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Psychopharmacology Algorithms for Major Depressive Disorder: Current Status.
Sanches, Marsal; Quevedo, João; Soares, Jair C.
Afiliação
  • Sanches M; UT Health Center of Excellence on Mood Disorders, Faillace Department of Psychiatry & Behavioral Sciences, McGovern Medical School, Houston, TX, USA. Marsal.Sanches@uth.tmc.edu.
  • Quevedo J; UT Health Center of Excellence on Mood Disorders, Faillace Department of Psychiatry & Behavioral Sciences, McGovern Medical School, Houston, TX, USA.
  • Soares JC; Translational Psychiatry Program, Faillace Department of Psychiatry & Behavioral Sciences, McGovern Medical School, Houston, TX, USA.
Adv Exp Med Biol ; 1305: 429-445, 2021.
Article em En | MEDLINE | ID: mdl-33834411
Major depressive disorder (MDD) is one of the leading causes of disability worldwide, and a considerable portion of depressed patients does not respond well to available treatment strategies. Algorithm-based treatment may contribute to improving the MDD outcomes and have the potential to homogenize the pharmacological treatment of MDD patients, facilitating outcome research and cost-effectiveness analysis. This chapter provides a critical review of the available literature on the use of treatment algorithms for the management of MDD. The main available algorithms, their effectiveness, and challenges and limitations associated with their development are discussed. Finally, we provide a discussion of the future direction of algorithm-based treatments for MDD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicofarmacologia / Transtorno Depressivo Maior Limite: Humans Idioma: En Revista: Adv Exp Med Biol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicofarmacologia / Transtorno Depressivo Maior Limite: Humans Idioma: En Revista: Adv Exp Med Biol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos