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1203 Lung ultrasound could be used as a screening for Hemodynamically Significant Patent Ductus Arteriosus (HPDA) – prospective study

2022· article· en· W4292121552 on OpenAlexaffabout
Amélie Cyr, Prosanta Mondal, Veronica Samedi, Sibasis Daspal

Bibliographic record

VenueBritish Association of Perinatal Medicine and Neonatal Society · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsUniversity of SaskatchewanRoyal University Hospital
Fundersnot available
KeywordsDuctus arteriosusLung ultrasoundMedicineCardiologyLungLeft lungUltrasoundInternal medicineRadiology

Abstract

fetched live from OpenAlex

<h3>Aims</h3> Determining whether a PDA is hemodynamically significant or not (non-hsPDA) is clinically relevant to evaluate the risk of associated morbidities and to determine subsequent management courses such as the need for intervention. A known consequence of hsPDA is pulmonary edema. The aim of the study is to evaluate whether the assessment of pulmonary edema by lung ultrasound is a reliable sonographic indicator of hsPDA. Lung ultrasound could then be an accessible bedside tool used to evaluate if a PDA is hemodynamically significant and to assist with decision-making regarding its management along with other clinical and echocardiographic indicators. <h3>Methods</h3> We conducted a prospective study of 20 infants in the Neonatal Intensive Care Unit at the Jim Pattison Children’s Hospital, Canada, between July 2019 to October 2020. Inclusion criteria were very preterm infants (gestational age less than 32 weeks) with low birth weight (less than 2500 grams) who had an echocardiogram and a bedside lung ultrasound assessment within their first two weeks of life. The infants were divided into two groups based on their echocardiogram findings: infants with a non-hsPDA (no PDA or non-hsPDA) and infants with a hsPDA. Differences in clinical characteristics, echocardiogram findings, and lung ultrasound scores were evaluated. A bedside lung ultrasound was done on the same day as the echocardiogram to assess for the presence of pulmonary edema. Lung ultrasound scoring was used to evaluate oxygenation needs. <h3>Results</h3> The echocardiographic and lung ultrasound scores of infants included in this study are summarized in table 1. Six patients (6/20) did not have a PDA (2/6) or had a non-HsPDA (4/6) while 14 patients (14/20) had an HsPDA based on echocardiogram findings. LUS score was significantly higher (10.6) in the HsPDA group compared to the non-HsPDA group ( 6.0), and these indices correlated with echocardiographic parameters. <h3>Conclusion</h3> • This study demonstrates that LUS scoring can be used as a sonographic indicator of hsPDA.However, given significant limitations – further studies with a larger population size are required.

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)0.000
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 score0.028
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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