Mid-Term Clinical and Echocardiographic Outcomes of Percutaneous Transvenous Mitral Commissurotomy in Patients with Rheumatic Mitral Stenosis
Bibliographic record
Abstract
Introduction: Mitral stenosis is a condition characterized by the narrowing of the mitral valve, which regulates blood flow between the left atrium and left ventricle of the heart. Objectives: The main objective of the study is to find the mid-term clinical and echocardiographic outcomes of percutaneous transvenous mitral commissurotomy in patients with rheumatic mitral stenosis. Material and Methods: The present study was a retrospective observational study conducted at Ayub Teaching Hospital, Abbottabad. The study included a total of 70 patients who underwent percutaneous transvenous mitral commissurotomy (PTMC) between 1st January 2022 and 30th June 2022. Results: A total of 70 patients who underwent PTMC at Ayub Teaching Hospital, Abbottabad, between 1st January 2022 and 30th June 2022 were included in this retrospective observational study. The mean age of the patients was 39.2 ± 12.8 years, and 52 (74.3%) were females. The mean mitral valve area (MVA) prior to PTMC was 0.9 ± 0.2 cm^2 that increased to 1.8 ± 0.3 cm^2 after the procedure, and it was statistically significant (p<0.001). The immediate success rate of PTMC was 94.3%, while the mid-term success rate was 90%. Conclusion: In conclusion, percutaneous transvenous mitral commissurotomy (PTMC) is a safe and effective treatment option for patients with rheumatic mitral stenosis. Our study showed that PTMC resulted in a significant improvement in mitral valve area, trans-mitral pressure gradient, pulmonary artery systolic pressure, and clinical symptoms of dyspnea, fatigue, and palpitations. Keywords: Mitral stenosis, PTMC, Patients, Procedures, MVA
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".