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Selecting Patients for Bone Mass Measurements: Self-Assessment Indices

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Bone Densitometry in Clinical Practice

Part of the book series: Current Clinical Practice ((CCP))

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Abstract

Self-assessment indices are questionnaires or nomograms that utilize risk factors for low bone mass or osteoporosis to identify women who are likely to have a low bone density. Most indices have focused on women although self-assessment indices have begun to appear for men. Women and men who are identified in this fashion should be considered candidates for a bone density measurement. Although a man or woman can have a low bone density in the absence of any identifiable risk factors, these indices are useful in a variety of ways. They can help select those individuals who are less likely to have a low bone density as well as those who are more likely. Because most of these indices can be self-administered by the patient, they foster patient education and awareness and encourage the patient to initiate the discussion of bone density testing and osteoporosis with the physician.

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Notes

  1. 1.

    See Chapter 3 for a discussion of regression analysis, sensitivity, and specificity, ROC curves and likelihood ratios.

  2. 2.

    See Chapter 3 for a discussion of linear regression.

  3. 3.

    The example is calculated as follows: +5 for race, 0 for no history of rheumatoid arthritis, +4 for the history of wrist fracture after age 45, +(3 × 6) for age, +1 for history of no estrogen use, and – (1 × 12) for weight. The sum is 16.

  4. 4.

    The Canadian Multicentre Osteoporosis Study (CaMos) is a population-based cohort study in which risk factors for osteoporosis, BMD, and osteoporotic fracture are being evaluated over a 5-year period.

  5. 5.

    See Chapter 9 for a discussion of the World Health Organization criteria for the diagnosis of osteoporosis based on measurement of the bone density.

  6. 6.

    See Chapter 6 for a discussion of the NHANES III proximal femur database.

  7. 7.

    The OSTA score is calculated as follows: (56 – 64) × 0.2 = –1.6. This value is truncated to an integer resulting in an OSTA score of –1.

  8. 8.

    Note that the original OSTA index cutpoint value for women was –1 or below, not 0 or below.

  9. 9.

    The Study of Osteoporotic Fractures (SOF) is a prospective study of 9704 women at least 65 years of age. Caucasian women make up 99.7% of the study population.

  10. 10.

    The score of 4 is used as a dichotomous cutpoint. The sensitivity and specificity given here are for all scores of 4 or higher considered as a group, while a second group would be all scores of 3 or lower. The specificity and sensitivity for an exact score of 4, 5 or 6, etc. would be different.

  11. 11.

    EPIDOS is a prospective study of risk factors for hip fracture in France. 7575 women aged 75 and older were recruited for the study during 1992 and 1993 and followed every 4 months for the duration of the study. The data presented here is based on a mean follow-up of 4 years.

  12. 12.

    See Chapter 7 for a discussion of the 1998 NOF guidelines.

  13. 13.

    The mean and SD at the femoral neck in the NHANES III non-Hispanic white female database are 0.858 g/cm2 and 0.120 g/cm2, respectively.

  14. 14.

    NOF guidelines 2; SCORE 6; ORAI 9; ABONE 2; Weight < 154 lb (70 kg)

  15. 15.

    See Chapter 3 for a discussion of sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC).

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Correspondence to Sydney Lou Bonnick MD, FACP .

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Bonnick, S.L. (2010). Selecting Patients for Bone Mass Measurements: Self-Assessment Indices. In: Bone Densitometry in Clinical Practice. Current Clinical Practice. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-60327-499-9_8

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  • DOI: https://doi.org/10.1007/978-1-60327-499-9_8

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  • Publisher Name: Humana Press, Totowa, NJ

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