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医生何时应安排脊柱X光检查?识别骨质疏松症护理中的椎体骨折:欧洲前瞻性骨质疏松症研究(EPOS)的结果。

When should the doctor order a spine X-ray? Identifying vertebral fractures for osteoporosis care: results from the European Prospective Osteoporosis Study (EPOS).

作者信息

Kaptoge Stephen, Armbrecht Gabi, Felsenberg Dieter, Lunt Mark, O'Neill Terence W, Silman Alan J, Reeve Jonathan

机构信息

Department of Medicine, Institute of Public Health, University of Cambridge, Cambridge, UK.

出版信息

J Bone Miner Res. 2004 Dec;19(12):1982-93. doi: 10.1359/JBMR.040901. Epub 2004 Sep 7.

DOI:10.1359/JBMR.040901
PMID:15537441
Abstract

UNLABELLED

Vertebral fractures are common but usually remain unrecognized in primary care. Data from 2908 women and 2653 men in the EPOS study were used to derive algorithms to indicate the need for a spine X-ray to identify a fracture using easily elicited determinants. At a sensitivity of 50% for identifying cases, the specificity was increased from 50% to 78% in women and from 50% to 72% in men compared with a random allocation of X-rays. Use of X-rays can be optimized by selecting patients at high risk using a short screening procedure.

INTRODUCTION

Previous osteoporotic fracture is an independent risk factor for further fractures and an indication for treatment. Vertebral fractures are the most common osteoporotic fractures before age 75, accounting for 48% of all fractures in men and 39% in women over 50. They usually remain unrecognized, so many patients requiring treatment are denied it, doubling their risk of a further fracture. Our objective was to develop an efficient algorithm indicating the need for an X-ray.

MATERIALS AND METHODS

Data from 2908 women and 2653 men >or=50 years of age in the European Prospective Osteoporosis Study (EPOS) were analyzed. Lateral thoracic and lumbar spine radiographs were taken at baseline and at an average of 3.8 years later. Prevalent fractures were qualitatively diagnosed by an experienced radiologist. Fracture risk was modeled as a function of age, statural height loss since age 25, gender, and fracture history including limb fractures in the last 3 years using negative binomial regression. Receiver operating characteristic (ROC) curves were used to summarize a model's predictive ability, and a prediction algorithm was devised to identify those most likely to have a fracture.

RESULTS

In a multivariate model for women, the risk of prevalent vertebral fracture significantly increased with age (RR, 1.67 [95% CI, 1.46, 1.93] per decade), statural height loss (1.06, [1.03, 1.10] per centimeter decrease), self-reported history of spine fracture (7.52 [5.52, 10.23]), and history of other major fracture (1.83 [1.46, 2.28]). Higher body weight reduced risk (0.86 [0.79, 0.95] per 10-kg increase). In men, the respective RR estimates were as follows: age (1.32 [1.18, 1.49]); height loss (1.06 [1.04, 1.09]); self-reported spine fracture (5.05 [3.69, 6.90]); other major fracture (1.42 [1.12, 1.81]); and weight (0.86 [0.79, 0.94]). Using algorithms based on these easily elicited determinants, specificity was increased from 50% to 78% in women and from 50% to 72% in men at a sensitivity of 50% compared with a random allocation of X-rays. At a sensitivity of 75%, the specificity was 50% in women and 40% in men. Inclusion of hip BMD (femoral neck or trochanter), measured in 1360 women and 1046 men, significantly improved the area under the ROC curves by 4% in women (p < 0.002) but not in men (p > 0.350). Spine BMD, measured in 982 women and 847 men, produced a significant 5% AUC improvement in women (p = 0.007) but not in men (p = 0.554).

CONCLUSION

A woman 65 years of age with one vertebral fracture has a one in four chance of another fracture over 5 years, which can be reduced to one in eight by treatment. Positive treatment decisions are often contingent on identifying a vertebral fracture. Selective use of lateral vertebral X-rays can be optimized using a 2-minute screening procedure administered by a nurse.

摘要

未标注

椎体骨折很常见,但在初级保健中通常未被识别。EPOS研究中2908名女性和2653名男性的数据被用于推导算法,以利用易于获取的决定因素来表明是否需要进行脊柱X光检查以识别骨折。在识别病例的敏感度为50%时,与随机进行X光检查相比,女性的特异度从50%提高到78%,男性从50%提高到72%。通过使用简短的筛查程序选择高危患者,可以优化X光检查的使用。

引言

既往骨质疏松性骨折是进一步骨折的独立危险因素,也是治疗的指征。椎体骨折是75岁之前最常见的骨质疏松性骨折,在50岁以上男性所有骨折中占48%,女性中占39%。它们通常未被识别,因此许多需要治疗的患者得不到治疗,这使他们再次骨折的风险加倍。我们的目标是开发一种有效的算法来表明是否需要进行X光检查。

材料与方法

对欧洲前瞻性骨质疏松研究(EPOS)中2908名年龄≥50岁的女性和2653名男性的数据进行分析。在基线时以及平均3.8年后拍摄胸部和腰椎侧位X光片。由经验丰富的放射科医生对现患骨折进行定性诊断。使用负二项回归将骨折风险建模为年龄、自25岁起身高降低、性别以及骨折史(包括过去3年的四肢骨折)的函数。使用受试者工作特征(ROC)曲线总结模型的预测能力,并设计一种预测算法来识别最有可能发生骨折的患者。

结果

在女性的多变量模型中,现患椎体骨折的风险随年龄显著增加(每十年风险比RR为1.67 [95%置信区间CI,1.46,1.93])、身高降低(每降低一厘米为1.06 [1.03,1.10])、自我报告的脊柱骨折史(7.52 [5.52,10.23])以及其他主要骨折史(1.83 [1.46,2.28])。体重增加可降低风险(每增加10千克为0.86 [0.79,0.95])。在男性中,各自的RR估计值如下:年龄(1.32 [1.18,1.49]);身高降低(1.06 [1.04,1.09]);自我报告的脊柱骨折(5.05 [3.69,6.90]);其他主要骨折(1.42 [1.12,1.81]);以及体重(0.86 [0.79,0.94])。与随机进行X光检查相比,使用基于这些易于获取的决定因素的算法,在敏感度为50%时,女性的特异度从50%提高到78%,男性从50%提高到72%。在敏感度为75%时,女性的特异度为50%,男性为40%。纳入1360名女性和1046名男性测量的髋部骨密度(股骨颈或大转子),使女性的ROC曲线下面积显著提高4%(p < 0.002),但男性未提高(p > 0.350)。纳入测量982名女性和847名男性的脊柱骨密度,使女性的曲线下面积显著提高5%(p = 0.007),男性未提高(p = 0.554)。

结论

一名65岁有一次椎体骨折史的女性在5年内有四分之一的机会再次发生骨折,通过治疗可降至八分之一。积极的治疗决策通常取决于是否识别出椎体骨折。由护士进行的2分钟筛查程序可优化选择性使用脊柱侧位X光检查。

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