一个全面的模型,用于预测发烧的婴儿年龄为7-60天的侵袭性细菌感染
Dustin W Ballard1,2, Jie Huang3, Adam L Sharp4
1The Permanente Medical Group, Oakland, CA, USA. Dustin.Ballard@kp.org.
Pediatric research
|April 4, 2024
概括
一个新的机器学习模型准确地预测了发烧的婴儿的侵入性细菌感染,包括那些有复杂病例的婴儿. 这种先进的工具有助于早期发现和治疗幼儿严重感染.
科学领域:
- 儿科急救医学 儿科急救医学
- 传染性疾病 传染性疾病
- 医疗保健中的机器学习
背景情况:
- 发烧婴儿的侵入性细菌感染 (IBIs) 是罕见但严重的.
- 现有的风险分层协议可能会排除某些特征的婴儿.
- 需要一个全面的,包容性的IBI预测模型.
研究的目的:
- 导出和验证一个预测模型,用于发烧的婴儿在7-60天的侵袭性细菌感染 (IBIs).
- 开发一个全面的模型,解决现有算法的局限性.
- 评估用于IBI预测的机器学习方法的临床实用性.
主要方法:
- 从37个急诊室 (EDs) 对发烧的婴儿 (温度>=100.4°F) 进行血和尿液培养的回顾性数据抽象.
- 使用80/20数据集分割和10倍交叉验证开发和验证预测模型.
- 使用精度回忆曲线和XGBoost进行模型性能评估.
主要成果:
- 分析了4411名婴儿;29%的婴儿有特征使其不符合当前的协议.
- 确定了196例 (4.4%) 的IBI病例,其中43例 (1.0%) 是细菌性脑膜炎.
- XGBoost模型实现了最高的性能 (AUC 0.84),主要预测因素包括白细胞计数,温度和中性粒细胞计数.
结论:
- 一个机器学习模型 (XGBoost) 能够有效地预测发烧的婴儿罕见的侵入性细菌感染.
- 与现有方法相比,该模型表现出卓越的性能和包容性.
- 开发的模型显示了在急诊室临床应用的巨大潜力.
相关概念视频
Factors Affecting the Risk of Infection
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin create...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin create...
Bacterial Meningitis I: Introduction
Bacterial meningitis is a severe, life-threatening inflammation of the meninges, particularly the pia mater and arachnoid mater, affecting the subarachnoid space, ventricles, and cerebrospinal fluid (CSF). If untreated, it can lead to significant neurological complications or death.Causative AgentsCommon pathogens vary with age and immune status. In adults, major organisms include Streptococcus pneumoniae, Neisseria meningitidis, and Haemophilus influenzae. Streptococcus agalactiae (group B...


