Related Experiment Video
Updated: Jan 26, 2026
09:39
Normal and Malignant Muscle Cell Transplantation into Immune Compromised Adult Zebrafish
Published on: December 26, 2014
11.3K
Function, Survival, and Care Utilization Among Older Adults With Hematologic Malignancies
Clark DuMontier1,2,3, Michael A Liu2,4, Anays Murillo5
1Division of Gerontology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
Journal of the American Geriatrics Society
|April 5, 2019
Summary
Instrumental activities of daily living (iADLs) dependency predicts higher mortality and acute care use in older adults with hematologic malignancies. Routine iADL assessment is crucial for this population.
Area of Science:
- Geriatric Oncology
- Hematologic Malignancies
- Activities of Daily Living
Background:
- Cancer organizations recommend assessing instrumental activities of daily living (iADLs) in older cancer patients.
- Limited data exists on iADLs' role in survival and acute care use for older adults with hematologic malignancies.
Purpose of the Study:
- To investigate the association between dependency in basic activities of daily living (ADLs) and iADLs with survival and acute care utilization in older adults with hematologic malignancies.
Main Methods:
- Prospective cohort study of 464 adults aged 75+ with hematologic malignancies.
- Geriatric assessment including ADLs and iADLs.
- Univariable and multivariable analyses to assess associations with mortality and acute care utilization (emergency department visits, hospitalizations).
Main Results:
- Dependency in iADLs, but not ADLs, was significantly associated with higher mortality (HR=2.34) and increased odds of emergency department visits (OR=2.76) and hospitalizations (OR=2.89).
- Impairments in shopping, meal preparation, and housework were independently linked to increased mortality risk.
- Geriatric impairments like cognitive impairment and physical dysfunction were associated with iADL dependency.
Conclusions:
- Older adults with hematologic malignancies and iADL dependency face higher mortality and acute care utilization.
- Formal assessment of iADLs should be integrated into routine oncology care for this demographic.
Related Concept Videos
01:19Survival Tree
411
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
411
01:18Survival Curves
688
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
688
01:18Introduction To Survival Analysis
770
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
770
01:20Comparing the Survival Analysis of Two or More Groups
582
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
582
01:09Truncation in Survival Analysis
608
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
608
01:09Censoring Survival Data
538
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
538