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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03434561
Other study ID # 2650
Secondary ID 4R00HL088021-03
Status Completed
Phase
First received
Last updated
Start date March 22, 2013
Est. completion date June 2016

Study information

Verified date May 2018
Source Fred Hutchinson Cancer Center
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.


Description:

Studies have shown the importance of pre-transplant comorbidities in predicting mortality after allogeneic HCT. However, comorbidity assessment 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 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. This study will investigate two parallel approaches aimed at simplifying comorbidity assessment and thereby facilitating wide-spread use of the HCT-CI. Patient questionnaire-based and Claims-based methods will be tested as possible alternative to the Chart-based method. primary outcome is prediction of non-relapse mortality. It is expected that once this method of comorbidity coding is validated, it will benefit physicians in non-academic institutions and community clinics.


Recruitment information / eligibility

Status Completed
Enrollment 360
Est. completion date June 2016
Est. primary completion date June 2016
Accepts healthy volunteers No
Gender All
Age group 20 Years and older
Eligibility Inclusion Criteria: - 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. Exclusion Criteria: - HCT candidates who cannot read, write, or speak English. - Patients <20 years old

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
United States Fred Hutchinson Cancer Research Center Seattle Washington

Sponsors (2)

Lead Sponsor Collaborator
Fred Hutchinson Cancer Center National Heart, Lung, and Blood Institute (NHLBI)

Country where clinical trial is conducted

United States, 

References & Publications (20)

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

* Note: There are 20 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary 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 Assess the accuracy of predicting HCT outcomes and resource utilization (e.g., hospitalization) between the three methods of scoring 2 years
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