[PP.14.12] LABORATORY PREDICTORS OF THE RISK OF ADVERSE OUTCOMES IN UNSTABLE ANGINA AND ARTERIAL HYPERTENSION
Bibliographic record
Abstract
Objective: To determine the independent laboratory predictors of the risk of adverse outcomes in patients (pts) with unstable angina (UA) and arterial hypertension (AH) of 36 months follow-up. Design and method: The study involved 199 pts with UA: 1 group (G1) (mean age 56,2 ± 6,2 years) consisted of 77 (38.7%) pts without AH, group 2 (G2) included 122 (61.3%) pts with AH (mean age 57,8 ± 5,4 years). All pts underwent a general analysis of blood, levels of cardiospecific enzymes, CRP, BNP, myeloperoxidase (MPO), von Willebrand factor (v Wf), thrombin generation test, agregatogramma with analyzer Multiplate at baseline, after 6, 12 and 18 months of follow-up, ECG, EchoCG, Holter ECG, ABPM, coronary angiography at baseline and deterioration. Results: During stationary phase of the treatment coronary stenting done to 15 (19.5%) pts in the G1 without AH and 31 (25.4%) pts in G2 with AH. During 36 months of follow-up Q myocardial infarction occurred in 3 pts (3.9%) of G1 and 4 (3.3%) - from the G2; reccurent angina appeared in 12 pts (15.6%) from G1and in 22 pts (18%) from G2; coronary bypass performed in 6 pts (7,8%) from G1 and 8 pts (6,6%) from G2; coronary stenting done 6 pts (7,8%) in 1 G and 14 pts (11,5%) in 2G. Recurrent cardiovascular complications significantly more often occurred in pts without achieving target blood pressure (in 18 out of 26 pts with AH). We found that independent laboratory predictors of the risk of recurrent cardiovascular events after UA in pts with AH are: baseline v Wf > 146% (sensitivity - 75.6% specificity -94.6%), the level of MPO >336 pmol / L (sensitivity - 80.6%, specificity - 92%), the volume of platelet MPV>9,7fl (sensitivity - 86.0%, specificity - 90%) and the value AUC ADP-test (that reflects sensitivity to clopidogrel) > 60 U. Conclusions: The value of AUC ADP-test> 60 U is a unified laboratory predictor of complications for pts with and without AH. Independent laboratory predictors of adverse outcomes in pts with UA and AH are the baseline levels v Wf, MPO, the volume of platelet MPV.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.028 |
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".