Preeclampsia While on Venovenous Extracorporeal Membrane Oxygenation Support
Bibliographic record
Abstract
The coronavirus disease 2019 (COVID-19) pandemic presented many challenges during pregnancy. Complications of COVID-19 in pregnancy were abundant, with higher rates of respiratory failure and preeclampsia. We present here a case of a woman at 24 weeks' gestation requiring extracorporeal membrane oxygenation (ECMO) for refractory hypoxic respiratory failure and her management for presumed preeclampsia. Current methods to diagnose preeclampsia can be severely impacted by comorbid COVID-19 infection as well as the treatment with ECMO support. This is the first report detailing the challenges of using standard diagnostic criteria for diagnosis of preeclampsia while on ECMO and highlights the potential for and need for further research to identify and guide management of possible preeclampsia/eclampsia. J Clin Gynecol Obstet. 2022;11(4):117-120 doi: https://doi.org/10.14740/jcgo829
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".