Evaluation of an estimation of physiologic ability and surgical stress (E-PASS) scoring system to predict postoperative risk: A multicenter prospective study
Y. Haga et al., Evaluation of an estimation of physiologic ability and surgical stress (E-PASS) scoring system to predict postoperative risk: A multicenter prospective study, SURG TODAY, 31(7), 2001, pp. 569-574
We previously reported generating a scoring system termed E-PASS that predi
cted postsurgical risk. This study was undertaken to evaluate the usefulnes
s of this system. A consecutive series of 902 patients who underwent electi
ve gastrointestinal operations in six national hospitals in Japan were pros
pectively assessed for a comprehensive risk score (CRS) of the E-PASS, whic
h was compared with their postoperative course. The postoperative morbidity
rates linearly in creased as the CRS increased. The postoperative mortalit
y rate was only 0.13%, when the CRS was below 0.5; however, it increased to
9.7% when the CRS ranged from 0.5 to <1.0, and to 26.9% when the CRS was g
reater than or equal to1.0. The CRS correlated significantly with the sever
ity of postoperative complications (r(s) = 0.527, P < 0.0001) and the costs
of hospital stay (r(3) = 0.810, P < 0.0001). When the CRS-adjusted mortali
ty rate at the CRS of greater than or equal to0.5 was compared among the ho
spitals, it was related to the hospital volume of operations, being 44.2% a
t the volume of < 100 cases per year, 20.6% at the range of 100-199 cases,
and 8.6% at the volume of greater than or equal to 200 cases. These results
suggest that E-PASS may be useful for predicting postsurgical risk, estima
ting medical expense, and comparing surgical quality.