Evidence map›Paper›PMID 30684964›Full record

ArticleBMC pediatrics2019

Deciphering risk factors for blood stream infections, bacteria species and antimicrobial resistance profiles among children under five years of age in North-Western Tanzania: a multicentre study in a cascade of referral health care system.

J Seni, A A Mwakyoma, F Mashuda, R Marando, M Ahmed, R DeVinney, J D D Pitout, S E Mshana

Abstract readMulticenter Study
In one paragraph

Article in BMC pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

J SeniDepartment of Microbiology and Immunology, Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, P.O. Box 1464, Mwanza, Tanzania. senijj80@gmail.com.ORCID 0000-0003-2420-5329
A A MwakyomaDepartment of Microbiology and Immunology, Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, P.O. Box 1464, Mwanza, Tanzania.
F MashudaDepartment of Paediatrics and Child Health, Bugando Medical Centre, Catholic University of Health and Allied Sciences, P.O. Box 1370 - 1464, Mwanza, Tanzania.
R MarandoDepartment of Paediatrics and Child Health, Bugando Medical Centre, Catholic University of Health and Allied Sciences, P.O. Box 1370 - 1464, Mwanza, Tanzania.
M AhmedDepartment of Paediatrics and Child Health, Bugando Medical Centre, Catholic University of Health and Allied Sciences, P.O. Box 1370 - 1464, Mwanza, Tanzania.
R DeVinneyDepartment of Microbiology, Immunology and Infectious Diseases, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada.
J D D PitoutDepartment of Microbiology, Immunology and Infectious Diseases, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada.
S E MshanaDepartment of Microbiology and Immunology, Weill-Bugando School of Medicine, Catholic University of Health and Allied Sciences, P.O. Box 1464, Mwanza, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlood stream infections (BSIs) cause a complex cascade of inflammatory events, resulting in significant morbidity and mortality in children in Tanzania. This study was designed to delineate circulating bacterial species, antimicrobial resistance (AMR) profiles and risk factors for BSIs and mortality among children in the cascade of referral health care facilities so as to guide comprehensive BSIs management.

methodsA multiple cross sectional analytical study was conducted between July 20, 2016 to October 04, 2017 involving 950 children less than five years of age in the North-western part of Tanzania. Children with clinical features suggestive of BSIs were included. Demographic, clinical and laboratory information on culture and antimicrobial susceptibility testing was collected from children; and analyzed using STATA version 13.0 software.

resultsThe prevalence of BSIs among children was 14.2% (95% CI: 12.1-16.6%), with specific prevalence in the district, regional and tertiary hospitals being 8.3, 6.4 and 20.0%, respectively. The most common bacterial pathogens isolated from 135 culture-positive children were Klebsiella pneumoniae (55, 40.4%), Staphylococcus aureus (23, 17.0%), and Escherichia coli (17, 12.6%). Multi-drug resistance (MDR) was higher in isolates from children at Bugando Medical Centre (BMC) tertiary hospital than isolates from district and regional hospitals [OR (95% CI): 6.36 (2.15-18.76); p = 0.001]. Independent risk factors for BSIs were neonatal period [OR (95% CI): 1.93 (1.07-3.48); p = 0.003] and admission at BMC [2.01 (1.08-3.74); p = 0.028)]. Approximately 6.6% (61/932) of children died, and risk factors for mortality were found to be children attending BMC [OR (95% CI): 4.95 (1.95-12.5); p = 0.001)], neonatal period [OR (95% CI): 2.25 (1.02-5.00); p = 0.045)], and children who had blood culture positive results [OR (95% CI): 1.95 (1.07-3.56); p = 0.028)].

conclusionsThe prevalence of BSIs (14.2%) in this multi-centre study is high and predominantly caused by the MDR K. pneumoniae. Priority interventional measures to combat BSIs and mortality, specifically among neonates at BMC are urgently recommended.

Indexed as

Drug Resistance, BacterialBacteremiaChild, PreschoolCross-Sectional StudiesDelivery of Health CareFemaleHumansInfantInfant, NewbornMaleProspective StudiesReferral and ConsultationRisk AssessmentRisk FactorsTanzaniaBlood stream infectionsChildrenTanzania

Identifiers

PMID30684964
PMCPMC6347777

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.