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Psychopharmacology Algorithms for Major Depressive Disorder: Current Status.
Sanches, Marsal; Quevedo, João; Soares, Jair C.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-33834411
ABSTRACT
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 Banco de datos: MEDLINE Asunto principal: Psicofarmacología / Trastorno Depresivo Mayor Límite: Humans Idioma: En Revista: Adv Exp Med Biol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Psicofarmacología / Trastorno Depresivo Mayor Límite: Humans Idioma: En Revista: Adv Exp Med Biol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos