This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow E-mail this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My File Cabinet
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Petridou, E.
Right arrow Articles by Trichopoulos, D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Petridou, E.
Right arrow Articles by Trichopoulos, D.
Related Collections
Right arrow Premature & Newborn
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

PEDIATRICS Vol. 101 No. 6 June 1998, pp. 1037-1044

Outcome Prediction in Greek Neonatal Intensive Care Units Using a Score for Neonatal Acute Physiology (SNAP)

Received Mar 7, 1997; accepted Oct 28, 1997.

Eleni Petridou*, Dagger , Donald K. Richardson§, Nick Dessypris*, Ariadne Malamitsi-Puchnerparallel , Stephane Mantagos, Dimitrios Nicolopoulosparallel , Constantine Papas#, , Heraclus Salvanos#, Sophie Sevastiadouparallel , John Sofatzis#, and Dimitrios Trichopoulos*, Dagger

From the * Department of Hygiene and Epidemiology, Athens University Medical School, Athens, Greece; Dagger  Department of Epidemiology, Harvard School of Public Health, and § Joint Program in Neonatology, Harvard Medical School, Boston, Massachusetts; parallel  Neonatal Department, Alexandra Maternity Hospital, Athens, Greece;  Division of Neonatology, Department of Pediatrics, University of Patras, Medical School, Patras, Greece; and # Neonatal Intensive Care Unit, Elena Venizelou Maternity Hospital, Athens, Greece.

Objectives.  This study was undertaken to evaluate the performance of the score for neonatal acute physiology (SNAP) in Greece, to examine the predictive power of SNAP calculated during the 12 hours after admission in comparison with customarily calculated SNAP during the first 24 hours, and to assess SNAP during the second 12 hours from admission as a measure of response to treatment.

Methodology.  A total of 579 newborns admitted to three neonatal intensive care units (NICUs) from two cities in Greece were enrolled in the study; SNAP was determined during the first 12 hours, the second 12 hours, and the first 24 hours from admission to the NICU and calculated using an algorithm based on deviations from normal values of 26 physiologic parameters.

Results.  All three variants of SNAP were powerful predictors of vital status at discharge, as well as of duration of stay among survivors. A five-point increase in SNAP in the first 12 hours corresponds to a more than twofold ratio in the odds for death, whereas a five-unit difference in SNAP from the second 12 hours corresponds to a more than threefold ratio. The combined 24-hour score was similar to that for the first 12 hours. A considerable advantage of SNAP was its independence from more traditional predictors of neonatal death, notably gestational age, birth weight, and Apgar score. The combination of all of these predictors improved further the overall predictive potential.

Conclusions.  SNAP is a useful tool in medical research and can be applied in different population groups. Its independence from birth weight underlines its added value to predict fatality ratios. Moreover, the results of the present study indicate that SNAP can be estimated without loss of predictive efficiency during the first 12 hours from admission to the NICU, whereas SNAP during the second 12 hours adequately reflects the effectiveness of early medical interventions.

Key words: score for neonatal acute physiology (SNAP), international performance, predictive power, neonatal intensive care unit (NICU).


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Arch. Dis. Child. Fetal Neonatal Ed.Home page
L Gagliardi, A Cavazza, A Brunelli, M Battaglioli, D Merazzi, F Tandoi, D Cella, G F Perotti, M Pelti, I Stucchi, et al.
Assessing mortality risk in very low birthweight infants: a comparison of CRIB, CRIB-II, and SNAPPE-II
Arch. Dis. Child. Fetal Neonatal Ed., September 1, 2004; 89(5): F419 - F422.
[Abstract] [Full Text] [PDF]

Home page
 Clin. Chem.Home page
C. Chiesa, A. Panero, J. F. Osborn, A. F. Simonetti, and L. Pacifico
Diagnosis of Neonatal Sepsis: A Clinical and Laboratory Challenge
Clin. Chem., February 1, 2004; 50(2): 279 - 287.
[Full Text] [PDF]

Home page
 Clin. Chem.Home page
C. Chiesa, G. Pellegrini, A. Panero, J. F. Osborn, F. Signore, M. Assumma, and L. Pacifico
C-Reactive Protein, Interleukin-6, and Procalcitonin in the Immediate Postnatal Period: Influence of Illness Severity, Risk Status, Antenatal and Perinatal Complications, and Infection
Clin. Chem., January 1, 2003; 49(1): 60 - 68.
[Abstract] [Full Text] [PDF]

Home page
 PediatricsHome page
M. M. Pollack, M. A. Koch, D. A. Bartel, I. Rapoport, R. Dhanireddy, A. A. E. El-Mohandes, K. Harkavy, K. N. S. Subramanian, and the District of Columbia Neonatal Network
A Comparison of Neonatal Mortality Risk Prediction Models in Very Low Birth Weight Infants
Pediatrics, May 1, 2000; 105(5): 1051 - 1057.
[Abstract] [Full Text]