Division of Cancer Care and Epidemiology, Queen's Cancer Research Institute, Queen's University, Kingston, Ontario, Canada.
Treatment choice in prostate cancer is influenced by pre-existing comorbid illnesses, but information about their individual prognostic impact is sparse, and only 1 comorbidity index has been developed for this setting. The authors assessed the impact of individual comorbid illnesses on the risk of early, other-cause death in prostate cancer treatment candidates and propose a modification of an existing comorbidity scale.
A population-based case-cohort study included patients diagnosed from 1990 through 1998 in Ontario, Canada who had planned curative radiotherapy or prostatectomy. The subcohort numbered 1643, and the case sample (those dying of other causes within 10 years) numbered 630. Ontario Cancer Registry data were linked to data from medical charts, including: age, comorbidity using the Cumulative Illness Rating Scale for Geriatrics (CIRS-G), stage, prostate-specific antigen, Gleason score, and treatment. Cox proportional hazards regression assessed the age-adjusted association between CIRS-G and other-cause death.
Respiratory and cardiac diseases were the most common comorbidities and most strongly associated with an increased risk of death. Other important comorbidities included vascular disease, renal disease, and diabetes. The modified CIRS-G(pros) score yielded a relative risk (RR) of 1.64 (95% confidence interval [CI], 1.52-1.76) for those scoring 1 compared with 0 and RR 1.18 (95% CI, 1.15-1.21) for each increment above 1. Except for those aged >80 years, results were consistent across treatment type and age group.
This study provides estimates of the role of individual comorbid illnesses in prostate cancer. The modified CIRS-G(pros) could be useful in the clinic and in future research on this patient population.
Written by:
Groome PA, Rohland SL, Siemens DR, Brundage MD, Heaton J, Mackillop WJ. Are you the author?
Reference: Cancer. 2011 Sep 1;117(17):3943-52.
doi: 10.1002/cncr.25984
PubMed Abstract
PMID: 21858801
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