View Entire Collection
By Clinical Topic
Diabetes – Summer 2012
Future of Nursing Initiative
Heart Failure - Fall 2011
Influenza - Winter 2011
Nursing Ethics - Fall 2011
Trauma - Fall 2010
Traumatic Brain Injury - Fall 2010
Fluids & Electrolytes
THURSDAY, Sept. 16 (HealthDay News) -- Researchers have developed a noninvasive tool based on gestational age, birth weight, and real-time data routinely collected in neonatal intensive care units to predict morbidity risk in premature infants; their findings have been published in the Sept. 8 issue of Science Translational Medicine.
Suchi Saria, of Stanford University in Palo Alto, Calif., and colleagues validated a physiological assessment score they developed for preterm newborns on 138 infants to determine the effectiveness of the algorithm for prospectively identifying premature infants at risk for short- and long-term morbidity.
The researchers found that the score, called PhysiScore, outperformed the standard Apgar score and other neonatal scoring systems. It predicted overall morbidity with 86 percent sensitivity and 96 percent specificity, and specific complications at 90 to 96 percent sensitivity and 100 percent specificity.
"Our flexible methodology of individual risk prediction based on automated, rapid, noninvasive measurements can be easily applied to a range of prediction tasks to improve patient care and resource allocation," the authors write.
Full Text (subscription or payment may be required)
Find in-depth content on major issues provided by leading companies in partnership with NursingCenter.com
BD Safety Beyond Needlestick Prevention Learning Center
Sponsored by BD Medical
Sign up for our free enewsletters to stay up-to-date in your area of practice - or take a look at an archive of prior issues
Join our CESaver program to earn up to 100 contact hours for only $34.95
Explore a world of online resources
Back to Top