Transport risk index of physiologic stability: a practical system for assessing infant transport care.
OBJECTIVE
To develop and validate a practical, physiology-based system for assessment of infant transport care.


METHODS
Transport teams prospectively collected data, before and after transport, from 1723 infants at 8 neonatal intensive care units (NICUs) from 1996 to 1997. We used logistic regression to derive a prediction model for mortality within 7 days of NICU admission and develop the Transport Risk Index of Physiologic Stability (TRIPS). We validated TRIPS for prediction of 7-day mortality, total NICU mortality (until discharge), and severe (> or =grade 3) intraventricular hemorrhage.


RESULTS
TRIPS comprises 4 empirically weighted items (temperature, blood pressure, respiratory status, and response to noxious stimuli). TRIPS discriminated 7-day NICU mortality and total NICU mortality from survival with receiver operating characteristic areas of 0.83 and 0.76, respectively. There was good calibration across the full range of TRIPS scores and gestational age groups. Increase and decrease in TRIPS scores after transport were associated with increased and decreased mortality, respectively. The receiver operating characteristic area for TRIPS prediction of severe intraventricular hemorrhage was 0.74. Addition of TRIPS improved performance of prediction models in which gestational age and baseline population risk variables were used.


CONCLUSIONS
TRIPS is validated for infant transport assessment.
Lee
S K
SK
Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.
Zupancic
J A
JA
Pendray
M
M
Thiessen
P
P
Schmidt
B
B
Whyte
R
R
Shorten
D
D
Stewart
S
S
D018806:APACHE; D001794:Blood Pressure; D002170:Canada; D005260:Female; D006801:Humans; D007226:Infant Mortality; D007231:Infant, Newborn; D007363:Intensive Care Units, Neonatal; D016015:Logistic Models; D008297:Male; D010360:Patient Transfer; D011446:Prospective Studies; D012372:ROC Curve; D012119:Respiration; D012307:Risk Factors