Evidence map›Paper›PMID 31397827›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

Development and Performance of Electronic Pediatric Risk of Mortality and Pediatric Logistic Organ Dysfunction-2 Automated Acuity Scores.

Christopher M Horvat, Henry Ogoe, Sajel Kantawala, Alicia K Au, Ericka L Fink, Eric Yablonsky, Patrick M Kochanek, Srinivasan Suresh, Robert S B Clark

Open access · greenAbstract readValidation Study
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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Multidrug-resistant organisms: A significant cause of severe sepsis in pediatric intestinal and multi-visceral transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Early Hyperoxemia and Outcome Among Critically Ill Children.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
    Observational
  10. Observational
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Christopher M HorvatDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Henry OgoeDivision of Health Informatics, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA.
Sajel KantawalaDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Alicia K AuDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Ericka L FinkDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Eric YablonskyDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Patrick M KochanekDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Srinivasan SureshDivision of Health Informatics, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA.
Robert S B ClarkDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
University of Pittsburgh · USChildren's Hospital of Pittsburgh · US

Funding

PEDIATRIC NEUROINTENSIVE CARE AND RESUSCITATION RESEARCHT32HD040686 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Robert S B Clark, PATRICK M KOCHANEK · 2000 to 2026
$7.1M
Mixed graphical models for the prediction of neurological morbidity in the PICUK23NS104133 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AU, ALICIA K · 2018 to 2022
$947k
NICHD NIH HHS L40 HD099798NICHD NIH HHS T32 HD040686NINDS NIH HHS K23 NS104133
6 · The paper itself

Abstract

objectivesDevelop and test the performance of electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV and electronic version of the Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 scores.

designRetrospective, single-center cohort derived from structured electronic health record data.

settingLarge, quaternary PICU at a freestanding, university-affiliated children's hospital. PATIENTS: All encounters with a PICU admission between January 1, 2009, and December 31, 2017, identified using electronic definitions of inpatient encounter.

interventionsNone. MEASUREMENTS AND MAIN

resultsThe main outcome was predictive validity of each score for hospital mortality, assessed as model discrimination and calibration. Discrimination was examined with the area under the receiver operating characteristics curve and the area under the precision-recall curve. Calibration was assessed with the Hosmer-Lemeshow goodness of fit test and calculation of a standardized mortality ratio. Models were recalibrated with new regression coefficients in a training subset of 75% of encounters selected randomly from all years of the cohort and the calibrated models were tested in the remaining 25% of the cohort. Content validity was assessed by examining correlation between electronic versions of the scores and prospectively calculated data (electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV) and an alternative informatics approach (Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 score). The cohort included 21,335 encounters. Correlation coefficients indicated strong agreement between different methods of score calculation. Uncalibrated area under the receiver operating characteristics curves were 0.96 (95% CI, 0.95-0.97) for electronic version of the Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 score and 0.87 (95% CI, 0.85-0.89) for electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV for inpatient mortality. The uncalibrated electronic version of the Children's Hospital of Pittsburgh Pediatric Risk of Mortality-IV standardized mortality ratio was 0.63 (0.59-0.66), demonstrating strong agreement with previous, prospective evaluation at the study center. The uncalibrated electronic version of the Children's Hospital of Pittsburgh Pediatric Logistic Organ Dysfunction-2 score standardized mortality ratio was 0.20 (0.18-0.21). All models required recalibrating (all Hosmer-Lemeshow goodness-of-fit, p < 0.001) and subsequently demonstrated acceptable goodness-of-fit when examined in a test subset (n = 5,334) of the cohort.

conclusionsElectronically derived intensive care acuity scores demonstrate very good to excellent discrimination and can be calibrated to institutional outcomes. This approach can facilitate both performance improvement and research initiatives and may offer a scalable strategy for comparison of interinstitutional PICU outcomes.

Indexed as

Hospital MortalityOrgan Dysfunction ScoresAdolescentChildChild, PreschoolElectronic Health RecordsHumansInfantIntensive Care Units, PediatricPredictive Value of TestsRetrospective StudiesRisk Assessment

Identifiers

PMID31397827
PMCPMC7115250
OpenAlexW2971010451

What OpenQuestion holds

Textmetadata
LicenceTDM
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.