View Entire Collection
By Clinical Topic
By State Requirement
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
FRIDAY, Nov. 20 (HealthDay News) -- Two new algorithms, QFractureScores, may accurately predict fracture risk without laboratory measurements, and may be suitable for use in both clinical settings and for self assessment, according to a U.K. study published online Nov. 19 in BMJ.
Julia Hippisley-Cox, M.D., of the University of Nottingham in the United Kingdom, and a colleague collected data from 357 general practices to develop the scores, and from 178 practices to validate the scores.
The researchers found that the QFractureScores showed good discrimination, as these algorithms were able to differentiate between subjects who did and did not subsequently develop a fracture. They were also able to explain more than 60 percent of the variation for hip fracture. In addition, QFractureScores improved discrimination compared with the fracture risk assessment (FRAX) algorithm for hip fracture. In their analysis, the D statistic, a measure of discrimination where higher values indicate better discrimination, had values that were 0.11 higher in women and 0.17 higher in men.
"The validation statistics for the hip fracture algorithm suggest that the models are likely to be at least as effective at identifying patients at high risk of hip fracture within primary care as the FRAX algorithm," the authors conclude.
The study was funded by the medical director of EMIS. One of the authors reported a financial relationship with EMIS and a software company. Another author serves as a consultant statistician for the same software company.
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