Evidence map›Paper›PMID 32931197›Full record

Observational studyCritical care medicine2020

Evaluating Pediatric Sepsis Definitions Designed for Electronic Health Record Extraction and Multicenter Quality Improvement.

Halden F Scott, Richard J Brilli, Raina Paul, Charles G Macias, Matthew Niedner, Holly Depinet, Troy Richardson, Ruth Riggs, Heidi Gruhler, Gitte Y Larsen and 3 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05311046 (Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics), which is not on this 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.

NCT05311046 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics

TypeobservationalSponsorComputer Technology Associates, Inc.Ran2026 to 2029Enrolled12,961ConditionsSepsisArmsPediatric sepsis screening tool (either algorithmic or manual)
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Phoenix Sepsis Criteria in Critically Ill Children: Retrospective Validation Using a United States Nine-Center Dataset, 2012-2018.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2025
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  7. Article
  8. Article
  9. Article
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  12. A sepsis trigger tool reduces time to antibiotic administration in the NICU.Journal of perinatology : official journal of the California Perinatal Association · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Halden F ScottDepartment of Pediatrics, University of Colorado School of Medicine, Aurora, CO.
Richard J BrilliNationwide Children's Hospital, Division of Pediatric Critical Care Medicine, Department of Pediatrics, Columbus, OH.
Raina PaulDivision of Emergency Medicine, Advocate Children's Hospital, Park Ridge, IL.
Charles G MaciasDivision of Pediatric Emergency Medicine, Department of Pediatrics, Rainbow Babies and Children's Hospital, Case Western Reserve University, Cleveland, OH.
Matthew NiednerDivision of Pediatric Critical Care Medicine, Department of Pediatrics, University of Michigan School of Medicine, Ann Arbor, MI.
Holly DepinetDivision of Emergency Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH.
Troy RichardsonChildren's Hospital Association, Lenexa, KS.
Ruth RiggsChildren's Hospital Association, Lenexa, KS.
Heidi GruhlerChildren's Hospital Association, Lenexa, KS.
Gitte Y LarsenPediatric Critical Care, Primary Children's Hospital, Department of Pediatrics, University of Utah, Salt Lake City, UT.
W Charles HuskinsDivision of Pediatric Infectious Diseases, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN.
Fran BalamuthDepartment of Pediatrics, Division of Pediatric Emergency Medicine, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Improving Pediatric Sepsis Outcomes (IPSO) Collaborative Investigators.

Funding

PED Screen: Pediatric Sepsis EHR Registry, Clinical Outcomes, and Predictive ModelR01HD087363 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALPERN, ELIZABETH RACHEL · 2017 to 2021
$3.2M
Pediatric septic acute kidney injury: personalizing antibiotic dosing through understanding acute kidney injury risk factors and biomarker profilesK23DK119463 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI FITZGERALD, JULIE C. HOLLOWS · 2020 to 2024
$810k
Enhancing Quality in Pediatrics Sepsis with Shock Prediction and Early Electronic Decision Support (EQUIP with SPEED)K08HS025696 · AHRQ · UNIVERSITY OF COLORADO DENVER · PI SCOTT, HALDEN F · 2018 to 2022
$742k
AHRQ HHS K08 HS025696NICHD NIH HHS R01 HD087363NIDDK NIH HHS K23 DK119463
6 · The paper itself

Abstract

objectivesTo describe the Children's Hospital Association's Improving Pediatric Sepsis Outcomes sepsis definitions and the identified patients; evaluate the definition using a published framework for evaluating sepsis definitions.

designObservational cohort.

settingMulticenter quality improvement collaborative of 46 hospitals from January 2017 to December 2018, excluding neonatal ICUs. PATIENTS: Improving Pediatric Sepsis Outcomes Sepsis was defined by electronic health record evidence of suspected infection and sepsis treatment or organ dysfunction. A more severely ill subgroup, Improving Pediatric Sepsis Outcomes Critical Sepsis, was defined, approximating septic shock.

interventionsParticipating hospitals identified patients, extracted data, and transferred de-identified data to a central data warehouse. The definitions were evaluated across domains of reliability, content validity, construct validity, criterion validity, measurement burden, and timeliness. MEASUREMENTS AND MAIN

resultsForty hospitals met data quality criteria across four electronic health record platforms. There were 23,976 cases of Improving Pediatric Sepsis Outcomes Sepsis, including 8,565 with Improving Pediatric Sepsis Outcomes Critical Sepsis. The median age was 5.9 years. There were 10,316 (43.0%) immunosuppressed or immunocompromised patients, 4,135 (20.3%) with central lines, and 2,352 (11.6%) chronically ventilated. Among Improving Pediatric Sepsis Outcomes Sepsis patients, 60.8% were admitted to intensive care, 26.4% had new positive-pressure ventilation, and 19.7% received vasopressors. Median hospital length of stay was 6.0 days (3.0-13.0 d). All-cause 30-day in-hospital mortality was 958 (4.0%) in Improving Pediatric Sepsis Outcomes Sepsis; 541 (6.3%) in Improving Pediatric Sepsis Outcomes Critical Sepsis. The Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated strengths in content validity, convergent construct validity, and criterion validity; weakness in reliability. Improving Pediatric Sepsis Outcomes Sepsis definitions had significant initial measurement burden (median time from case completion to submission: 15 mo [interquartile range, 13-18 mo]); timeliness improved once data capture was established (median, 26 d; interquartile range, 23-56 d).

conclusionsThe Improving Pediatric Sepsis Outcomes Sepsis definitions demonstrated feasibility for large-scale data abstraction. The patients identified provide important information about children treated for sepsis. When operationalized, these definitions enabled multicenter identification and data aggregation, indicating practical utility for quality improvement.

Indexed as

AdolescentChildChild, PreschoolElectronic Health RecordsFemaleHospital MortalityHospitals, PediatricHumansImmunocompromised HostInfantIntensive Care Units, PediatricLength of StayMaleOrgan Dysfunction ScoresPositive-Pressure RespirationQuality Improvement

Identifiers

PMID32931197
PMCPMC7677030

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Registered trials

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.