Diagnostic Accuracy of CRIB II Scoring in Predicting Neonatal Mortality in Preterm Neonates

Authors

  • Muhammad Matiullah Department of Pediatric Medicine / Neonatology, Federal Government Polyclinic Hospital, Islamabad, Pakistan.
  • Amina Mobeen Department of Pediatric Medicine / Neonatology, Federal Government Polyclinic Hospital, Islamabad, Pakistan.
  • Eisha Khalid Department of Pediatric Medicine / Neonatology, Federal Government Polyclinic Hospital, Islamabad, Pakistan.
  • Roshaan Bashir Department of Pediatrics, Al-Nafees Medical College & Hospital, Isra University, Islamabad Campus, Pakistan.
  • Amna Masood Department of Pediatric Medicine, Combined Military Hospital (CMH), Lahore, Punjab, Pakistan.
  • Muhammad Sohaib Department of Pediatrics, Federal Government Polyclinic Hospital, Islamabad / Children Hospital, Lahore, Punjab, Pakistan.

DOI:

https://doi.org/10.70749/ijbr.v3i5.2955

Keywords:

CRIB II Score, Neonatal Mortality, Preterm Neonates, Diagnostic Accuracy, NICU.

Abstract

Background: Preterm birth remains one of the leading causes of infant mortality in the world and mostly in settings where resources are limited. High-risk infants need to be identified at an early age to be intervened upon and achieve improved outcomes. One of the most common and easy to use ways of predicting the early death of preterm babies is the Clinical Risk Index of Babies II (CRIB II) score. Objective: The objective of the study is to determine the predictive value of CRIB II grading system in predicting the newborn mortality in preterm babies. Methods: This prospective observational cohort study was conducted in a tertiary care NICU. There were 120 preterm neonates (≤32 weeks gestation) who were hospitalized in less than 24 hours. CRIB II scores were created using gestational age, birth weight, sex, admission temperature and base excess. Babies were kept track of until they got away or died. Diagnostic accuracy was evaluated by the receiver operating characteristic (ROC) curve analysis that entails sensitivity, specificity, and the area under the curve (AUC). Findings: 31.7% of people died. The mean CRIB II score (10.2 +- 2.1 vs. 5.8 +- 1.9, p < 0.001) of the non-survivors was significantly higher than that of the survivors. The CRIB II score had good predictive ability with an AUC of 0.86 (95% CI: 0.79-0.92). The cut-off value of >7 gave a sensitivity of 73.7% and specificity of 85.4%. Conclusion: The routine use of CRIB II in NICU settings for early risk stratification is supported by the tool's strong diagnostic accuracy and dependability in predicting neonatal mortality in preterm neonates.

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References

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Published

2025-05-30

How to Cite

Muhammad Matiullah, Mobeen, A., Khalid, E., Bashir, R., Masood, A., & Muhammad Sohaib. (2025). Diagnostic Accuracy of CRIB II Scoring in Predicting Neonatal Mortality in Preterm Neonates. Indus Journal of Bioscience Research, 3(5), 1225-1229. https://doi.org/10.70749/ijbr.v3i5.2955