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Development and Validation of a Machine Learning Algorithm-based Risk Prediction Model for Purulent Meningitis in Preterm Infants

Development and Validation of a Machine Learning Algorithm-based Risk Prediction Model for Purulent Meningitis in Preterm Infants

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500110005
Enrollment
Unknown
Registered
2025-09-28
Start date
2025-10-01
Completion date
Unknown
Last updated
2025-10-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Neonatal sepsis

Interventions

Index test:Multimodal Predictive Model

Sponsors

Affiliated Hospital of Jining Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Meet the diagnostic criteria for neonatal sepsis specified in the Expert Consensus on Diagnosis and Treatment of Neonatal Sepsis (2024), including clinical diagnosis and definitive diagnosis. (1) Clinical diagnosis: Presence of abnormal clinical manifestations, plus meeting any one of the following conditions: >= 2 positive results in non-specific blood tests; Cerebrospinal fluid test showing changes consistent with purulent meningitis; Detection of pathogenic bacterial DNA in blood or cerebrospinal fluid. (2) Definitive diagnosis: Presence of abnormal clinical manifestations, plus positive results in blood culture or cerebrospinal fluid (or other sterile cavity fluid) culture.

Exclusion criteria

Exclusion criteria: 1. Presence of severe congenital malformations at birth; 2.Cases with contraindications to lumbar puncture (platelet count < 20,000/µL, clinical bleeding with known bleeding tendency, infection or anatomical defect at the lumbar puncture site, and cardiovascular instability); 3.Failed lumbar puncture or bloody cerebrospinal fluid.

Design outcomes

Primary

MeasureTime frame
Purulent meningitis;

Countries

China

Contacts

Public ContactHuabin Wang

Affiliated Hospital of Jining Medical University

wanghb53@mail2.sysu.edu.cn+86 537 2908139

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026