Author Affiliations: Endocrine Research Unit, Mayo Clinic, Rochester, Minnesota.
Osteoporotic fractures have generally been defined as fractures that occur following relatively low trauma, such as a fall from standing height or less.1 Implicit in this definition is the assumption that this type of skeletal trauma would not result in fracture of a normal bone, since the strength of the bone should be able to withstand such force. A surrogate marker for bone strength now used and considered the current gold standard for diagnosing osteoporosis prior to the occurrence of a fracture is calculation of areal bone mineral density (BMD) by dual-energy x-ray absorptiometry. This technique measures the amount of mineral in bone (in grams), typically at the lumbar spine, proximal femur, or distal forearm, and divides this amount by the projected area of the bone, providing a density expressed in grams per centimeter squared. Low BMD is a robust predictor of osteoporotic fracture risk2 ; conversely, low-trauma fractures are related to BMD.3
In contrast to low-trauma fractures, the conventional view has been that high-trauma fractures, such as those related to a motor vehicle crash or fall from greater than standing height, should not be considered “osteoporotic” fractures, since even normal bones might be expected to fail under these greater loads. While plausible, this concept has not been rigorously tested. Moreover, the definition of high-trauma fractures has been fairly broad, ranging from severe forces that might cause any bone to fracture, to falls from a chair height that might not uniformly cause fracture. The specific definition of high-trauma fractures is of considerably more than academic interest, because current recommendations4 are to evaluate patients with low-trauma fractures at any age for an underlying metabolic bone disease, particularly osteoporosis, but not to pursue this assessment for patients sustaining high-trauma fractures. In addition, this definition has far-reaching consequences for the design and analysis of clinical trials involving prevention or treatment of osteoporosis. High-trauma fractures are generally excluded as end points in trials,5 a factor that has implications for determining the effects of a particular intervention on fracture risk.
In this context, the study by Mackey and colleagues6 in this issue of JAMA is of particular interest and has potential clinical importance. The authors used data from 2 large prospective cohort studies in the United States, the Study of Osteoporotic Fractures (SOF) in women and the Osteoporotic Fractures in Men Study (MrOS) in men to test whether there was an association between BMD and high-trauma fractures and whether high-trauma fractures increased risk of subsequent fracture in older women and men. The somewhat surprising, and perhaps counterintuitive, finding was that among women each 1-SD reduction in BMD was associated with virtually identical increases in risk of high-trauma fractures (multivariable relative hazard [RH], 1.45; 95% confidence interval [CI], 1.23-1.72) and low-trauma fractures (RH, 1.49; 95% CI, 1.42-1.57). Moreover, among women, the risk of subsequent fracture following a high-trauma fracture was the same as that following a low-trauma fracture (RH, 1.31; 95% CI, 1.20-1.43). Thus, high- and low-trauma fractures (at least based on how these are currently defined) increased risk of subsequent fracture to exactly the same extent. Similar trends were observed among men, although power was limited due to fewer fractures in men.
The study by Mackey et al6 has several strengths. It involved large numbers of patients (8022 women and 5995 men) who were followed up for fairly long periods (9.1 and 5.1 years, respectively). The determination of fractures appeared complete, including data from questionnaires, personal interviews, and clinical records coupled with radiological confirmation. However, there also were several limitations. Spine fractures were not evaluated, so the findings of the study might not be applicable to low- vs high-trauma spine fractures. In addition, all participants were 65 years or older, so the results may not apply to younger individuals. A previous retrospective case-control study of Australian women older than 50 years with high-trauma fractures also found that these women had lower BMD at the hip, spine, forearm, and total body sites as compared with control women.7
These caveats notwithstanding, the clinical implications of this study are important. Fractures previously defined as due to high trauma, such as those from a blunt injury in a motor vehicle crash or a fall from a chair, can no longer be dismissed as being unrelated to osteoporosis. Older patients who sustain such fractures should be considered for BMD testing and, if clinically indicated, further evaluation for osteoporosis. In addition, as noted by Mackey et al,6 clinical trials involving osteoporosis drugs should not exclude high-trauma fractures, or perhaps all high-trauma fractures, as end points, because doing so may underestimate the potential effect of the intervention on reduction of fracture risk.
The study by Mackey et al6 also provides possible reasons why the notion that these fractures be considered unrelated to BMD was incorrect. For example, the ribs and wrist were the most common sites of high-trauma fractures in older women and men. Although the exact predisposing etiologies and mechanisms of injury remain unclear and ill-defined, the conventional view that these fractures are unrelated to BMD may be incorrect. Accordingly, the existing definition of high-trauma fracture does not always appear to be clinically reliable in terms of identifying those fractures unrelated to BMD. Thus, one area for future investigation is to examine more closely the specific fractures classified as high-trauma fractures and subsequently to identify those that are related to BMD vs those representing such severe force that virtually any bone would fracture, regardless of BMD.
The findings reported by Mackey et al6 also highlight the importance of developing a more sophisticated understanding of the forces involved in various impacts at different skeletal sites; ultimately, the ratio of the load to the strength of the bone determines whether or not the bone fails.8 In addition, clinicians may be overly focused on BMD, which, although a reasonable surrogate for bone strength, does not completely define bone strength. Better understanding is needed about other structural factors, such as bone microstructure,9 that determine bone tensile strength, perhaps including going beyond simply measuring areal BMD to developing better ways to assess bone strength in vivo. This is being attempted with engineering techniques such as finite-element modeling based on computed tomography imaging10 and with newer, high-resolution peripheral quantitative computed tomography.11 These approaches, when combined with detailed models simulating various types of skeletal loads, may begin to more specifically identify the types of load-to-strength ratios that result in bone failure and ultimately lead to a rigorous definition of low- vs high-trauma fractures.
The study by Mackey et al6 clearly demonstrates that the current definition of high-trauma fracture is not particularly useful. Until a better definition of fractures unrelated to BMD is developed, older patients sustaining high-trauma fractures cannot be ignored in terms of their skeletal status, and they should be evaluated more thoroughly for underlying osteoporosis. In addition, these fractures should be included as end points in clinical trials involving prevention or treatment of osteoporosis.
Corresponding Author: Sundeep Khosla, MD, Department of Endocrinology, Mayo Clinic, 200 First St SW, Guggenheim 7, Rochester, MN 55905 (khosla.sundeep@mayo.edu).
Financial Disclosures: None reported.
Editorials represent the opinions of the authors and JAMA and not those of the American Medical Association.
Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature
Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal
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