TY - JOUR
T1 - Factors associated with positive blood cultures in children in nine African and Asian countries
T2 - the ACORN2 surveillance network
AU - Ardura-Garcia, Cristina
AU - Hopkins, Jill
AU - Lee, Sue J
AU - Waithira, Naomi
AU - Painter, Chris
AU - Ling, Clare L
AU - Roberts, Tamalee
AU - Miliya, Thyl
AU - Obeng-Nkrumah, Noah
AU - Opintan, Japheth A
AU - Abbeyquaye, Emmanuel P
AU - Hamers, Raph L.
AU - Saharman, Yulia R
AU - Sinto, Robert
AU - Karyanti, Mulya R
AU - Ibrahim, R Fera
AU - Akech, Samuel O
AU - Duangnouvong, Anousone
AU - Choumlivong, Khamla
AU - Feasey, Nicholas A
AU - Kululanga, Diana
AU - Lissauer, Samantha
AU - Karkey, Abhilasha
AU - Kunwar, Narayan
AU - Erakhaiwu, Justice E
AU - Okeke, Iruka N
AU - Adebiyi, Ini
AU - Oduola, Abiodun B
AU - Ogunbosi, Babatunde O
AU - Tongo, Olukemi O
AU - Ude, Ifeoma A
AU - Aboderin, Oladipo
AU - Adeyemo, Adeyemi T
AU - Edward, Sylvester S
AU - Osagie, Ugowe
AU - Nguyen Thi, Hoa
AU - Thach, Pham Ngoc
AU - Giang, Tran Van
AU - Hoang Thi, Lan Huong
AU - Trinh, Huu Tung
AU - van Doorn, H. Rogier
AU - Ashley, Elizabeth A
AU - Turner, Paul
N1 - Funding: This research was funded in whole by the Wellcome Trust [222156/Z/20/Z]. CAG was funded by a Postdoctoral Mobility Fellowship from the Swiss National Science Foundation (grant number P500PM_217605).
PY - 2025/10
Y1 - 2025/10
N2 - Background 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.Methods 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.Results 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.Conclusion 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.
AB - Background 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.Methods 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.Results 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.Conclusion 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.
KW - Global Health
KW - Africa South of the Sahara
KW - Paediatrics
KW - Blood disorders
KW - Other diagnostic or tool
U2 - 10.1136/bmjgh-2025-020448
DO - 10.1136/bmjgh-2025-020448
M3 - Article
SN - 2059-7908
VL - 10
SP - 1
EP - 13
JO - BMJ Global Health
JF - BMJ Global Health
IS - 10
M1 - e020448
ER -