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Enregistrement W97829983 · doi:10.1139/jpn.0648

Metabolic syndrome: relevance to antidepressant treatment

2006· article· en· W97829983 sur OpenAlexaffvenueabout
Pratap Chokka, Manuel E. Tancer, Vikram K. Yeragani

Notice bibliographique

RevueJournal of Psychiatry and Neuroscience · 2006
Typearticle
Langueen
DomaineMedicine
ThématiqueDiet and metabolism studies
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésInsulin resistanceMedicineMetabolic syndromeDiabetes mellitusInternal medicineDyslipidemiaHyperinsulinemiaObesityType 2 diabetesPopulationAntidepressantEndocrinology

Résumé

récupéré en direct d'OpenAlex

Antidepressant medications are often associated with weight gain and metabolic abnormalities in vulnerable patients. It is well known that obesity, insulin resistance and diabetes are associated with a large number of deaths all over the world. Patients with such psychiatric disorders as depression, anxiety and psychosis are at higher risk for cardiac mortality compared with the general population. This is compounded by the fact that many psychiatric drugs, such as antidepressants and antipsychotics, are associated with weight gain. Some drugs, such as tricyclic antidepressants, can cause insulin resistance and can increase serum lipids independent of their affect on weight. The original description of metabolic syndrome (MBS) comprised obesity, insulin resistance, hypertension, impaired glucose tolerance or diabetes, hyperinsulinemia and dyslipidemia, characterized by elevated triglycerides and low high-density lipoprotein (HDL) concentrations. All of the above are risk factors for atherosclerosis and thus pose a significant risk for coronary heart disease. Obesity/overweight and insulin resistance also present a significant risk for developing type-II diabetes. The risks for coronary heart disease and diabetes with metabolic syndrome are greater than those for simple obesity alone; thus an understanding of the pathogenesis of heart disease and diabetes and a rational approach to their therapy are of prime importance. There is a substantial amount of literature linking weight gain to the subsequent development of MBS related to psychotropic medication. Treatment with tricyclic antidepressants (TCAs), amitriptyline and doxepin can cause a substantial increase in weight—one of the main factors leading to treatment noncompliance, as shown in several previous studies. The newer antidepressant drugs, such as serotonin reuptake inhibitors, can lead to a small decrease in weight in the short-term and an increase during long-term treatment in some of these patients. Several factors need to be considered in this context. In some patients, depression itself is associated with weight gain. This is compounded by treatment side effects, which may include a decrease in basal metabolic rate in addition to an increase in appetite and carbohydrate craving. An increase in weight is associated with type-II diabetes and possible insulin resistance. Depression is reportedly associated with hypertension and atherosclerotic changes in some patients. Depression can also be associated with other comorbid disorders, such as anxiety, which may make these patients even more vulnerable to cardiac mortality. Recent literature has shown that some of the noninvasive measures, such as beat-beat heart rate and QT-interval variability on the surface electrocardiogram (ECG) provide valuable noninvasive measures to assess cardiac autonomic function. These measures are also useful in assessing prognosis in patients with cardiac illness and concomitant affective disorders. A decrease in vagal function and a relative increase in sympathetic function can be associated with the development of atherosclerosis and hypertension. In this regard, it is important to note that TCAs can be more cardiotoxic, and some of the serotonin reuptake inhibitors can have a neutral or a positive effect. For example, sertraline and paroxetine appear to be less toxic than TCAs. In addition to choosing an appropriate antidepressant, the clinician has to check the lipid profiles and blood glucose of these patients on a regular basis and, most importantly, use an appropriate antihypertensive medication in patients who need such treatment. This includes careful consideration of angiotensin converting enzyme (ACE) inhibitors, such as enalapril and lisinopril and their protective effect on type-II diabetes in some patients. Most importantly, regular physical exercise, which has several positive effects on weight gain, serum cholesterol levels, blood pressure and type-II diabetes, needs to be emphasized as a component of treatment. It will also be valuable to study the effects of the newer antidepressant drugs on cardiac autonomic function and also to understand the pharmacology of the antihypertensive drugs, which improve cardiovascular function in general. Pratap Chokka, MD Department of Psychiatry, University of Alberta, Edmonton, Alta. Manuel Tancer, MD Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, Mich. Vikram K. Yeragani, MD Department of Psychiatry, University of Alberta, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Department of Cardiology, M. S. Ramaiah Memorial Hospital, Bangalore, India

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,168
Score d'incertitude au seuil0,288

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,286
Écart entre enseignants0,269 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations34
Publié2006
Routes d'admission3
Résumé présentoui

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