Baddoura Rafic, Arabi Asma, Haddad-Zebouni Souha, Khoury Nabil, Salamoun Mariana, Ayoub Ghazi, Okais Jad, Awada Hassane, El-Hajj Fuleihan Ghada
Division of Rheumatology, Saint Joseph University, Beirut, Lebanon.
Bone. 2007 Apr;40(4):1066-72. doi: 10.1016/j.bone.2006.11.016. Epub 2007 Jan 22.
The International Osteoporosis Foundation recommends using a universal database i.e. the NHANES database for the diagnosis of osteoporosis. Population-based databases for T-score calculation are still debated in terms of clinical and public health relevance. The current study aimed at estimating the prevalence of vertebral fractures in the Lebanese elderly, determining BMD-fracture relationship, and assessing the effect of database selection on osteoporosis prevalence and fracture risk assessment. Apparently healthy subjects were randomly selected from the Greater Beirut area - one-third of the Lebanese population at large - using a multilevel cluster technique. Subjects with medical conditions likely to affect bone metabolism i.e. history of major chronic disease, intake of medications that affect bone metabolism were excluded. Presence of vertebral fracture was estimated by a semi-quantitative assessment. Bone density was measured by central DXA. Clinical risk factors included age, gender, height, weight, body mass index, smoking, exercise, falls, previous fragility fracture and family history of fragility fracture. Impact of database selection was assessed by: (1) Comparison of sensitivity and specificity for prevalent vertebral fractures of the T-score <or= - 2.5 threshold using local versus NHANES database. (2) Comparison of estimates for fracture risk (RR/SD decrease in BMD) using local versus NHANES database. Prevalence of vertebral fractures was estimated at 19.9% [15.4-25.0] in women and at 12.0% [7.3-18.3] in men. Prevalence of osteoporosis by DXA using total hip was 33.0% [27.5-38.8] in women and 22.7% [16.2-30.2] in men. The NHANES database provided higher sensitivity for vertebral fracture than our population-specific database. RR of vertebral fracture per SD decrease in BMD remained unchanged across the two databases. In women, RR/SD were 1.61 [1.17-2.23] and 1.49 [1.14-1.95] in the NHANES and the local database, respectively, and in men 1.59 [0.94-2.72] and 1.43 [0.95-2.16]. In conclusion, our findings were in concordance with the IOF recommendations for the use of a universal database and could be used for the implementation of a unified fracture risk assessment paradigm along with the WHO initiative.
国际骨质疏松症基金会建议使用通用数据库,即美国国家健康与营养检查调查(NHANES)数据库来诊断骨质疏松症。用于计算T值的基于人群的数据库在临床和公共卫生相关性方面仍存在争议。当前的研究旨在估计黎巴嫩老年人椎体骨折的患病率,确定骨密度与骨折的关系,并评估数据库选择对骨质疏松症患病率和骨折风险评估的影响。使用多级整群技术从大贝鲁特地区(占黎巴嫩总人口的三分之一)随机选取表面健康的受试者。排除有可能影响骨代谢的疾病的受试者,即患有重大慢性疾病史、服用影响骨代谢药物的受试者。通过半定量评估来估计椎体骨折的存在情况。采用中央双能X线吸收法(DXA)测量骨密度。临床风险因素包括年龄、性别、身高、体重、体重指数、吸烟、运动、跌倒、既往脆性骨折史和脆性骨折家族史。通过以下方式评估数据库选择的影响:(1)比较使用本地数据库与NHANES数据库时,T值≤ -2.5阈值对于现患椎体骨折的敏感性和特异性。(2)比较使用本地数据库与NHANES数据库时骨折风险的估计值(骨密度每降低1个标准差的相对危险度/RR)。估计女性椎体骨折的患病率为19.9%[15.4 - 25.0],男性为12.0%[7.3 - 18.3]。使用全髋部DXA测量,女性骨质疏松症的患病率为33.0%[27.5 - 38.8],男性为22.7%[16.2 - 30.2]。NHANES数据库对椎体骨折的敏感性高于我们的特定人群数据库。两个数据库中,骨密度每降低1个标准差时椎体骨折的RR保持不变。在女性中,NHANES数据库和本地数据库的RR/标准差分别为1.61[1.17 - 2.23]和1.49[1.14 - 1.95],在男性中分别为1.59[0.94 - 2.72]和1.43[0.95 - 2.16]。总之,我们的研究结果与国际骨质疏松症基金会关于使用通用数据库的建议一致,可用于与世界卫生组织倡议一起实施统一的骨折风险评估模式。