Impact of Selective Fetal Growth Restriction on Laser Therapy Outcomes in Twin-Twin Transfusion Syndrome
Bibliographic record
Abstract
INTRODUCTION: The aim of this study was to determine if outcomes of fetoscopic laser photocoagulation in isolated twin-twin transfusion syndrome (TTTS) differ from TTTS with concomitant selective fetal growth restriction (sFGR). METHODS: This is a retrospective cohort study of all cases of TTTS treated at the CHU Sainte-Justine between February 2006 and January 2020. Data were collected from maternal, obstetrical, and neonatal chart review. RESULTS: A total of 149 patients were included in our study. Forty-seven patients (31.5%) had a pregnancy complicated by TTTS and sFGR. Mean gestational age at diagnosis and at treatment was 20+4 weeks and 20+6 weeks for TTTS alone, and 20+5 weeks and 21+2 weeks with concomitant sFGR. The presence of concomitant sFGR negatively impacted survival. Double survival in the TTTS + sFGR was 48.9% (23/47) versus 68.6% (70/102) in the TTTS-only group (p = 0.021). Fetal donor survival was 59.6% (28/47) in the TTTS + sFGR group and 84.3% (86/102) in the TTTS-only group (p = 0.001). However, the survival of at least one twin did not differ between the two groups: 93.6% (44/47) in the TTTS + sFGR group versus 92.2% (94/102) in the TTTS-only group (p = 0.751). The presence of type 2-3 sFGR (OR = 0.56; 95% CI 0.32-0.96, p = 0.033) and gestational age at laser therapy (OR = 1.17; 95% CI 1.01 = 1.36, p = 0.036) were independently associated with dual survival. CONCLUSION: sFGR is independently associated with decreased double survivorship at the expense of the donor in TTTS undergoing laser therapy. Type 2 or 3 sFGR and early gestational age at treatment are especially at risk. A larger cohort is needed to validate our results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".