Evaluation of anticoagulation in post-surgical patients with mechanical valve replacement
Bibliographic record
Abstract
BACKGROUND: Mitral, aortic, tricuspid, and pulmonary valve disease are the four types of valvular heart disease. Valvular heart disease is defined by damage to or a congenital abnormality in one or more of the heart's valves. Rheumatic heart disease is the term used to describe valvular heart disease that develops as a consequence of rheumatic fever. There have been several suggestions made regarding biomarkers that might be used for tracking the aetiology of aortic valve disease; however, not all biomarkers are candidates that are clinically helpful. Patients who are taking vitamin K antagonists are typically advised to have their blood tested using the international normalised ratio. The purpose of this study was to determine the mean international normalised ratio in patients diagnosed with valvular heart disease who had had mechanical valve replacement and were on anti-coagulant medication. METHODOLOGY: Between the dates of 28 July 2020 and 28 January 2021, the research was carried out at the Department of Cardiology at the Punjab Institute of Cardiology in Lahore. After the inclusion criteria were satisfied, a total of 250 patients were enrolled. Consent after being fully informed was obtained, as well as demographic information. Then patients underwent surgery. After 3rd month patients were given standard anti-coagulation therapy as per hospital protocol. On each visit, blood sample was taken by using 3cc disposable syringe and sent to the laboratory of the hospital for assessment of INR and serial values of INR. RESULTS: The mean age of the patients was 42.51±16.59 years, there were 149(59.60%) patients were male. Hypertension and diabetes mellitus was found in 103(41.2%) & 75(30%) patients respectively. After 3rd month the mean INR value of patients was 2.245±0.4016. CONCLUSION: According to this study the mean international normalized ratio was 2.245±0.4016 with anti-coagulation use after mechanical valve replacement in patients with valvular heart disease
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".