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Unrecognised benefit of oesophageal doppler monitoring

2009· letter· en· W2048922490 on OpenAlexaff
Rebekah Kennedy, Thomas J. Smith

Bibliographic record

VenueAnaesthesia · 2009
Typeletter
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineCuffRefluxSurgerySuctionAirwayResuscitationCatheterInternal medicine

Abstract

fetched live from OpenAlex

We report a previously unrecognised benefit of using oesophageal doppler monitoring, that of an early warning system for major oesophageal reflux. We anaesthetised a fit young woman for an emergency laparotomy for sub-acute intestinal obstruction. Following rapid sequence induction, the patient’s trachea was intubated and a large bore nasogastric tube was inserted. Oesophageal doppler monitoring (Deltex Medical, Chichester, UK) was instituted to guide fluid resuscitation. Intra-operatively, the surgeon informed us that he was manually moving the obstructed bowel contents proximally towards the stomach. We placed a Yankauer sucker in the nasogastric tube port but could aspirate nothing. The surgeon continued to massage the bowel contents proximally. Suddenly the noise signal from the oesophageal doppler monitoring changed. The distinctive beat to beat sound was overcome with ‘white noise’. The change in the graphical display was very distinctive as well (Fig. 3). We deduced that this must represent gastric secretions refluxing to the level of the doppler probe. We promptly placed the suction in the patient’s oropharynx and approximately 5 s later proceeded to aspirate 1800 ml of faeculent gastric contents. Distinctive change in waveform morphology with massive oesophageal reflux. The patient benefited from our observation in two ways. Firstly, prompt recognition of faeculent gastric secretions in the oropharynx and their immediate removal almost certainly reduced the chance of significant tracheal soiling. Gastro-oesophageal reflux has an incidence of 16–47% in elective surgery [1]. Blunt et al. [2] showed that endotracheal cuff leakage of supraglottic secretions can occur in 11% of patients. This can increase to 83% if the cuff is not lubricated properly. Secondly, timely detection of the reflux prevented an overflow situation in which the faeculent fluid could have contaminated the patients’ mouth, nose, ears, eyes, hair, neck, adjacent IV lines, and bedding. We are not advocating routine use of oesophageal doppler monitoring to detect gastro-oesophageal reflux. However, when present, oesophageal doppler monitoring may provide an early warning of significant gastro-oesophageal reflux, even when an alert anaesthetist is aware that this is highly likely during such a manoeuvre.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.278
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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