Re. Benton et al., PREDICTORS OF CORONARY ANGIOGRAPHY IN PATIENTS WITH IDIOPATHIC DILATED CARDIOMYOPATHY - THE WASHINGTON, DC DILATED CARDIOMYOPATHY STUDY, Journal of clinical epidemiology, 47(5), 1994, pp. 501-511
Citations number
30
Categorie Soggetti
Public, Environmental & Occupation Heath","Medicine, General & Internal
Although a number of clinical and demographic factors have been associ
ated with the performance of angiography in cardiac patients, clinical
studies of idiopathic dilated cardiomyopathy (DCM) have often exclude
d patients who have not undergone coronary angiography to rule out cor
onary artery disease (CAD). To examine the impact of this diagnostic c
riterion on population-based studies of idiopathic DCM, we examined ch
aracteristics of probable cases of DCM who did or did not have a recor
ded history of angiography. The cases (n = 129) were ascertained from
five medical centers in the Washington, DC metropolitan area over the
period 1 July 1990 through 29 February 1992. All of these cases had ev
idence of ventricular dilation and hypokinesis, with a left ventricula
r ejection fraction of less than 40%. Cases with a history of known CA
D, congenital heart disease, valvular heart disease, or secondary card
iomyopathy were excluded. Sixty-two (48%) of the cases had a recorded
history of angiography. Age, educational level, diabetes, alcohol use,
insurance status, and type of hospital were significantly associated
with angiography in bivariate analysis (p < 0.05). Diabetes and hypert
ension were inversely associated with history of angiography among bla
ck cases, and positively associated with angiography among whites. In
logistic regression analysis, age was the strongest independent predic
tor of angiography (p < 0.025). The associations with educational atta
inment and alcohol use were of borderline significance (p < 0.10). Thu
s, in epidemiologic studies of idiopathic DCM, particularly in biracia
l populations, the exclusion of cases who have not undergone angiograp
hy may bias risk estimates and result in the underestimation of incide
nce and prevalence.