Objectives To evaluate the effect of preoperative body mass index (BMI) on the perioperative and long-term results in esophageal squamous cell cancer patients. Method We retrospectively analyzed the clinical data of 503 patients with esophageal cancer between January 2001 and December 2009. There were 268 males and 235 females with the median age of 57 years ranging from 32-88 years. The associations between preoperative BMI and clinic patholo-gical characteristics were assessed by using the χ2 or Fisher's exact test. Survival analysis was performed by Kaplan-Meier curves with log-rank tests. ResultsThe 1-year, 3-year, 5-year, and 10-year overall survival rate for the entire cohort of patients was 64.0%, 49.0%, 43.0%, and 41.0% respectively. The occurance rates of weight loss, lymph node metastases, and poorly differentiated tumorigenesis represented statistically higher in patients with BMI≤18.5 kg/m2 than those in the patients with BMI>18.5 kg/m2 (P=0.026, P=0.006, P=0.048). For the cohort, the Kaplan-Meier survival analysis showed a significant trend toward a decreased survival in esophageal cancer patients with underweight (P=0.001). No statistical difference in overall complication, anastomotic leakage, and pulmonary complication rate was detected among the different BMI classes(P=0.162, P=0.590, P=0.376). Univariate and multivariate analysis showed that the drinking status, pathological stage, and underweight were the independent prognostic factors. ConclusionsAfter esophagectomy, BMI is not associated with the incidence of postoperative complications in patients. Patients with underweight are usually diagnosed with advanced stage, therefore tend to have poorer survivals than those with normal or over-weight.
In order to achieve the automatic identification of liver cancer cells in the blood, the present study adopted a principal component analysis (PCA) and back propagation (BP) algorithm of feedforward neural networks to identify white blood cells and red blood cells in mice and human liver cancer cells, HepG2. The present paper shows the process in which PCA was carried out after obtaining spectral data by fiber confocal back-scattering spectrograph, selecting the first two principal components as spectral features, and establishing a neural network pattern recognition model with two input layer nodes, eleven hidden layer nodes and three output nodes. In order to verify whether the model would give accurate identification of cells, we chose 195 object data to train the model with 150 sets of data as training set and 45 sets as test set. According to the results, the overall recognition accuracy of the three cells was above 90% with the average relative deviation only 4.36%. The results showed that PCA+BP algorithm could automatically identify liver cancer cells from erythrocyte and white blood cells, which will provide a useful tool for the study of metastasis and biological metabolism characteristics of liver cancer.
ObjectiveTo analyze the factors affecting the prognosis of patients with primary tracheal malignancy, and establish a nomogram model for prediction its prognosis.MethodsA total of 557 patients diagnosed with primary tracheal malignancy from 1975 to 2016 in the Surveillance, Epidemiology, and End Results Data were collected. The factors affecting the overall survival rate of primary tracheal malignancy were screened and modeled by univariate and multivariate Cox regression analysis. The nomogram prediction model was performed by R 3.6.2 software. Using the C-index, calibration curves and receiver operating characteristic (ROC) curve to evaluate the consistency and predictive ability of the nomogram prediction model.ResultsThe median survival time of 557 patients with primary tracheal malignancy was 21 months, and overall survival rates of the 1-year, 3-year and 5-year were 59.1%±2.1%, 42.5%±2.1%, and 35.4%±2.2%. Univariate and multivariate Cox regression analysis showed that age, histology, surgery, radiotherapy, tumor size, tumor extension and the range of lymph node involvement were independent risk factors affecting the prognosis of patients with primary tracheal malignancy (P<0.05). Based on the above 7 risk factors to establish the nomogram prediction model, the C-index was 0.775 (95%CI 0.751-0.799). The calibration curve showed that the prediction model established in this study had a good agreement with the actual survival rate of the 1 year, 3 year and 5 years. The area under curve of 1-year, 3-year and 5-year predicting overall survival rates was 0.837, 0.827 and 0.836, which showed that the model had a high predictive power.ConclusionThe nomogram prediction model established in this study has a good predictive ability, high discrimination and accuracy, and high clinical value. It is useful for the screening of high-risk groups and the formulation of personalized diagnosis and treatment plans, and can be used as an evaluation tool for prognostic monitoring of patients with primary tracheal malignancy.
Objective To summarize the effectiveness of Nuss procedure by thoracoscopy for correction of pectus excavatum. Methods Between September 2009 and January 2012, 33 patients suffering from pectus excavatum underwent Nuss procedure by thoracoscopy. There were 26 males and 7 females, aged from 3 to 22 years (median, 9 years). There was primary operation in 32 cases and reoperation in 1 case after Ravitch procedure. Twenty-four patients had obvious clinical symptoms. The Haller index ranged from 3.3 to 50.1 (mean, 5.6). According to simplified Park classification, 25 cases were classified as symmetric type, 5 as eccentric type, and 3 as unbalanced type. Results Intercostal muscle tear occurred in 1 case during operation; pleural effusion, pulmonary infection, and thoracic vertebral pain occurred in 1 case, respectively after operation. The operation time ranged from 38 to 89 minutes (mean, 60.9 minutes). The intraoperative blood loss was 8-90 mL (mean, 26.2 mL). The postoperative hospitalization days were 6-12 days (mean, 7.6 days). All patients were followed up 12-39 months (mean, 25.6 months). Electrocardiogram and chest X-ray film showed that cardiac compression was improved, and symptoms alleviated. At the last follow-up, according to the Nuss standard, the results were excellent in 27 cases, good in 3 cases, and fair in 3 cases, with an excellent and good rate of 90.9%. There was no significant difference in results of effectiveness evaluation among less than 6 years, 6-12 years, and more than 12 years groups (Z= — 1.751, P=0.109). Conclusion Nuss procedure by thoracoscopy has the advantages of little trauma, simple operation, and fast recovery, so it can obtain satisfactory correction of pectus excavatum.
Objective We modeled superior vena cava (SVC) occlusion in rabbits to observe the effect of different blocking time on brains. Method Forty rabbits were randomly divided into four groups. Group Ⅰ was set as a control group (n=10). Group Ⅱ was set as a 30 minutes SVC blocking time group (n=10). Group Ⅲ was set as a 60 minutes SVC blocking time group (n=10). And group Ⅳ was set as a 90 minutes SVC blocking time group (n=10). We detected the patho- logical and physiological changes in the course of the experiment. After the intervention, malondialdehyde (MDA) and superoxide dismutase (SOD) of brain tissue homogenate in each group were detected. Brain sections were stained with hematoxylin-eosin (HE). And we observed the edema and damage of brain tissue under the microscope. Results There was no obvious change on the content of MDA and SOD within 30 minutes interruption (P>0.05). When the blocking time was longer than 60 minutes, the content of MDA increased significantly (P<0.05) and the SOD decreased significantly (P<0.05). Compared to the group Ⅰ and the group Ⅱ, the brain water content in the group Ⅲ and the group Ⅳ with a interruption time above 60 minutes increased significantly. And under the microscope, the cell edema and damage induced by ischemia and hypoxia increased significantly. Conclusion The blocking time of SVC within 30 minutes is relatively safe. But there would be significant brain edema and neurocyte degeneration when the blocking time is more than 60 minutes.
Objective To systematically evaluate the benefits and safety of anti-PD-1/PD-L1 antibody in the treatment of advanced non-small cell lung cancer (NSCLC). Methods Randomized controlled trials (RCTs) about anti-PD-1/PD-L1 antibody versus conventional-dose chemotherapy in the treatment of advanced NSCLC were searched in PubMed, EMbase, The Cochrane Library (Issue 8, 2016), Web of Science, CBM, CNKI, and VIP databases from inception to September 2016. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of eligible studies, then meta-analysis was conducted by using RevMan 5.3 software. Results A total of five RCTs involving 2 580 patients were included. The results of meta-analysis showed that: the objective response rate (ORR) and one year overall survival rate (OSR1y) in anti PD-1/PD-L1 monoclonal antibody group were higher than that of the conventional chemotherapy group (RR=1.86, 95%CI 1.37 to 2.52,P<0.001; RR=1.37, 95%CI 1.23 to 1.52,P<0.001, respectively). However, there were no significant differences between two groups in one-year progression-free survival rate (PFSR1y) (RR=1.85, 95%CI 0.61 to 5.59,P=0.28) and disease control rate (DCR) (RR=1.13, 95%CI 0.76 to 1.68,P=0.55). With regard to untoward effect, rate of adverse effects (AEs) and AEs of 3-5 grade in anti PD-1/PD-L1 monoclonal antibody group were higher than those of the conventional chemotherapy group (RR=0.85, 95%CI 0.76 to 0.95,P=0.004; RR=0.28, 95%CI 0.18 to 0.43,P<0.001), the difference was statistically significant. But there was no significant difference in AEs to discontinuation between the two groups (RR=0.60, 95%CI 0.26 to 1.39,P=0.23). Conclusion Compared with conventional-dose chemotherapy, anti-PD-1/PD-L1 antibody has considerable current effect and safety in the treatment of advanced NSCLC.
Objective To introduce a simple preoperative risk score for esophageal cancer (PRSEC) and its relationship with the prognosis of patients who underwent resection of esophageal carcinoma. Methods We retrospectively analyzed the clinical data of 498 patients receiving resection of esophageal carcinoma between 2005 and 2015 in our hospital. They were divided into three groups (PRSEC1, PRSEC2 and PRSEC3 groups) according to the results of PRSEC (revised cardiac risk index, model for end-stage liver disease score and pulmonary function test). Their overall survival (OS) and disease-free survival (DFS) were measured to find the relationship between the PRSEC and prognosis of patients. Results The mortality, morbidity, DFS and OS were correlative with the PRSEC. Therefore the PRSEC can be used to predict the short-term outcome. The patients with score 2 or 3 had higher risk of mortality and morbidity than those with score 1. In addition, the DFS and OS of patients with higher score were shorter (P<0.001). Conclusion The PRSEC is easy and efficient and can predict the morbidity, mortality, and long-term outcomes for the patients with resection of esophageal carcinoma.