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Record W2061179158 · doi:10.1097/aap.0b013e31824b30d2

Lumbar Dural Sac Dimensions Determined by Ultrasound Helps Predict Sensory Block Extent During Combined Spinal-Epidural Analgesia for Labor

2012· article· en· W2061179158 on OpenAlexaff
Niall Fanning, Cristián Arzola, Mrinalini Balki, Jose C. A. Carvalho

Bibliographic record

VenueRegional Anesthesia & Pain Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineLumbarLumbosacral jointBupivacaineAnesthesiaCerebrospinal fluidIsobaric processSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: The lumbosacral cerebrospinal fluid volume is a major determinant of the intrathecal spread of local anesthetics. Ultrasound imaging of the lumbar spine allows measurement of dural sac dimensions, which may potentially be used as a surrogate of cerebrospinal fluid volume. The purpose of this study was to investigate the correlation between lumbar dural sac diameter, dural sac length (DSL), and dural sac volume (DSV), measured by ultrasound, and the intrathecal spread of isobaric bupivacaine during combined spinal-epidural (CSE) analgesia for labor. METHODS: We examined 41 women with singleton pregnancies requesting neuraxial analgesia for labor. Using a 5-2-MHz curved-array ultrasound probe in the paramedian sagittal plane, we measured the dural sac width at each lumbar interspace and the DSL from L1-2 to L5-S1 interspace and calculated the dural sac volume (DSV). Following CSE block with 0.25% isobaric bupivacaine 1.75 mg and fentanyl 15 μg, peak sensory levels (PSLs) were recorded using ice, cotton, and pinprick. Statistical correlation coefficients between dural sac dimensions and PSLs were assessed by Spearman rank correlation. In addition, multiple linear regression models were used to select important predictors of PSLs. RESULTS: There was a moderate correlation between DSL and PSL to ice (ρ = -0.62; P < 0.0005) and to pinprick (ρ = -0.52; P = 0.017). Similarly, there was a moderate correlation between DSV and PSL to ice (ρ = -0.56; P = 0.004) and to pinprick (ρ = -0.61; P < 0.0008). Neither the DSL nor DSV correlated with PSL to cotton. Multiple linear regression analysis revealed that DSL, weight, and body mass index contributed to PSLs. CONCLUSIONS: The length of the lumbar spine determined by ultrasound, rather than the lumbar spine volume, combined with the weight or body mass index of the subject, is of particular value in predicting the intrathecal spread of isobaric bupivacaine during CSE analgesia for labor.

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)0.000
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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 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

Citations25
Published2012
Admission routes1
Has abstractyes

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