Enhanced Category-Based Risk Assessment for Neonatal Early-Onset Sepsis: A Prospective Observational Study

被引:1
作者
Lau, Hoi Ying Sharon [1 ]
Wang, Xuelian [2 ]
Wong, Ho Tsun Michelia [3 ]
Lam, Ka Hei Catherine [3 ]
Lam, Hugh Simon [1 ]
机构
[1] Chinese Univ Hong Kong, Fac Med, Dept Paediat, Hong Kong, Peoples R China
[2] Guangzhou Med Univ, Guangzhou Women & Childrens Med Ctr, Guangdong Prov Clin Res Ctr Child Hlth, Dept Neonatol, Guangzhou, Peoples R China
[3] Chinese Univ Hong Kong, Fac Med, Hong Kong, Peoples R China
关键词
Category-based risk assessment; Neonatal sepsis; Newborn infant; INFECTION; MANAGEMENT;
D O I
10.1159/000534091
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Introduction: Compared with multivariate risk assessment, traditional category-based risk assessment (CRA) approaches for neonatal early-onset sepsis (EOS) screening are usually straightforward to use, do not require electronic devices, but are associated with higher rates of antibiotic use. This study aims to evaluate the performance of a novel enhanced CRA (eCRA) framework on EOS admissions and antibiotic use and to investigate whether a modified version with adjustments in risk factor weighting can allow its performance to match the EOS calculator while remaining easy to implement. Method: This is a prospective, single-center, two-phase observational study. Infants of all gestations delivered in a tertiary hospital in Hong Kong with risk factors or clinical features of EOS were recruited. Phase I: A novel eCRA framework (period 2) was compared with the CDC 2010-based protocol (period 1). Phase II: A modified eCRA framework was compared theoretically with the EOS calculator. EOS-specific admissions and antibiotic use were measured. Results: Phase I: 1,025 at-risk infants were recruited during period 2 and compared with 757 infants of period 1. Admissions and antibiotic use decreased from 45.8% to 29.4% and 41.1% to 28.2%, respectively. Antibiotics among those at-risk but well-appearing infants decreased from 25.3% to 16.3% (p < 0.001 for all). Phase II: antibiotic use was similar (7.3 vs. 6.4%, p = 0.42) between the modified eCRA framework and the EOS calculator. Conclusions: An eCRA framework can effectively and safely provide individualized guidance for EOS screening without the need for tools such as the EOS calculator. (c) 2023 The Author(s). Published by S. Karger AG, Basel
引用
收藏
页码:56 / 64
页数:9
相关论文
共 22 条
[11]   A Quantitative, Risk-Based Approach to the Management of Neonatal Early-Onset Sepsis [J].
Kuzniewicz, Michael W. ;
Puopolo, Karen M. ;
Fischer, Allen ;
Walsh, Eileen M. ;
Li, Sherian ;
Newman, Thomas B. ;
Kipnis, Patricia ;
Escobar, Gabriel J. .
JAMA PEDIATRICS, 2017, 171 (04) :365-371
[12]   Development and Implementation of an Early-Onset Sepsis Calculator to Guide Antibiotic Management in Late Preterm and Term Neonates [J].
Kuzniewicz, Michael W. ;
Walsh, Eileen M. ;
Li, Sherian ;
Fischer, Allen ;
Escobar, Gabriel J. .
JOINT COMMISSION JOURNAL ON QUALITY AND PATIENT SAFETY, 2016, 42 (05) :232-239
[13]   Risk Assessment in Neonatal Early Onset Sepsis [J].
Mukhopadhyay, Sagori ;
Puopolo, Karen M. .
SEMINARS IN PERINATOLOGY, 2012, 36 (06) :408-415
[14]  
National Institute for Health and Care Excellence (NICE), Neonatal infection (early onset): antibiotics for prevention and treatment CG149 2012
[15]  
PRYLES CV, 1963, PEDIATRICS, V31, P608
[16]   Management of Neonates Born at ≥35 0/7 Weeks' Gestation With Suspected or Proven Early-Onset Bacterial Sepsis [J].
Puopolo, Karen M. ;
Benitz, William E. ;
Zaoutis, Theoklis E. .
PEDIATRICS, 2018, 142 (06)
[17]   Estimating the Probability of Neonatal Early-Onset Infection on the Basis of Maternal Risk Factors [J].
Puopolo, Karen M. ;
Draper, David ;
Wi, Soora ;
Newman, Thomas B. ;
Zupancic, John ;
Lieberman, Ellice ;
Smith, Myesha ;
Escobar, Gabriel J. .
PEDIATRICS, 2011, 128 (05) :E1155-E1163
[18]   Early-onset group B streptococcal disease in the era of maternal screening [J].
Puopolo, KM ;
Madoff, LC ;
Eichenwald, EC .
PEDIATRICS, 2005, 115 (05) :1240-1246
[19]   Bayesian Method for Water Quality Emergency Monitoring in Environmental Pollution Accident Disposal [J].
Ren, Jia ;
Wang, Xu ;
Li, Guangfu .
BIG DATA, 2023, 11 (02) :117-127
[20]   Clinical chorioamnionitis at term III: how well do clinical criteria perform in the identification of proven intra-amniotic infection? [J].
Romero, Roberto ;
Chaemsaithong, Piya ;
Korzeniewski, Steven J. ;
Kusanovic, Juan P. ;
Docheva, Nikolina ;
Martinez-Varea, Alicia ;
Ahmed, Ahmed I. ;
Yoon, Bo Hyun ;
Hassan, Sonia S. ;
Chaiworapongsa, Tinnakorn ;
Yeo, Lami .
JOURNAL OF PERINATAL MEDICINE, 2016, 44 (01) :23-32