SCORE (Osteoporosis Risk)
Info
Select Race African-American Caucasian (White) Asian Hispanic Other
Does patient have rheumatoid arthritis? Yes No
Does the patient have history of non-traumatic fractures after age 45 year
Hip
Rib
Wrist
Enter patient's current age
Does the patient currently take or in the past has ever took estrogen? Yes No
Weight type Pounds Kgs
Weight
R e s u l t s
---
 
-
 
Show Results
Info
SCORE (Osteoporosis Risk)

The Simple Calculated Osteoporosis Risk Estimation (SCORE) was developed looking at women >=45 years of age who were post-menopausal. In this population, 89% were Caucasian and 38% had low BMD at the hip and 24% of the spine (T score <=-2 SD from mean).

This tool asks the following 6 questions:

  1. Race
    - If race is "Not Black" then 5 points are given
  2. Rheumatoid arthritis (RA)
    - If RA is present, 4 points are given
  3. History of fractures
    - This applies to each type (forearm/wrist, hip or rib) of non-traumatic fracture that occurred after age 45 years; each fracture receives 4 points (maximum 12 points)
  4. Age
    - The first digit of the age is multiplied by 3 to get the total points (e.g. 48 would be 4 × 3 = 12 points)
  5. Estrogen
    - If the women have never received estrogen therapy, 1 point is scored
  6. Weight
    - Body weight in pounds is divided by 10 and multiplied by -1 (e.g. 160 lbs would be score -16 points)

The score is the sum of all points from these 6 questions. A score of 6 or higher is felt to indicate significant risk of Osteoporosis. Sensitivity was 89%, Specificity 50%.

Reference:

  • Ben Sedrine W, Devogelaer JP, Kaufman JM, et al. Evaluation of the simple calculated osteoporosis risk estimation (SCORE) in a sample of white women from Belgium. Bone. 2001;29(4):374-80.
  • Chan SP, Teo CC, Ng SA, et al. Validation of various osteoporosis risk indices in elderly Chinese females in Singapore. Osteoporos Int. 2006;17(8):1182-8.
  • Lydick E, Cook K, Turpin J, et al. Development and validation of a simple questionnaire to facilitate identification of women likely to have low bone density. Am J Manag Care. 1998;4(1):37-48.