Evidence map›Paper›PMID 41035815›Full record

ArticleLancet regional health. Americas2025

Digital neonatal neurocritical care in Brazil: a retrospective multicentre cohort study of over 11,000 remotely monitored infants.

Gabriel Fernando Todeschi Variane, Danieli Mayumi Kimura Leandro, Silvia Schoenau de Azevedo, Rafaela Fabri Rodrigues, Leticia Brito Sampaio, Paula Natale Girotto, Maurício Magalhães, Alexandre Netto, Marcelo Jenné Mimica, Valerie Y Chock and 1 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Gabriel Fernando Todeschi VarianeDivision of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Danieli Mayumi Kimura LeandroDivision of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Silvia Schoenau de AzevedoProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Rafaela Fabri RodriguesDivision of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Leticia Brito SampaioProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Paula Natale GirottoProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Maurício MagalhãesDivision of Neonatology, Department of Pediatrics, Irmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil.
Alexandre NettoProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Marcelo Jenné MimicaProtecting Brains & Saving Futures, Clinical Research Department, São Paulo, Brazil.
Valerie Y ChockDivision of Neonatal and Developmental Medicine, Stanford University School of Medicine and Lucile Packard Children's Hospital Stanford, Palo Alto, CA, United States.
Krisa Page Van MeursDivision of Neonatal and Developmental Medicine, Stanford University School of Medicine and Lucile Packard Children's Hospital Stanford, Palo Alto, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neonatal brain injury is a major global health challenge, disproportionately affecting low- and middle-income countries (LMIC), where access to specialized care remains limited. Technology-driven neuroprotective strategies may allow the dissemination of specialized care to resource-constrained settings. This study describes the implementation of a digital health strategy to deliver specialized neurocritical care to multiple neonatal intensive care units (NICUs) in Brazil. Methods: Retrospective observational multicenter cohort study analyzing data from July 2017 to June 2024, from 79 NICUs across Brazil. A digital health strategy was implemented, incorporating real-time video amplitude-integrated and raw electroencephalography (video-aEEG/EEG), near-infrared spectroscopy (NIRS), and vital signs monitoring, supported by neonatology and pediatric neurology experts available 24/7. Education and training of bedside providers were accomplished by initial in-person sessions, followed by online training. An immersive reality tool was piloted to conduct consultations between the central monitoring and bedside teams. Findings: 11,333 neonates received neurocritical care with 727,858 h of remotely recorded brain monitoring and 124,967 interactions between monitoring centers and bedside teams. Most neonates were male (57.7%), the median gestational age was 37 weeks (IQR 32-39), and the mean birth weight was 2667 g (SD ± 635 g). The most common neuromonitoring indications were suspected seizures (23.3%), moderate or severe hypoxic-ischemic encephalopathy (15.9%), and mild hypoxic-ischemic encephalopathy (13.3%). In the study population, electrographic seizures were identified in 18.4%, and a single antiseizure medication achieved seizure control in 56.1%. The first line antiseizure medication was phenobarbital (97%). Pathologic aEEG/EEG background pattern was seen in 24.9%, and sleep-wake cycling was absent in 41.2%. Simultaneous video-aEEG/EEG and NIRS monitoring data were acquired from 1688 infants. Immersive reality was successfully piloted in 2023 in a single center, enhancing consultations between central monitoring and bedside teams and standardizing the training of healthcare professionals performing the modified Sarnat exam. Interpretation: Applying digital solutions for specialized neurocritical care and training across distant and resource-limited centers is feasible and has the potential to promote equity and increase quality of care for high-risk infants. Funding: None.

Indexed as

Brain monitoringDigital healthNeuromonitoringNewbornRemote aEEGRemote EEGRemote monitoringTelehealthTelemedicine

Identifiers

PMID41035815
PMCPMC12483687

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.