Value of estimation of physiologic ability and surgical stress in prediction of operative risk of hip fracture / 中华创伤杂志

Objective To use estimation of physiologic ability and surgical stress (E-PASS) to assay operative risks in patients with hip fracture and to discuss its application value.Methods Sixtyfour patients with hip fractures were subjected to the retrospective review.There were 38 males and 26 females,at mean age of 54.3 years (range,19-84 years).The operative risk was assayed by E-PASS and postoperative complications as well as case fatality were detected and compared.Results Postoperative complications developed in 16 patients (25％).E-PASS score was significantly higher for the patients with postoperative complications than in those without [(0.64 ± 0.31) points vs (0.22 ± 0.31) points,P ＜ 0.05].Incidence of complications was significantly lower for patients with a E-PASS score ＜ 0.6 than for those with a E-PASS score ＞ 0.6 (19％ vs 50％,P ＜ 0.01).There were 2 deaths among 16 patients with a E-PASS score ＞ 0.6.The remaining 48 patients with a E-PASS score ＜ 0.6 obtained satisfactory recovery.Conclusion E-PASS is effective for predicting operative risk and is instructive for surgery decision in treatment of hip fractures.

Estimation of physiologic ability and surgical stress as a prediction scoring system for colonic surgery / 中华消化外科杂志

Objective To evaluate physiologic ability and surgical stress (E-PASS) for predicting postoperative complications in patients undergoing elective colonic surgery. Methods The clinical data of 158 patients with colonic cancer who were admitted to the West China Hospital from August to October, 2009 were retrospectively analyzed. E-PASS was applied to evaluate the surgical risk. Three indexes of the E-PASS system,including preoperative risk score (PRS), surgical stress score (SSS) and comprehensive risk score (CRS) were compared with actual postoperative outcomes. Correlation between PRS, SSS, CRS and postoperative risks was analyzed using multiple linear regression analysis. Results Of the 158 patients, 27( 17.1% ) had postoperative complications, and the predictive value was 19.4% ± 2.0% according to the E-PASS. Dukes stages, physical performance indexes, severe heart disease, severe pneumonia disease, length of operation time were correlated with the incidence of complications (r = 0. 193, 0. 410, 0. 183, 0. 174, 0. 198, P ＜ 0.05). PRS, CRS and SSS had good predictive effect on postoperative risks (r = 0. 299, 0. 349, 0. 183, P ＜ 0. 05 ). Conclusions E-PASS system is a relatively simple, fast and user friendly tool for predicting the risk of short-term postoperative complications.