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Atypical neuroleptics and glucose metabolism: A study project

Published online by Cambridge University Press:  16 April 2020

P. Zeppegno
Affiliation:
Department of Clinical and Experimental Medicine, Institute of Psychiatry, University of Eastern Piedmont
G.P. Carnevale Schianca
Affiliation:
Department of Clinical and Experimental Medicine, Internal Medicine, University of Eastern Piedmont ‘Amedeo Avogadro’, Novara, Italy
P.L. Prosperini
Affiliation:
Department of Clinical and Experimental Medicine, Institute of Psychiatry, University of Eastern Piedmont
M. Porro
Affiliation:
Department of Clinical and Experimental Medicine, Institute of Psychiatry, University of Eastern Piedmont
A. Feggi
Affiliation:
Department of Clinical and Experimental Medicine, Institute of Psychiatry, University of Eastern Piedmont
E. Bartoli
Affiliation:
Department of Clinical and Experimental Medicine, Internal Medicine, University of Eastern Piedmont ‘Amedeo Avogadro’, Novara, Italy
E. Torre
Affiliation:
Department of Clinical and Experimental Medicine, Institute of Psychiatry, University of Eastern Piedmont

Abstract

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Introduction

Metabolic syndrome and cardiovascular diseases are important causes of morbidity and mortality among patients with mental illness. Atypical antipsychotics are more associated with obesity, metabolic syndrome, abnormal glucose and lipid metabolism than first generation antipsychotics.

Objectives

To identify risk factors related to glucose metabolism in short, medium and long time treatment and find out which are related to neuroleptic therapy and which depends on genetic background and lifestyle. To follow up clinical and self-rated variations of the psychiatric symptoms.

Methods

We included psychotic or bipolar patients in treatment with only one typical (haloperidol) or atypical (clozapine, olanzapine, risperidon, aripiprazole, paliperidon) neuroleptic, drug-naïve or after a wash-out from previous therapy. Patients will be evaluated five times (at baseline and after 1, 3, 6, 12 months) with a blood sample (haemocrome, glucose, insulin, Hb A1C, thyroid hormones, liver and pancreatic function), BMI, Basal Metabolic Rate (BMR), OGTT, HOMA index, familiar and pharmacological history, SIDE and CGI.

Results

From blood exams and OGTT we will obtain data regarding variations of glucose metabolism and the possible relationship with neuroleptic medications. From SIDE questionnaire we will assess the impact of side-effects by the patient's perspective and with CGI the variations of symptom severity.

Conclusions

Our study will allow us to identify risk factors concerning glucose metabolism alterations related to antipsychotic medications.

Type
P03-129
Copyright
Copyright © European Psychiatric Association 2011
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