Anesthetic Management of Neurosurgical Procedures During Pregnancy
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Neurosurgical disorders are rare during pregnancy and challenge the anesthesiologist with conflicting anesthetic considerations and little evidence to guide decision-making. Our objective was to review the anesthetic management of pregnant patients undergoing intracranial neurosurgery at our institution and to describe the perioperative complications and outcomes. METHODS: We used our institutional Discharge Abstract Database to identify patients assigned both neurological and obstetrical International Classification of Disease 10-A codes between April 1, 2001 and March 1, 2012. Pregnant patients who underwent intracranial neurosurgical procedures underwent a detailed chart review to extract demographic data and details about their anesthetic management and outcome. RESULTS: Nine patients underwent full chart review with a median age of 28 (range, 17 to 35) years and a gestational age of 23 (range, 7 to 30) weeks. Patients underwent a craniotomy for vascular lesions (4), neoplasms (3), and traumatic brain injuries (2). One patient was hyperventilated (PaCO2 28 mmHg), and mannitol and furosemide were used in 6 and 3 patients, respectively, without complication. Maternal neurological outcomes were good in 5 patients (Glasgow Outcome Scale of >3), poor in 3 patients (Glasgow Outcome Scale 3), and 1 patient died. Fetal outcomes were good in 5 patients and poor in 4 patients (1 therapeutic abortion, 3 intrauterine fetal demises). All cases of fetal distress or demise were either remote or occurred before the anesthetic management. CONCLUSIONS: Pregnant patients undergoing neurosurgery experience a high rate of morbidity and mortality. There were no adverse outcomes directly attributed to the use of osmotic diuretics and hyperventilation in our series.
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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 | 0.000 |
| 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) | 0.000 | 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 it