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Record W4417016903 · doi:10.1182/blood-2025-4375

Feasibility and acceptability of point of care lung ultrasound for identification of acute chest syndrome in an inpatient pediatric hematology unit

2025· article· en· W4417016903 on OpenAlexaff
Thomas Carroll Fisher-Heath, Benjamin Nti, Seethal A. Jacob

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsAcute chest syndromeHematologyProspective cohort studyIntensive care unitCohortComplicationDiseasePoint of care

Abstract

fetched live from OpenAlex

Abstract Background: Acute chest syndrome (ACS) is a potentially life-threatening complication of sickle cell disease (SCD). Diagnosis is currently defined by a new pulmonary density on chest imaging encompassing at least one complete lung segment and one of the following: fever, hypoxia, increased work of breathing, chest pain, and/or shortness of breath. Historically, chest x-ray (CXR) has been used as the chest imaging of choice for identification of the pulmonary density. However, CXRs expose patients to ionizing radiation and can be limited when obtained at the bedside. Point of care ultrasound (POCUS) has been shown to be a reliable tool in diagnosis of lung consolidations for patients with SCD in the emergency room setting. However, its implementation in inpatient settings for patients with SCD, where ACS often occurs, remains limited. This pilot study was developed to demonstrate both the feasibility and acceptability of POCUS in the inpatient hematology setting, while also evaluating its ability to identify the development of ACS during hospitalizations for other acute complications (e.g. pain). Here, we describe the feasibility and acceptability portion of the study. Objective: Evaluate the feasibility and acceptability of lung POCUS in diagnosis of ACS for patients with SCD admitted to a pediatric inpatient hematology service Methods: Design/Patient Eligibility: This was a single center prospective cohort study. Patients were eligible for enrollment if they were <25 years of age, admitted to our inpatient hematology unit, had a diagnosis of sickle cell disease, did not have a diagnosis of ACS on admission, and were hemodynamically stable at time of enrollment. Procedure: Lung POCUS was conducted by a physician who had undergone individualized lung ultrasound training, completing greater than 30 lung ultrasounds prior to performing the intervention, which previous POCUS studies have shown to be adequate. Patients underwent POCUS examination on Days 1, 3, and 5 (if still hospitalized), and within 24 hours of any CXR obtained as part of clinical care. Surveys were administered to patients and team members following each POCUS examination. Analysis: Feasibility was determined based on participation rate, retention rate, and ease of performance as defined by duration of ultrasound. Acceptability of the intervention by both patients/family members and medical team members was assessed using a brief survey of Likert-scale questions. Results: Interim analysis showed participation rate of 83% (10 of 12 patients) with 100% retention rate for those participating (10 of 10 patients). Those patients who were not enrolled were unable to be consented due to a language barrier or guardian availability. All lung POCUS were completed in under 10 minutes. Survey analysis showed that POCUS was acceptable to both patients and medical teams involved in the patients' care, with 9 out of 10 agreeing or strongly agreeing that they were overall satisfied with the experience of undergoing lung POCUS. There were no instances of POCUS interfering with patient care. Conclusion: Point of care lung ultrasound is feasible and acceptable for both patients and medical teams in the inpatient hematology setting. Further studies are needed to assess its reliability as compared to the current stand of care when used in the inpatient hematology setting.

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)0.005
metaresearch head score (Gemma)0.021
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 score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.358
Teacher spread0.331 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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