Risk Factors for Neonatal Sepsis in Public Hospitals of Mekelle City, North Ethiopia, 2015: Unmatched Case Control Study

• Published in: PloS one 2016-05, Vol.11 (5), p.e0154798-e0154798
• Main Authors: Gebremedhin, Destaalem, Berhe, Haftu, Gebrekirstos, Kahsu
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Analysis; Antibiotics; Apgar Score; Biology and Life Sciences; Case-Control Studies; Dependent variables; Developing countries; Ethiopia; Female; Fever; Health aspects; Health sciences; Hematology; Hospitals; Hospitals, Public; Humans; Independent variables; Infant mortality; Infant, Newborn; Infections; Infectious diseases; LDCs; Logistic Models; Management; Medicine and Health Sciences; Morbidity; Mortality; Neonatal Sepsis - diagnosis; Neonatal Sepsis - pathology; Neonates; Newborn babies; Pediatrics; People and Places; Pregnancy; Public health; Public hospitals; Regression analysis; Regression models; Risk analysis; Risk Factors; Sampling techniques; Sepsis; Sexually transmitted diseases; Social Class; STD; Urinary tract
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0154798

Neonatal sepsis is a leading cause of neonatal morbidity and mortality, particularly in the developing countries. Delays in the identification and treatment of neonatal sepsis are among the main contributors to the high mortality. The aim of this study was to determine the risk factors of neonatal sepsis in public hospitals of Mekelle City, Tigray Region, North Ethiopia, 2015. A hospital based case control study was done in public hospitals of Mekelle City, Tigray region. Cases were neonates who had sepsis with their index mothers and controls were neonates who hadn't had sepsis with their index mothers. Hematologic findings were used to diagnose sepsis once the neonates were being clinically suspected. Cases and controls were selected using the systematic sampling technique. Data were entered using Epi info version 7 and then analyzed using SPSS window 20. The binary logistic regression model was used to test the association between dependent and independent variables and multivariable logistic regression was used to identify the associated risk factors to neonatal sepsis. A total of 78 cases and 156 controls were included in this study. More than three quarters (76.8%) of cases had early onset sepsis. The multivariable logistic regression analysis showed that the possible risk factors of neonatal sepsis in this study were; history of maternal urinary tract infection or sexually transmitted infection [AOR = 5. 23; 95% CI (1.82, 15.04)], prolonged rupture of membrane [AOR = 7. 43; 95% CI (2.04, 27.1)], Place of delivery; health center delivery [AOR = 5. 7; 95% CI (1.71, 19.03)], intrapartum fever [AOR = 6. 1 95% CI (1.29, 28.31)], APGAR score