Categorical Risk Stratification for Neonatal Early Onset Sepsis using Suspected Intraamniotic Infection and the Newborn Exam.


Journal

Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035

Informations de publication

Date de publication:
01 Aug 2023
Historique:
pubmed: 14 8 2023
medline: 14 8 2023
entrez: 14 8 2023
Statut: epublish

Résumé

To determine test characteristics of categorical risk stratification for early onset sepsis (EOS) using maternal criteria for suspected intraamniotic infection (IAI) and/or newborn exam and compare them to the EOS calculator. Retrospective 1:3 case-control study of late preterm/term infants with bacterial culture growth obtained <72 hours of life. For categorical approach, infants of mothers with suspected IAI or equivocal/ill appearing were presumed high-risk for EOS and blood culture obtained. For calculator, estimated probability of EOS and care recommendations were recorded from online calculator. Test characteristics were compared with McNemar's test; recommendation for blood culture was considered a "positive" test. 52 cases and 172 controls were included. Compared to the calculator, the categorical approach had higher sensitivity 90%(95%CI:79-96%) vs 67% (95%CI:54-79%) but lower specificity 85%(95%CI:78-89%) vs. 92%(95%CI:87-96%). 10% of cases were not identified by either. A categorical approach using suspected IAI/newborn exam offers good EOS discrimination and is comparable to the calculator.

Identifiants

pubmed: 37577707
doi: 10.21203/rs.3.rs-2838294/v1
pmc: PMC10418552
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001857
Pays : United States

Déclaration de conflit d'intérêts

Conflicts of Interest: The authors have no conflicts of interest relevant to this article to disclose.

Auteurs

Elizabeth Copp (E)

University of Pittsburgh.

Abigail Buckley (A)

University of Pittsburgh.

Toby Yanowitz (T)

Three Rivers Rowing Association.

Judith Martin (J)

University of Pittsburgh.

Nader Shaikh (N)

University of Pittsburgh.

Galen Switzer (G)

University of Pittsburgh.

Thomas Hooven (T)

University of Pittsburgh.

Richard Beigi (R)

University of Pittsburgh.

Classifications MeSH