Dian-Jeng Li , Shih-Jen Tsai , Tzeng-Ji Chen , Yu-Chen Kao , Chih-Sung Liang , Mu-Hong Chen
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引用次数: 0
Abstract
Background
Treatment resistance to antidepressants can impose a significant burden on patients with major depressive disorder (MDD). This study aimed to evaluate the effects of age, sex, and psychiatric and physical comorbidities on the tendency toward treatment resistance to antidepressants (TRT).
Methods
We utilized data from the Taiwan National Health Insurance Research Database. Patients diagnosed with MDD were included in the study. Physical comorbidities were assessed using the Charlson Comorbidity Index. TRT was defined as receiving antidepressant treatment at an adequate defined daily dose, followed by a subsequent switch to another antidepressant within one year after the initial diagnosis of depression. Logistic regression was used to estimate the odds ratios (ORs) of various potential factors associated with TRT.
Results
A total of 325,615 patients with MDD were included in the study. After adjusting for key confounders, patients aged 20 to 29 years had the highest OR (1.60; 95 % confidence interval [CI]: 1.50–1.70) for TRT compared to the oldest age group (≥80 years). The ORs gradually decreased with increasing age. Males had a significantly lower OR (0.89; 95 % CI: 0.88–0.91) for TRT than females. TRT was also associated with the presence of physical and psychiatric comorbidities, except for autism spectrum disorder (ASD).
Limitations
As a naturalistic observational study, our findings are subject to potential confounding factors that cannot be fully controlled for, as would be possible in a formal randomized controlled trial.
Conclusions
Our study highlights the impact of age and sex on TRT. Clinicians should consider these risk factors when managing patients with MDD.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.