The evolving value of older biomarkers in the clinical diagnosis of pediatric sepsis

Lim, Peter Paul; Bondarev, Dayle J; Edwards, Amy M.; Hoyen, Claudia M; Macias, Charles G.

doi:10.1038/s41390-022-02190-w

Cited by 6 publications

(10 citation statements)

References 84 publications

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“…This can be illustrated by a study done at PICU in Brazil that showed an increase in mortality associated with unknown vaccination status of pediatric sepsis patients with a relative risk per point increase of 2.57 (23). (26)(27)(28). CRP is an acute phase reactant produced in response to cellular injury during the inflammatory response and is used as a marker of acute inflammation.…”

Section: Regional Heterogeneity Of Pediatric Sepsismentioning

confidence: 99%

“…Among them, C-reactive protein (CRP), erythrocyte sedimentation rate, procalcitonin, and ferritin are the most widely used biomarkers in clinical settings because they are inexpensive and are already used in PICUs in many countries around the world ( 26 – 28 ). CRP is an acute phase reactant produced in response to cellular injury during the inflammatory response and is used as a marker of acute inflammation.…”

Section: Introductionmentioning

confidence: 99%

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Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data

et al. 2023

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Sepsis contributes to 1 of every 5 deaths globally with 3 million per year occurring in children. To improve clinical outcomes in pediatric sepsis, it is critical to avoid “one-size-fits-all” approaches and to employ a precision medicine approach. To advance a precision medicine approach to pediatric sepsis treatments, this review provides a summary of two phenotyping strategies, empiric and machine-learning-based phenotyping based on multifaceted data underlying the complex pediatric sepsis pathobiology. Although empiric and machine-learning-based phenotypes help clinicians accelerate the diagnosis and treatments, neither empiric nor machine-learning-based phenotypes fully encapsulate all aspects of pediatric sepsis heterogeneity. To facilitate accurate delineations of pediatric sepsis phenotypes for precision medicine approach, methodological steps and challenges are further highlighted.

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Section: Regional Heterogeneity Of Pediatric Sepsismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data

et al. 2023

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“…Several studies have previously summarized the progress of research on sepsis markers in children. 3,[18][19][20][21][22][23][24][25] In this study, we reviewed the research progress about pediatric sepsis markers from different levels according to the omics tools used for biomarker identification. Since the neonatal immune response against sepsis is different from that of children, sepsis biomarkers screened by using neonatal samples were not included in this review.…”

Section: Introductionmentioning

confidence: 99%

“…The application of machine learning in studying sepsis biomarkers and the establishment of a model in assessing the risk of death from septic shock could also help to promote the finding of novel biomarkers for sepsis diagnosis and prognosis. Several studies have previously summarized the progress of research on sepsis markers in children 3,18–25 …”

Section: Introductionmentioning

confidence: 99%

Multilevel omics for the discovery of biomarkers in pediatric sepsis

Wang,

Li,

Qian

et al. 2023

Pediatric Investigation

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Severe sepsis causes organ dysfunction and continues to be the leading reason for pediatric death worldwide. Early recognition of sepsis could substantially promote precision treatment and reduce the risk of pediatric death. The host cellular response to infection during sepsis between adults and pediatrics could be significantly different. A growing body of studies focused on finding markers in pediatric sepsis in recent years using multi‐omics approaches. This narrative review summarized the progress in studying pediatric sepsis biomarkers from genome, transcript, protein, and metabolite levels according to the omics technique that has been applied for biomarker screening. It is most likely not a single biomarker could work for precision diagnosis of sepsis, but a panel of markers and probably a combination of markers detected at multi‐levels. Importantly, we emphasize the importance of group distinction of infectious agents in sepsis patients for biomarker identification, because the host response to infection of bacteria, virus, or fungus could be substantially different and thus the results of biomarker screening. Further studies on the investigation of sepsis biomarkers that were caused by a specific group of infectious agents should be encouraged in the future, which will better improve the clinical execution of personalized medicine for pediatric sepsis.

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“…Биомаркеры, такие как CRP, PCT, ферритин и лактат, уже давно используют для диагностики сепсиса у детей [10], в то время как CRP и PCT предложены в качестве предикторов сепсиса [11]. Динамику изменений уровней CRP, PCT и пресепсина используют для оценки эффективности проводимой терапии сепсиса после хирургического лечения и для прогноза исхода заболевания [12].…”

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Биологические Маркеры Сепсиса

Радыгина,

Мочалова

2023

Microbiology Independent Research Journal (MIR Journal)

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В настоящее время проблема ранней диагностики сепсиса, оценки эффективности проводимой терапии и прогноза течения заболевания крайне актуальна. При сепсисе своевременное оказание медицинской помощи осложнено нечеткостью симптомов и отсутствием специфического диагностического теста. В связи с этим во всем мире ведется поиск биологических маркеров сепсиса: диагностических, прогностических и терапевтических. В обзоре суммированы результаты исследований по диагностической ценности биологических маркеров сепсиса, их чувствительности, специфичности и прогностической ценности из научных публикаций, представленных в международных базах данных.

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The evolving value of older biomarkers in the clinical diagnosis of pediatric sepsis

Cited by 6 publications

References 84 publications

Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data

Refining empiric subgroups of pediatric sepsis using machine-learning techniques on observational data

Multilevel omics for the discovery of biomarkers in pediatric sepsis

Биологические Маркеры Сепсиса

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