Score for neonatal acute physiology: validation in three Kaiser Permanente neonatal intensive care units.

作者: Robert Kremers , Mary Anne Armstrong , Gabriel J. Escobar , Allen Fischer , De Kun Li

DOI:

关键词:

摘要: Background. Measurement of the severity illness is a research area growing importance in neonatal intensive care. Most scales have been developed tertiary care settings. Their applicability community units has not tested. Objectives. Our goal was to assess operational characteristics score for acute physiology (SNAP) : relationship birth weight, length total hospital stay, and in-hospital mortality. Methods. We assigned SNAP scores prospectively all inborn admissions at three during an 11-month period. Data on other predictors (eg, weight presence congenital heart disease) were also collected. measured mortality, experience interhospital transport higher level care, stay. Results. found that SNAP's similar previous reports. The perinatal extension reliable predictor newborn with under receiver operator characteristic curve 0.95. good whether by itself (by which it can explain 31% stay) or combination variables. Its predictive ability better among infants low (<2500 g) than those normal (≥2500 g). power most limited admitted rule out sepsis. model containing SNAP, status improved inclusion two major diagnostic categories, disease complex illness. Conclusion. Although definite limitations who weigh 2500 g more, potent tool outcomes research. Modification some its parameters could result multifunctional scale suitable use weights.

参考文章(0)