Original Full Length ArticlePeripheral quantitative computed tomography measures are associated with adult fracture risk: The Hertfordshire Cohort Study
Introduction
In recent years, new techniques to assess bone strength have been developed, but longitudinal data relating measures obtained from these techniques to incident fractures are lacking [1]. One such technique is peripheral quantitative computed tomography (pQCT) [2]. This technique was introduced some years ago as a method for assessing volumetric bone mineral density (vBMD). This technique confers little risk to the individual because exposure to radiation occurs only at a localised, peripheral site and captures aspects of bone geometry that may contribute to fracture risk such as apparent trabecular bone structure. It also offers the ability to measure volumetric bone mineral density (vBMD) and can estimate trabecular and cortical compartments of bone. This is of particular interest as it has been suggested that alterations of cortical and trabecular structure are differentially associated with fragility fractures in postmenopausal women [3]. Case control studies using QCT techniques have highlighted differences in bone architecture and vBMD between individuals with or without fractures [4], [5], [6], [7] but while results from pQCT of the forearm using single slice acquisition protocols have been shown to differentiate between cases and controls in studies of hip fractures in post-menopausal women, results are mixed with some reporting and some failing to report differences [8], [9], [10], [11], [12], [13]. Furthermore, only one study has reported relationships between pQCT measures and fracture risk in men [14].
Further information about any clinical utility of this technology would therefore be helpful. Here we present results from the Hertfordshire Cohort Study (HCS), where we studied associations between measures obtained at multiple slices of the radius and tibia from pQCT, with incident fracture. Participants in the HCS were all born in Hertfordshire between 1931 and 1939, and at the time of the baseline visit for this study (in 2005–2006), were of mean age 69 years.
Section snippets
Materials and methods
In the late 1990s, 1579 men and 1413 women aged 60–75 years were recruited to a study, which was designed to examine the relationship between growth in infancy and the subsequent risk of adult disease, including osteoporosis (the Hertfordshire Cohort Study). The selection procedure for these individuals was as follows: in brief, with the help of the National Health Service Central Registry at Southport and Hertfordshire Family Health Service Association, we traced men and women who were born
Statistical methods
Normality of variables was assessed by comparing histograms of the data with normal probability curves and by inspecting QQ plots and variables transformed as required. Standard deviation (SD) scores were calculated by subtracting the mean of a pQCT measure from each individual value and dividing by the standard deviation. Negative SD scores were derived by multiplying the SD score by − 1. Cox's proportional hazard models were used to assess the associations between each pQCT measure and
Results
The characteristics of the study population at baseline are displayed in Table 1. The flow of participants through the study is illustrated in Fig. 1. The mean age at follow-up was 75.5 (SD 2.5) years in men and 75.8 (SD 2.6) years in women.
Twenty seven women and 13 men reported a fracture occurring during the follow-up period after bone assessment by DXA and pQCT. The distribution of fracture was as follows: upper limb: men: 5, women: 12; clinical vertebral: men: 1, women: 2; hip: men: 0,
Discussion
We have shown that measures of bone density and strength as assessed by pQCT are associated with fracture, particularly among women. We also found that in men and in one instance among women, relationships between pQCT measures and fractures remained after adjustment for aBMD, suggesting that these measures of bone mass and strength may contribute additional information regarding fracture risk. The power calculation performed and described below makes us reluctant to over-interpret the sex
Disclosures
EMD, KAJ, MHE, HD, and AAS have no disclosures to declare. CC has received consulting and lecture fees from AMGEN, GSK, Alliance for Better Bone Health, MSD, Eli Lilly, Pfizer, Novartis, Servier, Medtronic and Roche.
Acknowledgments
The Hertfordshire Cohort Study was supported by the Medical Research Council of Great Britain (U.1475.00.003.00010.02/U147585819) and Arthritis Research UK (19583). We thank all of the men and women who took part in the Hertfordshire Cohort Study; the HCS Research Staff; and Vanessa Cox who managed the data.
EMD and CC made substantial contributions to the conception and design of the study. EMD and CC were involved in data acquisition. EMD drafted the manuscript with input from ME, AAS, and CC.
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