Ardura-Garcia Cristina, Hopkins Jill, Lee Sue J, Waithira Naomi, Painter Chris, Ling Clare L, Roberts Tamalee, Miliya Thyl, Obeng-Nkrumah Noah, Opintan Japheth A, Abbeyquaye Emmanuel P, Hamers Raph L, Saharman Yulia R, Sinto Robert, Karyanti Mulya R, Ibrahim R Fera, Akech Samuel O, Duangnouvong Anousone, Choumlivong Khamla, Feasey Nicholas A, Kululanga Diana, Lissauer Samantha, Karkey Abhilasha, Kunwar Narayan, Erakhaiwu Justice E, Okeke Iruka N, Adebiyi Ini, Oduola Abiodun B, Ogunbosi Babatunde O, Tongo Olukemi O, Ude Ifeoma A, Aboderin Oladipo, Adeyemo Adeyemi T, Edward Sylvester S, Osagie Ugowe, Nguyen Thi Hoa, Thach Pham Ngoc, Giang Tran Van, Hoang Thi Lan Huong, Trinh Huu Tung, van Doorn H Rogier, Ashley Elizabeth A, Turner Paul
Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia.
BMJ Glob Health. 2025 Oct 20;10(10):e020448. doi: 10.1136/bmjgh-2025-020448.
Blood culture (BC) in children has relatively low diagnostic yield and high contamination rates, limiting cost-effectiveness. We aimed to determine readily available baseline characteristics to identify hospitalised children with a likelihood of higher diagnostic yield in low- and middle-income countries.
We used data from ACORN2, a prospective clinical surveillance network including 19 hospitals across Africa and Asia. We included participants <18 years, hospitalised for a suspected infection, prescribed parenteral antibiotics and with a BC sample. Sociodemographic and clinical data were recorded for each infection episode and linked to routine microbiology data. We described true pathogen (non-contaminant) BC positivity proportion and performed mixed-effects logistic regression, with study site and patient as the random effect, to identify factors associated with BC positivity.
Of the 26 407 paediatric infection episodes, 17 815 (67%) had a BC sample and 15 384 were included in the analysis. BC results were: true pathogens in 689 (4.5%), contaminants in 1399 (9%) and uncertain pathogens in 143 (0.9%). In the multivariable model, factors associated with a positive BC were age (29 days-12-month-olds OR 1.33, 95% CI 1.06 to 1.66 and 5-18 year-olds OR 1.62, 95% CI 1.30 to 2.01 vs 1-4 year-olds), number of clinical severity signs (OR 1.29, 95% CI 1.18 to 1.40 per one sign) and hospital acquired infection (OR 3.05, 95% CI 2.30 to 4.06 vs community-acquired). Suspected diagnosis of sepsis (OR 2.09, 95% CI 1.67 to 2.61), gastrointestinal/abdominal (OR 2.36, 95% CI 1.78 to 3.13), skin and soft tissue or bone (OR 3.64, 95% CI 2.57 to 5.14) and genitourinary infection (OR 2.22, 95% CI 1.39 to 3.56) were more likely to have a positive BC, compared with respiratory infections.
We confirmed the low BC yield among hospitalised children. We identified groups for which diagnostic stewardship efforts to increase BC uptake should be prioritised and others in which it could be limited in times of financial or logistic constraints.
儿童血培养(BC)的诊断率相对较低且污染率较高,限制了成本效益。我们旨在确定易于获得的基线特征,以识别低收入和中等收入国家中血培养诊断率较高的住院儿童。
我们使用了ACORN2的数据,这是一个前瞻性临床监测网络,包括非洲和亚洲的19家医院。我们纳入了年龄小于18岁、因疑似感染住院、接受静脉抗生素治疗且有血培养样本的参与者。记录了每个感染事件的社会人口统计学和临床数据,并与常规微生物学数据相关联。我们描述了真正病原体(非污染物)血培养阳性比例,并进行了混合效应逻辑回归,将研究地点和患者作为随机效应,以确定与血培养阳性相关的因素。
在26407例儿科感染事件中,17815例(67%)有血培养样本,15384例纳入分析。血培养结果为:真正病原体689例(4.5%),污染物1399例(9%),不确定病原体143例(0.9%)。在多变量模型中,与血培养阳性相关的因素包括年龄(29天至12个月大的儿童:比值比[OR]1.33,95%置信区间[CI]1.06至1.66;5至18岁儿童:OR 1.62,95%CI 1.30至2.01,与1至4岁儿童相比)、临床严重程度体征数量(每增加一个体征,OR 1.29,95%CI 1.18至1.40)以及医院获得性感染(OR 3.05,95%CI 2.30至4.06,与社区获得性感染相比)。与呼吸道感染相比,疑似败血症诊断(OR 2.09,95%CI 1.67至2.61)、胃肠道/腹部感染(OR 2.36,95%CI 1.78至3.13)、皮肤和软组织或骨感染(OR 3.64,95%CI 2.57至5.14)以及泌尿生殖系统感染(OR 2.22,95%CI 1.39至3.56)血培养阳性的可能性更高。
我们证实了住院儿童血培养阳性率较低。我们确定了应优先加强血培养应用的诊断管理措施的群体,以及在财政或后勤限制时期血培养应用可能受限的其他群体。