The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×
ArticlesFull Access

Prescription of Second-Generation Antipsychotics: Responding to Treatment Risk in Real-World Practice

Published Online:https://doi.org/10.1176/appi.ps.201200183

Abstract

Objective

This study sought to determine the extent of providers’ sensitivity to the presence of cardiometabolic disorders in the selection of second-generation antipsychotics.

Methods

As part of an academic detailing effort conducted between October 2007 and May 2009, all psychiatric providers at a single Veterans Affairs medical center completed a survey for every new prescription of an on-patent second-generation antipsychotic. The survey documented the drug prescribed, patients’ sociodemographic data, psychiatric and comorbid diagnoses, and reasons for the prescription. The association between obesity, hypertension, hyperlipidemia, diabetes, and cardiovascular disease and the choice of antipsychotics with varying levels of cardiometabolic risk was evaluated.

Results

Data consisted of 2,613 surveys completed by 259 providers. Olanzapine, with high cardiometabolic risk, and quetiapine and risperidone, with moderate risk, accounted for 79% of prescriptions. There was a significant (p<.001) association between the second-generation antipsychotic prescribed and obesity, hyperlipidemia, and diabetes but not hypertension or cardiovascular disease. The proportion of patients receiving olanzapine was only slightly smaller, by an average of 4 percentage points, among patients with cardiometabolic disorders than among patients without cardiometabolic disorders. The proportion of patients receiving aripiprazole, with little or no cardiometabolic risk, was consistently higher, by an average of only 2 percentage points, among patients with a cardiometabolic disorder versus without one.

Conclusions

Although this study found a statistically significant sensitivity by providers to cardiometabolic risk, this sensitivity was neither robust nor uniformly statistically significant. More research into how providers use medication risk information when making treatment decisions may help improve the quality of care.

There has been a dramatic increase in antipsychotic prescribing since the introduction of second-generation antipsychotics in the 1990s (1). Second-generation antipsychotics were thought initially to represent an improvement over first-generation antipsychotics because of a decreased risk of movement disorders and apparent superior efficacy (2,3). These perceived advantages led to a substantial expansion in both U.S. Food and Drug Administration (FDA) approved and off-label uses. Off-label use now accounts for a majority of second-generation antipsychotic prescriptions (4).

However, many second-generation antipsychotics are now known to be associated with weight gain as well as elevations in glucose and lipids, potentially increasing the risk of hyperlipidemia, diabetes, and cardiovascular disease. Also their superior efficacy and lower risk of neurological side effects compared with first-generation antipsychotics have been called into question by recent large, long-term comparative effectiveness trials (58).

The potential cardiometabolic risk associated with certain antipsychotics is an important factor in the decision to prescribe these agents, especially medications with the greatest metabolic risk—clozapine, olanzapine, and, to a lesser extent, quetiapine and risperidone. Olanzapine and clozapine have been associated with dose-related weight gains of almost 9 pounds over ten weeks (9,10) and 13–27 pounds over one year (11,12). Risperidone and quetiapine have been associated with more moderate weight gains of 4 pounds over ten weeks and 4–11 pounds over one year (13,14), and aripiprazole and ziprasidone have been associated with little or no weight gain (5,12). In addition, glucose and lipid metabolism are similarly affected, although this research is less well developed (15).

These findings have spawned several consensus recommendations for the monitoring, treatment, and differential use of these agents (15,16). However, the response by providers to these recommendations has not been studied, and an important question remains, Do clinicians avoid prescribing medications with more metabolic risk in favor of medications that are deemed less risky if there is evidence that a patient already has a metabolic condition? To address this question, we used data from a survey of prescribers administered at the time they initiated treatment with a second-generation antipsychotic to evaluate the relationship of obesity, hypertension, hyperlipidemia, diabetes mellitus, and cardiovascular disease among patients and the level of cardiometabolic risk posed by the specific agent selected. Furthermore, we evaluated the association between antipsychotic choices and the reasons prescribers gave for these selections as evidence for the justification of using high-risk medications.

Methods

Procedure

Data were gathered as part of an intervention at a single Veterans Health Administration (VHA) medical center conducted between October 2007 and May 2009. The facility provided outpatient and inpatient treatment to approximately 10,000 veterans with mental illness annually during this period (17). The intervention consisted of an educational session detailing the comparative efficacy and risks associated with second-generation antipsychotics and a survey of providers regarding decision making. The survey involved all clinicians, including psychiatric residents and fellows, attending psychiatrists, psychiatric advanced practice registered nurses, and psychiatric physician assistants, at the medical center. The prescription of on-patent second-generation antipsychotics was limited to these providers during this time period as a cost control measure.

A copy of the survey was electronically delivered to a provider whenever he or she ordered an on-patent second-generation antipsychotic as a new, nonrefill prescription. Completion was required before the prescription could be electronically sent to the pharmacy. Therefore, 100% of providers writing prescriptions for a second-generation antipsychotic were assumed to have been surveyed about 100% of patients receiving those agents. The institutional review boards of the Veterans Affairs Connecticut Healthcare System and Yale University approved this study.

Survey description

The survey consisted of 20 questions that documented the agent prescribed, sociodemographic data (age and race), psychiatric diagnoses under treatment, comorbid general medical diagnoses, the professional background of the provider, and health characteristics of the patient, such as weight and height. A list of forced-choice selections and room for write-in answers were given for each question. Providers identified the presence of seven comorbid conditions: tardive dyskinesia, extrapyramidal symptoms, akathisia, hyperlipidemia, obesity, hypertension, and atherosclerotic cardiovascular disease. In addition, providers identified reasons for prescribing the medication from the following list: intolerance to current drug; greater efficacy; lower risk of extrapyramidal symptoms; lower risk of tardive dyskinesia; lower risk of akathisia; less sedation; increased sleep or sedation; treatment of tardive dyskinesia; and patient preference.

Analysis

Body mass index (BMI) was calculated by dividing the individual's weight in pounds by the square of his or her height in inches multiplied by 703. According to the World Health Organization, BMI ≤18.5 indicates underweight; >18.5 and ≤25, normal weight; >25 and ≤30, overweight; and >30, obesity (18). Individuals who were underweight, normal weight, and overweight were grouped together and compared with the obese group. The presence of hyperlipidemia, hypertension, diabetes, or atherosclerotic cardiovascular disease was determined by positive responses to dichotomous survey questions.

The second-generation antipsychotics for which surveys were completed were ranked according to the risk of weight gain and cardiometabolic disorders, starting with olanzapine, with the highest risk, followed by quetiapine, oral risperidone, long-acting injectable risperidone, aripiprazole, and ziprasidone (12,15). Clozapine was not included because it was available as a generic.

We hypothesized that there would be relatively less use of high-risk agents and increased use of agents with less risk when obesity, hyperlipidemia, diabetes, hypertension, and cardiovascular disease were present. Chi square tests were used to evaluate the statistical significance of these associations. To evaluate the magnitude of these potential differences, we compared the proportions of patients with and without each cardiometabolic disorder who were prescribed each agent. We also analyzed differences in the proportion of agents of varying risk prescribed to patients with each cardiometabolic disorder.

To further investigate the selection of high-risk second-generation antipsychotics in the presence of cardiometabolic disorders, we used chi square tests to evaluate the reasons given for selection of each medication by cardiometabolic disorder.

Results

The analytic sample included 2,643 completed surveys. After excluding surveys (N=30) in which information on the agent prescribed was missing, the final sample included 2,613 surveys from 259 providers who prescribed on-patent second-generation antipsychotics. The patients’ mean±SD age was 54.6±14.6 years, and 1,991 (82%) patients were white, 427 (18%) black, and 12 (1%) classified as other race-ethnicity (Table 1). One-third (33%, N=901) of patients were obese, 306 (12%) were underweight, 521 (20%) were normal weight, and 885 (34%) were overweight. In addition, 35% were reported to have hypertension, 30% hyperlipidemia, 16% diabetes mellitus, and 11% cardiovascular disease. As expected, significant associations were observed between obesity and hyperlipidemia, diabetes, and hypertension, although the trend in the association of obesity and cardiovascular disease did not reach statistical significance (Table 1).

Table 1 New prescriptions for second-generation antipsychotics among Veterans Affairs patients, by BMI categorya
BMI category
Total (N=2,613)
Obese (N=901)
Normal weight, underweight, and overweight (N=1,712)
VariableN%N%N%χ2dfp
Comorbid disorderb
 Hypertension92335412505113366.931<.001
 Hyperlipidemia78630376484102888.361<.001
 Diabetes mellitus40616202242041349.011<.001
 Cardiovascular disease2951110816187141.441.231
Medication20.305<.001
 Olanzapine409161151329417
 Quetiapine1,216474074580947
 Risperidone
  Oral435171511728417
  Long-acting injectable341111231
 Aripiprazole390151631822713
 Ziprasidone1295546754
Reasonb
 Intolerance28311951318813.071.793
 Fewer extrapyramidal symptoms343131141522916.191.664
 Less tardive dyskinesia risk24599212153111.331.249
 Less akathisia12953459573.801.051
 Less sedation1476527957.091.042
 Efficacy1,121433865173551.031.860
 Treatment of tardive dyskinesia14141101.201.653
 Sleep or sedation707272413246632.011.909
 Patient preference7122727036442316.271.012

a A total of 35% of patients had a body mass index (BMI) in the obese category, and 66% were in the normal weight, underweight, or overweight categories.

b Each new prescription could be associated with more than one comorbid disorder and attributed to more than one reason.

Table 1 New prescriptions for second-generation antipsychotics among Veterans Affairs patients, by BMI categorya
Enlarge table

Medications with relatively higher metabolic risk, such as quetiapine (47%), oral risperidone (17%), and olanzapine (16%), represented over three-quarters (79%) of all prescriptions for second-generation antipsychotics (Table 1).

There was a statistically significant association between the agent selected and obesity (p≤.001) (Table 1). Among obese versus nonobese patients, the proportion of patients receiving olanzapine and quetiapine was smaller by 4 and 2 percentage points, respectively. The proportion of patients receiving aripiprazole and ziprasidone was larger by 5 and 2 percentage points, respectively. Among obese patients, 75% received quetiapine (45%), olanzapine (13%), or oral risperidone (17%), but only 18% and 6%, respectively, received aripiprazole and ziprasidone, a pattern that suggested medication selection was unrelated to obesity.

There was also a statistically significant association between the agent prescribed and hyperlipidemia (p<.001) and diabetes (p<.001) (Table 2). The proportions of patients who received olanzapine and quetiapine were only 4% and 5% smaller, respectively, among patients with hyperlipidemia compared with patients without hyperlipidemia. The proportions of patients who received oral risperidone, aripiprazole, and ziprasidone were 5, 3, and 2 percentage points larger, respectively, among patients with hyperlipidemia versus those without it (Table 2). Evaluated differently, 43%, 13%, and 20%, respectively, of patients with hyperlipidemia received quetiapine, olanzapine, and oral risperidone, a total of 76%, but only 17% and 6%, respectively, received aripiprazole and ziprasidone.

Table 2 New prescriptions for second-generation antipsychotics among Veterans Affairs patients with or without hyperlipidemia and diabetes mellitusa
Hyperlipidemia
Diabetes mellitus
Yes (N=786)
No (N=1,827)
χ2dfpYes (N=406)
No (N=2,207)
χ2dfp
VariableN%N%N%N%
Medication21.025.00124.105<.001
 Olanzapine101133081736937317
 Quetiapine3394387748191471,02546
 Risperidone
  Oral1552028015902234516
  Long-acting injectable11123172271
 Aripiprazole1311725914641632615
 Ziprasidone4968041841115
Reasonb
 Intolerance10516178127.531.0065617227126.191.013
 Fewer extrapyramidal symptoms1011524216.091.768461429716.691.406
 Less tardive dyskinesia risk781216711.391.534341021111.221.641
 Less akathisia386916.031.8661651136.661.416
 Less sedation4771007.261.6122061277.201.654
 Efficacy274979452.981.3231695295251.071.790
 Treatment of tardive dyskinesia71712.651.10431111.481.490
 Sleep or sedation19730510332.261.1338827619337.061.008
 Patient preference19230516343.031.0829930613331.991.158

a A total of 30% of patients had hyperlipidemia, and 16% had diabetes mellitus.

b Each prescription could be attributed to more than one reason.

Table 2 New prescriptions for second-generation antipsychotics among Veterans Affairs patients with or without hyperlipidemia and diabetes mellitusa
Enlarge table

The proportions of patients who received olanzapine and ziprasidone were 8 and 1 percentage points, respectively, smaller among patients with diabetes than those without diabetes, and the proportions who received risperidone, aripiprazole and quetiapine were 6, 1, and 1 percentage points, respectively, larger among diabetic patients than among patients without diabetes (Table 2). A total of 78% of patients with diabetes received quetiapine (47%), olanzapine (9%), and oral risperidone (22%), but only 16% and 4%, respectively, received aripiprazole and ziprasidone. Although the association between the agent prescribed and the hyperlipidemia or diabetes was statistically significant, the pattern indicated no systematic response to metabolic risk.

There was no statistically significant association between the agent prescribed and the presence of either hypertension or cardiovascular disease (Table 3). There was a statistically significant association between the agent prescribed and any cardiometabolic disorder (χ2=13.29, df=5, p=.02), but it did not remain significant after correction for multiple comparisons. [The results of these analyses are available online as a data supplement to this article.]

Table 3 New prescriptions for second-generation antipsychotics among Veterans Affairs patients with or without hypertension or cardiovascular diseasea
Hypertension
Cardiovascular disease
Yes (N=923)
No (N=1,690)
Yes (N=295)
No (N=2,318)
VariableN%N%χ2dfpN%N%χ2dfp
Medication9.945.0771.925.860
 Olanzapine1331427616451536416
 Quetiapine4134580348143491,07346
 Risperidone
  Oral1661826916491738617
  Long-acting injectable10124141301
 Aripiprazole1591723114441534615
 Ziprasidone4258751031195
Reasonb
 Intolerance11816165127.381.0074018243124.811.028
 Fewer extrapyramidal symptoms1231622015.321.5734620297153.901.048
 Less tardive dyskinesia risk801116512.431.512188227122.791.095
 Less akathisia3859161.561.2121361166.021.896
 Less sedation527957.051.8241361347.421.518
 Efficacy36949752522.641.10499431,022526.181.013
 Treatment of tardive dyskinesia6181.431.51121121.231.635
 Sleep or sedation2453246232.191.6635926648338.391.004
 Patient preference22530487345.941.0157332639331.051.305

a A total of 35% of patients had hypertension, and 11% had cardiovascular disease.

b Each prescription could be attributed to more than one reason.

Table 3 New prescriptions for second-generation antipsychotics among Veterans Affairs patients with or without hypertension or cardiovascular diseasea
Enlarge table

Across the entire sample, the reason given mostly frequently for choosing a medication was efficacy (43% of surveys) followed by patient preference (27%), and sleep or sedation (27%) (Table 1). In the analysis of the specific medication by the reason for its prescription, several significant trends emerged (Table 4). Intolerance of the prior medication (p<.001) and less sedation (p<.001) were more commonly given as reasons for prescription of aripiprazole and ziprasidone compared with other medications. Efficacy was chosen more commonly as a reason for prescription of olanzapine compared with aripiprazole and ziprasidone (63% versus 51% and 45%, p<.001). Increase of sleep or sedation was chosen more commonly as a reason for prescription of quetiapine compared with aripiprazole and ziprasidone (50% versus 5% and 7%, p<.001). Intolerance was the only reason for choosing a medication that had a statistically significant association with all categories of cardiometabolic disease except obesity (Tables 13), chosen, on average, 5% more often for individuals with those disorders compared with those without them.

Table 4 Reason for new prescriptions of a second-generation antipsychotica
Risperidone
ReasonOlanzapine
(N=334)
Quetiapine
(N=1,033)
Oral
(N=360)
Long-acting injectable
(N=28)
Aripiprazole
(N=324)
Ziprasidone
(N=119)
χ2bp
N%N%N%N%N%N%
Intolerance441387840116217423322770.63<.001
Fewer extrapyramidal symptoms4413159154713146921231915.60.008
Less tardive dyskinesia risk33101071036103114213242010.90.028
Less akathisia319525144311175121016.14.006
Less sedation7215219541487271513278.17<.001
Efficacy209634734620657165716451534537.14<.001
Treatment of tardive dyskinesia41511013310.18.070
Sleep or sedation872652050732031116587336.70<.001
Patient preference11033337331042913461093439334.85.435

a Only surveys (N=2,198) in which a reason was given were evaluated.

b df=5

Table 4 Reason for new prescriptions of a second-generation antipsychotica
Enlarge table

Discussion

Using data from a survey conducted at the time any second-generation antipsychotic was prescribed, this analysis sought to assess if the provider’s choice of antipsychotic displayed sensitivity to the presence of cardiometabolic disorders. Medications previously shown to increase the risk of these disorders, such as olanzapine and quetiapine, were prescribed to obese patients and those with hyperlipidemia and diabetes in significantly but only slightly lower proportions. Medications with far less risk, such as aripiprazole, were prescribed in only slightly higher proportions. In contrast, the proportion of patients prescribed risperidone, which has a moderate cardiometabolic liability (12,15), was higher among patients with cardiometabolic disorders than among patients without cardiometabolic disorders. More important, among patients with known cardiovascular disease, for many an “end stage” condition, there was no statistically significant difference in the choice of antipsychotic.

In none of these analyses did provider sensitivity to comorbid disorders affect the overall proportion of second-generation antipsychotics prescribed. Agents with higher cardiometabolic risk were prescribed to over 75% of individuals with cardiometabolic disorders. Although prescribers of these agents showed some responsiveness to the metabolic profiles of their patients, the response was small and was not consistent across all cardiometabolic diseases.

The rates of obesity and other cardiometabolic disorders among patients in this sample were not dissimilar from those of the general VHA population. Das and others (19), using height and weight data from a national VHA database, rather than ICD-9 codes (20,21), found that approximately 70% of individuals were at least overweight, and 35% were obese. Other studies of VHA populations with serious mental illness have found rates of hyperlipidemia (30%) (22), diabetes (15%) (21), and hypertension (35%) (23) similar to those found in this study.

The proportion of individuals in this study with cardiovascular disease (11%) was similar to the proportion of a 1999 national VHA sample with ischemic heart disease (23). It is possible that a “cat’s out of the bag” prescribing heuristic is at work, whereby providers do not differentially prescribe second-generation antipsychotics to those who already have cardiovascular disease because they judge that the risk of developing the disease cannot be decreased if it is already present. However, one would also expect this trend to be at work among those with diabetes or hyperlipidemia, especially because these conditions are more easily manageable with pharmacotherapy. The finding that providers considered the cardiometabolic effects of second-generation antipsychotics among patients with antecedent conditions but not among patients with known cardiovascular disease is unexpected and of concern.

Risperidone was used relatively more frequently by overweight and obese individuals and by those with diabetes and hypertension. The drug has a modest weight gain profile, similar to that of quetiapine (24). However, its effects on diabetes risk and lipids are less clear (12,25). Complex and sometimes contradictory reports may make it difficult for prescribers to stay accurately informed about the comparative risk of this drug. Second to clozapine, risperidone is the oldest and most researched second-generation antipsychotic. Providers may be more comfortable with the choice of this drug instead of newer drugs, such as aripiprazole or ziprasidone, that have less cardiometabolic risk but may be less familiar.

Few studies have evaluated prescribing behavior with respect to second-generation antipsychotics and cardiometabolic disorders. A recent VHA study showed that a comorbid diagnosis of diabetes but not hyperlipidemia or obesity was related to switches to lower-risk agents (20). Larsen and others (26) found that a change in antipsychotic was recommended for only 10% of patients with evidence of cardiometabolic disorders. A study of Japanese inpatients with schizophrenia found that significantly more individuals with diabetes were prescribed first-generation antipsychotics compared with second-generation antipsychotics (27). The Japanese study underscores a potential limitation of this study, which did not identify prescriptions for first-generation antipsychotics. However, fewer than 15% of VHA patients with schizophrenia are prescribed these drugs (28).

A study interviewing psychiatrists providing inpatient care found that clinical decisions regarding which antipsychotic to prescribe were subject to complex rules, with each decision involving a mean of eight factors (29). Some of the most common factors cited were specific target symptoms, assumed differences in drug efficacy, drug side effects, and general medical comorbidities. In addition, a nationwide survey of psychiatrists about their prescribing practices found that 85% claimed they would switch drugs, lower current dosing, or avoid prescribing a second-generation antipsychotic to lower the risk of metabolic disorders (30). These studies confirm our finding that providers are aware of cardiometabolic risks when prescribing second-generation antipsychotics. Unfortunately, the data presented here demonstrated only weak evidence that such considerations affect provider prescribing behavior.

The Mount Sinai Conference on Medical Monitoring guidelines (16), the Consensus Development Conference on Antipsychotic Drugs and Obesity and Diabetes guidelines (15), guidelines on the treatment of schizophrenia (31), and multiple other works, including seminal textbooks of psychiatry (32,33), are designed to guide clinicians on the optimal use of antipsychotics and the consideration of cardiometabolic risk. The thrust of these reviews is that either the presence of these disorders at the onset of treatment or the development of these disorders after treatment has begun should be a consideration in the selection of agents. However, these guidelines do not give specific direction about the degree to which these disorders should influence drug selection, nor do they address the use of second-generation antipsychotics specifically by patients with known cardiovascular disease, the leading contributor to mortality of adults with serious mental illness (34). The absence of specific recommendations about these topics mirrors the inconsistent behavior observed in this study.

An extensive body of work supports the selection of second-generation antipsychotics other than clozapine on the basis of side-effect profile and cardiometabolic risk (15,16,3133). However, there is also evidence, although limited, that some higher-risk agents, namely olanzapine, are more effective in treating refractory psychosis and have better efficacy compared with other second-generation antipsychotics (3537). Moreover, in the Clinical Antipsychotic Trials of Intervention Effectiveness, patients on olanzapine were less likely to discontinue their medication for any reason and particularly for lack of efficacy or because of patient decision (5). Data from this study showing olanzapine was chosen for efficacy slightly more frequently than other drugs supports this contention. Providers may think that the potential for increased efficacy of drugs like olanzapine outweighs the risk of cardiometabolic side effects among patients who already have a cardiometabolic disorder.

Several methodological limitations deserve comment. This study represented a secondary analysis of a study with a different primary objective than to evaluate the selection of antipsychotics in the context of cardiometabolic disorders. Direct questions about the concern for cardiometabolic risk were not asked. The study also was not able to evaluate the concurrent use of other psychotropic or metabolically active medications, potentially weight reducing therapies, or psychosocial treatments, which may represent a more robust response to cardiometabolic risk. In addition, it is not known with certainty how many medications were attempted by patients prior to the study nor the medication that preceded switches of medication. Moreover, neither the duration nor the dose of prescriptions—which may be important in determining side effect burden—was recorded.

Conclusions

The link between cardiometabolic disorders and mortality is well established, as is the greater mortality of persons with serious mental illness. In light of this information and the recommendations of several task forces and textbooks, one might expect stronger evidence of the differential selection of second-generation antipsychotics among vulnerable patients. Although this study found that providers showed some sensitivity with respect to cardiometabolic disorders, these responses were neither robust nor consistent. This study indicated that on average, the presence of cardiovascular disease has limited influence on providers’ selection of specific agents. Further investigation into the decision-making process of providers with respect to prescribing second-generation antipsychotics to patients with existing cardiometabolic conditions is needed. Peer-driven educational efforts, such as academic detailing aimed at psychopharmacologic decision making, may lower the risk for some patients.

The authors are affiliated with the Department of Psychiatry, Yale School of Medicine, 950 Campbell Ave., West Haven, CT 06516 (e-mail: ).
Dr. Sernyak is also with the Connecticut Mental Health Center, New Haven, Connecticut.

Acknowledgments and disclosures

This analysis was supported by the New England Mental Illness, Research, Education and Clinical Center (MIRECC). The authors thank Elina Stefanovics, Ph.D., for help in data management and analysis. The New England MIRECC had no role in the design, analysis, or interpretation of data or in the preparation of the report or decision to publish.

Dr. Sernyak has received honoraria from Pfizer. Dr. Rosenheck has received research support from Janssen Pharmaceutica, Wyeth Pharmaceuticals, AstraZeneca, Bristol-Myers Squibb, Eli Lilly and Company, and Roche Pharmaceuticals. He has testified as an expert in Jones ex rel the State of Texas v Janssen Pharmaceutica. Dr. Hermes reports no competing interests.

References

1 Verdoux H, Tournier M, Bégaud B: Antipsychotic prescribing trends: a review of pharmaco-epidemiological studies. Acta Psychiatrica Scandinavica 121:4–10, 2010Crossref, MedlineGoogle Scholar

2 Davis JM, Chen N, Glick ID: A meta-analysis of the efficacy of second-generation antipsychotics. Archives of General Psychiatry 60:553–564, 2003Crossref, MedlineGoogle Scholar

3 Leucht S, Wahlbeck K, Hamann J, et al.: New generation antipsychotics versus low-potency conventional antipsychotics: a systematic review and meta-analysis. Lancet 361:1581–1589, 2003Crossref, MedlineGoogle Scholar

4 Leslie DL, Mohamed S, Rosenheck RA: Off-label use of antipsychotic medications in the department of Veterans Affairs health care system. Psychiatric Services 60:1175–1181, 2009LinkGoogle Scholar

5 Lieberman JA, Stroup TS, McEvoy JP, et al.: Effectiveness of antipsychotic drugs in patients with chronic schizophrenia. New England Journal of Medicine 353:1209–1223, 2005Crossref, MedlineGoogle Scholar

6 Miller DD, Caroff SN, Davis SM, et al.: Extrapyramidal side-effects of antipsychotics in a randomised trial. British Journal of Psychiatry 193:279–288, 2008Crossref, MedlineGoogle Scholar

7 Jones PB, Barnes TR, Davies L, et al.: Randomized controlled trial of the effect on quality of life of second- vs first-generation antipsychotic drugs in schizophrenia: Cost Utility of the Latest Antipsychotic Drugs in Schizophrenia Study (CUtLASS 1). Archives of General Psychiatry 63:1079–1087, 2006Crossref, MedlineGoogle Scholar

8 Rosenheck R, Perlick D, Bingham S, et al.: Effectiveness and cost of olanzapine and haloperidol in the treatment of schizophrenia: a randomized controlled trial. JAMA 290:2693–2702, 2003Crossref, MedlineGoogle Scholar

9 Blin O, Micallef J: Antipsychotic-associated weight gain and clinical outcome parameters. Journal of Clinical Psychiatry 62(suppl 7):11–21, 2001MedlineGoogle Scholar

10 Allison DB, Mentore JL, Heo M, et al.: Antipsychotic-induced weight gain: a comprehensive research synthesis. American Journal of Psychiatry 156:1686–1696, 1999AbstractGoogle Scholar

11 Henderson DC, Cagliero E, Gray C, et al.: Clozapine, diabetes mellitus, weight gain, and lipid abnormalities: a five-year naturalistic study. American Journal of Psychiatry 157:975–981, 2000LinkGoogle Scholar

12 Newcomer JW: Second-generation (atypical) antipsychotics and metabolic effects: a comprehensive literature review. CNS Drugs 19(suppl 1):1–93, 2005Crossref, MedlineGoogle Scholar

13 Csernansky JG, Mahmoud R, Brenner R: A comparison of risperidone and haloperidol for the prevention of relapse in patients with schizophrenia. New England Journal of Medicine 346:16–22, 2002Crossref, MedlineGoogle Scholar

14 Brecher M, Leong RW, Stening G, et al.: Quetiapine and long-term weight change: a comprehensive data review of patients with schizophrenia. Journal of Clinical Psychiatry 68:597–603, 2007Crossref, MedlineGoogle Scholar

15 American Diabetes AssociationAmerican Psychiatric AssociationAmerican Association of Clinical Endocrinologists, et al.: Consensus Development Conference on Antipsychotic Drugs and Obesity and Diabetes. Obesity Research 12:362–368, 2004Crossref, MedlineGoogle Scholar

16 Marder SR, Essock SM, Miller AL, et al.: Physical health monitoring of patients with schizophrenia. American Journal of Psychiatry 161:1334–1349, 2004LinkGoogle Scholar

17 Greenberg G, Rosenheck R: Department of Veterans Affairs National Mental Health Program Performance Monitoring System: Fiscal Year 2007 Report. West Haven, Conn, Northeast Program Evaluation Center, 2008Google Scholar

18 American Diabetes AssociationAmerican Psychiatric AssociationAmerican Association of Clinical Endocrinologists, et al.: Consensus development conference on antipsychotic drugs and obesity and diabetes. Diabetes Care 27:596–601, 2004Crossref, MedlineGoogle Scholar

19 Das SR, Kinsinger LS, Yancy WS, et al.: Obesity prevalence among veterans at Veterans Affairs medical facilities. American Journal of Preventive Medicine 28:291–294, 2005Crossref, MedlineGoogle Scholar

20 Dassori AM, Copeland LA, Zeber JE, et al.: Factors in second-generation antipsychotic switching patterns in a national sample of older veterans with schizophrenia. Psychiatric Services 62:47–53, 2011LinkGoogle Scholar

21 Kilbourne AM, Brar JS, Drayer RA, et al.: Cardiovascular disease and metabolic risk factors in male patients with schizophrenia, schizoaffective disorder, and bipolar disorder. Psychosomatics 48:412–417, 2007Crossref, MedlineGoogle Scholar

22 Neugaard BI, Priest JL, Burch SP, et al.: Quality of care for veterans with chronic diseases: performance on quality indicators, medication use and adherence, and health care utilization. Population Health Management 14:99–106, 2011Crossref, MedlineGoogle Scholar

23 Yu W, Ravelo A, Wagner TH, et al.: Prevalence and costs of chronic conditions in the VA health care system. Medical Care Research and Review 60(suppl):146S–167S, 2003Crossref, MedlineGoogle Scholar

24 Wetterling T: Bodyweight gain with atypical antipsychotics: a comparative review. Drug Safety 24:59–73, 2001Crossref, MedlineGoogle Scholar

25 Daumit GL, Goff DC, Meyer JM, et al.: Antipsychotic effects on estimated 10-year coronary heart disease risk in the CATIE schizophrenia study. Schizophrenia Research 105:175–187, 2008Crossref, MedlineGoogle Scholar

26 Larsen JT, Fagerquist M, Holdrup M, et al.: Metabolic syndrome and psychiatrists’ choice of follow-up interventions in patients treated with atypical antipsychotics in Denmark and Sweden. Nordic Journal of Psychiatry 65:40–46, 2011Crossref, MedlineGoogle Scholar

27 Okumura Y, Ito H, Kobayashi M, et al.: Prevalence of diabetes and antipsychotic prescription patterns in patients with schizophrenia: a nationwide retrospective cohort study. Schizophrenia Research 119:145–152, 2010Crossref, MedlineGoogle Scholar

28 Sernyak MJ, Rosenheck RA: Antipsychotic use in the treatment of outpatients with schizophrenia in the VA from fiscal years 1999 to 2006. Psychiatric Services 59:567–569, 2008LinkGoogle Scholar

29 Hamann J, Kolbe G, Cohen R, et al.: How do psychiatrists choose among different antipsychotics? European Journal of Clinical Pharmacology 61:851–854, 2005Crossref, MedlineGoogle Scholar

30 Newcomer JW, Nasrallah HA, Loebel AD: The atypical antipsychotic therapy and metabolic issues national survey. Journal of Clinical Psychopharmacology 24(suppl 1):S1–S6, 2004Crossref, MedlineGoogle Scholar

31 Dixon L, Perkins D, Calmes C: Practice guideline for the treatment of patients with schizophrenia, 2nd ed. American Journal of Psychiatry 161(suppl 2):1–56, 2004LinkGoogle Scholar

32 Sadock BJSadock VARuiz P (eds): Kaplan and Sadock's Comprehensive Textbook of Psychiatry, 9th ed. Philadelphia, Lippincott Williams and Wilkins, 2009Google Scholar

33 Hales REYudofsky SCGabbard GO (eds): Textbook of Psychiatry, 5th ed. Arlington, Va, American Psychiatric Publishing, 2008Google Scholar

34 Goff DC, Sullivan LM, McEvoy JP, et al.: A comparison of ten-year cardiac risk estimates in schizophrenia patients from the CATIE study and matched controls. Schizophrenia Research 80:45–53, 2005Crossref, MedlineGoogle Scholar

35 Komossa K, Rummel-Kluge C, Schmid F, et al.: Aripiprazole versus other atypical antipsychotics for schizophrenia. Cochrane Database of Systematic Reviews 4:CD006569, 2009MedlineGoogle Scholar

36 Kumra S, Kranzler H, Gerbino-Rosen G, et al.: Clozapine and “high-dose” olanzapine in refractory early-onset schizophrenia: a 12-week randomized and double-blind comparison. Biological Psychiatry 63:524–529, 2008Crossref, MedlineGoogle Scholar

37 Beuzen JN, Avnon M, Belmaker RH, et al.: The effectiveness of olanzapine in treatment-refractory schizophrenia when patients are nonresponsive to or unable to tolerate clozapine. Clinical Therapeutics 22:1021–1034, 2000Crossref, MedlineGoogle Scholar