多种身体成分参数对胃肠道或泌尿生殖系统癌症患者总生存期的综合影响:一项描述性队列研究。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Kotaro Sugawara MD, PhD, Satoru Taguchi MD, PhD, Wataru Gonoi MD, PhD, Shouhei Hanaoka MD, PhD, Shinichiro Shiomi MD, Kenjiro Kishitani MD, Yukari Uemura PhD, Nobuhiko Akamatsu MD, Shohei Inui MD, PhD, Koji Tanaka MD, Koichi Yagi MD, PhD, Taketo Kawai MD, PhD, Tohru Nakagawa MD, PhD, Hiroshi Fukuhara MD, PhD, Osamu Abe MD, PhD, Haruki Kume MD, PhD, Maria Cristina Gonzalez MD, PhD, Carla M. Prado PhD, Yasuyuki Seto MD, PhD
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引用次数: 0

摘要

研究背景这项研究旨在评估在胃肠道和泌尿生殖系统恶性肿瘤的大型队列中,将低肌肉质量与其他身体成分异常(如肌骨质疏松症或脂肪过多)结合起来是否能提高生存预测的准确性:共对2015名接受过手术治疗的胃肠道或泌尿生殖系统癌症患者进行了回顾性分析。测定了骨骼肌指数、骨骼肌放射性密度和内脏/皮下脂肪组织指数。主要结果是根据医院记录确定的总生存期。多变量 Cox 危险模型用于确定不良生存率的独立预测因素。评估了C统计量,以量化纳入或不纳入身体成分参数的模型的预后能力:结果:所有四种测量指标的生存曲线都有明显的分界。骨骼肌放射性密度与非癌症相关死亡有关,但与癌症特异性生存无关。骨骼肌指数低的患者生存率较低(5年生存率为65.2%),尤其是同时存在骨骼肌放射性密度低的情况(5年总生存率为50.2%)。所有检查过的身体成分参数都是降低总生存率的独立预测因素。在不包含身体成分参数的情况下,预测总生存率的模型的c指数为0.68,但在包含低骨骼肌指数后,c指数上升到0.71,在包含低骨骼肌指数和低骨骼肌放射密度/内脏脂肪组织指数/皮下脂肪组织指数后,c指数上升到0.72:结论:同时表现出低骨骼肌指数和其他身体成分异常(尤其是低骨骼肌放射密度)的患者总生存率较低。事实证明,包含多种身体成分的模型对预测肿瘤患者的死亡率很有价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrated impact of multiple body composition parameters on overall survival in gastrointestinal or genitourinary cancers: A descriptive cohort study

Integrated impact of multiple body composition parameters on overall survival in gastrointestinal or genitourinary cancers: A descriptive cohort study

Background

This study aimed to evaluate if combining low muscle mass with additional body composition abnormalities, such as myosteatosis or adiposity, could improve survival prediction accuracy in a large cohort of gastrointestinal and genitourinary malignancies.

Methods

In total, 2015 patients with surgically-treated gastrointestinal or genitourinary cancer were retrospectively analyzed. Skeletal muscle index, skeletal muscle radiodensity, and visceral/subcutaneous adipose tissue index were determined. The primary outcome was overall survival determined by hospital records. Multivariate Cox hazard models were used to identify independent predictors for poor survival. C-statistics were assessed to quantify the prognostic capability of the models with or without incorporating body composition parameters.

Results

Survival curves were significantly demarcated by all 4 measures. Skeletal muscle radiodensity was associated with non-cancer-related deaths but not with cancer-specific survival. The survival outcome of patients with low skeletal muscle index was poor (5-year OS; 65.2%), especially when present in combination with low skeletal muscle radiodensity (5-year overall survival; 50.2%). All examined body composition parameters were independent predictors of lower overall survival. The model for predicting overall survival without incorporating body composition parameters had a c-index of 0.68 but increased to 0.71 with the inclusion of low skeletal muscle index and 0.72 when incorporating both low skeletal muscle index and low skeletal muscle radiodensity/visceral adipose tissue index/subcutaneous adipose tissue index.

Conclusion

Patients exhibiting both low skeletal muscle index and other body composition abnormalities, particularly low skeletal muscle radiodensity, had poorer overall survival. Models incorporating multiple body composition prove valuable for mortality prediction in oncology settings.

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CiteScore
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