Sepsis remains a leading cause of morbidity and mortality in the neonatal population, and at present, there is no unified definition of neonatal sepsis. Existing consensus sepsis definitions within paediatrics are not suited for use in the NICU and do not address sepsis in the premature population. Many neonatal research and surveillance networks have criteria for the definition of sepsis within their publications though these vary greatly and there is typically a heavy emphasis on microbiological culture. The concept of organ dysfunction as a diagnostic criterion for sepsis is rarely considered in neonatal literature, and it remains unclear how to most accurately screen neonates for organ dysfunction. Accurately defining and screening for sepsis is important for clinical management, health service design and future research. The progress made by the Sepsis-3 group provides a roadmap of how definitions and screening criteria may be developed. Similar initiatives in neonatology are likely to be more challenging and would need to account for the unique presentation of sepsis in term and premature neonates. The outputs of similar consensus work within neonatology should be twofold: a validated definition of neonatal sepsis and screening criteria to identify at-risk patients earlier in their clinical course. IMPACT: There is currently no consensus definition of neonatal sepsis and the definitions that are currently in use are varied.A consensus definition of neonatal sepsis would benefit clinicians, patients and researchers.Recent progress in adults with publication of Sepsis-3 provides guidance on how a consensus definition and screening criteria for sepsis could be produced in neonatology.We discuss common themes and potential shortcomings in sepsis definitions within neonatology.We highlight the need for a consensus definition of neonatal sepsis and the challenges that this task poses.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41390-020-0785-x | DOI Listing |
BMC Med Res Methodol
January 2025
Prehospital Center Region Zealand, Ringstedgade 61, 14th Floor, Naestved, 4700, Denmark.
Background: Effective interventions to reduce drowning incidents require accurate and reliable data for scientific analysis. However, the lack of high-quality evidence and the variability in drowning terminology, definitions, and outcomes present significant challenges in assessing studies to inform drowning guidelines. Many drowning reports use inappropriate classifications for drowning incidents, which significantly contributes to the underreporting of drowning.
View Article and Find Full Text PDFPediatr Res
January 2025
THIS Institute (The Healthcare Improvement Studies Institute), University of Cambridge, Strangeways Research Laboratory, Cambridge, CB1 8RN, UK.
Background: High quality data is important to understanding epidemiology and supporting improvement efforts in perinatal brain injury. It is not clear which data items relevant to brain injury are captured across UK sources of routinely collected data, nor what needs to be done to ensure that those sources are fit for purpose in improving care.
Methods: We reviewed data dictionaries of four main UK perinatal data sources and consulted a multi-professional group (N = 27) with expertise in neonatal/maternity care, statistics, and clinical negligence.
Pediatr Emerg Care
February 2025
Professor, Departments of Emergency Medicine and Pediatrics, University of Michigan, Ann Arbor, MI.
The presence of hypothermia among young infants in the emergency department may be a sign of serious or invasive bacterial infections, or invasive herpes simplex viral infection. However, hypothermia may also occur due to a variety of other infectious and noninfectious conditions or environmental exposure. In some settings, hypothermia may represent a protective, energy-conserving response to illness.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
BMJ Case Rep
January 2025
Division of Neonatology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
We report a neonate evaluated for hepatomegaly during hospitalisation and was diagnosed to have hepatoblastoma, an uncommon childhood malignancy. The presence of dysmorphism, macrosomia and congenital heart defect led to the suspicion of congenital overgrowth conditions. The genetic evaluation revealed a pathogenic variant, conclusive of Simpson-Golabi-Behmel syndrome type 1 (SGBS1).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!