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BMC Pediatrics

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Open Access 01-12-2017 | Research article

Pathogenic bacteria distributions and drug resistance analysis in 96 cases of neonatal sepsis

Authors: Huaifu Dong, Huiping Cao, Haiyan Zheng

Published in: BMC Pediatrics | Issue 1/2017

Abstract

Background

This study aimed to summarize common pathogens and associated drug resistance in neonatal sepsis (NS).

Methods

Blood culture and drug sensitivity results from 96 NS cases treated from January 2010 to August 2014 were retrospectively analyzed.

Results

A total of 97 pathogenic bacteria were detected from these 96 NS cases; Gram-positive cocci accounted for 76.3% of the cases, among which 70.1% involved coagulase-negative staphylococcus (CONS), whereas Gram-negative bacilli and fungi accounted for 19.6% and fungi 4.1% of cases, respectively. Gram-positive cocci exhibited a higher penicillin resistance rate and full vancomycin sensitivity, whereas Gram-negative bacilli exhibited a higher cephalosporin resistance rate, low meropenem resistance rate (6.7%), and no resistance to amikacin.

Conclusions

The main causative pathogens of NS in our hospital were Gram-positive cocci, among which coagulase-negative Staphylococcus spp such as S. epidermidis and S. haemolyticus were the main conditional pathogens; among Gram-negative pathogens, Klebsiella pneumoniae were most frequently isolated and showed widespread resistance to penicillins and cephalosporins.

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Title: Pathogenic bacteria distributions and drug resistance analysis in 96 cases of neonatal sepsis
Authors: Huaifu Dong
Huiping Cao
Haiyan Zheng
Publication date: 01-12-2017
Publisher: BioMed Central
Published in: BMC Pediatrics / Issue 1/2017
Electronic ISSN: 1471-2431
DOI: https://doi.org/10.1186/s12887-017-0789-9

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Pathogenic bacteria distributions and drug resistance analysis in 96 cases of neonatal sepsis

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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