# Factors associated with positive blood cultures in children in nine African and Asian countries: the ACORN2 surveillance network

**Authors:** Cristina Ardura-Garcia, Jill Hopkins, Sue J Lee, Naomi Waithira, Chris Painter, Clare L Ling, Tamalee Roberts, Thyl Miliya, Noah Obeng-Nkrumah, Japheth A Opintan, Emmanuel P Abbeyquaye, Raph L. Hamers, Yulia R Saharman, Robert Sinto, Mulya R Karyanti, R Fera Ibrahim, Samuel O Akech, Anousone Duangnouvong, Khamla Choumlivong, Nicholas A Feasey, Diana Kululanga, Samantha Lissauer, Abhilasha Karkey, Narayan Kunwar, Justice E Erakhaiwu, Iruka N Okeke, Ini Adebiyi, Abiodun B Oduola, Babatunde O Ogunbosi, Olukemi O Tongo, Ifeoma A Ude, Oladipo Aboderin, Adeyemi T Adeyemo, Sylvester S Edward, Ugowe Osagie, Hoa Nguyen Thi, Pham Ngoc Thach, Tran Van Giang, Lan Huong Hoang Thi, Huu Tung Trinh, H. Rogier van Doorn, Elizabeth A Ashley, Paul Turner

PMC · DOI: 10.1136/bmjgh-2025-020448 · BMJ Global Health · 2025-10-20

## TL;DR

This study identifies factors that increase the likelihood of positive blood cultures in hospitalized children in low- and middle-income countries.

## Contribution

The study provides a model to prioritize blood culture use in children based on clinical and demographic factors.

## Key findings

- Blood cultures had a low diagnostic yield with true pathogens in only 4.5% of cases.
- Children aged 5–18 years and those with severe clinical signs were more likely to have positive blood cultures.
- Hospital-acquired infections and non-respiratory infections increased the likelihood of positive blood culture results.

## Abstract

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.

## Full-text entities

- **Diseases:** genitourinary infection (MESH:D014564), infection (MESH:D007239), sepsis (MESH:D018805), respiratory infections (MESH:D012141)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

79 references — full list in the complete paper: https://tomesphere.com/paper/PMC12542579/full.md

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Source: https://tomesphere.com/paper/PMC12542579