Evidence map›Paper›PMID 30676492›Full record

ArticlePediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies2019

Characteristics and Outcomes of Critical Illness in Children With Feeding and Respiratory Technology Dependence.

Julia A Heneghan, Ron W Reeder, J Michael Dean, Kathleen L Meert, Robert A Berg, Joseph Carcillo, Christopher J L Newth, Heidi Dalton, Robert Tamburro, Murray M Pollack

Abstract read
In one paragraph

Article in 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. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
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  4. Functional Status Scale as a Measure of Functional Impairment and Residual Morbidity in Pediatric Intensive Care Unit Survivors: A Single-center Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
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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

10 authors.

Julia A HeneghanDepartment of Pediatrics, Children's National Health System and the George Washington School of Medicine and Health Sciences, Washington, DC.
Ron W ReederDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT.
J Michael DeanDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT.
Kathleen L MeertDepartment of Pediatrics, Children's Hospital of Michigan, Detroit, MI.
Robert A BergDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Joseph CarcilloDepartment of Critical Care Medicine, Children's Hospital of Pittsburgh, Pittsburgh, PA.
Christopher J L NewthDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, University of Southern California Keck School of Medicine, Los Angeles, CA.
Heidi DaltonDepartment of Child Health, Phoenix Children's Hospital and University of Arizona College of Medicine-Phoenix, Phoenix, AZ.
Robert TamburroPediatric Trauma and Critical Illness Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institutes of Health, Bethesda, MD.
Murray M PollackDepartment of Pediatrics, Children's National Health System and the George Washington School of Medicine and Health Sciences, Washington, DC.

Funding

Data Coordinating Center for the Collaborative Pediatric Critical Care Research NetworkU01HD049934 · NICHD · UNIVERSITY OF UTAH · PI DEAN, JONATHAN MICHAEL · 2005 to 2020
$35.2M
Physiologically Guided Ventilator Strategies in ChildrenU10HD050012 · NICHD · CHILDREN'S HOSPITAL OF LOS ANGELES · PI NEWTH, CHRISTOPHER JOHN · 2005 to 2014
$3.7M
Neurodevelopmental Outcome after Cardiac Intensive CareU10HD049981 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI WESSEL, DAVID LLOYD · 2005 to 2014
$3.7M
Collaborative Pediatric Critical Care Research NetworkU10HD050096 · NICHD · WAYNE STATE UNIVERSITY · PI MEERT, KATHLEEN L. · 2005 to 2014
$3.2M
Metoclopramide prevents PICU nosocomial infectionU10HD049983 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CARCILLO, JOSEPH A · 2005 to 2014
$3.1M
Collaborative Pediatric Critical Care Research Network (CPCCRN) at Children's NationalUG1HD049981 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI POLLACK, MURRAY MICHAEL, WESSEL, DAVID LLOYD · 2015 to 2020
$1.8M
Renewal Application for the Childrens Hospital of Pittsburgh Collaborative Pediatric Critical Care Research Network SiteUG1HD049983 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CARCILLO, JOSEPH A · 2015 to 2020
$1.6M
Collaborative Pediatric Critical Care Research NetworkUG1HD050096 · NICHD · WAYNE STATE UNIVERSITY · PI MEERT, KATHLEEN L. · 2015 to 2020
$1.6M
Pediatric Critical Care Research Network at Children's Hospital of PhiladelphiaU10HD063108 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI BERG, ROBERT ALLEN · 2010 to 2014
$1.4M
Predicting Morbidity from Pediatric Critical CareU10HD063114 · NICHD · PHOENIX CHILDREN'S HOSPITAL · PI DALTON, HEIDI J, LUND, DENNIS P · 2010 to 2014
$1.4M
Collaborative Pediatric Research Critical Care Network(U10)U10HD063106 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2010 to 2014
$1.3M
Collaborative Pediatric Critical Care Research Network - Clinical SiteRL1HD107773 · NICHD · CENTRAL MICHIGAN UNIVERSITY · PI KATHLEEN L. MEERT · 2021 to 2026
$862k
Intramural NIH HHS Z99 HD999999NICHD NIH HHS RL1 HD107773NICHD NIH HHS U01 HD049934NICHD NIH HHS U10 HD049981NICHD NIH HHS U10 HD049983NICHD NIH HHS U10 HD050012NICHD NIH HHS U10 HD050096NICHD NIH HHS U10 HD063106NICHD NIH HHS U10 HD063108NICHD NIH HHS U10 HD063114NICHD NIH HHS UG1 HD049981NICHD NIH HHS UG1 HD049983NICHD NIH HHS UG1 HD050096
6 · The paper itself

Abstract

objectivesChildren with dependence on respiratory or feeding technologies are frequently admitted to the PICU, but little is known about their characteristics or outcomes. We hypothesized that they are at increased risk of critical illness-related morbidity and mortality compared with children without technology dependence.

designSecondary analysis of prospective, probability-sampled cohort study of children from birth to 18 years old. Demographic and clinical characteristics were assessed. Outcomes included death, survival with new morbidity, intact survival, and survival with functional status improvement.

settingGeneral and cardiovascular PICUs at seven participating children's hospitals as part of the Trichotomous Outcome Prediction in Critical Care study. SUBJECTS: Children from birth to 18 years of age as part of the Trichotomous Outcome Prediction in Critical Care study.

interventionsNone. MEASUREMENTS AND MAIN

resultsChildren with technology dependence composed 19.7% (1,989/10,078) of PICU admissions. Compared with those without these forms of technology dependence, these children were younger, received more ICU-specific therapeutics, and were more frequently readmitted to the ICU. Death occurred in 3.7% of technology-dependent patients (n = 74), and new morbidities developed in 4.5% (n = 89). Technology-dependent children who developed new morbidities had higher Pediatric Risk of Mortality scores and received more ICU therapies than those who did not. A total of 3.0% of technology-dependent survivors (n = 57) showed improved functional status at hospital discharge.

conclusionsChildren with feeding and respiratory technology dependence composed approximately 20% of PICU admissions. Their new morbidity rates are similar to those without technology dependence, which contradicts our hypothesis that children with technology dependence would demonstrate worse outcomes. These comparable outcomes, however, were achieved with additional resources, including the use of more ICU therapies and longer lengths of stay. Improvement in functional status was seen in some technology-dependent survivors of critical illness.

Indexed as

AdolescentBiomedical TechnologyCase-Control StudiesChildChild, PreschoolCritical CareCritical IllnessHumansInfantInfant, NewbornIntensive Care Units, PediatricOutcome Assessment, Health CareParenteral Nutrition, TotalProspective StudiesRespiration, ArtificialSeverity of Illness Index

Identifiers

PMID30676492
PMCPMC6502673

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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.