Evidence map›Paper›PMID 42709435›Full record

Observational studyJAMA network open2026

Heterogeneity of Critical Organ Dysfunction During Late-Onset Bacteremia in Preterm Infants.

Star Liu, Ethan Missigman, Faris N Al Gharaibeh, Woo Yeon Park, Brooke Lawler, Jordan R Kuiper, Kartikeya Makker, Alvaro G Moreira, James L Wynn, Khyzer B Aziz

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Star LiuDepartment of General Internal Medicine, Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, Maryland.
Ethan MissigmanCollege of Medicine, University of Florida, Gainesville.
Faris N Al GharaibehDivision of Neonatology, Cincinnati Children's Hospital Medical Center, Ohio.
Woo Yeon ParkDepartment of General Internal Medicine, Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, Maryland.
Brooke LawlerDepartment of General Internal Medicine, Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, Maryland.
Jordan R KuiperDepartment of Environmental & Occupational Health, George Washington University, Washington, DC.
Kartikeya MakkerDepartment of Pediatrics, Johns Hopkins University, Baltimore, Maryland.
Alvaro G MoreiraDepartment of Pediatrics, University of Texas Health Science Center at San Antonio.
James L WynnDepartment of Pediatrics, University of Florida, Gainesville.
Khyzer B AzizDepartment of General Internal Medicine, Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Late-onset sepsis in preterm infants is predominantly defined by bacteremia. Although binary classifications are critical for pathogen epidemiology and antibiotic stewardship efforts, they limit more granular understanding of the severity or organ dysfunction trajectory as experienced by individual infants. Objective: To quantify the heterogeneity of illness severity and organ dysfunction during late-onset sepsis episodes in preterm infants. Design, Setting, and Participants: Multicenter cohort study of first episodes of late-onset single-pathogen bacteremia in infants at 33 weeks' gestation or less at 4 academic neonatal intensive care units (January 2012 to February 2025). Main Outcomes and Measures: Neonatal Sequential Organ Failure Assessment (nSOFA) scores were calculated hourly from 48 hours before the index blood culture through 14 days after episode onset or death. Organ dysfunction trajectories, magnitude of change, severity, cumulative illness burden, and tempo (onset timing and topography) of burden accumulation across episodes were characterized, including those attributed to the same pathogen. Results: This study identified first episodes of late-onset bacteremia in 221 preterm infants (median gestational age, 27 weeks [IQR, 25-29 weeks]; birth weight, 840 g [IQR, 650-1210 g]; 116 [52%] male). Organ dysfunction at evaluation was frequently minimal among survivors (median nSOFA, 1; IQR, 0-3), yet subsequent trajectories varied markedly across episodes. Organ dysfunction change over time (median change in nSOFA of 3 [IQR, 0-6] and 0 [IQR, 2-7] by Gram stain, negative vs positive), peak severity (median maximum nSOFA of 6 [IQR, 1-9] and 3 [IQR, 0-9] by Gram stain), cumulative burden (median cumulative nSOFA of 311 [IQR, 0-666] and 238 [IQR, 0-531] by Gram stain), and temporal dispersion (70% minimum coefficient of variation) showed wide variability across episodes, even among those of the same pathogen. By 168 hours, cumulative burden remained highly dispersed, with some survivors accumulating minimal burden and others reaching substantial burden (median cumulative nSOFA, 250 hours [IQR, 0-600 hours]) as early as 24 hours. Conclusions and Relevance: In this cohort study of late-onset single-pathogen bacteremia in infants at 33 weeks' gestation or less, late-onset bacteremia in preterm infants was associated with substantial heterogeneity in the severity and temporal course of critical organ dysfunction. Characterization of organ dysfunction dynamics may provide a more informative framework for studying neonatal sepsis than binary microbiologic classifications alone.

Indexed as

BacteremiaInfant, PrematureMultiple Organ FailureNeonatal SepsisCohort StudiesFemaleGestational AgeHumansInfant, NewbornIntensive Care Units, NeonatalMaleOrgan Dysfunction ScoresSeverity of Illness Index

Identifiers

PMID42709435
PMCPMC13555361

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.