Study on the Four Critically Ill Score Methods of Newborns Critically Ill

DOI

10.2991/icemct-16.2016.16How to use a DOI?

Keywords

al Score; Death; Moderate to Severe HIE; Mechanical Ventilation; TRIPS

Abstract

Objective: To investigate the NCIS, TRIPS, SNAP-II, research SNAPPE- score four critically ill newborns and assess the predictive accuracy of superiority. Methods: The clinical data were collected in 2015, People's Hospital Neonatal Intensive Care Unit of Hubei Medical College prospective study comparing four score of death, degree of intracranial hemorrhage, moderate to severe HIE, mechanical ventilation, sepsis, oxygen supply> 21d, feeding intolerance> 7d, hospitalization time> 28d, three blood transfusions nine kinds of critically ill newborns, and to assess the predictive accuracy of the superiority of its incidence. Results: 480 newborns included in the study. H-L goodness of fit test shows four kinds of scoring models have a better fit (P> 0.05), P values were 0.53, 0.68, 0.92, 0.94. Analysis of nine kinds were critical illness occurs, the area (AUC) under the receiver operating characteristic curves were four score> 0.5; wherein Death, moderate to severe HIE, the higher the accuracy of prediction of mechanical ventilation, AUC was> 0.8. TRIPS and SNAPPE- highest prediction accuracy of the above three critically ill newborns. Conclusion: TRIPS and SNAPPE- has high neonatal mortality, moderate to severe HIE, the predictive accuracy of mechanical ventilation, can be applied in clinical practice. TRIPS score simple, quick access, it can promote the use of foundation hospitals.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Cui Liu
AU  - Tao Li
AU  - Yu Fu
AU  - Chao Zeng
AU  - Yi Li
PY  - 2016/04
DA  - 2016/04
TI  - Study on the Four Critically Ill Score Methods of Newborns Critically Ill
BT  - Proceedings of the 2016 International Conference on Education, Management and Computing Technology (ICEMCT-16)
PB  - Atlantis Press
SP  - 79
EP  - 83
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-16.2016.16
DO  - 10.2991/icemct-16.2016.16
ID  - Liu2016/04
ER  -