Abstract
Metabolic syndrome and other cardiovascular risk factors are highly prevalent in people with schizophrenia. Patients are at risk for premature mortality and overall have limited access to physical health care. In part these cardio-metabolic risk factors are attributable to unhealthy lifestyle, including poor diet and sedentary behaviour. But over recent years it has become apparent that antipsychotic agents can have a negative impact on some of the modifiable risk factors. The psychiatrist needs to be aware of the potential metabolic side effects of antipsychotic medication and to include them in the risk/benefit assessment when choosing a specific antipsychotic. He should also be responsible for the implementation of the necessary screening assessments and referral for treatment of any physical illness. Multidisciplinary assessment of psychiatric and medical conditions is needed. The somatic treatments offered to people with severe and enduring mental illness should be at par with general health care in the non-psychiatrically ill population.
Keywords: Metabolic syndrome, schizophrenia, antipsychotics
People with severe mental illnesses (SMI), such as schizophrenia, have a reduced life expectancy compared to the general population 1 - 13. They have a 2-3 fold increased risk of dying, and this mortality gap associated with mental illness compared to the general population has widened in recent decades 13. People with severe mental illness have nearly twice the normal risk of dying from cardiovascular disease (CVD) 1 - 13.
In the psychiatric community, this has led in recent years to a growing concern about physical illness in people with SMI, specifically CVD risk 14 - 24. People with SMI are more likely to be overweight, to smoke and to have hyper- glycaemia/diabetes, hypertension and dyslipidaemia (Table 1). With an overall increased risk of somatic comorbidities, patients with schizophrenia have poorer access and quality of physical health care 7 - 25 - 27.
Table 1.
Estimated prevalence, % (RR) | ||
Modifiable risk factors | Schizophrenia | Bipolar disorder |
Obesity | 45-55 (1.5-2) | 21-49 (1-2) |
Smoking | 50-80 (2-3) | 54-68 (2-3) |
Diabetes | 10-15 (2) | 8-17 (1.5-2) |
Hypertension | 19-58 (2-3) | 35-61 (2-3) |
Dyslipidaemia | 25-69 (≤5) | 23-38 (≤3) |
Metabolic syndrome | 37-63 (2-3) | 30-49 (1.5-2) |
In part these cardio-metabolic risk factors are attributable to unhealthy lifestyle, including poor diet and sedentary behaviour. But over recent years it has become apparent that antipsychotic agents (AP) can have a negative impact on some of the modifiable risk factors 7 - 14 - 15 - 42(Table 2). Part of this negative impact can be explained by the liability of some antipsychotics to induce significant weight gain. A recent study indicates that these metabolic changes are dose independent 42.
Table 2.
Antipsychotic | Weight gain | Risk for diabetes | Worsening |
lipid profile | |||
Clozapine | +++ | + | + |
Olanzapine | +++ | + | + |
Risperidone | ++ | ? | ? |
Quetiapine | ++ | ? | ? |
Aripiprazole | ± | No report | No report |
Ziprasidone | ± | No report | No report |
Amisulpride | ± | No report | No report |
Metabolic syndrome (MetS) brings together a series of abnormal clinical and metabolic findings which are predictive of CVD risk, though there is continuing debate around the use of the term 44 - 50. The causes of MetS are not fully understood, but there is a central role of visceral adiposity and insulin resistance. The most commonly used definitions for the MetS are the Adult Treatment Panel III (ATP III) of the National Cholesterol Education Program (NCEP) 46, and the adapted ATP III-A proposed by the American Heart Association following the American Diabetes Association lowering of the threshold for impaired fasting glucose to 100 mg/dl 45 - 47. A more recent definition, by the International Diabetes Federation 45 - 49, stressed the importance of waist circumference, using both more stringent and ethnic/race specific criteria (Table 3).
Table 3.
ATP III | ATP III A | IDF | |
(3 out of 5 criteria required) | (3 out of 5 criteria required) | (waist plus 2 criteria required) | |
Waist (cm) | M >102, F >88 | M >102, F >88 | M ≥94, F ≥80 |
Blood pressure | ≥130/85* | ≥130/85* | ≥130/85* |
HDL (mg/dl) | M <40, F <50 | M <40, F <50 | M <40, F <50 |
Triglycerides (≥150 mg/dl) | ≥150 | ≥150 | ≥150 |
Glucose (mg/dl) | ≥110** | ≥100** | ≥100** |
In the general population, the presence of MetS is a strong predictor of CVD, CVD mortality and diabetes 50 - 58.
A joint statement from the American Diabetes Association and the European Association for the Study of Diabetes concluded recently that the metabolic syndrome has been imprecisely defined, there is a lack of certainty regarding its pathogenesis, and there is considerable doubt regarding its value as a CVD risk marker. They recommended that, until further research has been carried out, clinicians should evaluate and treat all CVD risk factors whether or not patients meet the criteria for diagnosis of the MetS 59 - 60.
The concept of MetS has found its way into the psychiatric literature, helping psychiatric clinicians to focus more on CVD risk in patients treated with antipsychotics 34 - 35 - 61.
We conducted a systematic review on the prevalence and incidence of metabolic syndrome in patients suffering from schizophrenia. A literature search for relevant articles was carried out in two steps. First, articles published until August 1, 2008 were identified by PubMed search, using metabolic syndrome, antipsychotic(s), psychotic disorder and schizophrenia as key words. Second, a hand search was conducted based on the bibliography of the identified articles.
Since the first paper on MetS in patients with schizophrenia published in 2003, more than 30 studies have become available. Prevalence and incidence studies using different MetS criteria are shown in Tables 4 and 5 62 - 99. Studies in different ethnic groups consistently show elevated prevalences of MetS in patients with schizophrenia. If population comparison data are available, the rates of MetS are 2 to 3 fold higher in patients. In studies where a comparison was possible between antipsychotic medications, a differential relative metabolic risk between agents was confirmed.
Table 4.
Study | Country | N | Design | Mean age | % MetS | Criteria |
Heiskanen et al (78) | Finland | 35 | 44.5 | 37.1 | ATP III | |
Almeras et al (62) | Canada | 42 | Olanzapine | 31.7 | 33.0 | ATP III |
Canada | 45 | Risperidone | 28.4 | 11.0 | ||
Basu et al (65) | USA | 33 | Schizoaffective disorder | 44.5 | 42.4 | ATP III |
Cohn et al (68) | Canada | 240 | 42.7 | 44.6 | ATP III | |
Kato et al (80) | USA | 48 | 40.3 | 63.0 | ATP III | |
Straker et al (96) | USA | 89 | 39.8 | 29.2 | ATP III | |
Meyer et al (83) | USA | 1231 | 42.8 | 35.8 | ATP III | |
McEvoy et al (82) | USA | 342 | White males | 39.8 | 40.9 | ATP III |
92 | White females | 44.2 | 56.2 | ATP III | ||
Saari et al (88) | Finland | 31 | 31.0 | 19.4 | ATP III | |
Correll et al (69) | USA | 367 | 42.9 | 37.3 | ATP III | |
De Hert et al (71) | Belgium | 430 | 36.5 | 32.3 | ATP III-A | |
De Hert et al (72) | Belgium | 415 | 37.7 | 33.3 | IDF | |
100 | First episode (maximal duration 2 year illness) | 25.7 | 17.0 | IDF | ||
130 | Duration illness <10 years | 29.0 | 28.5 | IDF | ||
106 | Duration illness 10 to 20 years | 39.0 | 42.4 | IDF | ||
79 | Duration illness >20 years | 49.8 | 49.4 | IDF | ||
Hagg et al (77) | Sweden | 269 | 46.0 | 34.6 | ATP III | |
Lamberti et al (81) | USA | 93 | Clozapine | 34.4 | 53.8 | ATP III |
Meyer et al (84) | USA | 80 | 49.0 | 51.2 | ATP III | |
Bobes et al (66) | Spain | 1452 | 40.7 | 24.6 | ATP III | |
Correll et al (70) | USA | 294 | 43.6 | 34.3 | ATP III | |
De Hert et al (73) | Belgium | 208 | Antipsychotic monotherapy | 33.7 | 27.9 | ATP III-A |
23 | 3 months after start amisulpride | 33.7 | 13.0 | ATP III-A | ||
31 | 3 months after start aripiprazole | 33.7 | 9.7 | ATP III-A | ||
25 | 3 months after start clozapine | 33.7 | 56.0 | ATP III-A | ||
54 | 3 months after start olanzapine | 33.7 | 33.3 | ATP III-A | ||
25 | 3 months after start quetiapine | 33.7 | 32.0 | ATP III-A | ||
50 | 3 months after start risperidone | 33.7 | 24.0 | ATP III-A | ||
L’Italien et al (79) | USA | 155 | Placebo trials, placebo endpoint | 41.4 | 25.8 | ATP III |
267 | Placebo trials, aripiprazole endpoint | 40.7 | 19.9 | ATP III | ||
373 | Active comparator trials, olanzapine endpoint | 37.7 | 41.6 | ATP III | ||
380 | Active comparator trials, aripiprazole endpoint | 37.6 | 27.9 | ATP III | ||
Mulder et al (85) | Netherlands | 112 | 36.0 | 25.0 | ATP III | |
Sicras-Mainar et al | Spain | 742 | Different diagnosis treated with antipsychotics | 55.1 | 27.0 | ATP III |
(94) | 57 | 37.5 | 35.0 | IDF | ||
Srisurapanont et al | Thailand | 38 | 53.7 | 36.2 | ATP III | |
(95) | 44 | 44.3 | 31.8 | ATP III-A | ||
Suvisaari et al (97) | Finland | 108 | 34.6 | 34.0 | ATP III-A | |
Teixeira and Rocha | Brazil | 122 | First episode, before treatment with FGA | 23.1 | 5.7 | ATP III-A |
(98) | 122 | First episode, 3 year FGA | 26.8 | 13.1 | ATP III-A | |
Cerit et al (67) | Turkey | 108 | First episode, before treatment with SGA | 21.9 | 5.6 | ATP III-A |
De Hert et al (74) | Belgium | 108 | First episode, 3 year SGA | 25.1 | 31.6 | ATP III-A |
2270 | 41.0 | 33.9 | ATP III-A | |||
De Hert et al (75) | Europe | 58 | 36.3 | 40.0 | ATP III-A | |
Ellingrod et al (76) | USA | 99 | First episode after treatment | 26.1 | 18.2 | IDF |
Saddichha et al (90) | India | 433 | 38.0 | 34.0 | ATP III | |
Schorr et al (91) | Netherlands | 53 | 35.0 | 45.0 | ATP III | |
Schorr et al (92) | Netherlands | 260 | 28.0 | 35.0 | ATP III | |
Schorr et al (93) | Netherlands | 503 | Schizophrenia | 34.8 | 28.8 | ATP III-A |
van Winkel et al (99) | Belgium | 92 | Schizoaffective disorder | 40.7 | 50.0 | ATP III-A |
Table 5.
Study | Country | N | Design | Mean age | % MetS | Criteria |
De Hert et al (71) | Belgium | 31 | Baseline aripiprazole | 36.7 | 61.3 | ATP III-A |
Endpoint aripiprazole | 36.7 | 29.0 | ATP III-A | |||
Attux et al (64) | Brazil | 44 | First episode 6 months | 26.3 | 6.8 | ATP III |
De Hert et al (73) | Belgium | 155 | After 3 months SGA | 33.7 | 18.7 | ATP III-A |
16 | After 3 months amisulpride | 33.7 | 6.3 | ATP III-A | ||
16 | After 3 months aripiprazole | 33.7 | 0.0 | ATP III-A | ||
20 | After 3 months clozapine | 33.7 | 45.0 | ATP III-A | ||
45 | After 3 months olanzapine | 33.7 | 24.4 | ATP III-A | ||
21 | After 3 months quetiapine | 33.7 | 19.1 | ATP III-A | ||
37 | After 3 months risperidone | 33.7 | 10.8 | ATP III-A | ||
L’Italien et al (79) | USA | 91 | Placebo trials, placebo | 41.4 | 14.3 | ATP III |
151 | Placebo trials, aripiprazole | 40.7 | 5.3 | ATP III | ||
212 | Active comparator trials, olanzapine | 37.7 | 27.4 | ATP III | ||
198 | Active comparator trials, aripiprazole | 37.6 | 15.7 | ATP III | ||
Saddichha et al (89) | India | 30 | First episode 6 weeks | 26.9 | 27.5 | IDF |
Srisurapanont et al (95) | Thailand | 35 | Naturalistic 1 year follow-up | 34.7 | 20.0 | IDF |
De Hert et al (74) | Belgium | 122 | First episode, 3 year FGA | 26.8 | 9.8 | ATP III-A |
108 | First episode, 3 year SGA | 25.1 | 27.8 | ATP III-A | ||
8 | First episode, 3 year amisulpride | 25.1 | 12.5 | ATP III-A | ||
10 | First episode, 3 year aripiprazole | 25.1 | 0.0 | ATP III-A | ||
12 | First episode, 3 year clozapine | 25.1 | 50.0 | ATP III-A | ||
34 | First episode, 3 year olanzapine | 25.1 | 41.3 | ATP III-A | ||
24 | First episode, 3 year quetiapine | 25.1 | 12.6 | ATP III-A | ||
20 | First episode, 3 year risperidone | 25.1 | 10.2 | ATP III-A | ||
Meyer et al (84) | USA | 164 | Baseline olanzapine | 40.9 | 34.8 | ATP III-A |
After 3 months olanzapine | 40.9 | 43.9 | ATP III-A | |||
147 | Baseline risperidone | 40.9 | 30.6 | ATP III-A | ||
After 3 months risperidone | 40.9 | 30.6 | ATP III-A | |||
143 | Baseline quetiapine | 40.9 | 37.8 | ATP III-A | ||
After 3 months quetiapine | 40.9 | 37.1 | ATP III-A | |||
77 | Baseline ziprasidone | 40.9 | 37.7 | ATP III-A | ||
After 3 months ziprasidone | 40.9 | 29.9 | ATP III-A | |||
129 | Baseline perphenazine | 40.9 | 37.2 | ATP III-A | ||
After 3 months perphenazine | 40.9 | 38.0 | ATP III-A | |||
Schorr et al (93) | Netherlands | 260 | 12 months incidence | 41.0 | 14.0 | ATP III |
12 months reversibility | 37.0 | 33.0 | ATP III |
In the largest study, the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE), approximately one third of patients met NCEP criteria for metabolic syndrome at baseline 82 - 83. A troubling finding was that 88% of patients with dyslipidaemia were not receiving treatment, as were 62% of the hypertensive patients and 38% of those with diabetes (100). Some antipsychotic agents were associated with more significant adverse effects on weight, lipids, and glucose metabolism than others 25 - 41 - 84.
A large Belgian study found similar rates of MetS, which were 2 to 3 fold higher than in an age-adjusted population sample 71 - 72. The prevalence of diabetes per age-band was 4-5 times higher in schizophrenia patients than in the general population.
In a recent study of metabolic syndrome in patients diagnosed with schizophrenia in 2000-2006 compared to 1984-1995, those started on second generation antipsychotics (SGA) had over twice the rate of new incident cases of metabolic syndrome after three years, compared to those treated with first generation antipsychotic agents (27.8% vs. 9.8%) 73. In patients without metabolic syndrome at baseline, the risk of developing this combination of metabolic abnormalities was significantly greater in patients started on SGA (odds ratio 3.6).
For the increased risk of MetS and other metabolic abnormalities in patients with schizophrenia, three complementary and partially overlapping causes are put forward in the literature: lifestyle factors, aspects of the psychotic disorder and antipsychotic medication. A number of recent studies explore the underlying genetic risk for the development of metabolic abnormalities 76 - 85 -101. Future studies will need to address possible gene-environment interactions with specific antipsychotic agents 101.
People with schizophrenia on average have a lifestyle which increases their risk for the development of MetS: sedentary lifestyle, lack of regular physical activity, poor food intake, substance use and high rates of smoking 25 - 38 - 39. Part of these lifestyle factors are influenced by aspects of the illness such as negative symptoms and vulnerability to stress. Older studies have showed an increased liability for people with schizophrenia to develop metabolic abnormalities in the absence of antipsychotic medication, and there are indications of an increased risk for diabetes in first-degree relatives 21 - 25 - 39. Also, some studies have showed increased visceral adiposity, elevated glycaemia and higher cortisol levels in first-episode patients before treatment 25 - 40 - 41. A recent study showed that people with schizoaffective disorder have a higher vulnerability to develop MetS compared to people with bipolar disorder or schizophrenia 99.
The increased risk to develop MetS under antipsychotic agents is in part related to their propensity to induce weight gain. Although all antipsychotics can induce weight changes, the relative risk to induce clinically relevant weight changes (>7% increase) is clearly different between antipsychotic agents 25 - 29 -31. In up to 25% of cases of MetS under antipsychotic treatment, no weight gain or increased abdominal adiposity was present, suggesting a direct link between the antipsychotic agent and the development of metabolic abnormalities 25. Some authors link the receptor profile of antipsychotics to their differential liability to induce weight gain and other metabolic changes 25 - 29 - 33 -41. Antagonism for muscarinergic receptors could lead to more pronounced weight gain. Antipsychotics can lead to increased appetite by interfering with the dopamine reward system 32. There is emerging data that glucose abnormalities can occur soon after initiation of treatment and that these can be reversible after discontinuation of medication, indicating a direct effect on pancreatic function 25 - 38 - 39 - 42.
Growing evidence suggests that children and adolescents who take antipsychotic medication are at higher risk of weight gain and metabolic effects than adults who use the same drugs 102 - 104.
GUIDELINES FOR SCREENING AND MONITORING
Prevention should be key. Clinicians should take into account both the present CVD risk as well as the metabolic risk profile of the antipsychotic chosen. To avoid weight gain, diet and lifestyle interventions should be started early after treatment initiation.
Despite the risks, many patients with SMI have limited access to general healthcare, with less opportunity for cardiovascular risk screening and prevention than would be expected in a non-psychiatric population 7 - 25 - 27. There is a lack of consensus over who should take responsibility for the general healthcare needs of mental health patients, which has resulted in a continuing failure to provide appropriate services. General health care needs in this population are commonly neglected and psychiatrists mainly focus on efficacy of treatment of psychotic symptoms.
Over recent years, both national and international groups have developed screening and monitoring guidelines 14 - 105 - 112, but these have not made their way to routine clinical care for patients 113 - 114.
Before start of treatment, the cardio-metabolic risk profile of a patient should be assessed. At the start of treatment, patients should be closely monitored for the relevant metabolic parameters. An easy screening tool for MetS is the measurement of waist circumference in combination with fasting glucose (sensitivity 100%) 96.
Lifestyle interventions, with diet, increased physical activity and smoking cessation, are the first-line treatments to decrease the risk for CVD in people with MetS 8. The Adult Treatment Panel guidelines recommend a reduced intake of saturated fat and cholesterol, increased intake of fibres and increased physical activity 46. A reduction of 10% of cholesterol levels results in a 30% reduction of CVD risk. A lowering of blood pressure of 4 to 6% decreases CVD risk 15%. Smoking cessation would result in a 50 to 70% lowering of CVD prevalence. Maintaining a body mass index below 25 lowers CVD risk 35 to 55%, and having active lifestyle (20 minutes brisk walk a day) results in a similar decrease of risk 8. These data also apply for people with severe mental illness, but no studies are available that confirm that short-term beneficial effects of lifestyle interventions result in long-term changes 115 - 116wever, there is growing evidence that lifestyle interventions can be effective for groups of patients with schizophrenia.
There is a general consensus that physical activity has a mild to moderate favorable effect on many metabolic and cardiovascular risk factors that constitute or are related to the MetS 117. Regular physical activity is effective in prevention and treatment of hypertension 118 - 119esity 120, impaired glucose tolerance and diabetes 121 and dyslipidaemia 122. Therefore, it should be an important component in multidisciplinary programs for people with schizophrenia. At the moment, identifying an optimal dose or intervention strategy for physical activity programs in people who have schizophrenia is not possible 123. The current guidelines for the general population of accumulating 30 min of moderate lifestyle physical activity, five days a week 124 should also be applied to people who have schizophrenia. Compliance with these guidelines appears to markedly decrease the likelihood of MetS especially in high risk groups 117. In physical activity related treatment programs for people who have schizophrenia, special attention could be given to the specific cardio-metabolic comorbidities by using the physical activity recommendations for chronic somatic diseases 125. A physical activity program should be adapted to the patients’ previous experiences, their attitude towards physical activity, their personal preferences and objectives.
If a patient develops metabolic abnormalities (e.g., weight gain, increased blood pressure, glucose or lipid levels) following initiation of antipsychotic therapy, consideration should be given to switching the patients to an SGA which has not been associated with significant weight gain or diabetes. Initiation of appropriate blood pressure, glucose or lipid lowering therapy should also be considered, in consultation with the patient’s general practitioner when that is possible, or with a specialist physician when this is considered appropriate. Until recently, there was no data on the safety and efficacy of statins in patients also exposed to antipsychotics. In patients with schizophrenia, statins were an effective and safe treatment for severe dyslipidaemia but they did not succeed in reversing MetS 126 - 127
A European current update of screening and monitoring guidance is being produced 128 - 129and an update of the ADA/APA 2004 consensus document is expected to be published this year 14.
CONCLUSIONS
MetS and other CVD risk factors are highly prevalent in people with SMI. The psychiatrist needs to be aware of the potential metabolic side effects of antipsychotic medication and to include them in the risk/benefit assessment when choosing a specific antipsychotic. He should also be responsible for the implementation of the necessary screening assessments and referral for treatment of any physical illness. Multidisciplinary assessment of psychiatric and medical conditions is needed. Psychiatric treatment facilities should offer and promote healthy lifestyle interventions. The somatic treatments offered to people with severe and enduring mental illness should be at par with general health care in the non-psychiatrically ill population.
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