老年癌症参与者营养不良综合营养评估
老年癌症患者的营养不良
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.
研究概览
详细说明
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:
Participants undergo nutritional geriatric assessment over 15 minutes in person or on the phone every 3 months for 12 months.
研究类型
注册 (实际的)
联系人和位置
学习地点
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-
Texas
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Houston、Texas、美国、77030
- M D Anderson Cancer Center
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
Participants with hematologic and solid tumor cancers, undergo a comprehensive geriatric assessment by a geriatrician
描述
Inclusion Criteria:
- With hematologic and solid tumor cancers.
- Undergo a comprehensive geriatric assessment by a geriatrician.
Exclusion Criteria:
- Unable or unwilling to sign consent form.
- Life expectancy under 6 months.
学习计划
研究是如何设计的？
设计细节
- 观测模型：COHORT
- 时间观点：PROSPECTIVE
队列和干预
团体/队列 |
干预/治疗 |
|---|---|
|
Nutritional geriatric assessment
Participants undergo nutritional geriatric assessment over 15 minutes in person or on the phone every 3 months for 12 months. |
Undergo nutritional geriatric assessment |
研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Mortality
大体时间：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. |
At 6 months
|
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Mortality
大体时间：At 1 year
|
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. |
At 1 year
|
|
Unplanned hospitalization rate
大体时间：At 6 months and 1 year
|
The associations between nutrition status and unplanned hospitalization will be assessed by logistic regression analysis. Univariate logistic regression analysis will be used to get the crude odds ratio, and multivariable logistic regression will be used to get the adjusted odds ratio, after controlling for potential confounder variables, such as age, race, cancer type, cancer stage, co-morbidity, cognitive status, and frailty. Patients who died before 6 months or 1 year from geriatric test will be considered as having unplanned 6-month or 1-year hospitalization. ROC curve to predict each of secondary outcomes 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. Descriptive statistics will be used to summarize data. Two sample t-test or Wilcoxon rank-sum test will be used for the comparison in numeric variables. |
At 6 months and 1 year
|
|
Hospital readmission rate
大体时间：At 6 months
|
The associations between nutrition status and hospital readmissions will be assessed by logistic regression analysis. Univariate logistic regression analysis will be used to get the crude odds ratio, and multivariable logistic regression will be used to get the adjusted odds ratio, after controlling for potential confounder variables, such as age, race, cancer type, cancer stage, co-morbidity, cognitive status, and frailty. Patients who died before 6 months or 1 year from geriatric test will be considered as having unplanned 6-month or 1-year hospitalization. ROC curve to predict each of secondary outcomes 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. Descriptive statistics will be used to summarize data. Two sample t-test or Wilcoxon rank-sum test will be used for the comparison in numeric variables. |
At 6 months
|
|
Re-hospitalization rate
大体时间：At 1 year
|
The associations between nutrition status and hospital readmissions will be assessed by logistic regression analysis. Univariate logistic regression analysis will be used to get the crude odds ratio, and multivariable logistic regression will be used to get the adjusted odds ratio, after controlling for potential confounder variables, such as age, race, cancer type, cancer stage, co-morbidity, cognitive status, and frailty. Patients who died before 6 months or 1 year from geriatric test will be considered as having unplanned 6-month or 1-year hospitalization. ROC curve to predict each of secondary outcomes 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. Descriptive statistics will be used to summarize data. Two sample t-test or Wilcoxon rank-sum test will be used for the comparison in numeric variables. |
At 1 year
|
合作者和调查者
调查人员
- 首席研究员：Mehnaz Shafi、M.D. Anderson Cancer Center
出版物和有用的链接
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (估计的)
研究完成 (估计的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
其他相关的 MeSH 术语
其他研究编号
- 2016-0705
- 2016-0705 (其他标识符：M D Anderson Cancer Center)
- NCI-2018-01280 (注册表标识符：CTRP (Clinical Trial Reporting Program))
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研究美国 FDA 监管的设备产品
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