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机构地区:[1]河北省保定市骨科医院,071000 [2]保定市南市区妇幼医院
出 处:《临床合理用药杂志》2014年第6期26-26,29,共2页Chinese Journal of Clinical Rational Drug Use
摘 要:目的分析牙齿脱落与髋部骨折的关系,评估牙齿脱落是否可以用作预测髋部骨折风险的指标。方法选择保定市骨科医院2008—2012年148例的髋部骨折患者为骨折组和136例在其他科室住院的非骨折患者为对照组,调查项目包括牙齿脱落年龄,脱落数目,骨折发生时情况,骨质家族史及糖皮质激素药物应用史等。牙齿的变化对骨折风险的影响采用多因素Logistic回归模型分析。结果骨折组与对照组牙齿脱落率比较差异有统计学意义(<0.05);骨折组与对照组平均牙齿脱落年龄及髋部骨折前牙齿脱落的数量比较,差异有统计学意义(P<0.05)。通过Logistic回归分析显示,牙齿脱落的患者罹患骨折风险高于无脱落者〔OR=3.798,95%CI(1.893,7.715)〕。年龄<59岁而发生牙齿脱落的个体较年龄>59岁的个体骨折风险进一步增加〔OR=5.768,95%CI(2.60312.519)〕;牙齿脱落及脱落数目对髋部骨折的风险无影响。结论牙齿脱落与髋部骨折风险高度相关,其临床应用前景尚需大样本前瞻性研究来证实。Objective To analyse the relationship of tooth loss and hip fracture, to determine whether tooth loss could as a risk index for forecasting hip fracture or not. Methods 148 hip fractures patients, who were admitted to our hospital from January 2012 to January 2013, were selected as fracture group, 138 patients without hip fractures were selected as control group. Survey items included the age of tooth loss, loss number, the situation of fracture, family history of osteoporosis and whether taking corticosteroid drugs or not. A multivariate LOgistic regression analysis was used to evaluate the effect of tooth loss rate, loss age, loss number on hip fracture. Results Comparing tooth loss rate of the two groups, the difference was statisti- cally significant (p 〈 0. 05) ; Comparing tooth loss age and tooth loss number before fracture, the difference was statistically significant (P 〈 0. 05). Multivariate LOgistic regression analysis demonstrated that there was a notable positive correlation be- tween tooth loss and hip fracture after correction of a family history of fractures [ OR = 3. 798, 95% CI ( 1. 893, 7. 715 ) ], and the pepole whose tooth loss age less than 59 years had a higher fracture risk [ OR = 5. 768, 95 % CI (2. 603, 12. 519) ]. Con- clusion There is a notable positive correlation between tooth loss and hip fracture risk, and the clinical application prospect needs large prospective study to confirm.
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