Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis.
Severe pediatric sepsis continues to be associated with high mortality rates in children. Thus, an important area of biomedical research is to identify biomarkers that can classify sepsis severity and outcomes. The complex and heterogeneous nature of sepsis makes the prospect of the classification o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4178003?pdf=render |
| _version_ | 1811263245255704576 |
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| author | Kun Wang Vineet Bhandari John S Giuliano Corey S O Hern Mark D Shattuck Michael Kirby |
| author_facet | Kun Wang Vineet Bhandari John S Giuliano Corey S O Hern Mark D Shattuck Michael Kirby |
| author_sort | Kun Wang |
| collection | DOAJ |
| description | Severe pediatric sepsis continues to be associated with high mortality rates in children. Thus, an important area of biomedical research is to identify biomarkers that can classify sepsis severity and outcomes. The complex and heterogeneous nature of sepsis makes the prospect of the classification of sepsis severity using a single biomarker less likely. Instead, we employ machine learning techniques to validate the use of a multiple biomarkers scoring system to determine the severity of sepsis in critically ill children. The study was based on clinical data and plasma samples provided by a tertiary care center's Pediatric Intensive Care Unit (PICU) from a group of 45 patients with varying sepsis severity at the time of admission. Canonical Correlation Analysis with the Forward Selection and Random Forests methods identified a particular set of biomarkers that included Angiopoietin-1 (Ang-1), Angiopoietin-2 (Ang-2), and Bicarbonate (HCO[Formula: see text]) as having the strongest correlations with sepsis severity. The robustness and effectiveness of these biomarkers for classifying sepsis severity were validated by constructing a linear Support Vector Machine diagnostic classifier. We also show that the concentrations of Ang-1, Ang-2, and HCO[Formula: see text] enable predictions of the time dependence of sepsis severity in children. |
| first_indexed | 2024-04-12T19:41:19Z |
| format | Article |
| id | doaj.art-ca9fe6fa648d43e49f907591b766eafc |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T19:41:19Z |
| publishDate | 2014-01-01 |
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| spelling | doaj.art-ca9fe6fa648d43e49f907591b766eafc2022-12-22T03:19:04ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0199e10846110.1371/journal.pone.0108461Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis.Kun WangVineet BhandariJohn S GiulianoCorey S O HernMark D ShattuckMichael KirbySevere pediatric sepsis continues to be associated with high mortality rates in children. Thus, an important area of biomedical research is to identify biomarkers that can classify sepsis severity and outcomes. The complex and heterogeneous nature of sepsis makes the prospect of the classification of sepsis severity using a single biomarker less likely. Instead, we employ machine learning techniques to validate the use of a multiple biomarkers scoring system to determine the severity of sepsis in critically ill children. The study was based on clinical data and plasma samples provided by a tertiary care center's Pediatric Intensive Care Unit (PICU) from a group of 45 patients with varying sepsis severity at the time of admission. Canonical Correlation Analysis with the Forward Selection and Random Forests methods identified a particular set of biomarkers that included Angiopoietin-1 (Ang-1), Angiopoietin-2 (Ang-2), and Bicarbonate (HCO[Formula: see text]) as having the strongest correlations with sepsis severity. The robustness and effectiveness of these biomarkers for classifying sepsis severity were validated by constructing a linear Support Vector Machine diagnostic classifier. We also show that the concentrations of Ang-1, Ang-2, and HCO[Formula: see text] enable predictions of the time dependence of sepsis severity in children.http://europepmc.org/articles/PMC4178003?pdf=render |
| spellingShingle | Kun Wang Vineet Bhandari John S Giuliano Corey S O Hern Mark D Shattuck Michael Kirby Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis. PLoS ONE |
| title | Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis. |
| title_full | Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis. |
| title_fullStr | Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis. |
| title_full_unstemmed | Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis. |
| title_short | Angiopoietin-1, angiopoietin-2 and bicarbonate as diagnostic biomarkers in children with severe sepsis. |
| title_sort | angiopoietin 1 angiopoietin 2 and bicarbonate as diagnostic biomarkers in children with severe sepsis |
| url | http://europepmc.org/articles/PMC4178003?pdf=render |
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