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Record W4310477299 · doi:10.1097/pec.0000000000002872

The Impact of Bedside Cardiac Point-of-Care Ultrasound on the Utilization of Cardiology Subspecialty Resources in a Pediatric Emergency Department

2022· article· en· W4310477299 on OpenAlexaff
Amar V. Singh, Rebecca L. Starr-Seal, Kerry Caperell, Fred H. Warkentine, Ashley E. Neal

Bibliographic record

VenuePediatric Emergency Care · 2022
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineSubspecialtyEmergency departmentPediatric emergency medicineChest painEmergency medicineCardiologyInternal medicineEmergency physician

Abstract

fetched live from OpenAlex

OBJECTIVE: This study sought to determine the impact of cardiac point-of-care ultrasound (cPOCUS) in a pediatric emergency department (ED) on cardiology subspecialty utilization for subjects with chest pain or syncope. Diagnostic yield of cPOCUS and transthoracic echocardiograms (TTEs) for these subjects was also examined. METHODS: A retrospective chart review of subjects presenting to a tertiary pediatric ED with chest pain or syncope 1 year before (2015, pre-cPOCUS group) and 1 year after (2017, cPOCUS group) introduction of cPOCUS was conducted. Subjects aged 2 to 18 years evaluated for these symptoms were included. Those with known heart defects, prior abnormal TTE, or asthma exacerbation at presentation were excluded. In both groups, cardiology subspecialty utilization was assessed by determining whether cardiology referrals, cardiology consultations, or follow-up TTEs were completed. Results of TTEs were reviewed and classified as incidental (no follow-up needed), minor (follow-up needed, but intervention unlikely), moderate (nonurgent intervention needed), and severe (hospitalization/urgent intervention needed). Cardiac point-of-care ultrasound results were compared with any follow-up TTEs. Data were analyzed using χ 2 or Student t test as appropriate. RESULTS: A total of 1230 subjects were analyzed: 595 pre-cPOCUS and 635 cPOCUS group. There was no significant difference in TTEs (42 vs 46), cardiology consultations (36 vs 37), or cardiology referrals (47 vs 37) between groups. Of 67 cPOCUS scans performed, 63 were normal, 3 showed small pericardial effusion, and 2 demonstrated left ventricular dysfunction. Of 88 TTEs in both groups (0.7% subjects), 76 were normal, 5 had incidental, 6 had minor, and 1 had a severe finding present on cPOCUS (0.08% subjects; 95% confidence interval, 0%-0.45%). CONCLUSIONS: The introduction of cPOCUS did not increase cardiology subspecialty utilization in subjects presenting to the pediatric ED with chest pain or syncope. Cardiac point-of-care ultrasound may be useful in evaluating global biventricular systolic function and effusion in this population.

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)0.002
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 score0.011
Threshold uncertainty score0.825

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.345
Teacher spread0.311 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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