We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A systematic meta-review of predictors of adverse effect development in response to antidepressant medications.
- Authors
Snook, Emily; Perlman, Kelly; Brown, Eleanor H.; Langlois-Therien, Timothé; Benrimoh, David; Tanguay-Sela, Myriam; Rollins, Colleen; You, Eunice; Berlim, Marcelo T.
- Abstract
The pharmacological antidepressant (AD) treatments currently available to treat major depressive disorder (MDD) are associated with numerous adverse events (AEs), including gastrointestinal disturbances, sexual dysfunction, and sleep difficulties. Intolerance of the AEs caused by ADs is cited as a main reason for treatment discontinuation, hindering the recovery process. Therefore, the ability to predict the profile of AEs that an individual patient is likely to experience would hold great clinical value. Here, we review the extant research identifying biological, clinical, and sociodemographic features that are predictive of the incidence and severity of AD-induced AEs. We searched Embase and MEDLINE electronic databases for relevant reviews of all types that discuss predictors of AEs of antidepressant treatment published through March 2018, using a combination of relevant search terms. This protocol, filtered through our inclusion and exclusion criteria, resulted in the inclusion of 29 reviews. Several genetic factors involved in convergent biological processes, including the serotonergic, glutamatergic, and noradrenergic systems, were identified as predictive factors of AE incidence and severity. Non-genetic factors such as age, sex, and pre-existing medical comorbidities were also shown to have predictive value in this context. We could not conclusively determine the directionality of each finding or assign formal levels of evidence; rather, we focused on the emerging patterns of predictive factors. In summary, we systematically curated factors predictive of AD-induced AEs and discussed biological mechanisms that may underlie their predictive value. Additionally, we highlighted the paucity of predictive biomarkers beyond genetics, and emphasized the import of differential prediction.
- Subjects
DRUG side effects; ANTIDEPRESSANTS; GLUTAMIC acid; FEMALE reproductive organ diseases; SEXUAL dysfunction; MEDICAL information storage &; retrieval systems; SYSTEMATIC reviews; CONVALESCENCE; NORADRENALINE; AGE distribution; GASTROINTESTINAL diseases; DISEASE incidence; CELL receptors; SEROTONIN; SLEEP disorders; SEVERITY of illness index; SEX distribution; MENTAL depression; TERMINATION of treatment; MEDLINE; MALE reproductive organ diseases; COMORBIDITY; DISEASE risk factors
- Publication
University of Toronto Medical Journal, 2021, Vol 98, Issue 2, p69
- ISSN
0833-2207
- Publication type
Article