Long-Term Outcomes of Hyperadrenergic Orthostatic Hypotension
Bibliographic record
Abstract
Abstract Purpose Hyperadrenergic orthostatic hypotension is a subtype of orthostatic hypotension associated with elevated norepinephrine levels upon standing. Our previous study found that this subtype is characterized by less severe autonomic impairment compared to orthostatic hypotension with normal or low norepinephrine levels. However, long-term outcomes have not been determined. Thus, the purpose of this study was to evaluate the all-cause mortality and phenoconversion over 7 years. Methods In this prospective observational study, 92 patients with orthostatic hypotension were recruited from the Vanderbilt Autonomic Dysfunction Center. 34 patients with upright norepinephrine levels above 600 pg/mL were included in the hyperadrenergic cohort and 58 composed the orthostatic hypotension cohort. Both cohorts were followed for 7 years while assessing all-cause mortality and phenoconversion to neurodegenerative autonomic disorders. Results Hyperadrenergic patients showed an exaggerated orthostatic increase in norepinephrine to 938 ± 305 pg/mL upon head up tilt despite presenting with impaired autonomic reflexes. The 7-year mortality rate was 35% in the hyperadrenergic cohort compared to 22% in orthostatic hypotension (p = 0.01). The hyperadrenergic cohort had a greater phenoconversion rate to multiple system atrophy (p = 0.04), whereas the orthostatic hypotension cohort had greater phenoconversion to Parkinson’s disease and dementia with Lewy bodies. Conclusions Despite having less severe autonomic impairment, our data suggests that hyperadrenergic orthostatic hypotension has worse clinical outcomes than neurogenic orthostatic hypotension. Patients with hyperadrenergic orthostatic hypotension require careful monitoring, given that this condition may be associated with negative outcomes.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".