Cj. Newschaffer et al., DOES COMORBID DISEASE INTERACT WITH CANCER - AN EPIDEMIOLOGIC ANALYSIS OF MORTALITY IN A COHORT OF ELDERLY BREAST-CANCER PATIENTS, The journals of gerontology. Series A, Biological sciences and medical sciences, 53(5), 1998, pp. 372-378
Background. Although widely believed that co-occuring chronic diseases
in elderly persons do not act independently in causing death, there h
as been little empirical research assessing prognostic interrelationsh
ips between comorbidities. Methods. Nonconcurrent prospective follow-u
p of 3,549 Virginia-resident elderly women diagnosed with a first brea
st cancer and 2,114 elderly women with no breast cancer history admitt
ed to Virginia hospitals with principal diagnoses of genital prolapse
during 1986-1988 was conducted through linkage of cancer registry and
Medicare administrative records. Aggregate comorbidity was measured fr
om Medicare claims via the Charlson comorbidity index (CCI). Mortality
rates and relative risks were estimated for the breast cancer and non
-breast-cancer groups stratified by the presence and level of comorbid
ity. Proportional hazards models were used to estimate Rothman's syner
gy index (S) measure of additive interaction; Results. Over full follo
w-up, the excess mortality rate for women with breast cancer and other
comorbidity was 17% greater than expected under the null hypothesis t
hat risks were additive and independent (S = 1.17, p = .17). Stratifie
d analyses revealed a pattern of S estimates across cancer stags subgr
oups that was biologically sensible, but this pattern was not supporte
d by strong statistical evidence. Conclusions. This study provides the
first empirical estimates of statistical interaction between breast c
ancer and other chronic comorbidity. S index values tended to be small
, but these small effects would translate into substantial numbers of
deaths attributable to interaction between cancer and comorbidity. Int
eractions between breast cancer and comorbid disease should be explore
d further in large studies that can estimate these effects with increa
sed precision.