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ORLANDO, FL—Frailty after hematopoietic stem cell transplant (HSCT), while associated with higher mortality, is not necessarily a function of age, according to investigators studying the impact of frailty on transplant outcomes.
Instead, other factors, such as increasing time from transplant, employment status, medical leave or disability, and limitations of social activities, were significantly associated with higher odds of frailty.
The investigators prospectively studied 96 HSCT recipients, age 40 and older, to determine the prevalence of frailty in HSCT populations and its impact on outcomes, including early post-transplant non-relapse mortality (NRM).
Mukta Arora, MD, of the University of Minnesota in Minneapolis, reported the findings at the 2015 ASH Annual Meeting (abstract 388*).
The investigators defined frailty as the presence of 3 or more of the following criteria: low grip strength, exhaustion, slowed walking speed, low physical activity, and unintentional weight loss. They defined pre-frailty as having 1 or 2 of these characteristics.
The investigators conducted multi-domain geriatric assessments of patients prior to HSCT and after transplant at 100 days, 6 months, and 1 year. The assessment included function, comorbidity, cognition, psychological state, social activity/support, nutritional status, and demographic, transplant, and disease-related information.
Forty-eight patients were in the younger age group (40–59), and 48 were in the older age group (60–74). All had undergone HSCT between February 2014 and April 2015.
Patient demographics
Patients in the younger group were a median age of 54 (range, 40–59) at transplant. Sixty-five percent were male, 58% had an autologous transplant, and 79% received myeloablative conditioning.
Patients in the older group were a median age of 65 (range, 60–73) at transplant. Fifty-four percent were male, 46% had an autologous transplant, and 46% had myeloablative conditioning.
The difference between the older and younger groups in their conditioning regimen was significant (P<0.01).
The groups were comparable in terms of the HSCT comorbidity index but were significantly different in employment status (P<0.01).
“As expected,” Dr Arora said, “there were more patients who were retired in the older group.”
In the younger group, 31% were employed, 3% retired, 56% on medical leave or disabled, and 10% unemployed.
In the older group, 6% were employed, 62% retired, 28% on medical leave or disabled, and 4% unemployed.
“There was no difference in the social activity and social support scores between the 2 groups,” Dr Arora observed.
Frailty assessments
In the younger group, at baseline, the prevalence of pre-frailty was 47%, and the prevalence of frailty was 11%. At 6 months after HSCT, the prevalence of pre-frailty was 45%, and the prevalence of frailty was 41% (P<0.01).
In the older group, at baseline, the prevalence of pre-frailty was 42%, and the prevalence of frailty was 6%. At 6 months, the prevalence of pre-frailty was 44%, and the prevalence of frailty was 38% (P<0.01).
The investigators then estimated the predictors of frailty.
Significant predictors of frailty included time since HSCT (odds ratio [OR]=3.7, 95% CI: 1.9-7.2, P<0.01), employment status (retired: OR=7.3, 95% CI 1.2 – 46.2, P=0.03), on medical leave or disabled (OR=11.2, 95% CI: 1.8 – 67.7, P=0.01), limitations in social activities (OR=1.04, 95% CI: 1.01 – 1.08, P=0.01), and baseline pre-frailty (OR=3.1, 95% CI: 2.3 – 45.5, P<0.01).
Allogeneic transplant was associated with higher odds of frailty than autologous (OR=3.1, 95% CI: 0.9 – 10.2), although it did not reach significance (P=0.06).
Investigators next estimated the impact of frailty or pre-frailty on NRM and identified a trend toward increased NRM in frail patients.
The 46 patients classified as not frail at baseline had a 7% cumulative incidence of NRM (P=0.07). The 42 patients classified as pre-frail had a 23% cumulative incidence of NRM, while the 8 patients classified as frail at baseline had a 28% cumulative incidence of NRM.
“So, to conclude, in this early study, frailty was noted in 8% and pre-frailty in 44% of the transplant population prior to transplant, and was not dependent on age,” Dr Arora said. “Frailty is a transitional state and appears to reflect a dynamic progression from robustness to functional decline with time since [HSCT].”
Because frailty is associated with higher mortality, the investigators believe vulnerable populations should be identified and their need for specific interventions defined.
This research was funded by the Leukemia & Lymphoma Society.
*Data in the abstract differ from the presentation.
Photo by Peter Griffin
ORLANDO, FL—Frailty after hematopoietic stem cell transplant (HSCT), while associated with higher mortality, is not necessarily a function of age, according to investigators studying the impact of frailty on transplant outcomes.
Instead, other factors, such as increasing time from transplant, employment status, medical leave or disability, and limitations of social activities, were significantly associated with higher odds of frailty.
The investigators prospectively studied 96 HSCT recipients, age 40 and older, to determine the prevalence of frailty in HSCT populations and its impact on outcomes, including early post-transplant non-relapse mortality (NRM).
Mukta Arora, MD, of the University of Minnesota in Minneapolis, reported the findings at the 2015 ASH Annual Meeting (abstract 388*).
The investigators defined frailty as the presence of 3 or more of the following criteria: low grip strength, exhaustion, slowed walking speed, low physical activity, and unintentional weight loss. They defined pre-frailty as having 1 or 2 of these characteristics.
The investigators conducted multi-domain geriatric assessments of patients prior to HSCT and after transplant at 100 days, 6 months, and 1 year. The assessment included function, comorbidity, cognition, psychological state, social activity/support, nutritional status, and demographic, transplant, and disease-related information.
Forty-eight patients were in the younger age group (40–59), and 48 were in the older age group (60–74). All had undergone HSCT between February 2014 and April 2015.
Patient demographics
Patients in the younger group were a median age of 54 (range, 40–59) at transplant. Sixty-five percent were male, 58% had an autologous transplant, and 79% received myeloablative conditioning.
Patients in the older group were a median age of 65 (range, 60–73) at transplant. Fifty-four percent were male, 46% had an autologous transplant, and 46% had myeloablative conditioning.
The difference between the older and younger groups in their conditioning regimen was significant (P<0.01).
The groups were comparable in terms of the HSCT comorbidity index but were significantly different in employment status (P<0.01).
“As expected,” Dr Arora said, “there were more patients who were retired in the older group.”
In the younger group, 31% were employed, 3% retired, 56% on medical leave or disabled, and 10% unemployed.
In the older group, 6% were employed, 62% retired, 28% on medical leave or disabled, and 4% unemployed.
“There was no difference in the social activity and social support scores between the 2 groups,” Dr Arora observed.
Frailty assessments
In the younger group, at baseline, the prevalence of pre-frailty was 47%, and the prevalence of frailty was 11%. At 6 months after HSCT, the prevalence of pre-frailty was 45%, and the prevalence of frailty was 41% (P<0.01).
In the older group, at baseline, the prevalence of pre-frailty was 42%, and the prevalence of frailty was 6%. At 6 months, the prevalence of pre-frailty was 44%, and the prevalence of frailty was 38% (P<0.01).
The investigators then estimated the predictors of frailty.
Significant predictors of frailty included time since HSCT (odds ratio [OR]=3.7, 95% CI: 1.9-7.2, P<0.01), employment status (retired: OR=7.3, 95% CI 1.2 – 46.2, P=0.03), on medical leave or disabled (OR=11.2, 95% CI: 1.8 – 67.7, P=0.01), limitations in social activities (OR=1.04, 95% CI: 1.01 – 1.08, P=0.01), and baseline pre-frailty (OR=3.1, 95% CI: 2.3 – 45.5, P<0.01).
Allogeneic transplant was associated with higher odds of frailty than autologous (OR=3.1, 95% CI: 0.9 – 10.2), although it did not reach significance (P=0.06).
Investigators next estimated the impact of frailty or pre-frailty on NRM and identified a trend toward increased NRM in frail patients.
The 46 patients classified as not frail at baseline had a 7% cumulative incidence of NRM (P=0.07). The 42 patients classified as pre-frail had a 23% cumulative incidence of NRM, while the 8 patients classified as frail at baseline had a 28% cumulative incidence of NRM.
“So, to conclude, in this early study, frailty was noted in 8% and pre-frailty in 44% of the transplant population prior to transplant, and was not dependent on age,” Dr Arora said. “Frailty is a transitional state and appears to reflect a dynamic progression from robustness to functional decline with time since [HSCT].”
Because frailty is associated with higher mortality, the investigators believe vulnerable populations should be identified and their need for specific interventions defined.
This research was funded by the Leukemia & Lymphoma Society.
*Data in the abstract differ from the presentation.
Photo by Peter Griffin
ORLANDO, FL—Frailty after hematopoietic stem cell transplant (HSCT), while associated with higher mortality, is not necessarily a function of age, according to investigators studying the impact of frailty on transplant outcomes.
Instead, other factors, such as increasing time from transplant, employment status, medical leave or disability, and limitations of social activities, were significantly associated with higher odds of frailty.
The investigators prospectively studied 96 HSCT recipients, age 40 and older, to determine the prevalence of frailty in HSCT populations and its impact on outcomes, including early post-transplant non-relapse mortality (NRM).
Mukta Arora, MD, of the University of Minnesota in Minneapolis, reported the findings at the 2015 ASH Annual Meeting (abstract 388*).
The investigators defined frailty as the presence of 3 or more of the following criteria: low grip strength, exhaustion, slowed walking speed, low physical activity, and unintentional weight loss. They defined pre-frailty as having 1 or 2 of these characteristics.
The investigators conducted multi-domain geriatric assessments of patients prior to HSCT and after transplant at 100 days, 6 months, and 1 year. The assessment included function, comorbidity, cognition, psychological state, social activity/support, nutritional status, and demographic, transplant, and disease-related information.
Forty-eight patients were in the younger age group (40–59), and 48 were in the older age group (60–74). All had undergone HSCT between February 2014 and April 2015.
Patient demographics
Patients in the younger group were a median age of 54 (range, 40–59) at transplant. Sixty-five percent were male, 58% had an autologous transplant, and 79% received myeloablative conditioning.
Patients in the older group were a median age of 65 (range, 60–73) at transplant. Fifty-four percent were male, 46% had an autologous transplant, and 46% had myeloablative conditioning.
The difference between the older and younger groups in their conditioning regimen was significant (P<0.01).
The groups were comparable in terms of the HSCT comorbidity index but were significantly different in employment status (P<0.01).
“As expected,” Dr Arora said, “there were more patients who were retired in the older group.”
In the younger group, 31% were employed, 3% retired, 56% on medical leave or disabled, and 10% unemployed.
In the older group, 6% were employed, 62% retired, 28% on medical leave or disabled, and 4% unemployed.
“There was no difference in the social activity and social support scores between the 2 groups,” Dr Arora observed.
Frailty assessments
In the younger group, at baseline, the prevalence of pre-frailty was 47%, and the prevalence of frailty was 11%. At 6 months after HSCT, the prevalence of pre-frailty was 45%, and the prevalence of frailty was 41% (P<0.01).
In the older group, at baseline, the prevalence of pre-frailty was 42%, and the prevalence of frailty was 6%. At 6 months, the prevalence of pre-frailty was 44%, and the prevalence of frailty was 38% (P<0.01).
The investigators then estimated the predictors of frailty.
Significant predictors of frailty included time since HSCT (odds ratio [OR]=3.7, 95% CI: 1.9-7.2, P<0.01), employment status (retired: OR=7.3, 95% CI 1.2 – 46.2, P=0.03), on medical leave or disabled (OR=11.2, 95% CI: 1.8 – 67.7, P=0.01), limitations in social activities (OR=1.04, 95% CI: 1.01 – 1.08, P=0.01), and baseline pre-frailty (OR=3.1, 95% CI: 2.3 – 45.5, P<0.01).
Allogeneic transplant was associated with higher odds of frailty than autologous (OR=3.1, 95% CI: 0.9 – 10.2), although it did not reach significance (P=0.06).
Investigators next estimated the impact of frailty or pre-frailty on NRM and identified a trend toward increased NRM in frail patients.
The 46 patients classified as not frail at baseline had a 7% cumulative incidence of NRM (P=0.07). The 42 patients classified as pre-frail had a 23% cumulative incidence of NRM, while the 8 patients classified as frail at baseline had a 28% cumulative incidence of NRM.
“So, to conclude, in this early study, frailty was noted in 8% and pre-frailty in 44% of the transplant population prior to transplant, and was not dependent on age,” Dr Arora said. “Frailty is a transitional state and appears to reflect a dynamic progression from robustness to functional decline with time since [HSCT].”
Because frailty is associated with higher mortality, the investigators believe vulnerable populations should be identified and their need for specific interventions defined.
This research was funded by the Leukemia & Lymphoma Society.
*Data in the abstract differ from the presentation.