Equally increased risk for metabolic syndrome in patients with bipolar disorder and schizophrenia treated with second-generation antipsychotics

Trends in antipsychotic prescribing practices in an urban community mental health clinic

OBJECTIVE

Availability of new psychotropic agents, and formulations, as well as expanded indications for previously available agents, has had an impact on prescribing patterns in community psychiatric practice. This study tracked changes in patient diagnostic profiles and compared antipsychotic prescribing patterns for patients managed by a continuing care team over a 2.25-year period.

METHOD

Data pertaining to patient diagnoses and psychotropic medications was obtained from sequential cross-sectional file review and the pharmacy database. Data were collected in late 2004 (n = 224) and early 2007 (n = 294).

RESULTS

The majority of patients suffered from DSM-IV schizophrenia, schizoaffective and related disorders (68% in 2004, 71% in 2007). Second generation antipsychotic (SGA) medications (79% in 2004, 99% in 2007 of all antipsychotics) were the most widely used agents. Use of quetiapine as a proportion of all oral SGAs increased (8% to 17%) as did that of long-acting risperidone (<1% to 17% of all antipsychotics) paralleled by a decline in long-acting first generation antipsychotic agents (15% to <1%). Significant changes in the prescription of non-benzodiazepine hypnotics and mood stabilizers were also noted.

CONCLUSIONS

Statistically significant changes in prescribing patterns of antipsychotics during the study period were noted. Likely causes are discussed.

Medical comorbidity in bipolar disorder: relationship between illnesses of the endocrine/metabolic system and treatment outcome

OBJECTIVE

The present study examined the relationship between medical burden in bipolar disorder and several indicators of illness severity and outcome. It was hypothesized that illnesses of the endocrine/metabolic system would be associated with greater psychiatric symptom burden and would impact the response to treatment with lithium and valproate.

METHODS

Data were analyzed from two studies evaluating lithium and valproate for rapid-cycling presentations of bipolar I and II disorder. General medical comorbidity was assessed by the Cumulative Illness Rating Scale (CIRS). Descriptive statistics and logistic regression analyses were conducted to explore the relationships between medical burden, body mass index (BMI), substance use disorder status, and depressive symptom severity.

RESULTS

Of 225 patients enrolled, 41.8% had a recent substance use disorder, 50.7% were male, and 69.8% had bipolar I disorder. The mean age of the sample was 36.8 (SD = 10.8) years old. The mean number of comorbid medical disorders per patient was 2.5 (SD = 2.5), and the mean CIRS total score was 4.3 (SD = 3.1). A significant positive correlation was observed between baseline depression severity and the number of organ systems affected by medical illness (p = 0.04). Illnesses of the endocrine/metabolic system were inversely correlated with remission from depressive symptoms (p = 0.02), and obesity was specifically associated with poorer treatment outcome. For every 1-unit increase in BMI, the likelihood of response decreased by 7.5% [odds ratio (OR) = 0.93, 95% confidence interval (CI): 0.87- 0.99; p = 0.02] and the likelihood of remission decreased by 7.3% (OR = 0.93, 95% CI: 0.87-0.99; p = 0.03). The effect of comorbid substance use on the likelihood of response differed significantly according to baseline BMI. The presence of a comorbid substance use disorder resulted in lower odds of response, but only among patients with a BMI > or = 23 (p = 0.02).

CONCLUSION

Among patients with rapid-cycling bipolar disorder receiving lithium and valproate, endocrine/metabolic illnesses, including overweight and obesity, appear to be associated with greater depressive symptom severity and poorer treatment outcomes.

Metabolic effects of second-generation antipsychotics in bipolar youth: comparison with other psychotic and nonpsychotic diagnoses

OBJECTIVES

Despite known metabolic effects of second-generation antipsychotics (SGAs) on children and adolescents, comparative effects in youth with different diagnoses remain underreported. We compared differences in metabolic changes three months after starting treatment with SGAs in youth with bipolar disorder and with other psychotic and nonpsychotic disorders.

METHODS

Weight and metabolic differences among diagnostic groups before and three months after starting treatment with SGAs were compared in a naturalistic cohort of children and adolescents (14.9 +/- 3.0 years) diagnosed with bipolar disorder (n = 31), other psychotic disorders (n = 29), and other nonpsychotic disorders (n = 30), with no (35.6%) or very little (6.6 +/- 9.0 days) previous exposure to antipsychotics. Composite measurements of significant weight gain [weight increase > or = 5% at three months or increase > or = 0.5 in body mass index (BMI) z-score] and 'risk for adverse health outcome' (> or = 95(th) BMI percentile, or > or = 85(th) BMI percentile plus presence of one other obesity-related complication) were included. SGAs (risperidone, olanzapine, and quetiapine) were prescribed in comparable proportion among groups.

RESULTS

Baseline weight and metabolic indices were not significantly different among diagnoses. Three months after starting treatment with SGAs, more than 70% patients had significant weight gain, BMI z-score increased in all diagnostic groups (p < 0.001 for all comparisons), total cholesterol increased in the bipolar (p = 0.02) and psychotic (p = 0.01) disorder groups, low-density lipoprotein cholesterol increased in the bipolar group (p = 0.02), and free T4 decreased in the psychotic disorder group (p = 0.05). More patients with bipolar disorder presented overweight plus > or = 1 obesity-related complication at follow-up.

CONCLUSIONS

There are early weight gain and metabolic changes across diagnoses in youth treated with SGAs.

Functional SNPs in Genes Encoding the 5-HT2A Receptor Modify the Affinity and Potency of Several Atypical Antipsychotic Drugs

Atypical antipsychotic drugs (AADs) are the standard treatment for both the acute and long-term management of schizophrenia and an augmentation to mood stabilizers for bipolar disorder (BD). Yet many individuals who take AADs do not fully respond to them, while others experience side effects that include weight gain and metabolic disorder. This in vitro pharmacogenetic study examined whether allelic variants in the 5-hydroxytryptamine (HT)2A receptor alter the in vitro pharmacology of six AADs (clozapine, olanzapine, risperidone, quetiapine, ziprasidone, and aripiprazole). We selected 4 functional single-nucleotide polymorphisms (SNPs) for investigation (Thr25Asn, Ile197Val, Ala447Val, and His452Tyr), conducted site-directed mutagenesis studies to induce variants into human HEK-293 cell lines, and screened allelic variants for their effects on 5-HT 2A receptors in the cell lines. We conducted numerous binding assays and fluorescence-based assay system (FLEX station) experiments using the six AADs. Our results indicated that three polymorphic 5-HT2A receptors (Ile197Val, Ala447Val, and His452Tyr) exhibited statistically significant, though modest, changes in atypical antipsychotic affinity. In addition, three polymorphic receptors (Thr25Asn, Ile197Val, and His452Try) altered AAD potency. Our findings support in vivo evidence that functional SNPs in genes encoding neuroreceptor drug targets could explain interindividual differences in AAD drug response and tolerability. We suggest that more in vivo pharmacogenetic studies of well-characterized patients who are prescribed AADs be indicated. Future pharmacogenetic studies of well-characterized patients will likely involve tagging SNPs and the use of haplotypes related to other genes encoding neuroreceptor drug targets.

Contributing factors to weight gain during long-term treatment with second-generation antipsychotics. A systematic appraisal and clinical implications

The increased rates of both overweight and obesity reported in severely mentally-ill patients are prevalently due to the use of second-generation antipsychotics (SGAs). Hence, the main purpose of this article is to analyze systematically potential patient- and drug-related factors which may increase the risk of weight gain during long-term treatment with such medications. Literature information published in English since 1966 and last updated on 17 January 2009 was identified through different databases and using various combinations of search terms. Searches provided 242 articles, whereas 6 additional references were identified manually. Peer-reviewed articles focusing on the risk of weight gain during SGA-chronic treatment (at least 52 weeks, N = 81) were acquired. Data were extracted from the 39 peer-reviewed articles which investigated factors potentially associated with an increased risk of this event. Evidence-based information suggests that a number of factors, either patient- (age, baseline BMI/bodyweight, recent onset of psychotic episodes, need of concomitant psychotropic medications) or drug-specific (relative receptorial affinity, timing of weight changes plateau, daily dose, iatrogenic concomitant changes in biochemical metabolic parameters) may contribute to increase either rates and/or magnitude of this effect during long-term treatments with specific SGAs. All contributors and their relationship with specific drugs should be taken into consideration when designing a long-term therapy with SGAs. Among the best studied agents (clozapine, olanzapine, and risperidone) of this class, the latter seems to be the most susceptible drug to the amplifying effects of both patient- and drug-related factors on the risk of inducing weight changes during chronic treatments.

Cardiovascular disease and diabetes in people with severe mental illness position statement from the European Psychiatric Association (EPA), supported by the European Association for the Study of Diabetes (EASD) and the European Society of Cardiology (ESC)

People with severe mental illnesses, such as schizophrenia, depression or bipolar disorder, have worse physical health and reduced life expectancy compared to the general population. The excess cardiovascular mortality associated with schizophrenia and bipolar disorder is attributed in part to an increased risk of the modifiable coronary heart disease risk factors; obesity, smoking, diabetes, hypertension and dyslipidaemia. Antipsychotic medication and possibly other psychotropic medication like antidepressants can induce weight gain or worsen other metabolic cardiovascular risk factors. Patients may have limited access to general healthcare with less opportunity for cardiovascular risk screening and prevention than would be expected in a non-psychiatric population. The European Psychiatric Association (EPA), supported by the European Association for the Study of Diabetes (EASD) and the European Society of Cardiology (ESC) published this statement with the aim of improving the care of patients suffering from severe mental illness. The intention is to initiate cooperation and shared care between the different healthcare professionals and to increase the awareness of psychiatrists and primary care physicians caring for patients with severe mental illness to screen and treat cardiovascular risk factors and diabetes.

Cardiovascular risk in patients with bipolar disorder

BACKGROUND

To date, little is known about cardiovascular risk (CVR) in terms of coronary heart disease (CHD) and cardiovascular mortality risk (CMR) in patients with bipolar disorder. This study provides data on the overall risk of any fatal or non-fatal coronary heart disease (CHD) and on the cardiovascular mortality risk (CMR) within 10 years in these patients.

METHODS

Naturalistic, cross-sectional, multicenter study conducted in Spain. Patients were evaluated for cardiovascular risk using the Framinghan function (CHD) and the Systematic COronary Risk Evaluation (SCORE) function (CMR).

RESULTS

The mean age was 46.6 years and 49% were male. Forty-six percent were in remission. Ten-year CHD risk was 7.6% (males 10.2% versus females 4.7%, p<0.001) and 10-year CMR was 1.8% (males 2.2% versus females 1.3%, p 0.161). Fifty-one percent smoked and 34% was obese. Metabolic syndrome was present in 22.4% of the sample (35.6% according to AHA and NHLBI criteria). Cardiovascular risk significantly increases with age, body mass index and presence of metabolic syndrome.

LIMITATIONS

The cross-sectional design of the study.

CONCLUSIONS

Cardiovascular risk is high in patients with bipolar disorder. It is associated with age, body mass index and metabolic syndrome. Psychiatrists should be aware of this issue and carefully monitor these patients for cardiovascular risk factors, including cigarette smoking, as part of the standard of care when treating them.