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Record W3094139921 · doi:10.4187/respcare.08246

Validity of Empirical Estimates of the Ratio of Dead Space to Tidal Volume in ARDS

2020· article· en· W3094139921 on OpenAlexaff
José Dianti, Arthur S. Slutsky, Ewan C. Goligher

Bibliographic record

VenueRespiratory Care · 2020
Typearticle
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity Health NetworkToronto General HospitalSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineTidal volumeDead spaceARDSCapnographyExtracorporealCo2 removalCardiologyVolume (thermodynamics)Nuclear medicineInternal medicineStatisticsAnesthesiaMathematicsMechanical ventilationPhysicsRespiratory systemThermodynamicsLungCarbon dioxide

Abstract

fetched live from OpenAlex

BACKGROUND: The ratio of dead space to tidal volume (V D /V T ) is a clinically relevant parameter in ARDS; it has been shown to predict mortality, and it determines the extent to which extracorporeal CO 2 removal reduces tidal volume (V T ) and driving pressure (ΔP). V D /V T can be estimated with volumetric capnography, but empirical formulas using demographic and physiological information have been proposed to estimate V D /V T without the need of additional equipment. It is unknown whether estimated and measured V D /V T produce similar estimates of the predicted effect of extracorporeal CO 2 removal on ΔP. METHODS: We performed a secondary analysis of data from a previous clinical trial including subjects with ARDS in whom V D /V T and CO 2 production ( V ˙ CO 2 ) were measured with volumetric capnography. The estimated ratio of dead space to tidal volume (V D,est /V T ) was calculated using standard empiric formulas. Agreement between measured and estimated values was evaluated with Bland-Altman analysis. Agreement between the predicted change in ΔP with extracorporeal CO 2 removal as computed using the measured ratio of alveolar dead space to tidal volume (V Dalv /V T ) or estimated V Dalv /V T (V Dalv,est /V T ) was also evaluated. RESULTS: V D,est /V T was higher than measured V D /V T , and agreement between them was low (bias 0.05, limits of agreement –0.21 to 0.31). Differences between measured and estimated V ˙ CO 2 accounted for 57% of the error in V D,est /V T . The predicted reduction in ΔP with extracorporeal CO 2 removal computed using V Dalv,est /V T was in reasonable agreement with the expected reduction using V Dalv /V T (bias –0.7 cm H 2 O, limits of agreement –1.87 to 0.47 cm H 2 O). In multivariable regression, measured V D /V T was associated with mortality (odds ratio 1.9, 95% CI 1.2–3.1, P = .01), but V D,est /V T was not (odds ratio 1.2, 95% CI 0.8–1.8, P = .3). CONCLUSIONS: V D /V T and V D,est /V T showed low levels of agreement and cannot be used interchangeably in clinical practice. Nevertheless, the predicted decrease in ΔP due to extracorporeal CO 2 removal was similar when computed from either estimated or measured V Dalv /V T .

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)0.129
metaresearch head score (Gemma)0.539
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 score0.129
Threshold uncertainty score0.682

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1290.539
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0000.004
Scholarly communication0.0030.003
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.069
GPT teacher head0.341
Teacher spread0.272 · 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

Citations8
Published2020
Admission routes1
Has abstractyes

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