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 neonatal sepsis. METHODS:A case-control study was conducted at Queen Sirikit National Institute of Child Health, Bangkok, Thailand. Data were derived from the medical records of 52 sepsis cases and 156 non-sepsis controls. Only proven bacterial neonatal sepsis cases were included in the sepsis group. The non-sepsis group consisted of neonates without any infection. Potential predictors consisted of risk factors, clinical conditions, laboratory data, and treatment modalities. The model was developed based on mu

SUBMITTER: Husada D 

PROVIDER: S-EPMC7029566 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature