首页> 外文期刊>Quarterly Journal of Medicine >Calcaneal bone mineral density in older patients who have fallen.
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Calcaneal bone mineral density in older patients who have fallen.

机译:年龄下降的老年患者的can骨骨矿物质密度。

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BACKGROUND: Annually, 35-40% of those aged >65 years fall; up to 5% of such falls result in fracture. Fracture is determined both by propensity to fall and by bone fragility. AIM: To determine osteoporosis prevalence and predictors in patients who have fallen. DESIGN: Observational cross-sectional study. METHODS: We measured calcaneal BMD in 408 consecutive patients aged >50 years attending after falling. Fall number, fracture history, weight, height, and risk factors for falls and osteoporosis were recorded. T scores (SD above or below the mean for young adults) were derived in both sexes, and Z scores (SD above or below age-related normal score) in females. RESULTS: In females (n = 300, 74%), mean (SD) T score was -1.1(1.6), and mean Z score was 0(1.4); 127 (42%) had osteoporosis (T score < - 1.6). ROC curves confirmed significant relationships between osteoporosis and age, weight and height (all p < 0.0001). Incorporating fracture history, our model (fracture aged >50 years, age >83 years, weight <57 kg, height <153 cm as dichotomous variables) predicted osteoporosis with 91% sensitivity, 34% specificity. Of 108 male fallers, 36 (33%) had osteoporosis. Age, height and weight all predicted osteoporosis (p < 0.02). The resulting model (fracture aged >50 years, age > or =80 years, weight < or =68 kg, height < or =167 cm as dichotomous variables) predicted osteoporosis with 92% sensitivity, 30% specificity. DISCUSSION: Osteoporosis prevalence is not increased in female fallers compared to age-related norms; empirical use of osteoporosis treatment solely on the basis of falls thus appears inappropriate. In both sexes, the factors predicting osteoporosis were age, height and weight. Where BMD is not practical, possible or economical, our model may be a sensitive means of predicting fallers with osteoporosis.
机译:背景:每年,年龄在65岁以上的人中有35-40%会摔倒;此类跌落的最多5%会导致骨折。骨折是由跌倒的倾向和骨骼的脆弱性决定的。目的:确定跌倒患者的骨质疏松患病率和预测因素。设计:观察性横断面研究。方法:我们测量了跌倒后就诊的408例年龄> 50岁的连续患者的跟骨骨密度。记录跌倒次数,骨折史,体重,身高以及跌倒和骨质疏松的危险因素。男女均获得T评分(SD高于或低于年轻人的平均值),女性获得Z评分(SD高于或低于与年龄相关的正常评分)。结果:在女性(n = 300,74%)中,平均(SD)T评分为-1.1(1.6),平均Z评分为0(1.4)。 127名(42%)患有骨质疏松症(T得分<-1.6)。 ROC曲线证实骨质疏松症与年龄,体重和身高之间存在显着关系(所有p <0.0001)。结合骨折史,我们的模型(骨折年龄> 50岁,年龄> 83岁,体重<57 kg,身高<153 cm作为二分变量)预测骨质疏松症的敏感性为91%,特异性为34%。在108名男性摔倒者中,有36名(33%)患有骨质疏松症。年龄,身高和体重均可以预测骨质疏松症(p <0.02)。所得模型(年龄≥50岁,年龄≥80岁,体重≤68kg,身高≤167cm作为二分变量)预测骨质疏松症的敏感性为92%,特异性为30%。讨论:与年龄相关的规范相比,女性摔跤者的骨质疏松症患病率没有增加。因此,仅根据跌倒的经验使用骨质疏松症治疗是不合适的。在男女中,预测骨质疏松的因素是年龄,身高和体重。如果BMD不可行,不可行或不经济,我们的模型可能是预测骨质疏松症患者的敏感方法。

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