Cargando…

The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study

BACKGROUND: Comorbidity increases overall mortality in patients diagnosed with hematological malignancies. The impact of comorbidity on cancer-specific mortality, taking competing risks into account, has not been evaluated. METHODS: Using the Swedish Cancer Register, we identified patients aged >...

Descripción completa

Detalles Bibliográficos
Autores principales: Mohammadi, Mohammad, Cao, Yang, Glimelius, Ingrid, Bottai, Matteo, Eloranta, Sandra, Smedby, Karin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634819/
https://www.ncbi.nlm.nih.gov/pubmed/26537111
http://dx.doi.org/10.1186/s12885-015-1857-x
_version_ 1782399423489245184
author Mohammadi, Mohammad
Cao, Yang
Glimelius, Ingrid
Bottai, Matteo
Eloranta, Sandra
Smedby, Karin E.
author_facet Mohammadi, Mohammad
Cao, Yang
Glimelius, Ingrid
Bottai, Matteo
Eloranta, Sandra
Smedby, Karin E.
author_sort Mohammadi, Mohammad
collection PubMed
description BACKGROUND: Comorbidity increases overall mortality in patients diagnosed with hematological malignancies. The impact of comorbidity on cancer-specific mortality, taking competing risks into account, has not been evaluated. METHODS: Using the Swedish Cancer Register, we identified patients aged >18 years with a first diagnosis of acute myeloid leukemia (AML, N = 2,550), chronic myeloid leukemia (CML, N = 1,000) or myeloma (N = 4,584) 2002–2009. Comorbid disease history was assessed through in- and out-patient care as defined in the Charlson comorbidity index. Mortality rate ratios (MRR) were estimated through 2012 using Poisson regression. Probabilities of cancer-specific death were computed using flexible parametric survival models. RESULTS: Comorbidity was associated with increased all-cause as well as cancer-specific mortality (cancer-specific MRR: AML = 1.27, 95 % CI: 1.15–1.40; CML = 1.28, 0.96–1.70; myeloma = 1.17, 1.08–1.28) compared with patients without comorbidity. Disorders associated with higher cancer-specific mortality were renal disease (in patients with AML, CML and myeloma), cerebrovascular conditions, dementia, psychiatric disease (AML, myeloma), liver and rheumatic disease (AML), cardiovascular and pulmonary disease (myeloma). The difference in the probability of cancer-specific death, comparing patients with and without comorbidity, was largest among AML patients <70 years, whereas in myeloma the difference did not vary by age among the elderly. The probability of cancer-specific death was generally higher than other-cause death even in older age groups, irrespective of comorbidity. CONCLUSION: Comorbidities associated with organ failure or cognitive function are associated with poorer prognosis in several hematological malignancies, likely due to lower treatment tolerability. The results highlight the need for a better balance between treatment toxicity and efficacy in comorbid and elderly AML, CML and myeloma patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1857-x) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4634819
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-46348192015-11-06 The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study Mohammadi, Mohammad Cao, Yang Glimelius, Ingrid Bottai, Matteo Eloranta, Sandra Smedby, Karin E. BMC Cancer Research Article BACKGROUND: Comorbidity increases overall mortality in patients diagnosed with hematological malignancies. The impact of comorbidity on cancer-specific mortality, taking competing risks into account, has not been evaluated. METHODS: Using the Swedish Cancer Register, we identified patients aged >18 years with a first diagnosis of acute myeloid leukemia (AML, N = 2,550), chronic myeloid leukemia (CML, N = 1,000) or myeloma (N = 4,584) 2002–2009. Comorbid disease history was assessed through in- and out-patient care as defined in the Charlson comorbidity index. Mortality rate ratios (MRR) were estimated through 2012 using Poisson regression. Probabilities of cancer-specific death were computed using flexible parametric survival models. RESULTS: Comorbidity was associated with increased all-cause as well as cancer-specific mortality (cancer-specific MRR: AML = 1.27, 95 % CI: 1.15–1.40; CML = 1.28, 0.96–1.70; myeloma = 1.17, 1.08–1.28) compared with patients without comorbidity. Disorders associated with higher cancer-specific mortality were renal disease (in patients with AML, CML and myeloma), cerebrovascular conditions, dementia, psychiatric disease (AML, myeloma), liver and rheumatic disease (AML), cardiovascular and pulmonary disease (myeloma). The difference in the probability of cancer-specific death, comparing patients with and without comorbidity, was largest among AML patients <70 years, whereas in myeloma the difference did not vary by age among the elderly. The probability of cancer-specific death was generally higher than other-cause death even in older age groups, irrespective of comorbidity. CONCLUSION: Comorbidities associated with organ failure or cognitive function are associated with poorer prognosis in several hematological malignancies, likely due to lower treatment tolerability. The results highlight the need for a better balance between treatment toxicity and efficacy in comorbid and elderly AML, CML and myeloma patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12885-015-1857-x) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-05 /pmc/articles/PMC4634819/ /pubmed/26537111 http://dx.doi.org/10.1186/s12885-015-1857-x Text en © Mohammadi et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mohammadi, Mohammad
Cao, Yang
Glimelius, Ingrid
Bottai, Matteo
Eloranta, Sandra
Smedby, Karin E.
The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study
title The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study
title_full The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study
title_fullStr The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study
title_full_unstemmed The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study
title_short The impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a Swedish population-based study
title_sort impact of comorbid disease history on all-cause and cancer-specific mortality in myeloid leukemia and myeloma – a swedish population-based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634819/
https://www.ncbi.nlm.nih.gov/pubmed/26537111
http://dx.doi.org/10.1186/s12885-015-1857-x
work_keys_str_mv AT mohammadimohammad theimpactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT caoyang theimpactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT glimeliusingrid theimpactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT bottaimatteo theimpactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT elorantasandra theimpactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT smedbykarine theimpactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT mohammadimohammad impactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT caoyang impactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT glimeliusingrid impactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT bottaimatteo impactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT elorantasandra impactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy
AT smedbykarine impactofcomorbiddiseasehistoryonallcauseandcancerspecificmortalityinmyeloidleukemiaandmyelomaaswedishpopulationbasedstudy