Evidence map›Paper›PMID 28367430›Full record

ArticleFrontiers in pediatrics2017

Heart Rate and Blood Pressure Centile Curves and Distributions by Age of Hospitalized Critically Ill Children.

Danny Eytan, Andrew J Goodwin, Robert Greer, Anne-Marie Guerguerian, Peter C Laussen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  4. Observational
  5. Observational
  6. Article
  7. Article
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  9. Article
  10. Observational
  11. Article
  12. Article
  13. [Paediatric Life Support].Notfall & rettungsmedizin · 2021
    Review
  14. Clinical Classification of Cold and Warm Shock: Is There a Signal in the Noise?Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    Article
  15. Article
  16. Observational
  17. Review
  18. Data Science for Child Health.The Journal of pediatrics · 2019
    Review
  19. Predicting individual physiologically acceptable states at discharge from a pediatric intensive care unit.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
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 at 2 institutions in 2 countries.

Danny EytanDepartment of Critical Care Medicine, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Department of Pediatric Critical Care, Rambam Medical Center, Haifa, Israel.
Andrew J GoodwinDepartment of Critical Care Medicine, The Hospital for Sick Children, University of Toronto , Toronto, ON , Canada.
Robert GreerDepartment of Critical Care Medicine, The Hospital for Sick Children, University of Toronto , Toronto, ON , Canada.
Anne-Marie GuerguerianDepartment of Critical Care Medicine, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Neuroscience and Mental Health Program, Research Institute, Toronto, ON, Canada.
Peter C LaussenDepartment of Critical Care Medicine, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Department of Anaesthesia, University of Toronto, Toronto, ON, Canada.
University of Toronto · CASickKids Foundation · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart rate (HR) and blood pressure (BP) form the basis for monitoring the physiological state of patients. Although norms have been published for healthy and hospitalized children, little is known about their distributions in critically ill children. The objective of this study was to report the distributions of these basic physiological variables in hospitalized critically ill children. Continuous data from bedside monitors were collected and stored at 5-s intervals from 3,677 subjects aged 0-18 years admitted over a period of 30 months to the pediatric and cardiac intensive care units at a large quaternary children's hospital. Approximately 1.13 billion values served to estimate age-specific distributions for these two basic physiological variables: HR and intra-arterial BP. Centile curves were derived from the sample distributions and compared to common reference ranges. Properties such as kurtosis and skewness of these distributions are described. In comparison to previously published reference ranges, we show that children in these settings exhibit markedly higher HRs than their healthy counterparts or children hospitalized on in-patient wards. We also compared commonly used published estimates of hypotension in children (e.g., the PALS guidelines) to the values we derived from critically ill children. This is a first study reporting the distributions of basic physiological variables in children in the pediatric intensive care settings, and the percentiles derived may serve as useful references for bedside clinicians and clinical trials.

Indexed as

big datablood pressurecritical careheart ratepediatricspercentiles

Identifiers

PMID28367430
PMCPMC5355490
OpenAlexW2596733157

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.