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Liang Y, Shi X, Shen Y, Huang Z, Wang J, Shao C, Chu Y, Chen J, Yu J, Kang Y. Enhanced intestinal protein fermentation in schizophrenia. BMC Med 2022; 20:67. [PMID: 35135531 PMCID: PMC8827269 DOI: 10.1186/s12916-022-02261-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 01/17/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Emerging findings highlighted the associations of mental illness to nutrition and dysbiosis in the intestinal microbiota, but the underlying mechanisms, especially in schizophrenia (SZ), remain unclarified. METHODS We conducted a case-control study of SZ patients (case to control=100:52) by performing sequencing of the gut metagenome; measurement of fecal and plasma non-targeted metabolome; including short-, medium-, and long-chain fatty acids; and targeted metabolites, along with recorded details of daily intakes of food. RESULTS The metagenome analysis uncovered enrichment of asaccharolytic species and reduced abundance of carbohydrate catabolism pathways and enzymes in the gut of SZ patients, but increased abundance of peptidases in contrast to their significantly reduced protein intake. Fecal metabolome analysis identified increased concentrations of many protein catabolism products, including amino acids (AAs), urea, branched short-chain fatty acids, and various nitrogenous derivates of aromatic AAs in SZ patients. Protein synthesis, represented by the abundance of AA-biosynthesis pathways and aminoacyl-tRNA transferases in metagenome, was significantly decreased. The AUCs (area under the curve) of the diagnostic random forest models based on their abundance achieved 85% and 91%, respectively. The fecal levels of AA-fermentative enzymes and products uniformly showed positive correlations with the severity of psychiatric symptoms. CONCLUSIONS Our findings revealed apparent dysbiosis in the intestinal microbiome of SZ patients, where microbial metabolism is dominated by protein fermentation and shift from carbohydrate fermentation and protein synthesis in healthy conditions. The aberrant macronutrient metabolism by gut microbes highlights the importance of nutrition care and the potential for developing microbiota-targeted therapeutics in SZ.
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Affiliation(s)
- Ying Liang
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Xing Shi
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,The First Affiliated Hospital (Shenzhen People's Hospital), Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yang Shen
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Zhuoran Huang
- School of Life Sciences, Huaibei Normal University, Huaibei, ,235000, Anhui, China
| | - Jian Wang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,China National Center for Bioinformation, Beijing, 100101, China
| | - Changjun Shao
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,China National Center for Bioinformation, Beijing, 100101, China
| | - Yanan Chu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,China National Center for Bioinformation, Beijing, 100101, China
| | - Jing Chen
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,China National Center for Bioinformation, Beijing, 100101, China
| | - Jun Yu
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.,China National Center for Bioinformation, Beijing, 100101, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, Shijingshan District, Beijing, 100049, China
| | - Yu Kang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. .,China National Center for Bioinformation, Beijing, 100101, China.
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2
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Long B, Willis GC, Lentz S, Koyfman A, Gottlieb M. Diagnosis and Management of the Critically Ill Adult Patient with Hyperglycemic Hyperosmolar State. J Emerg Med 2021; 61:365-375. [PMID: 34256953 DOI: 10.1016/j.jemermed.2021.05.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/16/2021] [Accepted: 05/30/2021] [Indexed: 01/22/2023]
Abstract
BACKGROUND Hyperglycemic hyperosmolar state is a life-threatening complication of diabetes mellitus. Therefore, it is important for emergency physicians to be aware of this unique diagnosis and treatment considerations. OBJECTIVE This manuscript reviews the emergency department evaluation and management of the adult patient with hyperglycemic hyperosmolar state. DISCUSSION Hyperglycemic hyperosmolar state is diagnosed by an elevated glucose, elevated serum osmolality, minimal or absent ketones, and a neurologic abnormality, most commonly altered mental status. Treatment involves fluid resuscitation and correction of electrolyte abnormalities. It is important to monitor these patients closely to avoid overcorrection of osmolality, sodium, and other electrolytes. These patients are critically ill and generally require admission to an intensive care unit. CONCLUSIONS Hyperglycemic hyperosmolar state is associated with significant morbidity and mortality. It is important for clinicians to be aware of the current evidence regarding the diagnosis, management, and disposition of these patients.
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Affiliation(s)
- Brit Long
- Department of Emergency Medicine, Brooke Army Medical Center, Fort Sam Houston, Texas
| | - George C Willis
- Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, Maryland
| | - Skyler Lentz
- Division of Emergency Medicine, Department of Surgery, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Alex Koyfman
- Department of Emergency Medicine, The University of Texas Southwestern Medical Center, Dallas, Texas
| | - Michael Gottlieb
- Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois
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3
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Long B, Willis GC, Lentz S, Koyfman A, Gottlieb M. Evaluation and Management of the Critically Ill Adult With Diabetic Ketoacidosis. J Emerg Med 2020; 59:371-383. [DOI: 10.1016/j.jemermed.2020.06.059] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 05/24/2020] [Accepted: 06/11/2020] [Indexed: 12/19/2022]
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4
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Abstract
AbstractRecently, attention has focused on a potential link between schizophrenia and diabetes, with speculation that this potential associationis stronger in patients who are prescribed atypical antipsychotics. Pharmacoepidemiological studies can help to evaluate this potential association. Source data on the incidence of diabetes in patients treated with antipsychotics is available in the FDA MedWatch database, prescription claims databases and other patient registries. These data indicate that antipsychotic drugs may increase the risk of developing diabetes and that there may be an interaction with age. However, current data are insufficient to accurately assess potential differences in the risk of diabetes between users of individual antipsychotic medications. In addition, antipsychotic treatment-emergent diabetes has several distinct features, notably relating to age of onset, gender ratio, rate of deterioration of glycaemic control, and independence from initial treatment emergent weight gain. Nonetheless, guidelines for the control of risk factors for diabetes developed for the general population appear to be applicable to patients with schizophrenia.
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Affiliation(s)
- T Bottai
- Service de psychiatrie générale de Martigues 13G24, hôpital du Vallon, BP 248, CH de Martigues, 13698 Martigues cedex, France
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5
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Daley EJ, Pajevic PD, Roy S, Trackman PC. Impaired Gastric Hormone Regulation of Osteoblasts and Lysyl Oxidase Drives Bone Disease in Diabetes Mellitus. JBMR Plus 2019; 3:e10212. [PMID: 31687648 PMCID: PMC6820454 DOI: 10.1002/jbm4.10212] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 06/06/2019] [Accepted: 06/11/2019] [Indexed: 12/15/2022] Open
Abstract
Diabetic bone disease is a complication of type I and type II diabetes, both of which are increasing in the United States and elsewhere. Increased hip and foot fracture rates do not correlate well with changes in bone mineral density (BMD), whereas studies support the importance of collagen structure to bone strength. Extracellular lysyl oxidase (LOX) catalyzes the oxidative deamination of hydroxylysine and lysine residues in collagens resulting in aldehydes that subsequently form critically important biosynthetic crosslinks that stabilize functional collagens. Although LOX-dependent biosynthetic crosslinks in bone collagen are deficient in diabetic bone, the expression and regulation of bone LOXs in diabetes have not been comprehensively studied. Here, we found that LOX is profoundly downregulated in bone in diabetes. Moreover, we have identified a novel metabolic regulatory relationship that is dysregulated in diabetes using mouse models. Data indicate that the incretin (gastric hormone) known as glucose-dependent insulinotropic polypeptide (GIP) that is anabolic to osteoblasts strongly upregulates LOX, and that this regulation is disrupted in the streptozotocin-induced model of diabetes in mice. In vivo and in vitro studies support that diabetes results in elevated circulating peripheral dopamine, likely also derived from the gut, and is responsible for blocking GIP signaling and LOX levels in osteoblasts. Moreover, peripheral administration of the dopamine D2 receptor antagonist amisulpride to diabetic mice restored trabecular bone structure to near normal and partially reversed downregulation of LOX. Taken together our data identifies a novel metabolic relationship between the gut-derived hormone GIP and bone-derived LOX, and points to the importance of LOX dysregulation in the pathology of diabetic bone disease. © 2019 The Authors. JBMR Plus published by Wiley Periodicals, Inc. on behalf of the American Society for Bone and Mineral Research.
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Affiliation(s)
- Eileen J Daley
- Boston University Henry M. Goldman School of Dental Medicine, Department of Molecular and Cell BiologyBostonMAUSA
| | - Paola Divieti Pajevic
- Boston University Henry M. Goldman School of Dental Medicine, Department of Molecular and Cell BiologyBostonMAUSA
| | - Sayon Roy
- Boston University School of Medicine, Department of MedicineBostonMAUSA
| | - Philip C Trackman
- Boston University Henry M. Goldman School of Dental Medicine, Department of Molecular and Cell BiologyBostonMAUSA
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6
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Hirsch L, Yang J, Bresee L, Jette N, Patten S, Pringsheim T. Second-Generation Antipsychotics and Metabolic Side Effects: A Systematic Review of Population-Based Studies. Drug Saf 2018; 40:771-781. [PMID: 28585153 DOI: 10.1007/s40264-017-0543-0] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION There is strong evidence from randomized controlled trials (RCTs) that second-generation antipsychotic (SGA) medications are associated with metabolic adverse events. However, with the recent increases in the use of SGAs worldwide and frequent off-label use, it is unclear whether these associations are generalizable to populations beyond those included in RCTs. OBJECTIVES This review aims to characterize the impact of SGAs on the population through a systematic review of population-based studies of SGA users. Studies could examine the use of any SGA medication and any comparator group. Studies also needed to include at least one metabolic outcome such as type 2 diabetes mellitus, dyslipidemia, obesity, hypertension, or metabolic syndrome. METHODS A systematic search process was used to identify studies for inclusion in this review. Included studies had to be population-based studies of users of any SGA medication with at least one reported metabolic outcome. Study quality was also assessed using the AMSTAR tool, and evidence was synthesized by both metabolic outcome and specific SGA medication. RESULTS In total, 15 studies were included in this review. Type 2 diabetes mellitus was the most frequently reported outcome; clozapine and olanzapine were most strongly associated with type 2 diabetes mellitus. Evidence was mixed for a moderate association between type 2 diabetes mellitus and risperidone or quetiapine. Few studies examined other metabolic outcomes, and therefore it is difficult to estimate the true effect in the population. DISCUSSION Population-based evidence for other SGAs and metabolic outcomes was limited. However, clozapine and olanzapine were consistently more strongly associated with metabolic adverse events than were other SGAs currently available.
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Affiliation(s)
- Lauren Hirsch
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada
| | - Jaeun Yang
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Lauren Bresee
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.,O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada.,Canadian Agency for Drugs and Technologies in Health, Ottawa, ON, Canada
| | - Nathalie Jette
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada
| | - Scott Patten
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.,O'Brien Institute of Public Health, University of Calgary, Calgary, AB, Canada
| | - Tamara Pringsheim
- Department of Clinical Neurosciences, Psychiatry, Pediatrics and Community Health Sciences, University of Calgary, Mathison Centre for Mental Health Research and Education, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
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7
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Abstract
BackgroundMuch of the existing data regarding the relationship between antipsychotic medications and diabetes mellitus are non-prospective.AimsTo review critically non-prospective studies examining antipsychotic medications as risk factors for diabetes mellitus.MethodDatabase and manual searches.ResultsAnecdotal reports indicate that conventional and atypical antipsychotics can cause diabetes mellitus. However, retrospective studies cannot reliably quantify this association, as they do not adequately control for confounding risk factors for diabetes, or for variation in detection and diagnosis of this illness. Most studies report a higher rate of diabetes in patients who use antipsychotic medication than in non-users, and in patients taking atypical v. conventional antipsychotics. Studies assessing the relative risks of diabetes between individual atypical antipsychotics are contradictory.ConclusionsRetrospective data are of limited value. Well-designed prospective studies, which account for potential confounders, are needed to investigate the true association between antipsychotic medications and diabetes.
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Affiliation(s)
- Peter M Haddad
- Cromwell House, Bolton, Salford and Trafford Mental Health NHS Trust, Cromwell Road, Eccles, Salford M30 0GT, UK
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8
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Bushe C, Leonard B. Association between atypical antipsychotic agents and type 2 diabetes: Review of prospective clinical data. Br J Psychiatry 2018; 47:S87-93. [PMID: 15056600 DOI: 10.1192/bjp.184.47.s87] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BackgroundMost evidence suggesting an association between schizophrenia, antipsychotic medications and diabetes has been based on retrospective studies not controlled for important confounders.AimsTo compare diabetogenic risk between antipsychotic medications; and to describe the limitations of current prospective data-sets.MethodSystematic review of prospective clinical data.ResultsNo difference in the incidence of glycaemic abnormalities between placebo cohorts and antipsychotic medication cohorts was identified. No significant difference between any of the antipsychotic medications studied in terms of their association with glycaemic abnormalities was identified. Treatment-related weight gain did not appear to increase the risk of developing diabetes.ConclusionsDiabetogenic potential ascribed to atypical antipsychotic drugs, resulting from retrospective studies, may be incorrect. Cohort sizes and incomplete sampling must preclude any definitive conclusions. Long-term, large, comparative prospective trials are needed, along with agreement upon glucose measurement of choice.
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Cavazzoni P, Mukhopadhyay N, Carlson C, Breier A, Buse J. Retrospective analysis of risk factors in patients with treatment-emergent diabetes during clinical trials of antipsychotic medications. Br J Psychiatry 2018; 47:S94-101. [PMID: 15056601 DOI: 10.1192/bjp.184.47.s94] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
AimsIn this retrospective analysis, we assessed the short-term risk of treatment-emergent diabetes (TED) among patients with schizophrenia during clinical trials of antipsychotic medications.MethodFrom a non-diabetic cohort of patients with schizophrenia (n=5013), the relationship between baseline non-fasting glucose measurement, presence at baseline of risk factors for diabetes, weight gain and therapy assignment on the risk of treatment-emergent diabetes were assessed.ResultsAt the baseline assessment, about a third of patients identified with TED during treatment had non-fasting glucose levels over 7.8 mmol/l and two-thirds had multiple diabetes risk factors. Both baseline non-fasting glucose level and the presence of multiple pre-existing diabetes risk factors appeared to have a major impact on the risk of developing diabetes.ConclusionsOverall, risk factors for diabetes in patients with schizophrenia overlap those in the general population. The results also suggest that many patients identified with TED might have had pre-existing glycaemic abnormalities or a high baseline burden of diabetes risk factors.
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Affiliation(s)
- Patrizia Cavazzoni
- Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, Indiana, USA.
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10
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Zhang Y, Liu Y, Su Y, You Y, Ma Y, Yang G, Song Y, Liu X, Wang M, Zhang L, Kou C. The metabolic side effects of 12 antipsychotic drugs used for the treatment of schizophrenia on glucose: a network meta-analysis. BMC Psychiatry 2017; 17:373. [PMID: 29162032 PMCID: PMC5698995 DOI: 10.1186/s12888-017-1539-0] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Accepted: 11/13/2017] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Antipsychotics have serious metabolic side effects on blood glucose. However, the comparative influence of these drugs on blood glucose levels has not been comprehensively evaluated. We conducted a network meta-analysis to create a hierarchy of the side effects of 12 antipsychotic drugs on changes in blood glucose levels. METHODS A systematic search of the PubMed, EMBASE and Cochrane databases (last search June 2016) was conducted to identify studies that reported randomized controlled trials (RCTs) comparing changes in blood glucose levels between patients receiving one of 12 antipsychotic drugs or a placebo for the treatment of schizophrenia or related disorders. The studies we searched were limited to those published in English. Two reviewers independently extracted data. The primary outcome of interest was changes in fasting glucose levels. RESULTS We included 47 studies with 114 relevant arms. Of the antipsychotic drugs, only olanzapine was associated with significantly increased glucose levels compared to a placebo (mean difference (MD) = 3.95, 95% confidence interval (CI) = 0.14 to 7.76). Moreover, olanzapine was associated with a significantly greater change in the glucose levels than ziprasidone (MD = 5.51, 95% CI = 1.62 to 9.39), lurasidone (MD = 5.58, 95% CI = 0.53 to 10.64) or risperidone (MD = 3.05, 95% CI = 0.87 to 5.22). Ziprasidone and lurasidone were associated with minimal glucose changes compared to the other antipsychotics. CONCLUSIONS Olanzapine was associated with a significantly greater change in blood glucose levels than ziprasidone, lurasidone, risperidone or placebo treatment. The application of a hierarchy of glucose metabolism-related side effects may help clinicians tailor the choice of antipsychotic drug to meet the needs of individual patients.
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Affiliation(s)
- Yangyu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Yingyu Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Yingying Su
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Yueyue You
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Yue Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Guang Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Yan Song
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Xinyu Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Mohan Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Lili Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin Province 130021 China
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11
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Unresolved Issues for Utilization of Atypical Antipsychotics in Schizophrenia: Antipsychotic Polypharmacy and Metabolic Syndrome. Int J Mol Sci 2017; 18:ijms18102174. [PMID: 29057817 PMCID: PMC5666855 DOI: 10.3390/ijms18102174] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 10/11/2017] [Accepted: 10/14/2017] [Indexed: 12/13/2022] Open
Abstract
Atypical antipsychotics (AAP) are the prevailing form of schizophrenia treatment today due to their low side effects and superior efficacy. Nevertheless, some issues still need to be addressed. First, there are still a large number of patients with treatment-resistant schizophrenia (TRS), which has led to a growing trend to resort to AAP polypharmacy with few side effects. Most clinical treatment guidelines recommend clozapine monotherapy in TRS, but around one third of schizophrenic patients fail to respond to clozapine. For these patients, with clozapine-resistant schizophrenia AAP polypharmacy is a common strategy with a continually growing evidence base. Second, AAP generally have great risks for developing metabolic syndrome, such as weight gain, abnormality in glucose, and lipid metabolism. These metabolic side effects have become huge stumbling blocks in today's schizophrenia treatment that aims to improve patients' quality of life as well as symptoms. The exact reasons why this particular syndrome occurs in patients treated with AAP is as yet unclear though factors such as interaction of AAP with neurotransmitter receptors, genetic pholymorphisms, type of AAPs, length of AAP use, and life style of schizophrenic patients that may contribute to its development. The present article aimed to review the evidence underlying these key issues and provide the most reasonable interpretations to expand the overall scope of antipsychotics usage.
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Association of variants in SH2B1 and RABEP1 with worsening of low-density lipoprotein and glucose parameters in patients treated with psychotropic drugs. Gene 2017; 628:8-15. [DOI: 10.1016/j.gene.2017.07.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 05/11/2017] [Accepted: 07/02/2017] [Indexed: 12/22/2022]
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Fayfman M, Pasquel FJ, Umpierrez GE. Management of Hyperglycemic Crises: Diabetic Ketoacidosis and Hyperglycemic Hyperosmolar State. Med Clin North Am 2017; 101:587-606. [PMID: 28372715 PMCID: PMC6535398 DOI: 10.1016/j.mcna.2016.12.011] [Citation(s) in RCA: 97] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) are the most serious and life-threatening hyperglycemic emergencies in diabetes. DKA is more common in young people with type 1 diabetes and HHS in adult and elderly patients with type 2 diabetes. Features of the 2 disorders with ketoacidosis and hyperosmolality may coexist. Both are characterized by insulinopenia and severe hyperglycemia. Early diagnosis and management are paramount. Treatment is aggressive rehydration, insulin therapy, electrolyte replacement, and treatment of underlying precipitating events. This article reviews the epidemiology, pathogenesis, diagnosis, and management of hyperglycemic emergencies.
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Affiliation(s)
- Maya Fayfman
- Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, 69 Jesse Hill Jr. Drive Southeast, 2nd Floor, Atlanta, GA 30303, USA
| | - Francisco J Pasquel
- Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, 69 Jesse Hill Jr. Drive Southeast, 2nd Floor, Atlanta, GA 30303, USA
| | - Guillermo E Umpierrez
- Division of Endocrinology and Metabolism, Department of Medicine, Emory University School of Medicine, 69 Jesse Hill Jr. Drive Southeast, 2nd Floor, Atlanta, GA 30303, USA.
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14
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Wang B, Studdert DM, Sarpatwari A, Franklin JM, Landon J, Kesselheim AS. The effect of federal and state off-label marketing investigations on drug prescribing: The case of olanzapine. PLoS One 2017; 12:e0175313. [PMID: 28388667 PMCID: PMC5384770 DOI: 10.1371/journal.pone.0175313] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 03/23/2017] [Indexed: 11/18/2022] Open
Abstract
In the past decade, the federal government has frequently investigated and prosecuted pharmaceutical manufacturers for illegal promotion of drugs for indications not approved by the Food and Drug Administration (FDA) (“off-label” uses). State governments can choose to coordinate with the federal investigation, or pursue their own independent state investigations. One of the largest-ever off-label prosecutions relates to the atypical antipsychotic drug olanzapine (Zyprexa). In a series of settlements between 2008 and 2010, Eli Lilly paid $1.4 billion to the federal government and over $290 million to state governments. We examined the effect of these settlements on off-label prescribing of this medication, taking advantage of geographical differences in states’ involvement in the investigations and the timing of the settlements. However, we did not find a reduction in off-label prescribing; rather, there were no prescribing changes among states that joined the federal investigation, those that pursued independent state investigations, and states that pursued no investigations at all. Since the settlements of state investigations of off-label prescribing do not appear to significantly impact prescribing rates, policymakers should consider alternate ways of reducing the prevalence of non-evidence-based off-label use to complement their ongoing investigations.
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Affiliation(s)
- Bo Wang
- Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - David M. Studdert
- Center for Health Policy/Center for Primary Care and Outcomes Research Stanford Medical School & Stanford Law School, Stanford University, Stanford, California, United States of America
| | - Ameet Sarpatwari
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jessica M. Franklin
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Joan Landon
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Aaron S. Kesselheim
- Program On Regulation, Therapeutics, And Law (PORTAL), Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
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15
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Citrome LL, Holt RIG, Zachry WM, Clewell JD, Orth PA, Karagianis JL, Hoffmann VP. Risk of Treatment-Emergent Diabetes Mellitus in Patients Receiving Antipsychotics. Ann Pharmacother 2016; 41:1593-603. [PMID: 17785613 DOI: 10.1345/aph.1k141] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Background: Type 2 diabetes mellitus has been reported during antipsychotic treatment. Objective: To quantify the potential risk of treatment-emergent diabetes mellitus among patients receiving antipsychotic medications. Methods: The MEDLINE and Psychinfo databases were searched using the key words antipsychotic (including individual drug names), diabetes, risk, and incidence for all English-language articles published between 1966 and 2005. Risk calculations were performed using data obtained from pharmacoepidemiologic studies that met the following criteria: (1) cohort design, (2) determination of preexisting diabetes, (3) inclusion of antipsychotic monotherapy as an exposure variable, and (4) comparison with exposure to first-generation antipsychotics. Studies meeting these criteria were used to calculate incidence, attributable risk between agents, and number needed to harm. Results: A total of 25 observational pharmacoepidemiologic studies were found comparing antipsychotics on the outcome of diabetes mellitus. Sufficient information was provided in 15 of the reports to be able to estimate attributable risk, Attributable risk for individual second-generation antipsychotics relative to first-generation antipsychotics ranged from 53 more to 46 fewer new cases of diabetes per 1000 patients. Little observable difference was noted between the individual second-generation antipsychotics versus first-generation antipsychotics on this outcome. However, few of the studies controlled for body weight, race or ethnicity, or the presence of diabetogenic medications. None adjusted for familial history of diabetes, levels of physical activity, or diet, as this information is not usually available in the databases used in pharmacoepidemiologic studies. Conclusions: Based on the published pharmacoepidemiologic reports reviewed, the avoidance of diabetes as an outcome cannot be predictably achieved with precision by choice of a second- versus a first-generation antipsychotic. Risk management for new-onset diabetes requires the assessment of established risk factors such as family history, advancing age, non-white ethnicity, diet, central obesity, and level of physical activity.
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Affiliation(s)
- Leslie L Citrome
- Department of Psychiatry, School of Medicine, New York University, New York, NY, USA.
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Real-world risk of diabetes with antipsychotic use in older New Zealanders: a case-crossover study. Eur J Clin Pharmacol 2016; 73:233-239. [PMID: 27885398 DOI: 10.1007/s00228-016-2158-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 11/03/2016] [Indexed: 10/20/2022]
Abstract
PURPOSE The primary aim was to examine and compare the increased risk of incident diabetes associated with second-generation antipsychotics (SGAs) and first-generation antipsychotics (FGAs), with and without adjusting for potential confounding factors. The secondary aim was to recalculate the relative risks of diabetes onset using a semi-symmetric bidirectional case-crossover (SSBC) design to adjust for time-trend bias. METHOD Prescription records (2005-2015) of antipsychotics were sourced from New Zealand Pharmaceutical Collections. The first-time diabetes diagnosis was extracted from the National Minimal Dataset. Relative risks (RRs) of diabetes onset were calculated using conditional logistic regression. Time-trend bias was corrected by recalculating the RR using a SSBC design. RESULTS Among 645 individuals, the risk of diabetes onset is higher in SGA users (ARR = 8.72, 95% CI = [5.57, 13.67]) compared to FGA users (ARR = 5.68, 95% CI = [3.43, 9.39]). The increased risk of diabetes onset associated with quetiapine is higher (ARR = 7.47, 95% CI = [4.10, 13.62]), compared to haloperidol (ARR = 5.05, 95% CI = [2.91, 8.75]). However, the increased risk of diabetes onset associated with olanzapine (ARR = 2.27, 95% CI = [0.86, 5.98]) is insignificant after adjusting for concomitant use of effect modifiers and other antipsychotic drugs. CONCLUSION The results support that the magnitude of the risk of diabetes is higher with SGA use compared with FGA use, and the risk is higher when co-prescribed. Confounding by indication and time-varying confounders such as body mass index could bias the risk of onset of diabetes. Marginal structural models could provide more precise estimates of the risk of onset of diabetes following exposure to antipsychotics.
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Sohn M, Talbert J, Moga DC, Blumenschein K. A cost-effectiveness analysis of off-label atypical antipsychotic treatment in children and adolescents with ADHD who have failed stimulant therapy. ATTENTION DEFICIT AND HYPERACTIVITY DISORDERS 2016; 8:149-158. [PMID: 27143026 PMCID: PMC5723436 DOI: 10.1007/s12402-016-0198-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Accepted: 04/24/2016] [Indexed: 06/05/2023]
Abstract
The objectives of this study are: (1) to estimate the expected health outcomes of atypical antipsychotics (AAPs) and other non-stimulant attention-deficit/hyperactivity disorder (ADHD) medications and (2) to evaluate the cost-effectiveness of AAPs compared to other non-stimulant ADHD medications. We used decision analysis to compare three alternatives for treating children and adolescents with ADHD who failed initial stimulant treatment: (1) AAPs, (2) a selective norepinephrine reuptake inhibitor (atomoxetine), and (3) selective α2-adrenergic agonists (clonidine and guanfacine). Probability estimates and quality-adjusted life year (QALY) weights were derived from a literature review. Cost-effectiveness was estimated using the expected health outcomes derived from the decision analysis and expected costs from the literature. The study was conducted from the third-party payer perspective, and the study period was 1 year. One-way deterministic sensitivity analysis and a Monte Carlo simulation were performed. Over the course of 1 year of ADHD pharmacotherapy, the highest QALY was for clonidine/guanfacine (expected QALY = 0.95) followed by atomoxetine (expected QALY = 0.94). Atypical antipsychotics yielded the lowest health outcome with an expected QALY of 0.84. In the cost-effectiveness analysis, the AAP strategy was dominated as it was less effective and more costly than other two strategies. Compared to clonidine/guanfacine, AAPs provided lower QALYs (0.11 QALY lost) at an additional cost of $2186 on average. Compared to atomoxetine, AAPs resulted in 0.10 QALYs lost at an additional cost of $2186. In this decision analysis model, AAPs provide lower expected health outcomes than other ADHD medications in children and adolescents who failed prior stimulant therapy. Furthermore, AAPs were not a cost-effective option.
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Affiliation(s)
- Minji Sohn
- College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA.
- Department of Pharmaceutical Sciences, College of Pharmacy, Ferris State University, 220 Ferris Drive, Big Rapids, MI, 49307, USA.
| | - Jeffery Talbert
- College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA
| | - Daniela C Moga
- College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA
- Department of Epidemiology, College of Public Health, University of Kentucky, 111 Washington Avenue, Lexington, KY, 40536, USA
| | - Karen Blumenschein
- College of Pharmacy, University of Kentucky, 789 South Limestone Street, Lexington, KY, 40536, USA
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Suehs BT, Bettinger TL, Hall CS. Atypical Antipsychotics and Diabetes: Discussion and Monitoring Recommendations. J Pharm Technol 2016. [DOI: 10.1177/875512250502100103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective:To discuss the relationship between atypical antipsychotics (AAPs) and diabetes and to report new monitoring recommendations for patients being prescribed AAPs.Data Sources:Articles were identified through searches of MEDLINE and PubMed (1966–March 2004). Search terms included hyperglycemia, diabetes, glucose, atypical antipsychotics, clozapine, risperidone, olanzapine, quetiapine, ziprasidone, and aripiprazole. Only articles published in the English language were included in the search. Additionally, bibliographies of articles cited were used to identify additional articles.Study Selection and Data Extraction:All available articles identified by the data sources were reviewed and those deemed relevant to the review were included.Data Synthesis:Information pertaining to diabetes/hyperglycemia risk in case reports and submissions to the Medwatch system prompted the FDA to require labeling changes for all AAPs. The exact relationship between AAPs and diabetes remains unclear. The association is clouded by the fact that patients with schizophrenia are, in general, at higher risk for diabetes mellitus. Sedentary lifestyle and poor dietary intake are 2 possible contributing causes of diabetes in patients with schizophrenia. Weight gain or other metabolic effects of AAPs may put patients at further risk of developing diabetes. The American Diabetes Association, American Psychiatric Association, American Association of Clinical Epidemiologists, and North American Association for the Study of Obesity have released a joint consensus statement addressing some of the concerns related to AAP use.Conclusions:Because of the apparent increased risk of diabetes in patients taking AAPs, monitoring weight, fasting blood glucose, blood pressure, and lipids should be a part of the baseline assessment and ongoing care.
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Affiliation(s)
- Brandon T Suehs
- BRANDON T SUEHS PharmD, Psychiatric Pharmacy Practice Resident, College of Pharmacy, The University of Texas at Austin, Austin, TX
| | - Tawny L Bettinger
- TAWNY L BETTINGER PharmD BCPP, Assistant Professor, Division of Pharmacy Practice, College of Pharmacy, The University of Texas at Austin
| | - Catherine S Hall
- CATHERINE S HALL PharmD BCPP, Clinical Pharmacist, Bluebonnet Trails Community Mental Health Center, Seguin, TX
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Ward M, Druss B. The epidemiology of diabetes in psychotic disorders. Lancet Psychiatry 2015; 2:431-451. [PMID: 26360287 DOI: 10.1016/s2215-0366(15)00007-3] [Citation(s) in RCA: 102] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2014] [Accepted: 01/09/2015] [Indexed: 01/14/2023]
Abstract
Diabetes is highly prevalent in people with psychotic disorders, including schizophrenia and schizoaffective disorders. Exact prevalence is difficult to estimate, since diabetes is often underdiagnosed in people with psychosis. Results of several studies show that the prevalence of diabetes exceeds that in the general population, with documented prevalence in those with psychosis ranging from 1·26% to 50% across studies (median 13%). The association between diabetes and psychosis is complex and multifactorial. Many of the traditional risk factors for disease have increased prevalence in patients with psychotic disorders. In addition to these traditional risk factors, people with psychosis have unique risks that might have additive or even synergistic effects. These risks include the use of antipsychotic medication, the effects of adverse social determinants of health, and genetic loading. Despite evidence that rates of diabetes are increased in individuals with psychosis, many of these patients are not diagnosed or treated, resulting in increased diabetes-associated morbidity and mortality. Specific patient factors, provider issues, and systems-level factors contribute to the treatment gap. Interventions at both the clinical and public health levels are needed to successfully address this problem.
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Affiliation(s)
- Martha Ward
- Department of Psychiatry and Behavioral Sciences, Department of Medicine, Emory University, Atlanta, GA, USA.
| | - Benjamin Druss
- Department of Psychiatry and Behavioral Sciences, Department of Medicine, Emory University, Atlanta, GA, USA; Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Volpato AM, Zugno AI, Quevedo J. Recent evidence and potential mechanisms underlying weight gain and insulin resistance due to atypical antipsychotics. BRAZILIAN JOURNAL OF PSYCHIATRY 2014; 35:295-304. [PMID: 24142093 DOI: 10.1590/1516-4446-2012-1052] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Accepted: 12/20/2012] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Atypical antipsychotics (AAPs) promote obesity and insulin resistance. In this regard, the main objective of this study was to present potential mechanisms and evidence concerning side effects of atypical antipsychotics in humans and rodents. METHOD A systematic review of the literature was performed using the MEDLINE database. We checked the references of selected articles, review articles, and books on the subject. RESULTS This review provides consistent results concerning the side effects of olanzapine (OL) and clozapine (CLZ), whereas we found conflicting results related to other AAPs. Most studies involving humans describe the effects on body weight, adiposity, lipid profile, and blood glucose levels. However, it seems difficult to identify an animal model replicating the wide range of changes observed in humans. Animal lineage, route of administration, dose, and duration of treatment should be carefully chosen for the replication of the findings in humans. CONCLUSIONS Patients undergoing treatment with AAPs are at higher risk of developing adverse metabolic changes. This increased risk must be taken into account when making decisions about treatment. The influence of AAPs on multiple systems is certainly the cause of such effects. Specifically, muscarinic and histaminergic pathways seem to play important roles.
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Affiliation(s)
- Ana Maria Volpato
- Universidade do Extremo Sul Catarinense, Laboratory of Neurosciences, CriciúmaSC, Brazil
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Lipscombe LL, Austin PC, Alessi-Severini S, Blackburn DF, Blais L, Bresee L, Filion KB, Kawasumi Y, Kurdyak P, Platt RW, Tamim H, Paterson JM. Atypical antipsychotics and hyperglycemic emergencies: multicentre, retrospective cohort study of administrative data. Schizophr Res 2014; 154:54-60. [PMID: 24581419 DOI: 10.1016/j.schres.2014.01.043] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Revised: 01/28/2014] [Accepted: 01/30/2014] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To evaluate the relationship between initiation of atypical antipsychotic agents and the risk of hyperglycemic emergencies. METHOD We conducted a multicentre retrospective cohort study using administrative health data from 7 Canadian provinces and the UK Clinical Practice Research Datalink. Hospitalizations for hyperglycemic emergencies (hyperglycemia, diabetic ketoacidosis, hyperosmolar hyperglycemic state) were compared between new users of risperidone (reference), and new users of olanzapine, other atypical antipsychotics, and typical antipsychotics. We used propensity scores with inverse probability of treatment weighting and proportional hazard models to estimate the site-specific hazard ratios of hyperglycemic emergencies in the year following drug initiation separately for adults under and over age 66 years. Site-level results were pooled using meta-analytic methods. RESULTS Among 725,489 patients, 55% were aged 66+years; 5% of younger and 19% of older patients had pre-existing diabetes. Hyperglycemic emergencies were rare (1-2 per 1000 person years), but more frequent in patients with pre-existing diabetes (6-12 per 1000 person years). We did not find a significant difference in risk of hyperglycemic emergencies with initiation of olanzapine versus risperidone; however heterogeneity existed between sites. The risk of an event was significantly lower with other atypical (99% quetiapine) compared to risperidone use in older patients [adjusted hazard ratio, 95% confidence interval (CI): 0.69, 0.53-0.90]. CONCLUSIONS Risk for hyperglycemic emergencies is low after initiation of antipsychotics, but patients with pre-existing diabetes may be at greater risk. The risk appeared lower with the use of quetiapine in older patients, but the clinical significance of the findings requires further study.
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Affiliation(s)
- Lorraine L Lipscombe
- Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada; Women's College Hospital, Women's College Research Institute, Department of Medicine, University of Toronto, 790 Bay St, Toronto, ON M5G 1N8, Canada.
| | - Peter C Austin
- Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
| | - Silvia Alessi-Severini
- Faculty of Pharmacy, Apotex Centre, University of Manitoba, Winnipeg, MB R3E 0T5, Canada; Manitoba Centre for Health Policy, 408-727 McDermot Ave, Winnipeg, MB R3E 3P5, Canada
| | - David F Blackburn
- College of Pharmacy & Nutrition, University of Saskatchewan, 110 Science Place, Saskatoon, SK S7N 5C9, Canada
| | - Lucie Blais
- Faculty of Pharmacy, Université de Montréal, 2940 Chemin de Polytechnique, Montreal, QC H3T 1J4, Canada
| | - Lauren Bresee
- Alberta Health Services, 10301 Southport Lane SW, Calgary, AB T2W 1S7, Canada
| | - Kristian B Filion
- Division of Clinical Epidemiology, McGill University, Ross Pavillion, 687 avenue des Pins Ouest, Montreal, QC H3A 1A1, Canada; Lady Davis Research Institute at the Jewish General Hospital, 3755 Côte Ste-Catherine Road, Montreal, QC H3T 1E2, Canada
| | - Yuko Kawasumi
- Department of Anesthesiology, Pharmacology, & Therapeutics, University of British Columbia, 217-2176 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
| | - Paul Kurdyak
- Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada; Centre for Addiction and Mental Health, 250 College St, Toronto, ON M5T 1R8, Canada
| | - Robert W Platt
- Departments of Epidemiology, Biostatistics, and Occupational Health, and of Pediatrics, McGill University, Purvis Hall, 1020 Pine Ave. West, Montreal, QC H3A 1A2, Canada
| | - Hala Tamim
- Department of Community Health and Epidemiology, Dalhousie University, 5790 University Ave, Halifax, NS B3H 1V7, Canada; School of Kinesiology and Health Science, York University, 341-4700 Keele St, Toronto, ON M3J 1P3, Canada
| | - J Michael Paterson
- Institute for Clinical Evaluative Sciences, G1 06, 2075 Bayview Ave, Toronto, ON M4N 3M5, Canada
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Abstract
In recent years, the use of antipsychotics has been widely debated for reasons concerning their safety in elderly patients affected with dementia. To update the use of antipsychotics in elderly demented people, a MEDLINE search was conducted using the following terms: elderly, conventional and atypical antipsychotics, adverse events, dementia, and behavioral and psychotic symptoms in dementia (BPSD). Owing to the large amounts of studies on antipsychotics, we mostly restricted the field of research to the last 10 years. Conventional antipsychotics have been widely used for BPSD; some studies showed they have an efficacy superior to placebo only at high doses, but they are associated with several and severe adverse effects. Atypical antipsychotics showed an efficacy superior to placebo in randomized studies in BPSD treatment, with a better tolerability profile versus conventional drugs. However, in 2002, trials with risperidone and olanzapine in elderly patients affected with dementia-related psychoses suggested the possible increase in cerebrovascular adverse events. Drug regulatory agencies issued specific recommendations for underlining that treatment of BPSD with atypical antipsychotics is "off-label." Conventional antipsychotics showed the same likelihood to increase the risk of death in the elderly as atypical agents, and they should not replace the atypical agents discontinued by Food and Drug Administration warnings. Before prescribing an antipsychotic drug, the following are factors to be seriously considered: the presence of cardiovascular diseases, QTc interval on electrocardiogram, electrolytic imbalances, familiar history for torsades des pointes, concomitant treatments, and use of drugs able to lengthen QTc. Use of antipsychotics in dementia needs a careful case-by-case assessment, together with the possible drug-drug, drug-disease, and drug-food interactions.
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Abstract
The pharmacological choices for the treatment of schizophrenia have been greatly expanded with the availability of the atypical compounds clozapine (Clozaril, Novartis), risperidone (Risperdal, Janssen-Cilag), olanzapine (Zyprexa, Eli Lilly & Co.), quetiapine (Seroquel, AstraZeneca), ziprasidone (Geodon, Pfizer Inc.) and aripiprazole (Abilify, Otsuka Pharmaceutical Co. Ltd). In this article, the effects of the newer antipsychotics and their side effects are reviewed. Key issues in acute and maintenance treatment, often lifelong, will be reviewed. Side-effect management to ensure adherence to an optimal treatment regimen will be discussed. Coexisting syndromes must be treated in concordance with the patient's clinical presentation. For treatment-resistant patients, atypical compounds are generally more effective than their typical counterparts but medication augmentation strategies are frequently recommended. Finally, the results of recent meta-analyses comparing the effects of atypical versus typical compounds will be critically reviewed and remaining gaps in the current pharmacotherapy of schizophrenia will be explored.
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Affiliation(s)
- J P Lindenmayer
- Psychopharmacology Research Unit, Manhattan Psychiatric Center, Wards Island, NY 10035, USA.
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Hu S, Yao M, Peterson BS, Xu D, Hu J, Tang J, Fan B, Liao Z, Yuan T, Li Y, Yue W, Wei N, Zhou W, Huang M, Xu Y. A randomized, 12-week study of the effects of extended-release paliperidone (paliperidone ER) and olanzapine on metabolic profile, weight, insulin resistance, and β-cell function in schizophrenic patients. Psychopharmacology (Berl) 2013; 230:3-13. [PMID: 23559220 DOI: 10.1007/s00213-013-3073-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2013] [Accepted: 03/16/2013] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To compare matched paliperidone-ER- and olanzapine-treated schizophrenic patients on measures of glucose and lipid metabolism. METHODS Eighty hospitalized patients with schizophrenia (DSM-IV) were randomly assigned to treatment with paliperidone ER or olanzapine for a period of 12 weeks. At baseline and every 4 weeks, we assessed weight, subcutaneous fat, waist and hip circumferences, fasting glucose, insulin, glycohemoglobin A1, cholesterol, triglycerides, high density lipoprotein (HDL) cholesterol, low density lipoprotein (LDL) cholesterol, and prolactin. We also assessed at every time point body mass index (BMI), homeostasis insulin resistance (HOMA-IR), and homeostasis β-cell function (HOMA-B). RESULTS Thirty-three patients randomly assigned to paliperidone ER and 23 patients randomly assigned to olanzapine groups completed the entire 12-week treatment. Within-group analyses showed that fasting measures in both groups increased for weight, BMI, waist circumferences, hip circumference, subcutaneous fat, cholesterol, triglycerides, and prolactin. In contrast, fasting glucose, LDL, and HOMA-B increased during treatment only in the olanzapine group. We also detected significantly different serum prolactin levels at all time point between the paliperidone ER- and olanzapine-treated groups, as well as a statistical trend for HOMA-B to increase more in the olanzapine compared to paliperidone-ER group over the 12 weeks of the trial. We did not detect, however, differential drug effects over the 12 weeks of the trial on fasting measures of BMI, glucose, glycohemoglobin A1, insulin, HDL, LDL, cholesterol, triglyceride, or HOMA-IR. CONCLUSION This study reinforces the necessity of regularly monitoring metabolic parameters in patients with schizophrenia taking atypical antipsychotics, including paliperidone ER.
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Affiliation(s)
- Shaohua Hu
- Department of Mental Health, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
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Hsu JH, Chien IC, Lin CH, Chou YJ, Chou P. Increased Risk of Chronic Obstructive Pulmonary Disease in Patients with Schizophrenia: A Population-Based Study. PSYCHOSOMATICS 2013. [DOI: 10.1016/j.psym.2012.08.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Moisan J, Turgeon M, Desjardins O, Grégoire JP. Comparative safety of antipsychotics: another look at the risk of diabetes. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2013; 58:218-24. [PMID: 23547645 DOI: 10.1177/070674371305800407] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE The association between the use of antipsychotics and diabetes mellitus (DM) is still unclear, as depicted by several conflicting reports. Our study aims to assess the risk of DM in new users of antipsychotics. METHODS Our nested case-control study used the Quebec Health Insurance Board databases. People in the source cohort were DM-free and had initiated an antipsychotic treatment. Subjects were cohort members who initiated an antidiabetic or had a diagnosis of DM during their follow-up period. Three variables were used to assess antipsychotic exposure: the antipsychotic used (any typical, clozapine, olanzapine, quetiapine, risperidone, or more than 1 drug); the number of 30-day periods of use; and antipsychotic use at index date (current or past). A paired multivariate logistic regression model was used to calculate adjusted odds ratios. RESULTS Among the 88 467 people included in the cohort, 6109 subjects with DM were identified and were matched to 61 090 control subjects. New users of quetiapine were less likely to develop DM than new users of typical antipsychotics (OR, 0.89; 95% CI 0.81 to 0.99). The risk of DM was not statistically different across the atypical antipsychotics. A longer exposure to any antipsychotic (for each 30-day period, OR 1.009; 95% CI 1.006 to 1.011) and current use of antipsychotics (OR 1.26; 95% CI 1.17 to 1.36) were associated with DM. CONCLUSION These results suggest that metabolic parameters of people exposed to antipsychotics should be monitored, irrespective of the drug taken, among the drugs available at the time of analysis.
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Tournier M, Bégaud B, Cougnard A, Auleley GR, Deligne J, Blum-Boisgard C, Thiébaut ACM, Verdoux H. Influence of the drug exposure definition on the assessment of the antipsychotic metabolic impact in patients initially treated with mood-stabilizers. Br J Clin Pharmacol 2012; 74:189-96. [PMID: 22257309 DOI: 10.1111/j.1365-2125.2012.04184.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • Metabolic disturbances represent a well-known side effect of second generation antipsychotics. However, studies comparing second generation antipsychotic drugs (SGAPs) and first generation antipsychotic drugs (FGAPs) through administrative databases have shown contrasting findings, which may be attributable to methodological differences. WHAT THIS PAPER ADDS • The definition of antipsychotic exposure impacts on the association between antipsychotics and metabolic risk in studies carried out through administrative databases. • Considering cumulative exposure to antipsychotics or including patients exposed to an antipsychotic drug for months or years is likely to over-represent patients who tolerate the drug well with a depletion of susceptible effects. • Antipsychotic drug exposure is a time-varying determinant and episodes of no use, past use and current use should be distinguished over the study period to avoid any misclassification bias that might lead to misleading findings. AIMS To assess the influence of three definitions of antipsychotic exposure on the comparison between first generation (FGAP) and second generation (SGAP) antipsychotic drugs and 'conventional' mood stabilizers towards the risk of metabolic events using (i) a dichotomous measure (exposed/non-exposed over the follow-up), (ii) a categorical measure taking into account the chronology of exposure at the time of the metabolic event (current, recent and no use) and (iii) a continuous measure (cumulative duration). METHODS A historical fixed cohort was identified from the 2004-2006 claims database of the French health insurance programme for self-employed workers, including 3172 patients aged 18 years and over who used conventional mood stabilizers over a 3 month period. A metabolic event was defined as an incident dispensing of an anti-diabetic or lipid-lowering drug. RESULTS A metabolic event occurred in 367 patients (11.6%). At least one FGAP had been prescribed in 29% of patients who did not develop a metabolic event and in 22% of patients who developed a metabolic event. In addition, at least one SGAP had been prescribed in 12% of patients who did not develop a metabolic event and in 7% of patients who developed a metabolic event. Compared with conventional mood stabilizers, the risk of a metabolic event was negatively associated with exposure to SGAPs over the follow-up period (HR 0.53, 95% CI 0.34, 0.82, P= 0.004), positively associated with recent, but not current, exposure to SGAPs (HR 2.1, 95% CI 1.2, 3.7, P= 0.006) and not associated with cumulative duration of SGAPs (HR 1.001, 95% CI 0.999, 1.003, P= 0.20). CONCLUSIONS The definition of exposure to antipsychotics in epidemiological studies exploring their metabolic impact is of paramount importance in understanding this association. Different definitions can lead to opposite and seemingly nonsensical results. Not taking into account past exposure, in order to minimize the depletion of susceptible effects, may lead to absurd results.
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Roix JJ, DeCrescenzo GA, Cheung PH, Ciallella JR, Sulpice T, Saha S, Halse R. Effect of the antipsychotic agent amisulpride on glucose lowering and insulin secretion. Diabetes Obes Metab 2012; 14:329-34. [PMID: 22059694 DOI: 10.1111/j.1463-1326.2011.01529.x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
AIMS To investigate the effects of the second generation antipsychotic (R/S)-amisulpride, and the chirally purified enantiomers, on glucose homeostasis in diet-induced obese (DIO) mice. METHODS Normal and DIO mice were treated with pharmacologically relevant doses of amisulpride prior to oral glucose tolerance tests (OGTTs). Blood glucose, insulin, glucagon-like peptide-1, prolactin and amisulpride drug levels were determined. RESULTS Racemic amisulpride significantly reduced glucose excursions during OGTT in both normal and DIO mice. This potent effect was preserved with the 'off-isomer', R-amisulpride (ED(50) 1 mg/kg). Insulin secretion was significantly increased with R-amisulpride with only a minor increase in prolactin levels. CONCLUSIONS Amisulpride has antidiabetic actions in DIO mice resulting from increased insulin secretion. This provides some explanation for why amisulpride, unlike other atypical antipsychotics, is not diabetogenic in man. Furthermore, the observation that R-amisulpride is also antidiabetic and has minimal impact on prolactin levels presents the opportunity for development of this isomer as an antidiabetic agent.
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Affiliation(s)
- J J Roix
- BioMed Valley Discoveries Inc., 4520 Main Street, Kansas City, MO 64111, USA
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Ulcickas Yood M, DeLorenze GN, Quesenberry CP, Oliveria SA, Tsai AL, Kim E, Cziraky MJ, McQuade RD, Newcomer JW, L'Italien GJ. Association between second-generation antipsychotics and newly diagnosed treated diabetes mellitus: does the effect differ by dose? BMC Psychiatry 2011; 11:197. [PMID: 22171594 PMCID: PMC3264670 DOI: 10.1186/1471-244x-11-197] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2011] [Accepted: 12/15/2011] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND The benefits of some second-generation antipsychotics (SGAs) must be weighed against the increased risk for diabetes mellitus. This study examines whether the association between SGAs and diabetes differs by dose. METHODS Patients were ≥18 years of age from three US healthcare systems and exposed to an SGA for ≥45 days between November 1, 2002 and March 31, 2005. Patients had no evidence of diabetes before index date and no previous antipsychotic prescription filled within 3 months before index date.49,946 patients were exposed to SGAs during the study period. Person-time exposed to antipsychotic dose (categorized by tertiles for each drug) was calculated. Newly treated diabetes was identified using pharmacy data to determine patients exposed to anti-diabetic therapies. Adjusted hazard ratios for diabetes across dose tertiles of SGA were calculated using the lowest dose tertile as reference. RESULTS Olanzapine exhibited a dose-dependent relationship for risk for diabetes, with elevated and progressive risk across intermediate (diabetes rate per 100 person-years = 1.9; adjusted Hazard Ratio (HR), 1.7, 95% confidence interval (CI), 1.0-3.1) and top tertile doses (diabetes rate per 100 person-years = 2.7; adjusted HR, 2.5, 95% CI, 1.4-4.5). Quetiapine and risperidone exhibited elevated risk at top dose tertile with no evidence of increased risk at intermediate dose tertile. Unlike olanzapine, quetiapine, and risperidone, neither aripiprazole nor ziprasidone were associated with risk of diabetes at any dose tertile. CONCLUSIONS In this large multi-site epidemiologic study, within each drug-specific stratum, the risk of diabetes for persons exposed to olanzapine, risperidone, and quetiapine was dose-dependent and elevated at therapeutic doses. In contrast, in aripiprazole-specific and ziprasidone-specific stratum, these newer agents were not associated with an increased risk of diabetes and dose-dependent relationships were not apparent. Although, these estimates should be interpreted with caution as they are imprecise due to small numbers.
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Affiliation(s)
| | | | | | | | - Ai-Lin Tsai
- Division of Research, Kaiser Permanente, Oakland, CA, USA
| | - Edward Kim
- Health Economics and Outcomes Research, Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | | | - Robert D McQuade
- Otsuka Pharmaceutical Development and Commercialization Inc., Princeton, NJ, USA
| | - John W Newcomer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Gilbert J L'Italien
- Global Health Outcomes Research, Bristol-Myers Squibb, Plainsboro, NJ, USA,School of Medicine, Yale University, New Haven, CT, USA
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Ascher-Svanum H, Zhu B, Ernst FR, Faries DE, Jacobson JG, Doebbeling CC. The 3-year clinical and functional course of schizophrenia among individuals with and without diabetes at study entry. PRIMARY CARE COMPANION TO THE JOURNAL OF CLINICAL PSYCHIATRY 2011; 9:122-8. [PMID: 17607334 PMCID: PMC1896295 DOI: 10.4088/pcc.v09n0206] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2006] [Accepted: 06/17/2006] [Indexed: 10/20/2022]
Abstract
OBJECTIVE This prospective observational study compared the 3-year clinical and functional course of schizophrenia among individuals with and without diabetes at study entry. METHOD Data were drawn from a large, 3-year, multisite, prospective, naturalistic study of treatment for schizophrenia-related disorders. The study was conducted in the United States between July 1997 and September 2003 and represented treatment practices in diverse systems of care. Participants were diagnosed with schizophrenia or schizoaffective or schizophreniform disorders based on DSM-IV criteria. Clinical and functional outcomes were assessed at study enrollment and at 12-month intervals using standard psychiatric measures, medical records, and a validated patient-reported questionnaire. Diabetes status was determined by participant interview at enrollment. Statistical analyses used mixed models with repeated measures. RESULTS Of 594 participants queried about comorbid medical conditions at enrollment, 76 (12.8%) reported having diabetes. Other comor-bid conditions were reported by 79% of the diabetes group (N = 60) and 50% of the nondiabetes group (N = 259). Across the 3-year study, participants with diabetes differed significantly from participants without diabetes on 2 of 36 outcome measures: more contacts with nonpsychiatrist physicians (p < .001) and poorer physical health (p = .015). Groups did not differ significantly on mental health symptomatology, mental health resource utilization, legal and safety issues, substance use, productivity, activities and relationships, or quality of life. CONCLUSIONS In this 3-year, prospective, naturalistic study, the course of schizophrenia did not differ significantly between participants with and without diabetes, although persons with diabetes did have poorer physical health and more contacts with nonpsychiatrist physicians. Findings highlight the need for better medical treatment for people with schizophrenia, both with and without comorbid diabetes.
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Shirani A, Paradiso S, Dyken ME. The impact of atypical antipsychotic use on obstructive sleep apnea: a pilot study and literature review. Sleep Med 2011; 12:591-7. [PMID: 21645873 DOI: 10.1016/j.sleep.2010.12.013] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2010] [Revised: 11/12/2010] [Accepted: 12/01/2010] [Indexed: 10/18/2022]
Abstract
BACKGROUND Limited evidence links atypical antipsychotics (AAs) use to sleep related respiratory dysfunction and greater severity of obstructive sleep apnea (OSA). The present paper reviews the published evidence and examines the impact of AA use on the presence and severity of OSA among subjects with clinically suspected OSA after adjusting for several confounds. METHODS Archives of the University of Iowa Sleep Laboratory from 2005 to 2009 were searched for patients using AAs at the time of diagnostic polysomnogram (PSG). PSG data of the 84 AA users with heterogeneous psychiatric disorders (of these 20 diagnosed only with depression) were subsequently compared to PSG data of two randomly selected, non-AA user groups from the same patient pool: (i) 200 subjects with a depressive disorder as the only psychiatric diagnosis, and (ii) 331 mentally healthy controls. PSG data were analyzed adjusting for known demographic, medical, and psychiatric risk factors for OSA. RESULTS Prevalence and severity of OSA did not differ significantly across three groups. Sex, age, body mass index (BMI), and neck circumference (NC) independently predicted OSA. Odds ratio for OSA in the subset of AA users carrying the diagnosis of depression (n=20) compared with subjects without mental illness was 4.53 (p<.05). By contrast, AA users without depression or those with multiple psychiatric diagnoses including depression did not show a statistically significantly elevated OSA risk. CONCLUSIONS AA use in subjects with depression appears to increase the risk of OSA after controlling for known predisposing factors.
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Affiliation(s)
- Afshin Shirani
- Department of Psychiatry, Dartmouth Medical School, Hanover, NH, USA.
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Zhang R, Hao W, Pan M, Wang C, Zhang X, Chen DC, Xiu MH, Yang FD, Kosten TR, Zhang XY. The prevalence and clinical-demographic correlates of diabetes mellitus in chronic schizophrenic patients receiving clozapine. Hum Psychopharmacol 2011; 26:392-6. [PMID: 21826737 DOI: 10.1002/hup.1220] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2010] [Revised: 05/31/2011] [Accepted: 06/09/2011] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To examine the prevalence and correlates of diabetes in a large sample of Chinese patients with schizophrenia on long-term clozapine treatment, because this population previously has received little systematic study. METHODS Two hundred and six inpatients meeting Diagnostic and Statistical Manual of Mental Disorders, 4th Edition schizophrenia criteria were recruited in a cross-sectional naturalistic study, and compared with 615 healthy control subjects matched for age, sex, education, and body mass index (BMI). The patient's psychopathology was assessed using the Positive and Negative Syndrome Scale (PANSS). Diagnoses of diabetes were established through review of medical records and fasting blood glucose testing, or an oral glucose tolerance test. RESULTS Diabetes mellitus was more common in patients than in the normal controls (22.3% vs 6.2%) (odds ratio = 4.37, confidence interval (CI) 2.76-6.92, p < 0.001). The prevalence of diabetes increased with age across five age-groups as compared with normal controls (X(2) = 18.0, df = 4, p = 0.001). The PANSS total score and sub-scores showed no differences between the diabetic and non-diabetic groups. Logistic regression in the patients revealed significant associations between diabetes and a family history of diabetes (p < 0.001), age (p < 0.01), and BMI (p < 0.05). CONCLUSION Long-term clozapine treatment was associated with an increased and clinically important risk of diabetes mellitus in Chinese chronic schizophrenic patients, which is consistent with previous reports in Western populations.
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Affiliation(s)
- Ruiling Zhang
- 2nd Hospital affiliated to Xinxiang Medical University, Xinxiang City, Henan Province, China
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Hardy TA, Henry RR, Forrester TD, Kryzhanovskaya LA, Campbell GM, Marks DM, Mudaliar S. Impact of olanzapine or risperidone treatment on insulin sensitivity in schizophrenia or schizoaffective disorder. Diabetes Obes Metab 2011; 13:726-35. [PMID: 21435142 DOI: 10.1111/j.1463-1326.2011.01398.x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
AIM To assess changes in insulin sensitivity in non-diabetic adults with schizophrenia or schizoaffective disorder treated with olanzapine or risperidone. METHODS One hundred and thirty patients were randomly assigned to 12 weeks double-blind treatment with olanzapine or risperidone. Insulin sensitivity was measured using a two-step euglycaemic, hyperinsulinaemic clamp procedure. Whole-body adiposity was measured using dual-energy X-ray absorptiometry. The primary endpoint was the within-group change from baseline in insulin sensitivity normalized to fat-free mass (M(ffm) /I) during the clamp procedure's low-insulin phase, using an analysis of covariance model including the covariate weight change. RESULTS Forty-one olanzapine-treated and 33 risperidone-treated patients completed baseline and endpoint clamp measurements. Mean M(ffm) /I during the low-insulin phase declined 9.0% (p = 0.226) in olanzapine-treated patients and 13.2% (p = 0.047) in risperidone-treated patients (between-group difference p = 0.354). During the high-insulin phase, M(ffm) /I declined 10.4% (p = 0.036) in olanzapine-treated patients and 2.1% (p = 0.698) in risperidone-treated patients (between-group difference p = 0.664). Changes in M(ffm) /I correlated inversely with changes in body weight and adiposity, which were generally higher in olanzapine-treated patients. Significant within-group increases in fasting glucose, but not haemoglobin A1c (HbA1c), were observed during olanzapine treatment. The fasting glucose change was not correlated with M(ffm) /I changes. CONCLUSIONS Small, but statistically significant, decrements in insulin sensitivity were observed in olanzapine- and risperidone-treated patients at 1 of 2 insulin doses tested. Significant increases in fasting glucose and insulin and total fat mass were observed only in olanzapine-treated patients. Changes in insulin sensitivity correlated significantly with changes in weight or adiposity, but not with changes in glucose.
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Affiliation(s)
- T A Hardy
- Lilly Research Laboratories, Indianapolis, IN, USA.
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Jalbert JJ, Daiello LA, Eaton CB, Miller SC, Lapane KL. Antipsychotic Use and the Risk of Diabetes in Nursing Home Residents with Dementia. ACTA ACUST UNITED AC 2011; 9:153-63. [PMID: 21596626 DOI: 10.1016/j.amjopharm.2011.04.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/15/2011] [Indexed: 10/18/2022]
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Pharmacological modulation of dopamine receptor D2-mediated transmission alters the metabolic phenotype of diet induced obese and diet resistant C57Bl6 mice. EXPERIMENTAL DIABETES RESEARCH 2011; 2011:928523. [PMID: 21603181 PMCID: PMC3096057 DOI: 10.1155/2011/928523] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2010] [Accepted: 02/09/2011] [Indexed: 11/18/2022]
Abstract
High fat feeding induces a variety of obese and lean phenotypes in inbred rodents. Compared to Diet Resistant (DR) rodents, Diet Induced Obese (DIO) rodents are insulin resistant and have a reduced dopamine receptor D2 (DRD2) mediated tone. We hypothesized that this differing dopaminergic tone contributes to the distinct metabolic profiles of these animals.
C57Bl6 mice were classified as DIO or DR based on their weight gain during 10 weeks of high fat feeding. Subsequently DIO mice were treated with the DRD2 agonist bromocriptine and DR mice with the DRD2 antagonist haloperidol for 2 weeks.
Compared to DR mice, the bodyweight of DIO mice was higher and their insulin sensitivity decreased. Haloperidol treatment reduced the voluntary activity and energy expenditure of DR mice and induced insulin resistance in these mice. Conversely, bromocriptine treatment tended to reduce bodyweight and voluntary activity, and reinforce insulin action in DIO mice.
These results show that DRD2 activation partly redirects high fat diet induced metabolic anomalies in obesity-prone mice. Conversely, blocking DRD2 induces an adverse metabolic profile in mice that are inherently resistant to the deleterious effects of high fat food. This suggests that dopaminergic neurotransmission is involved in the control of metabolic phenotype.
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[Impact of the spanish consensus on physical health of patients with schizophrenia]. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2010; 3:119-27. [PMID: 23446034 DOI: 10.1016/j.rpsm.2010.11.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2010] [Revised: 11/03/2010] [Accepted: 11/03/2010] [Indexed: 11/22/2022]
Abstract
INTRODUCTION This study evaluates the physical health of patients with schizophrenia and analyzes the change in the percentage of patients with evaluations in the known diabetes and cardiovascular risk predictors before and 6 months after the dissemination of the "Consensus on Physical Health in Schizophrenia Patients". MATERIAL AND METHODS This is an epidemiological non-interventional and transversal study, in which 229 psychiatrists evaluated 1,193 clinical records of patients with a diagnose of schizophrenia according to ICD-10, attended in the psychiatry consultations planned in January and September of 2007. Study results were analyzed using descriptive statistics. RESULTS 1,193 evaluable patients were included, with a mean age of 39.7±11.6 years, diagnosed of schizophrenia 15.0±10.3 years ago, and a 65.90% were men. The presence of concomitant diseases was 39.98%, being hypercholesterolemia (46.33%), hypertriglyceridaemia (33.54%) and arterial hypertension (26.00%) the most frequent. After the dissemination of the Consensus, the percentage of patients who had all the physical measurements taken increased by 13.75%. Forty eight per cent of the psychiatrists were considered as being aware of the Consensus. The percentage of measurements taken was higher within the psychiatrists who were aware of the Consensus (17.32%) than within those who were not aware of it (10.33%). CONCLUSIONS The results of this study show an increase of the physical health control from patients with schizophrenia after the dissemination of the Consensus, which should improve an integral approach of these patients to ensure a similar life expectancy, quality of life and function to the general population.
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Lee JM, Davis MM, Gebremariam A, Kim C. Age and sex differences in hospitalizations associated with diabetes. J Womens Health (Larchmt) 2010; 19:2033-42. [PMID: 20937013 DOI: 10.1089/jwh.2010.2029] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
AIM To evaluate national trends in hospitalizations and hospital charges associated with diabetes over a recent 14-year period. METHODS We evaluated hospital discharges with a primary or secondary diagnosis of diabetes (250.xx)in the Nationwide Inpatient Sample (1993-2006). Outcomes included population-adjusted estimates of hospital discharges and hospital charges (2006 $U.S.). RESULTS Overall, discharges associated with diabetes increased 65.3% (1,384/100,000 in 1993, 2,288/100,000 in 2006) over the 14-year period (p < 0.001 test for trend). The largest increase in hospitalizations occurred among adults 30-39 years of age, representing a 102% increase. Among young adults, increases among women were ∼1.3 times greater compared with men, for the 20-29 year (63% vs. 46%) and 30-39 year (118% vs. 85%) age groups, even after excluding pregnancy-related hospitalizations. Overall, women had higher rates of hospitalizations associated with diabetes compared with men, but there was evidence of an age by sex interaction, with higher rates of hospitalizations among women in the younger age groups and among men in the older age groups. Annual inflation-adjusted total charges for hospitalizations with diabetes increased 220% over the period. CONCLUSIONS Large increases in diabetes hospitalizations occurring among adults aged 30-39 years and young women signal a shift in the hospital burden of diabetes.
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Affiliation(s)
- Joyce M Lee
- Pediatric Endocrinology, University of Michigan, Ann Arbor, Michigan, USA.
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Kessing LV, Thomsen AF, Mogensen UB, Andersen PK. Treatment with antipsychotics and the risk of diabetes in clinical practice. Br J Psychiatry 2010; 197:266-71. [PMID: 20884948 DOI: 10.1192/bjp.bp.109.076935] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BACKGROUND Treatment with antipsychotics seems to increase the risk of developing diabetes but the association is poorly characterised in clinical practice. AIMS To investigate and characterise the incidence of diabetes for people treated with antipsychotic medication in clinical practice. METHOD The study used the linkage of registers of all prescribed antipsychotics, antidiabetics and diagnoses of diabetes in Denmark during a period from 1996 to 2005 and identified all people treated with antipsychotics in Denmark and a random sample of about 30% of the total Danish population. RESULTS In total, 345,937 patients who purchased antipsychotics and 1,426,488 unexposed individuals were included in the study. Among the total population, 50,379 individuals subsequently developed incident diabetes. Compared with unexposed individuals, treatment with first- (rate ratio, RR = 1.53, 95% CI 1.49-1.56) as well as second-generation (RR = 1.32, 95% CI 1.22-1.42) antipsychotics was associated with increased risk of subsequent incident diabetes. The rate of incident diabetes varied substantially between individual second-generation antipsychotic drugs (olanzapine, risperidone clozapine compared with unexposed individuals: low to moderate rate ratio between 1.17 and 1.57; ziprasidone and sertindol: two or more times increased rate ratio; amisulpride, quetiapine and aripiprazole: no significantly increased rate ratio). For both first- and second-generation antipsychotics, the incidence of diabetes increased with the number of prescriptions. Additionally, the incidence of diabetes increased with the number of combined antipsychotic drugs. CONCLUSIONS In clinical practice, treatment with first- and second-generation antipsychotics is associated with an increased risk of developing incident diabetes with large differences between individual drugs. The risk increases with the duration of treatment and with polypharmacy of antipsychotic drugs.
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Affiliation(s)
- Lars Vedel Kessing
- Department of Psychiatry, University Hospital of Copenhagen, Rigshospitalet, Blegdamsvej 9, DK 2100 Copenhagen Ø, Denmark.
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Batscha C, Schneiderhan ME, Kataria Y, Rosen C, Marvin RW. Treatment Settings and Metabolic Monitoring for People Experiencing First-Episode Psychosis. J Psychosoc Nurs Ment Health Serv 2010; 48:44-9. [DOI: 10.3928/02793695-20100730-03] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2009] [Accepted: 05/27/2010] [Indexed: 11/20/2022]
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Abstract
Behavioral and psychotic symptoms are common problems in older adults, and as the population ages, understanding the benefits and risks of antipsychotic usage is increasingly important. In this age group, psychotic symptoms may occur in patients with dementia or as part of schizophrenia, mood disorders, delirium, or delusional disorder. Various antipsychotics have been studied in older adults with psychotic symptoms, demonstrating mixed, but real, benefit, especially in relation to carefully selected patients. Caution is required because of the potential side effects and risks, which include increased mortality and cardiovascular and cerebrovascular events. This article reviews the use of antipsychotics in older adults, with emphasis on the risks and side effects, particularly in dementia patients with behavioral and psychotic symptoms.
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Saiz-Ruiz J, Dolores Saiz-González M, Alegría AA, Mena E, Luque J, Bobes J. Impact of the Spanish Consensus on Physical Health of Patients with Schizophrenia. ACTA ACUST UNITED AC 2010. [DOI: 10.1016/s2173-5050(10)70021-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Yood MU, DeLorenze G, Quesenberry CP, Oliveria SA, Tsai AL, Willey VJ, McQuade R, Newcomer J, L'Italien G. The incidence of diabetes in atypical antipsychotic users differs according to agent--results from a multisite epidemiologic study. Pharmacoepidemiol Drug Saf 2009; 18:791-9. [PMID: 19526626 DOI: 10.1002/pds.1781] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
PURPOSE The purpose of this study was to examine the association between atypical antipsychotics, including the newer agents, aripiprazole and ziprasidone, and newly treated diabetes, using the largest post-marketing cohort of patients exposed to these newer treatments that has been studied to date. METHODS Identified two overlapping cohorts-a simple cohort (all antipsychotic users) and an inception cohort (new users of antipsychotics)-using automated data from three United States sites (60.4 million covered lives). Patients exposed to antipsychotics > or = 45 days were identified and followed for incident diagnoses of treated diabetes. Data analysis accounted for drug switching and non-consistent drug use. RESULTS In the 55 287-member inception cohort, 357 cases of newly treated diabetes were identified. Compared with current use of typical antipsychotics, current users of aripiprazole (adjusted hazard ratio (aHR) 0.93, 95% confidence interval (CI) 0.50-1.76), quetiapine (aHR 1.04, 95%CI, 0.67-1.62), risperidone (aHR 0.85, 95%CI, 0.54-1.36) and ziprasidone (aHR 1.05, 95%CI, 0.54-2.08) had similar low risk of diabetes. Patients exposed to olanzapine had an increased risk of diabetes (aHR 1.71, 95%CI, 1.12-2.61), and although the effect estimate is imprecise, clozapine-exposed patients had a trend towards an elevated hazard ratio (aHR 2.58, 95%CI, 0.76-8.80). Results for the simple cohort were similar. CONCLUSIONS Relative to typical antipsychotics, aripiprazole, ziprasidone, risperidone and quetiapine were not associated with an increased risk of diabetes; olanzapine and clozapine were associated with an increased risk. This analysis constitutes the largest post-marketing pharmacoepidemiologic study to date that includes the newer agents.
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Abstract
Recently, increasing attention has been drawn to the potential diabetogenic effect of novel antipsychotics. Until now, large prospective studies examining the relationship between atypical antipsychotics and impaired glucose metabolism have been lacking. However, the case reports and retrospective studies that we review here suggest an increased risk of developing diabetes mellitus (DM) in patients treated with atypical antipsychotics compared to schizophrenic patients treated with conventional antipsychotics or those without treatment. Although most atypical antipsychotic agents might have a diabetogenic potential, the risk of developing DM might be higher in patients treated with either clozapine or olanzapine than with risperidone, whereas data on quetiapine and ziprasidone is presently limited and needs further attention. Possible mechanisms include the induction of peripheral insulin resistance and the direct influence on pancreatic beta-cell function by 5-HT1A/2A/2C receptor antagonism, by inhibitory effects via alpha 2-adrenergic receptors or by toxic effects. On the other hand, atypical antipsychotics might not be an independent risk factor for the development of DM, but hasten the onset of DM in patients bearing other risk factors. It is suggested that schizophrenic patients should be monitored for the occurrence of glucose metabolism abnormalities before starting atypical antipsychotics, and at a 3-month interval at least during therapy.
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Affiliation(s)
- Peter Schwenkreis
- Department of Psychiatry and Psychotherapty, Ruhr-University of Bochum, Germany
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Atypical Antipsychotics and the Risk of Diabetes in an Elderly Population in Long-Term Care: A Retrospective Nursing Home Chart Review Study. J Am Med Dir Assoc 2009; 10:115-9. [DOI: 10.1016/j.jamda.2008.08.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2008] [Revised: 08/05/2008] [Accepted: 08/08/2008] [Indexed: 11/19/2022]
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Dagogo-Jack S. The role of antipsychotic agents in the development of diabetes mellitus. NATURE CLINICAL PRACTICE. ENDOCRINOLOGY & METABOLISM 2009; 5:22-23. [PMID: 18957954 DOI: 10.1038/ncpendmet1001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2008] [Accepted: 08/19/2008] [Indexed: 05/27/2023]
Affiliation(s)
- Samuel Dagogo-Jack
- Division of Endocrinology, Diabetes and Metabolism, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
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Baptista T, ElFakih Y, Uzcátegui E, Sandia I, Tálamo E, Araujo de Baptista E, Beaulieu S. Pharmacological management of atypical antipsychotic-induced weight gain. CNS Drugs 2008; 22:477-95. [PMID: 18484791 DOI: 10.2165/00023210-200822060-00003] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Excessive bodyweight gain was reported during the 1950s as an adverse effect of typical antipsychotic drug treatment, but the magnitude of bodyweight gain was found to be higher with the atypical antipsychotic drugs that were introduced after 1990. Clozapine and olanzapine produce the greatest bodyweight gain, ziprasidone and aripiprazole have a neutral influence, and quetiapine and risperidone cause an intermediate effect. In the CATIE study, the percentage of patients with bodyweight gain of >7% compared with baseline differed significantly between the antipsychotic drugs, i.e. 30%, 16%, 14%, 12% and 7% for olanzapine, quetiapine, risperidone, perphenazine (a typical antipsychotic) and ziprasidone, respectively (p<0.001). Appetite stimulation is probably a key cause of bodyweight gain, but genetic polymorphisms modify the bodyweight response during treatment with atypical antipsychotics. In addition to nutritional advice, programmed physical activity, cognitive-behavioural training and atypical antipsychotic switching, pharmacological adjunctive treatments have been assessed to counteract excessive bodyweight gain. In some clinical trials, nizatidine, amantadine, reboxetine, topiramate, sibutramine and metformin proved effective in preventing or reversing atypical antipsychotic-induced bodyweight gain; however, the results are inconclusive since few randomized, placebo-controlled clinical trials have been conducted. Indeed, most studies were short-term trials without adequate statistical power and, in the case of metformin, nizatidine and sibutramine, the results are contradictory. The tolerability profile of these agents is adequate. More studies are needed before formal recommendations on the use of these drugs can be made. Meanwhile, clinicians are advised to use any of these adjunctive treatments according to their individual pharmacological and tolerability profiles, and the patient's personal and family history of bodyweight gain and metabolic dysfunction.
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Affiliation(s)
- Trino Baptista
- Department of Physiology, Los Andes University Medical School, Mérida, Venezuela.
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[Glucoregulation in normal weight schizophrenia patients treated by first generation antipsychotics]. SRP ARK CELOK LEK 2008; 136:110-5. [PMID: 18720742 DOI: 10.2298/sarh0804110m] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
INTRODUCTION Schizophrenia patients are at greater risk of obesity, diabetes mellitus (DM), lipid abnormalities and cardiovascular disorders. The metabolic complications in patients are associated with several risk factors: family history of DM, lifestyle, smoking, dietary habits, physical inactivity, but also with antipsychotic medication. In literature, most publications have been focused on the effects of the second generation antipsychotics (SGA) on glucose metabolism. However, less attention has been paid to abnormality in glucoregulation, patients with schizophrenia treated with the first generation antipsychotics (FGA). OBJECTIVE The present study evaluated glucose metabolism in normal weight schizophrenia patients treated with FGA. METHOD The cross-sectional study included 18 patients (FGA treated) and 20 healthy controls with neither group differences in sex distribution, age, nor in BMI. Inclusion criteria were normal BMI (20-25 kg/m2). The glucose levels, insulin levels and growth hormone levels during oral glucose tolerance test (OGTT) were measured. RESULTS Fasting glucose and insulin levels did not differ significantly between groups. Groups differed in OGTT glucose and insulin peak and area under curve (AUC), level of significance p < 0.05 (patients vs. controls: glucose peak 8.3 +/- 0.4 vs. 6.9 +/- 0.5 mmol/l, glucose AUC 758 +/- 28 vs. 640 +/- 36 mU/l/120 min; insulin peak in patients 92.7 +/- 15.6 mU/l; insulin AUC 6060 +/- 1016 mU/l/120 min, insulin peak in controls 47.9 +/- 6.5 mU/l; insulin AUC 2597 +/- 256 mU/l/120 min). CONCLUSION Patients with schizophrenia, although with normal body mass index, are at high risk of abnormal glucose regulation. Not only SGA increase the risk of impaired glucoregulation and metabolic syndrome, but this may also be due to FGA or schizophrenia per se.
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