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Multimodal Monitoring of Hemodynamics in Neonates With Extremely Low Gestational Age

2025· article· en· W4409283644 on OpenAlexafffundabout
Renjini Lalitha, Eyad Bitar, Matthew Hicks, Aimann Surak, Abbas Hyderi, Dawn Pepper, Po‐Yin Cheung, Kumar Kumaran

Bibliographic record

VenueJAMA Network Open · 2025
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsQueen's UniversityUniversity of AlbertaWestern University
FundersUniversity of AlbertaWomen and Children's Health Research InstituteChildren's Health Research Institute
KeywordsMedicineGestational ageCardiorespiratory fitnessHemodynamicsMechanical ventilationPediatricsGestationAnesthesiaInternal medicinePregnancy

Abstract

fetched live from OpenAlex

Importance: Evaluation and treatment of transitional circulation in neonates with extremely low gestational age (ELGA) varies greatly across centers. Objective: To determine whether multimodal hemodynamic monitoring in neonates with ELGA during the transitional period (first 72 hours of life) will improve cardiorespiratory-kidney health by decreasing vasoactive-ventilation-renal (VVR) score at 7 days. Design, Setting, and Participants: This unmasked, 2-arm randomized clinical trial included neonates born at a gestational age of 230 to 286 weeks and admitted to a neonatal unit in Canada. Patients were enrolled from February 15, 2019, to December 31, 2021, with follow-up completed in April 2022. Interventions: Neonates in the multimodal arm received early targeted neonatal echocardiography at 18 to 24 and 66 to 72 hours of life and cerebral near-infrared spectroscopy (NIRS) for the first 72 hours. A study guideline incorporating clinical-biochemical and cerebral near-infrared spectroscopy data was used for hemodynamic consultation in the multimodal arm. Neonates in the standard arm received hemodynamic assessment using clinical-biochemical data. Main Outcome and Measures: The primary outcome was VVR score at 7 days. The VVR score incorporates measures of inotrope use, ventilation support, and kidney function to reflect cardiorespiratory-kidney health, with possible scores ranging from 0 to 69.62 at 7 days; higher scores indicate worse cardiorespiratory-kidney health. Results: Primary analysis included 132 neonates with ELGA (68 in the multimodal arm and 64 in the standard arm) with mean (SD) gestational age of 26.4 (1.5) weeks (75 [56.8%] male). The mean (SD) VVR score at 7 days was 16.5 (15.4) in the multimodal arm and 18.9 (20.2) in the standard arm (P = .45). A day 7 peak VVR score greater than 53 (>95th percentile for VVR in the entire cohort) was seen only in the standard arm (7 of 63 [11.1%] vs 0 in the multimodal arm; P = .005) and was associated with a composite outcome of death or severe intraventricular hemorrhage (odds ratio [OR], 12.37; 95% CI, 1.92-79.63; P = .001) and bronchopulmonary dysplasia (BPD) (6 of 6 [100%] vs 55 of 116 [47.4%]; P = .01). Incidence of BPD was lower in the multimodal arm (26 of 63 [41.3%] vs 36 of 61 [59.0%]; P = .04). Logistic regression showed that VVR score at 7 days in the top quartile (adjusted OR [AOR], 11.40; 95% CI, 2.04-63.67), late sepsis (AOR, 65.24; 95% CI, 5.70-748.18), and patent ductus arteriosus treatment after 72 hours of life vs early or no treatment needed (AOR, 7.20; 95% CI, 1.60-32.41) were associated with BPD. Conclusions and Relevance: In this study of neonates with ELGA, multimodal hemodynamic assessment was not associated with decreased VVR scores at 7 days. However, this approach led to lower incidence of VVR associated with severe adverse outcomes and lower BPD incidence, suggesting further investigation is needed. Trial Registration: ClinicalTrials.gov Identifier: NCT03841929.

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 score0.216
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.037
GPT teacher head0.375
Teacher spread0.338 · 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

Citations7
Published2025
Admission routes3
Has abstractyes

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