학술논문

Assessment of Neonatal Risk Stratification Methods for the Detection of Early Onset Neonatal Sepsis [electronic resource]
Document Type
Theses
Source
Dissertations Abstracts International; Dissertation Abstract International; 85-03B.
Subject
Childrens health
Clinical medicine
Childbirth & labor
Sepsis
Bacteria
Fever
Pathology
Births
Blood
Mothers
Pediatrics
Cardiac arrhythmia
Antibiotics
Obstetrics
Bacterial infections
Newborn babies
Breastfeeding & lactation
Birth weight
Babies
Heart rate
Medicine
Pharmaceutical sciences
Physiology
Language
English
Abstract
Summary: Early onset sepsis (EOS) occurs infrequently in newborns but can result in life-long deficits or even death. There is tremendous uncertainty about how to best identify infected infants. We aimed to validate the new obstetric diagnoses for intraamniotic infection, collectively known as Triple I, for their ability to identify EOS among infants ≥ 35 weeks gestational age and compare it to other approaches. We first determined that the obstetric diagnosis, suspected intraamniotic infection, modestly improves identification of infants with EOS compared to clinical chorioamnionitis with a numerically higher sensitivity and significantly higher area under the receiver operating curve (AUC). This solidifies use of this diagnosis in obstetric and pediatric practice over previous criteria. However, its test characteristics were suboptimal with a sensitivity of only 53% (95%CI: 40-66) and an AUC of 0.752 (95%CI: 0.682-0.821). Next, we combined diagnosis of suspected intraamniotic infection with the infant's clinical appearance after birth and assessed test characteristics of this categorical approach for EOS and compared it to the multivariate EOS risk calculator, an alternative, evidence-based approach to EOS screening. We identified that the categorical approach had sensitivity of 90% (95%CI: 79-96%) and AUC of 0.875 (0.825-0.924). While this approach identified EOS better than the calculator, the calculator maintained higher specificity. We then evaluated if placenta data can enhance specificity of the categorical approach. Among infants ≥ 35 weeks gestational age exposed to suspected intraamniotic infection in utero, we identified that combining absence of umbilical cord inflammation and placenta culture growth could successfully rule-out 90% of non-infected but exposed infants. However, the maximum benefit of incorporating placenta data occurs if it is obtained shortly after delivery, a practice that is not commonly done. In conclusion, we successfully validated that a categorical approach combining diagnosis of maternal suspected intraamniotic infection and infant clinical appearance will identify the majority of EOS cases. However, it lacks specificity. While this can be improved using placenta histopathology and culture, it would require significant practice change. As institutions re-consider their approach to EOS screening given recent guideline changes, it is necessary to evaluate the strengths and limitations of each approach.