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2023, Number 4

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Arch Neurocien 2023; 28 (4)

Prevalence of treatment resistant depression: TRAL study sub analysis in a Mexican sample

Vázquez-Hernández JL, Alviso-de la Serna LD, Cruz C, Becerra-Palars C, Ibarreche-Beltrán J, Kanevsky G, Cabrera P
Full text How to cite this article

Language: English
References: 25
Page: 22-28
PDF size: 204.94 Kb.


Key words:

Mexico, epidemiology, treatment-resistant depressive disorder, major depressive disorder.

ABSTRACT

Introduction: Epidemiology and burden of disease for psychiatric disorders in Latin America (LatAm) is often limited, particularly for conditions like treatment-resistant depression (TRD), which is a burdensome condition within a significant proportion of major depressive disorder (MDD) patients. The treatment resistant depression in America Latina (TRAL) study aimed to investigate the epidemiology and burden of TRD in MDD patients. This paper focuses on characterizing TRD in the Mexican subset using TRAL study data. Methods: The study included 697 adult patients clinically diagnosed with MDD from 14 sites in Mexico. Patients with relevant psychiatric comorbidities or those enrolled in a clinical trial were excluded. Outcomes primarily relied on patient-reported data and assessment scales. Results: TRD prevalence in Mexico was found to be 20.7%. Current suicidality was high in TRD patients (20.8%), as was the incidence of suicide behavior disorder (12.5%). Selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) were the most commonly prescribed medications. EQ-5D, SDS and WPAI results indicated significant limitations for TRD patients in their everyday life. Discussion: These findings align with available literature on treatment approaches and the prevalence of suicidality and suicide behavior disorder. The high prevalence of TRD among MDD patients poses a management challenge. Conclusions: The burden of TRD in Mexico is significant, although less severe than in other LatAm countries. Public health policies should focus on improving diagnosis and availability to more effective therapies.


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Arch Neurocien. 2023;28