Evidence map›Paper›PMID 30675002›Full record

Trial reportScientific reports2019

The Pediatric Sepsis Biomarker Risk Model (PERSEVERE) Biomarkers Predict Clinical Deterioration and Mortality in Immunocompromised Children Evaluated for Infection.

L Jacobs, Z Berrens, E K Stenson, M W Zackoff, L A Danziger, P Lahni, H R Wong

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05311046 (Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics), which is not on this map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

NCT05311046 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Biomarker-enhanced Artificial Intelligence Based Pediatric Sepsis Screening Tool Towards Early Recognition and Personalized Therapeutics

TypeobservationalSponsorComputer Technology Associates, Inc.Ran2026 to 2029Enrolled12,961ConditionsSepsisArmsPediatric sepsis screening tool (either algorithmic or manual)
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Role of biomarkers in pediatric sepsis: What evidence says?World journal of clinical pediatrics · 2026
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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

7 authors.

L JacobsDivision of Pediatric Critical Care, Texas Children's Hospital, 6651 Main St. E1470.36, Houston, TX, 77030, USA. ljacobs@post.harvard.edu.ORCID 0000-0003-1770-2861
Z BerrensDivision of Pediatric Critical Care, Riley Hospital for Children at the University of Indiana Health, 705 Riley Hospital Dr., Indianapolis, IN, 46202, USA.ORCID 0000-0001-9756-9751
E K StensonDivision of Pediatric Critical Care, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave MLC 2005, Cincinnati, OH, 45229, USA.
M W ZackoffDivision of Pediatric Critical Care, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave MLC 2005, Cincinnati, OH, 45229, USA.
L A DanzigerDivision of Pediatric Infectious Disease, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave MLC 7017, Cincinnati, OH, 45229, USA.
P LahniDivision of Pediatric Critical Care, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave MLC 2005, Cincinnati, OH, 45229, USA.
H R WongDivision of Pediatric Critical Care, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave MLC 2005, Cincinnati, OH, 45229, USA.

Funding

Supplement for MIRA award_Wong_2021R35GM126943 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI ALDER, MATTHEW N · 2018 to 2022
$2.7M
Novel diagnostic and stratification tools for septic shockR01GM108025 · NIGMS · CINCINNATI CHILDRENS HOSP MED CTR · PI WONG, HECTOR R. · 2014 to 2017
$2.3M
NIGMS NIH HHS R01 GM108025NIGMS NIH HHS R35 GM126943
6 · The paper itself

Abstract

Pediatric sepsis and bacterial infection cause significant morbidity and mortality worldwide, with immunocompromised patients being at particularly high risk of rapid deterioration and death. This study evaluated if PERSEVERE, PERSEVERE-II, or the PERSEVERE biomarkers, can reliably estimate the risk of clinical deterioration and 28-day mortality among immunocompromised pediatric patients. This is a single-center prospective cohort study conducted from July 2016 through September 2017 incorporating 400 episodes of suspected bacterial infection from the inpatient units at Cincinnati Children's Hospital Medical Center, a large, tertiary care children's hospital. The primary analysis assessed clinical deterioration within 72 hours of evaluation for infection. Secondarily, we assessed 28-day mortality. Clinical deterioration was seen in 15% of subjects. Twenty-eight day mortality was 5%, but significantly higher among critically ill patients. Neither PERSEVERE nor PERSEVERE-II performed well to predict clinical deterioration or 28-day mortality, thus we derived new stratification models using the PERSEVERE biomarkers with both high sensitivity and negative predictive value. In conclusion, we evaluated previously validated biomarker risk models in a novel population of largely non-critically ill immunocompromised pediatric patients, and attempted to stratify patients based on a new outcome metric, clinical deterioration. The new highly predictive models indicate common physiologic pathways to clinical deterioration or death from bacterial infection.

Indexed as

Bacterial InfectionsImmunocompromised HostModels, BiologicalSepsisAdolescentBiomarkersChildChild, PreschoolFemaleFollow-Up StudiesHumansMaleProspective StudiesRisk AssessmentBiomarkers

Identifiers

PMID30675002
PMCPMC6344559

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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.