996 A PILOT STUDY TOWARDS THE CONSEQUENCES OF A VERY LOW SALT DIET ON ARTERIAL STIFFNESS PARAMETERS
Bibliographic record
Abstract
Background: There is growing awareness that dietary high salt is associated with hypertension, arterial stiffening and adverse outcome. The immediate consequence of a substantial decrease in salt intake on arterial stiffness, however, has hardly been studied. Design and methods: In the present pilot study, we subjected 7 healthy controls to a very low sodium diet for one week, and 7 subjects served as untreated time control. AIX and PWV (SphygmoCor), blood pressure (BP) and weight were measured before the start of the low sodium diet and after 7 days into the diet. The time controls were subjected to two measurements with one-week interval. The time controls did not show any changes in BP, PWV or AIX. Results: In the low salt subjects, 24 h sodium excretion decreased from 132 ± 34 to 20 ± 18 mmol (P < 0.01), body weight from 65 ± 10 to 64 ± 9 kg (P < 0.02) indicating adherence to the diet. Systolic and diastolic BP did not change; pulse pressure was 37 ± 5 at baseline and 33 ± 6 mmHg after low salt week (P > 0.08). PWV was 8.4 ± 1.0 at baseline and 8.9 ± 0.8 m/s after low salt (P > 0.1). Radial AIX corrected for HR decreased from 22 ± 13 at baseline to 21 ± 13 % after low salt (P > 0.35). Conclusions: The present pilot study, albeit small, does not indicate that a very low salt intake acute changes arterial stiffness parameters.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".