Comprehensive Nutritional Geriatric Assessments in Identifying Malnutrition in Older Cancer Participants

Malignant Solid Neoplasm Clinical Trial

Official title:

Malnutrition in Older Cancer Patients

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT03035604
• Other study ID #: 2016-0705
• Secondary ID: NCI-2018-0128020
• Status: Active, not recruiting
• Start date: January 24, 2017
• Est. completion date: December 31, 2024

Study information

• Verified date: June 2024
• Source: M.D. Anderson Cancer Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

Description:

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.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 180
• Est. completion date: December 31, 2024
• Est. primary completion date: December 31, 2024
• Accepts healthy volunteers: No
• Gender: All
• Age group: 65 Years and older

Eligibility

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.

Related Conditions & MeSH terms

• Hematopoietic and Lymphoid Cell Neoplasm
• Malignant Solid Neoplasm
• Malnutrition
• Neoplasms

Intervention

Other:
• Comprehensive Geriatric Assessment
Undergo nutritional geriatric assessment

Locations

Country	Name	City	State
United States	M D Anderson Cancer Center	Houston	Texas

Sponsors (1)

Lead Sponsor	Collaborator
M.D. Anderson Cancer Center

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Mortality	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
Secondary	Mortality	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
Secondary	Unplanned hospitalization rate	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
Secondary	Hospital readmission rate	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
Secondary	Re-hospitalization rate	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

External Links

•   University of Texas MD Anderson Cancer Center Website