Update to the Neonatal Early-Onset Sepsis Calculator Utilizing a Contemporary Cohort.

IF 6.2 2区 医学 Q1 PEDIATRICS Pediatrics Pub Date : 2024-10-01 DOI:10.1542/peds.2023-065267
Michael W Kuzniewicz, Gabriel J Escobar, Heather Forquer, Sherian Li, Di Shu, Patricia Kipnis, Allen Fischer, Karen M Puopolo
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Abstract

Background and objectives: The Kaiser Permanente Neonatal Early-Onset Sepsis (EOS) Calculator has been an effective tool for risk stratification to safely reduce newborn antibiotic exposure. The calculator was derived from data on infants born between 1993 and 2007. Since that time, US obstetric practice has adopted universal antepartum screening for group B Streptococcus and intrapartum antibiotic prophylaxis guidance has changed. Our objective was to update the EOS calculator using a contemporary birth cohort and determine the effect of these changes on EOS case ascertainment and antibiotic recommendations.

Methods: The study included infants born at ≥35 weeks' gestation at 14 hospitals between January 2010 and December 2020 (n = 412 595 infants, EOS cases = 113). Model coefficients were re-estimated and the point estimates of the likelihood ratios for clinical status used to calculate the posterior probability of EOS. We compared the number of EOS cases correctly identified by each model (sensitivity) and the proportion of infants for whom empirical antibiotics are recommended.

Results: The original model had a sensitivity of 0.76 (95% confidence interval 0.63-0.85), while the updated model had a sensitivity of 0.80 (95% confidence interval 0.68-0.89), P = .15. The recommended empirical antibiotic use was 3.5% with the original model and 3.7% with the updated model, P < .0001. For each additional case identified by the updated model, an additional 158 infants would be treated with antibiotics.

Conclusions: Both the original and updated EOS calculators are effective tools for quantifying EOS risk among infants born at ≥35 weeks' gestation.

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利用当代队列更新新生儿早发败血症计算器。
背景和目标:Kaiser Permanente 新生儿早发败血症 (EOS) 计算器是进行风险分层以安全减少新生儿抗生素暴露的有效工具。该计算器源自 1993 年至 2007 年间出生的婴儿数据。从那时起,美国的产科实践开始普遍采用产前 B 群链球菌筛查,产前抗生素预防指南也发生了变化。我们的目的是利用当代出生队列更新 EOS 计算器,并确定这些变化对 EOS 病例确定和抗生素建议的影响:研究对象包括 2010 年 1 月至 2020 年 12 月期间在 14 家医院出生的妊娠期≥35 周的婴儿(n = 412 595 名婴儿,EOS 病例 = 113 例)。我们对模型系数进行了重新估计,并使用临床状态似然比的点估计值来计算 EOS 的后验概率。我们比较了每个模型正确识别的 EOS 病例数(灵敏度)和建议使用经验性抗生素的婴儿比例:原始模型的灵敏度为 0.76(95% 置信区间为 0.63-0.85),而更新模型的灵敏度为 0.80(95% 置信区间为 0.68-0.89),P = .15。原始模型推荐的经验性抗生素使用率为 3.5%,更新模型为 3.7%,P < .0001。更新后的模型每多发现一个病例,就会有 158 名婴儿接受抗生素治疗:结论:原始和更新的 EOS 计算器都是量化妊娠≥35 周出生婴儿 EOS 风险的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pediatrics
Pediatrics 医学-小儿科
CiteScore
12.80
自引率
5.00%
发文量
791
审稿时长
2-3 weeks
期刊介绍: The Pediatrics® journal is the official flagship journal of the American Academy of Pediatrics (AAP). It is widely cited in the field of pediatric medicine and is recognized as the leading journal in the field. The journal publishes original research and evidence-based articles, which provide authoritative information to help readers stay up-to-date with the latest developments in pediatric medicine. The content is peer-reviewed and undergoes rigorous evaluation to ensure its quality and reliability. Pediatrics also serves as a valuable resource for conducting new research studies and supporting education and training activities in the field of pediatrics. It aims to enhance the quality of pediatric outpatient and inpatient care by disseminating valuable knowledge and insights. As of 2023, Pediatrics has an impressive Journal Impact Factor (IF) Score of 8.0. The IF is a measure of a journal's influence and importance in the scientific community, with higher scores indicating a greater impact. This score reflects the significance and reach of the research published in Pediatrics, further establishing its prominence in the field of pediatric medicine.
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