Classification Tree of Miller et al for Predicting the Short Term Risk of Fracture in an Osteopenic Postmenopausal Woman

Description

Miller et al developed a classification tree to identify postmenopausal women with osteopenia who are at increased short-term risk of fracture. These can help identify a woman who may benefit from interventions to reduce the risk. The authors are from the Colorado Center for Bone Research, University of Colorado, University of California San Diego and Columbia University.

Patient selection: postmenopausal White woman with a T score of -2.5 to -1.0 (measured at various sites using various methods)

Interval defining a short-term: 1 year

Parameters:

(1) history of previous osteoporotic fracture

(2) T score

(3) self-reported health status (excellent, very good, good, fair, or poor)

(4) self-reported mobility (poor or not poor)

History of OP Fracture	T Score	Health Status	Mobility	Risk of New Fracture
Yes	NA	NA	NA	4%
No	-2.5 to -1.8	NA	NA	2%
No	-1.7 to -1.0	fair to poor	NA	2%
No	-1.7 to -1.0	good or better	poor	2%
No	-1.7 to -1.0	good or better	fair or better	1%

where:

• -1.75 is midway in the T score range of -2.5 to -1.0.

• In the classification tree the T score cutoff was -1.83 was used but -1.8 was used in the prediction rule.

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Description

Specialty

ICD-10