Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.
J Gerontol A Biol Sci Med Sci. 2019 Jun 18;74(7):1063-1069. doi: 10.1093/gerona/gly183.
Opportunistic assessment of sarcopenia on CT examinations is becoming increasingly common. This study aimed to determine relationships between CT-measured skeletal muscle size and attenuation with 1-year risk of mortality in older adults enrolled in a Medicare Shared Savings Program (MSSP).
Relationships between skeletal muscle metrics and all-cause mortality were determined in 436 participants (52% women, mean age 75 years) who had abdominopelvic CT examinations. On CT images, skeletal muscles were segmented at the level of L3 using two methods: (a) all muscles with a threshold of -29 to +150 Hounsfield units (HU), using a dedicated segmentation software, (b) left psoas muscle using a free-hand region of interest tool on a clinical workstation. Muscle cross-sectional area (CSA) and muscle attenuation were measured. Cox regression models were fit to determine the associations between muscle metrics and mortality, adjusting for age, sex, race, smoking status, cancer diagnosis, and Charlson comorbidity index.
Within 1 year of follow-up, 20.6% (90/436) participants died. In the fully-adjusted model, higher muscle index and muscle attenuation were associated with lower risk of mortality. A one-unit standard deviation (SD) increase was associated with a HR = 0.69 (95% CI = 0.49, 0.96; p = .03) for total muscle index, HR = 0.67 (95% CI = 0.49, 0.90; p < .01) for psoas muscle index, HR = 0.54 (95% CI = 0.40, 0.74; p < .01) for total muscle attenuation, and HR = 0.79 (95% CI = 0.66, 0.95; p = .01) for psoas muscle attenuation.
In older adults, higher skeletal muscle index and muscle attenuation on abdominopelvic CT examinations were associated with better survival, after adjusting for multiple risk factors.
在 CT 检查中对肌肉减少症进行机会性评估越来越普遍。本研究旨在确定在参加医疗保险储蓄计划(MSSP)的老年人中,CT 测量的骨骼肌大小和衰减与 1 年死亡率之间的关系。
在 436 名参与者(52%为女性,平均年龄 75 岁)中,使用两种方法确定骨骼肌指标与全因死亡率之间的关系:(a)使用专用分割软件,在 L3 水平上对-29 至+150 Hounsfield 单位(HU)之间的所有肌肉进行分割;(b)在临床工作站上使用徒手感兴趣区工具对左腰大肌进行分割。测量肌肉横截面积(CSA)和肌肉衰减值。使用 Cox 回归模型确定肌肉指标与死亡率之间的关联,调整因素包括年龄、性别、种族、吸烟状况、癌症诊断和 Charlson 合并症指数。
在随访的 1 年内,20.6%(90/436)的参与者死亡。在完全调整的模型中,较高的肌肉指数和肌肉衰减与较低的死亡率相关。一个单位标准差(SD)的增加与总肌肉指数的 HR = 0.69(95%CI = 0.49,0.96;p =.03)、腰大肌指数的 HR = 0.67(95%CI = 0.49,0.90;p <.01)、总肌肉衰减的 HR = 0.54(95%CI = 0.40,0.74;p <.01)和腰大肌衰减的 HR = 0.79(95%CI = 0.66,0.95;p =.01)相关。
在调整了多个危险因素后,在接受腹部盆腔 CT 检查的老年人中,较高的骨骼肌指数和肌肉衰减与更好的生存相关。