Bibliographic record
Abstract
Approximately one to three per cent of pregnant women undergo surgery that is unrelated to their pregnancy. In Canada this represents about 5,000 patients each year that present unique challenges to the perioperative nurse and the entire surgical team. Approximately five to ten per cent of these patients are involved in trauma, which causes 46.3% of maternal deaths. A small percentage of elective procedures are carried out in the first trimester, before the patient herself is aware of the procedure. The majority of procedures are required for urgent and emergent conditions that require surgery despite the risks to the mother and fetus. This article will discuss perioperative care of the non-obstetric pregnant patient and to introduce a nursing care guideline that can be used as a quick-reference tool. The care discussed in the appended Guideline focuses on the pregnant condition and is to be used in conjunction with routine perioperative care practices. Semi-elective and urgent surgery is not contraindicated by pregnancy, although anesthetic and surgical approaches must be modified to promote the safety of mother and her fetus. If possible, the surgery should be postponed to the second trimester. By this time major systems of the fetus are formed and the uterus does not yet infringe on abdominal structures and manipulation may be kept to a minimum. In the first trimester, spontaneous abortion is the greatest risk at 12%. This decreases to less than five per cent in the second and third trimesters. Pre-term labor presents the greatest risk in the second and third trimesters. The most common need for surgery in pregnancy is associated with appendicitis, biliary tract disease, intestinal obstruction, urinary calculi and trauma.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.042 | 0.026 |
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".