Date: Mon, 20 Aug 2007 16:31:41 -0400 Cornel Lencar "SAS(r) Discussion" Cornel Lencar proportional hazards regression

Hi,

I am running a roportional hazards model on a cohort of ~ 870000 subjects between 45 and 85 years old. I am looking at the risk of having acute coronary outcomes function of sex, age class and presence of comorbidities in the past. The start of follow up is january 1, 1999, and the end of F/U is december 2002. Co-morbidities are acute coronary outcomes, chronic coronary outcomes, chronic heart failure, hypertension, diabetes, all determined on the period 1991, dec 31, 1998.

So far so good. The results considering co-morbidities as 1=Yes, 0=No only, plus age and sex look as expected, with males having higher risk, an increase in risk with age and an increase in risk with the presence of co- morbidities (i.e. HR=3.1 in one example).

However, if I split the subjects with comorbidities in two, (ones that had co-morbidities less than 3 years prior to the outcome of interest in the follow-up period and the ones that had co-morbidities earlier than that - more than 3 years prior to the outcome of interest), I get some inexplicable results: HR=322.7 (co-morbidities < 3 years prior) HR=101.77 (co-morbidities > 3 years prior); all the other covariates (sex, age) being the same.

A cross tabulation between co-morbidities and outcome of interest looks like this:

Co-morbid(0)/ACS(0) = 555468 Co-morbid(1)/ACS(0) = 283577 Co-morbid(0)/ACS(1) = 9597 Co-morbid(1)/ACS(1) = 21425 or if split by time 1484(<3yr) & 19941(>3yr);

What can cause such great hazard ratios?

Sincerely,

Cornel Lencar

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