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70岁以下男性骨质疏松症的一种新预测指数:一种通过骨密度识别男性骨质疏松症筛查候选者的指数。

A New Predictive Index for Osteoporosis in Men under 70 Years of Age: An Index to Identify Male Candidates for Osteoporosis Screening by Bone Mineral Density.

作者信息

Kim Lee Oh, Kim Hyeon-Ju, Kong Mi Hee

机构信息

Department of Family Medicine, Jeju National University Hospital, Aran 13gil 15, Jeju-si, Jeju 690-767, Republic of Korea.

Department of Family Medicine, Jeju National University Hospital, Aran 13gil 15, Jeju-si, Jeju 690-767, Republic of Korea ; Department of Family Medicine, School of Medicine, Jeju National University, Jeju, Republic of Korea.

出版信息

J Osteoporos. 2014;2014:781897. doi: 10.1155/2014/781897. Epub 2014 Mar 3.

Abstract

Background. Bone mineral density (BMD) screening guidelines for osteoporosis in men seem to have remained unclear. We aimed to set up a predictive index for the osteoporosis(PIO) in men under 70 years of age and present the optimal cutoff value of it, so that clinicians might use it to identify male candidates who benefit from taking the BMD screening. Methods. Adult men under 70 years old who met certain criteria were included. With the determined significant predictors for osteoporosis, we created a new index that presumably best predicts the osteoporosis and compared the predictability of it to other variables. Lastly, the optimal cutoff value of the PIO was calculated. Results. A total of 359 men were included. Age, weight, and current smoking status turned out to be significant predictors for osteoporosis. The PIO was as follows: [age(years) + 10 (for current smoker)]/weight(kg). Compared to other variables, the PIO showed the greatest predictive performance with the optimal cutoff point being 0.87 at which sensitivity and specificity were 71.9% and 70.0%, respectively. Conclusion. A new predictive index appeared to predict the presence of osteoporosis fairly well and thus can be used with its cutoff point to identify men under 70 years of age who need BMD screening.

摘要

背景。男性骨质疏松症的骨密度(BMD)筛查指南似乎仍不明确。我们旨在建立一个70岁以下男性骨质疏松症预测指数(PIO),并给出其最佳临界值,以便临床医生能够使用该指数来识别可能从骨密度筛查中获益的男性对象。方法。纳入符合特定标准的70岁以下成年男性。根据确定的骨质疏松症显著预测因素,我们创建了一个可能最能预测骨质疏松症的新指数,并将其预测能力与其他变量进行比较。最后,计算PIO的最佳临界值。结果。共纳入359名男性。年龄、体重和当前吸烟状况被证明是骨质疏松症的显著预测因素。PIO如下:[年龄(岁)+ 10(当前吸烟者)]/体重(千克)。与其他变量相比,PIO表现出最大的预测性能,最佳临界点为0.87,此时敏感度和特异度分别为71.9%和70.0%。结论。一个新的预测指数似乎能较好地预测骨质疏松症的存在,因此可以结合其临界值用于识别70岁以下需要进行骨密度筛查的男性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c79/3960559/d44f260dbebc/JOS2014-781897.001.jpg

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