Cargando…
The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis
This study aimed to investigate the etiology and risk factors of neonatal sepsis. A retrospective analysis was conducted on 192 patients with sepsis from August 2013 to March 2015. One hundred and six healthy neonates were used as the control group. Logistic regression was used to analyze the risk f...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512054/ https://www.ncbi.nlm.nih.gov/pubmed/28758124 http://dx.doi.org/10.1155/2017/8617076 |
_version_ | 1783250444098732032 |
---|---|
author | Xiao, Ting Chen, Li-Ping Liu, Hui Xie, SiSi Luo, Yan Wu, Ding-Chang |
author_facet | Xiao, Ting Chen, Li-Ping Liu, Hui Xie, SiSi Luo, Yan Wu, Ding-Chang |
author_sort | Xiao, Ting |
collection | PubMed |
description | This study aimed to investigate the etiology and risk factors of neonatal sepsis. A retrospective analysis was conducted on 192 patients with sepsis from August 2013 to March 2015. One hundred and six healthy neonates were used as the control group. Logistic regression was used to analyze the risk factors and ROC curve analysis performed in laboratory which indicated a significant correlation. The results of univariate analysis showed that postnatal age, body weight, and parity were significantly related to neonatal sepsis (P < 0.5). Logistic regression analysis demonstrated that postnatal age and parity are independent risk factors for neonatal sepsis (OR were 1.176 and 0.692, resp., P < 0.001). The maximum area underneath the curve (ROC(AUC)) of soluble CD14 (sCD14-ST), which was the most indicative biomarker of sepsis diagnostically, was 0.953 with sensitivity and specificity of 93.8% and 84.9%, respectively. Escherichia coli, Staphylococcus aureus, and Streptococcus agalactiae were the main bacterial strains causing neonatal sepsis, while postnatal age was an independent risk factor for the onset of disease. sCD14-ST could be a potential useful diagnostic marker for pediatric sepsis. |
format | Online Article Text |
id | pubmed-5512054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-55120542017-07-30 The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis Xiao, Ting Chen, Li-Ping Liu, Hui Xie, SiSi Luo, Yan Wu, Ding-Chang Biomed Res Int Research Article This study aimed to investigate the etiology and risk factors of neonatal sepsis. A retrospective analysis was conducted on 192 patients with sepsis from August 2013 to March 2015. One hundred and six healthy neonates were used as the control group. Logistic regression was used to analyze the risk factors and ROC curve analysis performed in laboratory which indicated a significant correlation. The results of univariate analysis showed that postnatal age, body weight, and parity were significantly related to neonatal sepsis (P < 0.5). Logistic regression analysis demonstrated that postnatal age and parity are independent risk factors for neonatal sepsis (OR were 1.176 and 0.692, resp., P < 0.001). The maximum area underneath the curve (ROC(AUC)) of soluble CD14 (sCD14-ST), which was the most indicative biomarker of sepsis diagnostically, was 0.953 with sensitivity and specificity of 93.8% and 84.9%, respectively. Escherichia coli, Staphylococcus aureus, and Streptococcus agalactiae were the main bacterial strains causing neonatal sepsis, while postnatal age was an independent risk factor for the onset of disease. sCD14-ST could be a potential useful diagnostic marker for pediatric sepsis. Hindawi 2017 2017-07-03 /pmc/articles/PMC5512054/ /pubmed/28758124 http://dx.doi.org/10.1155/2017/8617076 Text en Copyright © 2017 Ting Xiao et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Xiao, Ting Chen, Li-Ping Liu, Hui Xie, SiSi Luo, Yan Wu, Ding-Chang The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis |
title | The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis |
title_full | The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis |
title_fullStr | The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis |
title_full_unstemmed | The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis |
title_short | The Analysis of Etiology and Risk Factors for 192 Cases of Neonatal Sepsis |
title_sort | analysis of etiology and risk factors for 192 cases of neonatal sepsis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5512054/ https://www.ncbi.nlm.nih.gov/pubmed/28758124 http://dx.doi.org/10.1155/2017/8617076 |
work_keys_str_mv | AT xiaoting theanalysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT chenliping theanalysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT liuhui theanalysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT xiesisi theanalysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT luoyan theanalysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT wudingchang theanalysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT xiaoting analysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT chenliping analysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT liuhui analysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT xiesisi analysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT luoyan analysisofetiologyandriskfactorsfor192casesofneonatalsepsis AT wudingchang analysisofetiologyandriskfactorsfor192casesofneonatalsepsis |