ABSTRACT
Neonatal critical illness score(NCIS) has been published for over 20 years in China and has played an active role in critical neonatal transport, illness severity assessment, and prognosis evaluation.However, there are still some limitations in the scoring system with the development of medical technology, such as failure to include crucial perinatal information, unable to quantify single indicators, difficulty in obtaining PaO 2 without oxygen inhalation, complex evaluation indicators, long evaluation time and data was difficult for scientific research, etc.Therefore, it is necessary to update and simplify it for the clinical treatment and scientific study of critically ill newborns.This review summarized NCIS application in China and compared it with foreign neonatal critical scores such as score for neonatal acute physiology, clinical risk index for babies, etc.Combined with the rising technology of artificial intelligence and deep learning in recent years, it was more straightforward and optimized to enhance its accuracy and applicability, which was aimed to play a more active role in the treatment of critical newborns and scientific research.
ABSTRACT
Clinical risk index for babies( CRIB) is applied in low birth weight preterm neonates to assess the initial severity of illness,predict mortality risk rates,evaluate their own performance,and audit the performance between different medical institutions.CRIB plays an important role in the progressive develop-ment of neonatology.The scoring rules and advantagse of CRIB scorni g system were introud ced in this arti-cle.Teh scoring system is able to correctly predict mortaliyt probabilities and long-term neurodevelopmental outcomes for low birth weight preterm infants.
ABSTRACT
PURPOSE: To develop a new scoring method for predicting the mortality at 28 days of life in premature infants. METHODS: From January 2000 to August 2001 (period I), medical records of 138 premature infants less than 32 weeks' gestation admitted at Asan Medical Center were reviewed retrospectively, and a predictive model (named as KCRIB28) was developed based on several steps of regression analysis. From January 2001 to December 2002 (period II), KCRIB28 was validated for 99 premature infants admitted at Ulsan University Hospital using retrospective cohort study, and compared with results of CRIB score for those infants. The primary outcome variable was death at 28 days of life. RESULTS: One hundred twenty seven (92%) of 138 infants during period I and 86 (86.9%) of 99 infants during period II survived over 28 days of life (P=0.07). The mean gestational age and birth weight (+/-SD) were 29.1+/-2.0 weeks and 1.23+/-0.35 kg, respectively, during period I, and 29.6+/-2.0 weeks and 1.37+/-0.46 kg, respectively, during period II. Gestational age, birth weight, 5-min. Apgar score and peak inspiratory pressure divided by birth weight at 12 hours of age were selected as parameters of KCRIB 28. Areas under the receiver operator characteristic curves (AUCs) were 0.84 (SEM, 0.08; 95%CI, 0.77-0.90) during period I and 0.89 (SEM, 0.06; 95%CI, 0.81-0.94) during period II. No differences in AUCs were found between KCRIB 28 and CRIB for patients during period II (P=0.75). CONCLUSION: KCRIB 28 can be used as a valuable measurement to predict the mortality of premature infants at 28 days of life.