Ross P D, Wasnich R D, Maclean C J, Hagino R, Vogel J M
Kuakini Osteoporosis Study, Kuakini Medical Center, Honolulu, HI 96817.
Bone. 1988;9(6):337-47. doi: 10.1016/8756-3282(88)90114-7.
A model was developed which estimates the costs of osteoporosis risk evaluation and treatment, and the resulting savings in terms of reduced fracture frequency, for the adult female population of the United States. In the absence of treatment, the model predicts 1.44 million fractures will occur annually from non-violent causes. Treatment of all women beginning at age 50 with an agent that slows bone loss by 50% would reduce the number of these fractures by 0.59 million. Selective treatment of the 47% of women at the greatest fracture risk would reduce the number of fractures by 0.45 million, but would only cost 47% as much as treating all women. Additional data are required before the model can be used to evaluate specific treatment regimens. However, it appears that selective treatment of those at highest risk would yield the greatest benefit to cost ratio, if only benefits related to reduced fracture frequency are considered.
开发了一个模型,该模型可估算美国成年女性群体骨质疏松症风险评估和治疗的成本,以及因骨折频率降低而产生的节约费用。在不进行治疗的情况下,该模型预测每年将有144万例骨折由非暴力原因导致。从50岁开始用一种能减缓骨质流失50%的药物对所有女性进行治疗,可使此类骨折的数量减少59万例。对骨折风险最高的47%的女性进行选择性治疗,可使骨折数量减少45万例,但其成本仅为治疗所有女性的47%。在该模型可用于评估具体治疗方案之前,还需要更多数据。然而,如果仅考虑与骨折频率降低相关的益处,那么对风险最高的人群进行选择性治疗似乎能产生最大的效益成本比。