One Hundred and Fourteen Days of Somatic Support in a Severely Brain Injured Pregnant Woman: Case Report and Review of the Literature
Bibliographic record
Abstract
The management of a previable pregnancy complicated by severe brain injury raises the question of whether to provide somatic support in order to maintain the pregnancy or not. Obstetricians who encounter this clinical scenario are faced with emotional, medical and ethical complexities, which require multidisciplinary input. A 19-year-old woman with an unremarkable medical history suffered severe brain injury and remained in a persistent vegetative state following a gunshot wound to the neck. She was discovered to be 15 weeks pregnant during resuscitative efforts. Following consultation with her family and power of attorney it was agreed to continue somatic support in order to maintain the pregnancy. A literature review to determine the best evidence based care from a multidisciplinary perspective is performed addressing issues of ethics, simulation and management of changes in maternal physiology, as well as pregnancy outcomes based on the neurological sequelae following severe brain injury. Previable pregnancies complicated by severe brain injury may be maintained until viability. Based on limited data, the obstetric outcomes may differ depending on whether the neurological sequelae are brain death or a persistent vegetative state. This management should be performed following consultation with the patient ’ s power of attorney in conjunction with the ethics committee and legal department of the hospital. Maternal physiological changes of pregnancy must be considered for successful somatic support. J Clin Gynecol Obstet. 2014;3(1):42-49 doi: http://dx.doi.org/10.14740/jcgo197w
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".