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العنوان
Serum Calprotectin as a Predictive Marker for late-onset Sepsis in Preterm Neonates/
المؤلف
Mahmoud,Fatma Abd ElMawgoud
هيئة الاعداد
باحث / فاطمة عبدالموجود محمود
مشرف / سها محمد خفاجي
مشرف / تيسير مصطفي محمود
تاريخ النشر
2024
عدد الصفحات
148.p:
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
طب الأطفال ، الفترة المحيطة بالولادة وصحة الطفل
تاريخ الإجازة
30/3/2024
مكان الإجازة
جامعة عين شمس - كلية الطب - Pediatrics
الفهرس
Only 14 pages are availabe for public view

from 134

from 134

Abstract

ABSTRACT
Background: Neonatal sepsis is a leading cause of mortality worldwide particularly affecting preterm neonates, who are often exposed to empirical antibiotics. And since sepsis biomarkers sensitivity in this patient group, and markers predicting the risk of sepsis have not been identified yet.
Aim of the Work: Primary aim is to evaluate whether or not serum calprotectin in the first 2 days of life could be used as a predictive marker for late onset sepsis in preterm neonates. Secondary aim is to study the effect of sepsis risk factors on serum calprotectin level during the first two days of life.
Patients and Methods: This prospective cohort study was conducted on 40 preterm neonates which was admitted at Neonatal Intensive Care Units, Children Hospital, Ain Shams University, Cairo, Egypt in the duration from 6/2023 to 12/2023 after taking approval from the Research Ethics Committee.
Results: ROC curve shows that the best cut off point for serum calprotectin level to differentiate between neonates with and without sepsis was found ≤ 114.2 with sensitivity of 100.0%, specificity of 100.0% and area under curve (AUC) of 1.000. ROC curve shows that the best cutoff point for serum calprotectin level to differentiate between neonates with and without sepsis was found ≤ 12.98 with sensitivity of 100.0%, specificity of 100.0% and area under curve (AUC) of 1.000.
Conclusion: There was a significant negative correlation between serum calprotectin level and duration of hospitalization and the level of calprotectin was significantly lower in sepsis cases. It could be used as a predictive marker of sepsis with AUC of 1.000, sensitivity of 100.0% and specificity of 100.0%.