CT‐Based Body Composition and Frailty as Predictors of Survival Among Older Adults With Gastrointestinal Malignancies

IF 8.9 1区 医学
Smith Giri, Christian Harmon, Daniel Hess, Elizabeth M. Cespedes Feliciano, Ijeamaka Anyene Fumagalli, Bette Caan, Leon Lenchik, Karteek Popuri, Vincent Chow, Mirza Faisal Beg, Smita Bhatia, Grant R. Williams
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引用次数: 0

Abstract

BackgroundOlder adults with cancer are at an increased risk of treatment related toxicities and early death. Routinely collected clinico‐demographic characteristics inadequately explain this increased risk limiting accurate prognostication. Prior studies have suggested that altered body composition and frailty are independently associated with worse survival among older adults with cancer; however, their combined influence remains unclear.MethodsWe used data from a single‐institution prospective cohort study of older adults (≥ 60 years) who underwent geriatric assessment (GA) at the time of initial consultation with a medical oncologist from September 2017 to December 2020 and available baseline abdominal computed tomography within 60 days of GA. Using multi‐slice CT images from T12 to L5 level, we assessed volumetric measures of skeletal muscle (SMV), visceral adipose tissue (VATV), subcutaneous adipose tissue (SATV) and averaged skeletal muscle density (SMD), computing sex‐specific z for each measure. Frailty was measured using a 44‐item frailty index using the deficit accumulation approach. Primary outcome of interest was overall survival (OS) defined as time from GA to death or last follow up. We used multivariable Cox regression model to study the independent association between the above four body composition measurements and OS adjusted for baseline confounders and frailty.ResultsWe included 459 patients with a mean age of 69.7 ± 7.5 years, 60% males and 77% non‐Hispanic Whites. Most had colorectal (27%) or pancreatic cancer (20%) and 48% had stage IV disease. Over a median follow up of 39.4 months, 209 patients (46%) died. In multivariable Cox regression models adjusted for age, sex, race, cancer type, cancer stage and frailty, skeletal muscle volume (HR 0.74; 95% CI 0.58–0.96; p = 0.02, per 1 SD increment) was independently associated with OS. The addition of body composition variables to baseline clinico‐demographic variables and frailty led to a slightly improved model discrimination.ConclusionsSMV is independently associated with OS among older adults with newly diagnosed gastrointestinal cancers. Capturing body composition measurements in oncology practice may provide additional prognostic information for older adults with cancer above and beyond what is captured in routine clinical assessment including frailty.
基于CT的身体组成和虚弱作为老年胃肠道恶性肿瘤患者生存的预测因子
背景:老年癌症患者发生治疗相关毒性和早期死亡的风险增加。常规收集的临床人口学特征不能充分解释这种增加的风险,限制了准确的预后。先前的研究表明,身体成分的改变和虚弱与老年癌症患者的生存率较差独立相关;然而,它们的综合影响尚不清楚。方法:我们使用了一项单机构前瞻性队列研究的数据,这些老年人(≥60岁)在2017年9月至2020年12月与医学肿瘤学家首次咨询时接受了老年评估(GA),并在GA后60天内获得了基线腹部计算机断层扫描。使用从T12到L5水平的多层CT图像,我们评估了骨骼肌(SMV)、内脏脂肪组织(VATV)、皮下脂肪组织(SATV)和平均骨骼肌密度(SMD)的体积测量,计算了每个测量的性别特异性z。脆弱性采用缺陷累积法采用44项脆弱性指数进行测量。主要终点是总生存期(OS),定义为从GA到死亡或最后一次随访的时间。我们使用多变量Cox回归模型来研究上述四种身体成分测量与基线混杂因素和虚弱调整的OS之间的独立关联。结果纳入459例患者,平均年龄69.7±7.5岁,60%为男性,77%为非西班牙裔白人。大多数患有结直肠癌(27%)或胰腺癌(20%),48%患有IV期疾病。在中位39.4个月的随访中,209例患者(46%)死亡。在校正了年龄、性别、种族、癌症类型、癌症分期和虚弱程度的多变量Cox回归模型中,骨骼肌体积(HR 0.74;95% ci 0.58-0.96;p = 0.02,每1 SD增量)与OS独立相关。将身体成分变量加入到基线临床人口学变量和虚弱状态中,导致模型判别略有改善。结论smv与新诊断的老年胃肠道癌症患者的OS独立相关。在肿瘤学实践中捕获身体成分测量可以为患有癌症的老年人提供额外的预后信息,而不仅仅是在常规临床评估中捕获的信息,包括虚弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Cachexia, Sarcopenia and Muscle
Journal of Cachexia, Sarcopenia and Muscle Medicine-Orthopedics and Sports Medicine
自引率
12.40%
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0
期刊介绍: The Journal of Cachexia, Sarcopenia, and Muscle is a prestigious, peer-reviewed international publication committed to disseminating research and clinical insights pertaining to cachexia, sarcopenia, body composition, and the physiological and pathophysiological alterations occurring throughout the lifespan and in various illnesses across the spectrum of life sciences. This journal serves as a valuable resource for physicians, biochemists, biologists, dieticians, pharmacologists, and students alike.
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