Assessment of sickness severity of illness in neonates: review of various neonatal illness scoring systems
- PMID: 28372507
- DOI: 10.1080/14767058.2017.1315665
Assessment of sickness severity of illness in neonates: review of various neonatal illness scoring systems
Abstract
Sickness severity scores are widely used for neonates admitted to neonatal intensive care units to predict severity of illness and risk of mortality and long-term outcome. These scores are also used frequently for quality assessment among various neonatal intensive care unit and hospital. Accurate and reliable measures of severity of illness are required for unbiased and reliable comparisons especially for benchmarking or comparative quality improvement care studies. These scores also serve to control for population differences when performing studies such as clinical trials, outcome evaluations, and evaluation of resource utilisation. Although presently there are multiple scores designed for neonates' sickness assessment but none of the score is ideal. Each score has its own advantages and disadvantages. We did literature search for identifying all neonatal sickness severity score and in this review article, we discuss these scores along with their merits and demerits.
Keywords: Neonate; mortality; sickness severity score.
Similar articles
-
Predictive power of serial neonatal therapeutic intervention scoring system scores for short-term mortality in very-low-birth-weight infants.Pediatr Neonatol. 2015 Apr;56(2):108-13. doi: 10.1016/j.pedneo.2014.06.005. Epub 2014 Sep 20. Pediatr Neonatol. 2015. PMID: 25246194
-
Utilization of SNAP II and SNAPPE II Scores for Predicting the Mortality Rate Among a Cohort of Iranian Newborns.Arch Iran Med. 2018 Apr 1;21(4):153-157. Arch Iran Med. 2018. PMID: 29693405
-
Neonatal risk scoring systems. Can they predict mortality and morbidity?Clin Perinatol. 1998 Sep;25(3):591-611. Clin Perinatol. 1998. PMID: 9779336 Review.
-
Can severity-of-illness indices for neonatal intensive care predict outcome at 4 years of age?Acta Paediatr. 2002;91(10):1093-100. doi: 10.1080/080352502760311601. Acta Paediatr. 2002. PMID: 12434896
-
Evaluation of neonatal intensive care technologies.Future Child. 1995 Spring;5(1):139-61. Future Child. 1995. PMID: 7633860 Review.
Cited by
-
Neonatal Sequential Organ Failure Assessment (nSOFA) Score within 72 Hours after Birth Reliably Predicts Mortality and Serious Morbidity in Very Preterm Infants.Diagnostics (Basel). 2022 May 28;12(6):1342. doi: 10.3390/diagnostics12061342. Diagnostics (Basel). 2022. PMID: 35741152 Free PMC article.
-
Patterns of antibiotic use, pathogens, and prediction of mortality in hospitalized neonates and young infants with sepsis: A global neonatal sepsis observational cohort study (NeoOBS).PLoS Med. 2023 Jun 8;20(6):e1004179. doi: 10.1371/journal.pmed.1004179. eCollection 2023 Jun. PLoS Med. 2023. PMID: 37289666 Free PMC article.
-
Comparative Assessment of the Critical Condition of Newborns with Congenital Anomalies on the Basis of Different Scales.Turk Arch Pediatr. 2025 Mar 7;60(2):182-190. doi: 10.5152/TurkArchPediatr.2025.24205. Turk Arch Pediatr. 2025. PMID: 40094290 Free PMC article.
-
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor.Sci Rep. 2018 Sep 13;8(1):13743. doi: 10.1038/s41598-018-31920-6. Sci Rep. 2018. PMID: 30213963 Free PMC article.
-
Comparing mortality risk models in VLBW and preterm infants: systematic review and meta-analysis.J Perinatol. 2020 May;40(5):695-703. doi: 10.1038/s41372-020-0650-0. Epub 2020 Mar 18. J Perinatol. 2020. PMID: 32203174
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical