BIA-measured Skeletal Muscle Mass Used to Assess Frailty in Older Gastric Cancer Patients
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 575
- 试验地点
- 1
- 主要终点
- Skeletal muscle mass
研究概览
简要总结
The primary aim of this study was to quantify the diagnosis of pre-surgical skeletal muscle mass in elderly gastric cancer patients and to analyse its correlation with frailty. The second aim was to investigate whether skeletal muscle mass, or sarcopenia, is associated with mobility and nutritional status, and anxiety and depression. The main questions it aims to answer are whether skeletal muscle mass is significantly associated with frailty and whether it can be used as a brief screening tool for preoperative frailty.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 60 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •diagnosed with gastric cancer by endoscopy or pathology; age >60 years old; radical gastrectomy was proposed; be able to communicate simply in writing and verbal.
排除标准
- •received preoperative radiotherapy or chemotherapy; combined with other sites of malignant tumors; combined with severe heart, liver, lung and renal insufficiency; recent using hormones, immunosuppressants; with physical disabilities.
结局指标
主要结局
Skeletal muscle mass
时间窗: Within 24 hours of admission
Skeletal muscle mass was measured by bioelectrical impedance analysis(BIA) and was classified as sarcopenia if it was less than 7.0 kg/m2 in men and 5.7 kg/m2 in women.
frailty
时间窗: Within 24 hours of admission and discharge
The Tilburg frailty scale was used to assess the frailty of older people with gastric cancer. The Tilburg frailty scale was compiled by Gobbens et al. The scale contains 15 items in three dimensions of physical, psychological and social frailty. The total score of the scale is 0-15 points and the cut-off value of the total scale was 5, with higher score indicating more severe frailty.
次要结局
- Nutritional Status(Within 24 hours of admission and discharge)
- anxiety and depression(Within 24 hours of admission and discharge)
研究者
Yinning Guo
PhD student
Nanjing Medical University