Pathogen distribution, antimicrobial resistance and attributable cost analysis of neonatal sepsis in neonatal intensive care units: a propensity score matching study

NS significantly increases the hospitalization resource consumption in NICUs. This study provides key evidence for optimizing antibiotic use strategies and advancing precision healthcare payment reform, and calls for integrating resistance surveillance with cost-control measures to reduce the health economic impact of NS.

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Publication Details

Journal
Frontiers in Pediatrics
Published
2025-11-19
DOI
https://doi.org/10.3389/fped.2025.1700766
Primary Topic
Neonatal and Maternal Infections
Type
article
Field-Weighted Citation Impact
0.00

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article

Pathogen distribution, antimicrobial resistance and attributable cost analysis of neonatal sepsis in neonatal intensive care units: a propensity score matching study

Xiaorong Luan, Siya Meng, Bingyan Zhang, Fang Xue et al.
Frontiers in Pediatrics
Neonatal and Maternal Infections
article

Pathogen distribution, antimicrobial resistance and attributable cost analysis of neonatal sepsis in neonatal intensive care units: a propensity score matching study

Xiaorong Luan, Siya Meng, Bingyan Zhang, Fang Xue, Zhiwei Wang, Lan Gao, Peiyun Zhou, Zongke Long
article en

Abstract

NS significantly increases the hospitalization resource consumption in NICUs. This study provides key evidence for optimizing antibiotic use strategies and advancing precision healthcare payment reform, and calls for integrating resistance surveillance with cost-control measures to reduce the health economic impact of NS.

Frontiers in PediatricsVol. 13
Shandong University (CN), Qilu Hospital of Shandong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 54%
Neonatal and Maternal Infections
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