Fluid Extravasation in Hip Arthroscopy: A Systematic Review
Bibliographic record
Abstract
PURPOSE: The purpose of this systematic review was to (1) characterize cases of fluid extravasation during hip arthroscopy and explore common factors among them and (2) describe management strategies and outcomes of this complication. METHODS: The databases MEDLINE, EMBASE, and PubMed were searched and screened in duplicate. Data regarding patient demographics, fluid management, presentation, management, and outcomes were collected. Study quality was assessed in duplicate using the Methodological Index for Non-Randomized Studies Criteria. RESULTS: Fourteen studies (1,286 patients) were included. Twenty-two occurrences of symptomatic fluid extravasation were reported in 21 patients (1.6% of total patients; one patient had fluid extravasation during 2 separate hip arthroscopies). Two studies of normal fluid extravasation in asymptomatic patients reported 1.13 to 3.06 L of extravasated fluid observed on computed tomography. Nine case studies were included, which provided detailed patient and surgical information. Of these 9 patients (10 cases) with a mean age of 38.2 years old (range, 15 to 55 years), 6 were female. Signs of fluid extravasation included abdominal distension (89%), hypothermia (56%), hypotension. and metabolic acidosis (33% each). Four patients required surgical intervention, while 3 underwent paracentesis. Two patients were managed conservatively. All patients stabilized and were discharged, with one patient reporting abdominal complaints at latest follow-up (length of follow-up unspecified). CONCLUSIONS: Fluid extravasation is a rare but potentially life-threatening complication of hip arthroscopy. It is important for surgeons and anaesthesiologists to be aware of its existence in order to recognize and manage it promptly. Most patients require interventional management by surgery or paracentesis, but some stabilize with conservative management. LEVEL OF EVIDENCE: Level IV, systematic review of Level IV studies.
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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 | 0.008 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.012 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".