P94 Relationship Between Central Pressure and Potassium Urinary Excretion in a Population-Based Study in Salvador, Brazil, Preliminary Results
Bibliographic record
Abstract
Abstract Introduction Central pressure (CP) has been shown to be more reliable in cardiovascular mortality than peripheral. Previous studies correlate the relationship between CP increase and urinary potassium excretion. Methods A population-based cross-sectional study representative of a neighborhood of Salvador-Ba, Brazil, distributed in 12 census tracts according to the Brazilian Institute of Geography and Statistics. The overall sample is randomized in adults from the assigned area from December 2016 to May 2019. Individual and household records are filled out. The CP, measured in the radial artery, obtained through aplanation tonometry, using the SphygmoCor ® apparatus (XCEL, AtCor Medical, Sydney, Australia, [2] with confidence ≥85%). CP is evaluated directly by the central systolic pressure equipment and central diastolic blood pressures collected, blood and urine of 24 hours of urinary potassium were quantified by the ADVIA 1800 ® selective ion electrode (SiemensHealthcare Japan/Canada). All participants signed a Free and Informed Consent Form. Frequency and descriptive measures (mean, standard deviation), Spearman’s linear correlation coefficient between CP and K + were stratified by age and sex, using STATA v.12 software for treatment and generation of results, and the level of statistical significance of 5%. Results A total of 145 individuals with a predominance of females (70.3%). The CP and excretion of potassium in the female sex was directly proportional, whereas in the male sex the ratio was inversely proportional, but in both groups there wasn’t statistical significance. Conclusion The results obtained weren’t adequate for the literature. A larger sample is needed for accuracy in this group.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".