A11518 Hemodialysis reduces levels of circulating microparticles in individuals with hypertension
Bibliographic record
Abstract
Objectives: Individuals with end stage kidney disease (ESKD) and hypertension are at increased risk of cardiovascular complications. Circulating microparticles (MPs) are putative biomarkers of vascular injury and circulating levels of MPs are increased in both hypertension and ESKD. The purpose of this study was to determine the effect of hemodialysis on circulating MPs in individuals with and without hypertension. Methods: 37 individuals with hypertension and 17 normotensive individuals on conventional 3 times weekly hemodialysis were studied (age 61 ± 2 years). Plasma samples from were collected in a non-fasting state immediately before and after hemodialysis at the mid-week hemodialysis session. An FX 800 hemodiafilter (Fresenius Medical Care) was used. Levels of endothelial (CD144 + ), platelet (CD41 + ), leukocyte (CD45 + ) and total (Annexin V + ) microparticles were assessed by flow cytometry. Results: Across all participants, significant reductions were seen in circulating annexin V + ve MPs (3x107vs1.6x107, P < 0.01), platelet MPs (1.8x107vs1.0x107, P < 0.001), leukocyte microparticles (2.4x106vs 1.8x106, P < 0.05), and endothelial MPs (8.4x105vs5.9x105, P < 0.01). There were no differences in pre-dialysis or post-dialysis MP levels (total, endothelial, leukocyte, or platelet) between hypertensive and non-hypertensive individuals and the inter-dialytic increases in MP levels were not significantly different between hypertensive and non-hypertensive individuals. Conclusion: Hemodialysis is associated with reductions in circulating platelet, leukocyte, and endothelial MPs. There may be significant interdialytic variation in MP levels and this should be an important consideration in studying MPs as biomarkers in ESKD. The presence of hypertension does not appear to alter inter-dialytic increases in circulating MPs.
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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 | 0.000 | 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 | 0.000 | 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) | 0.002 | 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".