Evidence map›Paper›PMID 40854562›Full record

ArticlePediatrics2025

Prediction Rule to Identify Febrile Infants 61-90 Days at Low Risk for Invasive Bacterial Infections.

Paul L Aronson, Prashant Mahajan, Huong D Meeks, Blake Nielsen, Cody S Olsen, T Charles Casper, Robert W Grundmeier, Nathan Kuppermann, PECARN Registry Working Group

Abstract read
In one paragraph

Article in Pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Paul L AronsonSection of Pediatric Emergency Medicine, Departments of Pediatrics and of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut.
Prashant MahajanDepartments of Emergency Medicine and Pediatrics, University of Michigan, Ann Arbor, Missouri.
Huong D MeeksDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah.
Blake NielsenUtah Data Coordinating Center, University of Utah, Salt Lake City, Utah.
Cody S OlsenUtah Data Coordinating Center, University of Utah, Salt Lake City, Utah.
T Charles CasperDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah.
Robert W GrundmeierDepartment of Biomedical and Health Informatics, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Nathan KuppermannDepartments of Pediatrics and Emergency Medicine, GW School of Medicine and Health Sciences, and Children's National Hospital, Washington, District of Columbia.
PECARN Registry Working Group

Funding

Derivation and validation of a clinical prediction rule to identify febrile infants 61 to 90 days old at low and non-negligible risk of invasive bacterial infectionsR03HD110741 · NICHD · YALE UNIVERSITY · PI ARONSON, PAUL L · 2023 to 2024
$200k
NICHD NIH HHS R03 HD110741
6 · The paper itself

Abstract

objectiveTo derive and internally validate a clinical prediction rule to identify febrile infants aged 61-90 days at low risk of invasive bacterial infections (IBIs).

methodsUsing data from 17 Pediatric Emergency Care Applied Research Network Registry (PECARN) emergency departments, we included noncritically ill, previously healthy infants aged 61-90 days with temperatures greater than or equal to 38°C and urinalyses and blood cultures obtained between January 1, 2012, and April 30, 2024. Our outcome was IBI, defined as growth of pathogenic bacteria from blood or cerebrospinal fluid culture. Using recursive partitioning with 10-fold cross-validation, we derived and internally validated a prediction rule using age, temperature, urinalysis (negative/positive), and absolute neutrophil count (ANC) as candidate predictors. Limiting the analysis to infants with procalcitonin (PCT) and ANC results, we evaluated PCT as an additional predictor.

resultsOf 4952 infants included, 100 (2.0%) had IBIs, including 95 (1.9%) with bacteremia without meningitis and 5 (0.1%) with bacterial meningitis. The optimal prediction rule identified low-risk infants as those with negative urinalyses and highest temperatures less than or equal to 38.9°C, yielding a sensitivity of 86.0% (95% CI, 77.6-92.1) and specificity of 58.9% (95% CI, 57.5-60.3). In the subset of 1207 infants with PCT and ANC measurements, including 27 (2.2%) with IBIs (2 [0.2%] with bacterial meningitis), we identified PCT of 0.24 ng/mL or less and ANC of 10 710 cells/mm3 or less as low-risk predictors. This PCT-based rule demonstrated sensitivity of 100.0% (95% CI, 87.2-100.0) and specificity of 65.8% (95% CI, 63.0-68.5).

conclusionsWe derived 2 accurate clinical prediction rules to identify febrile infants aged 61-90 days at low risk of IBIs when urine and blood testing are obtained. Prospective validation is needed.

Indexed as

BacteremiaBacterial InfectionsClinical Decision RulesFeverMeningitis, BacterialEmergency Service, HospitalFemaleHumansInfantInfant, NewbornMalePredictive Value of TestsProcalcitoninRegistriesRisk AssessmentProcalcitonin

Identifiers

PMID40854562
PMCPMC12432541

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