Комплексная гериатрическая оценка питания при выявлении недоедания у пожилых людей, страдающих раком
Недоедание у пожилых больных раком
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.
Обзор исследования
Статус
Условия
Вмешательство/лечение
Подробное описание
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.
Тип исследования
Регистрация (Действительный)
Контакты и местонахождение
Места учебы
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Texas
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Houston, Texas, Соединенные Штаты, 77030
- M D Anderson Cancer Center
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Критерии участия
Критерии приемлемости
Возраст, подходящий для обучения
Принимает здоровых добровольцев
Полы, имеющие право на обучение
Метод выборки
Исследуемая популяция
Participants with hematologic and solid tumor cancers, undergo a comprehensive geriatric assessment by a geriatrician
Описание
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.
Учебный план
Как устроено исследование?
Детали дизайна
- Наблюдательные модели: COHORT
- Временные перспективы: PROSPECTIVE
Когорты и вмешательства
Группа / когорта |
Вмешательство/лечение |
|---|---|
|
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 |
Что измеряет исследование?
Первичные показатели результатов
Мера результата |
Мера Описание |
Временное ограничение |
|---|---|---|
|
Mortality
Временное ограничение: 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
|
Вторичные показатели результатов
Мера результата |
Мера Описание |
Временное ограничение |
|---|---|---|
|
Mortality
Временное ограничение: 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
Временное ограничение: 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
Временное ограничение: 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
Временное ограничение: 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
|
Соавторы и исследователи
Спонсор
Следователи
- Главный следователь: Mehnaz Shafi, M.D. Anderson Cancer Center
Публикации и полезные ссылки
Полезные ссылки
Даты записи исследования
Изучение основных дат
Начало исследования (Действительный)
Первичное завершение (Оцененный)
Завершение исследования (Оцененный)
Даты регистрации исследования
Первый отправленный
Впервые представлено, что соответствует критериям контроля качества
Первый опубликованный (Оцененный)
Обновления учебных записей
Последнее опубликованное обновление (Действительный)
Последнее отправленное обновление, отвечающее критериям контроля качества
Последняя проверка
Дополнительная информация
Термины, связанные с этим исследованием
Дополнительные соответствующие термины MeSH
- Новообразования по локализации
- Новообразования
- Гематологические заболевания
- Гемики и лимфатические заболевания
- Гематологические новообразования
- Качество, доступ и оценка здравоохранения
- Следственные методы
- Эпидемиологические методы
- Сбор данных
- Механизмы оценки здравоохранения
- Качество здравоохранения
- Общественное здравоохранение
- Окружающая среда и общественное здравоохранение
- Характеристики населения
- Состояние здоровья
- Демография
- Эпидемиологические измерения
- Гериатрическая оценка
Другие идентификационные номера исследования
- 2016-0705
- 2016-0705 (Другой идентификатор: M D Anderson Cancer Center)
- NCI-2018-01280 (Идентификатор реестра: CTRP (Clinical Trial Reporting Program))
Информация о лекарствах и устройствах, исследовательские документы
Изучает лекарственный продукт, регулируемый FDA США.
Изучает продукт устройства, регулируемый Управлением по санитарному надзору за качеством пищевых продуктов и медикаментов США.
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