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Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study

OBJECTIVE: Young febrile infants represent a vulnerable population at risk for serious bacterial infections (SBI). We aimed to evaluate the diagnostic accuracy of components of the complete blood count in comparison with C-reactive protein (CRP) to predict SBI among febrile infants. DESIGN AND SETTI...

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Autores principales: Chang, Serena Su Ying, Lim, Amanda Zhirui, Ong, Gene Yong-Kwang, Piragasam, Rupini, Allen, John Carson, Ng, Kee Chong, Maconochie, Ian, Chong, Shu-Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818843/
https://www.ncbi.nlm.nih.gov/pubmed/34192187
http://dx.doi.org/10.1136/bmjpo-2020-000861
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author Chang, Serena Su Ying
Lim, Amanda Zhirui
Ong, Gene Yong-Kwang
Piragasam, Rupini
Allen, John Carson
Ng, Kee Chong
Maconochie, Ian
Chong, Shu-Ling
author_facet Chang, Serena Su Ying
Lim, Amanda Zhirui
Ong, Gene Yong-Kwang
Piragasam, Rupini
Allen, John Carson
Ng, Kee Chong
Maconochie, Ian
Chong, Shu-Ling
author_sort Chang, Serena Su Ying
collection PubMed
description OBJECTIVE: Young febrile infants represent a vulnerable population at risk for serious bacterial infections (SBI). We aimed to evaluate the diagnostic accuracy of components of the complete blood count in comparison with C-reactive protein (CRP) to predict SBI among febrile infants. DESIGN AND SETTING: Prospective cohort study conducted in a tertiary emergency department between December 2018 and November 2019. PATIENTS: We included febrile infants ≤3 months old with complete blood count results. We analysed their white blood cell count (WBC), absolute neutrophil ratio (ANC), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio, mean platelet volume to platelet count ratio, and compared these to the performance of CRP. MAIN OUTCOME MEASURES: SBIs were defined as urinary tract infection, bacteraemia, bacterial meningitis, sepsis, pneumonia, skin and soft tissue infection, bacterial enteritis, septic arthritis or osteomyelitis. RESULTS: Of the 187 infants analysed, 54 (28.9%) were diagnosed with SBI. Median values of WBC, ANC, NLR and CRP were significantly higher in infants with SBI: WBC (13.8 vs 11.4×10(9)/L, p=0.004), ANC (6.7 vs 4.1×10(9)/L, p<0.001), NLR (1.3 vs 0.9, p=0.001) and CRP (21.0 vs 2.3 mg/L, p<0.001), compared with those without. CRP had the best discriminatory values for SBI, with area under the curve (AUC) of 0.815 (95% CI 0.747 to 0.883), compared with WBC, ANC and NLR. A predictive model consisting of WBC, ANC and NLR in combination with clinical parameters, had an AUC of 0.814 (95% CI 0.746 to 0.883). There was increased discriminative performance when this predictive model was combined with CRP, (AUC of 0.844, 95% CI 0.782 to 0.906). CONCLUSION: In young febrile infants, CRP was the best discriminatory biomarker for SBI. WBC, ANC and NLR when used in combination have potential diagnostic utility in this population.
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spelling pubmed-78188432021-01-25 Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study Chang, Serena Su Ying Lim, Amanda Zhirui Ong, Gene Yong-Kwang Piragasam, Rupini Allen, John Carson Ng, Kee Chong Maconochie, Ian Chong, Shu-Ling BMJ Paediatr Open Accident & Emergency OBJECTIVE: Young febrile infants represent a vulnerable population at risk for serious bacterial infections (SBI). We aimed to evaluate the diagnostic accuracy of components of the complete blood count in comparison with C-reactive protein (CRP) to predict SBI among febrile infants. DESIGN AND SETTING: Prospective cohort study conducted in a tertiary emergency department between December 2018 and November 2019. PATIENTS: We included febrile infants ≤3 months old with complete blood count results. We analysed their white blood cell count (WBC), absolute neutrophil ratio (ANC), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio, mean platelet volume to platelet count ratio, and compared these to the performance of CRP. MAIN OUTCOME MEASURES: SBIs were defined as urinary tract infection, bacteraemia, bacterial meningitis, sepsis, pneumonia, skin and soft tissue infection, bacterial enteritis, septic arthritis or osteomyelitis. RESULTS: Of the 187 infants analysed, 54 (28.9%) were diagnosed with SBI. Median values of WBC, ANC, NLR and CRP were significantly higher in infants with SBI: WBC (13.8 vs 11.4×10(9)/L, p=0.004), ANC (6.7 vs 4.1×10(9)/L, p<0.001), NLR (1.3 vs 0.9, p=0.001) and CRP (21.0 vs 2.3 mg/L, p<0.001), compared with those without. CRP had the best discriminatory values for SBI, with area under the curve (AUC) of 0.815 (95% CI 0.747 to 0.883), compared with WBC, ANC and NLR. A predictive model consisting of WBC, ANC and NLR in combination with clinical parameters, had an AUC of 0.814 (95% CI 0.746 to 0.883). There was increased discriminative performance when this predictive model was combined with CRP, (AUC of 0.844, 95% CI 0.782 to 0.906). CONCLUSION: In young febrile infants, CRP was the best discriminatory biomarker for SBI. WBC, ANC and NLR when used in combination have potential diagnostic utility in this population. BMJ Publishing Group 2021-01-20 /pmc/articles/PMC7818843/ /pubmed/34192187 http://dx.doi.org/10.1136/bmjpo-2020-000861 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Accident & Emergency
Chang, Serena Su Ying
Lim, Amanda Zhirui
Ong, Gene Yong-Kwang
Piragasam, Rupini
Allen, John Carson
Ng, Kee Chong
Maconochie, Ian
Chong, Shu-Ling
Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study
title Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study
title_full Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study
title_fullStr Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study
title_full_unstemmed Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study
title_short Predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study
title_sort predictors of serious bacterial infections using serum biomarkers in an infant population aged 0 to 90 days: a prospective cohort study
topic Accident & Emergency
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818843/
https://www.ncbi.nlm.nih.gov/pubmed/34192187
http://dx.doi.org/10.1136/bmjpo-2020-000861
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