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Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates
المؤلفون المشاركون
Buonocore, Giuseppe
Longini, M.
Tataranno, Maria Luisa
Benders, M. J. N. L.
Coviello, Caterina
Tassini, Maria
Vivi, Antonio
Calderisi, Marco
deVries, Linda S.
Groenendaal, Floris
Perrone, Serafina
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-10-01
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Background and Objective.
Early identification of neonates at risk for brain injury is important to start appropriate intervention.
Urinary metabolomics is a source of potential, noninvasive biomarkers of brain disease.
We studied the urinary metabolic profile at 2 and 10 days in preterm neonates with normal/mild and moderate/severe MRI abnormalities at term equivalent age.
Methods.
Urine samples were collected at two and 10 days after birth in 30 extremely preterm infants and analyzed using proton magnetic resonance spectroscopy.
A 3 T MRI was performed at term equivalent age, and images were scored for white matter (WM), cortical grey matter (cGM), deep GM, and cerebellar abnormalities.
Infants were divided in two groups: normal/mild and moderately/severely abnormal MRI scores.
Results.
No significant clustering was seen between normal/mild and moderate/severe MRI scores for all regions at both time points.
The ROC curves distinguished neonates at 2 and 10 days who later developed a markedly less mature cGM score from the others (2 d: area under the curve (AUC) = 0.72, specificity (SP) = 65%, sensitivity (SE) = 75% and 10 d: AUC = 0.80, SP = 78%, SE = 80%) and a moderately to severely abnormal WM score (2 d: AUC = 0.71, specificity (SP) = 80%, sensitivity (SE) = 72% and 10 d: AUC = 0.69, SP = 64%, SE = 89%).
Conclusions.
Early urinary spectra of preterm infants were able to discriminate metabolic profiles in patients with moderately/severely abnormal cGM and WM scores at term equivalent age.
Urine spectra are promising for early identification of neonates at risk of brain damage and allow understanding of the pathogenesis of altered brain development.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tataranno, Maria Luisa& Perrone, Serafina& Longini, M.& Coviello, Caterina& Tassini, Maria& Vivi, Antonio…[et al.]. 2018. Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates. Disease Markers،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1153372
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tataranno, Maria Luisa…[et al.]. Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates. Disease Markers No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1153372
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tataranno, Maria Luisa& Perrone, Serafina& Longini, M.& Coviello, Caterina& Tassini, Maria& Vivi, Antonio…[et al.]. Predictive Role of Urinary Metabolic Profile for Abnormal MRI Score in Preterm Neonates. Disease Markers. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1153372
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1153372
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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