Profile of tetralogy of Fallot at the cardiology clinic of Saint-Damien hospital from January 2019 to December 2021
Bibliographic record
Abstract
Abstract Objective Our work aimed to study the epidemiological and clinical aspects of Tetralogy of Fallot (TF) in the cardiology unit of the Saint-Damien Nos Petits Frères et Sœurs hospital in Haiti. Methodology This is a retrospective study of patients aged 0 to 18 years with Tetralogy of Fallot confirmed by echocardiography. Data were entered using an elaborated form and analyzed with Epi Info software version 7.2.2.16 and Microsoft Excel 2013. Results From January 2019 to December 2021, we identified 102 patients aged 0 to 18 years with TF. A male predominance was noted with a sex ratio M/F of 1.55. The average age of discovery of our cohort was 3 years and 7 months [0-16 years; standard deviation: 9.9]. The clinical signs were dominated by a systolic murmur (91.18%) followed by cyanosis (39.22%) and dyspnea (33.33%). On echocardiography, the regular form (76.47%) associated with the severe stenosis (83.33%) was remarkable. 20.59% of patients were able to benefit from surgery and the mortality rate was 14.94%. Patients were presenting at an advanced stage where they mostly needed surgical treatment to survive. Conclusion This study shows that the prevalence of TF is also high in developing countries. The heart murmur at the pulmonary focus and the cyanosis were more present on physical examination. Patients were presenting at an advanced stage where they mostly needed surgical treatment to survive. Preventive measures are needed to reduce the mortality rate.
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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 | 0.001 | 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".