ArticleClinics (Sao Paulo, Brazil)2023
Complete blood count and C-reactive protein to predict positive blood culture among neonates using machine learning algorithms.
Article in Clinics (Sao Paulo, Brazil), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Machine Learning-Based Prediction of Culture-Confirmed Neonatal Sepsis in a Tertiary Neonatal Intensive Care Unit: Retrospective Cohort Study.JMIR medical informatics · 2026Article
- Clinical prediction models to diagnose neonatal sepsis in low-income and middle-income countries: a scoping review.BMJ global health · 2025Article
- Biomarkers for Serious Bacterial Infections in Febrile Children.Biomolecules · 2024Review
- Assessing sepsis-induced immunosuppression to predict positive blood cultures.Frontiers in immunology · 2024Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe authors aimed to develop a Machine-Learning (ML) algorithm that can predict positive blood culture in the neonatal intensive care unit, using complete blood count and C-reactive protein values.
methodsThe study was based on patients' electronic health records at a tertiary neonatal intensive care unit in São Paulo, Brazil. All blood cultures that had paired complete blood count and C-reactive protein measurements taken at the same time were included. To evaluate the machine learning model's performance, the authors used accuracy, Area Under the Receiver Operating Characteristics (AUROC), recall, precision, and F1-score.
resultsThe dataset included 1181 blood cultures with paired complete blood count plus c-reactive protein and 1911 blood cultures with paired complete blood count only. The f1-score ranged from 0.14 to 0.43, recall ranged from 0.08 to 0.59, precision ranged from 0.29 to 1.00, and accuracy ranged from 0.688 to 0.864.
conclusionComplete blood count parameters and C-reactive protein levels cannot be used in ML models to predict bacteremia in newborns.
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Registered trials
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