Warriner Amy H, Outman Ryan C, Saag Kenneth G, Berry Sarah D, Colón-Emeric Cathleen, Flood Kellie L, Lyles Kenneth W, Tanner S Bobo, Watts Nelson B, Curtis Jeffrey R
University of Alabama at Birmingham, USA.
South Med J. 2009 Apr;102(4):397-404. doi: 10.1097/SMJ.0b013e31819bc1d3.
Osteoporosis is a growing health concern as the number of senior adults continues to increase worldwide. Falls and fractures are very common among frail older adults requiring home health and long-term care. Preventative strategies for reducing falls have been identified and many therapies (both prescription and nonprescription) with proven efficacy for reducing fracture risk are available. However, many practitioners overlook the fact that a fragility fracture is diagnostic for osteoporosis even without knowledge of bone mineral density testing. As a result, osteoporosis is infrequently diagnosed and treated in the elderly after a fracture. Based on existing literature, we have developed an algorithm for the assessment and treatment of osteoporosis among persons with known prior fracture(s) living in long-term care facilities or receiving home health care based on the data available in the literature.
随着全球老年人数量持续增加，骨质疏松症日益成为人们关注的健康问题。跌倒和骨折在需要居家护理和长期护理的体弱老年人中非常常见。已确定了减少跌倒的预防策略，并且有许多经证实对降低骨折风险有效的疗法（包括处方药和非处方药）。然而，许多从业者忽略了一个事实，即即使不知道骨密度测试结果，脆性骨折也可诊断为骨质疏松症。因此，老年人在骨折后很少被诊断出患有骨质疏松症并接受治疗。基于现有文献，我们根据文献中的可用数据，开发了一种算法，用于评估和治疗居住在长期护理机构或接受居家护理且有既往骨折史的人群中的骨质疏松症。
