More than twenty-five years ago, I first consulted with several of the individuals who developed the bone density testing machines. The hope was clear — if we could measure bone density we would be able to predict who will experience an osteoporotic fracture. The concept was quite simplistic; it assumed that the most important fracture-determining factor was low bone density. Over the last decades, bone density testing has become widespread; yet the hope for a simple, straight predictor of fracture has faded.
Today, nearly three decades later, we realize that you cannot predict who will fracture from measurements of bone density alone. In fact, recent large studies show that a large percentage of people who do fracture do not have osteoporotic bone density, but actually have only osteopenia or even normal bone density. Furthermore, many people with an osteoporotic bone density never fracture.
As early as the mid 1980’s, thoughtful osteoporosis researchers noted that hip fractures could not simply be attributed to low bone mass. As Steven Cummings wrote in 1985, “Patients with hip fractures do not appear to be distinctly more osteoporotic than persons of similar age. Therefore, factors besides bone mass, such as a tendency to fall, may be important determinants of which elderly persons will have fractures; thus, measurements of bone mass might not be a reliable way to identify those at greatest risk of hip fracture.”
Over the last two decades numerous clinical trials have borne out the truth of Dr. Cummings’s early observation. For example, the US Study of Osteoporotic Fractures (SOF) looked at 8,065 women 65 and older, following them for hip fracture incidence over a five year period. Within these five years, 243 hip fractures occurred, 54% of which were in women who did not have an osteoporotic bone density at the start of follow-up. Further reports from this same Study of Osteoporotic Fractures database found that only 10% to 44% of osteoporotic fractures occurred in those with an osteoporotic bone density. As these authors summarize, “Finding effective prevention strategies for fractures in older women will require additional interventions beside [sic] preventions for bone loss, such as prevention of falls and other fracture risk factors.”
The same has been found true in other large studies of osteoporotic fractures, such as the 149,524-women US National Osteoporosis Risk Assessment (NORA) study. Over a one-year period in this large group of women (mean age 64.5), 2,259 new fractures were self-reported, including 393 hip fractures. Of those who fractured, a full 82% had a non-osteoporotic bone density (greater than -2.5 SD T-score) and a full 67% had a T-score greater than -2.0. In total, 6.4% of all women had an osteoporotic bone density. Although fracture rates were highest in this “osteoporotic bone mineral density” group, these women experienced only 18% of all osteoporotic fractures and 26% of all hip fractures.
All in all, many factors are as important, or even more important, indicators of fracture risk than is bone mineral density. For example, fracture after age 40, parental history of hip fracture, low body weight, high rate of bone resorption, deficiencies of vitamins D and K, use of steroid medications, and several other factors are stronger fracture predictors than bone mineral density.
So a new question arises. How can we tell who will experience an osteoporotic fracture? We now realize that the answer lies not in any single factor like bone density, but rather in assessment of multiple risk factors. What we are already beginning to see is a series of assessment tools which allow individuals and health practitioners to sort out who is likely to fracture according to a series of important variables, not just according to bone mineral density. Further we see that the operative risk factors may vary somewhat by populations studied.
One of the best known early fracture assessment tools is the “Fracture Index.” This index was developed using data from the large US Study of Osteoporotic Fractures (SOF). In the SOF, a total of 7,782 US women aged 65 and older were studied over five years.
In the SOF, measurements over time were made of bone density and other variables which were thought to reflect upon bone strength. These variables were compared with actual fracture incidence allowing for the development of a fracture risk screening and assessment tool. With this large data base, researchers identified a seven-variable model which allowed them to make a fairly accurate prediction of the five-year risk of suffering an osteoporotic fracture for any individual.
So what were the factors and variables that seem to determine if one will facture or not? According to the SOF research, the seven most important factors were found to be:
According to researchers, this simple seven-factor assessment was shown to be predictive of hip fracture, as well as other non-vertebral fractures. It is also interesting that this risk assessment was shown to be predictive of fracture likelihood with or without incorporating one’s bone density into the assessment. Subjects with the greatest number of risk factors, even without accounting for bone mineral density, had a 14-fold increase risk of fracture as compared to those with the lowest number of risk factors.
In a similar fashion, the large Women’s Health Initiative (WHI) study used its data to develop another five-year fracture risk assessment tool. This 7.6-year trial studied 93,676 women of various ethnic backgrounds, ages 50 to 79 at entry. They found that each year some 1.6% of all women suffered hip fractures. From their analysis they developed a risk assessment tool identifying 11 key risk factors (not including bone density) to predict who would fracture a hip over the next five years. This model, based on these key risk factors, was found to be of similar predictive value as the more expensive bone density tests.
More than half of all low-trauma osteoporotic fractures among women occur in those who do not have an “osteoporotic” bone density; rather, they occur in women with an osteopenic bone density or, even in some cases, a normal bone density. Obviously in these cases we must look beyond bone density in our attempt to assess who is likely to fracture.
Data from the large NORA study attempted to identify those osteopenic women at short-term risk for fracture. In the NORA study, 57,421 post-menopausal women ages 50 to 99 were identified as having osteopenia. That means they had a bone mineral density from -1.0 to -2.5 SD T-score. In this study, bone density was measured at the heel, forearm, or hand. These women had bone density lower than that of young women, but they did not have an “osteoporotic” bone density (-2.5 SD T-score or more). Of the osteopenic women studied, 130 reported new fractures within one year of the bone density measurement.
Four risk factors were found to be the most important for identifying those at highest risk of short-term fracture. These were:
Women with a previous fracture had a one-year fracture risk of 4.1%, followed by women with T-scores of -1.8 or less or with poor health status. Nearly 2% of the women with poor mobility came to fracture within the year. About 1% of the osteopenic women not identified as being at risk experienced a fracture within the year. This 1% per year fracture incidence is the same as that found among women with normal bone density.
Other interesting findings of this study showed that being younger did not seem to protect the early post-menopausal women.
Over the years the World Health Association (WHO) has analyzed various large population-based studies to develop a fracture risk assessment tool based on clinical factors. This assessment tool is designed to be useful both with and without bone density measurements and indeed, this is important, as much of the world does not have access to bone density measurements. Completed in March 2008, the WHO Fracture Risk Assessment Tool identifies 10 factors found to increase fracture risk independent of bone mineral density. (See http://www.shef.ac.uk/FRAX.) The independent risk factors are:
At age 40, a US Caucasian woman weighing 135 lbs at 5’8” with none of the WHO risk factors has a 2.3% risk of experiencing a major osteoporotic fracture within ten years. The same woman with five of the WHO risk factors has a 15% risk of experiencing a major osteoporotic fracture. At age 65, the same woman with none of the WHO risk factors has a 14% chance of experiencing a major osteoporotic fracture within ten years. This same woman at 65, with five of the WHO risk factors, has a 55% risk of experiencing a major osteoporotic fracture. At age 80, the woman with none of the WHO risk factors has a 28% chance of experiencing a major osteoporotic fracture within ten years. The same 80-year old woman with five of the WHO risk factors has a 71% risk of experiencing a major osteoporotic fracture.
| Age | Weight & Height | Number of Additional “WHO” Risk Factors | Risk % for a Major Osteoporotic Fracture within 10 Years |
| 40 | 135 lbs. / 5’8 | 0 | 2.3% |
| 40 | 135 lbs. / 5’8 | 5 | 15% |
| 65 | 135 lbs. / 5’8 | 0 | 14% |
| 65 | 135 lbs. / 5’8 | 5 | 55% |
| 80 | 135 lbs. / 5’8 | 0 | 28% |
| 80 | 135 lbs. / 5’8 | 5 | 71% |
You may want to take this risk assessment yourself. It can be done with or without a bone density measurement. The link is: http://www.shef.ac.uk/FRAX
This is a fascinating question which we have just begun to ask. I am confident the answer will be yes, risk does vary by ethnicity. Even with the little bit of existing research we have on the topic, we know that bone mineral density in Black women does not carry with it the same risk of fracture as it does among Caucasian women. Black women have about 30% fewer fractures at any given bone mineral density than Caucasian women. We also know that overall, Asians experience far fewer fractures than do Caucasians, yet their bone density is significantly lower.
As director of the Better Bones Foundation, I know that multi-variable risk assessments are indeed the tools of the future. I am not sure, however, whether the 7 variable model set forth by the US Study of Osteoporotic Fractures, or the 11-factor model from the Women’s Health Initiative, or even the new WHO assessment will end up being the best risk assessment tool. Yet there are a few things we do know for sure. One is that bone strength is determined by many factors, not just bone density; and many factors contribute to bone weakness. Further, every day we come to understand more about important new fracture risk factors which are yet to be incorporated in these risk assessment tools.
As new questions are asked and new research unfolds, we are confident that many more new risk factors will become more important than bone mineral density. The new important fracture risk factors I would like to review are:
Bone can be visualized as a living protein sponge matrix upon which mineral crystals are imbedded. As bone is lost, this living protein matrix breaks down and is excreted in the urine. The more bone protein fragments found in the urine, the higher the rate of bone breakdown. This is known as the rate of bone resorption. High bone resorption generally indicates a high rate of bone loss. Urine tests which measure bone resorption include the NTx, CTx, and the free deoxypryidinoline urine Dpd tests. These urine indices of skeletal turnover are as useful, or nearly as useful, as bone density in predicting fractures. They are fracture risks independent of bone density. Further, the combination of high bone resorption and low bone density is especially predictive of increased fracture risk.
Only recently have we begun to understand the overwhelming importance of vitamin D in fracture prevention. While it is beyond the scope of this article, suffice it to report that the vast majority of hip fractures occur in vitamin D deficient people. Among those who experience an osteoporotic fracture, vitamin D deficiency is the rule, not the exception. For example, a Minnesota hospital study of 82 minimal-trauma fracture patients ages 52-97 found that 97% of the fractures were hip fractures and that all but two of the patients had deficient vitamin D status (less than 30 ng/mL). In a large British study, vitamin D deficiency was found in 95% of hip fracture patients. Further supporting this, 78% of hip fracture patients in a Boston study were vitamin D deficient. Findings such as these have led some researchers to ask if vitamin D level is not the best predictor of fracture risk.
While only limited research attention has been given to the vitamin K-fracture link, the powerful role of this nutrient in fracture prevention is obvious. European researchers have shown that the marker of vitamin K insufficiency (undercarboxylated osteocalcin) strongly predicts fracture. Those with the greatest signs of vitamin K insufficiency were found to have twice the risk of hip fracture, independent of bone density. Further, a combination of low vitamin K status and low bone density increased one’s risk of hip fracture by more than five-and-a-half-fold.
It has long been known that the use of corticosteroids like prednisone greatly increase one’s risk of fracture. Now researchers are beginning to uncover links between other medications and fracture risk. For example, a recent British study found that those using higher doses of acid blockers (proton pump inhibitors) for more than a year had a 250% increased risk of hip fracture than non-users. Anti-depressants are another example of medications that increase fracture risk. Recently the large CAMOS 5-year Canadian osteoporosis study found that use of anti-depressants known as serotonin reuptake inhibitors (SSRI’s) was associated with increased fracture risk. Individuals using these medications, such as Prozac, Zoloft, and Paxel, for five years or more, had twice the risk of osteoporotic fracture than those not using these drugs. Further, hip bone density was 4% lower and spinal bone density 2.4% lower in those who used anti-depressants as compared to non-users.
While it is interesting to look at large studies and try to sort out the characteristics of folks at high risk for fracture, it is important to keep in mind that we can only predict relative fracture risk. We cannot foretell who will fracture. As research continues, more fracture risk factors will be uncovered and a relative weighting of their importance outlined. In the meantime, the known cluster of bone-weakening factors now include advancing age, low body weight, inadequacies of vitamins D and K, parental hip fracture, personal low-trauma fracture, selected medications, fragility and poor mobility, poor general health, high bone resorption, and low bone density.