Evidence map›Paper›PMID 41233764›Full record

ArticleBMC pediatrics2025

Application of the PECARN prediction rule for febrile infants up to 90 days of age: a multi-center study.

Tahir K Hameed, Salma H Almadani, Walaa A Shahin, Husam I Ardah, Walaa A Almaghrabi, Mohammed A Alhabdan, Ahmed M Alfaidi, Asma M Abuthamerah, Manar M Alahmadi, Malik H Almalki and 1 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Tahir K HameedDepartment of Pediatrics, King Abdulaziz Medical City - Riyadh, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia. hameedta@mngha.med.sa.ORCID 0000-0002-4516-2703
Salma H AlmadaniDepartment of Pediatrics, King Abdulaziz Medical City - Jeddah, Jeddah, Saudi Arabia.
Walaa A ShahinDepartment of Paediatrics, Cairo University, Cairo, Egypt.
Husam I ArdahKing Saud bin Abdulaziz University for Health Sciences - Riyadh, Riyadh, Saudi Arabia.
Walaa A AlmaghrabiDepartment of Pediatrics, King Abdulaziz Medical City - Jeddah, Jeddah, Saudi Arabia.
Mohammed A AlhabdanDepartment of Pediatrics, King Abdulaziz Medical City - Riyadh, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Ahmed M AlfaidiGenetics and Precision Medicine Department, King Abdulaziz Medical City - Riyadh, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia.
Asma M AbuthamerahDepartment of Pediatrics, Prince Sultan Military Medical City (PSMMC), Riyadh, Saudi Arabia.
Manar M AlahmadiDepartment of Pediatrics, Prince Sultan Military Medical City (PSMMC), Riyadh, Saudi Arabia.
Malik H AlmalkiDepartment of Pediatrics, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia.
Mona A AldabbaghDepartment of Pediatrics, King Abdulaziz Medical City - Jeddah, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrediction rules using biomarkers to stratify young febrile infants at low risk for bacterial infections have been developed over the last decade in North America and Europe. The aim of this study was to validate the Pediatric Emergency Care Applied Research Network (PECARN) prediction rule for febrile infants 90 days of age and younger presenting to the emergency department (ED) in tertiary care centers in Saudi Arabia.

methodsA multi-center retrospective study was conducted on febrile infants who presented to the ED at 3 Saudi hospitals between January 2018 and June 2021. Patients were included if they were full-term, 0-90 days of age, had documented fever, and procalcitonin (PCT) performed.

resultsA total of 327 patients met inclusion criteria. Fifty-three patients (16.2%) had serious bacterial infections (SBIs), 33 with urinary tract infection (UTI) alone and 20 with invasive bacterial infections (IBIs) (bacteremia and/or bacterial meningitis). The mean absolute neutrophil count was 6.6 × 10

conclusionsSBIs are common in our population, and the PECARN prediction rule performed well in classifying febrile infants at low risk for SBIs. The prediction rule was very accurate in ruling out IBIs, with no misclassified cases in infants 3 weeks of age and older. Our study helps validate the applicability of the PECARN prediction rule in our setting.

Indexed as

Bacterial InfectionsClinical Decision RulesFeverBiomarkersEmergency Service, HospitalFemaleHumansInfantInfant, NewbornMalePredictive Value of TestsProcalcitoninRetrospective StudiesRisk AssessmentSaudi ArabiaUrinary Tract InfectionsBiomarkersProcalcitoninBacteremiaFeverInfant, newbornMeningitis, bacterialUrinary tract infections

Identifiers

PMID41233764
PMCPMC12613786

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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.