Hematopoietic and Lymphoid Cell Neoplasm Clinical Trial
Official title:
Seamless Phase II-Phase III Randomized Clinical Trial to Identify and Confirm the Most Promising Novel Intervention to Alleviate Morbidity and Mortality After Allogeneic Hematopoietic Cell Transplantation Among Older, Medically Infirm, or Frail Patients With Hematological Diseases
This phase II/III trial studies the best approach in improving quality of life and survival after a donor stem cell transplant in older, weak, or frail patients with blood diseases. Patients who have undergone a transplant often experience increases in disease and death. One approach, supportive and palliative care (SPC), focuses on relieving symptoms of stress from serious illness and care through physical, cultural, psychological, social, spiritual, and ethical aspects. While a second approach, clinical management of comorbidities (CMC) focuses on managing multiple diseases, other than cancer, such as heart or lung diseases through physical exercise, strength training, stress reduction, medication management, dietary recommendations, and education. Giving SPC, CMC, or a combination of both may work better in improving quality of life and survival after a donor stem cell transplant compared to standard of care in patients with blood diseases.
Status | Recruiting |
Enrollment | 620 |
Est. completion date | June 30, 2025 |
Est. primary completion date | June 30, 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 20 Years and older |
Eligibility | Inclusion Criteria: - Vulnerable patients as defined by one or more of the following criteria - Age 65 years or older - Having Hematopoietic Cell Transplantation - Comorbidity Index (HCT-CI) scores of >= 3 (for patients that could be 20 years old and older) - Having frailty as determined by walk speed of < 0.8 m/s using 4-meter walk test (for patients 50 years old and older) - Patients considered or referred for allogeneic HCT to treat a hematological malignant or non-malignant disease - Able to speak and read English - interaction with the interventionist trainer and endpoint measurement must occur in English - Willing and able to provide informed consent - Planned allogeneic HCT within 3 weeks - all types of donors and all sorts of conditioning regimens are allowed. Patients with suspected active disease (relatively old disease staging or relatively old intervention) or significant comorbidity (e.g. suspicious untreated pulmonary nodules) based on prior evaluations, that could delay the transplant would be considered for enrollment within a tighter window (10-14 days before allogeneic HCT) to allow for completed pre-HCT work-up evaluations that would confirm readiness to proceed with transplant - Able to exercise at low to moderate intensity, specifically taking into consideration the rare circumstances where subjects are not able to exercise due to either birth deformity or prior traumatic injury that affects their gait - Adequate cardiopulmonary reserve, as judged by data from the patient's electronic medical record as to whether a patient could walk up one flight of stairs, no need for supplemental oxygen, and/or physician judgment Exclusion Criteria: - Orthopedic, neurologic or other problems which prevent safe ambulation and protocol adherence. Information on prior falls and other recent orthopedic or neurologic problems will be used to make judgment about protocol eligibility - Participation in another intervention clinical trial with HRQOL as a primary endpoint - Planned donor lymphocyte infusion (DLI) within 90 days post-transplant - Planned anti-cytotoxic therapies, other than tyrosine kinase inhibitors or single-agent monoclonal antibody, or FLT-3 inhibitors within 90 days of post-transplant unless pre-approved by the protocol principal investigator (PI) |
Country | Name | City | State |
---|---|---|---|
United States | Cleveland Clinic Taussig Cancer Institute, Case Comprehensive Cancer Center | Cleveland | Ohio |
United States | Wayne State University/Karmanos Cancer Institute | Detroit | Michigan |
United States | Baylor College of Medicine/Dan L Duncan Comprehensive Cancer Center | Houston | Texas |
United States | University of Minnesota/Masonic Cancer Center | Minneapolis | Minnesota |
United States | Northwell Health Cancer Institute | New Hyde Park | New York |
United States | Stanford Cancer Institute Palo Alto | Palo Alto | California |
United States | Oregon Health and Science University | Portland | Oregon |
United States | Mayo Clinic | Rochester | Minnesota |
United States | University of California San Francisco | San Francisco | California |
United States | Fred Hutch/University of Washington Cancer Consortium | Seattle | Washington |
Lead Sponsor | Collaborator |
---|---|
Fred Hutchinson Cancer Center | National Cancer Institute (NCI), National Institutes of Health (NIH) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Improvement in health-related quality of life (HRQOL) (Phase II) | The arm with the largest mean change in Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) from baseline to day 90. The Wilcoxon rank-sum test will be used to compare change in FACT-BMT between arms, and this will also be the test to be used in computation of the conditional power at the end of phase II. | First 90 days after HCT | |
Primary | Survival after hematopoietic cell transplantation (HCT) (Phase III) | At 1 year after HCT | ||
Primary | Change in HRQOL (Phase III) | Will be measured by the FACT-BMT. | Baseline to 90 days post-HCT | |
Secondary | Rate of overall survival | Overall survival will be compared between each of the experimental arms and the usual care only (UCO) arm using the log-rank test. Arms that do not survive the screening phase will also be included for comparison. | Up to 1 year | |
Secondary | Non-relapse mortality | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; analysis of variance (ANOVA) or Kruskal-Wallis test for comparisons involving more than two groups). Will use generalized estimating equations (GEEs) approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | At 90 days and up to 1 year | |
Secondary | Cumulative incidence of relapse | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 1 year | |
Secondary | Relapse-free survival | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 1 year | |
Secondary | Cumulative incidence of frailty | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 1 year | |
Secondary | Cumulative incidence of disability | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 1 year | |
Secondary | Frequency of hospitalization | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 90 days after HCT | |
Secondary | Duration of each hospitalization | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 90 days after HCT | |
Secondary | Number of admissions to intensive care unit | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 90 days after HCT | |
Secondary | Duration of admissions to intensive care unit | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 90 days after HCT | |
Secondary | Days out of hospital alive | Will be compared between arms using appropriate tests for continuous data (two-sample t-test or Wilcoxon rank-sum test, as appropriate for two-group comparisons; ANOVA or Kruskal-Wallis test for comparisons involving more than two groups). Will use GEEs approach for regression models, which can accommodate the within patient correlation structure and arbitrary patterns of missing data and also allow for the population average interpretation. | Up to 90 days after HCT |
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