Abstract TAC287: Determining the relationship between renal accessory and branching arteries with resistant hypertension: a case-control study
Bibliographic record
Abstract
Introduction: Renal accessory arteries originate at the aorta and deliver renal blood flow independent of the main renal artery, while renal artery branches originate from and their flow depends on the main renal artery. However, the clinical significance of accessory arteries remains unclear. We tested the hypothesis that characteristics of renal accessory and/or branching arteries morphology are linked to resistant hypertension (RH). Methods: In a case-control study we compared the presence and characteristics of renal accessory and branching arteries (exposures) in individuals with RH (cases) vs. healthy kidney donors (normotensive controls) (Figure 1). Using MR angiography we calculated the length, diameter, tortuosity, and resistance (8*Length*blood viscosity)/(πr 4 )) of each artery (Figure 2). In separate logistic regression analyses we compared cases and controls for each of the following accessory or branching artery parameters: number of vessels, smallest diameter, length of longest vessel, greatest tortuosity, and greatest resistance. Results: We compared 89 unique RH cases to 248 unique normotensive controls (Table 1). For accessory arteries, their number was inversely related with RH (OR 0.38, 95% CI: 0.21 to 0.69, p<0.01), while length was mildly associated with RH (OR 1.06, 95% CI 1.00 to 1.13, p=0.04). Diameter and tortuosity were not associated in either direction. For branching arteries, RH was strongly associated with their diameter (OR 12.86, 95% CI 2.89 to 57.13, p<0.01), but more mildly and inversely with their resistance (OR 0.99, 95% CI: 0.97 to 1.00, p=0.01). The number and length of branching arteries were not associated in either direction. Conclusion: RH is strongly associated with a reduced number of accessory renal arteries and wider branching arteries, both being novel findings. Future longitudinal studies should determine if these changes are causally related to development of hypertension. Elucidation of this relationship may open new avenues for management of RH.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".