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Damage to the conus medullaris following spinal anaesthesia: 1

2001· letter· en· W1983149026 on OpenAlexfundno aff
Philip R. Bromage

Bibliographic record

VenueAnaesthesia · 2001
Typeletter
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
FundersMcGill University
KeywordsMedicineSubarachnoid spaceConus medullarisAnesthesiaSubdural spaceSpinal cordSpinal cord injurySurgeryHematomaCerebrospinal fluid

Abstract

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Professor Reynolds' seven closed-case reports of iatrogenic injury to the spinal cord remind us of the tragic history of subarachnoid anaesthesia, and how fragile a hold this powerful technique has in contemporary anaesthetic practice (Reynolds. Anaesthesia 2001; 56: 238–47). Needle injury to the spinal cord during induction of subarachnoid block may occur in the best of hands, using standard textbook technique [1]. Therefore, the question arises: how can the safety of standard technique be improved upon? The answer to this is quite simple: adopt the loss-of-resistance-to-negative-pressure test (LORT), preferably with a Whitacre type pencil-point needle [2]. The LORT has a long and respectable history from the days of diagnostic cisternal puncture via the atlanto-occipital membrane, when it was used as an appropriate manoeuvre to avoid accidental needle trauma to the underlying hindbrain. Strangely, our specialty seems to have forgotten this simple technique that performs two essential functions when adapted to the more demanding anatomic constraints of spinal subarachnoid anaesthesia. First, it provides safety to an underlying spinal cord by signalling the precise moment to halt advance of the spinal needle. Second, the transmitted negative pressure collapses the subdural space, ensuring that the entire dose of any injected medication will enter the subarachnoid space, and none will become accidentally sequestered in the subdural space as a result of the needle point pushing the pia-arachnoid membrane inwards, away from the overlying dura mater. Technical success requires that two essential details be observed. A very firm, clenched-fist grip is required on the needle hub, while the dorsum of the hand is braced against the patient's back so that advance of the spinal needle can be halted in a fraction of a millimetre at the instant when cerebrospinal fluid (CSF) squirts back into the vacuum of the ‘seeking’ negative-pressure syringe. After the needle has been advanced 2–3 cm into the tissues, the stilette is removed, the ‘seeking’ glass syringe is attached and its plunger withdrawn between thumb and middle finger while the index finger exerts counter pressure against the rim of the syringe barrel to create a negative pressure of approximately 600 mmHg. This transmitted vacuum effectively clamps the pia-arachnoid membrane onto the overlying dura at the moment of dural puncture and obliterates the potential subdural space, while the process of confirming free reflux of CSF through 27- or 29-gauge needles is speeded up dramatically as CSF gushes back into the monitoring vacuum syringe on the instant of entering the subarachnoid space [2]. Mastery of this simple hydraulic manoeuvre provides optimal security against accidental injury to an underlying spinal cord, while at the same time increasing the probability that the entire dose of spinal medication will be delivered into the subarachnoid space, and that none will become accidentally sequestered in the subdural space. Given these advantages of precision and safety, the question arises: Why is this simple and clinically effective technique not being taught and practised as the preferred, standard routine for safe performance of subarachnoid puncture and spinal anaesthesia in contemporary practice?

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.004
Open science0.0030.003
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0050.003

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 head0.022
GPT teacher head0.272
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations24
Published2001
Admission routes1
Has abstractyes

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