The importance of HLA matching for cadaver-donor transplants is often
ignored due to the small (10%) difference in graft survival rates betw
een the best and worst matched pairs. A new ''fit and match'' hypothes
is is proposed to improve the predictive value of matching. Graft and
functional survival rates of kidney transplants were calculated for li
ving and cadaver-donors by the standard Kaplan and Meier methods. Mean
discharge serum creatinine (SCr) values were computed after excluding
patients who died or lost their grafts before discharge. Donor size,
recipient size, age of donor kidney, damage caused by cold ischemia ti
me, and mode of donor death all had substantial effects on the average
SCr levels at discharge. These SCr levels correlated with one- and fi
ve-year graft survival rates. Transplants that had extremely different
graft survival rates, such as those from living donors and cadaver do
nors, were found to have similar rates when reclassified by SCr levels
at discharge. By examining the combined effects of the fit and match
factors, transplants with the best fit and match exhibited a 95% one-y
ear graft survival rate, whereas those with the worst fit and match ha
d a 75% survival rate. This 20% difference increased to 36% after five
years (84% vs. 48%). We conclude that the fit and match hypothesis pr
ovides a theoretical basis for devising a more critical method of pred
icting cadaver kidney transplant survival rates. Furthermore, it sugge
sts a vital need to develop methods for estimating functional donor re
nal mass.