Evidence map›Paper›PMID 36513805›Full record

ArticlePediatric research2023

Biomarkers estimating baseline mortality risk for neonatal sepsis: nPERSEVERE: neonate-specific sepsis biomarker risk model.

Faris N Al Gharaibeh, Patrick Lahni, Matthew N Alder, Hector R Wong

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07670624 (T6A Biomarker for Detection of Bacterial Infection in Newborn Infants), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT07670624 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

T6A Biomarker for Detection of Bacterial Infection in Newborn Infants

Typeobservational_patient_registrySponsorSalzburger LandesklinikenRan2026 to 2029Enrolled210ConditionsSepsis, Newborn Sepsis, Biomarker Discovery
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Faris N Al GharaibehDivision of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. Faris.algharaibeh@cchmc.org.
Patrick LahniDivision of Critical Care, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Matthew N AlderDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Hector R WongDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · US

Funding

Supplement for MIRA award_Wong_2021R35GM126943 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI ALDER, MATTHEW N · 2018 to 2022
$2.7M
NIGMS NIH HHS R35 GM126943
6 · The paper itself

Abstract

backgroundPrognostic biomarker research neonatal sepsis is lacking. We assessed the utility of a validated pediatric prognostic tool called PERSEVERE II that uses decision tree methodology to predict mortality at discharge in neonates who experienced sepsis.

methodsProspective study in a dual-center cohort of neonates with sepsis admitted between June 2020 and December 2021. Biomarker analysis was done on serum samples obtained at the time of evaluation for the event.

resultsIn a cohort of 59 neonates with a mortality rate of 15.3%, PERSEVERE II was 67% sensitive and 59% specific for mortality, p 0.27. Amongst PERSEVERE II biomarkers, IL-8 showed good prognostic performance for mortality prediction with a cutoff of 300 pg/mL (sensitivity 100%, specificity 65%, negative predictive value 100%, AUC 0.87, p 0.0003). We derived a new decision tree that is neonate specific (nPERSEVERE) with improved performance compared to IL-8 (sensitivity 100%, specificity 86%, negative predictive value 100%, AUC 0.95, p < 0.0001).

conclusionsIL-8 and nPERSEVERE demonstrated good prognostic performance in a small cohort of neonates with sepsis. Moving toward precision medicine in sepsis, our study proposes an important tool for clinical trial prognostic enrichment that needs to be validated in larger studies. IMPACT: Prognostic and predictive biomarker research is lacking in the newborn intensive care unit. Biomarkers can be used at the time of evaluation for neonatal sepsis (blood culture acquisition) to identify neonates with high baseline mortality risk. Stratification is an important step toward precision medicine in neonatal sepsis.

Indexed as

Neonatal SepsisSepsisBiomarkersChildHumansInfant, NewbornInterleukin-8Prospective StudiesRisk AssessmentBiomarkersInterleukin-8

Identifiers

PMID36513805
PMCPMC10261505
OpenAlexW4311344878

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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.