Head ultrasound findings in healthy preterm infants: Their correlation with gestational age and mode of delivery

2013 ◽  
Vol 333 ◽  
pp. e585
Author(s):  
Y. Yueniwati ◽  
D.R. Erawati
2021 ◽  
Vol 7 (1) ◽  
pp. 7-11
Author(s):  
Dini Rachma Erawati ◽  
Yuyun Yueniwati

Background: Cranial ultrasound becomes an important diagnostic tool to evaluate brain injury in infants. Brain injury is a major complication for preterm birth. The brain injury of preterm infants differs from that of a term infant. Brain injury has correlation with gestational age and mode of delivery. Objective: To analyze the correlation between cranial ultrasound findings with gestational age and mode of delivery and to reveal if cranial ultrasound can be used to detect brain injury in premature infants. Methods: An observational analytic study using cross-sectional design took place in Saiful Anwar Hospital Malang, Indonesia. 38 healthy preterm infants underwent cranial ultrasound examination within the first four day of life. Fisher Exact test was used to analyze the correlation between cranial ultrasound findings with gestational age and mode of delivery. Results: Most of the healthy preterm infants (89.5%) were ≥ 32 weeks gestational age, and 52.6% of samples had caesarean section as their mode of delivery. There were three abnormal findings in cranial ultrasound; increased periventricular echogenic (5.3%), increased parenchym echogenic (5.3%), and indistinguishable of gray-white matter differentiation (5.3%). There was no significant correlation between abnormal cranial ultrasound findings with gestational age and mode of delivery (p= 0.202; p= 0.218). Conclusion: There were abnormal cranial ultrasound findings in some healthy preterm infants despite no significant correlation between ultrasound findings with gestational age and mode of delivery. Cranial ultrasound in preterm infants could become a screening tool for early detection of brain injury.


2021 ◽  
Vol 26 (Supplement_1) ◽  
pp. e47-e48
Author(s):  
Marc Beltempo ◽  
Robert Platt ◽  
Anne-Sophie Julien ◽  
Regis Blais ◽  
Bertelle Valerie ◽  
...  

Abstract Primary Subject area Neonatal-Perinatal Medicine Background In a health care system with limited resources, hospital organizational factors such as unit occupancy and nurse-to-patient ratios may contribute to patient outcomes. Objectives We aimed to assess the association of NICU occupancy and nurse staffing with outcomes of very preterm infants born < 33 weeks gestational age (GA). Design/Methods This was a multicenter retrospective cohort study of infants born 23-32 weeks GA without major congenital anomaly, admitted within 2 days after birth to one of four Level 3 NICUs in Quebec, Canada (2015-2018). For each 8 h shift, data on unit occupancy were obtained from a central provincial database (SiteNeo) and linked to the hospital nursing hours database (Logibec). Unit occupancy rates and nursing provision ratios (nursing hours/recommended nursing hours based on patient dependency categories) were pooled for the first shift, 24 h, and 7 days of admission for each infant. Patient data were obtained from the Canadian Neonatal Network database. Primary outcome was mortality and/or morbidity (severe neurological injury, bronchopulmonary dysplasia, necrotizing enterocolitis, and late-onset sepsis, severe retinopathy of prematurity). Adjusted odds ratios (AOR) for association of exposure with outcomes were estimated using generalized linear mixed models with a random effect for center, while adjusting for confounders (gestational age, small for gestational age, sex, outborn, Score for Neonatal Acute Physiology version 2, mode of delivery, and the other organizational variables). Results Among 1870 infants included in analyses, 796 (43%) had mortality/morbidity. Median occupancy was 89% (IQR 82-94) and median nursing provision was 1.13 (IQR 0.97-1.37). Overall higher NICU occupancy on shift of admission, first 24 h, and 7 days were associated with higher odds of mortality/morbidity (Figure 1) but nursing provision was not (Figure 2). Subgroup analysis by GA (< 29 and 29-32 weeks) yielded similar results (not shown). Generalized linear mixed model analyses showed that a 5% reduction in occupancy in the first 24 h of admission was associated with a 6% reduction in mortality/morbidity. Conclusion NICU occupancy is associated with mortality/morbidity among very preterm infants and may reflect lack of adequate resources in periods of high activity. Interventions aimed at reducing occupancy and maintaining adequate resources need to be considered as strategies to improve patient outcomes.


Biosensors ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 50 ◽  
Author(s):  
Nancy Deianova ◽  
Sofia el Manouni el Hassani ◽  
Hendrik J. Niemarkt ◽  
Veerle Cossey ◽  
Anton H. van Kaam ◽  
...  

Fecal volatile organic compounds (VOC) reflect human and gut microbiota metabolic pathways and their interaction. VOC behold potential as non-invasive preclinical diagnostic biomarkers in various diseases, e.g., necrotizing enterocolitis and late onset sepsis. There is a need for standardization and assessment of the influence of clinical and environmental factors on the VOC outcome before this technique can be applied in clinical practice. The aim of this study was to investigate the influence of gestational age (GA) and mode of delivery on the fecal VOC pattern in preterm infants born below 30 weeks of gestation. Longitudinal fecal samples, collected on days 7, 14, and 21 postnatally, were analyzed by an electronic nose device (Cyranose 320®). In total, 58 preterm infants were included (29 infants born at GA 24–26 weeks vs. 29 at 27–29 completed weeks, 24 vaginally born vs. 34 via C-section). No differences were identified at any predefined time point in terms of GA and delivery mode (p > 0.05). We, therefore, concluded that correction for these factors in this population is not warranted when performing fecal VOC analysis in the first three weeks of life.


2003 ◽  
Vol 92 (5) ◽  
pp. 1-1 ◽  
Author(s):  
GMSJ Stoelhorst ◽  
SE Martens ◽  
M Rijken ◽  
van Zwieten PHT ◽  
AH Zwinderman ◽  
...  

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