Prediction of neonatal outcome of TTTS by fetal heart and Doppler ultrasound parameters before and after laser treatment
Bibliographic record
Abstract
OBJECTIVES: To determine the prognostic value of fetal Doppler and echocardiographic parameters for neonatal survival up to 30 days after laser coagulation in monochorionic pregnancies complicated by twin-twin transfusion syndrome (TTTS). METHODS: Fetal echocardiography and outcome data of consecutive cases of TTTS treated by laser were retrospectively reviewed. Hemodynamic and cardiac function parameters were collected before and after laser. RESULTS: Between February 2006 and January 2015, 106 fetoscopic laser were performed. The final analysis was limited to cases with ultrasound within 2 days before laser (n = 77) and 4 weeks after laser (n = 86). Overall neonatal survival rate was 64.9% (135/208) and 77.9% of pregnancies (81/104) had at least one baby alive. For the recipient twin, the preoperative predictors of neonatal survival were umbilical artery (UA) pulsatility index (PI), cerebro-placental PI ratio, UA end diastolic flow (EDF), ductus venosus a-wave, right ventricular myocardial performance index (RV-MPI) and CHOP score. The postoperative predictors of donor survival were donor RV-MPI and recipient UA EDF, umbilical vein pulsations, tricuspid regurgitation, cardiac hypertrophy and CHOP score. CONCLUSION: The hemodynamic predictors of postnatal survival after laser were preoperative signs of recipient cardiomyopathy and postoperative signs of cardiac overload in both twins. © 2016 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".