MétaCan
Menu
Back to cohort

128 Systematic monitoring of etco2 in procedural sedations: a relevant medical practice or not?

2018· article· en· W2914777378 on OpenAlexaff
Geneviève Asselin, Renée Drolet, Martin Coulombe, Marc Rhainds

Bibliographic record

VenuePoster presentations · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineSedationCapnographyRespiratory monitoringPulse oximetryPropofolRespiratory rateEmergency medicineAnesthesiaApneaIntensive care medicineBlood pressureHeart rateRespiratory systemInternal medicine

Abstract

fetched live from OpenAlex

<h3>Objectives</h3> Clinical monitoring of all patients should be performed during procedural sedation to prevent possible complications including airway obstruction, apnea and hypotension. Capnography, which measures end-tidal carbon dioxide (ETCO2), is a non-invasive monitoring method that provides information about metabolic, circulatory and respiratory activities. ETCO2 could be added to other standard monitoring during procedural sedation as measurements of blood pressure, pulse, respiration, and oxygen saturation to allow early detection of critical respiratory incidents. This project aims to determine if ETCO2 should be mandatory in our hospital to ensure the safety of care during procedural sedation. <h3>Method</h3> Literature search was conducted in indexed databases and grey literature between January 1 st 2005 and April 12th 2018. Systematic reviews (SRs), clinical practice guidelines (CPGs) and primary studies on the use of ETCO2 monitoring in adults or children under procedural sedation were retrieved. Two reviewers independently performed selection, quality assessment and data extraction. Outcomes included respiratory depression rate, interventions needed to respiratory support, cardiac arrest, desaturation, hypotension, antagonist administration and false alarms. Two hospital databases were consulted to estimate the volume of procedural sedations performed during the financial year 2016–2017. Reported accidents were also retrieved from hospital database between January 1 st 2012 and March 21 st 2018. <h3>Results</h3> Six SRs and 26 CPGs were analyzed. Although CPGs recommendations are based on poor scientific evidence, they mainly targeted propofol administration or deep level sedation for the use of ETCO2. Results from meta-analyses (n=4) suggest a statistically significant lower risk of desaturations with the ETCO2 in addition to standard monitoring compared to standard monitoring. Heterogeneity between studies (desaturation definitions, procedures, depth of sedation, sedatives, oxygen administration) invites caution regarding the interpretation of these data. Effects of ETCO2 use on other outcomes remain undetermined. No serious complication with ETCO2 use during procedural sedation was reported. More than 30 000 interventions with procedural sedation are performed each year in our hospital, mainly related to emergency, gynecologic, radiologic and endoscopic procedures. The addition of ETCO2 to clinical monitoring was only found in the emergency department. Adverse events during procedural sedations were reported in two cases according to the hospital database. <h3>Conclusions</h3> The addition of ETCO2 to standard monitoring could possibly improve clinical management of procedural sedations by reducing desaturation events. However, the clinical significance to prevent such events on serious respiratory outcomes is unclear. Because results mainly refer to deep sedation with propofol, no firm conclusion can be drawn regarding ETCO2 use in case of minimal to moderate procedural sedations. Considering the risk of unnecessary medical interventions, clinicians should be advised to use ETCO2 in specific procedural sedations instead of systematically.

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)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation 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 score0.069
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
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)0.0000.000

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 head0.045
GPT teacher head0.388
Teacher spread0.342 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuePoster presentationsSame topicCardiac, Anesthesia and Surgical OutcomesFrench-language works237,207