Experience after 100 patients treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

AIM:To investigate perioperative patient morbidity/mortality and outcome after cytoreductive surgery(CRS) and hyperthermic intraperitoneal chemotherapy(HIPEC).METHODS:Of 150 patients 100 were treated with cytoreductive surgery and HIPEC and retrospectively analyzed.Clinical and postoperative follow-up data were evaluated.Body mass index(BMI),age and peritoneal carcinomatosis index(PCI) were chosen as selection criteria with regard to tumor-free survival and perioperative morbidity for this multimodal therapy.RESULTS:CRS with HIPEC was successfully performed in 100 out of 150 patients.Fifty patients were excluded because of intraoperative contraindication.Median PCI was 17(1-39).In 89% a radical resection(CC0/CC1) was achieved.One patient died postoperatively due to multiorgan failure.Neither PCI,age nor BMI was a risk factor for postoperative complications/outcome according to the DINDO classification.In 9% Re-CRS with HIPEC was performed during the follow-up period.CONCLUSION:Patient selection remains the most important issue.Neither PCI,age nor BMI alone should be an exclusion criterion for this multimodal therapy.

An MA-MRR model for transaction-level analysis of highfrequency trading processes

The transaction-level analysis of security price changes by Madhavan,Richardson,and Roomans(1997,hereafter MRR)is a useful framework for financial analysis.The first-order Markov property of trading indicator variables is a critical assumption in the MRR model,which contradicts the information lag empirically demonstrated in high-frequency trading processes.In this study,a nonparametric test is employed,which shows that the Markov property of the trading indicator variables is rejected on most trading days.Based on the spread decomposed structure,an MA-MRR model was proposed with a moving average structure adopted to absorb the information lag as an extension.The empirical results show that the information lag plays an important role in measuring the adverse selection risk parameter and that the difference in this parameter between the original and the extension is significant.Furthermore,our analysis suggests that the information lag parameter is a useful measure of the average speed at which information is incorporated into prices.