Using longitudinal prescription data to examine the incidence of other chronic diseases following antidepressant use

Teng, Ashton; Taylor, Zachary; Pfeffer, Jeffrey; Williams, Leanne M.

doi:10.1016/j.jpsychires.2020.02.030

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…Several clinical adverse effects should be addressed following this growing issue to avoid patients unnecessarily subjecting themselves to the pharmaceutical risks. Firstly, it has been noted within a longitudinal analysis study that antidepressant use increases the hazard rate for drugs used for cardiovascular disease (1.59 fold), diabetes (1.30) and cancer (1.50) [27]. Older studies have suggested serious potential risks, antidepressants users were reported to have a 14% higher risk of heart attacks and strokes.…”

Section: Discussionmentioning

confidence: 99%

Antidepressant medication prescribing patterns in Irish general practice from 2016 to 2020 to assess for long-term use

et al. 2021

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Section: Discussionmentioning

confidence: 99%

Antidepressant medication prescribing patterns in Irish general practice from 2016 to 2020 to assess for long-term use

et al. 2021

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“…Furthermore, if sertraline is administered to patients with severe kidney disease, twice lower or less frequent dosing should be used, and tactics such as slow drug titration and careful monitoring of serum creatinine concentration are incorporated into clinical practice. Additionally, given the recent longitudinal-and metaanalysis studies showing that selective serotonin reuptake inhibitors in the long term may exert harmful effects on health [26,27], greater caution for adequate sertraline dosing is suggested.…”

Section: Discussionmentioning

confidence: 99%

Population Pharmacokinetic Modeling to Inform Sertraline Dosing Optimization in Patients with Depression

Stoiljković¹,

Nikolić²,

Ilić³

et al. 2023

Pharmacology

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Sertraline is one of the most prescribed antidepressants, but its pharmacokinetic (PK) properties are still not completely characterized. Using nonlinear mixed-effects modeling, we examined factors influencing sertraline PK variability in outpatients with major depressive disorder. Blood samples from 53 male and female adults treated with sertraline orally were collected at a steady state. Various demographic and clinical covariates were tested by stepwise regression procedure. We found that sertraline clearance is significantly influenced by serum concentrations of its main metabolite N-desmethylsertraline, whereas clearance of N-desmethylsertraline is affected by both creatinine clearance and drug daily dose. These results were confirmed by the reduction of points dispersion in goodness-of-fit plots for their predicted versus measured concentrations and with bootstrapping analyses. This finding can serve to inform sertraline dosing optimization, especially when changes in kidney function occur in treated individuals, to prevent adverse drug reactions and maximize therapeutic benefits.

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Antidepressants use and the risk of type 2 diabetes mellitus: A systematic review and meta-analysis

Wang

Liu

et al. 2021

Journal of Affective Disorders

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Using longitudinal prescription data to examine the incidence of other chronic diseases following antidepressant use

Cited by 3 publications

References 10 publications

Antidepressant medication prescribing patterns in Irish general practice from 2016 to 2020 to assess for long-term use

Antidepressant medication prescribing patterns in Irish general practice from 2016 to 2020 to assess for long-term use

Population Pharmacokinetic Modeling to Inform Sertraline Dosing Optimization in Patients with Depression

Antidepressants use and the risk of type 2 diabetes mellitus: A systematic review and meta-analysis

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