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Record W4386989252 · doi:10.1093/pch/pxad055.068

68 Multimodal Monitoring of Hemodynamics in Extremely Low Birth Weight Preterm Infants in a Canadian Tertiary Level Unit: Non-Blinded Randomized Control Trial/MUSE Trial

2023· article· en· W4386989252 on OpenAlexaboutno aff
Renjini Lalitha, Kumar Kumaran, Eyad Bitar, Aimann Surak, Abbas Hyderi, Matthew Hicks, Po‐Yin Cheung, Dawn Pepper

Bibliographic record

VenuePaediatrics & Child Health · 2023
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGestational ageRandomized controlled trialHemodynamicsMechanical ventilationInotropePediatricsCardiorespiratory fitnessBirth weightAnesthesiaPhysical therapySurgeryCardiologyPregnancy

Abstract

fetched live from OpenAlex

Abstract Introduction/Background Current approaches for the evaluation and treatment of transitional circulatory issues in preterm infants based primarily on blood pressure (BP) may be harmful. It is essential that these approaches are adequately investigated. This study tests a detailed hemodynamic approach with a multimodal assessment compared to standard approach, using a Vasoactive Ventilation Renal score (VVR) that incorporates inotrope use, ventilation support, and renal function along with inotrope use reflecting cardiorespiratory-renal health. Objectives To determine whether multimodal hemodynamic monitoring will improve cardiorespiratory-renal health as evidenced by decreasing VVR in preterm infants at one week of life. Design/Methods This was a randomized control trial of preterm infants born <29 weeks gestational age who were admitted to a tertiary neonatal intensive care unit between 15 Feb 2019 and 31 Dec 2021. Eligible infants were randomly assigned for the first 72 hours of life to either a multimodal assessment arm (consisting of early targeted neonatal echocardiogram, continuous cerebral near infrared spectroscopy [NIRS] and clinical-biochemical data) or to a standard arm (using clinical-biochemical data only). A comprehensive study guideline was used for hemodynamic assessment in the multimodal arm. Univariate and multivariate analyses compared the two arms. Results 298 infants were screened during the study period and 147 were randomly assigned (75 multimodal arm, 72 standard arm). 68 in the multimodal and 64 in the standard arm were included in the preliminary analysis (Figure 1). Baseline characteristics were similar in both arms (Table 1). The mean VVR scores within 7 days of life were 16.5(SD 15.4) and 18.9(SD 20.2) in the multimodal and standard arm respectively (p=0.451). Mean Ventilation Index scores in the first 72 hours of life were 16.2(SD 15.7) and 17.9(SD 15.5) respectively (p=0.552, Table 1). Peak VVR scores >53 at 7 days were significantly higher in the standard arm (11.1%) than in the multimodal arm (0%), p= 0.005. Outcomes of death, severe intraventricular hemorrhage and length of hospital stay were not statistically different. However, there was a trend toward decreased inotrope use in the multimodal arm compared with the standard arm (16.2% vs. 23.4% respectively, p=0.294). Conclusion In preterm infants, multimodal hemodynamic assessment during the transitional period was not associated with decreased VVR scores that signify improved cardiorespiratory-renal health, but led to lower incidence of VVR score greater than 90th centile and a decreasing trend in inotrope use in the first week of life.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.310
Teacher spread0.282 · 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 designRandomized trial
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

Citations2
Published2023
Admission routes1
Has abstractyes

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