MétaCan
Menu
Retour à la cohorte
Enregistrement W1760915055 · doi:10.1176/appi.pn.2015.9a20

Adolescent Depression, Bipolar Disorder Cited as Risk Factors for CVD

2015· article· en· W1760915055 sur OpenAlexaboutno aff
Nick Zagorski

Notice bibliographique

RevuePsychiatric News · 2015
Typearticle
Langueen
DomaineHealth Professions
ThématiqueAdolescent and Pediatric Healthcare
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBipolar disorderDepression (economics)MedicinePsychiatryDiseaseRisk factorInternal medicineMood

Résumé

récupéré en direct d'OpenAlex

Back to table of contents Previous article Next article Professional NewsFull AccessAdolescent Depression, Bipolar Disorder Cited as Risk Factors for CVDNick ZagorskiNick ZagorskiPublished Online:28 Aug 2015https://doi.org/10.1176/appi.pn.2015.9a20AbstractAn expert panel says that MDD and BD in teens are independent tier II risk factors that provide a moderate risk of accelerated atherosclerosis and early-onset heart disease.The American Heart Association (AHA) has issued a statement supporting the inclusion of adolescent major depressive disorder (MDD) and bipolar disorder (BD) as independent risk factors for accelerated atherosclerosis and early-onset cardiovascular disease (CVD).Specifically, the AHA recommends that MDD and BD now be classified alongside Kawasaki disease with regressed coronary aneurysms, chronic inflammatory disease, HIV infection, and nephrotic syndrome as tier II conditions that confer a moderate risk of disease."This represents a significant step in how we associate mental health and cardiovascular health," said Benjamin Goldstein, M.D., Ph.D., a child and adolescent psychiatrist at the University of Toronto and chair of the AHA committee that developed this statement.Up to now, physicians had appreciated that people with depression or bipolar disorder have higher rates of traditional cardiovascular risk factors like smoking, obesity, or diabetes, which leads to more incidence of heart disease. After reviewing a multitude of available evidence, the AHA committee found that behavioral changes brought on by these psychiatric illnesses or adverse effects resulting from psychiatric medication did not fully explain this increased disease risk. The exact biological mechanism by which MDD and BD exert their influence is unclear, though evidence is suggestive that they induce blood vessel damage through inflammation and/or oxidative stress."With this new statement, we want to raise awareness that even in the absence of any other risk factors, an adolescent diagnosis of depression or bipolar disorder will moderately raise the risk of cardiovascular problems in adulthood," Goldstein told Psychiatric News.Unlike the other four tier II conditions, MDD and BD are not uncommon in adolescents, affecting around 1 in 10 teens. And even that prevalence is likely somewhat underestimated, said Peter Shapiro, M.D., a professor of psychiatry at Columbia University Medical Center and member of APA's Council on Psychosomatic Medicine."This statement shows that there is a large group of patients that deserve extra attention from pediatricians and cardiologists," he said. "Psychiatrists can do their part by engaging other clinicians about the cardiovascular importance of mental health, while also identifying and treating mood disorders as soon as possible."Thus far, there are no studies that demonstrate that treating mood disorders in adolescents can reduce the risk of ischemic heart disease. Early identification and treatment of these disorders in adolescents will allow researchers to examine this question. Based on the available evidence, psychiatrists do not need to make any significant changes to the treatment paradigms for teens presenting with BD and MDD, though Goldstein believes additional metabolic monitoring of patients taking medication for these disorders is warranted."The reality is that the best pharmacological treatments we have for mood disorders do pose a risk of weight gain, so we need to be cognizant of that as we guide our treatment," he said.Goldstein hopes the incorporation of MDD and BD as independent risk factors for CVD will spur more integration of mental health outcome measures in heart disease clinical studies and vice versa; such inclusion may help identify the nature of the mind-heart relationship, and perhaps identify treatment regimens that optimize mood and CVD benefits. ■"Major Depressive Disorder and Bipolar Disorder Predispose Youth to Accelerated Atherosclerosis and Early Cardiovascular Disease" can be accessed here. ISSUES NewArchived

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,157
Score d'incertitude au seuil0,524

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,1570,031

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 Opus0,081
Tête enseignante GPT0,417
Écart entre enseignants0,336 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePsychiatric NewsMême sujetAdolescent and Pediatric HealthcareTravaux en français237 207