ArticlePloS one2014
The temporal version of the pediatric sepsis biomarker risk model.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Global Case-Fatality Rates in Pediatric Severe Sepsis and Septic Shock: A Systematic Review and Meta-analysis.JAMA pediatrics · 2019Pooled it
- The Pediatric Sepsis Biomarker Risk Model (PERSEVERE) Biomarkers Predict Clinical Deterioration and Mortality in Immunocompromised Children Evaluated for Infection.Scientific reports · 2019Trial
- Candidate Biomarkers for the Detection of Serious Infections in Children: A Prospective Clinical Study.Children (Basel, Switzerland) · 2022Article
- Hydrocortisone treatment is associated with a longer duration of MODS in pediatric patients with severe sepsis and immunoparalysis.Critical care (London, England) · 2020Article
- Rapid, multiplexed detection of biomolecules using electrically distinct hydrogel beads.Lab on a chip · 2020Article
- Markers of Endothelial Dysfunction and Cytokines in High-Risk Pediatric Patients with Severe Sepsis.American journal of respiratory and critical care medicine · 2020Article
- Biomarkers in pediatric acute respiratory distress syndrome.Annals of translational medicine · 2019Review
- Sepsis Biomarkers.Journal of pediatric intensive care · 2019Review
- Evidence of Endotypes in Pediatric Acute Hypoxemic Respiratory Failure Caused by Sepsis.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2019Article
- Hypofibrinogenemia Is Associated With Poor Outcome and Secondary Hemophagocytic Lymphohistiocytosis/Macrophage Activation Syndrome in Pediatric Severe Sepsis.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2018Observational
- Face and content validity of variables associated with the difficult-to-sedate child in the paediatric intensive care unit: A survey of paediatric critical care clinicians.Australian critical care : official journal of the Confederation of Australian Critical Care Nurses · 2018Article
- Emerging Technologies for Molecular Diagnosis of Sepsis.Clinical microbiology reviews · 2018Review
- Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.Scientific reports · 2017Article
- Improved Risk Stratification in Pediatric Septic Shock Using Both Protein and mRNA Biomarkers. PERSEVERE-XP.American journal of respiratory and critical care medicine · 2017Observational
- A Biosignature Predicting Complicated Course in Children Presenting with Septic Shock. Why PERSEVERE?American journal of respiratory and critical care medicine · 2017Article
- Review
- An Enrichment Strategy For Sepsis Clinical Trials.Shock (Augusta, Ga.) · 2016Article
- Emerging infection and sepsis biomarkers: will they change current therapies?Expert review of anti-infective therapy · 2016Review
- Sepsis in Pediatric Cardiac Intensive Care.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2016Review
- Development and Validation of a Disease Severity Scoring Model for Pediatric Sepsis.Iranian journal of public health · 2016Article
Corrections and comments
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Authors and funding
25 authors at 19 institutions in 1 country.
Funding
Abstract
backgroundPERSEVERE is a risk model for estimating mortality probability in pediatric septic shock, using five biomarkers measured within 24 hours of clinical presentation.
objectiveHere, we derive and test a temporal version of PERSEVERE (tPERSEVERE) that considers biomarker values at the first and third day following presentation to estimate the probability of a "complicated course", defined as persistence of ≥2 organ failures at seven days after meeting criteria for septic shock, or death within 28 days.
methodsBiomarkers were measured in the derivation cohort (n = 225) using serum samples obtained during days 1 and 3 of septic shock. Classification and Regression Tree (CART) analysis was used to derive a model to estimate the risk of a complicated course. The derived model was validated in the test cohort (n = 74), and subsequently updated using the combined derivation and test cohorts.
resultsA complicated course occurred in 23% of the derivation cohort subjects. The derived model had a sensitivity for a complicated course of 90% (95% CI 78-96), specificity was 70% (62-77), positive predictive value was 47% (37-58), and negative predictive value was 96% (91-99). The area under the receiver operating characteristic curve was 0.85 (0.79-0.90). Similar test characteristics were observed in the test cohort. The updated model had a sensitivity of 91% (81-96), a specificity of 70% (64-76), a positive predictive value of 47% (39-56), and a negative predictive value of 96% (92-99).
conclusionstPERSEVERE reasonably estimates the probability of a complicated course in children with septic shock. tPERSEVERE could potentially serve as an adjunct to physiological assessments for monitoring how risk for poor outcomes changes during early interventions in pediatric septic shock.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.