Evidence map›Paper›PMID 33258574›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 Societies2021

The Association of Laboratory Test Abnormalities With Mortality Risk in Pediatric Intensive Care.

Murray M Pollack, James M Chamberlain, Anita K Patel, Julia A Heneghan, Eduardo A Trujillo Rivera, Dongkyu Kim, James E Bost

Open access · greenAbstract 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, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Murray M PollackDepartment of Pediatrics, Division of Critical Care Medicine, Children's National Hospital and George Washington University School of Medicine and Health Sciences, Washington, DC.
James M ChamberlainDepartment of Pediatrics, Division of Emergency Medicine Children's National Hospital and George Washington University School of Medicine and Health Sciences, Washington, DC.
Anita K PatelDepartment of Pediatrics, Division of Critical Care Medicine, Children's National Hospital and George Washington University School of Medicine and Health Sciences, Washington, DC.
Julia A HeneghanDepartment of Pediatrics, Division of Critical Care Medicine, Children's National Hospital and George Washington University School of Medicine and Health Sciences, Washington, DC.
Eduardo A Trujillo RiveraBiomedical Informatics Center, George Washington University School of Medicine and Health Sciences, Washington, DC.
Dongkyu KimChildren's National Hospital and George Washington University School of Medicine and Health Sciences, Washington, DC.
James E BostChildren's National Hospital and George Washington University School of Medicine and Health Sciences, Washington, DC.
George Washington University Hospital · USGeorge Washington University · US

Funding

Clinical and Translational Science Institute at Childrens NationalUL1TR001876 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J · 2016 to 2021
$25.6M
Clinical and Translational Science Institute at Childrens National-Mentored Career Development CoreKL2TR001877 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI LUBAN, NAOMI L · 2016 to 2020
$2.0M
NCATS NIH HHS KL2 TR001877NCATS NIH HHS UL1 TR001876
6 · The paper itself

Abstract

objectivesTo determine the bivariable associations between abnormalities of 28 common laboratory tests and hospital mortality and determine how mortality risks changes when the ranges are evaluated in the context of commonly used laboratory test panels.

designA 2009-2016 cohort from the Health Facts (Cerner Corporation, Kansas City, MO) database.

settingHospitals caring for children in ICUs. PATIENTS: Children cared for in ICUs with laboratory data.

interventionsNone. MEASUREMENTS AND MAIN

resultsThere were 2,987,515 laboratory measurements in 71,563 children. The distribution of laboratory test values in 10 groups defined by population percentiles demonstrated the midrange of tests was within the normal range except for those measured predominantly when significant abnormalities are suspected. Logistic regression analysis at the patient level combined the population-based groups into ranges with nonoverlapping mortality odds ratios. The most deviant test ranges associated with increased mortality risk (mortality odds ratios > 5.0) included variables associated with acidosis, coagulation abnormalities and blood loss, immune function, liver function, nutritional status, and the basic metabolic profile. The test ranges most associated with survival included normal values for chloride, pH, and bicarbonate/total Co2. When the significant test ranges from bivariable analyses were combined in commonly used test panels, they generally remained significant but were reduced as risk was distributed among the tests.

conclusionsThe relative importance of laboratory test ranges vary widely, with some ranges strongly associated with mortality and others strongly associated with survival. When evaluated in the context of test panels rather than isolated tests, the mortality odds ratios for the test ranges decreased but generally remained significant as risk was distributed among the components of the test panels. These data are useful to develop critical values for children in ICUs, to identify risk factors previously underappreciated, for education and training, and for future risk score development.

Indexed as

Intensive Care UnitsChildCritical CareHospital MortalityHumansRisk Factors

Identifiers

PMID33258574
PMCPMC7855885
OpenAlexW3097034027

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.