Evidence map›Paper›PMID 39369103›Full record

ArticlePediatric research2025

Using heart rate variability to predict neurological outcomes in preterm infants: a scoping review.

Magdalena Smolkova, Shivani Sekar, Seh Hyun Kim, John Sunwoo, Mohamed El-Dib

Abstract readScoping Review
In one paragraph

Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Baseline NIPEEuropean journal of pediatrics · 2025
    Observational
  8. Article
  9. 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

5 authors.

Magdalena SmolkovaSchool of Clinical Medicine, University of Cambridge, Cambridge, UK. ms2647@cam.ac.uk.ORCID 0009-0003-1251-0550
Shivani SekarSchool of Clinical Medicine, University of Cambridge, Cambridge, UK.
Seh Hyun KimDivision of Newborn Medicine, Department of Pediatrics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
John SunwooAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Mohamed El-DibDivision of Newborn Medicine, Department of Pediatrics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

Academy of FinlandArvo and Ylppo Foundation (Finland)Deutsche Forschungsgesellschaft (Germany)European Commission and Irish Research CouncilInstrumentarium Scientific Trust (Finland)Ministry of Education, Culture, Sports, Science and Technology (Japan)National Institute of Child Health and Human Development (USA)National Institute of HealthNorth Carolina Department of Health and Human ServicesScience Foundation Research Centre (Ireland)University of Virginia Children’s Hospital
6 · The paper itself

Abstract

Infants born preterm are at higher risk of neurological complications, including intraventricular haemorrhage and white matter injury. After discharge, these infants may experience adverse neurodevelopmental outcomes and exhibit lower educational attainment. Early detection of brain injury and accurate prediction of neurodevelopmental impairment would allow early intervention and support. Heart rate variability (HRV) describes the variation of time intervals between each subsequent heartbeat. HRV is controlled by the autonomic nervous system, which may be affected by hypoxia and compromised blood flow. While HRV has primarily been investigated in neonatal sepsis, the association between HRV, brain injury and neurodevelopmental outcomes in preterm infants is less established. The present scoping review examines the utility of HRV monitoring for predicting short-term and long-term neurological outcomes in preterm infants. Following systematic search of Medline, Embase, Web of Science and the Cochrane Library, 15 studies were included. Nine studies examined the relationship between HRV and brain injury, with all but two showed an association. Eight studies examined the relationship between HRV and long-term outcomes and all eight found an association. This scoping review suggests that decreased HRV in the neonatal period is associated with short- and long-term neurodevelopmental outcomes in preterm infants. IMPACT: Changes in heart rate variability correlate with the occurrence of intraventricular haemorrhage in preterm infants. A decrease in heart rate variability may precede the development of intraventricular haemorrhage. Alterations in heart rate variability correlate with long-term neurodevelopmental outcomes. Significant variability exists in metrics used in assessing heart rate variability.

Indexed as

Heart RateInfant, PrematureAutonomic Nervous SystemHumansInfant, Newborn

Identifiers

PMID39369103
PMCPMC12122357

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Registered trials

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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.