Satyaraddi Anil, Shetty Sahana, Kapoor Nitin, Cherian Kripa Elizabeth, Naik Dukhabandhu, Thomas Nihal, Paul Thomas Vizhalil
Department of Endocrinology, Diabetes & Metabolism, Christian Medical College, Vellore, Tamil Nadu, 632004, India.
Arch Osteoporos. 2017 Dec;12(1):35. doi: 10.1007/s11657-017-0332-5. Epub 2017 Apr 5.
Osteoporosis in elderly men is an under-recognized problem. In the current study, we intend to look at the performance of two risk assessment tools [OSTA and MORES] for the diagnosis of osteoporosis. Osteoporosis was seen in 1/4th of elderly men at spine and 1/6th of them at femoral neck. Both risk assessment tools were found to have good sensitivity in predicting osteoporosis at spine and femoral neck with good area under curve (AUC).
This study attempts to look at the performance of osteoporosis self-assessment tool for Asians (OSTA) and male osteoporosis risk estimation score (MORES) for predicting osteoporosis in south Indian rural elderly men.
Five hundred and twelve men above 65 years of age from a south Indian rural community were recruited by cluster random sampling. All subjects underwent detailed clinical, anthropometric, and bone mineral density measurement at lumbar spine and femoral neck using dual-energy X-ray absorptiometry scan. A T score ≤ - 2.5 was diagnostic of osteoporosis. Scores for OSTA and MORES were calculated at various cut offs, and their sensitivities and specificities for predicting osteoporosis were derived.
The prevalence of osteoporosis was found to be 16% at femoral neck and 23% at spine. OSTA with a cut-off value of ≤2 predicted osteoporosis with a sensitivity and specificity at lumbar spine of 94 and 17% and at femoral neck of 99 and 18%. The area under ROC curve for OSTA index for spine was 0.716 and for femoral neck was 0.778. MORES with a cut-off value of ≥6 predicted osteoporosis at spine with a sensitivity of 98% and specificity of 15%, and at femoral neck, they were 98 and 13%, respectively. The area under ROC curve for MORES for spine was 0.855 and for femoral neck was 0.760.
OSTA and MORES were found to be useful screening tools for predicting osteoporosis in Indian elderly men. These tools are simple, easy to perform, and cost effective in the context of rural Indian setting.
老年男性骨质疏松是一个未得到充分认识的问题。在本研究中，我们旨在观察两种风险评估工具[OSTA和MORES]在骨质疏松诊断中的表现。在老年男性中，脊柱部位有四分之一的人患有骨质疏松，股骨颈部位有六分之一的人患有骨质疏松。发现这两种风险评估工具在预测脊柱和股骨颈骨质疏松方面具有良好的敏感性，曲线下面积（AUC）良好。
本研究试图观察亚洲人骨质疏松自我评估工具（OSTA）和男性骨质疏松风险评估分数（MORES）在预测印度南部农村老年男性骨质疏松方面的表现。
通过整群随机抽样，从印度南部农村社区招募了512名65岁以上的男性。所有受试者均接受了详细的临床、人体测量，并使用双能X线吸收法扫描测量腰椎和股骨颈的骨密度。T值≤ -2.5可诊断为骨质疏松。计算了不同截断值下的OSTA和MORES分数，并得出它们预测骨质疏松的敏感性和特异性。
发现股骨颈骨质疏松患病率为16%，脊柱为23%。截断值≤2时，OSTA预测腰椎骨质疏松的敏感性和特异性分别为94%和17%，预测股骨颈骨质疏松的敏感性和特异性分别为99%和18%。OSTA指数在脊柱的ROC曲线下面积为0.716，在股骨颈为0.778。截断值≥6时，MORES预测脊柱骨质疏松的敏感性为98%，特异性为15%，预测股骨颈骨质疏松的敏感性和特异性分别为98%和13%。MORES在脊柱的ROC曲线下面积为0.855，在股骨颈为0.760。
发现OSTA和MORES是预测印度老年男性骨质疏松的有用筛查工具。在印度农村环境中，这些工具简单、易于操作且具有成本效益。
