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Severe persistent mental illness (SPMI) is associated with worse outcomes in cancer patients. Less is known about the relationship between SPMI and surgical outcomes after mastectomy for breast cancer.We selected patients with breast cancer and SPMI from the National Inpatient Sample (2016-2018) and used propensity score matching. We then used multivariate analysis, Kruskal-Wallis tests, and conditional logistic regression to compare demographics and outcomes.The study sample consisted of 670 patients: 536 without SPMI and 134 with SPMI. SPMI was associated with bilateral mastectomy (bilateral: 53% vs. unilateral: 42.7%, p = 0.033) and decreased frequency of breast reconstruction (p 0.001). SPMI was associated with more extended hospitalization (4 days vs. 2 days, p 0.001) and increased risk of developing post-procedural infection and sepsis (OR 2.909).SPMI is associated with bilateral mastectomy, more extended hospitalization, and increased risk for post-procedural infection and sepsis - suggesting the need for increased use of standardized screening tools to identify SPMI in patients and inform perioperative management correctly.

Bipolar disorder often follows a set progression best described in stages where advanced stages are associated with poorer outcomes. Bipolar disorder is also often characterized by a predominance of episode polarity, where some individuals experience more depressive episodes (termed predominant depressive polarity) while others experience more hypo/manic episodes (termed predominant hypo/manic polarity). We examined the associations between staging and predominant polarity with measures of illness burden and treatment outcome utilizing data from a six-month comparative effectiveness trial of lithium and quetiapine in bipolar disorder (Bipolar CHOICE). We used number of self-reported lifetime mood (depressive and hypo/manic) episodes as a proxy for staging and ratio of depressive to manic episodes to define predominant polarity. Polarity and staging were correlated with several measures of burden of illness. Childhood abuse was correlated with more lifetime mood episodes, while more depressive episodes and depressive polarity were correlated with more anxiety disorder comorbidity. Depressive polarity was also correlated with more past trials of psychotropics, particularly antidepressants. However, neither staging nor predominant polarity moderated the randomized treatment effect of lithium vs. quetiapine. Number of depressive episodes in the past year was identified as a potential predictor of overall worse treatment outcome, regardless of medication condition. In conclusion, though staging and predominant episode polarity correlated with several measures of illness burden, they were not associated with differential treatment outcomes. This could be because many of our patients presented for treatment at advanced stages of illness and further highlights the need for early intervention in bipolar disorder.

Background Lithium and quetiapine can cause weight gain, but their comparative longer term anthropometric effects are unknown, as are the potential moderating effects of baseline binge-eating (BE) behavior. Methods We assessed 6 month changes in body weight, body mass index (BMI) and waist circumference in 482 adults with DSM-IV bipolar disorders who participated in a comparative effectiveness study of lithium and quetiapine with evidence-based adjunctive treatment (Bipolar CHOICE). Anthropometric measurements were obtained at baseline, and at 2, 4, 6, 8, 12, 16, 20, and 24 weeks. BE behavior was defined as affirmative responses to MINI items M1 and M3 at baseline. Data were analyzed using a mixed model repeated measures approach, adjusted for baseline values of dependent measures. Results On average, body weight and BMI increased over 6 months with lithium and quetiapine. However, those treated with quetiapine experienced greater increases from baseline in body weight (peak change, + 3.6 lbs. vs. + 1.4 lbs.) and BMI (peak change, + 0.6 kg/m2 vs. + 0.3 kg/m2), starting at 2 weeks (group x time, F8,3052= 2.9, p = 0.003 for body weight, F8,3052= 3.0, p = 0.002 for BMI). Significant increases in waist circumference were observed only with quetiapine. The relationship between drug treatment and changes in body weight (group x time x binge eating status, F1,2770= 2.0, p = 0.002), BMI (F1,2767= 2.0, p = 0.002), and waist circumference (women only, F25,1621= 2.9, p Limitations Bipolar CHOICE was not designed to study anthropometric outcomes. Conclusions Greater changes in body weight, BMI, and waist circumference occurred with quetiapine- versus lithium-based treatment over 6 months of treatment. The effects of study drugs on these anthropometric measures were moderated by BE behavior at baseline.

Purpose To examine the prevalence of, and factors associated with, atypical antipsychotic use among U.S. pregnant women, and potential associations between early pregnancy atypical antipsychotic use and risk for 14 birth defects. Methods We analyzed data from the National Birth Defects Prevention Study (1997–2011), a U.S. population-based case-control study examining risk factors for major structural birth defects. Results Atypical antipsychotic use during pregnancy was more common among women with pre-pregnancy obesity, and women who reported illicit drug use before and during pregnancy, smoking during pregnancy, alcohol use during pregnancy, or use of other psychiatric medications during pregnancy. We observed elevated associations (defined as a crude odds ratio [cOR] ≥2.0) between early pregnancy atypical antipsychotic use and conotruncal heart defects (6 exposed cases; cOR: 2.3, 95% confidence interval [CI]: 0.9–6.1), and more specifically Tetralogy of Fallot (3 exposed cases; cOR: 2.5, 95% CI: 0.7–8.8), cleft palate (4 exposed cases, cOR: 2.5, 95% CI: 0.8–7.6), anorectal atresia/stenosis (3 exposed cases, cOR: 2.8, 95% CI: 0.8–9.9), and gastroschisis (3 exposed cases, cOR: 2.1, 95% CI: 0.6–7.3). Conclusions Our findings support the close clinical monitoring of pregnant women using atypical antipsychotics. Women treated with atypical antipsychotics generally access healthcare services before pregnancy; efforts to reduce correlates of atypical antipsychotic use might improve maternal and infant health in this population.

Background Item 9 of the Patient Health Questionnaire (PHQ) evaluates passive thoughts of death or self-injury within the last two weeks, and is often used to screen depressed patients for suicide risk. We aimed to validate the PHQ-9 item 9 with a brief electronic version of the Columbia Suicide Severity Rating Scale (eC-SSRS). Methods We analyzed data from 841 patients enrolled in the National Network of Depression Centers Clinical Care Registry. We performed a validation analysis of PHQ-9 item 9 for suicide risk and ideation, using the eC-SSRS as a gold standard (defined as positive response to suicidal ideation with intent to act or recent suicidal behavior). Results Of the 841 patients, 13.4% and 41.1% were assessed as being positive for suicide risk by the eC-SSRS and PHQ-9 item 9, respectively. For the overall cohort, sensitivity was 87.6% (95%CI 80.2–92.5%), specificity was 66.1% (95%CI 62.6–69.4%), PPV was 28.6% (95%CI 24.1–33.6%), and NPV was 97.2% (95%CI 95.3–98.3%) for the PHQ-9 suicide item. These performance measures varied within subgroups defined by demographic and clinical characteristics. In addition, the validity of PHQ-9 item 9 (cutoff score of 1) with eC-SSRS-defined suicide ideation showed overall poor results. Limitations The gold standard used in our study was a surrogate measure of suicidality based on eC-SSRS scores. Conclusions The results of our study suggest that item 9 of the PHQ-9 is an insufficient assessment tool for suicide risk and suicide ideation, with limited utility in certain demographic and clinical subgroups that requires further investigation.

Objectives To compare the relative influence (RI) of individual predictors for lifetime attempted suicide between adults with bipolar I (BDBD-I) and bipolar II disorder (BDBD-II). Methods We conducted an analysis of data from 1465 enrollees in the Mayo Clinic Bipolar Disorder Biobank. Demographic and clinical variables and history of attempted suicide were ascertained using standardized questionnaires. Height and weight were assessed to determine body mass index (BMI); obesity was defined as BMI ≥30 kg/m 2 . The frequencies of these variables were compared between persons with and without self-reported lifetime suicide attempts both overall, and within BD-I and BD-II subgroups. Gradient boosting machine (GBM) models were used to quantify the RI of study variables on the risk of lifetime attempted suicide. Results Nearly one-third of patients reported having a lifetime suicide attempt. Attempted suicide rates were higher in patients with BD-I than BD-II, but absolute differences were small. Lifetime attempted suicide was associated with female sex, BD-I subtype, psychiatric and substance use comorbidities, binge eating behavior, lifetime history of rapid cycling, other indicators of adverse illness course, and early age of bipolar illness onset in the entire cohort. Differences in the rank-ordering of RI for predictors of attempted suicide between BD-I and BD-II patients were modest. Rapid cycling was a strong risk factor for attempted suicide, particularly in men with BD-I. Limitations Actively psychotic or suicidal patients needing psychiatric hospitalization were initially excluded, but were approached after these acute psychiatric problems resolved. Conclusions The prevalence of lifetime attempted suicide was significantly higher in BD-I than BD-II in this large, cross-sectional cohort. Predictors of attempted suicide were similar in BD-I and BD-II subgroups.

Background Bipolar patients experience sleep disturbances during and between mood episodes. Yet the impact of sleep on treatment with different medications has not been fully explored. The purpose of this paper is to explore the potential impact of poor sleep at baseline on outcomes in a randomized effectiveness trial of quetiapine and lithium. Methods The Bipolar CHOICE study was a 6-month, parallel group, multisite randomized controlled trial. Participants with bipolar disorder (N = 482; 59% female and age 18–70 years) received quetiapine or lithium. Patients were allowed to also receive adjunctive personalized treatments, which were guideline-informed, empirically-based medications added to treatment as needed. Medication changes were recorded as necessary clinical adjustments (NCA). Fisher's exact tests, mixed-regression models, and Mann-Whitney U tests were used to assess demographic and clinical characteristics as well as whether sleep disturbance would predict outcomes. Results 63% of patients had baseline sleep disturbance. Individuals with sleep disturbance had worse bipolar illness severity, greater severity of depression, mania, anxiety, irritability, and psychosis, were less likely to have sustained response (17% vs. 29%; adjusted RR: 0.55, 95% CI: 0.38–0.78, p = 0.0006) and had more NCAs (median 0.71 vs. 0.59, p = 0.03). Limitations Our findings were limited by how we defined sleep disturbance, and by how severity of sleep disturbance was assessed with one item with a non-sleep specific measure. Conclusions Baseline sleep disturbance was associated with more severe bipolar symptoms and worse 6-month outcomes. Further research is warranted on improving sleep in bipolar disorder, especially the role of psychosocial interventions.

Background Psychotic bipolar depressive episodes remain remarkably understudied despite being common and having a significant impact on bipolar disorder. The aim of this study is to identify the characteristics of depressed bipolar patients with current psychosis compared to those without psychosis. Methods We used baseline data of a comparative effectiveness study of lithium and quetiapine for bipolar disorder (the Bipolar CHOICE study) to compare demographic, clinical, and functioning variables between those with and without psychotic symptoms. Of the 482 participants, 303 (62.9%) were eligible for the present study by meeting DSM-IV criteria for an acute bipolar depressive episode. Univariate analyses were conducted first, and then included in a model controlling for symptom severity. Results The sample was composed mostly of women (60.7%) and the mean age was 39.5±12.1 years. Psychosis was present in 10.6% (n=32) of the depressed patients. Psychotic patients had less education, lower income, and were more frequently single and unemployed. Psychosis was also associated with a more severe depressive episode, higher suicidality, more comorbid conditions and worse functioning. Most group differences disappeared when controlling for depression severity. Limitations Only outpatients were included and the presence of psychosis in previous episodes was not assessed. Conclusion Psychosis during bipolar depressive episodes is present even in an outpatient sample. Psychotic, depressed patients have worse illness outcomes, but future research is necessary to confirm if these outcomes are only associated with the severity of the disorder or if some of them are independent of it.

Background Comparative effectiveness research uses multiple tools, but lacks outcome measures to assess large electronic medical records and claims data. Aggregate changes in medications in response to clinical need may serve as a surrogate outcome measure. We developed the Medication Recommendation Tracking Form (MRTF) to record the frequency, types, and reasons for medication adjustments in order to calculate Necessary Clinical Adjustments (NCAs), medication adjustments to reduce symptoms, maximize treatment response, or address problematic side effects. Methods The MRTF was completed at every visit for 482 adult patients in Bipolar CHOICE, a 6-month randomized comparative effectiveness trial. Results Responders had significantly fewer NCAs compared to non-responders. NCAs predicted subsequent response status such that every additional NCA during the previous visit decreased a patient's odds of response by approximately 30%. Patients with more severe symptoms had a greater number of NCAs at the subsequent visit. Patients with a comorbid anxiety disorder demonstrated a significantly higher rate of NCAs per month than those without a comorbid anxiety disorder. Patients with greater frequency, intensity, and interference of side effects had higher rates of NCAs. Participants with fewer NCAs reported a higher quality of life and decreased functional impairment. Limitations The MRTF has not been examined in community clinic settings and did not predict response more efficiently than the Clinical Global Impression-Bipolar Version (CGI-BP). Conclusions The MRTF is a feasible proxy of clinical outcome, with implications for clinical training and decision-making. Analyses of big data could use changes in medications as a surrogate outcome measure.

Objectives To estimate the risk of fatal and non-fatal myocardial infarction (MI) and stroke in patients with bipolar I disorder compared to people without bipolar I disorder. Method Utilizing a records-linkage system spanning 30 years (1966–1996), a population-based cohort of 334 subjects with bipolar I disorder and 334 age and sex-matched referents from Olmsted County, Minnesota, U.S. was identified. Longitudinal follow-up continued until incident MI or stroke (confirmed by board-certified cardiologist/neurologist), death, or study end date (December 31, 2013). Cox proportional hazards models assessed the hazard ratio (HR) for MI or stroke, adjusting for potential confounders. Results There was an increased risk of fatal or non-fatal MI or stroke (as a composite outcome) in patients with bipolar I disorder [HR 1.54, 95% confidence interval (CI) 1.02, 2.33; p=0.04]. However, after adjusting for baseline cardiovascular risk factors (alcoholism, hypertension, diabetes, and smoking), the risk was no longer significantly increased (HR 1.19, 95% CI 0.76, 1.86; p =0.46). Limitations Small sample size for the study design. Findings were not retained after adjustment for cardiovascular disease risk factors. Psychotropic medication use during the follow-up was not ascertained and was not included in the analyses. Conclusion This study in a geographically defined region in the U.S. demonstrated a significant increased risk of MI or stroke in bipolar I disorder, which was no longer significant after adjustment for cardiovascular risk factors.

Background Few brief, self-report measures exist that can reliably predict adverse suicidality outcomes in patients with BD. This study utilized the Concise Health Risk Tracking Self-Report (CHRT) to assess suicidality in patients with BD and examined its psychometric performance, clinical correlates, and prospective value in predicting adverse events related to suicidality. Methods The CHRT was administered at baseline and follow-up to 482 adult patients in Bipolar CHOICE, a 6-month randomized comparative effectiveness trial. The Columbia Suicide Severity Rating Scale (CSSRS) was used at baseline to assess lifetime history of suicide attempts and related behaviors. Clinician-rated measures of mood (Bipolar Inventory of Symptoms Scale) and bipolar symptoms (Clinical Global Impressions-Bipolar Version) were conducted at baseline and follow-up. Results The CHRT showed excellent internal consistency and construct validity and was highly correlated with clinician ratings of depression, anxiety, and overall functioning at baseline and throughout the study. Baseline CHRT scores significantly predicted risk of subsequent suicidality-related Serious Adverse Events (sSAEs), after controlling for mood and comorbidity. Specifically, the hazard of a sSAE increased by 76% for every 10-point increase in baseline CHRT score. Past history of suicide attempts and related behaviors, as assessed by the CSSRS, did not predict subsequent sSAEs. Limitations The CSSRS was used to assess static risk factors in terms of past suicidal behaviors and may have been a more powerful predictor over longer-term follow-up. Conclusions The CHRT offers a quick and robust self-report tool for assessing suicidal risk and has important implications for future research and clinical practice.

Objective To determine prevalence rates and clinical correlates of current DSM-5 eating disorders in patients with bipolar disorder (BP). Methods Prevalence rates of current DSM-5- and DSM-IV-defined binge eating disorder (BED), bulimia nervosa (BN), and anorexia nervosa (AN) were assessed with the Eating Disorder Diagnostic Scale (EDDS) in 1092 patients with BP. Psychiatric illness burden was evaluated with five proxy measures of BP illness severity. Medical illness burden was evaluated with the Cumulative Index Rating Scale (CIRS). Results Twenty-seven percent of patients had a current DSM-5 eating disorder: 12% had BED, 15% had BN, and 0.2% had AN. Rates of DSM-5-defined BED and BN were higher than clinical diagnosis rates and rates of DSM-IV-defined BED and BN. Compared with BP patients without an eating disorder, BP patients with a DSM-5 eating disorder were younger and more likely to be women; had an earlier age of onset of BP; had higher EDDS composite scores and higher degrees of suicidality, mood instability, and anxiety disorder comorbidity; and had a higher mean BMI, higher rate of obesity, and higher CIRS total scores. In a logistic regression model controlling for previously identified correlates of an eating disorder, younger age, female gender, and higher BMI remained significantly associated with an eating disorder. Limitations The EDDS has not been validated in BP patients. Conclusion DSM-5-defined BED and BN are common in BP patients, possibly more common than DSM-IV-defined BED and BN, and associated with greater psychiatric and general medical illness burden. Further studies assessing DSM-5 eating disorders in people with BP are greatly needed.

Objective To describe the prevalence of multimorbidity involving 20 selected chronic conditions in a geographically defined US population, emphasizing age, sex, and racial/ethnic differences. Patients and Methods Using the Rochester Epidemiology Project records linkage system, we identified all residents of Olmsted County, Minnesota, on April 1, 2010, and electronically extracted the International Classification of Diseases, Ninth Revision codes associated with all health care visits made between April 1, 2005, and March 31, 2010 (5-year capture frame). Using these codes, we defined the 20 common chronic conditions recommended by the US Department of Health and Human Services. We counted only persons who received at least 2 codes for a given condition separated by more than 30 days, and we calculated the age-, sex-, and race/ethnicity-specific prevalence of multimorbidity. Results Of the 138,858 study participants, 52.4% were women (n=72,732) and 38.9% had 1 or more conditions (n=54,012), 22.6% had 2 or more conditions (n=31,444), and 4.9% had 5 or more conditions (n=6853). The prevalence of multimorbidity (≥2 conditions) increased steeply with older age and reached 77.3% at 65 years and older. However, the absolute number of people affected by multimorbidity was higher in those younger than 65 years. Although the prevalence of multimorbidity was similar in men and women overall, the most common dyads and triads of conditions varied by sex. Compared with white persons, the prevalence of multimorbidity was slightly higher in black persons and slightly lower in Asian persons. Conclusion Multimorbidity is common in the general population; it increases steeply with older age, has different patterns in men and women, and varies by race/ethnicity.

To determine the impact of losing health insurance coverage on perceived need for and access to mental health care in women screened for postpartum depression (PPD) in primary care settings.The study sample included 2343 women enrolled in a 12-month, multisite, randomized trial that compared clinical outcomes of a comprehensive PPD screening and management program with usual care (March 1, 2006, through August 31, 2010). Screening for PPD occurred at the first postpartum visit (5-12 weeks) using the Edinburgh Postnatal Depression Scale followed by the 9-item Patient Health Questionnaire. Insurance status during the prenatal period, at delivery, and during the first postpartum year and perceived need for and access to mental health care during the first postpartum year were assessed via questionnaires completed by individual patients and participating practices.Rates of uninsured increased from 3.8% during pregnancy and delivery (n=87 of 2317) to 10.8% at the first postpartum visit (n=253 of 2343) and 13.7% at any subsequent visit to the practice after 2 months post partum (n=226 of 1646) (P.001, both comparisons vs baseline). For patients with data on insurance type during follow-up, insurance loss occurred primarily in Medicaid beneficiaries. Nine-item Patient Health Questionnaire scores and self-reported need for mental health care did not differ significantly between patients who remained insured and those who lost insurance during the first postpartum year. However, of patients who reported the need for mental health care, 61.1% of the uninsured (n=66 of 108) vs 27.1% of the insured (n=49 of 181) reported an inability to obtain mental health care (P.001).Loss of insurance during the first postpartum year did not significantly affect depressive symptoms or perceived need for mental health care but did adversely affect self-reported ability to obtain mental health care.

Postpartum depression (PPD) is a common, potentially disabling, and, in some cases, life-threatening condition. Fortunately, PPD is also readily detectable in routine practice and is amenable to treatment by a wide variety of modalities that are effective for treating nonpuerperal major depression. Postpartum depression screening can improve case identification (an Edinburgh Postnatal Depression Scale score of ≥ 13 indicates a high risk of PPD) and, when associated with a diagnostic and follow-up program, leads to improved clinical outcomes. Symptom severity, patient preference, past response to treatment, availability of local mental health care resources, and patient decisions about breast-feeding will drive management decisions. In general, cognitive-behavioral therapy and interpersonal therapy are preferred psychotherapies for women with mild to moderate PPD, whereas antidepressants are appropriate in more severe cases. Many patients will require other types of assistance, such as parenting support, case management, or care coordination because many barriers to receiving adequate PPD treatment must still be overcome.

Background Little is known about the longer-term effects of adjunctive benzodiazepines on symptom response during treatment in patients with bipolar disorders. Methods The study sample consisted of 482 patients with bipolar I or II disorder enrolled in a 6-month, randomized, multi-site comparison of lithium- and quetiapine-based treatment. Changes in clinical measures (BISS total and subscales, CGI-BP, and CGI-Efficacy Index) were compared between participants who did and did not receive benzodiazepine treatment at baseline or during follow-up. Selected outcomes were also compared between patients who did and did not initiate benzodiazepines during follow-up using stabilized inverse probability weighted analyses. Results Significant improvement in all outcome measures occurred within each benzodiazepine exposure group. Benzodiazepine users (at baseline or during follow-up) experienced significantly less improvement in BISS total, BISS irritability, and CGI-BP scores than did benzodiazepine non-users. There were no significant differences in these measures between patients who did and did not initiate benzodiazepines during follow-up in the weighted analyses. There was no significant effect of benzodiazepine use on any outcome measure in patients with comorbid anxiety or substance use disorders. Limitations This is a secondary analysis of data from a randomized effectiveness trial that was not designed to address differential treatment response according to benzodiazepine use. Conclusions Adjunctive benzodiazepines may not significantly affect clinical outcome in lithium- or quetiapine-treated patients with bipolar I or II disorder over 6 months, after controlling for potential confounding factors.

We recently became aware of an error in the classification of one study subject's positive treatment response status at the end of the post-continuation phase of this study. We originally reported that all 5 subjects who achieved depressive symptom remission during the acute phase of the study (and thus received 4 weekly continuation phase ketamine infusions) were classified as responders at the end of the post-continuation phase. However, one of these 5 subjects was misclassified as a positive treatment responder at the end of the post-continuation phase. Therefore, only 4 of these 5 patients were positive treatment responders at the end of the post-continuation phase. Although our main conclusions are not changed, we believe that it is our responsibility to report the error and updated results. The authors would like to apologise for any inconvenience caused.

Clozapine has been shown to be superior to typical neuroleptic drugs for treating positive symptoms in treatment-resistant (TR) schizophrenia. Long-term data from randomized clinical trials comparing clozapine with typical neuroleptics in non-TR schizophrenia are rare. We previously reported that clozapine was superior to typical neuroleptic drugs in some domains of cognition in recent onset non-TR schizophrenia. We now present data on psychopathology and quality of life from this randomized, flexibly dosed, 24-month study of clozapine vs. typical neuroleptics in non-TR schizophrenia patients. Both treatments produced significant improvement in measures of psychopathology, quality of life, and global function, with minor exceptions. There was no difference in extrapyramidal side effects between the patients treated with clozapine or typical neuroleptics. However, significantly more relapse/rehospitalization drop-outs occurred in the typical neuroleptic group. Two patients treated with typical neuroleptics, but none treated with clozapine, became non-responsive to treatment. Clozapine was associated with significantly greater weight gain. Clozapine and typical neuroleptic drugs appear to produce equivalent improvement in psychopathology in patients with non-TR schizophrenia. Clozapine may be more effective than typical neuroleptics for treatment retention and prevention of relapse, but it produces more severe metabolic side effects. These considerations should be taken into account in decisions of how best to utilize clozapine in the treatment of schizophrenia.

Melperone is an atypical antipsychotic drug that has been reported to be effective in treatment-resistant schizophrenia and L -DOPA psychosis. There are limited data concerning its effect on weight or body mass index (BMI). Weight and BMI were retrospectively compared in patients with schizophrenia treated with melperone (n = 34), clozapine (n = 225), or typical neuroleptics (n = 74) for up to 3 months. Clozapine resulted in significant increases in weight and BMI from baseline to 6 weeks and 3 months. Neither melperone nor typical neuroleptics resulted in significant weight gain at either time point. Melperone did not result in significant increases in BMI. Weight and BMI were significantly lower with melperone compared with clozapine, but similar to typical neuroleptics. The proportion of melperone patients who experienced a ≥ 7% weight increase was lower than that in patients treated with clozapine and similar to that in patients treated with typical neuroleptics. Percent change in weight and BMI predicted improvement in BPRS total scores at 3 months in the clozapine group, but not in the melperone or typical neuroleptic groups. Because of the relationship between BMI and cardiovascular risk, melperone deserves further study as both a first line treatment and as an alternative to clozapine in refractory schizophrenia.

William V. Bobo , Noreen A. Reilly-Harrington , Terence A. Ketter , Benjamin D. Brody , Gustavo Kinrys , David E. Kemp , Richard C. Shelton , Susan L. McElroy , Louisa G. Sylvia , James H. Kocsis , Melvin G. McInnis , Edward S. Friedman , Vivek Singh , Mauricio Tohen , Charles L. Bowden , Thilo Deckersbach , Joseph R. Calabrese , Michael E. Thase , Andrew A. Nierenberg , Dustin J. Rabideau , David A. Schoenfeld , Stephen V. Faraone, Masoud Kamali h