Purpose: We retrospectively analyzed all patients with AIDS-related Ka
posi's sarcoma (AIDS-KS) seen at one large California medical center t
o delineate factors that may have contributed to a relative decline in
survival. Methods: potential prognostic factors were analyzed individ
ually, using the Cox proportional hazards regression model, for their
association with survival. After a stepwise Cox regression procedure w
as applied to those factors that showed a significant effect on surviv
al, a subset of factors that best predicted survival was identified. W
e then quantified the effect of the year of diagnosis on survival usin
g a univariate Cox model. Next, we combined the year of diagnosis with
the subset of prognostic factors previously identified into the Cox m
odel to examine survival after adjustment for the prognostic factors.
Survival distribution was estimated by the Kaplan-Meier method, and th
e 95% confidence interval for the median survival was computed using t
he modified reflected method. Results: In 688 patients, we identified
four baseline variables that best predicted survival: CD4 cell number,
hematocrit, number of KS lesions, and body mass index (BMI). Adjusted
for these predictive factors, there was a significant improvement in
survival for patients with AIDS-KS over the lost 6 years. Conclusion:
Contrary to prior reports, survival has increased for patients with AI
DS-KS. The apparent increase in observed mortality is most likely due
to a decline in the CD4 cell number at presentation. (C) 1994 by Ameri
can Society of Clinical Oncology.