Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?

Background: Young infants with a possible serious bacterial infection (SBI) are a very common presentation to emergency centres (ECs). It is often difficult to distinguish clinically between self-limiting viral infections and an SBI. Available evaluation algorithms to assist clinicians are mostly fr...

Full description

Bibliographic Details
Main Authors: Juanita Lishman, Liezl Smit, Andrew Redfern
Format: Article
Language:English
Published: Elsevier 2021-03-01
Series:African Journal of Emergency Medicine
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2211419X20301129
id doaj-3661b659d69f4357a2f31c0102a08f49
record_format Article
spelling doaj-3661b659d69f4357a2f31c0102a08f492021-02-21T04:33:16ZengElsevierAfrican Journal of Emergency Medicine2211-419X2021-03-01111158164Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?Juanita Lishman0Liezl Smit1Andrew Redfern2Corresponding author at: POBox 1945, Mossel Bay, 6500, South Africa.; Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa.Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa.Department of Paediatrics and Child Health, Stellenbosch University, Cape Town, South Africa.Background: Young infants with a possible serious bacterial infection (SBI) are a very common presentation to emergency centres (ECs). It is often difficult to distinguish clinically between self-limiting viral infections and an SBI. Available evaluation algorithms to assist clinicians are mostly from high-income countries. Data to inform clinical practice in low- and middle-income countries are lacking. Objectives: To determine the period prevalence of SBI and invasive bacterial infection (IBI) and describe current practice in the assessment and management of young infants aged 21–90 days presenting with a possible SBI to a Paediatric Emergency centre (PEC) in Cape Town, South Africa. Methods: A retrospective cross-sectional review of infants 21–90 days old presenting to the Tygerberg Hospital PED between 1 January 2016 and 31 May 2016. Results: A total of 248 infants 21–90 days were included in the study. Sixty-two patients (25%, 95% CI 20–30) had an SBI and 13 (5.2%, 95% CI 3–8) had an IBI. One hundred and sixty-five infants had a possible SBI based on WHO IMCI criteria. The sensitivity of the WHO IMCI criteria in detecting SBI was 82.3% (95% CI 70.5–90.8) and the specificity 38.7% (95% CI 31.7–46.1). More than half (51.2%) of the infants received antibiotics within the 48 h prior to presentation, of which 33.5% included intramuscular injection of Ceftriaxone. Only 20 (8.0%) patients in this age group were discharged home after initial evaluation. A significant relationship was noted between fever and the risk of SBI (p-value 0.010) and IBI (p-value 0.009). There also appeared to be a significant relationship between nutritional status and IBI (p-value 0.013). Conclusion: Period prevalence of SBI and IBI was higher compared to that published in the literature. Validated evaluation algorithms to stratify risk of SBI are needed to assist clinicians in diagnosing and managing infants appropriately in low- and middle-income settings.http://www.sciencedirect.com/science/article/pii/S2211419X20301129Serious bacterial infectionInvasive bacterial infectionFeverInfantsEvaluation algorithms
collection DOAJ
language English
format Article
sources DOAJ
author Juanita Lishman
Liezl Smit
Andrew Redfern
spellingShingle Juanita Lishman
Liezl Smit
Andrew Redfern
Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?
African Journal of Emergency Medicine
Serious bacterial infection
Invasive bacterial infection
Fever
Infants
Evaluation algorithms
author_facet Juanita Lishman
Liezl Smit
Andrew Redfern
author_sort Juanita Lishman
title Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?
title_short Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?
title_full Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?
title_fullStr Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?
title_full_unstemmed Infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the South African public health sector?
title_sort infants 21–90 days presenting with a possible serious bacterial infection – are evaluation algorithms from high income countries applicable in the south african public health sector?
publisher Elsevier
series African Journal of Emergency Medicine
issn 2211-419X
publishDate 2021-03-01
description Background: Young infants with a possible serious bacterial infection (SBI) are a very common presentation to emergency centres (ECs). It is often difficult to distinguish clinically between self-limiting viral infections and an SBI. Available evaluation algorithms to assist clinicians are mostly from high-income countries. Data to inform clinical practice in low- and middle-income countries are lacking. Objectives: To determine the period prevalence of SBI and invasive bacterial infection (IBI) and describe current practice in the assessment and management of young infants aged 21–90 days presenting with a possible SBI to a Paediatric Emergency centre (PEC) in Cape Town, South Africa. Methods: A retrospective cross-sectional review of infants 21–90 days old presenting to the Tygerberg Hospital PED between 1 January 2016 and 31 May 2016. Results: A total of 248 infants 21–90 days were included in the study. Sixty-two patients (25%, 95% CI 20–30) had an SBI and 13 (5.2%, 95% CI 3–8) had an IBI. One hundred and sixty-five infants had a possible SBI based on WHO IMCI criteria. The sensitivity of the WHO IMCI criteria in detecting SBI was 82.3% (95% CI 70.5–90.8) and the specificity 38.7% (95% CI 31.7–46.1). More than half (51.2%) of the infants received antibiotics within the 48 h prior to presentation, of which 33.5% included intramuscular injection of Ceftriaxone. Only 20 (8.0%) patients in this age group were discharged home after initial evaluation. A significant relationship was noted between fever and the risk of SBI (p-value 0.010) and IBI (p-value 0.009). There also appeared to be a significant relationship between nutritional status and IBI (p-value 0.013). Conclusion: Period prevalence of SBI and IBI was higher compared to that published in the literature. Validated evaluation algorithms to stratify risk of SBI are needed to assist clinicians in diagnosing and managing infants appropriately in low- and middle-income settings.
topic Serious bacterial infection
Invasive bacterial infection
Fever
Infants
Evaluation algorithms
url http://www.sciencedirect.com/science/article/pii/S2211419X20301129
work_keys_str_mv AT juanitalishman infants2190dayspresentingwithapossibleseriousbacterialinfectionareevaluationalgorithmsfromhighincomecountriesapplicableinthesouthafricanpublichealthsector
AT liezlsmit infants2190dayspresentingwithapossibleseriousbacterialinfectionareevaluationalgorithmsfromhighincomecountriesapplicableinthesouthafricanpublichealthsector
AT andrewredfern infants2190dayspresentingwithapossibleseriousbacterialinfectionareevaluationalgorithmsfromhighincomecountriesapplicableinthesouthafricanpublichealthsector
_version_ 1724258733263945728