Predictive value of different risk scores for mortality and morbidity in extremely preterm infants

Year 2024, Volume: 5 Issue: 2, 95 - 103, 31.05.2024

Gökçe Çıplak Ülfet Vatansever Özbek Betül Acunaş

https://doi.org/10.51972/tfsd.1438904

Abstract

ABSTRACT (ENGLISH):
Purpose: To determine the role of different scoring systems in predicting mortality and morbidity risk of preterms who are younger than 32 weeks and/or have a birth weight of less than 1500 g.
Material and Methods: Preterm infants with a gestational age (GA) of less than 32 weeks and/or a birth weight (BW) of less than 1500 grams , who were admitted to the neonatal intensive care unit (NICU) between June 2014 and June 2016, were included in this study. The SNAP-PE-II and CRIB scores in the first 12 hours of life and the NTISS scores at 24, 48, and 72 hours of life were calculated for all newborns. Mortality rate, length of hospital stay, and morbidities were prospectively recorded. The patients were divided into two groups as survivors (Group 1) and non-survivors (Group 2). The data obtained were then statistically compared between the two groups.
Results: A total of 120 preterm infants constituted the study group. There were significant differences between the groups with respect to all studied risk scores (p<0.001). All scores showed satisfactory discrimination and calibration abilities for mortality. As for the morbidities, all of the scores were found to be higher in patients with morbidities than those without, but the situation changed when the ROC analyses were performed and sensitivity and specificity values were calculated.
Conclusion: This is one of the few studies that evaluated the relationship between the scoring systems used to predict mortality risk and common morbidities in extremely preterm patients.
Keywords: scoring systems, CRIB, SNAP-II, SNAP-PE-II, NTISS

Keywords

scoring systems, CRIB, SNAP-II, SNAP-PE-II, NTISS

Ethical Statement

Ethics approval for the study was obtained from the Local Ethics Committee on 15.06.2016, with a protocol number of 12/16 and a protocol code of TUTF-BAEK 2016/160.

Supporting Institution

The authors did not receive support from any organization for the submitted work

Thanks

We would like to thank Prof. Dr. Burcu TOKUÇ for her support in statistical analysis.

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