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Record W4366257367 · doi:10.1055/s-0043-1768042

The Impact of Respiratory Therapist Performed Point-of-Care Lung Ultrasound on the Respiratory Care in Neonates, Manitoba Experience, Canada

2023· article· en· W4366257367 on OpenAlexaffabout
Yasser Elsayed, Josh Sheldon, Shere Gigolyk

Bibliographic record

VenueAmerican Journal of Perinatology · 2023
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsWinnipeg Regional Health AuthorityUniversity of Manitoba
Fundersnot available
KeywordsMedicineRespiratory therapistRespiratory careRespiratory systemIntensive care unitNeonatal intensive care unitLung ultrasoundRespiratory monitoringIntensive careCohortRespiratory failureEmergency medicineCohort studyRespiratory diseaseRetrospective cohort studyLungIntensive care medicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Objective We aimed to evaluate the impact of the registered respiratory therapist (RRT) performed point-of-care lung ultrasound (POC-LUS) on patient management in the neonatal intensive care unit (NICU). Study Design This is a retrospective cohort study of neonates who had RRT performed POC-LUS in two level III NICUs in Winnipeg, Manitoba, Canada. The analysis aims mainly to describe the implementation process of the POC-LUS program. The primary outcome was the prediction of the change in clinical management. Results A total of 136 neonates underwent 171 POC-LUS studies during the study period. POC-LUS resulted in a change in clinical management following 113 POC-LUS studies (66%), while it supported continuing the same management in 58 studies (34%). The lung ultrasound severity score (LUSsc) was significantly higher in the group with worsening hypoxemic respiratory failure and on respiratory support than infants on respiratory support and stable or not on respiratory support, p < 0.0001. LUSsc was significantly higher in infants on either noninvasive or invasive than those not on respiratory support, p-value <0.0001. Conclusion RRT performed POC-LUS service utilization in Manitoba improved and guided the clinical management of a significant proportion of patients who received the service.

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)0.001
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 score0.160
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.347
Teacher spread0.326 · 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

Citations6
Published2023
Admission routes2
Has abstractyes

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