Prediction of peripheral fracture risk by quantitative microdensitometry

Area of Science:

• Gerontology
• Orthopedics
• Radiology

Background:

• Osteoporotic fractures pose a significant health risk, particularly in aging populations.
• Early identification of individuals at high risk is crucial for effective prevention strategies.

Purpose of the Study:

• To evaluate the efficacy of quantitative microdensitometry (QMD) as a screening tool for identifying women at high risk of peripheral osteoporotic fractures.
• To assess the predictive value of bone mineral density (BMD) and bone loss measurements for fracture risk.

Main Methods:

• Bone mineral density (BMD) of the index finger was measured in 612 women in 1984 and 440 women in 1989.
• Cox proportional hazards models and receiver operating characteristic (ROC) curves were employed to analyze fracture risk associated with BMD and bone loss.
• The discriminative power of single and serial BMD measurements was compared using the area under the curve (AUC).

Main Results:

• Women in the lowest quartiles of bone density had a 1.4-2.8 times higher risk of fracture compared to those in the highest quartile.
• Women in the highest quartile of bone loss exhibited a 6.9-7.5 times higher fracture risk.
• A single BMD measurement had moderate discriminative power (AUC 63%), while two measurements over 5 years improved discrimination (AUC 74%, P < 0.05).

Conclusions:

• Phalangeal BMD and bone loss, assessed by QMD, are significant risk factors for peripheral osteoporotic fractures.
• Despite identifying risk factors, QMD is not an efficient screening instrument for selecting women with the highest fracture risk.