Evidence map›Paper›PMID 39035403›Full record

ArticlePediatric gastroenterology, hepatology & nutrition2024

Benefits and Risks of Preprepared Parenteral Nutrition for Early Amino Acid Administration in Premature Infants with Very Low Birth Weight.

Pin-Chun Chen, Hsin-Chung Huang, Mei-Jy Jeng, Feng-Shiang Cheng

Abstract read
In one paragraph

Article in Pediatric gastroenterology, hepatology & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pin-Chun ChenDepartment of Pharmacy, Taipei City Hospital, Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-2221-4507
Hsin-Chung HuangDepartment of Pediatrics, National Taiwan University Hospital, Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-1599-8542
Mei-Jy JengInstitute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei City, Taiwan.ORCID https://orcid.org/0000-0002-7427-0367
Feng-Shiang ChengDepartment of Education and Research, Taipei City Hospital, Taipei City, Taiwan.ORCID https://orcid.org/0009-0007-0042-3141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Administering early parenteral amino acids to very low birth weight (VLBW) premature infants (birth body weight [BBW]<1,500 g) is challenging due to factors such as holidays, cost, and access to sterile compounding facilities. Using advance-prepared parenteral nutrition (PN) may address this issue and should be evaluated for its safety and potential benefits. Methods: We extracted data from medical records collected between July 2015 and August 2019. VLBW infants received PN for at least seven days and were split into two groups: the traditional group (n=30), which initially received a glucose solution and then PN on workdays, and the pre-preparation group (n=16), which received advance-prepared PN immediately upon admission to the neonatal intensive care unit. Results: The median BBWs of the traditional and pre-preparation groups were 1,180.0 vs. 1,210.0 g. In the initial two days, the pre-preparation group had a significantly higher amino acid intake (2.23 and 2.24 g/kg/d) than the traditional group (0 and 1.78 g/kg/d). The pre-preparation group exhibited greater head circumference growth ratio relative to birth (7th day: 1.21% vs. -3.57%, Conclusion: Advanced preparation of PN can be safely implemented in VLBW preterm infants, offering advantages such as early, higher amino acid intake and improved head circumference growth within the first 21 days post-birth. This strategy may serve as a viable alternative in settings where immediate provision of sterile compounding facilities is challenging.

Indexed as

Amino acidsInfant, prematureInfant, very low birth weightParenteral nutrition

Identifiers

PMID39035403
PMCPMC11254649

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.