Joseph P. McEvoy

Prevalence of the metabolic syndrome in patients with schizophrenia: baseline results from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial and comparison with national estimates from NHANES III.

UNLABELLED One important risk factor for cardiovascular disease is the metabolic syndrome (MS), yet limited data exist on its prevalence in US patients with schizophrenia. METHODS Using baseline data from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Schizophrenia Trial, assessment of MS prevalence was performed based on National Cholesterol Education Program (NCEP) criteria, and also using a fasting glucose threshold of 100 mg/dl (AHA). Subjects with sufficient anthropometric data, data on use of antihypertensives, hypoglycemic medications or insulin, and fasting glucose and lipid values >8 h from last meal were included in the analysis. Comparative analyses were performed using a randomly selected sample from NHANES III matched 1:1 on the basis of age, gender and race/ethnicity. RESULTS Of 1460 CATIE baseline subjects, 689 met analysis criteria. MS prevalence was 40.9% and 42.7%, respectively using the NCEP and AHA derived criteria. In females it was 51.6% and 54.2% using the NCEP and AHA criteria, compared to 36.0% (p = .0002) and 36.6% (p = .0003), respectively for males. 73.4% of all females (including nonfasting subjects) met the waist circumference criterion compared to 36.6% of males. In a logistic regression model with age, race and ethnicity as covariates, CATIE males were 138% more likely to have MS than the NHANES matched sample, and CATIE females 251% more likely than their NHANES counterparts. Even when controlling for differences in body mass index, CATIE males were still 85% more likely to have MS than the NHANES male sample, and CATIE females 137% more likely to have MS than females in NHANES. CONCLUSIONS The metabolic syndrome is highly prevalent in US schizophrenia patients and represents an enormous source of cardiovascular risk, especially for women. Clinical attention must be given to monitoring for this syndrome, and minimizing metabolic risks associated with antipsychotic treatment.

Low rates of treatment for hypertension, dyslipidemia and diabetes in schizophrenia: Data from the CATIE schizophrenia trial sample at baseline

UNLABELLED Persons diagnosed with schizophrenia have higher morbidity and mortality rates from cardiovascular disease, yet often have limited access to appropriate primary care screening or treatment. Metabolic disorders such as diabetes, hyperlipidemia and hypertension are highly prevalent in populations with schizophrenia, exceeding 50% in some studies; however, there have been few published studies on treatment rates among schizophrenia patients screened for these disorders. METHODS Using the baseline data from subjects (N=1460) recruited into the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia study, we examined the point prevalence of diabetes, hyperlipidemia and hypertension treatment at the time of enrollment for the entire cohort and those with fasting laboratory values obtained 8 or more hours since last meal. RESULTS Rates of non-treatment ranged from 30.2% for diabetes, to 62.4% for hypertension, and 88.0% for dyslipidemia. Nonwhite men were more likely to be treated for DM and dyslipidemia than nonwhite women. CONCLUSIONS These data indicate the high likelihood that metabolic disorders are untreated in patients with schizophrenia, with particularly high rates of non-treatment for hypertension and dyslipidemia. Nonwhite women may be especially vulnerable to undertreatment of dyslipidemia and diabetes compared to nonwhite men. The findings here support the need for increased attention to basic monitoring and treatment of cardiovascular risk factors in this vulnerable and often underserved psychiatric population.

A comparison of ten-year cardiac risk estimates in schizophrenia patients from the CATIE study and matched controls

OBJECTIVE Standardized mortality rates are elevated in schizophrenia compared to the general population. The incidence of coronary heart disease (CHD) and the relative contribution of CHD to increased mortality in schizophrenia patients are not clear, despite recent concerns about metabolic complications of certain atypical antipsychotics. METHOD Ten-year risk for CHD was calculated for 689 subjects who participated in the Clinical Trials of Antipsychotic Treatment Effectiveness (CATIE) Schizophrenia Trial at baseline using the Framingham CHD risk function and were compared with age-, race- and gender-matched controls from the National Health and Nutrition Examination Survey (NHANES) III. RESULTS Ten-year CHD risk was significantly elevated in male (9.4% vs. 7.0%) and female (6.3% vs. 4.2%) schizophrenia patients compared to controls (p = 0.0001). Schizophrenia patients had significantly higher rates of smoking (68% vs. 35%), diabetes (13% vs. 3%), and hypertension (27% vs. 17%) and lower HDL cholesterol levels (43.7 vs. 49.3 mg/dl) compared to controls (p < 0.001). Only total cholesterol levels did not differ between groups. Ten-year CHD risk remained significantly elevated in schizophrenia patients after controlling for body mass index (p = 0.0001). CONCLUSIONS These results are consistent with recent evidence of increased cardiac mortality in schizophrenia patients. While the impact of cigarette smoking is clear, the relative contributions to cardiac risk of specific antipsychotic agents, diet, exercise, and quality of medical care remain to be clarified.

A Genome-Wide Investigation of SNPs and CNVs in Schizophrenia

We report a genome-wide assessment of single nucleotide polymorphisms (SNPs) and copy number variants (CNVs) in schizophrenia. We investigated SNPs using 871 patients and 863 controls, following up the top hits in four independent cohorts comprising 1,460 patients and 12,995 controls, all of European origin. We found no genome-wide significant associations, nor could we provide support for any previously reported candidate gene or genome-wide associations. We went on to examine CNVs using a subset of 1,013 cases and 1,084 controls of European ancestry, and a further set of 60 cases and 64 controls of African ancestry. We found that eight cases and zero controls carried deletions greater than 2 Mb, of which two, at 8p22 and 16p13.11-p12.4, are newly reported here. A further evaluation of 1,378 controls identified no deletions greater than 2 Mb, suggesting a high prior probability of disease involvement when such deletions are observed in cases. We also provide further evidence for some smaller, previously reported, schizophrenia-associated CNVs, such as those in NRXN1 and APBA2. We could not provide strong support for the hypothesis that schizophrenia patients have a significantly greater “load” of large (>100 kb), rare CNVs, nor could we find common CNVs that associate with schizophrenia. Finally, we did not provide support for the suggestion that schizophrenia-associated CNVs may preferentially disrupt genes in neurodevelopmental pathways. Collectively, these analyses provide the first integrated study of SNPs and CNVs in schizophrenia and support the emerging view that rare deleterious variants may be more important in schizophrenia predisposition than common polymorphisms. While our analyses do not suggest that implicated CNVs impinge on particular key pathways, we do support the contribution of specific genomic regions in schizophrenia, presumably due to recurrent mutation. On balance, these data suggest that very few schizophrenia patients share identical genomic causation, potentially complicating efforts to personalize treatment regimens.

Baseline neurocognitive deficits in the CATIE schizophrenia trial

Neurocognition is moderately to severely impaired in patients with schizophrenia. However, the factor structure of the various neurocognitive deficits, the relationship with symptoms and other variables, and the minimum amount of testing required to determine an adequate composite score has not been determined in typical patients with schizophrenia. An ‘all-comer’ approach to cognition is needed, as provided by the baseline assessment of an unprecedented number of patients in the CATIE (Clinical Antipsychotic Trials of Intervention Effectiveness) schizophrenia trial. From academic sites and treatment providers representative of the community, 1493 patients with chronic schizophrenia were entered into the study, including those with medical comorbidity and substance abuse. Eleven neurocognitive tests were administered, resulting in 24 individual scores reduced to nine neurocognitive outcome measures, five domain scores and a composite score. Despite minimal screening procedures, 91.2% of patients provided meaningful neurocognitive data. Exploratory principal components analysis yielded one factor accounting for 45% of the test variance. Confirmatory factor analysis showed that a single-factor model comprised of five domain scores was the best fit. The correlations among the factors were medium to high, and scores on individual factors were very highly correlated with the single composite score. Neurocognitive deficits were modestly correlated with negative symptom severity (r=0.13–0.27), but correlations with positive symptom severity were near zero (r<0.08). Even in an ‘all-comer’ clinical trial, neurocognitive deficits can be assessed in the overwhelming majority of patients, and the severity of impairment is similar to meta-analytic estimates. Multiple analyses suggested that a broad cognitive deficit characterizes this sample. These deficits are modestly related to negative symptoms and essentially independent of positive symptom severity.

Nicotine-haloperidol interactions and cognitive performance in schizophrenics

Nearly 90% of schizophrenics smoke cigarettes, considerably higher than the general populations rate of 25%. There is some indication that schizophrenics may smoke as a form of self-medication. Nicotine has a variety of pharmacologic effects that may both counteract some of the cognitive deficits of schizophrenia and counteract some of the adverse side effects of antipsychotic drugs. In the current study, we assessed the interactions of haloperidol and nicotine on cognitive performance of a group of schizophrenics. These patients were in a double-blind study, randomly assigning them to low, moderate, and high dose levels of haloperidol. The subjects, all smokers, came to the laboratory on four different mornings after overnight deprivation from cigarettes. In a double-blind fashion, they were administered placebo, low (7 mg/day), medium (14 mg/day), or high (21 mg/day) dose nicotine skin patches. Three hours after administration of the skin patch, the subjects were given a computerized cognitive test battery including: simple reaction time, complex reaction time (spatial rotation), delayed matching to sample, the Sternberg memory test, and the Conners continuous performance test (CPT). With the placebo nicotine patch, there was a haloperidol dose-related impairment in delayed matching to sample choice accuracy and an increase in response time on the complex reaction time task. Nicotine caused a dose-related reversal of the haloperidol-induced impairments in memory performance and complex reaction time. In the CPT, nicotine reduced the variability in response that is associated with attentional deficit. These results demonstrate the effects of nicotine in reversing some of the adverse side effects of haloperidol and improving cognitive performance in schizophrenia.

The expert consensus guideline series

Abstract Over the past decade, many new epilepsy treatments have been approved in the United States, promising better quality of life for many with epilepsy. However, clinicians must now choose among a growing number of treatment options and possible combinations. Randomized clinical trials (RCTs) form the basis for evidence-based decision making about best treatment options, but they rarely compare active therapies, making decisions difficult. When medical literature is lacking, expert opinion is helpful, but may contain potential biases. The expert consensus method is a new approach for statistically analyzing pooled opinion to minimize biases inherent in other systems of summarizing expert opinion. We used this method to analyze expert opinion on treatment of three epilepsy syndromes (idiopathic generalized epilepsy, symptomatic localization-related epilepsy, and symptomatic generalized epilepsy) and status epilepticus. For all three syndromes, the experts recommended the same general treatment strategy. As a first step, they recommend monotherapy. If this fails, a second monotherapy should be tried. Following this, the experts are split between additional trials of monotherapy and a combination of two therapies. If this fails, most agree the next step should be additional trials of two therapies, with less agreement as to the next best step after this. One exception to these recommendations is that the experts recommend an evaluation for epilepsy surgery after the third failed step for symptomatic localization-related epilepsies. The results of the expert survey were used to develop user-friendly treatment guidelines concerning overall treatment strategies and choice of specific medications for different syndromes and for status epilepticus.

Insight and the clinical outcome of schizophrenic patients.

At the time of discharge from their index hospitalizations, 52 schizopheric patients initially admitted for acute psychotic episodes were assessed on an Insight and Treatment Attitudes Questionnaire. When these patients were followed up 2½ to 3½ years later, adequate information on their clinical courses and outcomes was available in 46 cases. A global assessment of aftercare environment was made in each case, reflecting the degree to which individuals other than the patient were helpfully invested in maintaining the patient in treatment, whether these individuals were in the patients living or treatment situations. Five factual outcome variables were also assessed: a) compliance with treatment 30 days after discharge; b) long-term compliance; c) whether or not patients were readmitted; d) readmissions per year; and e) percent of time spent in the hospital. As expected, aftercare environment was significantly related to outcome (p = .039). The overall relationship between insight and the outcome variables closely approached statistical significance (p = .053). Patients with more insight were significantly less likely to be readmitted over the course of follow-up. There was a trend for patients with more insight to be compliant with treatment 30 days after discharge. No significant interaction between aftercare environment and insight was found, suggesting that insight may influence outcome independently of aftercare environment.

Change in metabolic syndrome parameters with antipsychotic treatment in the CATIE Schizophrenia Trial: Prospective data from phase 1

BACKGROUND The metabolic syndrome (MS) is associated with increased risk for diabetes mellitus and coronary heart disease, and is highly prevalent among schizophrenia patients. Given concerns over antipsychotic metabolic effects, this analysis explored MS status and outcomes in phase 1 of the CATIE Schizophrenia Trial. METHODS The change in proportion of subjects with MS and individual criteria was compared between antipsychotic treatment groups, along with mean changes for individual criteria. Primary analyses examined subjects with fasting laboratory assessments at baseline and 3 months. Other analyses examined 3-month changes in MS status, waist circumference (WC), HDL cholesterol and blood pressure in all subjects, metabolic changes at the end of phase 1 participation (EOP), and repeated measures changes in HDL, blood pressure (BP) and WC over phase 1. RESULTS At 3 months, there were no significant between-drug differences for the change in proportion of subjects meeting MS status or individual MS criteria in the smaller fasting cohort (n = 281) or for those meeting criteria for parameters not dependent on fasting status (BP, HDL, WC) among all subjects (n=660). Among all subjects whose MS status could be determined at 3 months (n=660), MS prevalence increased for olanzapine (from 34.8% to 43.9%), but decreased for ziprasidone (from 37.7% to 29.9%) (p=.001). Although effect sizes varied across subgroups, at 3 months olanzapine and quetiapine had the largest mean increase in waist circumference (0.7 in. for both) followed by risperidone (0.4 in.), compared to no change for ziprasidone (0.0 in.) and a decrease in waist circumference for perphenazine (-0.4 in.). Olanzapine also demonstrated significantly different changes in fasting triglycerides at 3 months (+21.5 mg/dl) compared to ziprasidone (-32.1 mg/dl). EOP exposure data was obtained, on average, nine months from baseline for all metabolic variables. Results from EOP and repeated measures analyses were consistent with those at 3 months for mean changes in WC and fasting triglycerides, but between group differences emerged for HDL and SBP. CONCLUSIONS This large non-industry sponsored study confirms the differential metabolic effects between antipsychotics. Clinicians are advised to monitor all metabolic parameters, including WC, HDL and serum triglycerides, during antipsychotic treatment.

Haloperidol increases smoking in patients with schizophrenia

Ten patients with schizophrenia participated in 120-min free-smoking sessions when actively psychotic and free of antipsychotic medications, and again after the initiation of haloperidol treatment. During these free-smoking sessions they had access to cigarettes ad libitum. Their expired air carbon monoxide (CO) and plasma nicotine and cotinine levels were measured at the end of the 120-min free-smoking sessions. These patients smoked more after starting haloperidol treatment, relative to their baseline rate of smoking when free of antipsychotic medications, as evidenced by significantly higher expired CO and plasma nicotine levels.