Hypertension and orthostatic hypotension with venlafaxine treatment in depressed older adults
Bibliographic record
Abstract
BACKGROUND: Venlafaxine, a serotonin-norepinephrine reuptake inhibitor, is often used as first- or second-line therapy for depression in older adults. It can be associated with adverse blood pressure (BP) effects. METHODS: Adults ⩾60 years of age in a current major depressive episode were treated in a protocolized manner with venlafaxine XR; 429 participants were treated for 8-16 weeks with a daily dose up to 300 mg to achieve remission from depression. Cardiac measures included sitting and standing BP and heart rate. RESULTS: Of participants who were normotensive at baseline, 6.5% were found to have elevated BP during the study (1.9% <225 mg/day; 9.8% ⩾225 mg/day). There was no significant change in mean BP in the overall sample, or in the subgroup treated with doses ⩾225 mg/day. Additionally, 20.1% of the participants who did not have orthostatic hypotension at baseline were found to have orthostatic hypotension (16.8% <225 mg/day; 22.4% ⩾225 mg/day). Participants with new-onset orthostatic hypotension were significantly more likely to fall than the other participants. CONCLUSION: A large proportion of older adults treated with venlafaxine experience orthostatic hypotension, putting them at risk for falls. A smaller proportion experience elevated BP. Older patients prescribed venlafaxine, particularly at high doses, should be advised and counseled about these adverse effects.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".