ArticlePloS one2013
Which biomarkers reveal neonatal sepsis?
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 43 citations in OpenAlex.
- Valuable Role of Neutrophil CD64 and Highly Sensitive CRP Biomarkers for Diagnostic, Monitoring, and Prognostic Evaluations of Sepsis Patients in Neonatal ICUs.BioMed research international · 2020Trial
- Review
- Early prognosis of respiratory virus shedding in humans.Scientific reports · 2021Article
- Diagnostic, Prognostic, Predictive, and Monitoring Role of Neutrophil CD11b and Monocyte CD14 in Neonatal Sepsis.Disease markers · 2021Article
- The Utility of Neutrophil CD64 and Presepsin as Diagnostic, Prognostic, and Monitoring Biomarkers in Neonatal Sepsis.International journal of microbiology · 2020Article
- Neonatal Sepsis.Sisli Etfal Hastanesi tip bulteni · 2020Review
- Emerging Technologies for Molecular Diagnosis of Sepsis.Clinical microbiology reviews · 2018Review
- Using newborn screening analytes to identify cases of neonatal sepsis.Scientific reports · 2017Article
- [Value of combined determination of neutrophil CD64 and procalcitonin in early diagnosis of neonatal bacterial infection].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2017Article
- A point-of-care microfluidic biochip for quantification of CD64 expression from whole blood for sepsis stratification.Nature communications · 2017Article
- Association between biomarkers and clinical characteristics in chronic subdural hematoma patients assessed with lasso regression.PloS one · 2017Article
- Article
- Role of Neutrophil CD64 Index as a Screening Marker for Late-Onset Sepsis in Very Low Birth Weight Infants.PloS one · 2015Article
- Neonatal physiological correlates of near-term brain development on MRI and DTI in very-low-birth-weight preterm infants.NeuroImage. Clinical · 2014Article
- Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis.PloS one · 2014Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We address the identification of optimal biomarkers for the rapid diagnosis of neonatal sepsis. We employ both canonical correlation analysis (CCA) and sparse support vector machine (SSVM) classifiers to select the best subset of biomarkers from a large hematological data set collected from infants with suspected sepsis from Yale-New Haven Hospital's Neonatal Intensive Care Unit (NICU). CCA is used to select sets of biomarkers of increasing size that are most highly correlated with infection. The effectiveness of these biomarkers is then validated by constructing a sparse support vector machine diagnostic classifier. We find that the following set of five biomarkers capture the essential diagnostic information (in order of importance): Bands, Platelets, neutrophil CD64, White Blood Cells, and Segs. Further, the diagnostic performance of the optimal set of biomarkers is significantly higher than that of isolated individual biomarkers. These results suggest an enhanced sepsis scoring system for neonatal sepsis that includes these five biomarkers. We demonstrate the robustness of our analysis by comparing CCA with the Forward Selection method and SSVM with LASSO Logistic Regression.
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