Association between elevated B-type Natriuretic Peptide levels with extent of coronary artery disease in patients with unstable angina and NSTEMI.
Bibliographic record
Abstract
The study was undertaken to find out the correlation of elevated B-type Natriuretic Peptide (BNP) levels with the severity of coronary artery disease in patients with unstable angina and NSTEMI. This cross sectional analytical study was carried out in the department of cardiology, National Institute of Cardiovascular Diseases, Dhaka during a period of August 2011 to June 2012. A total of 100 consecutive patients with unstable angina and NSTEMI undergoing coronary angiography were included in the study. BNP assay was done by Architect system, a chemo luminescent microparticle immunoassay (CMIA). CAG was done by conventional method within 14 days of index hospital admission. Study patients were divided into two groups on the basis of BNP levels. In Group I, BNP Levels were ≤80pg/ml and in Group II, BNP levels were elevated >80pg/ml. with 50 patients in each group. Angiographic severity of CAD was assessed by vessel score and Friesinger score. Vessel score showed single vessel was involved in 21(47.7%) patients while multi vessel in 23(52.3%) patients was found in Group I. On the contrary 11(22.4%) single vessel patients and 38(77.6%) multivessel patients were found in Group II. There was significant association between vessel involvement (p=0.01). Friesinger score revealed that less severe CAD was found in 22(44%) patients and significant severe CAD in 28(56.0%) patients in Group I. On the contrary 7(14.0%) less severe CAD patients and 43(86.0%) severe CAD patients were found in Group II. There was significant difference between severity of CAD among the study groups (p=0.01). There was linear correlation between BNP pg/ml and coronary artery disease severity in terms of Vessel score (r=0.38, p=0.01) and Friesinger score (r=0.51, p=0.01). The present study concluded that increased BNP level >80pg/ml was significantly associated with the presence and severity of CAD in patient with UA and NSTEMI.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".