Related Experiment Video

Updated: May 6, 2026

Non-Invasive Model of Neuropathogenic Escherichia coli Infection in the Neonatal Rat
08:27

Non-Invasive Model of Neuropathogenic Escherichia coli Infection in the Neonatal Rat

Published on: October 29, 2014

10.9K

Predicting purulent meningitis in very preterm infants: a novel clinical model

Xiaowei Sun1, Rui Jing2, Yang Li3

  • 1Department of Pediatrics, Qilu Hospital, Shandong University, No.107, West Culture Road, Lixia District, Jinan City, Shandong Province, 250000, China.

BMC Pediatrics
|January 4, 2025
PubMed
Abstract

Insights

A new nomogram predicts purulent meningitis (PM) risk in very preterm infants using perinatal factors. This tool aids early identification and may reduce invasive lumbar punctures for neonates.

Area of Science:

  • Neonatal Medicine
  • Infectious Diseases
  • Clinical Prediction Modeling

Background:

  • Purulent meningitis (PM) is a serious neonatal infection with high mortality.
  • Nonspecific symptoms in newborns complicate PM diagnosis.
  • Very preterm infants present unique diagnostic challenges for PM.

Purpose of the Study:

  • To develop a clinical prediction model for assessing PM risk in very preterm infants.
  • To utilize perinatal factors for a convenient and effective risk assessment tool.
  • To aid clinicians in early diagnosis and treatment strategies for neonatal PM.

Main Methods:

  • Study included very preterm infants (gestational age < 32 weeks) from January 2020 to December 2023.
  • Data on maternal health and infant clinical features were collected.
  • A predictive model was developed using stepwise regression and multivariate logistic analysis.

Main Results:

  • A total of 201 preterm infants were enrolled; 90 were diagnosed with PM.
  • Key influencing factors identified: birth weight, PCT within 24h, cesarean delivery, premature rupture of membranes.
  • A validated risk prediction nomogram demonstrated high accuracy (concordance index: 0.849).

Conclusions:

  • A personalized nomogram was developed and validated for early PM prediction in very preterm infants.
  • This practical model can help identify high-risk neonates.
  • The nomogram may reduce the need for unnecessary lumbar puncture procedures.
Keywords:
Predictive modelPurulent meningitisRisk factorsVery preterm infants

More Related Videos

Modeling Encephalopathy of Prematurity Using Prenatal Hypoxia-ischemia with Intra-amniotic Lipopolysaccharide in Rats07:36

Modeling Encephalopathy of Prematurity Using Prenatal Hypoxia-ischemia with Intra-amniotic Lipopolysaccharide in Rats

Published on: November 20, 2015

11.2K
A Neonatal Imaging Model of Gram-Negative Bacterial Sepsis08:46

A Neonatal Imaging Model of Gram-Negative Bacterial Sepsis

Published on: August 12, 2020

6.2K

Related Concept Videos

Bacterial Meningitis I: Introduction01:22

Bacterial Meningitis I: Introduction

Bacterial meningitis is a severe, life-threatening inflammation of the meninges, particularly the pia mater and arachnoid mater, affecting the subarachnoid space, ventricles, and cerebrospinal fluid (CSF). If untreated, it can lead to significant neurological complications or death.Causative AgentsCommon pathogens vary with age and immune status. In adults, major organisms include Streptococcus pneumoniae, Neisseria meningitidis, and Haemophilus influenzae. Streptococcus agalactiae (group B...
32
Bacterial Meningitis II: Pathophysiology01:26

Bacterial Meningitis II: Pathophysiology

Bacterial meningitis typically begins when pathogens such as Neisseria meningitidis and Streptococcus pneumoniae colonize the nasopharynx and invade the bloodstream. This process is facilitated by bacterial virulence factors, such as polysaccharide capsules, which resist phagocytosis and complement-mediated killing. Less commonly, bacteria reach the central nervous system via contiguous spread from infections like otitis media or sinusitis, through congenital or acquired dural defects, or...
49