NEJM:绝经后女性骨质疏松,Romosozumab可显著降低骨折风险

2016-09-21 MedSci MedSci原创

Romosozumab是一种结合硬化蛋白的单克隆抗体,可以增加骨形成,减少骨吸收。研究人员招募了7180名绝经后女性,这些女性的全髋或股骨颈T得分为-2.5至-3.5。患者被随机分配接受皮下注射romosozumab(剂量为210毫克)或安慰剂,共计12个月;此后,各组患者接受狄诺塞麦12个月,剂量为60毫克,皮下给药,每6个月一次。主要终点是在12个月和24个月时新的椎体骨折的累计发生率。次要终

Romosozumab是一种结合硬化蛋白的单克隆抗体,可以增加骨形成,减少骨吸收。

研究人员招募了7180名绝经后女性,这些女性的全髋或股骨颈T得分为-2.5至-3.5。患者被随机分配接受皮下注射romosozumab(剂量为210毫克)或安慰剂,共计12个月;此后,各组患者接受狄诺塞麦12个月,剂量为60毫克,皮下给药,每6个月一次。主要终点是在12个月和24个月时新的椎体骨折的累计发生率。次要终点包括临床(非脊椎和脊椎症状的复合结果)和非脊椎骨折。

在12个月时,在romosozumab组3321名参与者中,共有16例患者(0.5%)发生新的椎体骨折,在安慰剂组3322名参与者中,共有59例患者(1.8%)发生新的椎体骨折(这表示romosozumab组风险降低了73%,P<0.001 )。romosozumab组中3589​​名参与者共有58例患者(1.6%)发生临床骨折,安慰剂组中的3591​​名参与者共有90例患者(2.5%)发生临床骨折(这表明romosozumab组风险降低了36%; P=0.008)。romosozumab组中3589​​名参与者共有56例患者(1.6%)发生非椎骨骨折,安慰剂组中的3591​​名参与者共有75例患者(2.1%)发生非椎骨骨折(P=0.10)。在24个月时,两组都已经过度到接受狄诺塞麦治疗,romosozumab组的椎体骨折率比安慰剂组显著降低(romosozumab组0.6%[21例/3325],安慰剂组2.5%[84例/3327],romosozumab组降低了75%的风险; P<0.001)。不良事件发生率(包括:骨质增生、心血管事件、骨关节炎和癌症)在两组之间是相似的。在romosozumab组出现了一例非典型股骨骨折,两例颌骨坏死。

在绝经后骨质疏松症女性中,在12个月时,与安慰剂相比,romosozumab可降低脊椎骨折的风险。在1年时,romosozumab可显著降低临床骨折的风险。

原始出处:

Felicia Cosman,Daria B. Crittenden,Jonathan D. Adachi,et al.Romosozumab Treatment in Postmenopausal Women with Osteoporosis,NEJM,2016.9.21


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    2017-04-15 snf701207
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    2016-10-28 ylzr123

    Romosozumab是好东西,是一种结合硬化蛋白的单克隆抗体,可以增加骨形成,减少骨吸收。

    0

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    2016-09-22 Eleven17
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    2016-09-22 zxxiang

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这项发表在Cancer Research杂志上的新近研究指出,通过饮食和锻炼达到减肥目的的肥胖和超重女性血液内参与血管生成相关蛋白质水平降低。 血管生成是指受损血管修复和新血管生成,如果没有氧气和营养物质的供应,机体正常细胞和癌细胞都无法生存。当这些细胞发出相应信号即血管生成因子以促进新血管的生长、癌细胞发展为肿瘤。如果没有血液供应,肿瘤的直径也就几毫米左右。然而,一旦有一些肿瘤细胞分泌相关物质刺

Menopause:绝经早晚均增加女性患2型糖尿病风险

新的研究结果表明,45岁前或55岁后绝经的女性患2型糖尿病的风险更高(相比绝经时期为45-55岁的女性而言,HR分别为1.04和1.08), 研究结果发表在Menopause。 Erin S LeBlanc和同事对WHI研究中的124379名女性进行了调查。 LeBlanc博士和同事们发现,在相关年龄调整模型中,生殖周期最短(少于30年)的女性患2型糖尿病的风险比生育时期为36-40年的女性高37

Bone:抗抑郁药会加速绝经后女性骨量丢失

背景:骨质疏松症和抑郁症是世界范围内的主要健康问题。抗抑郁药、抑郁症的治疗和骨健康之间还需要更详细的探索。目的:探讨抗抑郁药物的使用和绝经后随着时间推移骨质流失之间的关系。方法:共纳入了1988名妇女(年龄57-67岁),在1999年和2004年检测了股骨颈骨密度(BMD)。通过国家处方登记册获取参与者抗抑郁药使用的数据。在校正人体、医学、身体和生活方式等因素前后,使用多元回归分析探究两者间的联系