Prediction of neonatal sepsis in Hakka population: PCT time interval analysis and nomogram model incorporating perinatal factors and disease characteristics

This study confirms the critical role of PCT in the early diagnosis of neonatal sepsis and proposes a time-sensitive predictive model specifically tailored to the Hakka population, offering clinicians a personalized risk assessment tool. Nonetheless, further external validation is required to fully establish the clinical applicability of this model.

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Publication Details

Journal
The Journal of Maternal-Fetal & Neonatal Medicine
Published
2025-07-16
DOI
https://doi.org/10.1080/14767058.2025.2532091
Primary Topic
Neonatal and Maternal Infections
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of neonatal sepsis in Hakka population: PCT time interval analysis and nomogram model incorporating perinatal factors and disease characteristics

Kun Wu, Ping Liu, Jia Wang, Ao Zhenzhen
The Journal of Maternal-Fetal & Neonatal Medicine
Neonatal and Maternal Infections
article

Prediction of neonatal sepsis in Hakka population: PCT time interval analysis and nomogram model incorporating perinatal factors and disease characteristics

Kun Wu, Ping Liu, Jia Wang, Ao Zhenzhen
article en

Abstract

This study confirms the critical role of PCT in the early diagnosis of neonatal sepsis and proposes a time-sensitive predictive model specifically tailored to the Hakka population, offering clinicians a personalized risk assessment tool. Nonetheless, further external validation is required to fully establish the clinical applicability of this model.

The Journal of Maternal-Fetal & Neonatal MedicineVol. 38(1)
Women's and Children's Hospital (AU)
Guangdong Science and Technology Department
Good health and well-being
Openalex Percentile: Top 76%
Neonatal and Maternal Infections
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