D'Amelio P, Tamone C, Pluviano F, Di Stefano M, Isaia G
Department of Internal Medicine, University of Torino, Corso Dogliotti 14, 10126-Torino, Italy.
Calcif Tissue Int. 2005 Aug;77(2):72-8. doi: 10.1007/s00223-004-0253-3. Epub 2005 Jul 28.
In this study the authors analyzed the role of risk factors in postmenopausal osteoporosis in a cohort of Italian women and evaluated predictive values of decision rules for early identification of osteoporotic women. Furthermore, the authors investigated the prevalence of secondary osteoporosis in this population. Women who underwent bone densitometry were asked to answer a questionnaire about the common risk factors for osteoporosis. Patients were classified as nonosteoporotic, nonosteopenic, and osteoporotic. Risk factors were compared among the groups by use of analysis of variance (ANOVA). National Osteoporosis Foundation (NOF) recommendation, Osteoporosis Risk Assessment Instruments (ORAIs), Osteoporosis Self-Assessment Tools (OST) score, and weight criterion were applied to this population. The authors proposed a new decision rule based on a new score. A total of 525 women received the questionnaire: 47.4% women were osteoporotic, 32.2% were osteopenic, and 20.4% nonosteoporotic. Risk factors that differed significantly between these groups were: age, age at menarche, postmenopausal period, and body mass index (BMI); the aforementioned risk factors appear to be significant predictors of bone density (BMD) in linear regression model. The incidence of secondary osteoporosis was 13%. In conclusion, the authors (1) confirmed the role played by nonmodifiable risk factors in determining BMD; (2) showed that the use of NOF guidelines, ORAI, OST score, and weight criterion is not satisfactory in our cohort; (3) suggested a new score, based upon the features that were significantly different between patients and controls; and (4) demonstrated the relatively high prevalence of secondary osteoporosis and suggest a primary screening for secondary osteoporosis in all patients with low BMD.
在本研究中,作者分析了意大利女性队列中绝经后骨质疏松症风险因素的作用,并评估了用于早期识别骨质疏松症女性的决策规则的预测价值。此外,作者还调查了该人群中继发性骨质疏松症的患病率。接受骨密度测量的女性被要求回答一份关于骨质疏松症常见风险因素的问卷。患者被分为非骨质疏松症、非骨质减少症和骨质疏松症。通过方差分析(ANOVA)对各组之间的风险因素进行比较。将美国国家骨质疏松基金会(NOF)的建议、骨质疏松症风险评估工具(ORAIs)、骨质疏松症自我评估工具(OST)评分和体重标准应用于该人群。作者基于一个新的评分提出了一种新的决策规则。共有525名女性收到了问卷:47.4%的女性患有骨质疏松症,32.2%为骨质减少症,20.4%为非骨质疏松症。这些组之间有显著差异的风险因素包括:年龄、初潮年龄、绝经后时期和体重指数(BMI);在多元线性回归模型中,上述风险因素似乎是骨密度(BMD)的重要预测指标。继发性骨质疏松症的发病率为13%。总之,作者(1)证实了不可改变的风险因素在决定骨密度方面所起的作用;(2)表明在我们的队列中,使用NOF指南、ORAIs、OST评分和体重标准并不令人满意;(3)基于患者与对照组之间显著不同的特征提出了一个新的评分;(4)证明了继发性骨质疏松症的患病率相对较高,并建议对所有骨密度低的患者进行继发性骨质疏松症的初步筛查。