Evidence map›Paper›PMID 41462806›Full record

ArticleChildren (Basel, Switzerland)2025

Predicting Bloodstream Infection in Pediatric Post-Transfusion Febrile Neutropenia: Development of a Simple Bedside Risk Score.

Eui Jun Lee, Jae Yun Jung, Young Ho Kwak, Do Kyun Kim, Joong Wan Park

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Article in Children (Basel, Switzerland), 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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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Eui Jun LeeDepartment of Emergency Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.ORCID 0000-0002-6304-8277
Jae Yun JungDepartment of Emergency Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Young Ho KwakDepartment of Emergency Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Do Kyun KimDepartment of Emergency Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.
Joong Wan ParkDepartment of Emergency Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesChildren receiving chemotherapy are highly susceptible to infection, and bloodstream infection (BSI) is a major cause of morbidity in febrile neutropenia. Post-transfusion fever represents a specific diagnostic dilemma, where febrile non-hemolytic transfusion reactions may be clinically indistinguishable from early BSI. We aimed to develop and internally validate a simple bedside score to predict BSI in children presenting to the ED with post-transfusion fever.

methodsWe performed a retrospective, single-center diagnostic prediction study of consecutive ED encounters between 2015 and 2024 in a tertiary children's hospital. Eligible encounters involved patients ≤ 18 years with an underlying malignancy receiving systemic chemotherapy who presented with fever within 24 h of red blood cell or platelet transfusion, had neutropenia, and with at least one blood culture obtained. BSI was defined as growth of a clinically significant pathogen within 48 h; episodes with only contaminants or colonizing flora were classified as non-BSI. Multivariable logistic regression with four prespecified predictors-transfusion-to-ED arrival interval, body temperature, absolute neutrophil count (ANC), and C-reactive protein (CRP)-was used to develop the model and derive a 0-5 point bedside score. Performance was assessed using AUC, diagnostic indices at prespecified cut-offs, calibration, and bootstrap internal validation.

resultsOf 507 screened encounters, 287 met inclusion criteria; 39 (13.6%) were adjudicated as BSI. The full model showed good discrimination (AUC 0.82). The derived score (2 points for ANC = 0/µL; 1 point each for temperature ≥ 38.5 °C, CRP ≥ 2.5 mg/dL, and transfusion-to-ED interval ≥ 7 h) achieved an AUC of 0.84. At a cut-off ≥2, sensitivity was 97.4% and negative predictive value 98.8%, misclassifying 1 of 39 BSIs as low risk; at ≥3, specificity was 59.7% with sensitivity 89.7%. Bootstrap-corrected AUC was 0.83.

conclusionsIn children receiving chemotherapy who present with post-transfusion fever, a simple 0-5 point bedside score based on temperature, ANC, CRP, and transfusion-to-ED interval provided useful early stratification of BSI risk in this single-center cohort. Prospective multicenter validation is needed before clinical implementation.

Indexed as

bloodstream infectionchemotherapyfebrile neutropeniapediatricstransfusion

Identifiers

PMID41462806
PMCPMC12732272

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