Changes in weight and metabolic parameters during treatment with antipsychotics and metformin: do the data inform as to potential guideline development? A systematic review of clinical studies

Severe psychiatric disorders and general medical comorbidities: inflammation-related mechanisms and therapeutic opportunities

Individuals with severe psychiatric disorders, such as mood disorders and schizophrenia, are at increased risk of developing other medical conditions, especially cardiovascular and metabolic diseases. These medical conditions are underdiagnosed and undertreated in these patients contributing to their increased morbidity and mortality. The basis for this increased comorbidity is not well understood, possibly reflecting shared risks factors (e.g. lifestyle risk factors), shared biological mechanisms and/or reciprocal interactions. Among overlapping pathophysiological mechanisms, inflammation and related factors, such as dysbiosis and insulin resistance, stand out. Besides underlying the association between psychiatric disorders and cardiometabolic diseases, these mechanisms provide several potential therapeutic targets.

Samidorphan for the treatment of weight gain associated with olanzapine in patients with schizophrenia and bipolar disorder

INTRODUCTION

Olanzapine (OLZ) is one of the most effective antipsychotic agents, however, its clinical utility has been limited by weight gain. Samidorphan (SAM) is aμ-opioid receptor antagonist and it can reduce the weight gain associated with OLZ. A combination of OLZ and SAM (OLZ/SAM) has been developed to provide the antipsychotic efficacy of OLZ, while mitigating OLZ-associated weight gain.

AREAS COVERED

A comprehensive literature search was conducted in PubMed. Key search terms included SAM and weight gain associated with OLZ. The pharmacological action, clinical efficacy, and safety of SAM were reviewed.

EXPERT OPINION

OLZ can lead to weight gain. SAM is a new drug that acts as an opioid receptor antagonist that can decrease weight gain. SAM mitigates OLZ-associated weight gain while preserving the antipsychotic efficacy of OLZ. Clinical trials have confirmed that OLZ/SAM significantly improved psychotic symptoms, and resulted in significantly less weight gain than OLZ. OLZ/SAM was well tolerated. Therefore, it is a potential new treatment option for schizophrenia.

The Association Between Antipsychotics and Weight Gain and the Potential Role of Metformin Concomitant Use: A Retrospective Cohort Study

BACKGROUND

Obesity and its complications are associated with several adverse effects that may cause a serious impact on health. Antipsychotics-induced weight gain (AIWG) is one of the major, yet often neglected side effects of first and second generations antipsychotics. Importantly, several researches have shown metformin to be effective in managing weight gain especially, with AIWG. This study investigated the effect of antipsychotics use on weight gain and the theory of metformin concomitant use on the prevention of AIWG.

METHODS

A retrospective cohort review of the medical records of patients from the psychiatry outpatient clinics in the King Abdulaziz Medical city, a tertiary hospital in Jeddah from May 2016 to August 2021. The population of patients in Psychiatry section was 4,141. The sampling technique was a non-random consecutive sampling technique. Moreover, the included patients' records were divided to group 1 (patients on antipsychotics) and group 2 (patients using antipsychotics with Metformin).

RESULTS

According to the study criteria, 395 patients' records were included. A total of 309 (78%) patients were using antipsychotics without metformin, which in this study were depicted as group 1. In addition, a total of 86 (22%) were using antipsychotics with metformin, which in this study were assigned as group 2. Out of Group 1 patients (n = 309), only 67 patients experienced weight loss (21.68%), 43 remained with no weight change (13.92%), and 199 experienced weight gain (64.4%). Out of Group 2 patients (n = 86), 35 patients experienced weight loss (40.7%), 18 patients remained with no weight change (20.93%), and 33 experienced weight gain (38.37%). In addition, group 1 had a mean weight change of 2.5 kg, whereas group 2 had a mean weight change of -0.04 kg.

CONCLUSION

Statistical analysis revealed that patients on antipsychotics alone experienced weight gain, whereas the concomitant use of metformin showed reduction in the weight gain tendency. Thus, study outcomes indicate that concomitant use of metformin with antipsychotics might significantly reduce the AIWG.

The effect of metformin on indomethacin-induced gastric ulcer: Involvement of nitric oxide/Rho kinase pathway

Gastric ulcer is a very common disease that represent an economic burden. Non-steroidal anti-inflammatory drugs induce ulcer in old patients and in patients with comorbidities. Indomethacin is widely used to induce gastric ulcer in animal models. Diabetic patients are highly susceptible to develop gastric ulcer. Metformin, the first line medication for the treatment of type II diabetes melilites that have many off label uses in non-diabetic patients, has been recently reported to have anti-inflammatory activities. Therefore, this research was conducted to assess the possible healing effects of metformin on gastric ulcers induced by indomethacin in rats. Indomethacin (48 mg/kg) single dose increased stomach acidity, ulcer index and induced histopathological changes. Indomethacin also decreased mucin levels and increased the activity of tumor necrosis factor-α (TNF-α), nuclear factor kappa-B (NF-κB), Rho-associated protein kinas-1 (ROCK-1) and decreased the levels of the protective nitric oxide (NO). After the induction of ulcer, rats were treated by omeprazole (30 mg/kg) or metformin (50, 100 or 200 mg/kg). Omeprazole and metformin were found to decrease stomach acidity and ulcer index, restored the histological features and increased mucin levels. Both also decreased the levels of NF-κB, TNF-α, ROCK-1 and increased NO. Metformin exerted ulcer healing effects comparable to that of omeprazole. This can be attributed, at least partly, to its anti-inflammatory activity and increasing NO levels.

The Complex Relationship between Antipsychotic-Induced Weight Gain and Therapeutic Benefits: A Systematic Review and Implications for Treatment

Background: Antipsychotic-induced weight gain (AIWG) and other adverse metabolic effects represent serious side effects faced by many patients with psychosis that can lead to numerous comorbidities and which reduce the lifespan. While the pathophysiology of AIWG remains poorly understood, numerous studies have reported a positive association between AIWG and the therapeutic benefit of antipsychotic medications.

Objectives: To review the literature to (1) determine if AIWG is consistently associated with therapeutic benefit and (2) investigate which variables may mediate such an association.

Data Sources: MEDLINE, Google Scholar, Cochrane Database and PsycINFO databases were searched for articles containing all the following exploded MESH terms: schizophrenia [AND] antipsychotic agents/neuroleptics [AND] (weight gain [OR] lipids [OR] insulin [OR] leptin) [AND] treatment outcome. Results were limited to full-text, English journal articles.

Results: Our literature search uncovered 31 independent studies which investigated an AIWG-therapeutic benefit association with a total of 6063 enrolled individuals diagnosed with schizophrenia or another serious mental illness receiving antipsychotic medications. Twenty-two studies found a positive association while, 10 studies found no association and one study reported a negative association. Study variables including medication compliance, sex, ethnicity, or prior antipsychotic exposure did not appear to consistently affect the AIWG-therapeutic benefit relationship. In contrast, there was some evidence that controlling for baseline BMI/psychopathology, duration of treatment and specific agent studied [i.e., olanzapine (OLZ) or clozapine (CLZ)] strengthened the relationship between AIWG and therapeutic benefit.

Limitations: There were limitations of the reviewed studies in that many had small sample sizes, and/or were retrospective. The heterogeneity of the studies also made comparisons difficult and publication bias was not controlled for.

Conclusions: An AIWG-therapeutic benefit association may exist and is most likely to be observed in OLZ and CLZ-treated patients. The clinical meaningfulness of this association remains unclear and weight gain and other metabolic comorbidities should be identified and treated to the same targets as the general population. Further research should continue to explore the links between therapeutic benefit and metabolic health with emphasis on both pre-clinical work and well-designed prospective clinical trials examining metabolic parameters associated, but also occurring independently to AIWG.

Efficacy of Metformin and Topiramate in Prevention and Treatment of Second-Generation Antipsychotic–Induced Weight Gain

Objective

To review the literature describing the efficacy of metformin and topiramate for the treatment of second-generation antipsychotio–induced weight gain.

Data sources

Articles were identified by searching the MEDLINE database (from 1949 through January 2010) using the key words metformin, topiramate, antipsychotic, weight, weight gain, and obesity.

Study selection and data extraction

All randomized, place bo-controlled trials of metformin and topiramate were selected for review.

Data synthesis

Weight gain due to second-generation antipsychotic use is a concern due to the risk of long-term metabolic and cardiovascular effects with these agents. These effects include obesity, hyperglycemia, and insulin resistance, all of which may contribute to diabetes and cardiovascular disease. Second-generation antipsychotics vary in the degree to which they cause weight gain, and dietary and lifestyle changes may not be feasible or sufficient in counteracting this weight gain. Although other pharmacologic agents may be beneficial to prevent and treat antipsychotic-induced weight gain, metformin and topiramate have been the most extensively studied in this setting. Metformin acts peripherally to cause weight loss, while topiramate acts centrally. Review of 11 randomized, controlled trials demonstrates beneficial effects of metformin and topiramate in prevention and treatment of weight gain. Metformin is generally well tolerated and has been studied in pediatric patients, while topiramate is associated with more drug interactions and may possibly interfere with control of schizophrenia.

Conclusions

Data for the use of metformin and topiramate in the treatment and prevention of second-generation antipsychotio–induced weight gain are limited. Both may be effective in helping patients lose weight via mechanisms that have yet to be clearly defined. The use of metformin results in greater weight loss than topiramate, and topiramate is associated with more risks and may compromise the treatment of schizophrenia. Treatment of antipsychotic-induced weight gain with metformin may be an option after lifestyle and dietary changes have failed.

Efficacy and safety of adjunctive topiramate for schizophrenia: a meta-analysis of randomized controlled trials

OBJECTIVE

To systematically examine the randomized controlled trial (RCT) evidence regarding efficacy and tolerability of topiramate cotreatment with antipsychotics in schizophrenia-spectrum disorders.

METHODS

Random-effects meta-analysis of RCTs of topiramate cotreatment with antipsychotics vs. placebo/ongoing antipsychotic treatment in schizophrenia-spectrum disorders. Standardized or weighted mean difference (SMD/WMD), risk ratio (RR) ±95% confidence intervals (CIs), and number needed to harm (NNH) were calculated.

RESULTS

Across 16 RCTs (n = 934, duration = 11.8 ± 5.6 weeks), topiramate outperformed the comparator regarding change/endpoint of total (SMD: -0.58, 95% CI: -0.82, -0.35, P < 0.00001), positive (SMD: -0.37, 95% CI: -0.61, -0.14, P = 0.002), negative (SMD: -0.58, 95% CI: -0.87, -0.29, P < 0.0001), and general symptoms (SMD: -0.68, 95% CI: -0.95, -0.40, P < 0.00001). Furthermore, topiramate was superior regarding body weight (WMD: -2.75 kg, 95% CI: -4.03, -1.47, P < 0.0001), body mass index (BMI) (WMD: -1.77, 95% CI: -2.38, -1.15, P < 0.00001), triglycerides (P = 0.006), and insulin levels (P < 0.00001). Superiority regarding psychopathology and body weight/BMI was consistent across Chinese/Asian and Western RCTs, double-blind and open designs, clozapine and non-clozapine cotreatment, augmentation and co-initiation RCTs, and higher and lower quality RCTs. In meta-regression analyses, topiramate's efficacy for total symptoms was moderated by shorter illness duration (P = 0.047), while weight loss was greater in prevention/co-initiation vs. intervention/augmentation RCTs (-4.11 kg, 95% CI: -6.70, -1.52 vs. -1.41 kg, 95% CI: -2.23, -0.59, P < 0.001). All-cause discontinuation was similar between topiramate and comparators (RR: 1.28, 95% CI: 0.91, 1.81, P = 0.16). While topiramate led to more concentration/attention difficulties (P = 0.03, NNH = 8, 95% CI=4-25), psychomotor slowing (P = 0.02, NNH = 7, 95% CI = 4-25), and paresthesia (P = 0.05, NNH = 2, 95% CI = 4-33), it led to less ≥7% weight gain (P = 0.0001, NNH = 2, 95% CI = 2-3) and constipation (P = 0.04, NNH = 9, 95% CI = 5-100) than the comparator.

CONCLUSIONS

These results indicate that adjunctive topiramate to antipsychotics is an effective and safe treatment choice for symptomatic improvement and weight reduction in patients with schizophrenia-spectrum disorders.

Altered metabolic parameters in association with antipsychotic medication use in diabetes: A population based case-control study

AIMS

This study assess differences in clinical variables in diabetes patients prescribed antipsychotic medication and determines relative schizophrenia prevalence in the diabetes population.

METHODS

This population-based case-control study utilizing Scotland's national diabetes registry (SCI-diabetes) and linked psychiatric hospital discharge data (SMR04) established diabetes phenotypes in a patient cohort prescribed long term antipsychotic medication (n=2362) (cases). Cases were matched 1:10 to diabetes patients not prescribed antipsychotic medication (controls) for BMI, gender; diabetes type; birth year; diagnosis date; smoking status. Sub-groups with defined schizophrenia (n=196) or bipolar disorder (n=190) were further examined. Schizophrenia prevalence in the diabetes versus general population was compared.

RESULTS

During follow up, antipsychotic prescription was associated with lower HbA1c (55.1 (95% CI 54.5-55.8) or 7.2 (95% CI 7.1-7.3)% vs 58.2 (58.0-58.4) mmol or 7.5 (95% CI 7.5-7.5)% p<0.001) lower serum total cholesterol, 4.2 (4.1-4.2) vs 4.3 (4.2-4.3) mmol/l, p<0.001, lower blood pressure (systolic 130 (130.17-131.29) vs 134 (134.3-134.7) mmHg, p<0.001), higher prescription of oral hypoglycaemic medication (42% (40-45) vs 38% (37-39) p<0.001), similar statin prescriptions (85% (81-89) vs 85% (84-86), p=0.55), and lower retinopathy rates (28% (25.6-30.5) vs 32% (31.5-33.1), p<0.001). HbA1c at diagnosis was similar (p=0.27). Schizophrenia prevalence was higher in the diabetes versus general population with differences across age groups (Scottish population versus diabetic population rate of 522.2 (522.1-522.3) versus 717.4 (703.4-731.9) per 100,000).

CONCLUSIONS

We confirm higher diabetes rates in schizophrenia up to age 70, similar attendance rates and clinical measurements that are not worse in a large well-matched population-based Scottish sample prescribed antipsychotic medication versus matched general diabetes patients.

Metformin for Weight Gain and Metabolic Abnormalities Associated With Antipsychotic Treatment: Meta-Analysis of Randomized Placebo-Controlled Trials

This meta-analysis examined the effectiveness and safety of metformin to prevent or treat weight gain and metabolic abnormalities associated with antipsychotic drugs. We systematically searched in both English- and Chinese-language databases for metformin randomized controlled clinical trials (RCTs) using placebo in patients taking antipsychotics. Twenty-one RCTs (11 published in English and 10 in Chinese) involving 1547 subjects (778 on metformin, 769 on placebo) were included in this meta-analysis. Metformin was significantly superior to placebo (standard mean differences, -0.69 to -0.51; P = 0.01-0.0001) in the primary outcome measures (body weight, body mass index, fasting glucose, fasting insulin, triglycerides, and total cholesterol). Metformin was significantly superior to placebo in some secondary outcome measures but not in others. Significantly higher frequencies of nausea/vomiting and diarrhea were found in the metformin group, but no differences were found in other adverse drug reactions. In the metformin group, the frequency of nausea/vomiting was 14%, and of diarrhea, 7%. Subgroup and sensitivity analyses demonstrated that primary outcomes were influenced by ethnicity, treatment style (intervention vs prevention), metformin dose, study duration, and mean age. Body weight standard mean difference was -0.91 (confidence interval [CI], -1.40 to -0.41) in 3 prevention RCTs in naive patients, -0.66 (CI, -1.02 to -0.30) in 5 intervention RCTs during the first year, and -0.50 (CI, -0.73 to -0.27) in 9 intervention RCTs in chronic patients. This meta-analysis suggests that adjunctive metformin is an effective, safe, and reasonable choice for antipsychotic-induced weight gain and metabolic abnormalities.

Medical treatment of obesity: the past, the present and the future

Medications for the treatment of obesity began to appear in the late 19th and early 20th century. Amphetamine-addiction led to the search for similar drugs without addictive properties. Four sympathomimetic drugs currently approved in the US arose from this search, but may not be approved elsewhere. When noradrenergic drugs were combined with serotonergic drugs, additional weight loss was induced. At present there are three drugs (orlistat, phentermine/topiramate and lorcaserin) approved for long-term use and four sympathomimetic drugs approved by the US FDA for short-term treatment of obesity. Leptin produced in fat cells and glucagon-like peptide-1, a gastrointestinal hormone, provide a new molecular basis for treatment of obesity. New classes of agents acting on the melanocortin system in the brain or mimicking GLP-1 have been tried with variable success. Combination therapy can substantially increase weight loss; a promising approach for the future.

Metabolic syndrome and major depression

Major depression is associated with a 4-fold increased risk for premature death, largely accounted by cardiovascular disease (CVD). The relationship between depression and CVD is thought to be mediated by the so-called metabolic syndrome (MeS). Epidemiological studies have consistently demonstrated a co-occurrence of depression with MeS components, ie, visceral obesity, dyslipidemia, insulin resistance, and hypertension. Although the exact mechanisms linking MeS to depression are unclear, different hypotheses have been put forward. On the one hand, MeS could be the hallmark of the unhealthy lifestyle habits of depressed patients. On the other, MeS and depression might share common alterations of the stress system, including the hypothalamus-pituitary-adrenal (HPA) axis, the autonomic nervous system, the immune system, and platelet and endothelial function. Both the conditions induce a low grade chronic inflammatory state that, in turn, leads to increased oxidative and nitrosative (O&NS) damage of neurons, pancreatic cells, and endothelium. Recently, neurobiological research revealed that peripheral hormones, such as leptin and ghrelin, which are classically involved in homeostatic energy balance, may play a role in mood regulation. Metabolic risk should be routinely assessed in depressed patients and taken into account in therapeutic decisions. Alternative targets should be considered for innovative antidepressant agents, including cytokines and their receptors, intracellular inflammatory mediators, glucocorticoids receptors, O&NS pathways, and peripheral mediators.

Update on obesity pharmacotherapy

There are two groups of approved drugs that can be used to manage weight in patients with obesity: medications approved for obesity per se and medications that affect body weight for obese patients who have complications from their obesity and are receiving these medications for chronic disease management. For obesity per se, treatment is with one of the three drugs currently approved for long-term treatment of obesity or one of a few others that can be used for short-term treatment. Among these, orlistat partially blocks intestinal digestion of fat and produces weight loss of 5-8 kg but major limitations are associated gastrointestinal symptoms; lorcaserin, a serotonin-2C agonist with few side effects, produces a mean weight loss of 4-7 kg; and the combination of phentermine and topiramate (extended release) produces a mean weight loss of 8-10 kg, but should only be used after verifying a woman is not pregnant. Failure to lose more than 3% of body weight within 3 months with any of these agents should lead to reevaluation of therapy. The short-term drugs for treating obesity per se are sympathomimetics, with phentermine being most widely used. The second group of drugs is for weight-centric prescribing for patients with a chronic disease such as diabetes, depression, or psychiatric disorders. For each disorder, some drugs produce weight gain, others are weight neutral, but the best choice for these patients is the combination of drugs that treat the underlying condition and also produce weight loss.

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.

Weight change by baseline BMI from three-year observational data: findings from the Worldwide Schizophrenia Outpatient Health Outcomes Database

The aim was to explore weight and body mass index (BMI) changes by baseline BMI in patients completing three years of monotherapy with various first- and second-generation antipsychotics in a large cohort in a post hoc analysis of three-year observational data. Data were analyzed by antipsychotic and three baseline BMI bands: underweight/normal weight (BMI <25 kg/m²), overweight (25-30 kg/m²) and obese (>30 kg/m²). Baseline BMI was associated with subsequent weight change irrespective of the antipsychotic given. Specifically, a smaller proportion of patients gained ≥7% baseline bodyweight, and a greater proportion of patients lost ≥7% baseline bodyweight with increasing baseline BMI. For olanzapine (the antipsychotic associated with highest mean weight gain in the total drug cohort), the percentage of patients gaining ≥7% baseline weight was 45% (95% CI: 43-48) in the underweight/normal weight BMI cohort and 20% (95% CI: 15-27) in the obese BMI cohort; 7% (95% CI: 6-8) of the underweight/normal cohort and 19% (95% CI: 13-27) of the obese cohort lost ≥7% baseline weight. BMI has an association with the likelihood of weight gain or loss and should be considered in analyses of antipsychotic weight change.

Identifying risk and preventing progression to Type 2 diabetes in vulnerable and disadvantaged adults: a pragmatic review

AIM

To identify effective approaches to recognize diabetes risk and prevent progression to Type 2 diabetes in vulnerable groups, whose diabetes risk may be difficult to identify or manage.

METHODS

UK-based interventions that assess diabetes risk and/or target known risk factors were identified through four main sources: submissions to two calls for evidence by the National Institute for Health and Clinical Excellence; local practice examples collected via a targeted email questionnaire; selected electronic databases; and a focused search of relevant websites. No restriction was placed on the study type or evaluation methods used. Key themes and sub-themes on outcomes, as well as facilitators and barriers to successful delivery, are reported.

RESULTS

Twenty-four interventions met all inclusion criteria: 15 included a risk identification element and 14 included preventative activities. A range of risk identification tools were used to improve diagnosis of unmet diabetes-related health needs and raise awareness of diabetes risk factors. All preventative interventions focused on lifestyle change. No interventions monitored blood glucose as an outcome and only one reported improvements in baseline risk scores. Facilitators included tailored and flexible programme design, outreach delivery in familiar locations and effective inter-agency working. Barriers included literacy and language difficulties, transient participant populations, low prioritization of diabetes prevention and cost.

CONCLUSIONS

It is possible to engage successfully with high-risk adults in vulnerable groups to achieve positive health outcomes relevant to the prevention of diabetes. However, more robust evidence on longer-term outcomes is required to ensure that programmes are targeted and delivered appropriately.

Effects of naltrexone on food intake and body weight gain in olanzapine-treated rats

Blockade of opioidergic neurotransmission contributes to reduction in body weight. However, how such blockade affects body weight gain (BWG) attributed to second generation antipsychotic agents (SGAs) has not yet been established. Here we examined the effects of an opioid receptor antagonist, naltrexone (NTX), on food intake and BWG associated with an SGA, olanzapine (OL). Four groups of Wistar Han IGS rats were treated for 28 days with either OL (2 mg/kg twice daily, intraperitoneal (IP)), a combination of OL (2 mg/kg twice daily, IP) + extended-release NTX (50 mg/kg, one-time, intramuscular (IM)), extended-release NTX (50 mg/kg, one-time, IM) or vehicle and their food intake and body weight were measured daily for the first nine days and every other day thereafter. Food intake and BWG that were increased by OL were decreased by the added NTX while NTX alone had no significant effects on food intake or on BWG. Plasma leptin concentrations were significantly elevated in the three groups receiving pharmacological agents, but did not differ among each other, suggesting that changes in leptin secretion and/or clearance alone would not explain the food intake and the body weight findings. Our results extend prior reports on anorexigenic effects of opioid antagonists by demonstrating that such effects may generalize to food intake increases and BWG arising in the context of OL pharmacotherapy.

The heart of the matter: cardiometabolic care in youth with psychosis

AIM

Weight gain, obesity and metabolic disturbances in youth with psychosis are significant contributors to the health burden of people with psychosis, with a two- to threefold increase in rates compared with the general population and a 20% reduction in life expectancy. Several studies have now described cardiometabolic benefits of a range of interventions, including a structured diet and exercise programmes and metformin for patients receiving antipsychotic medications. Despite the development of Australian consensus guidelines and screening algorithms to detect such metabolic abnormalities, there is a lack of guidelines for clinicians to determine appropriate, timely, targeted prevention and intervention to manage these complications in the youth population.

METHODS

The Bondi Early Psychosis Programme targets young people (aged 15-25 years) experiencing their first episode of psychosis. This service has developed a model of metabolic screening and a treatment algorithm to provide clinicians with recommendations for targeted interventions.

RESULTS

Positive Cardiometabolic Health: an early intervention framework for patients on psychotropic medication describes a method for early detection, prevention and intervention strategies targeting antipsychotic-induced metabolic abnormalities and cardiovascular risk factors.

CONCLUSION

Although further research is required, there is sufficient evidence to support early intervention and prevention strategies to improve physical health outcomes in young people with first-episode psychosis.

A critical review of major mortality risk factors for all-cause mortality in first-episode schizophrenia: clinical and research implications

A bibliographical search was performed to identify and evaluate the impact in first-episode schizophrenia of the major mortality risk factors as described by the World Health Organisation (2009). We found that at first diagnosis rates of diabetes were only slightly increased, although lipid abnormalities, mild hypertension and being overweight were commonly reported. Levels of drug and alcohol abuse were high, as were pre-diagnosis rates of smoking, physical inactivity and poor cardiorespiratory fitness. During the first year of antipsychotic treatment, there were significant increases in the rates of hyperglycaemia/diabetes, obesity, lipid abnormalities and hypertension, but no changes in fitness levels, smoking or drug and alcohol abuse. In chronic schizophrenia, excess cancer and cardiac deaths seem linked in part to availability and quality of care. Innate risk factors such as abnormal reelin and raised prolactin may also be important. New evidence, such as an inverse relationship between body mass index and suicide in the general population, suggests accepted wisdom may not apply to patients at high risk of ending their own lives. With current knowledge emphasis needs to be placed by early intervention services on physical fitness, smoking and other substance misuse, diabetes and hypertension, as well as focusing on weight reduction only in the obese.

Drug treatment of obesity

Both diet and medications are useful in the treatment of the obese patient. Weight loss of about 10% below baseline can be achieved with both, and there is no evidence that the composition of the diet, by itself, has any influence on weight loss. Presently only 1 drug is approved for long-term treatment of overweight patients, and its effectiveness is limited to palliation of the chronic disease of obesity. Combinations of medications and antidiabetic drugs that produce weight loss are being evaluated.

Treatment of co-morbid mental illness in primary care: how to minimize weight gain, diabetes, and metabolic syndrome

In patients with mental illness the increased risk from cardiovascular disease appears to be related to the increased incidence of obesity, hypertension, and diabetes mellitus. Barriers to the medical care in this patient population include diminished adherence to treatment and preventative recommendations, lack of willingness to engage in self-care activities, decreased access to affordable medical care, underestimation of risk by physicians, and adverse effects of commonly prescribed psychiatric medications. When managing patients with mental illness it is necessary to estimate the patient's metabolic and cardiovascular risk, monitor BMI, waist circumference, fasting glucose, and lipid profile regularly, evaluate psychiatric medications metabolic risk, and choose less "metabolically threatening" drugs. The promotion of healthy lifestyle choices among persons with serious mental illness is essential not only as part of their recovery, but as an integral part of preventing metabolic changes and weight gain linked to their illness and medication side effects. In patients with mental illness and co-morbid diabetes, metabolic syndrome, and obesity, psychiatrist and primary care clinicians should collaborate to establish a plan for healthy lifestyle habits (diet and activity regimen), encourage weight loss, and follow-up regularly using multispecialty teams to improve management.

Metformin for obesity and glucose dysregulation in patients with schizophrenia receiving antipsychotic drugs

Antipsychotic drug-induced weight gain and glucose dysregulation add to the cardiovascular risk of patients with schizophrenia and contribute to their early mortality. The currently recommended interventions to address the metabolic complications of antipsychotic drug treatment are to switch the patient from an antipsychotic drug with high metabolic liability to one with a lower liability and to implement lifestyle changes. These interventions can be quite challenging to carry out. So far the progress in improving the metabolic and cardiovascular outcome of patients with major mental illness has been disappointing. We offer an overview of the literature on metformin for antipsychotic drug-induced weight gain and glucose dysregulation and pertinent literature from the Diabetes Prevention Program. We conclude that young adults with schizophrenia newly exposed to antipsychotic drugs, who show a pattern of rapid weight gain and/or glucose dysregulation, are prime candidates for metformin if switching the antipsychotic medication to one with a lower metabolic burden is not an option or does not curtail the weight gain and/or adverse metabolic effects. Metformin therapy should not preclude healthy lifestyle interventions.

Metformin for olanzapine-induced weight gain: a systematic review and meta-analysis

Olanzapine is an atypical antipsychotic that is useful in schizophrenia and bipolar affective disorder, but its use is associated with troublesome weight gain and metabolic syndrome. A variety of pharmacological agents has been studied in the efforts to reverse weight gain induced by olanzapine, but current evidence is insufficient to support any particular pharmacological approach. We conducted a systematic review and meta-analysis of randomized controlled trials of metformin for the treatment of olanzapine-induced weight gain. Systematic review of the literature revealed 12 studies that had assessed metformin for antipsychotic-induced weight gain. Of these, four studies (n= 105) met the review inclusion criteria and were included in the final analysis. Meta-analysis was performed to see the effect size of the treatment on body weight, waist circumference and body-mass index (BMI). Weighted mean difference (WMD) for body weight was 5.02 (95% CI 3.93, 6.10) kg lower with metformin as compared with placebo at 12 weeks. For waist circumference, the test for heterogeneity was significant (P= 0.00002, I(2) = 85.1%). Therefore, a random effects model was used to calculate WMD, which was 1.42 (95% CI 0.29, 3.13) cm lower with metformin as compared with placebo at 12 weeks. For BMI, WMD was 1.82 (95% CI 1.44, 2.19) kg m(-2) lower with metformin as compared with placebo at 12 weeks. Existing data suggest that short term modest weight loss is possible with metformin in patients with olanzapine-induced weight gain.

Changes in body weight, body composition and cardiovascular risk factors after long-term nutritional intervention in patients with severe mental illness: an observational study

BACKGROUND

Compared with the general population, individuals with severe mental illness (SMI) have increased prevalence rates of obesity and greater risk for cardiovascular disease. This study aimed to investigate the effects of a long term nutritional intervention on body weight, body fat and cardiovascular risk factors in a large number of patients with SMI.

METHODS

Nine hundred and eighty-nine patients with a mean ± S.D age of 40 ± 11.7 yrs participated in a 9 mo nutritional intervention which provided personalised dietetic treatment and lifestyle counselling every two weeks. Patients had an average body mass index (BMI) of 34.3 ± 7.1 kg x m(-2) and body weight (BW) of 94.9 ± 21.7 kg. Fasted blood samples were collected for the measurement of glucose, total cholesterol, triglycerides and HDL-cholesterol. All measurements were undertaken at baseline and at 3 mo, 6 mo and 9 mo of the nutritional intervention.

RESULTS

Four hundred and twenty-three patients of 989 total patients' cases (42.8%) dropped out within the first 3 months. Two hundred eighty-five completed 6 months of the program and 145 completed the entire 9 month nutritional intervention. There were progressive statistically significant reductions in mean weight, fat mass, waist and BMI throughout the duration of monitoring (p < 0.001). The mean final weight loss was 9.7 kg and BMI decreased to 30.7 kg x m(-2) (p < 0.001). The mean final fat mass loss was 8.0 kg and the mean final waist circumference reduction was 10.3 cm (p < 0.001) compared to baseline. Significant and continual reductions were observed in fasting plasma glucose, total cholesterol and triglycerides concentrations throughout the study (p < 0.001).

CONCLUSION

The nutritional intervention produced significant reductions in body weight, body fat and improved the cardiometabolic profile in patients with SMI. These findings indicate the importance of weight-reducing nutritional intervention in decreasing the cardiovascular risk in patients with SMI.

Preventing breast cancer in women with schizophrenia

OBJECTIVE

To record risk factors for breast cancer in women with schizophrenia and recommend preventive actions.

METHOD

A PubMed literature search (from 2005 to 2010) was conducted, using the search terms 'schizophrenia', 'antipsychotics', 'breast cancer' and 'risk factors'.

RESULTS

Several risk factors of relevance to schizophrenia were identified: obesity, elevated prolactin levels, low participation in mammography screening, high prevalence of diabetes, comparatively low parity, low incidence of breastfeeding, social disadvantage, high levels of smoking and alcohol consumption, low activity levels.

CONCLUSION

Awareness of breast cancer risk should lead to more accurate risk ascertainment, stronger linkage with primary care, regular monitoring and screening, judicious choice and low dose of antipsychotic treatment, concomitant use of adjunctive cognitive and psychosocial therapies, referral to diet and exercise programmes as well as smoking and drinking cessation programmes, avoidance of hormonal treatment and discussion with patient and family about the pros and cons of preventive measures in high-risk women. Psychiatrists are in a position to reverse many of the identified risk factors.

The paradox of premature mortality in schizophrenia: new research questions

The life expectancy of patients with schizophrenia is reduced by between 15 and 25 years. Those patients dying of natural causes die of the same diseases as in the general population. In 2009 the World Health Organization (WHO) identified underlying global risk factors for mortality in the general population. However, there is little evidence in the literature assessing their validity in those with schizophrenia. The WHO report on global health risks (2009) identifies hypertension, smoking, raised glucose, physical inactivity, overweight and obesity, and high cholesterol as the six leading global mortality risk factors. Currently, there are minimal data on the contribution to mortality that these risk factors make in schizophrenia, and their optimum management. Both short and long-term studies are needed to address these gaps. New research has raised important questions about risk balance with regards to ideal body mass, with some studies showing that being overweight is associated with lower all-cause mortality and lower suicide rates. Cardiorespiratory fitness is being recognized as a more powerful predictor of mortality than smoking, hypertension or diabetes in men. However, there are virtually no published data on assessment of fitness levels in schizophrenia. New studies have raised concerns about the quality of physical care for patients with schizophrenia, which is another important avenue of future research. A greater biological understanding of the relationship between these disorders and schizophrenia would inform clinical practice. Low birth weight has been associated with increased risk for schizophrenia, and it will be important to explore this risk factor for both physical and mental health outcomes.

Are there modifiable risk factors which will reduce the excess mortality in schizophrenia?

The 2009 World Health Organization report on global health risks identifies hypertension, smoking, raised glucose, physical inactivity, obesity and dyslipidaemia, in that order, as being the top six modifiable global mortality risk factors. Patients with schizophrenia have high levels of all these risk factors. There are a small number of studies showing that interventions can improve these, but prospective long-term studies are not available to show their impact on mortality. A number of studies are now supporting the view that patients with schizophrenia may be dying prematurely as they are not gaining access to or receiving the same medical care as the general population. The literature now suggests that low cardiorespiratory fitness and muscle strength are among the strongest predictors of all-cause mortality in the general population. Smoking is still one of the largest risk factors for premature all-cause mortality. The literature supports the thesis that lifestyle intervention programmes addressing exercise, smoking cessation and compliance with medication are likely to have significant impact on mortality in schizophrenia. It will be important to ensure that all patients with schizophrenia have advocates to ensure appropriate treatment and avoid prejudice, and to establish fitness standards in schizophrenia.

Metabolic syndrome with the atypical antipsychotics

PURPOSE OF REVIEW

Metabolic syndrome and cardiovascular diseases are important causes of morbidity and mortality among patients with severe mental illnesses. Atypical or second-generation antipsychotics (SGAs) are associated with obesity and other components of metabolic syndrome, particularly abnormal glucose and lipid metabolism. This review aims to provide a summary of recent evidence on metabolic risks associated with SGAs, current recommendations for metabolic monitoring, and efficacy of treatment options currently available.

RECENT FINDINGS

Studies have identified younger, antipsychotic-naive patients with first-episode psychosis as a population vulnerable to adverse metabolic effects from SGAs. These patients gained more weight and developed evident lipid and glucose abnormalities as soon as 8-12 weeks after treatment initiation. Findings are more striking among children and adolescents. The differential effects of various SGAs are well described, with clozapine and olanzapine associated with the highest metabolic risk. In addition to behavioral therapy, emerging data suggest that pharmacological therapy, most notably metformin, is efficacious in the treatment and possibly prevention of SGA-associated metabolic derangements.

SUMMARY

More data have become available on the burden from metabolic complications associated with SGAs. New and effective treatment options are required in the near future to improve cardiovascular health in this susceptible population.

Swedish clinical guidelines--prevention and management of metabolic risk in patients with severe psychiatric disorders

Individuals with severe psychiatric disorders are more likely than the population at large to develop metabolic derangements such as overweight and diabetes. Cardiovascular disease is also more frequently seen in this group. Contributing factors may include inappropriate diet or lack of physical activity, but antipsychotic medication may also play a role. Seven Swedish specialist medical societies have collaborated in formulating a set of concise clinically applicable guidelines-reproduced here in modified form-for the prevention and management of metabolic risk in this patient group. The importance of implementation is emphasized.