Evidence map›Paper›PMID 42327895›Full record

ArticleFrontiers in pediatrics2026

Adverse events and clinical risk factors during intrahospital transport of critically ill neonates: a prospective pilot study at a tertiary center in Vietnam.

Ho Tan Thanh Binh, Ho Truong Hong Hanh, Phi Duong Nguyen, Dinh Quang Truong

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 2026. 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

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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.

Ho Tan Thanh BinhCity Children's Hospital, Ho Chi Minh City, Vietnam.
Ho Truong Hong HanhCity Children's Hospital, Ho Chi Minh City, Vietnam.
Phi Duong NguyenCity Children's Hospital, Ho Chi Minh City, Vietnam.
Dinh Quang TruongCity Children's Hospital, Ho Chi Minh City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intrahospital transport is often unavoidable in neonatal intensive care, but it may expose critically ill neonates to physiological instability and adverse events. Data from low- and middle-income settings remain limited, and differing hypothermia thresholds across studies may underestimate the true burden of transport-related harm. Methods: We conducted a prospective observational pilot study of intrahospital transport episodes from the neonatal intensive care unit (NICU) at a tertiary pediatric center in Ho Chi Minh City, Vietnam, between May and July 2024. Each transport episode was analyzed as a separate event. The primary outcome was unsafe transport, defined as at least one adverse event-including hypothermia <36.5°C, respiratory deterioration, hemodynamic instability, or device-related events-occurring during transport or within 24 h of NICU readmission. The secondary outcome excluded mild hypothermia and included only moderate hypothermia (32°C-35.9°C) and other clinically significant events. Results: Of the 172 screened transport events, 138 involving 96 neonates were included. Under the primary definition, 71 transport events (51.4%) were unsafe, generating 100 adverse events; 89% occurred during the return leg or post-return period. Hypothermia was the most frequent event (74.0%): 40 mild (36.0°C-36.4°C) and 34 moderate (32°C-35.9°C). Under the secondary definition, 44 transport events (31.9%) were unsafe, with 60 adverse events. Transport was significantly associated with increased FiO Conclusions: Intrahospital transport of critically ill neonates is frequently associated with adverse events, predominantly hypothermia occurring on the return leg. A surgical indication-particularly for esophageal atresia, gastroschisis, or urgent procedures - is the dominant independent risk factor. Improved thermal protection (including routine incubator use for surgical cases), standardized postreturn temperature assessment, and enhanced preparation for surgical transport are the highest-priority evidence-based interventions.

Indexed as

adverse eventsBayesian model averaginghypothermiaintrahospital transportneonatal transportNICU safetySpO2/FiO2 ratiovasoactive-inotropic score

Identifiers

PMID42327895
PMCPMC13279696

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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.