Abstract P375: Association Between Use of Alpha-Blockers and Hypotension and Hypotension-Related Clinical Events in Patients With Hypertension
Bibliographic record
Abstract
Importance: Alpha- blockers (AB) are commonly prescribed agents in the treatment of hypertension. Little is known regarding the risk of hypotension and hypotension-related clinical outcomes in patients with advanced age with ongoing treatment for hypertension. Objective: To assess the risk of hypotension and hypotension-related adverse events (syncope, falls, fractures), major adverse cardiac events and all-cause mortality with AB use compared to other anti-hypertensives. Methods: Population-based, retrospective cohort study of 933,033 eligible adults of advanced age (> 66 years) prescribed an anti-hypertensive medication between 1995 and 2015 in Ontario, Canada. A high dimensional propensity score was used to match AB prescription to other anti-hypertensives. AB exposure was modeled as a time-varying and cumulative covariate using extended, conditional Cox proportional hazards to examine the association with outcomes. Primary outcome was hospitalization or emergency room usage for hypotension and related complications (syncope, fractures, falls). Secondary outcomes included major adverse cardiovascular events and all-cause mortality. Results: Among 69,092 matched patients prescribed AB, the incident rate of hypotension related complications were higher compared to other anti-hypertensives (hypotension 1.15 vs. 0.39, syncope 1.47 vs. 0.46, falls 4.37 vs. 1.37, fractures 2.23 vs. 0.69 per 100 person-years of follow-up). In time-varying exposure models with additional adjustment for the total number of anti-hypertensives, the higher risk persisted (hypotension HR 1.34 95%CI 1.26-1.43, syncope HR 1.49 95%CI 1.41-1.57, falls HR 1.27 95%CI 1.23-1.32, HR fractures 1.41 95%CI 1.34-1.48). Secondary outcomes of MACE and all-cause mortality were higher or similar among AB users (MACE IR 7.03 vs. 2.31, mortality 6.54 vs 6.37 per 100 person-years follow-up). The risk was highest among those > 85 and differed by the number of total anti-hypertensives prescribed. Conclusions: The use of AB is associated with a higher risk of hypotension-related events and other complications. Our findings suggest other anti-hypertensive agents be considered especially among those of advanced age or based on the number of total anti-hypertensive agents.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".