Obesity: Goff DC

Calhoun DA, Jones D, Textor S, Goff DC, Murphy TP, Toto RD, White A, Cushman WC, White W, Sica D, Ferdinand K, Giles TD, Falkner B, Carey RM, Anonymous00014. · No affiliation provided · Circulation. · Pubmed #18574054 links to  free full text

Abstract: Resistant hypertension is a common clinical problem faced by both primary care clinicians and specialists. While the exact prevalence of resistant hypertension is unknown, clinical trials suggest that it is not rare, involving perhaps 20% to 30% of study participants. As older age and obesity are 2 of the strongest risk factors for uncontrolled hypertension, the incidence of resistant hypertension will likely increase as the population becomes more elderly and heavier. The prognosis of resistant hypertension is unknown, but cardiovascular risk is undoubtedly increased as patients often have a history of long-standing, severe hypertension complicated by multiple other cardiovascular risk factors such as obesity, sleep apnea, diabetes, and chronic kidney disease. The diagnosis of resistant hypertension requires use of good blood pressure technique to confirm persistently elevated blood pressure levels. Pseudoresistance, including lack of blood pressure control secondary to poor medication adherence or white coat hypertension, must be excluded. Resistant hypertension is almost always multifactorial in etiology. Successful treatment requires identification and reversal of lifestyle factors contributing to treatment resistance; diagnosis and appropriate treatment of secondary causes of hypertension; and use of effective multidrug regimens. As a subgroup, patients with resistant hypertension have not been widely studied. Observational assessments have allowed for identification of demographic and lifestyle characteristics associated with resistant hypertension, and the role of secondary causes of hypertension in promoting treatment resistance is well documented; however, identification of broader mechanisms of treatment resistance is lacking. In particular, attempts to elucidate potential genetic causes of resistant hypertension have been limited. Recommendations for the pharmacological treatment of resistant hypertension remain largely empiric due to the lack of systematic assessments of 3 or 4 drug combinations. Studies of resistant hypertension are limited by the high cardiovascular risk of patients within this subgroup, which generally precludes safe withdrawal of medications; the presence of multiple disease processes (eg, sleep apnea, diabetes, chronic kidney disease, atherosclerotic disease) and their associated medical therapies, which confound interpretation of study results; and the difficulty in enrolling large numbers of study participants. Expanding our understanding of the causes of resistant hypertension and thereby potentially allowing for more effective prevention and/or treatment will be essential to improve the long-term clinical management of this disorder.

Calhoun DA, Jones D, Textor S, Goff DC, Murphy TP, Toto RD, White A, Cushman WC, White W, Sica D, Ferdinand K, Giles TD, Falkner B, Carey RM. · No affiliation provided · Hypertension. · Pubmed #18391085 links to  free full text

Abstract: Resistant hypertension is a common clinical problem faced by both primary care clinicians and specialists. While the exact prevalence of resistant hypertension is unknown, clinical trials suggest that it is not rare, involving perhaps 20% to 30% of study participants. As older age and obesity are 2 of the strongest risk factors for uncontrolled hypertension, the incidence of resistant hypertension will likely increase as the population becomes more elderly and heavier. The prognosis of resistant hypertension is unknown, but cardiovascular risk is undoubtedly increased as patients often have a history of long-standing, severe hypertension complicated by multiple other cardiovascular risk factors such as obesity, sleep apnea, diabetes, and chronic kidney disease. The diagnosis of resistant hypertension requires use of good blood pressure technique to confirm persistently elevated blood pressure levels. Pseudoresistance, including lack of blood pressure control secondary to poor medication adherence or white coat hypertension, must be excluded. Resistant hypertension is almost always multifactorial in etiology. Successful treatment requires identification and reversal of lifestyle factors contributing to treatment resistance; diagnosis and appropriate treatment of secondary causes of hypertension; and use of effective multidrug regimens. As a subgroup, patients with resistant hypertension have not been widely studied. Observational assessments have allowed for identification of demographic and lifestyle characteristics associated with resistant hypertension, and the role of secondary causes of hypertension in promoting treatment resistance is well documented; however, identification of broader mechanisms of treatment resistance is lacking. In particular, attempts to elucidate potential genetic causes of resistant hypertension have been limited. Recommendations for the pharmacological treatment of resistant hypertension remain largely empiric due to the lack of systematic assessments of 3 or 4 drug combinations. Studies of resistant hypertension are limited by the high cardiovascular risk of patients within this subgroup, which generally precludes safe withdrawal of medications; the presence of multiple disease processes (eg, sleep apnea, diabetes, chronic kidney disease, atherosclerotic disease) and their associated medical therapies, which confound interpretation of study results; and the difficulty in enrolling large numbers of study participants. Expanding our understanding of the causes of resistant hypertension and thereby potentially allowing for more effective prevention and/or treatment will be essential to improve the long-term clinical management of this disorder.

Goff DC, Cather C, Evins AE, Henderson DC, Freudenreich O, Copeland PM, Bierer M, Duckworth K, Sacks FM. · Schizophrenia Program, Massachusetts General Hospital, Boston, MA 02114, USA. · J Clin Psychiatry. · Pubmed #15705003 No free full text.

Abstract: BACKGROUND: Medical morbidity and mortality rates remain elevated in schizophrenia patients compared with the general population, in part due to potentially reversible medical risk factors. Psychiatrists should address this problem by adopting established strategies for prevention and intervention. METHOD: The literature on modifiable medical risk factors relevant to individuals with schizophrenia and corresponding guidelines for prevention and treatment established by expert consensus panels were reviewed. RESULTS: Schizophrenia patients are at elevated risk for cardiovascular disease due to high rates of cigarette smoking and, increasingly, due to obesity, diabetes, and hypertriglyceridemia. Rates of human immunodeficiency virus infection and infectious hepatitis are also higher in schizophrenia patients. Interventions that have reduced medical morbidity in the general population can be adopted to reduce premature mortality in individuals with schizophrenia. CONCLUSIONS: Patients with schizophrenia have high rates of potentially reversible medical morbidity. Implementation of practice guidelines for identifying and modifying risk factors could substantially improve the health of patients with schizophrenia.

Henderson DC, Fan X, Copeland PM, Sharma B, Borba CP, Forstbauer SI, Miley K, Boxill R, Freudenreich O, Cather C, Evins AE, Goff DC. · Schizophrenia Program, Massachusetts General Hospital, Boston, Massachusetts, USA. · Hum Psychopharmacol. · Pubmed #19283774 No free full text.

Abstract: OBJECTIVE: This study sought to examine the effect of ziprasidone on olanzapine or clozapine-associated medical morbidity such as insulin resistance, diabetes mellitus (DM) and impaired fasting glucose, obesity, and hyperlipidemia in patients with schizophrenia or schizoaffective disorder. METHOD: This was a 6-week, open label trial of ziprasidone 160 mg/day added to a stable dose of olanzapine or clozapine in 21 schizophrenia or schizoaffective patients with DM, impaired fasting glucose, or insulin resistance. RESULTS: Ten olanzapine-treated subjects and 11 clozapine-treated subjects were enrolled in the study. There were no significant differences between the two groups at baseline for age, gender, education, ethnicity, BMI, cholesterol levels, or fasting glucose. At week 6, there were no significant changes in weight, BMI, cholesterol levels, or fasting glucose. There was no significant difference in psychotic, negative, or depressive symptoms. QTc significantly increased at week 2 but not at week 6. CONCLUSIONS: The addition of 160 mg/day of ziprasidone was well tolerated but did not produce significant improvement in fasting glucose, insulin resistance, hyperlipidemia or lead to weight loss in olanzapine- or clozapine-treated subjects with schizophrenia or schizoaffective disorder.

Henderson DC, Copeland PM, Daley TB, Borba CP, Cather C, Nguyen DD, Louie PM, Evins AE, Freudenreich O, Hayden D, Goff DC. · Schizophrenia Program, Weight Center, Endocrine Unit, and Biostatistics Center, Massachusetss General Hospital, Boston, USA. · Am J Psychiatry. · Pubmed #15863798 links to  free full text

Abstract: OBJECTIVE: Weight gain is commonly observed with olanzapine treatment and can increase the risk for obesity, cardiovascular disease, hypertension, and diabetes mellitus. This study examined the effectiveness of sibutramine, an approved weight loss agent, in overweight and obese subjects taking olanzapine for schizophrenia or schizoaffective disorder. METHOD: Each subject had a DSM-IV diagnosis of schizophrenia or schizoaffective disorder, had been taking a stable dose of olanzapine for at least 4 months, and had a body mass index of >/=30 kg/m(2) or >/=27 kg/m(2) plus at least one cardiovascular risk factor. In a 12-week double-blind, randomized, placebo-controlled study, 37 subjects received placebo or sibutramine (up to 15 mg/day). For the first 8 weeks all subjects participated in weekly group sessions focused on nutrition and behavioral modification. RESULTS: The sibutramine and placebo groups had no significant baseline differences on age, gender, education, ethnicity, diagnosis, weight, body mass index, and blood pressure. At week 12 the sibutramine group had significantly greater losses than the placebo group in weight (mean=8.3 lb, SD=2.4, versus mean=1.8 lb, SD=1.6), waist circumference, body mass index, and hemoglobin A(1c). There were no significant differences on most side effects, although the sibutramine group exhibited a mean increase in systolic blood pressure of 2.1 mm Hg (SD=8.5), and anticholinergic side effects and sleep disturbances were at least twice as common in the sibutramine group. CONCLUSIONS: Sibutramine was an effective and well-tolerated adjunct to behavior modification for weight loss in patients with schizophrenia and schizoaffective disorder being treated with olanzapine.

Henderson DC, Cagliero E, Gray C, Nasrallah RA, Hayden DL, Schoenfeld DA, Goff DC. · Psychotic Disorders Program, Diabetes Clinical Research Center, Massachusetts General Hospital, Boston, USA. · Am J Psychiatry. · Pubmed #10831479 links to  free full text

Abstract: OBJECTIVE: The goal of this 5-year naturalistic study of patients treated with clozapine was to examine the incidence of treatment-emergent diabetes mellitus in relation to other factors, including weight gain, lipid abnormalities, age, clozapine dose, and treatment with valproate.METHOD: Data on age, gender, race, diagnosis, family history of diabetes, and age at clozapine initiation were collected from medical records of 82 outpatients with schizophrenia or schizoaffective disorder. Clozapine dose, data on use of valproate, and laboratory test results were recorded at 6-month intervals.RESULTS: The mean age at the time of clozapine initiation of the 82 patients was 36.4 years; 26.8% of the patients were women, and 91.5% were Caucasian. The mean baseline weight was 175.5 lb, and the mean body mass index was 26.9 kg/m(2). Thirty patients (36.6%) were diagnosed with diabetes during the 5-year follow-up. Weight gain, use of valproate, and total daily dose of clozapine were not significant risk factors for developing diabetes mellitus. Patients experienced significant weight gain that continued until approximately month 46 from initiation of clozapine. There was a nonsignificant increase in total serum cholesterol and a significant increase in serum triglycerides level.CONCLUSIONS: The results support the hypotheses that patients treated with clozapine experience significant weight gain and lipid abnormalities and appear to be at increased risk for developing diabetes.

Daumit GL, Goff DC, Meyer JM, Davis VG, Nasrallah HA, McEvoy JP, Rosenheck R, Davis SM, Hsiao JK, Stroup TS, Lieberman JA. · Johns Hopkins Medical Institutions, Welch Center for Prevention, Epidemiology and Clinical Research, 2024 East Monument Street, Suite 2-500, Baltimore, MD 21287, United States. · Schizophr Res. · Pubmed #18775645 No free full text.

Abstract: OBJECTIVE: Persons with schizophrenia die earlier than the general population, in large part due to cardiovascular disease. The study objective was to examine effects of different antipsychotic treatments on estimates of 10-year coronary heart disease (CHD) risk calculated by the Framingham Heart Study formula. METHOD: Change in 10-year risk for CHD was compared between treatment groups in 1125 patients followed for 18 months or until treatment discontinuation in the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Schizophrenia Trial. RESULTS: The covariate-adjusted mean change in 10-year CHD risk differed significantly between treatments. Olanzapine was associated with a 0.5% (SE 0.3) increase and quetiapine, a 0.3% (SE 0.3) increase; whereas risk decreased in patients treated with perphenazine, -0.5% (SE 0.3), risperidone, -0.6% (SE 0.3), and ziprasidone -0.6% (SE 0.4). The difference in 10-year CHD risk between olanzapine and risperidone was statistically significant (p=0.004). Differences in estimated 10-year CHD risk between drugs were most marked in the tertile of subjects with a baseline CHD risk of at least 10%. Among individual CHD risk factors used in the Framingham formula, only total and HDL cholesterol levels differed between treatments. CONCLUSIONS: These results indicate that the impact on 10-year CHD risk differs significantly between antipsychotic agents, with olanzapine producing the largest elevation in CHD risk of the agents studied in CATIE.

Anonymous00096, Buse JB, Bigger JT, Byington RP, Cooper LS, Cushman WC, Friedewald WT, Genuth S, Gerstein HC, Ginsberg HN, Goff DC, Grimm RH, Margolis KL, Probstfield JL, Simons-Morton DG, Sullivan MD. · Division of Endocrinology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC 27599-7172, USA. · Am J Cardiol. · Pubmed #17599422 No free full text.

Abstract: Most patients with type 2 diabetes mellitus develop cardiovascular disease (CVD), with substantial loss of life expectancy. Nonfatal CVD contributes greatly to excess healthcare costs and decreased quality of life in patients with diabetes. The current epidemic of obesity has raised expectations that CVD associated with type 2 diabetes will become an even greater public health challenge. Despite the importance of this health problem, there is a lack of definitive data on the effects of the intensive control of glycemia and other CVD risk factors on CVD event rates in patients with type 2 diabetes. The Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial is a randomized, multicenter, double 2 x 2 factorial design study involving 10,251 middle-aged and older participants with type 2 diabetes who are at high risk for CVD events because of existing CVD or additional risk factors. ACCORD is testing the effects of 3 medical treatment strategies to reduce CVD morbidity and mortality. All participants are in the glycemia trial, which is testing the hypothesis that a therapeutic strategy that targets a glycosylated hemoglobin (HbA1c) level of <6.0% will reduce the rate of CVD events more than a strategy that targets an HbA1c level of 7.0%-7.9%. The lipid trial includes 5,518 of the participants, who receive either fenofibrate or placebo in a double-masked fashion to test the hypothesis of whether, in the context of good glycemic control, a therapeutic strategy that uses a fibrate to increase high-density lipoprotein cholesterol and lower triglyceride levels together with a 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitor (statin) to lower low-density lipoprotein cholesterol will reduce the rate of CVD events compared with a strategy that uses a statin plus a placebo. The blood pressure trial includes the remaining 4,733 participants and tests the hypothesis that a therapeutic strategy that targets a systolic blood pressure of <120 mm Hg in the context of good glycemic control will reduce the rate of CVD events compared with a strategy that targets a systolic blood pressure of <140 mm Hg. The primary outcome measure for all 3 research questions is the first occurrence of a major CVD event, specifically nonfatal myocardial infarction, nonfatal stroke, or cardiovascular death. Upon the expected completion of participant follow-up in 2009, the ACCORD trial should document for the first time the benefits and risks of intensive glucose control, intensive blood pressure control, and the combination of fibrate and statin drugs in managing blood lipids in high-risk patients with type 2 diabetes.

Henderson DC, Fan X, Copeland PM, Borba CP, Daley TB, Nguyen DD, Zhang H, Hayden D, Freudenreich O, Cather C, Evins AE, Goff DC. · The Schizophrenia Program, Massachusetts General Hospital, Boston, MA, USA. · Acta Psychiatr Scand. · Pubmed #17244173 No free full text.

Abstract: This study sought to examine the effectiveness of sibutramine, a weight loss agent, on clozapine-associated weight gain. METHOD: This was a 12-week double-blind, placebo controlled, randomized trial of sibutramine for weight loss in obese clozapine-treated schizophrenia or schizoaffective disorder subjects. RESULTS: Ten patients were enrolled into the placebo group and 11 patients into the sibutramine group. There were no significant baseline differences between the two groups on age, gender, education, ethnicity, diagnosis, weight, body mass index (BMI), and blood pressure. At week 12, there were no significant differences in changes in weight, BMI, abdominal and waist circumferences, Hba1c, fasting glucose, or cholesterol levels. CONCLUSION: Sibutramine treatment did not show significant weight loss compared with placebo in clozapine-treated patients with schizophrenia or schizoaffective disorder. Further research with a larger sample size and longer follow-up duration is warranted.

Henderson DC, Borba CP, Daley TB, Boxill R, Nguyen DD, Culhane MA, Louie P, Cather C, Eden Evins A, Freudenreich O, Taber SM, Goff DC. · Massachusetts General Hospital Schizophrenia Program, Freedom Trail Clinic, Boston, MA, USA. · Ann Clin Psychiatry. · Pubmed #16754415 No free full text.

Abstract: BACKGROUND: The increasing prevalence of overweight and obesity has become a priority public health issue in the United States. Forty to 62% of people with schizophrenia are obese or overweight (1, 2). High morbidity and mortality in schizophrenia may be attributed to an unhealthy lifestyle such as poor diet, lack of exercise, smoking, and substance abuse (3). Obesity is associated with greater risk of developing hypertension, type 2 diabetes, coronary heart disease, stroke, death, and reduced quality of life compared with that found in the general population (4, 5). We performed a cross-sectional study evaluating the dietary intake of patients with schizophrenia or schizoaffective disorder treated with atypical antipsychotic agents. METHODS: Dietary intake of 88 patients from an urban community mental health clinic was measured using a four-day dietary record. Nutritional variables included total energy intake, fat, protein, carbohydrate, cholesterol, fiber, sucrose, folate, calcium, sodium, zinc, alcohol and caffeine. Data were compared to the general population using data matched for age, gender, and ethnicity from the National Health and Nutrition Examination Survey (NHANES), 1999-2000. RESULTS: The Body Mass Index (BMI) of the schizophrenia group (M = 31.3, SD = 12.67) was significantly greater than the NHANES group (M = 28.3, SD = 6.62) (p = .001). The schizophrenia group consumed significantly fewer calories, carbohydrate, protein, total fat, saturated fat, monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), fiber, folate, sodium and alcohol and significantly more caffeine than the NHANES group. CONCLUSIONS: The findings may suggest that obesity in schizophrenia patients is not solely related to food consumption, but perhaps other effects including medication side effects and reduced physical activity. Education and interventions for the schizophrenia population should focus more on overall lifestyle factors such as physical activity and healthy food choices.

Eigenbrodt ML, Fuchs FD, Couper DJ, Goff DC, Sanford CP, Hutchinson RG, Bursac Z. · Department of Epidemiology in the College of Public Health and Division of Cardiology in the College of Medicine, University of Arkansas for Medical Sciences, Little Rock, USA. · J Epidemiol Community Health. · Pubmed #16537353 links to  free full text

Abstract: OBJECTIVE: To investigate if dynamic changes in the pattern of alcoholic beverages consumption are associated with modifications in health perception. Design, setting, and PARTICIPANTS: This study investigated 12 332 middle aged men and women from the atherosclerosis risk in communities study who reported drinking status and perceived health triennially from 1987 to 1995. Crude and adjusted risks for change in health perception between visits two and three by change in drinking status between visits one and two were computed. In the multivariate analysis the sample was restricted to participants with stable drinking status between visit two and three and stable health perception between visits one and two, to assure that exposure and outcome were not temporary. Covariates included age, sex, race, income, smoking status, educational level, and obesity. RESULTS: Health for persons who stopped or started drinking, or continued to abstain was more likely to decline than was health for persons who continued to drink even after adjustment and restrictions (drinking cessation: OR = 1.6, 95% CI = 1.1, 2.3; started drinking; OR = 1.4, 95% CI = 0.9, 2.2; continued abstaining from alcohol: OR = 1.5, 95% CI = 1.3, 1.9). Among participants with poor perceived health, starting, stopping, or continuing to abstain from alcohol did not improve health in relation to participants that continued to drink. CONCLUSION: Increasing and decreasing drinking patterns and continuous abstinence were associated with declining health perception in comparison with continuous drinking, while starting or stopping drinking did not improve health perception of persons with poor perceived health. These findings suggest that change in health perception was not biologically related to alcohol consumption.

Henderson DC, Nguyen DD, Copeland PM, Hayden DL, Borba CP, Louie PM, Freudenreich O, Evins AE, Cather C, Goff DC. · Schizophrenia Program, MGH Weight Center, Massachusetts General Hospital, Boston, MA 02114, USA. · J Clin Psychiatry. · Pubmed #16187768 No free full text.

Abstract: OBJECTIVE: The goal of this 10-year naturalistic study was to examine, in clozapine-treated patients, the change in cardiovascular risk factors following clozapine initiation and the mortality estimates from cardiovascular disease. METHOD: Data were collected from medical records from January 1992 to December 2003 and included age, gender, race, diagnosis, family history of diabetes, and age at clozapine initiation for clozapine-treated patients with schizophrenia or schizoaffective disorder (DSM-IV criteria). Clozapine dosage and laboratory results were recorded at 12-month intervals. RESULTS: At the time of clozapine initiation, the mean +/-?SD age of the 96 patients studied was 36.5 +/- 7.9 years; 28% (N = 27) were women. The Kaplan-Meier estimate for 10-year mortality from cardiovascular disease was 9%. African American and Hispanic American patients exhibited elevated risk of cardiovascular disease-related mortality (odds ratio [OR] = 7.2, p = .09; OR = 11.3, p = .04, respectively) compared to white patients. Body mass index (BMI) significantly increased the odds ratio of mortality (OR = 1.2, p < .01). The Kaplan-Meier estimate for new-onset diabetes mellitus was approximately 43%, and Hispanic American (OR = 4.3, p = .027) and African American (OR = 11.5, p = .0001) patients showed elevated risks of developing diabetes mellitus compared to white patients. Additionally, BMI (OR = 1.11, p = .0006), total cholesterol level (OR = 1.006, p = .04), and serum triglyceride level (OR = 1.002, p = .04) modestly increased the odds ratio for the development of diabetes mellitus. CONCLUSIONS: These results support the hypothesis that clozapine-treated patients appear to be at risk for death from cardiovascular disease secondary to clozapine-associated medical disorders such as obesity, diabetes, hypertension, and hyperlipidemia.

McEvoy JP, Meyer JM, Goff DC, Nasrallah HA, Davis SM, Sullivan L, Meltzer HY, Hsiao J, Scott Stroup T, Lieberman JA. · Department of Psychiatry and Behavioral Sciences, Duke University, Clinical Research, John Umstead Hospital, 1003 12th Street, Butner, NC 27509, USA. · Schizophr Res. · Pubmed #16137860 No free full text.

Abstract: 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.

Goff DC, D'Agostino RB, Haffner SM, Otvos JD. · Public Health Sciences and Internal Medicine, Wake Forest University School of Meicine, Winston-Salem, NC 27157-1063, USA. · Metabolism. · Pubmed #15690322 No free full text.

Abstract: BACKGROUND: Insulin resistance and obesity are associated with a dyslipidemia composed of high levels of triglycerides (TG), low levels of high-density lipoprotein cholesterol (HDL-C), and no change in level of low-density lipoprotein cholesterol (LDL-C). We examined the association of insulin resistance and adiposity with lipoprotein particle size, concentration, and subclass concentrations. METHODS: The Insulin Resistance Atherosclerosis Study is a multicenter cohort study of middle-aged men and women. Lipoprotein lipid concentrations were determined using standard methods. Lipoprotein size, particle concentration, and subclass concentrations were determined using nuclear magnetic resonance technology. Insulin resistance (SI) was determined based on the frequently sampled intravenous glucose tolerance test and the MINMOD program. A higher SI represents less insulin resistance. Fasting insulin, body mass index, waist circumference, and waist/hip ratio were assessed. RESULTS: Among the 1371 participants were 754 women and 617 men; 459 Hispanics, 383 African Americans, and 529 non-Hispanic whites; 437 with type 2 diabetes, 301 with impaired glucose tolerance, and 633 with normal glucose tolerance. The mean (SD) age was 55.5 (8.5) years, body mass index was 29.3 (5.8) kg/m2 , and SI was 1.6 (1.8) units. Adjusted for age, sex, and ethnicity, SI was not associated with LDL-C (r = 0.01); however, S I was associated with LDL size (r = 0.34, P < .001), LDL particle concentration (r = -0.28, P < .001), small LDL (r = -0.34, P < .001), intermediate LDL (r = -0.37, P < .001), and large LDL (r = 0.21, P < .001). In addition, S I was associated with TG (r = -0.36, P < .001), VLDL particles (r = -0.08, P < .01), large VLDL (r = -0.32, P < .001), VLDL size (r = -0.38, P < .001), HDL-C (r = 0.37, P < .001), HDL particles (r = 0.09, P < .001), large HDL (r = 0.31, P < .001), and HDL size (r = 0.33, P < .001). A factor analysis revealed a factor that accounted for 41.4% of the variance across the lipoprotein measures and that was correlated with SI (r = -0.33, P < .001). Similar results of opposing direction were observed for analyses of lipoprotein measures with fasting insulin and adiposity. CONCLUSIONS: The dyslipidemia associated with insulin resistance and obesity includes effects on lipoprotein metabolism that are missed when traditional lipoprotein cholesterol and total TG are examined. Lipoprotein size and subclasses should be examined in studies investigating the roles of insulin resistance and obesity in the pathogenesis and prevention of atherosclerosis.

Henderson DC, Cagliero E, Copeland PM, Borba CP, Evins E, Hayden D, Weber MT, Anderson EJ, Allison DB, Daley TB, Schoenfeld D, Goff DC. · Schizophrenia Program, Massachusetts General Hospital, Boston, MA, USA. · Arch Gen Psychiatry. · Pubmed #15630069 links to  free full text

Abstract: BACKGROUND: While the incidence of new-onset diabetes mellitus may be increasing in patients with schizophrenia treated with certain atypical antipsychotic agents, it remains unclear whether atypical agents are directly affecting glucose metabolism or simply increasing known risk factors for diabetes. OBJECTIVE: To study the 2 drugs most clearly implicated (clozapine and olanzapine) and risperidone using a frequently sampled intravenous glucose tolerance test. DESIGN: A cross-sectional design in stable, treated patients with schizophrenia evaluated using a frequently sampled intravenous glucose tolerance test and the Bergman minimal model analysis. SETTING: Subjects were recruited from an urban community mental health clinic and were studied at a general clinical research center.Patients Fifty subjects signed informed consent and 41 underwent the frequently sampled intravenous glucose tolerance test. Thirty-six nonobese subjects with schizophrenia or schizoaffective disorder, matched by body mass index and treated with either clozapine, olanzapine, or risperidone, were included in the analysis. MAIN OUTCOME MEASURES: Fasting plasma glucose and fasting serum insulin levels, insulin sensitivity index, homeostasis model assessment of insulin resistance, and glucose effectiveness. RESULTS: The mean +/- SD duration of treatment with the identified atypical antipsychotic agent was 68.3 +/- 28.9 months (clozapine), 29.5 +/- 17.5 months (olanzapine), and 40.9 +/- 33.7 (risperidone). Fasting serum insulin concentrations differed among groups (F(33) = 3.35; P = .047) (clozapine>olanzapine>risperidone) with significant differences between clozapine and risperidone (t(33) = 2.32; P = .03) and olanzapine and risperidone (t(33) = 2.15; P = .04). There was a significant difference in insulin sensitivity index among groups (F(33) = 10.66; P<.001) (clozapine<olanzapine<risperidone), with subjects who received clozapine and olanzapine exhibiting significant insulin resistance compared with subjects who were treated with risperidone (clozapine vs risperidone, t(33) = -4.29; P<.001; olanzapine vs risperidone, t(33) = -3.62; P = .001 [P<.001]). The homeostasis model assessment of insulin resistance also differed significantly among groups (F(33) = 4.92; P = .01) (clozapine>olanzapine>risperidone) (clozapine vs risperidone, t(33) = 2.94; P = .006; olanzapine vs risperidone, t(33) = 2.42; P = .02). There was a significant difference among groups in glucose effectiveness (F(30) = 4.18; P = .02) (clozapine<olanzapine<risperidone) with significant differences between clozapine and risperidone (t(30) = -2.59; P = .02) and olanzapine and risperidone (t(30) = -2.34, P = .03). CONCLUSIONS: Both nonobese clozapine- and olanzapine-treated groups displayed significant insulin resistance and impairment of glucose effectiveness compared with risperidone-treated subjects. Patients taking clozapine and olanzapine must be examined for insulin resistance and its consequences.

Katz AS, Goff DC, Feldman SR. · Department of Dermatology Wake Forest University School of Medicine, USA. · Dermatol Online J. · Pubmed #11328611 links to  free full text

Abstract: Acanthosis nigricans is traditionally characterized by hyperpigmented, velvety plaques of body folds. Involvement of other areas occurs as well. The condition is caused by hyperinsulinemia, a consequence of insulin resistance that occurs associated with obesity. As the frequency and degree of obesity increase in the population, a concomitant increase in acanthosis nigricans can be expected. The dermatologist has an important role in identifying the subset of obese patients with acanthosis nigricans. These patients have hyperinsulinemia and may be at greater risk of consequent atherosclerotic cardiovascular disease. It is essential for dermatologists to recognize the many presentations of acanthosis nigricans to identify patients at risk for associated medical conditions. This article illustrates a variety of presentations of acanthosis nigricans associated with insulin resistance.

Brown LK, Kahl FR, Link KM, Hamilton CA, Goff DC, Little WC, Hundley WG. · Department of Internal Medicine (Section on Cardiology), Wake Forest University School of Medicine, Winston-Salem, North Carolina 27157-1045, USA. · Am J Cardiol. · Pubmed #10867110 No free full text.

This publication has no abstract.