Background:The TNM staging system is far from perfect in predicting the survival of individual cancer patients because only the gross anatomy is considered. The survival rates of the patients who have the same TNM stage disease vary across a wide spectrum. This study aimed to develop a nomogram that incorporates other clinicopatho-logic factors for predicting the overall survival (OS) of non-metastatic nasopharyngeal carcinoma (NPC) patients after curative treatments. Methods:We retrospectively collected the clinical data of 1520 NPC patients who were diagnosed histologically between November 2000 and September 2003. The clinical data of a separate cohort of 464 patients who received intensity-modulated radiation therapy (IMRT) between 2001 and 2010 were also retrieved to examine the extensibil-ity of the model. Cox regression analysis was used to identify the prognostic factors for building the nomogram. The predictive accuracy and discriminative ability were measured using the concordance index (c-index). Results:We identiifed and incorporated 12 independent clinical factors into the nomogram. The calibration curves showed that the prediction of OS was in good agreement with the actual observation in the internal validation set and IMRT cohort. The c-index of the nomogram was statistically higher than that of the 7th edition TNM staging sys-tem for predicting the survival in both the primary cohort (0.69 vs. 0.62) and the IMRT cohort (0.67 vs. 0.63). Conclusion:We developed and validated a novel nomogram that outperformed the TNM staging system in predict-ing the OS of non-metastatic NPC patients who underwent curative therapy.

Postoperative complications of gastrointestinal surgery have become an important indicator for evaluating surgical safety in the process of the domestic and foreign clinical research and practice.The clinical economics evaluation of the complications provides an important reference in the clinical decision-making process,in addition to the mechanism investigation.It reveals that higher cost-effectiveness can be obtained through optimizing complication diagnosis and registration process from a national macroscopic level,while it also uncovers the targets of the yet-to-be improved clinical decision making process in the microscopic analysis.Through clinical economics evaluation,the necessity and feasibility of interventions targeting the complications can be better understood the clinical practice,which would eventually optimize clinical strategies and proper use of the limited health resources.

The postoperative complications in patients with gastric or colorectal cancer has been common but seriously affecting patients' recovery and even their life safety.According to the database of China Gastrointestinal Cancer Surgery Union,abdominal infectious complications are the main causes of secondary surgery and postoperative death,which deserve clinical attention.However,the incidence rate of postoperative abdominal infection varies widely from center to center.Due to the lack of nationwide data,it is unable to determine the incidence of abdominal infectious complications reasonably and formulate the corresponding strategies of evidence-based diagnosis and treatment.Therefore,this multi-center prospective cohort study,i.e.prediction of abdominal complication after gastroenterological surgery (PACAGE),aims to investigate the incidence,classification and outcomes of postoperative abdominal infection in patients with gastric or colorectal cancer,to implement the standardization of the complication registration,and to provide necessary data for improving surgical safety,preventing abdominal infection and decreasing the rate of postoperative complications in the future.

Objective: To investigate the pathogen spectrum distribution and drug resistance of febrile neutropenic patients with hematological diseases in Shanghai. Methods: A retrospective study was conducted on the clinical isolates from the febrile neutropenic patients hospitalized in the departments of hematology in 12 general hospitals in Shanghai from January 2012 to December 2014. The drug susceptibility test was carried out by Kirby-Bauer method. WHONET 5.6 software was used to analyze pathogenic bacteria and drug susceptibility data. Results: A total of 1 260 clinical isolates were collected from the febrile neutropenic patients. Gram-positive bacteria accounted for 33.3% and Gram-negative bacteria accounted for 66.7%. Klebsiella pneumoniae (12.5%) , Stenotrophomonas maltophilia (9.5%) , Escherichia coli (9.1%) , Pseudomonas aeruginosa (8.7%) , Acinetobacter baumannii (6.6%) , Staphylococcus aureus (5.6%) and Enterococcus faecium (5.0%) were ranked in the first 7 of all pathogens. In the respiratory tract secretions specimens, non-fermented strains accounted for 56.2%. Stenotrophomonas maltophilia accounted for 15.2%. Enterobacteriaceae and coagulase-negative Staphylococci accounted for 42.3% (104/246) and 32.6% (85/246) respectively in blood samples. Enterobacteriaceae and Enterococcus bacteria accounted for 39.4% (76/193) and 28.5% (55/193) respectively in pus specimens. The detection rates of methicillin resistant Staphylococcus aureus (MRSA) and methicillin resistant coagulase negative Staphylococci (MRCNS) were 54.3% and 82.5%, respectively. Staphylococcus bacterial strain was not found to be resistant to linezolid, vancomycin and teicoplanin. The detection rate of Enterococcus vancomycin-resistant strains was 8.9%. Enterococcus was not detected resistance to oxazolidinone strains. Enterobacteriaceae bacteria were highly sensitive to carbapenems. The resistance rate of Pseudomonas aeruginosa to imipenem and meropenem was 34.1% and 15.8%, respectively. Stenotrophomonas maltophilia was more sensitive to minocycline hydrochloride, levofloxacin and sulfamethoxazole. The resistance rate of Acinetobacter baumannii only to cefoperazone-sulbactam was less than 10.0%. The antibiotic resistance rate of Klebsiella pneumoniae, Stenotrophomonas maltophilia, Pseudomonas aeruginosa and Acinetobacter baumanii to most of common antibiotics was lower than that of the CHINET surveillance. Conclusions The pathogenic strain distribution in common infection sites of febrile neutropenic patients was characterized. Bacterial resistance surveillance was better than the CHINET nationwide large sample surveillance in China.