All these tools have been developed in women, validated in independent cohorts and the performance of the tools was similar to that seen in the development cohorts [15], [18], [19] and [20]. OST has been validated in both men [21] and women [20] and [22]; validation studies of the other tools included only women. Since the release of FRAX® in 2008, a number of studies have compared the performance of FRAX® with other online risk algorithms with an outcome of 5 or 10-year probability of fractures and several

other parsimonious models including age. Most of Selleck BMS-354825 these studies conclude that simpler models perform as well as FRAX® in predicting fractures. Kanis et al. [23] have criticized the conclusions of these studies in part because of the comparison of FRAX® with what Kanis et al. called “home grown” models. Such bespoke models included age or BMI alone, age plus BMI, age plus previous fracture. OST, ORAI, OSIRIS and SCORE include some of the same risk factors and they are also simpler than FRAX. However, tools will always perform well within the derivation cohort and the test of their performance lies in verification within other cohorts. To date none has tested the performance of FRAX® compared with the simple well validated osteoporosis risk assessment tools (ORAI,

OSIRIS, OST and SCORE) and it is uncertain whether FRAX® performs better that these simpler tools. Therefore the aim ABT-199 of the present study was to compare

the power of FRAX® (without BMD) and simpler screening tools (OST, ORAI, OSIRIS, SCORE and age alone) in predicting fractures. We hypothesized that the more complex FRAX® (without BMD) tool predicts fracture better than OST, ORAI, OSIRIS, SCORE and age alone. This study was a prospective, population-based study performed in the Region of Southern Denmark. Study design and baseline data have been reported previously [24]. In brief, data on self-reported risk factors were collected in a random sample of the population in spring 2009. Data regarding fractures (type and date) during follow-up were extracted NADPH-cytochrome-c2 reductase from the Danish National Patient Register (NPR) and information on death and emigration were extracted from the Danish National Civil Registration System (NCR) after three years of follow up. From the NCR we randomly selected 5000 women living in the Region of Southern Denmark, aged 40–90 years, stratified by decades. During the period from March to May 2009, a self-administered questionnaire concerning risk factors for osteoporosis was issued to the study population together with a pre-paid return envelope. Reminders were mailed to non-respondents twice.