Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Yawkey 6E, 55 Fruit Street, Boston, MA, USA.
Biostatistics Center, Massachusetts General Hospital and Harvard Medical School, 50 Staniford Street, Suite 560, Boston, MA, USA.
Int J Obes (Lond). 2021 Oct;45(10):2238-2243. doi: 10.1038/s41366-021-00907-1. Epub 2021 Jul 9.
BACKGROUND/OBJECTIVE: Obesity is a strong risk factor for adverse outcomes in patients hospitalized with COVID-19, however, the distribution of fat and the amount of muscle mass are more accurate risk factors than BMI. The objective of this study was to assess body composition measures obtained on opportunistic abdominal CTs as predictors of outcome in patients hospitalized with COVID-19. We hypothesized that elevated visceral and intermuscular adipose tissue would be associated with adverse outcome.
SUBJECTS/METHODS: Our retrospective study was IRB-approved and HIPAA-compliant. The study group comprised 124 patients (median age: 68 years, IQR: 56, 77; 59 weeks, 65 months) who were admitted with COVID-19 to a single hospital and who had undergone abdominal CT for clinical purposes. Visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), intermuscular adipose tissue (IMAT), and paraspinal and abdominal muscle cross-sectional areas (CSA) were assessed. Clinical information including prognostic factors, time of admission to the intensive care unit (ICU) and time of death within 28 days were obtained. Multivariate time-to-event competing risk models were fitted to estimate the hazard ratio (HR) for a composite outcome of ICU admission/mortality associated with a one standard deviation increase in each body compositional measure. Each model was adjusted for age, sex, race, BMI, and cardiometabolic comorbidities.
There were 50 patients who were admitted to the ICU or deceased over a median time of 1 day [IQR 1, 6] from hospital admission. Higher VAT/SAT ratio (HR of 1.30; 95% CI 1.04-1.62, p = 0.022) and higher IMAT CSA (HR of 1.44; 95% CI 1.10-1.89, p = 0.008) were associated with a reduced time to ICU admission or death in adjusted models.
VAT/SAT and IMAT are predictors of adverse outcome in patients hospitalized with COVID-19, independent of other established prognostic factors. This suggests that body composition measures may serve as novel biomarkers of outcome in patients with COVID-19.
背景/目的:肥胖是 COVID-19 住院患者发生不良结局的一个强危险因素,但脂肪分布和肌肉量比 BMI 更能准确预测风险。本研究的目的是评估机会性腹部 CT 获得的身体成分测量值是否可作为 COVID-19 住院患者结局的预测指标。我们假设升高的内脏和肌间脂肪组织与不良结局相关。
受试者/方法:本回顾性研究获得了机构审查委员会的批准和 HIPAA 合规性。研究组包括 124 名因 COVID-19 住院且因临床目的接受腹部 CT 检查的患者(中位年龄:68 岁,IQR:56、77;59 周,65 个月)。评估了内脏脂肪组织(VAT)、皮下脂肪组织(SAT)、肌间脂肪组织(IMAT)、椎旁和腹部肌肉横截面积(CSA)。获取了包括预后因素、入住重症监护病房(ICU)的时间和 28 天内死亡时间在内的临床信息。使用多变量时间事件竞争风险模型估计每个身体成分测量值增加一个标准差与 ICU 入住/死亡率复合结局相关的风险比(HR)。每个模型均经过年龄、性别、种族、BMI 和心脏代谢合并症调整。
中位住院时间 1 天[IQR 1、6]内有 50 名患者入住 ICU 或死亡。VAT/SAT 比值较高(HR 为 1.30;95%CI 为 1.04-1.62,p=0.022)和 IMAT CSA 较高(HR 为 1.44;95%CI 为 1.10-1.89,p=0.008)与调整后的 ICU 入住或死亡时间缩短相关。
VAT/SAT 和 IMAT 是 COVID-19 住院患者不良结局的预测指标,独立于其他既定预后因素。这表明身体成分测量值可能成为 COVID-19 患者结局的新型生物标志物。