Bone Microarchitecture Phenotypes Identified in Older Adults Are Associated With Different Levels of Osteoporotic Fracture Risk

Prevalence of osteoporosis is more than 50% in older adults, yet current clinical methods for diagnosis that rely on areal bone mineral density (aBMD) fail to detect most individuals who have a fragility fracture. Bone fragility can manifest in different forms, and a “one-size-fits-all” approach to diagnosis and management of osteoporosis may not be suitable. High-resolution peripheral quantitative computed tomography (HR-pQCT) provides additive information by capturing information about volumetric density and microarchitecture, but interpretation is challenging because of the complex interactions between the numerous properties measured. In this study, we propose that there are common combinations of bone properties, referred to as phenotypes, that are predisposed to different levels of fracture risk. Using HR-pQCT data from a multinational cohort (n = 5873, 71% female) between 40 and 96 years of age, we employed fuzzy c-means clustering, an unsupervised machine-learning method, to identify phenotypes of bone microarchitecture. Three clusters were identified, and using partial correlation analysis of HR-pQCT parameters, we characterized the clusters as low density, low volume, and healthy bone phenotypes. Most males were associated with the healthy bone phenotype, whereas females were more often associated with the low volume or low density bone phenotypes. Each phenotype had a significantly different cumulative hazard of major osteoporotic fracture (MOF) and of any incident osteoporotic fracture (p < 0.05). After adjustment for covariates (cohort, sex, and age), the low density followed by the low volume phenotype had the highest association with MOF (hazard ratio = 2.96 and 2.35, respectively), and significant associations were maintained when additionally adjusted for femoral neck aBMD (hazard ratio = 1.69 and 1.90, respectively). Further, within each phenotype, different imaging biomarkers of fracture were identified. These findings suggest that osteoporotic fracture risk is associated with bone phenotypes that capture key features of bone deterioration that are not distinguishable by aBMD. © 2021 American Society for Bone and Mineral Research (ASBMR).     

调整Kappa角及光学切削直径对准分子激光原位角膜磨镶术后的影响

目的　评价调整光学切削直径及Kappa角后对准分子激光原位角膜磨镶术（laser in situ keratomileusis，LASIK）后效果的影响。方法　选取2017年1月至12月在我院行LASIK手术的高度近视患者313例（626眼），根据切削直径分成两组，试验组157例314眼，切削直径设定为6.0 mm，对照组156例312眼，切削直径设定为6.5 mm。试验组患者激光切削前修正Kappa角，对照组不做修正。患者术前进行裸眼视力、主视眼确定、验光、眼压、暗室下瞳孔直径、泪液分泌试验、裂隙灯、散瞳验光、眼底检查、pentacam测量角膜厚度、角膜地形图测量角膜前后表面及Kappa角等检查。术后1 d、1周、1个月随访，并检查裸眼视力、角膜厚度、波前像差及夜间视力、光晕、眩光等情况。比较两组患者角膜厚度变化、手术所用时间以及两组患者术后的高阶像差的差异。结果　试验组与对照组患者年龄分别为18～44（24.19±5.33）岁、18～42（25.08±4.91）岁，屈光度分别为（-7.47±1.04）D、（-7.61±1.12）D。两组年龄、屈光度比较差异均无统计学意义（均为P>0.05）。试验组与对照组患者术前Kappa角分别为，X轴:（210±40）μm、（200±30）μm，Y轴:（190±30）μm、（220±40）μm，差异无统计学意义（P=0.210）。两组手术前后的角膜厚度及术后角膜基质床的厚度差异均无统计学意义（均为P>0.05）。试验组与对照组的手术时间分别为（15.56±1.89）s和（20.83±3.03）s，差异有统计学意义（P=0.000）。试验组的总高阶像差和垂直慧差的变化均明显低于对照组（均为 P<0.01），但两组间的水平慧差差异无统计学意义（P>0.05），对照组的球差低于试验组（P<0.01）。结论　LASIK手术中科学合理地调整Kappa角可有助于提高患者术后的视觉质量。