NCT03434561

Brief Summary

Comorbidity assessment in the field of HCT might be a burden on the medical team at the clinic or the research staff. This research study aims to explore and validate new methods, Claims-based and patient questionnaire-based, as alternatives to the standard chart-based method in order to facilitate comorbidity coding. The study aims to save time and effort of medical personnel and to ensure the inclusion of comorbidity information in all clinical trials and outcome research studies in order to improve the accuracy of treatment decision-making, patient assignment to appropriate HCT strategy and hence HCT outcomes.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
360

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Mar 2013

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

March 22, 2013

Completed
3.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2016

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2016

Completed
1.7 years until next milestone

First Submitted

Initial submission to the registry

February 9, 2018

Completed
6 days until next milestone

First Posted

Study publicly available on registry

February 15, 2018

Completed
Last Updated

May 31, 2023

Status Verified

May 1, 2018

Enrollment Period

3.2 years

First QC Date

February 9, 2018

Last Update Submit

May 30, 2023

Conditions

Hematopoietic Malignancy

Keywords

hematopoietic stem cell transplantation

Outcome Measures

Primary Outcomes (1)

  • Compare the rate of agreement on HCT-CI scores between 3 measures

    3 measures: the questionnaire-based and the claims-based methods versus the chart-based method.

    2 years

Secondary Outcomes (1)

  • Assess the accuracy of predicting HCT outcomes and resource utilization (e.g., hospitalization) between the three methods of scoring

    2 years

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients diagnosed with hematological malignancies who are being treated with allogeneic hematopoietic cell transplantation (HCT) at the Seattle Cancer Care Alliance

You may qualify if:

  • Patients eligible for autologous or allogeneic HCT.
  • Able to speak and read English.
  • Willing and able to provide informed consent.
  • There is no restriction based on diagnosis, intensity of conditioning regimen, type of donor graft, degree of HLA-matching, or stem cell source.
  • Patients \>20 years old
  • Access to a telephone for study-related communications.

You may not qualify if:

  • HCT candidates who cannot read, write, or speak English.
  • Patients \<20 years old

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fred Hutchinson Cancer Research Center

Seattle, Washington, 98109, United States

Location

Related Publications (20)

  • Sorror ML, Maris MB, Storer B, Sandmaier BM, Diaconescu R, Flowers C, Maloney DG, Storb R. Comparing morbidity and mortality of HLA-matched unrelated donor hematopoietic cell transplantation after nonmyeloablative and myeloablative conditioning: influence of pretransplantation comorbidities. Blood. 2004 Aug 15;104(4):961-8. doi: 10.1182/blood-2004-02-0545. Epub 2004 Apr 27.

    PMID: 15113759BACKGROUND

  • Diaconescu R, Flowers CR, Storer B, Sorror ML, Maris MB, Maloney DG, Sandmaier BM, Storb R. Morbidity and mortality with nonmyeloablative compared with myeloablative conditioning before hematopoietic cell transplantation from HLA-matched related donors. Blood. 2004 Sep 1;104(5):1550-8. doi: 10.1182/blood-2004-03-0804. Epub 2004 May 18.

    PMID: 15150081BACKGROUND

  • Piccirillo JF, Vlahiotis A, Barrett LB, Flood KL, Spitznagel EL, Steyerberg EW. The changing prevalence of comorbidity across the age spectrum. Crit Rev Oncol Hematol. 2008 Aug;67(2):124-32. doi: 10.1016/j.critrevonc.2008.01.013. Epub 2008 Mar 28.

    PMID: 18375141BACKGROUND

  • Gloeckler Ries LA, Reichman ME, Lewis DR, Hankey BF, Edwards BK. Cancer survival and incidence from the Surveillance, Epidemiology, and End Results (SEER) program. Oncologist. 2003;8(6):541-52. doi: 10.1634/theoncologist.8-6-541.

    PMID: 14657533BACKGROUND

  • McClune BL, Weisdorf DJ, Pedersen TL, Tunes da Silva G, Tallman MS, Sierra J, Dipersio J, Keating A, Gale RP, George B, Gupta V, Hahn T, Isola L, Jagasia M, Lazarus H, Marks D, Maziarz R, Waller EK, Bredeson C, Giralt S. Effect of age on outcome of reduced-intensity hematopoietic cell transplantation for older patients with acute myeloid leukemia in first complete remission or with myelodysplastic syndrome. J Clin Oncol. 2010 Apr 10;28(11):1878-87. doi: 10.1200/JCO.2009.25.4821. Epub 2010 Mar 8.

    PMID: 20212255BACKGROUND

  • van Spronsen DJ, Janssen-Heijnen ML, Lemmens VE, Peters WG, Coebergh JW. Independent prognostic effect of co-morbidity in lymphoma patients: results of the population-based Eindhoven Cancer Registry. Eur J Cancer. 2005 May;41(7):1051-7. doi: 10.1016/j.ejca.2005.01.010.

    PMID: 15862755BACKGROUND

  • Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-83. doi: 10.1016/0021-9681(87)90171-8.

    PMID: 3558716BACKGROUND

  • Di Iorio B, Cillo N, Cirillo M, De Santo NG. Charlson Comorbidity Index is a predictor of outcomes in incident hemodialysis patients and correlates with phase angle and hospitalization. Int J Artif Organs. 2004 Apr;27(4):330-6. doi: 10.1177/039139880402700409.

    PMID: 15163067BACKGROUND

  • Goldstein LB, Samsa GP, Matchar DB, Horner RD. Charlson Index comorbidity adjustment for ischemic stroke outcome studies. Stroke. 2004 Aug;35(8):1941-5. doi: 10.1161/01.STR.0000135225.80898.1c. Epub 2004 Jul 1.

    PMID: 15232123BACKGROUND

  • Hemmelgarn BR, Manns BJ, Quan H, Ghali WA. Adapting the Charlson Comorbidity Index for use in patients with ESRD. Am J Kidney Dis. 2003 Jul;42(1):125-32. doi: 10.1016/s0272-6386(03)00415-3.

    PMID: 12830464BACKGROUND

  • Sachdev M, Sun JL, Tsiatis AA, Nelson CL, Mark DB, Jollis JG. The prognostic importance of comorbidity for mortality in patients with stable coronary artery disease. J Am Coll Cardiol. 2004 Feb 18;43(4):576-82. doi: 10.1016/j.jacc.2003.10.031.

    PMID: 14975466BACKGROUND

  • Lubke T, Monig SP, Schneider PM, Holscher AH, Bollschweiler E. [Does Charlson-comorbidity index correlate with short-term outcome in patients with gastric cancer?]. Zentralbl Chir. 2003 Nov;128(11):970-6. doi: 10.1055/s-2003-44805. German.

    PMID: 14669119BACKGROUND

  • Firat S, Byhardt RW, Gore E. Comorbidity and Karnofksy performance score are independent prognostic factors in stage III non-small-cell lung cancer: an institutional analysis of patients treated on four RTOG studies. Radiation Therapy Oncology Group. Int J Radiat Oncol Biol Phys. 2002 Oct 1;54(2):357-64. doi: 10.1016/s0360-3016(02)02939-5.

    PMID: 12243808BACKGROUND

  • Sabin SL, Rosenfeld RM, Sundaram K, Har-el G, Lucente FE. The impact of comorbidity and age on survival with laryngeal cancer. Ear Nose Throat J. 1999 Aug;78(8):578, 581-4.

    PMID: 10485151BACKGROUND

  • Singh B, Bhaya M, Stern J, Roland JT, Zimbler M, Rosenfeld RM, Har-El G, Lucente FE. Validation of the Charlson comorbidity index in patients with head and neck cancer: a multi-institutional study. Laryngoscope. 1997 Nov;107(11 Pt 1):1469-75. doi: 10.1097/00005537-199711000-00009.

    PMID: 9369392BACKGROUND

  • Extermann M. Measuring comorbidity in older cancer patients. Eur J Cancer. 2000 Mar;36(4):453-71. doi: 10.1016/s0959-8049(99)00319-6.

    PMID: 10717521BACKGROUND

  • Katz JN, Chang LC, Sangha O, Fossel AH, Bates DW. Can comorbidity be measured by questionnaire rather than medical record review? Med Care. 1996 Jan;34(1):73-84. doi: 10.1097/00005650-199601000-00006.

    PMID: 8551813BACKGROUND

  • Corser W, Sikorskii A, Olomu A, Stommel M, Proden C, Holmes-Rovner M. "Concordance between comorbidity data from patient self-report interviews and medical record documentation". BMC Health Serv Res. 2008 Apr 16;8:85. doi: 10.1186/1472-6963-8-85.

    PMID: 18416841BACKGROUND

  • Sorror ML, Maris MB, Storb R, Baron F, Sandmaier BM, Maloney DG, Storer B. Hematopoietic cell transplantation (HCT)-specific comorbidity index: a new tool for risk assessment before allogeneic HCT. Blood. 2005 Oct 15;106(8):2912-9. doi: 10.1182/blood-2005-05-2004. Epub 2005 Jun 30.

    PMID: 15994282BACKGROUND

  • Bacigalupo A, Ballen K, Rizzo D, Giralt S, Lazarus H, Ho V, Apperley J, Slavin S, Pasquini M, Sandmaier BM, Barrett J, Blaise D, Lowski R, Horowitz M. Defining the intensity of conditioning regimens: working definitions. Biol Blood Marrow Transplant. 2009 Dec;15(12):1628-33. doi: 10.1016/j.bbmt.2009.07.004. Epub 2009 Sep 1.

    PMID: 19896087BACKGROUND

MeSH Terms

Conditions

Hematologic Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsHematologic DiseasesHemic and Lymphatic Diseases

Study Officials

  • Mohamed Sorror, MD

    Associate Member, Fred Hutch

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 9, 2018

First Posted

February 15, 2018

Study Start

March 22, 2013

Primary Completion

June 1, 2016

Study Completion

June 1, 2016

Last Updated

May 31, 2023

Record last verified: 2018-05

Data Sharing

IPD Sharing
Will not share

Locations

US(1)