Malnutrition in Older Cancer Patients
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 180
- 试验地点
- 2
- 主要终点
- Mortality
研究概览
简要总结
This trial studies how well comprehensive nutritional geriatric assessments work in identifying malnutrition in older cancer participants. Comprehensive nutritional geriatric assessments may help doctors learn about ways to check for malnutrition (loss of weight/appetite that may result in health problems) that is due to cancer or cancer treatment.
详细描述
PRIMARY OBJECTIVES:
I. To evaluate whether nutritional status, as determined by each of 4 screening tools (Mini Nutritional Assessment [MNA], weight loss, body mass index [BMI], and lean muscle mass), correlates with 6-month and 12-month mortality in older cancer patients after geriatric assessment, after adjusting for covariates.
II. To evaluate whether nutritional status, as determined by each of by 4 screening tools (MNA, weight loss, BMI, and lean muscle mass) correlates with 6-month and 12-month unplanned hospitalization in older cancer patients who undergo geriatric assessment, after adjusting for covariates.
III. To evaluate whether nutritional status, as determined by each of 4 screening tools (MNA, weight loss, BMI, and lean muscle mass) correlates with 6-month and 12-month hospital readmissions in older cancer patients who undergo geriatric assessment, after adjusting for covariates.
OUTLINE:
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
- 65 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •With hematologic and solid tumor cancers.
- •Undergo a comprehensive geriatric assessment by a geriatrician.
排除标准
- •Unable or unwilling to sign consent form.
- •Life expectancy under 6 months.
结局指标
主要结局
Mortality
时间窗: At 6 months
The association between nutrition status and mortality (6-month and 1-year mortality since geriatric assessment) will be assessed by logistic regression analysis, considering mortality as a response variable. Univariate logistic regression analysis will be used to estimate the crude odds ratio, and multivariable logistic regression will be used to estimate the adjusted odds ratio, after controlling for potential confounder variables, such as age, race, cancer type, cancer stage, co-morbidity, cognitive status), and frailty. ROC curve to predict 6-month and 1-year mortality will be constructed for nutritional status, as determined by each screening tool. The area under the ROC curve, sensitivity, and specificity and 95% confidence intervals will be obtained for each screening tool.
次要结局
- Mortality(At 1 year)
- Unplanned hospitalization rate(At 6 months and 1 year)
- Hospital readmission rate(At 6 months)
- Re-hospitalization rate(At 1 year)