Evidence map›Paper›PMID 22564961›Full record

ArticleCritical care medicine2012

Chronic conditions among children admitted to U.S. pediatric intensive care units: their prevalence and impact on risk for mortality and prolonged length of stay*.

Jeffrey D Edwards, Amy J Houtrow, Eduard E Vasilevskis, Roberta S Rehm, Barry P Markovitz, Robert J Graham, R Adams Dudley

Abstract read
In one paragraph

Article in Critical care medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 2 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

134 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
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  7. Article
  8. Observational
  9. 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
    Article
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  11. Article
  12. The real-life experience of a general pulmonary transition clinic.Multidisciplinary respiratory medicine · 2025
    Article
  13. Article
  14. Article
  15. Observational
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  17. Article
  18. Article
  19. Review
  20. Article

74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jeffrey D EdwardsDivision of Pediatric Critical Care, Department of Pediatrics, University of California, San Francisco, CA 94143-0106 , USA. edwardsj@peds.ucsf.edu
Amy J Houtrow
Eduard E Vasilevskis
Roberta S Rehm
Barry P Markovitz
Robert J Graham
R Adams Dudley

Funding

Pediatric Critical Care Scientist Development ProgramK12HD047349 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI HEATHER T. KEENAN, Kevin M Watt · 2004 to 2026
$17.0M
Predicting Acute Brain Dysfunction in Older Patients: A Quality Improvement ToolK23AG040157 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VASILEVSKIS, EDUARD E · 2011 to 2015
$609k
NIA NIH HHS K23 AG040157NICHD NIH HHS K12 HD 047349NICHD NIH HHS K12 HD047349PHS HHS K12 H001097-12
6 · The paper itself

Abstract

objectiveTo estimate the prevalence of chronic conditions among children admitted to U.S. pediatric intensive care units and to assess whether patients with complex chronic conditions experience pediatric intensive care unit mortality and prolonged length of stay risk beyond that predicted by commonly used severity-of-illness risk-adjustment models. DESIGN, SETTING, AND PATIENTS: Retrospective cohort analysis of 52,791 pediatric admissions to 54 U.S. pediatric intensive care units that participated in the Virtual Pediatric Intensive Care Unit Systems database in 2008. MEASUREMENTS: Hierarchical logistic regression models, clustered by pediatric intensive care unit site, for pediatric intensive care unit mortality and length of stay >15 days. Standardized mortality ratios adjusted for severity-of-illness score alone and with complex chronic conditions. MAIN

resultsFifty-three percent of pediatric intensive care unit admissions had complex chronic conditions, and 18.5% had noncomplex chronic conditions. The prevalence of these conditions and their organ system subcategories varied considerably across sites. The majority of complex chronic condition subcategories were associated with significantly greater odds of pediatric intensive care unit mortality (odds ratios 1.25-2.9, all p values < .02) compared to having a noncomplex chronic condition or no chronic condition, after controlling for age, gender, trauma, and severity-of-illness. Only respiratory, gastrointestinal, and rheumatologic/orthopedic/psychiatric complex chronic conditions were not associated with increased odds of pediatric intensive care unit mortality. All subcategories were significantly associated with prolonged length of stay. All noncomplex chronic condition subcategories were either not associated or were negatively associated with pediatric intensive care unit mortality, and most were not associated with prolonged length of stay, compared to having no chronic conditions. Among this group of pediatric intensive care units, adding complex chronic conditions to risk-adjustment models led to greater model accuracy but did not substantially change unit-level standardized mortality ratios.

conclusionsChildren with complex chronic conditions were at greater risk for pediatric intensive care unit mortality and prolonged length of stay than those with no chronic conditions, but the magnitude of risk varied across subcategories. Inclusion of complex chronic conditions into models of pediatric intensive care unit mortality improved model accuracy but had little impact on standardized mortality ratios.

Indexed as

Hospital MortalityIntensive Care Units, PediatricAdolescentChildChild, PreschoolChronic DiseaseCohort StudiesDatabases, FactualFemaleHumansInfantLength of StayLogistic ModelsMaleOdds RatioPatient Admission

Identifiers

PMID22564961
PMCPMC3378726

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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.