Evidence map›Paper›PMID 28587631›Full record

ArticleBMC pediatrics2017

Bacterial etiologic agents causing neonatal sepsis and associated risk factors in Gondar, Northwest Ethiopia.

Tsehaynesh G/Eyesus, Feleke Moges, Setegn Eshetie, Biruk Yeshitela, Ebba Abate

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 11 pooled it
10.7field-weighted citation impact, top 1% of its field
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

78 citing papers in PubMed, 11 syntheses or guidelines pooled it, 143 citations in OpenAlex.

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18 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 1 country.

Tsehaynesh G/EyesusAmhara Regional Health Bureau, South Gondar Zonal Health Bureau, Debre Tabor, Ethiopia.
Feleke MogesDepartment of Medical Microbiology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, P. O. Box: 196, , Ethiopia.
Setegn EshetieDepartment of Medical Microbiology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, P. O. Box: 196, , Ethiopia. wolet03.2004@gmail.com.
Biruk YeshitelaArmauer Hansen Research Institute (AHRI), Addis Ababa, Ethiopia.
Ebba AbateDepartment of Medical Microbiology, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, P. O. Box: 196, , Ethiopia.
University of Gondar · ETAmhara Regional Health Bureau · ETArmauer Hansen Research Institute · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal sepsis is a blood stream infection which is seen in the first month of life of the neonate. Bacterial profile of neonatal septicemia is constantly changing thus, current knowledge on the patterns of bacterial isolates, its antibiotic resistance profile, and associated factors, are essential to design and implement appropriate interventions. Therefore, the aim of this study was to identify bacterial etiologic agents, their antimicrobial susceptibility pattern and associated risk factors of neonatal sepsis among neonates.

methodsA cross- sectional study was conducted among neonates suspected to sepsis attending University of Gondar Hospital from September/2015 to May/2016. A total of 251 consecutive neonates with clinical sign and symptoms of sepsis were included in the study. Blood sample was collected and directly inoculated into Trypton soya broth bottle and incubated at 37 °C. After 24 h of incubation it was sub- cultured in to blood agar plate, chocolate agar plate, manitol salt agar and Macconkey. The bacterial pathogens and antimicrobial susceptibility tests were identified using standard microbiological methods. Bivariate and multivariate logistic regressions were used to identify possible associated risk factors. Prior to the study ethical clearance was obtained from the School of Biomedical and Laboratory Sciences, University of Gondar.

resultsOf the 251 study participants suspected of neonatal sepsis, 117 (46.6%) showed bacterial growths, of them 120 bacteria were isolated. Gram positive bacteria were commonly isolated 81 (67.5%).The commonly isolated bacterial species were S. aureus 49 (40.8%) followed by coagulase negative Staphylococci 26 (21.6%) and K. pneumoniae19 (15.8%). The overall rate of multidrug resistance isolates was 78 (65%: CI 95%: 56.7-72.5%). Multidrug resistant (MDR) among Gram positive and negative bacteria were 56 (69.1%) and 22 (56.4%), respectively. Independent risk factors for the occurrence of neonatal sepsis were; Apgar score < 7/5 min (Adjusted odds ratio [AOR] =0.5), birth weight < 1.5 kg (AOR = 12.37), birth weight, 1.5-2.5 kg (AOR = 2.6), gestational week <37 weeks (AOR = 9) and caesarian section delivery (AOR = 5.2).

conclusionThe isolation rate of bacterial pathogens in neonatal sepsis was considerably high. In addition, nearly 70% of isolates were MDR strains. Low birth weight, low Apgar score, preterm delivery and caesarian section modes of delivery were associated risk factors. Therefore, appropriate antenatal care follow up, and health education should be encouraged, especially on the importance of natural way of delivery.

Indexed as

Drug Resistance, BacterialCross-Sectional StudiesEthiopiaFemaleGram-Negative Bacterial InfectionsGram-Positive Bacterial InfectionsHumansInfant, NewbornLogistic ModelsMaleMicrobial Sensitivity TestsNeonatal SepsisProspective StudiesRisk FactorsAntimicrobial susceptibilityEthiopiaGondarNeonateSepsis

Identifiers

PMID28587631
PMCPMC5461759
OpenAlexW2623142220

What OpenQuestion holds

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LicenceCC BY
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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.