Evidence map›Paper›PMID 21062434›Full record

ArticleCritical care (London, England)2010

Differences in organ dysfunctions between neonates and older children: a prospective, observational, multicenter study.

Nawar Bestati, Stéphane Leteurtre, Alain Duhamel, François Proulx, Bruno Grandbastien, Jacques Lacroix, Francis Leclerc

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in Critical care (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. [Clinical effect of continuous blood purification in treatment of multiple organ dysfunction syndrome in neonates].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020
    Article
  11. Outcomes Associated With Multiple Organ Dysfunction Syndrome in Critically Ill Children With Hyperglycemia.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2019
    Article
  12. Review
  13. Epidemiology and Outcomes of Pediatric Multiple Organ Dysfunction Syndrome.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017
    Review
  14. Strategic Planning for Research in Pediatric Critical Care.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2016
    Article
  15. Article
  16. Article
  17. Multiple organ dysfunction syndrome in humans and animals.Journal of veterinary internal medicine
    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

7 authors.

Nawar BestatiService de Réanimation Pédiatrique, Univ Lille Nord de France, UDSL, EA2694, CHU Lille, Avenue Eugène Avinée, 59037 Lille, France.
Stéphane Leteurtre
Alain Duhamel
François Proulx
Bruno Grandbastien
Jacques Lacroix
Francis Leclerc

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe multiple organ dysfunction syndrome (MODS) is a major cause of death for patients admitted to pediatric intensive care units (PICU). The Pediatric Logistic Organ Dysfunction (PELOD) score has been validated in order to describe and quantify the severity of organ dysfunction (OD). There are several physiological differences between neonates and older children. The objective of the study was to determine whether there are differences in incidence of ODs and mortality rate between full-term neonates (age <28 days) and older children.

methodsIn a prospective, observational study, 1806 patients, admitted to seven PICUs between September 1998 and February 2000 were included. The PELOD score, which includes six organ dysfunctions and 12 variables, was recorded daily. For each variable, the most abnormal value was used to define the daily OD. For each OD, the most abnormal value each day and that during the entire stay were used in calculating the daily PELOD and PELOD scores, respectively. The relationships between OD, daily OD, PELOD, daily PELOD and mortality were compared between the two strata (neonates, older children) based on the discrimination power, logistic and multiple regression analyses.

resultsOf the 1806 enrolled patients 171 (9.5%) were neonates. Incidence of MODS and mortality rate were higher among neonates than in older children (14.6% vs. 5.5%, P < 10(-7); 75.4%, vs. 50.9%, P < 10(-4); respectively). Daily PELOD scores were significantly higher in neonates from day 1 to day 4. Daily cardiovascular, respiratory and renal dysfunction scores from day 1 to day 4 as well as the PELOD score for the entire pediatric intensive care unit stay were also significantly higher in neonates. Neurological, cardiovascular, and hepatic dysfunctions were independent predictors of death among neonates while all ODs significantly contributed to the risk of mortality in older children.

conclusionsOur data demonstrate that incidence of MODS and mortality rate are higher among neonates compared to older children. Neurological, cardiovascular, and hepatic dysfunctions were the only significant contributors to neonatal mortality. Stratification for neonates versus older children might be useful in clinical trials where MODS is considered as an outcome measure.

Indexed as

Severity of Illness IndexAdolescentAge FactorsChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornIntensive Care Units, PediatricMaleMultiple Organ FailureProspective StudiesSurvival Rate

Identifiers

PMID21062434
PMCPMC3219976

What OpenQuestion holds

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LicenceCC BY
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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.