcomes has been described in individuals exposed to newer agents, including a possible risk of suicidal acts in adults receiving second-generation antidepressants, the risk of cerebrovascular events in older individuals receiving second-generation antipsychotics and the risk of metabolic disturbances in individuals exposed to specific second-generation antipsychotics.

SUMMARY

The assessment of, and attention to, the development of specific adverse reactions in individuals exposed to second-generation psychotropic drugs may improve treatment outcomes.

Treatment of schizophrenia patients: comparing new-generation antipsychotics to each other

PURPOSE OF REVIEW

Although the debate on whether new antipsychotics have advantages over the old neuroleptics has recently been refueled by the first publication of the Clinical Antipsychotic Trials of Intervention Effectiveness results, one of the new challenges in the pharmacological management of schizophrenia patients is to choose among the new-generation drugs.

RECENT FINDINGS

Earlier work has compared these medications primarily to traditional antipsychotics and until very recently there was little published information on the relative efficacy/safety of new-generation antipsychotics.

SUMMARY

This review covers studies wherein therapeutic effects and adverse events of these drugs in schizophrenia patients were compared in head-to-head studies and that were published in 2005. Information is clearly more homogenous on the safety profile side, while the available evidence still offers little help for the clinicians' daily struggles to find the optimally effective antipsychotic for an individual schizophrenia patient.