Citalopram for the Prevention of Depression and Its Consequences in HIV-Hepatitis C Coinfected Individuals Initiating Pegylated Interferon/Ribavirin Therapy: A Multicenter Randomized Double-Blind Placebo-Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Depression related to interferon-alpha (IFN-α) is common, may reduce adherence, and can be treatment limiting. HIV-HCV coinfected persons experience lower sustained virologic response rates and commonly have psychiatric comorbidities, thus they may benefit from prevention of depression. OBJECTIVE: The aim of the study was to determine whether prophylactic citalopram can increase HCV treatment adherence and reduce the incidence of moderate depression in HIV-HCV coinfected patients initiating PEG-IFN-α/ribavirin therapy. METHODS: This was an investigator-initiated Canadian multicenter randomized, double-blind placebo-controlled trial. HIV-HCV coinfected patients were randomized in a 1:1 ratio to receive citalopram or placebo 3 weeks prior to starting PEG-IFN-α2b/ribavirin, stratified by study center and HCV genotype. The protocol design permitted the comparison of prophylaxis with the treatment of emergent depression. The primary outcomes were adherence (assessed through questionnaire and returned medication) and time to moderate depression measured by Beck Depression Inventory-II (BDI- II) score greater than 15, confirmed 2 weeks apart. RESULTS: Seventy-six patients (36 citalopram/40 placebo) were randomized. Overall adherence was high, ranging from 95% (week 12) to 91% (week 48). There was no difference between arms with respect to mean or median adherence at any study time point. Cumulative incidence of moderate depression did not differ significantly by group (log rank P = .32). The hazard ratio for moderate depression was 0.81 (95% CI, 0.26 to 2.54) for citalopram compared with placebo when adjusted for baseline BDI-II score. CONCLUSIONS: A strategy of prophylactic citalopram compared to treatment of emergent depression was not associated with higher adherence or a reduction in treatment-limiting depression nor did it significantly reduce depressive symptoms among HIV-HCV coinfected persons during treatment for HCV.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".