Aim: Premature neonates represent a population highly vulnerable to infection. This study aims to profile viral colonisation of gut and the associated clinical manifestations among premature neonates admitted to a neonatal intensive care unit (NICU) in Australia.
Methods: In a cohort of 75 premature neonates born at less than 32 weeks gestation, who were followed for 4 weeks following admission to a NICU in Sydney, Australia, multiplex polymerase chain reaction assays were used to determine viral presence in stool, and clinical data were examined.
Results: Overall, viral RNA or DNA was detected in 24/419 (5.7%) of specimens, including norovirus genogroup 2 (1.9%), enterovirus (1.2%), herpes simplex virus-2 (1.2%), cytomegalovirus (0.7%), Epstein-Barr virus (0.5%) and rotavirus (0.2%). Viral infection was detected in 13/75 (17%) of premature neonates at some time point, including five (7%) neonates shedding more than one type of virus in stool. A higher rate of infection was observed among premature neonates with intrauterine growth restriction (56%) compared with those infants born appropriate for gestational age (12%. P = 0.006).
Conclusion: The overall viral detection rate in stool of 5.7% (affecting 17% of neonates) indicates viral infections are an important health risk for premature infants in NICU.
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http://dx.doi.org/10.1111/jpc.12113 | DOI Listing |
Cochrane Database Syst Rev
January 2025
Cochrane Sweden, Department of Research, Development, Education and Innovation, Lund University, Skåne University Hospital, Lund, Sweden.
This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the benefits and harms of individualized developmental care interventions for promoting development and preventing morbidity in preterm infants.
View Article and Find Full Text PDFPak J Med Sci
January 2025
Lin Lin Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical, Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian Province 350001, China.
Objective: This study examined the potential link between maternal pre-pregnancy body mass index (PPBMI) with neonatal outcomes in twin pregnancies.
Methods: This retrospective analysis records of 1,270 women with twin pregnancies, delivered at the Fujian Maternity and Child Health Hospital between 2019 and 2021, were retrospectively analysed. Women were diagnosed as underweight, normal BMI, and overweight/obese according to their PPBMI.
Pak J Med Sci
January 2025
Lianghui Zheng Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics, Gynecology and Pediatrics, Fujian Medical University. P.R. China.
Objective: This retrospective cohort study aimed to investigate the effects of parity on gestational weight gain (GWG) and its association with maternal and neonatal outcomes in women with gestational diabetes mellitus (GDM).
Methods: This retrospective cohort study data from 2,909 pregnant women with GDM who delivered between 2021 and 2023 at Fujian Maternity and Child Health hospital, were analyzed. Participants were categorized into nulliparous (no previous births), primiparous (one previous birth), and multiparous (two or more previous births) groups.
Int J Reprod Biomed
November 2024
Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Background: Osteopenia of prematurity (OP) is characterized by reduced bone mineral content, and vitamin D deficiency may worsen OP by affecting bone metabolism.
Objective: This study aimed to investigate the correlation between maternal vitamin D levels and biochemical markers related to OP.
Materials And Methods: This analytical cross-sectional study, conducted at Shahid Sadoughi hospital, Yazd, Iran, from June 2022 to September 2023, included 49 pregnant women and their preterm infants.
Ophthalmol Sci
November 2024
Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.
Purpose: Retinopathy of prematurity (ROP) stage is defined by the visual appearance of the vascular-avascular border, which reflects a spectrum of pathologic neurovascular tissue (NVT). Previous work demonstrated that the thickness of the ridge lesion, measured using OCT, corresponds to higher clinical diagnosis of stage. This study evaluates whether the volume of anomalous NVT (ANVTV), defined as abnormal tissue protruding from the regular contour of the retina, can be measured automatically using deep learning to develop quantitative OCT-based biomarkers in ROP.
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