The mortality index for neonatal transportation score: A new mortality prediction model for retrieved neonates

Pediatrics

Volumn 114, Issue 4, 2004, Pages

  Broughton, Simon J ^a   Berry, Andrew ^b   Jacobe, Stephen ^b   Cheeseman, Paul ^a   Tarnow Mordi, William O ^c   Greenough, Anne ^a,d  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b New South Wales Newborn and Pediatric Emergency Transport Service   (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

^d KING S COLLEGE HOSPITAL   (United Kingdom)

Author keywords

Neonatal mortality; Neonatal transport; Retrieval

Indexed keywords

AGE; APGAR SCORE; AREA UNDER THE CURVE; ARTERIAL OXYGEN TENSION; ARTICLE; BIRTH WEIGHT; CONGENITAL MALFORMATION; DATA BASE; GESTATIONAL AGE; HEALTH SERVICE; HEART RATE; HUMAN; INFANT; MEDICAL INFORMATION; NEWBORN; NEWBORN MORTALITY; PATIENT TRANSPORT; PH; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; ROC CURVE; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL; TELEPHONE; VALIDATION PROCESS; ANALYSIS OF VARIANCE; AUSTRALIA; FACTUAL DATABASE; INFANT MORTALITY; NEWBORN INTENSIVE CARE; PATIENT REFERRAL; PROGNOSIS; STATISTICS;

ANALYSIS OF VARIANCE; DATABASES, FACTUAL; HUMANS; INFANT MORTALITY; INFANT, NEWBORN; INTENSIVE CARE UNITS, NEONATAL; LOGISTIC MODELS; NEW SOUTH WALES; PROGNOSIS; REFERRAL AND CONSULTATION; ROC CURVE; TRANSPORTATION OF PATIENTS;

EID: 16644399387     PISSN: 00314005     EISSN: 00314005     Source Type: Journal    
DOI: 10.1542/peds.2003-0960-L     Document Type: Article

References (15)

1. Lee SK, Zupancic JA, Pendray M, et al. Transport Risk Index of Physiologic Stability: a practical system for assessing infant transport care. J Pediatr. 2001;139:220-226
2. Ferrara A, Atakent Y. Neonatal Stabilization Score: a quantitative method of auditing medical care in transported newborns weighing less than 1,000 g at birth. Med Care. 1986;24:179-187
3. Shann F, Pearson G, Slater A, Wilkinson K. Paediatric Index of Mortality (PIM): a mortality prediction model for children in intensive care. Intensive Care Med. 1997;23:201-207
4. Kanter RK, Edge WE, Caldwell CR, Nocera MA, Orr RA. Pediatric mortality probability estimated from pre-ICU severity of illness. Pediatrics. 1997;99:59-63
5. Maier RF, Rey M, Metze BC, Obladen M. Comparison of mortality risk: a score for very low birthweight infants. Arch Dis Child Fetal Neonatal Ed. 1997;76:F146-F150
6. Richardson DK, Gray JE, McCormick MC, Workman K, Goldmann DA. Score for Neonatal Acute Physiology: a physiologic severity index for neonatal intensive care. Pediatrics. 1993;91:617-623
7. The International Neonatal Network. The CRIB (Clinical Risk Index for Babies) score: a tool for assessing initial neonatal risk and comparing performance of neonatal intensive care units. Lancet. 1993;342:193-198
8. Horbar JD, Onstad L, Wright E. Predicting mortality risk for infants weighing 501 to 1500 grams at birth: a National Institutes of Health Neonatal Research Network report. Crit Care Med. 1993;21:12-18
9. Parry G, Tucker J, Tarnow-Mordi W. CRIB II: an update of the Clinical Risk Index for Babies score. Lancet. 2003;361:1789-1791
10. Pollack MM, Ruttimann UE, Getson PR. Pediatric Risk of Mortality (PRISM) score. Crit Care Med. 1988;16:1110-1116
11. Lemeshow S, Le Gall JR. Modeling the severity of illness of ICU patients: a systems update. JAMA. 1994;272:1049-1055
12. Laupacis A, Sekar N, Stiell IG. Clinical prediction rules: a review and suggested modifications of methodological standards. JAMA. 1997;277:488-494
13. Hosmer DW, Hjort NL. Goodness-of-fit processes for logistic regression: simulation results. Stat Med. 2002;21:2723-2738
14. Casey BM, McIntire DD, Leveno KJ. The continuing value of the Apgar score for the assessment of newborn infants. N Engl J Med. 2001;344:467-471
15. Richardson DK, Corcoran JD, Escobar GJ, Lee SK. SNAP-II and SNAPPE-II: simplified newborn illness severity and mortality risk scores. J Pediatr. 2001;138:92-100