Diabetes and schizophrenia - effect of disease or drug? Results from a randomized, double-blind, controlled prospective study in first-episode schizophrenia

Haloperidol (oral) versus olanzapine (oral) for people with schizophrenia and schizophrenia-spectrum disorders

BACKGROUND

Schizophrenia is often a severe and disabling psychiatric disorder. Antipsychotics remain the mainstay of psychotropic treatment for people with psychosis. In limited resource and humanitarian contexts, it is key to have several options for beneficial, low-cost antipsychotics, which require minimal monitoring. We wanted to compare oral haloperidol, as one of the most available antipsychotics in these settings, with a second-generation antipsychotic, olanzapine.

OBJECTIVES

To assess the clinical benefits and harms of haloperidol compared to olanzapine for people with schizophrenia and schizophrenia-spectrum disorders.

SEARCH METHODS

We searched the Cochrane Schizophrenia study-based register of trials, which is based on monthly searches of CENTRAL, CINAHL, ClinicalTrials.gov, Embase, ISRCTN, MEDLINE, PsycINFO, PubMed and WHO ICTRP. We screened the references of all included studies. We contacted relevant authors of trials for additional information where clarification was required or where data were incomplete. The register was last searched on 14 January 2023.

SELECTION CRITERIA

Randomised clinical trials comparing haloperidol with olanzapine for people with schizophrenia and schizophrenia-spectrum disorders. Our main outcomes of interest were clinically important change in global state, relapse, clinically important change in mental state, extrapyramidal side effects, weight increase, clinically important change in quality of life and leaving the study early due to adverse effects.

DATA COLLECTION AND ANALYSIS

We independently evaluated and extracted data. For dichotomous outcomes, we calculated risk ratios (RR) and their 95% confidence intervals (CI) and the number needed to treat for an additional beneficial or harmful outcome (NNTB or NNTH) with 95% CI. For continuous data, we estimated mean differences (MD) or standardised mean differences (SMD) with 95% CIs. For all included studies, we assessed risk of bias (RoB 1) and we used the GRADE approach to create a summary of findings table.

MAIN RESULTS

We included 68 studies randomising 9132 participants. We are very uncertain whether there is a difference between haloperidol and olanzapine in clinically important change in global state (RR 0.84, 95% CI 0.69 to 1.02; 6 studies, 3078 participants; very low-certainty evidence). We are very uncertain whether there is a difference between haloperidol and olanzapine in relapse (RR 1.42, 95% CI 1.00 to 2.02; 7 studies, 1499 participants; very low-certainty evidence). Haloperidol may reduce the incidence of clinically important change in overall mental state compared to olanzapine (RR 0.70, 95% CI 0.60 to 0.81; 13 studies, 1210 participants; low-certainty evidence). For every eight people treated with haloperidol instead of olanzapine, one fewer person would experience this improvement. The evidence suggests that haloperidol may result in a large increase in extrapyramidal side effects compared to olanzapine (RR 3.38, 95% CI 2.28 to 5.02; 14 studies, 3290 participants; low-certainty evidence). For every three people treated with haloperidol instead of olanzapine, one additional person would experience extrapyramidal side effects. For weight gain, the evidence suggests that there may be a large reduction in the risk with haloperidol compared to olanzapine (RR 0.47, 95% CI 0.35 to 0.61; 18 studies, 4302 participants; low-certainty evidence). For every 10 people treated with haloperidol instead of olanzapine, one fewer person would experience weight increase. A single study suggests that haloperidol may reduce the incidence of clinically important change in quality of life compared to olanzapine (RR 0.72, 95% CI 0.57 to 0.91; 828 participants; low-certainty evidence). For every nine people treated with haloperidol instead of olanzapine, one fewer person would experience clinically important improvement in quality of life. Haloperidol may result in an increase in the incidence of leaving the study early due to adverse effects compared to olanzapine (RR 1.99, 95% CI 1.60 to 2.47; 21 studies, 5047 participants; low-certainty evidence). For every 22 people treated with haloperidol instead of olanzapine, one fewer person would experience this outcome. Thirty otherwise relevant studies and several endpoints from 14 included studies could not be evaluated due to inconsistencies and poor transparency of several parameters. Furthermore, even within studies that were included, it was often not possible to use data for the same reasons. Risk of bias differed substantially for different outcomes and the certainty of the evidence ranged from very low to low. The most common risks of bias leading to downgrading of the evidence were blinding (performance bias) and selective reporting (reporting bias).

AUTHORS' CONCLUSIONS

Overall, the certainty of the evidence was low to very low for the main outcomes in this review, making it difficult to draw reliable conclusions. We are very uncertain whether there is a difference between haloperidol and olanzapine in terms of clinically important global state and relapse. Olanzapine may result in a slightly greater overall clinically important change in mental state and in a clinically important change in quality of life. Different side effect profiles were noted: haloperidol may result in a large increase in extrapyramidal side effects and olanzapine in a large increase in weight gain. The drug of choice needs to take into account side effect profiles and the preferences of the individual. These findings and the recent inclusion of olanzapine alongside haloperidol in the WHO Model List of Essential Medicines should increase the likelihood of it becoming more easily available in low- and middle- income countries, thereby improving choice and providing a greater ability to respond to side effects for people with lived experience of schizophrenia. There is a need for additional research using appropriate and equivalent dosages of these drugs. Some of this research needs to be done in low- and middle-income settings and should actively seek to account for factors relevant to these. Research on antipsychotics needs to be person-centred and prioritise factors that are of interest to people with lived experience of schizophrenia.

Prevalence and clinical correlates of impaired glucose tolerance in first-episode versus chronic patients with schizophrenia

AIM

Studies using oral glucose tolerance tests (OGTT) have shown that impaired glucose metabolism presents in the early stages of schizophrenia (SCZ). However, there is a lack of studies on changes in glucose metabolism with the stage of the disease. We first explored the features of glucose metabolic pattern at different phases of male SCZ.

METHODS

We recruited 83 male first episode drug-naïve patients with SCZ (FEDN-SCZ) and 64 male chronic patients with SCZ (CH-SCZ), as well as 14 male healthy controls. The Positive and Negative Syndrome Scale (PANSS) was used to assess the psychopathology of patients. OGTT, fasting plasma glucose and lipid profiles of all participants were examined.

RESULTS

While the impaired glucose tolerance (IGT) rate of male SCZ patients was higher than that of HC (P < .05), there was no difference in IGT prevalence between FEDN-SCZ and CH-SCZ. In male FEDN-SCZ, LDL (OR = 2.64, 95% CI = 1.11-6.29, P = .028) and PANSS total score (OR = 1.03, 95% CI = 1.00-1.06, P = .046) were positively correlated with IGT; in male CH-SCZ, BMI (OR = 1.7, 95% CI = 1.08-2.67, P = .023), PANSS total score (OR = 0.82, 95% CI = 0.70-0.96, P = .015) and positive symptoms (OR = 0.45, 95% CI = 0.20-0.99, P = .046) were significantly correlated with IGT.

CONCLUSIONS

Our findings reflect different glucose metabolism patterns in different stages of SCZ.

Assessing cardiometabolic parameter monitoring in inpatients taking a second-generation antipsychotic: The CAMI-SGA study - a cross-sectional study

OBJECTIVES

This study aims to determine the proportion of initial cardiometabolic assessment and its predicting factors in adults with schizophrenia, bipolar disorder or other related diagnoses for whom a second-generation antipsychotic was prescribed in the hospital setting.

DESIGN

Cross-sectional study.

SETTING

The psychiatry unit of a Canadian tertiary care teaching hospital in Montreal, Canada.

PARTICIPANTS

402 patients with aforementioned disorders who initiated, restarted or switched to one of the following antipsychotics: clozapine, olanzapine, risperidone, paliperidone or quetiapine, between 2013 and 2016.

PRIMARY OUTCOME MEASURES

We assessed the proportion of cardiometabolic parameters monitored.

SECONDARY OUTCOME MEASURES

We identified predictors that influence the monitoring of cardiometabolic parameters and we assessed the proportion of adequate interventions following the screening of uncontrolled blood pressure and fasting glucose or glycated haemoglobin (HbA1c) results.

RESULTS

Only 37.3% of patients received monitoring for at least three cardiometabolic parameters. Blood pressure was assessed in 99.8% of patients; lipid profile in 24.4%; fasting glucose or HbA1c in 33.3% and weight or body mass index in 97.8% of patients while waist circumference was assessed in 4.5% of patients. For patients with abnormal blood pressure and glycaemic values, 42.3% and 41.2% subsequent interventions were done, respectively. The study highlighted the psychiatric diagnosis (substance induced disorder OR 0.06 95% CI 0.00 to 0.44), the presence of a court-ordered treatment (OR 0.79 95% CI 0.35 to 1.79) and the treating psychiatrist (up to OR 34.0 95% CI 16.2 to 140.7) as predictors of cardiometabolic monitoring.

CONCLUSIONS

This study reports suboptimal baseline cardiometabolic monitoring of patients taking an antipsychotic in a Canadian hospital. Optimising collaboration within a multidisciplinary team may increase cardiometabolic monitoring.

Interventions for preventing type 2 diabetes in adults with mental disorders in low- and middle-income countries

BACKGROUND

The prevalence of type 2 diabetes is increased in individuals with mental disorders. Much of the burden of disease falls on the populations of low- and middle-income countries (LMICs).

OBJECTIVES

To assess the effects of pharmacological, behaviour change, and organisational interventions versus active and non-active comparators in the prevention or delay of type 2 diabetes among people with mental illness in LMICs.

SEARCH METHODS

We searched the Cochrane Common Mental Disorders Controlled Trials Register, CENTRAL, MEDLINE, Embase and six other databases, as well as three international trials registries. We also searched conference proceedings and checked the reference lists of relevant systematic reviews. Searches are current up to 20 February 2020.

SELECTION CRITERIA

Randomized controlled trials (RCTs) of pharmacological, behavioural or organisational interventions targeting the prevention or delay of type 2 diabetes in adults with mental disorders in LMICs.

DATA COLLECTION AND ANALYSIS

Pairs of review authors working independently performed data extraction and risk of bias assessments. We conducted meta-analyses using random-effects models.

MAIN RESULTS

One hospital-based RCT with 150 participants (99 participants with schizophrenia) addressed our review's primary outcome of prevention or delay of type 2 diabetes onset. Low-certainty evidence from this study did not show a difference between atypical and typical antipsychotics in the development of diabetes at six weeks (risk ratio (RR) 0.46, 95% confidence interval (CI) 0.03 to 7.05) (among a total 99 participants with schizophrenia, 68 were in atypical and 31 were in typical antipsychotic groups; 55 participants without mental illness were not considered in the analysis). An additional 29 RCTs with 2481 participants assessed one or more of the review's secondary outcomes. All studies were conducted in hospital settings and reported on pharmacological interventions. One study, which we could not include in our meta-analysis, included an intervention with pharmacological and behaviour change components. We identified no studies of organisational interventions. Low- to moderate-certainty evidence suggests there may be no difference between the use of atypical and typical antipsychotics for the outcomes of drop-outs from care (RR 1.31, 95% CI 0.63 to 2.69; two studies with 144 participants), and fasting blood glucose levels (mean difference (MD) 0.05 lower, 95% CI 0.10 to 0.00; two studies with 211 participants). Participants who receive typical antipsychotics may have a lower body mass index (BMI) at follow-up than participants who receive atypical antipsychotics (MD 0.57, 95% CI 0.33 to 0.81; two studies with 141 participants; moderate certainty of evidence), and may have lower total cholesterol levels eight weeks after starting treatment (MD 0.35, 95% CI 0.27 to 0.43; one study with 112 participants). There was moderate certainty evidence suggesting no difference between the use of metformin and placebo for the outcomes of drop-outs from care (RR 1.22, 95% CI 0.09 to 16.35; three studies with 158 participants). There was moderate-to-high certainty evidence of no difference between metformin and placebo for fasting blood glucose levels (endpoint data: MD -0.35, 95% CI -0.60 to -0.11; change from baseline data: MD 0.01, 95% CI -0.21 to 0.22; five studies with 264 participants). There was high certainty evidence that BMI was lower for participants receiving metformin compared with those receiving a placebo (MD -1.37, 95% CI -2.04 to -0.70; five studies with 264 participants; high certainty of evidence). There was no difference between metformin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Low-certainty evidence from one study (48 participants) suggests there may be no difference between the use of melatonin and placebo for the outcome of drop-outs from care (RR 1.00, 95% CI 0.38 to 2.66). Fasting blood glucose is probably reduced more in participants treated with melatonin compared with placebo (endpoint data: MD -0.17, 95% CI -0.35 to 0.01; change from baseline data: MD -0.24, 95% CI -0.39 to -0.09; three studies with 202 participants, moderate-certainty evidence). There was no difference between melatonin and placebo for the outcomes of waist circumference, blood pressure and cholesterol levels. Very low-certainty evidence from one study (25 participants) suggests that drop-outs may be higher in participants treated with a tricyclic antidepressant (TCA) compared with those receiving a selective serotonin reuptake inhibitor (SSRI) (RR 0.34, 95% CI 0.11 to 1.01). It is uncertain if there is no difference in fasting blood glucose levels between these groups (MD -0.39, 95% CI -0.88 to 0.10; three studies with 141 participants, moderate-certainty evidence). It is uncertain if there is no difference in BMI and depression between the TCA and SSRI antidepressant groups.

AUTHORS' CONCLUSIONS

Only one study reported data on our primary outcome of interest, providing low-certainty evidence that there may be no difference in risk between atypical and typical antipsychotics for the outcome of developing type 2 diabetes. We are therefore not able to draw conclusions on the prevention of type 2 diabetes in people with mental disorders in LMICs. For studies reporting on secondary outcomes, there was evidence of risk of bias in the results. There is a need for further studies with participants from LMICs with mental disorders, particularly on behaviour change and on organisational interventions targeting prevention of type 2 diabetes in these populations.

Lurasidone and risk for metabolic syndrome: results from short- and long-term clinical studies in patients with schizophrenia

OBJECTIVE

To assess the effects of treatment with lurasidone on risk for metabolic syndrome (MetS) in patients with schizophrenia.

METHODS

Rates of metabolic syndrome during treatment with lurasidone (40-160 mg/d) were analyzed using pooled, short-term data from three randomized, double-blind, placebo-controlled studies (vs olanzapine and quetiapine XR); long-term data from two active-comparator-controlled studies (vs risperidone and quetiapine XR); and data from two open-label studies in which patients were switched from olanzapine or risperidone to lurasidone.

RESULTS

MetS was defined based on the National Cholesterol Education Program criteria. In short-term studies, the odds of meeting criteria for MetS at week 6 LOCF (adjusted for baseline metabolic syndrome status) was similar for the lurasidone and placebo groups (OR = 1.18; [95% CI, 0.81-1.71]; P = .39), but the odds (vs placebo) were significantly greater for olanzapine (OR = 2.81; [95% CI, 1.53-5.15]; P < .001) and quetiapine (OR = 3.49; [95% CI, 1.93-6.29]; P < .0001). No dose effect was observed for lurasidone across the dose range of 40-160 mg/d. In long-term studies, the odds of MetS after 12 months of treatment was significantly higher for risperidone compared with lurasidone (OR = 2.12; 95% CI, 1.15-3.90; P = .016) and for quetiapine XR compared with lurasidone (OR = 3.92; 95% CI, 1.15-13.40; P = .029). In open-label extension studies, the rate of MetS decreased in patients switched to lurasidone after 6 weeks of treatment with olanzapine or 12 months of treatment with risperidone.

CONCLUSION

In this analysis of lurasidone clinical trials, the odds of developing metabolic syndrome were minimal during short- and long-term treatment with lurasidone (40-160 mg/d).

Type-2 diabetes mellitus in schizophrenia: Increased prevalence and major risk factor of excess mortality in a naturalistic 7-year follow-up

Objective

Physical co-morbidity including type 2 diabetes mellitus is more prevalent in patients with schizophrenia compared to the general population. However, there is little consistent evidence that co-morbidity with diabetes mellitus and/or other diseases leads to excess mortality in schizophrenia. Thus, we investigated whether co-morbidity with diabetes and other somatic diseases is increased in schizophrenics, and if these are equally or more relevant predictors of mortality in schizophrenia than in age- and gender-matched hospitalised controls.

Methods

During 2000–2007, 679 patients with schizophrenia were admitted to University Hospital Birmingham NHS Trust. Co-morbidities were compared with 88,778 age- and gender group-matched hospital controls. Predictors of mortality were identified using forward Cox regression models.

Results

The prevalence of type 2 diabetes mellitus was increased in schizophrenia compared to hospitalised controls (11.3% versus 6.3%). The initial prevalence of type 2 diabetes mellitus was significantly higher in the 100 later deceased schizophrenic patients (24.0%) than in those 579 surviving over 7 years (9.2%). Predictors of mortality in schizophrenia were found to be age (relative risk [RR] = 1.1/year), type 2 diabetes mellitus (RR = 2.2), pneumonia (RR = 2.7), heart failure (RR = 2.9) and chronic renal failure (RR = 3.2). The impact of diabetes mellitus on mortality was significantly higher in schizophrenia than in hospital controls (RR = 2.2 versus RR = 1.1). In agreement, deceased schizophrenics had significantly suffered more diabetes mellitus than deceased controls (24.0 versus 10.5%). The relative risks of mortality for other disorders and their prevalence in later deceased subjects did not significantly differ between schizophrenia and controls.

Conclusion

Schizophrenics have more and additionally suffer more from diabetes: co-morbidity with diabetes mellitus is increased in schizophrenia in comparison with hospital controls; type 2 diabetes mellitus causes significant excess mortality in schizophrenia. Thus, monitoring for and prevention of type 2 diabetes mellitus is of utmost relevance in hospitalised patients with schizophrenia.

The Relative Risk of Developing Type 2 Diabetes Mellitus in Young Adults with Schizophrenia Treated with Different Atypical Antipsychotic

Background and aim: While the link between antipsychotic treatment and metabolic adverse events, including type 2 diabetes mellitus (T2DM) are clear in adults with schizophrenia, in young this association is not so well studied although the use of secondgeneration antipsychotics (SGA) is more and more frequent.

Material and methods: The local diabetes register was compared with the list of all registered young adults (18-35 years) with schizophrenia 2 years retrospective and 2 years prospective. Cumulative incidence, rate of incidence and relative risk was calculated knowing the number of persons in this age group within this region.

Results: Cumulative incidence for exposed group was 0.7% with a rate of incidence of 6.27 (95%CI: 4.1-10.5) per 1,000 patientyears, when in normal population was 0.2%, respectively 2.01 (95%CI: 0.72-3.79). This means a relative risk of 3.4736 (95%CI: 1.79-6.72), p=0.0002 and NNH=202 (95%CI: 134-404). Multivariate analysis showed that gender male (OR=1.83; 95%CI: 0.9-2.7; p=0.002) and olanzapine prescription (OR=4.76; 95%CI: 1.7-7.7; p=0.0001) were independent risk factors for T2DM.

Conclusions: The metabolic risk should be taken in account every time introducing or changing a SGA in young schizophrenic patient, balancing the benefits and negative metabolic effects (especially with olanzapine). Healthy nutrition and physical activities are necessary components of these patients lifestyle to avoid early onset of T2DM.

Glucose metabolism dysregulation at the onset of mental illness is not limited to first episode psychosis: A systematic review and meta-analysis

AIM

To compare the differences of glucose metabolism outcomes between treatment-naïve, patients with first episode psychosis (FEP) and mood disorders.

METHODS

We conducted a systematic review and meta-analysis of glucose intolerance in treatment-naïve, first episode patients with severe mental illnesses (SMIs).

RESULTS

We identified 31 eligible studies. Compared to healthy controls, FEP group have higher insulin and insulin resistance levels, and both groups have higher glucose tolerance test results. No significant differences were found in glucose metabolism outcomes between FEP and mood disorder groups.

CONCLUSIONS

Our results highlight impaired glucose metabolism at the onset of SMIs, suggesting both patients with psychosis and mood disorders are high-risk groups for diabetes development.

Second-generation antipsychotic medications and risk of chronic kidney disease in schizophrenia: population-based nested case-control study

OBJECTIVES

The study aims to compare the risk of chronic kidney diseases (CKDs) between patients with schizophrenia using first and second-generation antipsychotics.

SETTING

Datasets of 2000-2013 National Health Insurance in Taiwan were used.

PARTICIPANTS

The National Health Insurance reimbursement claims data have been transferred to and managed by the National Health Research Institute in Taiwan since 1996. We used the Psychiatric Inpatient Medical Claims database, a subset of the National Health Insurance Research Database, comprising a cohort of patients hospitalised for psychiatric disorders between 2000 and 2013 (n=2 67 807). The database included patients with at least one psychiatric inpatient record and one discharge diagnosis of mental disorders coded by the International Classification of Diseases, Ninth Revision (ICD-9) codes 290-319. The age of patients at first admission was restricted to 18-65 years.

PRIMARY OUTCOME

CKD (ICD-9 code 582, 583, 585, 586, 588) requiring hospitalisation or three outpatient visits. The diagnosis of CKD follows the criteria of 'Kidney Disease: Improving Global Outcomes' in Taiwan. CKD is defined as a kidney damage as albumin-to-creatinine ratio >30 mg/g in two of three spot urine specimens or glomerular filtration rate <60 mL/min/1.73 m² for 3 months or more.

RESULTS

We found that the risks for CKD were higher for those who used second-generation antipsychotics (SGAs) longer cumulatively than those who did not. Using non-users, patients did not have any SGA records, as reference group, the risks for CKD comparing those using SGAs for 90 to 180 days with non-users and those using SGAs for more than 1000 days were 1.42 (1.06-1.91) and 1.30 (1.13-1.51), respectively.

CONCLUSIONS

The current study suggests the relationship between using SGAs and risk of CKD.

Time-dependent changes and potential mechanisms of glucose-lipid metabolic disorders associated with chronic clozapine or olanzapine treatment in rats

Chronic treatment with second-generation antipsychotic drugs (SGAs) has been associated with an increased risk of metabolic syndrome. To evaluate the longitudinal changes in glucose-lipid homeostasis after SGA use, we studied the time-dependent effects of olanzapine (OLZ) (3 mg/kg, b.i.d.) or clozapine (CLZ) (20 mg/kg, b.i.d.) treatment on metabolic profiles for 9 weeks in rats. Although only OLZ significantly increased body weight in rats, both OLZ and CLZ elevated blood lipid levels. Chronic OLZ treatment induced significant weight gain leading to a higher fasting insulin level and impaired glucose tolerance, whereas CLZ lowered fasting insulin levels and impaired glucose tolerance independent of weight gain. Treatment with both drugs deranged AKT/GSK phosphorylation and up-regulated muscarinic M3 receptors in the rats’ livers. Consistent with an elevation in lipid levels, both OLZ and CLZ significantly increased the protein levels of nuclear sterol regulatory element-binding proteins (SREBPs) in the liver, which was associated with improvement in hepatic histamine H1R. However, enhanced carbohydrate response element binding protein (ChREBP) signalling was observed in only CLZ-treated rats. These results suggest that SGA-induced glucose-lipid metabolic disturbances could be independent of weight gain, possibly through activation of SREBP/ChREBP in the liver.

Impaired Glucose Homeostasis in First-Episode Schizophrenia: A Systematic Review and Meta-analysis

IMPORTANCE

Schizophrenia is associated with an increased risk of type 2 diabetes. However, it is not clear whether schizophrenia confers an inherent risk for glucose dysregulation in the absence of the effects of chronic illness and long-term treatment.

OBJECTIVE

To conduct a meta-analysis examining whether individuals with first-episode schizophrenia already exhibit alterations in glucose homeostasis compared with controls.

DATA SOURCES

The EMBASE, MEDLINE, and PsycINFO databases were systematically searched for studies examining measures of glucose homeostasis in antipsychotic-naive individuals with first-episode schizophrenia compared with individuals serving as controls.

STUDY SELECTION

Case-control studies reporting on fasting plasma glucose levels, plasma glucose levels after an oral glucose tolerance test, fasting plasma insulin levels, insulin resistance, and hemoglobin A1c (HbA1c) levels in first-episode antipsychotic-naive individuals with first-episode schizophrenia compared with healthy individuals serving as controls. Two independent investigators selected the studies.

DATA EXTRACTION

Two independent investigators extracted study-level data for a random-effects meta-analysis. Standardized mean differences in fasting plasma glucose levels, plasma glucose levels after an oral glucose tolerance test, fasting plasma insulin levels, insulin resistance, and HbA1c levels were calculated. Sensitivity analyses examining the effect of body mass index, diet and exercise, race/ethnicity, and minimal (≤2 weeks) antipsychotic exposure were performed.

DATA SYNTHESIS

Of 3660 citations retrieved, 16 case-control studies comprising 15 samples met inclusion criteria. The overall sample included 731 patients and 614 controls. Fasting plasma glucose levels (Hedges g = 0.20; 95% CI, 0.02 to 0.38; P = .03), plasma glucose levels after an oral glucose tolerance test (Hedges g = 0.61; 95% CI, 0.16 to 1.05; P = .007), fasting plasma insulin levels (Hedges g = 0.41; 95% CI, 0.09 to 0.72; P = .01), and insulin resistance (homeostatic model assessment of insulin resistance) (Hedges g = 0.35; 95% CI, 0.14 to 0.55; P = .001) were all significantly elevated in patients compared with controls. However, HbA1c levels (Hedges g = -0.08; CI, -0.34 to 0.18; P = .55) were not altered in patients compared with controls.

CONCLUSIONS AND RELEVANCE

These findings show that glucose homeostasis is altered from illness onset in schizophrenia, indicating that patients are at increased risk of diabetes as a result. This finding has implications for the monitoring and treatment choice for patients with schizophrenia.

Meta-analysis of glucose tolerance, insulin, and insulin resistance in antipsychotic-naïve patients with nonaffective psychosis

BACKGROUND

Some studies have suggested that antipsychotic-naïve patients with nonaffective psychosis (NAP) have glucose intolerance.

AIMS

To conduct a systematic review and meta-analysis of fasting glucose (FG), two hour values in the oral glucose tolerance test (2HG), fasting insulin concentration (INS), and insulin resistance (IR).

METHOD

We identified possibly relevant studies, then selected studies, following usual guidelines, with two authors reviewing the manuscripts. We required studies to include subjects with nonaffective psychosis and control subjects.

RESULTS

There were 911 patients and 870 control subjects in the analysis of FG; their average ages were respectively 28.7 and 29.5years. Significant differences were found for all four variables, with effect size estimates ranging from 0.21 to 0.58.

CONCLUSIONS

As a group, at the time of first clinical contact for psychosis, people with NAP have a slight increase in FG, which most of them maintain in the normal range despite a small increase in IR by secreting additional INS. When faced with a physiological challenge such as a glucose tolerance test or antipsychotics, they are no longer able to maintain a normal glucose concentration.

Participative mental health consumer research for improving physical health care: An integrative review

People with mental illness have a significantly lower life expectancy and higher rates of chronic physical illnesses than the general population. Health care system reform to improve access and quality is greatly needed to address this inequity. The inclusion of consumers of mental health services as co-investigators in research is likely to enhance service reform. In light of this, the current paper reviews mental health consumer focussed research conducted to date, addressing the neglect of physical health in mental health care and initiatives with the aim of improving physical health care. The international literature on physical healthcare in the context of mental health services was searched for articles, including mental health consumers in research roles, via Medline, CINAHL and Google Scholar, in October 2015. Four studies where mental health consumers participated as researchers were identified. Three studies involved qualitative research on barriers and facilitators to physical health care access, and a fourth study on developing technologies for more effective communication between GPs and patients. This review found that participatory mental health consumer research in physical health care reform has only become visible in the academic literature in 2015. Heightened consideration of mental health consumer participation in research is required by health care providers and researchers. Mental health nurses can provide leadership in increasing mental health consumer research on integrated care directed towards reducing the health gap between people with and without mental illness.

Detecting and Managing Adverse Effects of Antipsychotic Medications: Current State of Play

Antipsychotics are some of the most frequently prescribed medications not only for psychotic disorders and symptoms but also for a wide range of on-label and off-label indications. Because second-generation antipsychotics have largely replaced first-generation antipsychotics as first-line options due to their substantially decreased risk of extrapyramidal side effects, attention has shifted to other clinically concerning adverse events associated with antipsychotic therapy. The focus of this article is to update the nonextrapyramidal side effects associated with second-generation antipsychotics. Issues surrounding diagnosis and monitoring as well as clinical management are addressed.

Abnormal glycemic homeostasis at the onset of serious mental illnesses: A common pathway

OBJECTIVE

Patients with serious mental illnesses exhibit a reduced lifespan compared with the general population, a finding that can not solely rely on high suicide risk, low access to medical care and unhealthy lifestyle. The main causes of death are medical related pathologies such as type 2 diabetes mellitus and cardiovascular disease; however pharmacological treatment might play a role.

MATERIAL AND METHODS

We compared a two hour glucose load in naïve patients at the onset of a serious mental illness (N=102) (84 patients with a first episode of schizophrenia and related disorders, 6 with a first episode of bipolar I disorder and 12 with a first episode of major depression disorder) with another psychiatric diagnose, adjustment disorder (N=17) and matched controls (N=98).

RESULTS

Young patients with serious mental illness showed an increased two hour glucose load compared with adjustment disorder and the control group. Mean two hour glucose values [±standard deviation] were: for schizophrenia and related disorders 106.51mg/dL [±32.0], for bipolar disorder 118.33mg/dL [±34.3], for major depressive disorder 107.42mg/dL [±34.5], for adjustment disorder 79.06mg/dL[±24.4] and for the control group 82.11mg/dL [±23.3] (p<0.001).

CONCLUSIONS

Our results reflect an abnormal metabolic pathway at the onset of the disease before any pharmacological treatment or other confounding factors might have taken place. Our results suggest a similar glycemic pathway in serious mental illnesses and the subsequent need of primary and secondary prevention strategies.

[Metabolic Control, Evaluation and Follow-up Interventions in Patients With Schizophrenia]

OBJECTIVES

To determine the laboratory tests, related to metabolic risk that should be practiced to adult patients diagnosed with schizophrenia. To assist the clinician decision-making process about complementary diagnostic evaluation strategies in adult diagnosed with schizophrenia.

METHODS

A clinical practice guideline was elaborated under the parameters of the Methodological Guide of the Ministerio de Salud y Protección Social to identify, synthesize and evaluate the evidence and make recommendations about the treatment and follow-up of adult patients with schizophrenia. The evidence of NICE guide 82 was adopted and updated. The evidence was presented to the Guideline Developing Group and recommendations, employing the GRADE system, were produced.

RESULTS

The risk of overall mortality in schizophrenia is higher than in the general population excluding suicide. Results related with mortality associated to antipsychotics showed contradictory results. Metabolic outcomes showed a higher incidence and association with schizophrenia and treatment with antipsychotics (AP). The diagnosis of dyslipidemia in men with schizophrenia appears to be lower in comparison with the general population. However, changes in weight, blood sugar levels, HDL cholesterol and triglycerides are influenced by the use of antipsychotics in general there is a higher risk of developing diabetes mellitus in adults with schizophrenia.

CONCLUSION

Based on the evidence found a plan was formulated for the evaluation of physiological and paraclinical variables during and before the management with AP in adult diagnosed with schizophrenia. The overall quality of evidence is low considering that most of the reports come from observational studies that have risk of bias and some designs have methodological limitations.

Role of serotonin 5-HT2C and histamine H1 receptors in antipsychotic-induced diabetes: A pharmacoepidemiological-pharmacodynamic study in VigiBase

Pharmacodynamic mechanisms of diabetes induced by antipsychotic drugs remain unclear, while numerous receptors have been suspected to be involved in the genesis of this Adverse Drug Reaction (ADR). We investigated potential relationships between antipsychotics׳ receptor occupancy (serotonin 5-HT1A, 5-HT2A, 5-HT2C, histamine H1, muscarinic M3, adrenergic α1, α2 or dopaminergic D2 D3 occupancies) and reports of diabetes using VigiBase(®), the World Health Organization (WHO) global Individual Case Safety Report (ICSR) database. All ADR reports from 15 first and second generation antipsychotic drugs recorded in VigiBase(®) were extracted. Logistic regression models, completed by disproportionality analysis, were used to determine the associations between antipsychotics׳ receptor occupancy and ICSRs of diabetes on VigiBase(®). During the study period, 94,460 ICSRs involved at least one of the 15 antipsychotics of interest. Diabetes was reported in 1799 (1.9%) patients. Clozapine was the most frequently suspected drug (n=953; 53.0%). A significant and positive association was found between histamine H1, muscarinic M3 and serotonin 5-HT2C, 5-HT2A receptor occupancies and reports of diabetes. A multivariable stepwise regression model showed that only serotonin 5-HT2c (AOR=2.13, CI 95% 1.72-2.64) and histamine H1 (AOR=1.91, CI 95% 1.38-2.64) predicted the risk for diabetes mellitus (p<0.001). Using an original pharmacoepidemiology-pharmacodynamic (PE-PD) approach, our study supports that antipsychotic drugs blocking simultaneously histamine H1 and serotonin 5-HT2C receptors are more frequently associated with diabetes reports in VigiBase(®) than other antipsychotics. These findings should encourage investigation of histamine H1 and serotonin 5-HT2C properties for predicting the risk of glycemic effects in candidate antipsychotics.

The epidemiology of diabetes in psychotic disorders

Diabetes is highly prevalent in people with psychotic disorders, including schizophrenia and schizoaffective disorders. Exact prevalence is difficult to estimate, since diabetes is often underdiagnosed in people with psychosis. Results of several studies show that the prevalence of diabetes exceeds that in the general population, with documented prevalence in those with psychosis ranging from 1·26% to 50% across studies (median 13%). The association between diabetes and psychosis is complex and multifactorial. Many of the traditional risk factors for disease have increased prevalence in patients with psychotic disorders. In addition to these traditional risk factors, people with psychosis have unique risks that might have additive or even synergistic effects. These risks include the use of antipsychotic medication, the effects of adverse social determinants of health, and genetic loading. Despite evidence that rates of diabetes are increased in individuals with psychosis, many of these patients are not diagnosed or treated, resulting in increased diabetes-associated morbidity and mortality. Specific patient factors, provider issues, and systems-level factors contribute to the treatment gap. Interventions at both the clinical and public health levels are needed to successfully address this problem.

Diabetes mellitus and severe mental illness: mechanisms and clinical implications

The prevalence of diabetes mellitus is twofold to threefold higher in people with severe mental illness (SMI) than in the general population, with diabetes mellitus affecting ∼12% of people receiving antipsychotics. The consequences of diabetes mellitus are more severe and frequent in people with SMI than in those without these conditions, with increased rates of microvascular and macrovascular complications, acute metabolic dysregulation and deaths related to diabetes mellitus. Multiple complex mechanisms underlie the association between diabetes mellitus and SMI; these mechanisms include genetic, environmental and disease-specific factors, and treatment-specific factors. Although antipsychotics are the mainstay of treatment in SMI, a causative link, albeit of uncertain magnitude, seems to exist between antipsychotics and diabetes mellitus. The principles of managing diabetes mellitus in people with SMI are similar to those for the general population and should follow currently established treatment algorithms. Lifestyle interventions are needed to reduce incident diabetes mellitus. In addition, improved uptake of opportunities to screen for this disease will reduce the high prevalence of undiagnosed diabetes mellitus. Currently, people with SMI receive poorer treatment for diabetes mellitus than the general population. Thus, health-care professionals in primary care, diabetes mellitus services and mental health teams have a responsibility to ensure that patients with SMI are not disadvantaged.

Almost all antipsychotics result in weight gain: a meta-analysis

Introduction

Antipsychotics (AP) induce weight gain. However, reviews and meta-analyses generally are restricted to second generation antipsychotics (SGA) and do not stratify for duration of AP use. It is hypothesised that patients gain more weight if duration of AP use is longer.

Method

A meta-analysis was conducted of clinical trials of AP that reported weight change. Outcome measures were body weight change, change in BMI and clinically relevant weight change (7% weight gain or loss). Duration of AP-use was stratified as follows: ≤6 weeks, 6–16 weeks, 16–38 weeks and >38 weeks. Forest plots stratified by AP as well as by duration of use were generated and results were summarised in figures.

Results

307 articles met inclusion criteria. The majority were AP switch studies. Almost all AP showed a degree of weight gain after prolonged use, except for amisulpride, aripiprazole and ziprasidone, for which prolonged exposure resulted in negligible weight change. The level of weight gain per AP varied from discrete to severe. Contrary to expectations, switch of AP did not result in weight loss for amisulpride, aripiprazole or ziprasidone. In AP-naive patients, weight gain was much more pronounced for all AP.

Conclusion

Given prolonged exposure, virtually all AP are associated with weight gain. The rational of switching AP to achieve weight reduction may be overrated. In AP-naive patients, weight gain is more pronounced.

Physical comorbidity and its relevance on mortality in schizophrenia: a naturalistic 12-year follow-up in general hospital admissions

Schizophrenia is a major psychotic disorder with significant comorbidity and mortality. Patients with schizophrenia are said to suffer more type-2 diabetes mellitus (T2DM) and diabetogenic complications. However, there is little consistent evidence that comorbidity with physical diseases leads to excess mortality in schizophrenic patients. Consequently, we investigated whether the burden of physical comorbidity and its relevance on hospital mortality differed between patients with and without schizophrenia in a 12-year follow-up in general hospital admissions. During 1 January 2000 and 31 June 2012, 1418 adult patients with schizophrenia were admitted to three General Manchester NHS Hospitals. All comorbid diseases with a prevalemce ≥1% were compared with those of 14,180 age- and gender-matched hospital controls. Risk factors, i.e. comorbid diseases that were predictors for general hospital mortality were identified using multivariate logistic regression analyses. Compared with controls, schizophrenic patients had a higher proportion of emergency admissions (69.8 vs. 43.0%), an extended average length of stay at index hospitalization (8.1 vs. 3.4 days), a higher number of hospital admissions (11.5 vs. 6.3), a shorter length of survival (1895 vs. 2161 days), and a nearly twofold increased mortality rate (18.0 vs. 9.7%). Schizophrenic patients suffered more depression, T2DM, alcohol abuse, asthma, COPD, and twenty-three more diseases, many of them diabetic-related complications or other environmentally influenced conditions. In contrast, hypertension, cataract, angina, and hyperlipidaemia were less prevalent in the schizophrenia population compared to the control population. In deceased schizophrenic patients, T2DM was the most frequently recorded comorbidity, contributing to 31.4% of hospital deaths (only 14.4% of schizophrenic patients with comorbid T2DM survived the study period). Further predictors of general hospital mortality in schizophrenia were found to be alcoholic liver disease (OR = 10.3), parkinsonism (OR = 5.0), T1DM (OR = 3.8), non-specific renal failure (OR = 3.5), ischaemic stroke (OR = 3.3), pneumonia (OR = 3.0), iron-deficiency anaemia (OR = 2.8), COPD (OR = 2.8), and bronchitis (OR = 2.6). There were no significant differences in their impact on hospital mortality compared to control subjects with the same diseases except parkinsonism which was associated with higher mortality in the schizophrenia population compared with the control population. The prevalence of parkinsonism was significantly elevated in the 255 deceased schizophrenic patients (5.5 %) than in those 1,163 surviving the study period (0.8 %, OR = 5.0) and deceased schizophrenic patients had significantly more suffered extrapyramidal symptoms than deceased control subjects (5.5 vs. 1.5 %). Therefore patients with schizophrenia have a higher burden of physical comorbidity that is associated with a worse outcome in a 12-year follow-up of mortality in general hospitals compared with hospital controls. However, schizophrenic patients die of the same physical diseases as their peers without schizophrenia. The most relevant physical risk factors of general hospital mortality are T2DM, COPD and infectious respiratory complications, iron-deficiency anaemia, T1DM, unspecific renal failure, ischaemic stroke, and alcoholic liver disease. Additionally, parkinsonism is a major risk factor for general hospital mortality in schizophrenia. Thus, optimal monitoring and management of acute T2DM and COPD with its infectious respiratory complications, as well as the accurate detection and management of iron-deficiency anaemia, of diabetic-related long-term micro- and macrovascular complications, of alcoholic liver disease, and of extrapyramidal symptoms are of utmost relevance in schizophrenia.

Immune system and glucose metabolism interaction in schizophrenia: a chicken-egg dilemma

Impaired glucose metabolism and the development of metabolic syndrome contribute to a reduction in the average life expectancy of individuals with schizophrenia. It is unclear whether this association simply reflects an unhealthy lifestyle or whether weight gain and impaired glucose tolerance in patients with schizophrenia are directly attributable to the side effects of atypical antipsychotic medications or disease-inherent derangements. In addition, numerous previous studies have highlighted alterations in the immune system of patients with schizophrenia. Increased concentrations of interleukin (IL)-1, IL-6, and transforming growth factor-beta (TGF-β) appear to be state markers, whereas IL-12, interferon-gamma (IFN-γ), tumor necrosis factor-alpha (TNF-α), and soluble IL-2 receptor (sIL-2R) appear to be trait markers of schizophrenia. Moreover, the mononuclear phagocyte system (MPS) and microglial activation are involved in the early course of the disease. This review illustrates a "chicken-egg dilemma", as it is currently unclear whether impaired cerebral glucose utilization leads to secondary disturbances in peripheral glucose metabolism, an increased risk of cardiovascular complications, and accompanying pro-inflammatory changes in patients with schizophrenia or whether immune mechanisms may be involved in the initial pathogenesis of schizophrenia, which leads to disturbances in glucose metabolism such as metabolic syndrome. Alternatively, shared underlying factors may be responsible for the co-occurrence of immune system and glucose metabolism disturbances in schizophrenia.

Proposed nurse-led initiatives in improving physical health of people with serious mental illness: a survey of nurses in mental health

AIMS AND OBJECTIVES

To identify nurse perceptions on the potential value of general and specific nursing approaches to improving physical health outcomes of people with serious mental illness.

BACKGROUND

People diagnosed with serious mental illnesses experience heightened rates of physical illnesses and can be supported better via healthcare system prevention and management. Nurses working in mental health are a critical part of a system-wide approach to improving physical health care, but there is little known on their views on specific approaches within Australia (e.g. screening for risks, stigma reduction).

DESIGN

A national, cross-sectional and nonrandom survey study delivered online.

METHODS

Members of the Australian College of Mental Health Nurses (n = 643), representing nurses employed in mental healthcare services across Australia (71·6% from public mental health services). Participants were asked to rate the potential of nine nurse-based strategies for improving physical health (options: 'yes', 'no', 'not sure') and the potential value of 10 nursing and general strategies for improving physical health (rating from 'negative value' to 'significant value').

RESULTS

There was a high endorsement of all nine nurse-based strategies for physical health (e.g. lifestyle programmes, screening, linking services), although there was less support for reducing antipsychotics or advocating for fewer side effects. Participants mainly viewed all strategies as of moderate to significant value, with the most promising value attached to colocation of primary and mental care services, lifestyle programmes and improving primary care services (reduce stigma, train GPs).

CONCLUSIONS

Australian nurses working in mental health services view a range of nurse-based strategies for improving physical healthcare services and standards as important.

RELEVANCE TO CLINICAL PRACTICE

Nurses collectively need to work with consumers, health agencies and the general public to further define how to organise and implement physical health integration strategies, towards more comprehensive health care of people with serious mental illness.

Effects of antipsychotic medications on appetite, weight, and insulin resistance

Although clozapine, olanzapine, and other atypical antipsychotic drugs (APDs) have fewer extrapyramidal side effects, they have serious metabolic side effects such as substantial weight gain, intra-abdominal obesity, and type 2 diabetes mellitus. Given that most patients with mental disorders face chronic, even life-long, treatment with APDs, the risks of weight gain/obesity and other metabolic symptoms are major considerations for APD maintenance treatment. This review focuses on the effects of APDs on weight gain, appetite, insulin resistance, and glucose dysregulation, and the relevant underlying mechanisms that may be help to prevent and treat metabolic side effects caused by APD therapy.

Diabetes, physical activity participation and exercise capacity in patients with schizophrenia

AIM

The aim of this study was to determine if in schizophrenia patients the presence of diabetes is associated with lower physical activity participation and lower exercise capacity compared to patients with pre-diabetes and to patients without (pre-) diabetes.

METHODS

Schizophrenia patients without (pre-)diabetes (n = 86) were compared with pre-diabetic (n = 10) and diabetic patients (n = 10). Patients were assessed on physical activity participation using the Baecke physical activity questionnaire and on exercise capacity using a 6-min walk test (6MWT).

RESULTS

The three groups were similar in age, sex, mean antipsychotic medication dose, negative and depressive symptoms and smoking behavior. Distance achieved on the 6MWT, however, was approximately 15% shorter (P < 0.05) in patients withdiabetes than in patients without (pre-)diabetes (500.3 ± 76.9 m vs 590.7 ± 101.8 m). Patients with diabetes were also significantly less physically active (P < 0.05). No differences between diabetic and pre-diabetic patients were found. Pre-diabetic patients had a higher body mass index (BMI) than non-diabetic patients (30.0 ± 7.3 vs 24.3 ± 4.3, P < 0.05). An interaction effect with BMI for differences in Baecke (F = 29.9, P < 0.001) and 6MWT (F = 13.0, P < 0.001) scores was seen between diabetic and non-diabetic patients on univariate ANCOVA.

CONCLUSION

The additive burden of diabetes might place patients with schizophrenia at an even greater risk for functional limitations in daily life.

Lipidomics reveals early metabolic changes in subjects with schizophrenia: effects of atypical antipsychotics

There is a critical need for mapping early metabolic changes in schizophrenia to capture failures in regulation of biochemical pathways and networks. This information could provide valuable insights about disease mechanisms, trajectory of disease progression, and diagnostic biomarkers. We used a lipidomics platform to measure individual lipid species in 20 drug-naïve patients with a first episode of schizophrenia (FE group), 20 patients with chronic schizophrenia that had not adhered to prescribed medications (RE group), and 29 race-matched control subjects without schizophrenia. Lipid metabolic profiles were evaluated and compared between study groups and within groups before and after treatment with atypical antipsychotics, risperidone and aripiprazole. Finally, we mapped lipid profiles to n3 and n6 fatty acid synthesis pathways to elucidate which enzymes might be affected by disease and treatment. Compared to controls, the FE group showed significant down-regulation of several n3 polyunsaturated fatty acids (PUFAs), including 20:5n3, 22:5n3, and 22:6n3 within the phosphatidylcholine and phosphatidylethanolamine lipid classes. Differences between FE and controls were only observed in the n3 class PUFAs; no differences where noted in n6 class PUFAs. The RE group was not significantly different from controls, although some compositional differences within PUFAs were noted. Drug treatment was able to correct the aberrant PUFA levels noted in FE patients, but changes in re patients were not corrective. Treatment caused increases in both n3 and n6 class lipids. These results supported the hypothesis that phospholipid n3 fatty acid deficits are present early in the course of schizophrenia and tend not to persist throughout its course. These changes in lipid metabolism could indicate a metabolic vulnerability in patients with schizophrenia that occurs early in development of the disease.

Schizophrenia: metabolic aspects of aetiology, diagnosis and future treatment strategies

Despite decades of research, the pathophysiology and aetiology of schizophrenia remains incompletely understood. The disorder is frequently accompanied by metabolic symptoms including dyslipidaemia, hyperinsulinaemia, type 2 diabetes and obesity. These symptoms are a common side effect of currently available antipsychotic medications. However, reports of metabolic dysfunction in schizophrenia predate the antipsychotic era and have also been observed in first onset patients prior to antipsychotic treatment. Here, we review the evidence for abnormalities in metabolism in schizophrenia patients, both in the central nervous system and periphery. Molecular analysis of post mortem brain tissue has pointed towards alterations in glucose metabolism and insulin signalling pathways, and blood-based molecular profiling analyses have demonstrated hyperinsulinaemia and abnormalities in secretion of insulin and co-released factors at first presentation of symptoms. Nonetheless, such features are not observed for all subjects with the disorder and not all individuals with such abnormalities suffer the symptoms of schizophrenia. One interpretation of these data is the presence of an underlying metabolic vulnerability in a subset of individuals which interacts with environmental or genetic factors to produce the overt symptoms of the disorder. Further investigation of metabolic aspects of schizophrenia may prove critical for diagnosis, improvement of existing treatment based on patient stratification/personalised medicine strategies and development of novel antipsychotic agents.

Cardiometabolic comorbidity in antipsychotic treated patients: need for systematic evaluation and treatment

OBJECTIVE

The aim of the study was to determine the prevalence of cardiometabolic dysregulations and their somatic treatment regimens in a group of psychiatric patients treated with antipsychotics.

METHODS

In a naturalistic cohort study, baseline cardiometabolic parameters were measured in 543 outpatients. After one year, a second assessment was performed in 220 patients out of the total sample. In addition, it was investigated whether in patients with somatic comorbidities adequate treatment was prescribed.

RESULTS

In this cohort, about half of the patients fulfilled the criteria for metabolic syndrome. Only a limited number of patients, however, received pharmacologic treatment for individual risk factors: About 19% for hypercholesterolemia, 26% for hypertension, and 52% for diabetes. Non-treated patients were significantly younger than treated patients. Follow-up data show that the course of the cardiometabolic parameters can be dynamic.

CONCLUSIONS

Cardiometabolic risk factors are highly prevalent in psychiatric patients treated with antipsychotic drugs. Unfortunately, adequate treatment of cardiometabolic comorbidity in these relatively young patients is seriously hampered. Thus, specific guidelines for psychiatric patients have to be developed taking into account the high cardiovascular risk at a relatively young age and potential pharmacokinetic interactions between psychotropics and somatic compounds. Moreover, integration of psychiatric and physical health care systems for patients with mental disorders is urgently needed.

A comparison of cardiovascular risk factors for ten antipsychotic drugs in clinical practice

It is well known that abdominal obesity, dyslipidemia, and insulin resistance are highly prevalent in patients receiving maintenance treatment with antipsychotics, but there is limited knowledge about the association between cardiovascular risk factors and treatment with antipsychotic drugs. In this naturalistic study we investigated a sample of 809 antipsychotic-treated patients from Swedish psychosis outpatient teams. Cardiovascular risk factors (eg, metabolic syndrome, homeostasis model assessment of insulin resistance, and low-density lipoprotein values) were measured, and their associations to current antipsychotic pharmacotherapy were studied. Ten antipsychotic drugs were compared in a stepwise logistic regression model. For the patients, the presence of the components of metabolic syndrome ranged from 35% for hyperglycemia to 64% for elevated waist circumference. Hypertriglyceridemia was associated with clozapine (odds ratio [OR] = 1.81, 95% confidence interval [CI] 1.08-3.04), reduced high-density lipoprotein with both clozapine and olanzapine (OR = 1.73, 95% CI 1.01-2.97; and OR = 2.03, 95% CI 1.32-3.13), hypertension with perphenazine (OR = 2.00, 95% CI 1.21-3.59), and hyperglycemia inversely with ziprasidone (OR = 0.21, 95% CI 0.05-0.89) and positively with haloperidol (OR = 2.02, 95% CI 1.18-3.48). There were no significant relationships between any of the antipsychotic drugs and increased waist circumference, homeostasis model assessment of insulin resistance, or low-density lipoprotein levels. In conclusion, treatment with antipsychotic drugs is differentially associated with cardiovascular risk factors, even after adjusting for waist circumference, sex, age, and smoking.

Prevalence of metabolic syndrome in patients with schizophrenia in India

Prevalence of metabolic syndrome (MS) was estimated in 227 patients with schizophrenia. A total of 43.6% of patients fulfilled International Diabetes Federation (IDF) criteria and 44.5% met modified National Cholesterol Education Program Adult Treatment Panel-III (NCEP ATP- III) criteria of MS. Increased waist circumference was the most common abnormality (64.8%) and high glucose level was the least common (15.9%). In regression analysis, age more than 35 years (OR-3.37), female gender (odds ratios (OR-1.81)), urban locality (OR-2.08), being employed (OR-2.12) and BMI more than 25 (OR-5.64) emerged as significant predictors of MS.

Assessing clinical and functional outcomes in a gene-environment interaction study in first episode of psychosis (PEPs)

The PEPs study is a multicenter, naturalistic, prospective, longitudinal study designed to evaluate clinical, neuropsychological, neuroimaging, biochemical, environmental and pharmacogenetic variables in a sample of nearly 350 first episode of psychosis patients and 250 healthy controls. The PEPs project was conducted in Spain from January 2009 to December 2011. This article describes the rationale for the measurement approach adopted, providing an overview of the selected clinical and functional measures. The main objectives are: a) the thorough clinical and neurocognitive characterization of a sample of first episodes of psychosis, and b) the study of the interactions between the genetic and environmental variables selected to predict clinical and brain structural outcomes, and to determine the relationship of genetic polymorphisms involved in the pharmacokinetics and pharmacodynamics, and the responses and adverse effects of treatment.

Excessive insulin secretion in Japanese schizophrenic patients treated with antipsychotics despite normal fasting glucose levels

The development of impaired glucose tolerance induced by antipsychotics (APs) is of concern as a serious adverse effect of psychiatric drug therapy. However, the mechanism by which APs cause dysfunction of the glucose-insulin response is not fully understood. Recent studies have shown that patients treated with APs for schizophrenia were more likely to exhibit impaired glucose tolerance after a glucose load compared with healthy control subjects, even if fasting glucose levels were within the reference range. To explain these findings, we hypothesized that insulin secretion is increased in schizophrenic patients treated with AP, even those normal fasting glucose (NFG) levels. Therefore, oral glucose tolerance tests were conducted in 159 Japanese inpatients with AP-treated schizophrenia and in 90 healthy subjects without schizophrenia. Plasma glucose and serum insulin concentrations were measured before (0 minute) and at 30, 60, 90, and 120 minutes after the oral glucose load. Although insulin levels at 0 minute were similar in both groups of subjects, insulin levels were significantly higher in the patients treated with AP at all times after the glucose load than in the healthy subjects. In analyses of NFG subjects, insulin levels were significantly higher in the patients treated with AP compared with the healthy subjects at all times after glucose loading. Overall, we found that insulin secretion in response to a glucose load was significantly higher in the patients treated with AP, irrespective of NFG. These results suggest that APs affect the glucose-insulin response, which may lead to subclinical insulin resistance before the onset of overt glucose intolerance.

Diabetes is associated with lower global cognitive function in schizophrenia

BACKGROUND

Co-morbidity of schizophrenia (SZ) and metabolic problems such as diabetes mellitus (DM) has been suggested by many studies. Nonetheless, it is still debated whether DM affects cognitive dysfunction associated with SZ and how much treatment for DM is beneficial for cognitive functions in SZ. We addressed these questions by re-assessing the cognitive dataset from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia study.

METHODS

We identified 1289 SZ patients in which scores for several cognitive domains of verbal memory, vigilance, processing speed, reasoning, and working memory together with the composite score and metabolic characteristics (body mass index, dyslipidemia, hypertension, and DM) were available at baseline of the trial. We performed multiple linear regression analyses to assess the impact of DM on cognitive performance of SZ patients, controlling for a number of other confounding factors including obesity, hypertension, and dyslipidemia. We also conducted analyses of covariance to compare cognitive performance among SZ patients without DM and diabetic SZ sub-groups based on anti-diabetic drugs they were receiving at baseline of the trial.

RESULTS

Co-morbid DM with SZ predicted worse overall cognitive performance and lower scores for three cognitive domains (vigilance, processing speed, and reasoning), but none of the other metabolic factors (i.e., obesity, hypertension and dyslipidemia) correlated with cognitive function in SZ. Furthermore, SZ patients with untreated DM showed poorer overall cognitive performance and a significantly lower score in the domain of vigilance compared with SZ patients without DM.

CONCLUSION

Our data suggest that DM negatively affects the overall cognitive function of SZ patients.

Obesity, cardiovascular disease and type 2 diabetes in people with a mental illness: a need for primary health care

People with a mental illness show a growing incidence of obesity, and higher rates of metabolic syndrome when compared with the general population. This paper reviews research on obesity, cardiovascular disease and type 2 diabetes, with the aim of directing clinical attention towards the improvement of patient physical health. A systematic search of cross-discipline databases and journals provided peer-reviewed research for analysis, and national statistics allowed for the investigation of differences in rates of occurrence between people experiencing a mental illness and the general population. Treatment effects via psychotropic medications and lifestyle factors such as poor diet and low levels of exercise suggest that ongoing monitoring is necessary to prevent major physical disorders in people experiencing a mental illness. To aid clinicians, a comprehensive set of clinical guidelines have been developed for the physical assessment and ongoing monitoring of mental health patients.

Association of the type 2 diabetes mellitus susceptibility gene, TCF7L2, with schizophrenia in an Arab-Israeli family sample

Many reports in different populations have demonstrated linkage of the 10q24-q26 region to schizophrenia, thus encouraging further analysis of this locus for detection of specific schizophrenia genes. Our group previously reported linkage of the 10q24-q26 region to schizophrenia in a unique, homogeneous sample of Arab-Israeli families with multiple schizophrenia-affected individuals, under a dominant model of inheritance. To further explore this candidate region and identify specific susceptibility variants within it, we performed re-analysis of the 10q24-26 genotype data, taken from our previous genome-wide association study (GWAS) (Alkelai et al, 2011). We analyzed 2089 SNPs in an extended sample of 57 Arab Israeli families (189 genotyped individuals), under the dominant model of inheritance, which best fits this locus according to previously performed MOD score analysis. We found significant association with schizophrenia of the TCF7L2 gene intronic SNP, rs12573128, (p = 7.01×10⁻⁶) and of the nearby intergenic SNP, rs1033772, (p = 6.59×10⁻⁶) which is positioned between TCF7L2 and HABP2. TCF7L2 is one of the best confirmed susceptibility genes for type 2 diabetes (T2D) among different ethnic groups, has a role in pancreatic beta cell function and may contribute to the comorbidity of schizophrenia and T2D. These preliminary results independently support previous findings regarding a possible role of TCF7L2 in susceptibility to schizophrenia, and strengthen the importance of integrating linkage analysis models of inheritance while performing association analyses in regions of interest. Further validation studies in additional populations are required.

Prevalence of metabolic syndrome in bipolar disorder: an exploratory study from North India

PURPOSE

To study the prevalence of metabolic syndrome in patients with bipolar disorder.

MATERIAL AND METHOD

By using purposive random sampling 200 patients with bipolar disorder receiving treatment were evaluated for presence of metabolic syndrome using International Diabetes Federation (IDF) and modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III) criteria.

RESULTS

Eighty patients fulfilled IDF criteria and 82 patients met NCEP ATP-III criteria for metabolic syndrome. There was significant concordance between these two criteria sets for metabolic syndrome (Kappa value 0.979, p<0.015). Among the individual parameters studied--increased waist circumference (70.1%) was the most common abnormality, followed by increased blood pressure (44.5%) and increased triglycerides levels (42%). Compared to patients without metabolic syndrome, patients with metabolic syndrome had significantly higher body mass index and higher percentage of them (74.4% vs 51.7%) were more than 35 years of age. Logistic regression analysis revealed that these two variables significantly predicted metabolic syndrome.

CONCLUSION

Findings of the present study suggest that abdominal obesity is the most common abnormality and metabolic syndrome is best predicted in patients with bipolar disorder by higher age and higher body mass index.

Metabolic consequences of antipsychotic therapy: preclinical and clinical perspectives on diabetes, diabetic ketoacidosis, and obesity

Antipsychotic drugs, particularly second-generation antipsychotics (SGAs), have reduced the burden to society of schizophrenia, but many still produce excessive weight gain. A significant number of SGAs also act directly to impair glycemic control causing insulin resistance, impaired glucose tolerance and type 2 diabetes, and also rarely diabetic ketoacidosis (DKA). Schizophrenia itself is almost certainly causal in many endocrine and metabolic disturbances, making this population especially vulnerable to the adverse metabolic consequences of treatment with SGAs. Hence, there is an urgent need for a new generation of antipsychotic drugs that provide efficacy equal to the best of the SGAs without their liability to cause weight gain or type 2 diabetes. In the absence of such safe and effective alternatives to the SGAs, there is a substantial clinical need for the introduction of new antipsychotics without adverse metabolic effects and new antiobesity drugs to combat these metabolic side effects. We discuss the adverse metabolic consequences of schizophrenia, its exacerbation by a lack of social care, and the additional burden placed on patients by their medication. A critical evaluation of the animal models of antipsychotic-induced metabolic disturbances is provided with observations on their strengths and limitations. Finally, we discuss novel antipsychotic drugs with a lower propensity to increase metabolic risk and adjunctive medications to mitigate the adverse metabolic actions of the current generation of antipsychotics.

The prevalence of metabolic syndrome in Korean patients with schizophrenia receiving a monotherapy with aripiprazole, olanzapine or risperidone

Second-generation antipsychotics (SGAs) increase the risk of metabolic syndrome (MetS). Although ethnicity also contributes to MetS risk, the majority of the studies on the relationship of SGAs to this syndrome come from Western countries, whereas few reports have come from Asian countries, especially regarding patients taking a single SGA. We reviewed the electronic medical records of patients with schizophrenia who received aripiprazole, olanzapine or risperidone monotherapies for at least three months. We evaluated the prevalence of MetS in our sample as well as the indirect standardized prevalence ratio (ISPR) using data from the 4th Korean National Health and Nutrition Examination Survey (KNHNES, 2007). The prevalence of MetS in our sample (n=145) was 31.7%, and the ISPR was 2.09. Male patients had a higher prevalence of MetS than female patients (odds ratio [OR]=4.18, 95% CI=1.93-9.03). The ISPR of male patients was 2.67 and statistically significant, whereas the ISPR of female patients was not significant. In our sample, the frequency of abnormal MetS subcomponents occurred in descending order: increased waist circumference, increased triglyceride levels, decreased HDL-cholesterol levels, elevated blood pressure and elevated fasting blood glucose levels. Patients who received aripiprazole were significantly less likely to have MetS. However, a logistic regression showed that age and sex, but not the type of antipsychotic, its dose or the use of antidepressants, were significantly related to the presence of MetS. There were no statistically significant differences among SGAs in terms of MetS subcomponent abnormalities of after adjusting for age and sex. In conclusion, only male Korean patients with schizophrenia who received a monotherapy of aripiprazole, olanzapine or risperidone for more than three months were more likely to have MetS than the general population.

Metabolic abnormalities in an early psychosis service: a retrospective, naturalistic cross-sectional study

AIM

There is an increasing recognition of the impact of weight gain on the development of metabolic abnormalities in young people receiving atypical antipsychotic drugs for first-episode psychosis. This study examined the prevalence of such abnormalities in a specialist early-intervention community mental health team.

METHODS

A retrospective case record audit of 85 patients 16-27 years old attending the Early Psychosis Service between October 2006 and June 2008, who had at least one metabolic measure defined as: weight, body mass index (BMI), waist circumference, blood pressure, and fasting blood glucose and lipids. Metabolic syndrome identified by the International Diabetes Federation (IDF) criteria.

RESULTS

Fifty-five percent of males and 42% of females were overweight or obese at a median treatment duration of 8 months. Duration of antipsychotic therapy was associated with higher BMI (r = 0.28, P < 0.01). More than 40% of the total sample had high waist circumference. Of the 64 subjects with complete metabolic data, eight (12.5%) met full IDF criteria for metabolic syndrome, and another 21 (32.8%) had either increased waist with one metabolic abnormality or normal waist and two metabolic abnormalities.

CONCLUSION

Over a third of young patients being treated for their first episode of psychosis either had metabolic syndrome or showed metabolic abnormalities. Treatment duration related to higher BMI and greater prevalence of metabolic syndrome. Detection of metabolic complications after treatment instigation in patients with first-episode psychosis will permit early intervention with lifestyle or drug interventions in those at risk of significant physical health morbidity.

Rethinking the genetic basis for comorbidity of schizophrenia and type 2 diabetes

The co-occurrence of schizophrenia (SCZ) and type 2 diabetes mellitus (T2D) has been well documented. This review article focuses on the hypothesis that the co-occurrence of SCZ and T2D may be, at least in part, driven by shared genetic factors. Previous genetic studies of T2D and SCZ evidence have disclosed a number of overlapped risk loci. However, the putative common genetic factors for SCZ and T2D remain inconclusive due to inconsistent findings. A systemic review of methods of identifying genetic loci contributing to the comorbidity link between SCZ and T2D is hence needed. In the current review article, we have discussed several different approaches to localizing the shared susceptibility genes for these two diseases. To begin with, one could start with probing the gene involved in both glucose and dopamine metabolisms. Additionally, hypothesis-free genome-wide association studies (GWAS) may provide more clues to the common genetic basis for these two diseases. Genetic similarities inferred from GWAS may shed some light on the genetic mechanism underlying the comorbidity link between SCZ and T2D. Meanwhile, endophenotypes (e.g., adiponectin level in T2D and working memory in SCZ) may serve as alternative phenotypes that are more directly influenced by genes than target diseases. Hence, endophenotypes of these diseases may be more tractable to identification. To summarize, novel approaches are needed to dissect the complex genetic basis of the comorbidity of SCZ and T2D.

Treatment with antipsychotics and the risk of diabetes in clinical practice

BACKGROUND

Treatment with antipsychotics seems to increase the risk of developing diabetes but the association is poorly characterised in clinical practice.

AIMS

To investigate and characterise the incidence of diabetes for people treated with antipsychotic medication in clinical practice.

METHOD

The study used the linkage of registers of all prescribed antipsychotics, antidiabetics and diagnoses of diabetes in Denmark during a period from 1996 to 2005 and identified all people treated with antipsychotics in Denmark and a random sample of about 30% of the total Danish population.

RESULTS

In total, 345,937 patients who purchased antipsychotics and 1,426,488 unexposed individuals were included in the study. Among the total population, 50,379 individuals subsequently developed incident diabetes. Compared with unexposed individuals, treatment with first- (rate ratio, RR = 1.53, 95% CI 1.49-1.56) as well as second-generation (RR = 1.32, 95% CI 1.22-1.42) antipsychotics was associated with increased risk of subsequent incident diabetes. The rate of incident diabetes varied substantially between individual second-generation antipsychotic drugs (olanzapine, risperidone clozapine compared with unexposed individuals: low to moderate rate ratio between 1.17 and 1.57; ziprasidone and sertindol: two or more times increased rate ratio; amisulpride, quetiapine and aripiprazole: no significantly increased rate ratio). For both first- and second-generation antipsychotics, the incidence of diabetes increased with the number of prescriptions. Additionally, the incidence of diabetes increased with the number of combined antipsychotic drugs.

CONCLUSIONS

In clinical practice, treatment with first- and second-generation antipsychotics is associated with an increased risk of developing incident diabetes with large differences between individual drugs. The risk increases with the duration of treatment and with polypharmacy of antipsychotic drugs.

S100B Serum Levels in Schizophrenia Are Presumably Related to Visceral Obesity and Insulin Resistance

Elevated blood levels of S100B in schizophrenia have so far been mainly attributed to glial pathology, as S100B is produced by astro- and oligodendroglial cells and is thought to act as a neurotrophic factor with effects on synaptogenesis, dopaminergic and glutamatergic neutrotransmission. However, adipocytes are another important source of S100B since the concentration of S100B in adipose tissue is as high as in nervous tissue. Insulin is downregulating S100B in adipocytes, astrocyte cultures and rat brain. As reviewed in this paper, our recent studies suggest that overweight, visceral obesity, and peripheral/cerebral insulin resistance may be pivotal for at least part of the elevated S100B serum levels in schizophrenia. In the context of this recently identified framework of metabolic disturbances accompanying S100B elevation in schizophrenia, it rather has to be attributed to systemic alterations in glucose metabolism than to be considered a surrogate marker for astrocyte-specific pathologies.