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Record W2171905855 · doi:10.1542/peds.105.5.1106

Echocardiographic Predictors of Outcome in Newborns With Congenital Diaphragmatic Hernia

2000· article· en· W2171905855 on OpenAlexaff
Kenji Suda, Jean‐Luc Bigras, Desmond Bohn, Lisa K. Hornberger, Brian W. McCrindle

Bibliographic record

VenuePEDIATRICS · 2000
Typearticle
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineCongenital diaphragmatic herniaCardiologyHypoxemiaInternal medicineApgar scoreSurgeryBirth weightFetusPregnancy

Abstract

fetched live from OpenAlex

OBJECTIVE: Despite new treatments, congenital diaphragmatic hernia (CDH) still has high mortality. The aim of this study was to identify echocardiographic predictors of outcome in newborns with an isolated CDH. METHODS: We reviewed medical charts and echocardiograms of 40 newborns who presented with CDH in the first 24 hours of life, from 1992 to 1996. We compared the cardiac valves and great arteries diameters, left-ventricular volume and mass, Apgar scores, and modified McGoon index (the combined diameter of hilar pulmonary arteries, indexed to the descending aorta) of survivors and nonsurvivors. We performed Student's t test and multiple logistic regression analysis between the 2 groups. RESULTS: Fourteen patients died 1 to 33 days after birth (median: 3 days), including 8 from progressive hypoxemia without operation; 26 have survived up to 5 years (median: 2 years) after successful operations. Nonsurvivors had significantly smaller diameters of right and left hilar pulmonary arteries, more frequent right-sided CDH, and lower mean Apgar scores at 1 and 5 minutes. The most significant prognostic factor was the modified McGoon index. A modified McGoon index </=1.3 predicted mortality with a sensitivity of 85% and specificity of 100%. CONCLUSION: Echocardiographic measurement of hilar pulmonary arteries, which may represent the adequacy of the pulmonary vascular bed, is a strong prognostic factor for newborns with congenital CDH.

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)0.000
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 score0.012
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.245
Teacher spread0.234 · 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

Citations112
Published2000
Admission routes1
Has abstractyes

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