Predictive model for bacterial late-onset neonatal sepsis in a tertiary care hospital in Thailand

Predictive model for bacterial late-onset neonatal sepsis in a tertiary care hospital in Thailand

Abstract Background Early diagnosis of neonatal sepsis is essential to prevent severe complications and avoid unnecessary use of antibiotics. The mortality of neonatal sepsis is over 18%in many countries. This study aimed to develop a predictive model for the diagnosis of bacterial late-onset neonat...

Full description

Bibliographic Details
Main Authors: Dominicus Husada, Pornthep Chanthavanich, Uraiwan Chotigeat, Piyarat Sunttarattiwong, Chukiat Sirivichayakul, Krisana Pengsaa, Watcharee Chokejindachai, Jaranit Kaewkungwal
Format: Article
Language:English
Published: BMC 2020-02-01
Series:BMC Infectious Diseases
Subjects:
Predictive model
Bacterial late-onset neonatal sepsis
Scoring system
Thailand
Online Access:http://link.springer.com/article/10.1186/s12879-020-4875-5

Internet

http://link.springer.com/article/10.1186/s12879-020-4875-5

Similar Items