Establishment of artificial neural network model for predicting lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer / 中华胃肠外科杂志

Objective: To establish a neural network model for predicting lymph node metastasis in patients with stage II-III gastric cancer. Methods: Case inclusion criteria: (1) gastric adenocarcinoma diagnosed by pathology as stage II-III (the 8th edition of AJCC staging); (2) no distant metastasis of liver, lung and abdominal cavity in preoperative chest film, abdominal ultrasound and upper abdominal CT; (3) undergoing R0 resection. Case exclusion criteria: (1) receiving preoperative neoadjuvant chemotherapy or radiotherapy; (2) incomplete clinical data; (3) gastric stump cancer.Clinicopathological data of 1231 patients with stage II-III gastric cancer who underwent radical surgery at the Fujian Medical University Union Hospital from January 2010 to August 2014 were retrospectively analyzed. A total of 1035 patients with lymph node metastasis were confirmed after operation, and 196 patients had no lymph node metastasis. According to the postoperative pathologic staging. 416 patients (33.8%) were stage Ⅱ and 815 patients (66.2%) were stage III. Patients were randomly divided into training group (861/1231, 69.9%) and validation group (370/1231, 30.1%) to establish an artificial neural network model (N+-ANN) for the prediction of lymph node metastasis. Firstly, the Logistic univariate analysis method was used to retrospectively analyze the case samples of the training group, screen the variables affecting lymph node metastasis, determine the variable items of the input point of the artificial neural network, and then the multi-layer perceptron (MLP) to train N+-ANN. The input layer of N+-ANN was composed of the variables screened by Logistic univariate analysis. Artificial intelligence analyzed the status of lymph node metastasis according to the input data and compared it with the real value. The accuracy of the model was evaluated by drawing the receiver operating characteristic (ROC) curve and obtaining the area under the curve (AUC). The ability of N+-ANN was evaluated by sensitivity, specificity, positive predictive values, negative predictive values, and AUC values. Results: There were no significant differences in baseline data between the training group and validation group (all P>0.05). Univariate analysis of the training group showed that preoperative platelet to lymphocyte ratio (PLR), preoperative systemic immune inflammation index (SII), tumor size, clinical N (cN) stage were closely related to postoperative lymph node metastasis. The N+-ANN was constructed based on the above variables as the input layer variables. In the training group, the accuracy of N+-ANN for predicting postoperative lymph node metastasis was 88.4% (761/861), the sensitivity was 98.9% (717/725), the specificity was 32.4% (44/136), the positive predictive value was 88.6% (717/809), the negative predictive value was 84.6% (44/52), and the AUC value was 0.748 (95%CI: 0.717-0.776). In the validation group, N+-ANN had a prediction accuracy of 88.4% (327/370) with a sensitivity of 99.7% (309/310), specificity of 30.0% (18/60), positive predictive value of 88.0% (309/351), negative predictive value of 94.7% (18/19), and an AUC of 0.717 (95%CI:0.668-0.763). According to the individualized lymph node metastasis probability output by N+-ANN, the cut-off values of 0-50%, >50%-75%, >75%-90% and >90%-100% were applied and patients were divided into N0 group, N1 group, N2 group and N3 group. The overall prediction accuracy of N+-ANN for pN staging in the training group and the validation group was 53.7% and 54.1% respectively, while the overall prediction accuracy of cN staging for pN staging in the training group and the validation group was 30.1% and 33.2% respectively, indicating that N+-ANN had a better prediction than cN stage. Conclusions: The N+-ANN constructed in this study can accurately predict postoperative lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer. The N+-ANN based on individualized lymph node metastasis probability has better accurate prediction for pN staging as compared to cN staging.

Prescribing Pattern of Benzodiazepine Receptor Agonists (BZRA) and Factors Associated With Duration of BZRA Use in a Malaysian Psychiatry Outpatient Clinic

@#Introduction: Benzodiazepine receptor agonist (BZRA) are among the most frequently used psychotropic medications worldwide. We aim to understand the pattern of prescription of BZRA in the government healthcare facilities and identify factors affecting the likelihood of BZRA prescription and duration of use. Method: This is a retrospective study. Data was obtained from record of outpatient clinical notes. Medications studied were midazolam, alprazolam, lorazepam, bromazepam, clonazepam, diazepam and zolpidem. Mean duration per prescription, mean dosage per prescription and duration per patient per year were calculated for each sedative hypnotic. The likelihood of factors affecting duration of prescription were also analysed. Results: The prevalence of sedative hypnotic use in psychiatry outpatient clinic was 12.16%. Clonazepam was found to have the longest duration per patient per year (306.5 days). Insomnia and anxiety are the two most common reasons for sedative hypnotic prescription. Factors found to affect duration of prescription were unemployment, borderline personality disorder, alcohol and substance use disorders. Conclusion: Implementation of effective monitoring system on sedative hypnotic prescribing and increase use of non-pharmacological interventions for insomnia and anxiety are necessary to curb prolonged use of sedative hypnotic.

Clinicopathological characteristics and lymph node metastasis in patients with early gastric cancer / 中华普通外科杂志

Objective:To explore the risk factors of lymph node metastasis (LNM) in early gastric cancer (ECG), and establish a risk-prediction model based on LNM.Method:Four hundred and twenty-seven EGC patients undergoing curative radical gastrectomy were enrolled in this study. The risk factors for LNM of ECG were analyzed with Logistic regression. LNM risk was stratified and risk-predicting model was established. The risk-predicting model was measured by area under ROC curve. According to the same standard, clinical data of 133 patients with EGC who underwent radical surgery were selected for external verification of the model.Results:The frequency of LNM was 13.3% (32/427) in EGC patients. The LNM ratio of intramucosal carcinoma and submucosal carcinoma was 1.3% (3/237), 15.3% (29/190) respectively. Ulcer presence, tumor size >2 cm, undifferentiated tumor, submucosal invasion, neural invasion, and vascular tumor thrombus were significantly associated with LNM in EGC patients ( χ2=3.408, 16.379, 4.808, 29.804, 25.305, 47.120, respectively P<0.05). Multivariate analysis suggested that ulcer presence, tumor size >2 cm, depth of invasion, neural invasion, and vascular tumor thrombus were independent predictors of LNM in EGC patients, ( OR=0.326, 2.924, 11.824, 13.047, 7.756, respectively P<0.05). LNM predicting model is established, P=e

Establishment of a nomogram model predicting risk factors of postoperative complications after radical gastrectomy for gastric cancer / 上海交通大学学报（医学版）

Objective: To explore the risk factors of postoperative complications after radical gastrectomy + D2 lymphadenectomy and establish a predictive nomogram model. Methods: From July 2016 to June 2019, 1 705 patients who received radical gastrectomy + D2 lymphadenectomy in the Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine were collected. According to Clavien-Dindo grading system, the postoperative complications were graded, and the risk factors of postoperative complications ≥grade Ⅱ were analyzed by χ2 test. Multivariate Logistic regression was used to analyze the independent risk factors of postoperative complications ≥grade Ⅱ. According to the selected independent risk factors, the nomogram model was established. For verification, above patients were used as the training set, and 612 patients undergoing the same operation in this department from July to December 2019 were used as the validation set. Results: A total of 416 (24.4%) gastric cancer patients had postoperative complications. Multivariate Logistic regression analysis showed that male (OR=1.507, P=0.002), age ≥60 years old (OR=1.962, P=0.001), maximum diameter of tumor ≥5 cm (OR=1.456, P=0.002) and total gastrectomy (OR=1.313, P=0.026) were independent risk factors for postoperative complications ≥ grade Ⅱ. Based on these independent risk factors, the nomogram was established and presented good discrimination and predictive consistency in training set and validation set. Conclusion: The nomogram based on these four independent risk factors has a good predictive performance in predicting postoperative complications after radical gastrectomy for gastric cancer, and has a certain clinical application and reference value.

Hyperuricemia as an Early Marker in Predicting the Mortality and Morbidity in Patients with Sepsis

Introduction: Serum uric acid can be used as a marker ofoxidative stress, and poor prognosis in patients with sepsis,since high levels of oxy radicals, lower oxidant level in sepsispatients result in multi organ failure. Raised uric acid isassociated with chronic diseases and is used as a prognosticindicator of severe infection as it acutely activates varioustranscription factors. Aim: This study aims to understandthe correlation between hyperuricemia and the mortality andmorbidity rate in patients with clinically suspected sepsis(based on Qsofa Criteria - Quick sepsis related organ failure).The secondary end points of the study are to understandcorrelation between hyperuricemia in clinically suspectedsepsis patients and Acute kidney injury, acute respiratorydistress syndrome, and duration of stay in the hospital.Material and methods: We conducted a prospective cohortstudy in clinically suspected sepsis patients {based on theQsofa Criteria} between September2017-2018 in a tertiarycare center in AJ Institute Of Medical Sciences in South India.Patients or their medical power of attorneys provided writteninformed consent. A total no of 60 patients were enrolled basedon the inclusion criteria, clinically suspected sepsis patientsaged more than 18 years. All pregnant female, patients fromoutside facility admitted in the medical intensive care unit formore than 24 hours were excluded. For the purpose of ourstudy we defined hyperuricemia as greater than or equal to7 mg/ dl in both males and females. Patients were divided intwo groups based on the uric acid levels. The first group hadclinically suspected sepsis patients with uric acid levels morethan 7 and the second group had clinically suspected sepsispatients with uric acid level less than 7.Results: More than half of the patients, 55%, with high uricacid were found to be males. The overall mortality rate inpatients with high uric acid levels was found to be 90%. Theprobability of having hyperuricemia with acute kidney injurywas around 92.9%.Conclusion: Hyperuricemia was associated with poorprognosis in clinically suspected sepsis patients

Semi-quantitative strain elastography may facilitate pre-surgical prediction of mandibular lymph nodes malignancy in dogs

Evaluation of mandibular lymph nodes in a patient with head and neck cancer is important for stage determination and prognosis development, and, in human medicine, the use of sonoelastography for differentiating between non-metastatic and metastatic lymph nodes has been reported. Our prospective, cross-sectional study aimed to evaluate the diagnostic performance of strain elastography and to determine elastographic cut-off values for predicting malignancy. Sixty-six mandibular lymph nodes were included (clinical healthy, n = 45; non-metastatic, n = 8; and metastatic, n = 13). Elastographic images were evaluated qualitatively (elastographic pattern) and semi-quantitatively (mean hue histogram and stiffness area ratios). Elastographic patterns were classified as grades 1 to 4, according to the percentage of high elasticity determined by visualization. The mean hue histogram was defined based on as the mean pixel color values within the lymph node. Stiffness area ratios were determined by computer program analysis of the stiff area. Among the criteria, receiver operating characteristic curve analyses revealed cut-off values for the prediction of malignancy of 92.26 for mean hue histogram (sensitivity: 100%, specificity: 92%), and 0.17 for stiffness area ratios (sensitivity: 86%, specificity of 100%). Reproducibility and repeatability were excellent. In conclusion, semi-quantitative evaluation via strain elastography holds potential for predicting lymph node malignancy.

Establishment of a visualized of prediction model for postpyloric placement of spiral nasoenteral feeding tube in neurocritical care patients / 中国实用内科杂志

OBJECTIVE: To analyze the factors influencing postpyloric placement of spiral nasoenteral feeding tube(NET) in neurocritical care patients and establish a visualized prediction model. METHODS: Patients in Neurological Intensive Care Unit(NICU)who undertook postpyloric placement of NET after receiving prokinetics from Apr 2012 to Mar 2018 were included for retrospective analysis. The patients were divided into the success and failure group base on whether the tube tip entered into duodenum(or beyond)or not confirmed by bedside X-ray 24 hours later. The baseline data, APACHE Ⅱ score(acute physiology and chronic health evaluation Ⅱ), AGI grade(acute gastrointestinal injury), therapeutic measures and agents administered were recorded. Univariate and multivariate Logistic regression analysis was used to identify the potential factors affecting the postpyloric placement of NET. Based on those factors, a predicting model was established and visualized into an easy-to-use nomogram. RESULTS: A total of 241 patients including146 male and 95 female were enrolled for the study, with an median age of 58 years, median APACHEⅡscore of 20, median AGI of Ⅰ.The placement succeeded in 119(49.4%) of 241 patients. Logistic regression analysis demonstrated that APACHE Ⅱ score, sedatives and analgesics, vasopressors and AGI grade were among the influencing factors. A prediction model with a ROC-AUC of 0.8002 were established and visualized into a nomogram. CONCLUSION: APACHE Ⅱ score, sedatives and analgesics, vasopressors and AGI grade are the factors influencing success of postpyloric NET placement in neurocritical care patients, which incorporate a predicting model that can be visualized into a nomogram. The nomogram provided intensivists an easy-to-use decision support tool in NET placements.

Cut-off Value for Body Mass Index in Predicting Surgical Success in Patients with Lumbar Spinal Canal Stenosis

STUDY DESIGN: Case-control. PURPOSE: To determine optimal cut-off value for body mass index (BMI) in predicting surgical success in patients with lumbar spinal canal stenosis (LSCS). OVERVIEW OF LITERATURE: BMI is an essential variable in the assessment of patients with LSCS. METHODS: We conducted a prospective study with obese and non-obese LSCS surgical patients and analyzed data on age, sex, duration of symptoms, walking distance, morphologic grade of stenosis, BMI, postoperative complications, and functional disability. Obesity was defined as BMI of ≥30 kg/m². Patients completed the Oswestry Disability Index (ODI) questionnaire before surgery and 2 years after surgery. Surgical success was defined as ≥30% improvement from the baseline ODI score. Receiver operating characteristic (ROC) analysis was used to estimate the optimal cut-off values of BMI to predict surgical success. In addition, correlation was assessed between BMI and stenosis grade based on morphology as defined by Schizas and colleague in total, 189 patients were eligible to enter the study. RESULTS: Mean age of patients was 61.5±9.6 years. Mean follow-up was 36±12 months. Most patients (88.4%) were classified with grades C (severe stenosis) and D (extreme stenosis). Post-surgical success was 85.7% at the 2-year follow-up. A weak correlation was observed between morphologic grade of stenosis and BMI. Rates of postoperative complications were similar between patients who were obese and those who were non-obese. Both cohorts had similar degree of improvement in the ODI at the 2-year follow-up. However, patients who were non-obese presented significantly higher surgical success than those who were obese. In ROC curve analysis, a cut-off value of ≤29.1 kg/m² for BMI in patients with LSCS was suggestive of surgical success, with 81.1% sensitivity and 82.2% specificity (area under the curve, 0.857; 95% confidence interval, 0.788–0.927). CONCLUSION: This study showed that the BMI can be considered a parameter for predicting surgical success in patients with LSCS and can be useful in clinical practice.

Factores predictivos histológicos e inmunohistoquimícos de metástasis en ganglio no centinela en pacientes con cáncer de mama y ganglio centinela positivo / Histological and histochemical predicting factors of increased risk of metastatic compromise of non sentinel nodes, in patients with positive sentinel node biopsy

Introducción La biopsia del ganglio centinela (bgc) permite estadificar la axila en pacientes con cáncer de mama (cm) y axila clínicamente negativa. Mediante este procedimiento, se evita la linfadenectomía axilar en una proporción de pacientes. Sin embargo, frente a la positividad del ganglio centinela, una vez completada la linfadenectomía, un subgrupo de pacientes no tienen enfermedad residual en el resto de los ganglios axilares, definidos como ganglios no centinela. Objetivo Analizar los factores de predicción histológicos e inmunohistoquímicos de compromiso en ganglios no centinelas (gnc) en aquellas pacientes con bgc positiva seguida de linfadenectomía axilar, operadas por el Servicio de Patología Mamaria del Hospital Fernández en el período que transcurre entre enero de 1998 y marzo de 2016. Material y método Se realizaron 712 bgc entre los meses de enero de 1998 y marzo de 2016, en el Servicio de Patología Mamaria del Hospital Fernández. Del total, 140 resultaron positivas. Se analizó retrospectivamente la vinculación entre diversas características y la existencia de enfermedad axilar en gnc en 119 casos. Resultados Cuando la bgc resultó positiva, se encontró enfermedad en gnc en el 53,8% de los casos. El análisis univariable demostró correlación estadísticamente significativa entre presencia de metástasis en gnc y la presencia de 2 o más gc positivos, el tamaño tumoral mayor a 2 cm, el compromiso por macrometástasis del gc, la presencia del receptor her2 en el tumor y el alto grado mitótico y el compromiso de la cápsula ganglionar. Conclusiones Los factores independientes de compromiso de gnc son los siguientes: el alto grado mitótico, la presencia del receptor her2, la existencia de 2 o más gc positivos, el compromiso de la cápsula ganglionar.

Introduction The sentinel node biopsy can stage breast cancer patients with negative axillary lymph node examination. Using this procedure it is possible to avoid axillary lymph node dissection in some patients. However, when sentinel node biopsy results positive, once achieved the axillary node dissection, some patients do not have residual disease in the non sentinel nodes. Objective To study histological and histochemical predicting factors of increased risk of metastatic compromise of non sentinel nodes, in patients with positive sentinel node biopsy and subsequent axillary lymph node dissection, treated in the Breast Disease Division of Hospital Fernandez between January 1998 and March 2016. Materials and method Between January 1998 and March 2016, 712 patients underwent to node sentinel biopsy in the Breast Disease Division of Hospital Fernández. This study assessed, in a retrospective way, the association between the histological and histochemical predicting factors and non sentinel node disease in 119 cases. Results When sentinel node biopsy was positive, there was non sentinel lymph node metastasis in 53,8% of cases. The following variables were found to be potentially associated with non-sentinel node metastases in the univariated analysis: number of positive sentinel lymph node, size of the tumor, size of the metastasis in the sentinel lymph node, presence of her2 receptor in the tumor, high mitotic rate and extracapsular perinodal spread. Conclusions Independent factors for involvement of non sentinel nodes are: the high mitotic rate, the presence of her2 receptor in the tumor, the number of positive sentinel lymph nodes and the extracapsular perinodal spread.

Comparison of risk models in predicting intracranial hemorrhage and poor outcomes in acute anterior circulation ischemic stroke after mechanical thrombectomy / 中国脑血管病杂志

Objective To compare the efficacies of 4 risk models (THRIVE[Totaled Health Risks in Vascular Events],MSS[Multicenter Stroke Survey],HIAT[Houston Intra-Arterial Therapy],and GRASPS[Glucose at presentation,Race,Age,Sex,Systolic blood pressure,Severity of stroke at presentation]) in predicting intracranial hemorrhage and poor outcomes in acute anterior circulation ischemic stroke after mechanical thrombectomy.Methods From May 2013 to March 2016,153 consecutive patients with acute anterior circulation vascular occlusion conducted mechanical thrombectomy within 6 hours after onset and admitted to the Departments of Neurology,Jinling Hospital,Nanjing University School of Medicine and Zhongshan Hospital,Xiamen University were enrolled prospectively.Logistic regression analysis and the area under the receiver operating characteristic (ROC) curve (AUC) were used to investigate the efficacies of 4 risk models (the THRIVE,MSS,HIAT,and GRASPS scores) for predicting intracerebral hemorrhage (including any intracranial hemorrhage events and symptomatic intracranial hemorrhage) and poor outcomes (including 90 d all-cause death and modified Rankin Scale[mRS] score≥3) in acute anterior circulation ischemic stroke after mechanical thrombectomy.Results The MSS score (AUC 0.639,95%CI 0.548-0.730,P=0.004) and GRASPS score (AUC 0.616,95%CI 0.525-0.706,P=0.017) could predict any intracranial hemorrhage events,but the predictive accuracy was low.They had the predictive value for death within 90 d after mechanical thrombectomy,and the GRASPS score (AUC 0.783,95%CI 0.706-0.860,P0.7.The AUC of GRASPS score was the largest (AUC 0.782,95%CI 0.708-0.885,P<0.01).Both had moderate predictive accuracy.Conclusion The GRASPS score had a better clinical predictive value for all-cause death and poor prognosis within 90 d after mechanical thrombectomy.The THRIVE score had a better clinical predictive value for poor prognosis at 90 d.The 4 models predictive value for intracranial hemorrhage events after mechanical thrombectomy should be further examined.

Early prediction of neurodevelopmental outcomes in very low birth weight infants with general movements assessment / 国际儿科学杂志

Very low birth weight children due to its central nervous system immature,are more prone to brain damage,and neurological developmental disorders.Numerous studies have demonstrated that the general movements assessment can predict early stage neurodevelopmental outcomes in high risk infants and can be used as a tool to predict neurodevelopmental outcome in very low birth weight infants.Early prediction and timely intervention can reduce the morbidity of very low birth weight infants.

The progress and challenges of precision oncology / 复旦学报（医学版）

Precision oncology is applying established clinic-pathological indexes with molecular profiling to create diagnostic,prognostic,and therapeutic strategies precisely tailor to each patient's requirements.It includes precision prevention (cancer risk detection and prophylactic intervention),precision diagnosis (early detection and diagnosis,molecular classification),and precision treatment (molecular targeted therapies,predicting and monitoring treatment response and precision surgery based on the combination of visual,cytology,pathologic review,as well as molecular profiling assessments).Understanding of cancer and clinical decision making from the molecular level is necessary in era of precision oncology.Many challenges,including the heterogeneity and dynamic evolution of cancer cells,few understanding about cancer biology,pairing the massive genomic data with inaccurate clinical information,limited sensitive drugs and unexplained resistance,insufficient cancer biomarkers for precision diagnosis and treatment,have to be overcome before it can be clinical routines.

Value of ABCD2 Score in Predicting Medium-and Long-Term Prognosis in Patients with Ischemic Stroke / 现代医院

Objective To discuss the value of ABCD2 score in predicting medium and long-term prognosis in patients with ischemic stroke.Methods 184 patients with ischemic stroke admitted to department of neurology from March 2014 to December 2014 were selected as the research object.According to the ABCD2 score points prior to admission, the patients were divided into 3 groups: 40 cases in the low risk group, 76 in the moderate group and 68 in the high risk group based on whether or to what extent he was able to do self care.The phone call reviews were made for the clinical symptoms of patients discharged from the hospital after six months..According to the modified Rankin scale classification standard, the patients discharged from the hospital after six months were divided into 2 groups: 126 cases in the self-care group and 56 cases in care-needing group.The groups were compared in terms of conditions.Results The self-care rate in the low risk group was 90.00%, the moderate group 77.63% and the high-risk group 45.59%.The care needing rates in the three groups was 5%, 19.74% and 48.53%, respectively.The care needing rate in the low risk group was obviously lower than that in the moderate-risk group and the high risk group (P<0.05).The care needing rate in the moderate risk group was obviously lower than that in the high risk group (P< 0.05).The self-care rates in the low risk group and the moderate group were higher than that in the high risk group (P<0.05).Conclusion The ABCD2 score has a higher predictive value for medium and long-term prognosis in patients with ischemic stroke.

A Comparative Study on the Effect of Principal Component Regression Analysis and Projection Pursuit Regression Analysis Applied to the Data with Collinearity / 中国卫生统计

Objective To compare the difference of effect between principal component regression analysis and projection pursuit regression analysis when collinearity exists in data.Methods Evaluating the advantages and disadvantages of the two modeling methods by using the actual data on two aspects:the fitting effect and the predicting effect.Results The principal component regression model showed that the coefficient of determination was 0.8172,the mean of absolute relative error was 6.42％ and the mean square of prediction error was 0.61.The projection pursuit regression model,on the other hand,showed that the coefficient of determination ranged from 0.8851 to 0.9944,the mean of absolute relative error ranged from1.11％ to 4.81％ and the mean square of prediction error ranged from 0.03 to 0.38.Conclusion The analysis results based on the actual data with collinearity indicate that the projection pursuit regression analysis outperforms the principal component regression analysis both in fitting and predicting effect.

Value of NLR,PLR and their changes in predicting occurrence of anastomotic leakage after surgery in patients with rectal cancer / 中国免疫学杂志

Objective:To explore the value of preoperative neutrophil-lymphocyte ratio (NLR),preoperative platelet-lymphocyte ratio (PLR),changes between pre and postoperative neutrophil-lymphocyte ratio(postoperative NLR/preoperative NLR) and changes between pre and postoperative platelet-lymphocyte ratio(postoperative PLR/preoperative PLR) in predicting the occurrence of anastomotic leakage after surgery in patients of rectal cancer.Methods: 187 rectal cancer patients in the Gastrointestinal Surgery Department in the First Affiliated Hospital of Southwestern Medical University during March,2015-March,2016 were included in our study.Preoperative NLR,preoperative PLR,changes between pre and postoperative NLR and changes between pre and postoperative PLR were observed.At the same time we included age,gender,pathological staging,stage of lymph node metastasis,tumor differentiation,distance between tumor and anus in our study.χ2 test or Fisher′s exact value was used in the univariate analysis,while Logistic Regression Analysis was used in the multivariate analysis.Results: The univariate analysis showed that preoperative NLR (Fisher′s exact value=7.242),preoperative PLR (χ2=6.787),changes between pre and postoperative NLR (χ2=15.656),PLR (χ2=9.298),age (χ2=4.813) and distance between tumor and anus(χ2=5.951) were related to anastomotic leakage(P0.05).Multivariate analysis showed that the preoperative NLR(OR=1.647,P=0.000),change between pre and postoperative NLR (OR=1.880,P=0.000)and distance between tumor and anus(OR=4.364,P=0.048) were associated with anastomotic leakage.Conclusion: preoperative NLR,change between pre and postoperative NLR and distance between tumor and anus are independent risk factors for anastomotic leakage after rectal anterior resection.

Differentiated thyroid cancer in Iran – initial observations, histological features, management of the disease, and tumor recurrence: A review of 1689 cases.

AIM: The main objective of this study was to define some histopathological aspects of differentiated thyroid cancer (DTC), describe the disease management, and evaluate potential predicting factors for tumor recurrence in Iran. MATERIALS AND METHODS: Medical records of 1689 patients of DTC treated over a 15‑year period at a referral hospital located in the central region of Iran were reviewed retrospectively. RESULTS: The female/male ratio was 3.78. The mean size of tumors was 23.35 mm. Most patients had papillary thyroid cancer (PTC) followed by follicular thyroid cancer (FTC) (83% and 5.5%, respectively). Lymph node involvement was seen in 27.6% of patients, and 3.6% of them had distant metastasis. Tumor recurrence was reported in 36.4% of patients. Higher stages of cancer, presence of lymph node involvement, presence of distant metastasis, larger tumor size, history of goiter, and higher doses of 131‑Iodine at the first admission were associated with more chance of recurrence (P < 0.05). Comparing features of PTC and FTC, we found a more invasive behavior in FTC patients, including more capsular and near tissue invasion, higher stages of cancer, more frequent distant metastasis, and larger tumor size. CONCLUSION: This study provides useful information on characteristics of DTC, its management, and some prognostic factors. Our findings suggest that higher stages of cancer at diagnosis, presence of lymph node involvement, presence of distant metastasis, larger tumor size, history of goiter, and higher doses of 131‑iodine administered at the first admission are associated with more chance of tumor recurrence. Furthermore, we found that FTC follows a more aggressive behavior and recommends clinicians to handle FTC patients more cautiously.

Factors Predicting Personal and Social Performance in Schizophrenia Patients / 대한정신분열병학회지

OBJECTIVES: Schizophrenia is a chronic psychiatric disorder characterized by its debilitating course. It leads to personal and social dysfunctions, burdening patients and guardians heavily. Enhancing functional outcome is a major treatment goal, but pharmacotherapy alone is usually not enough. Hence, it is important to reveal clinical factors that can predict personal and social performance in schizophrenia patients. Analyze factors influencing personal and social performance in schizophrenia patients. METHODS: 66 schizophrenia patients from three University hospitals in Korea were enrolled, completing clinical scales between January 2008 and December 2009. 38 patients dropped out during follow up. 28 patients were included in the final study. Personal and social performance was measured using the Personal and Social Performance scale (PSP) since January 2015. Correlation and multiple regression analyses were performed to reveal associations between demographic and clinical factors and PSP. RESULTS: Correlation analyses resulted in statistically significant correlations between CGI-S (r=-0.646, p<0.01), PANSS (r=-0.419, p<0.05), KISP (r=-0.523, r<0.01), KmSWN (r=0.388, p<0.05), Trail making B (r=0.608, p<0.01), KDAI (r=0.608, p<0.01), and PSP. Stepwise multiple regression analyses showed significant models with CGI-S (β=-0.485, p<0.01), and KDAI (β=0.423, p<0.01). CONCLUSION: Our results show that attitude toward drugs and symptom severity affect a patient’s personal and social performance most prominently. We advise to focus on patient education to reinforce attitude toward drugs, and to concentrate on reducing symptom severity to enhance personal and social performance in schizophrenia patients.

The predictive value of cleveland clinical score for acute renal injury after cardiac valve surgery in Chinese adult patients / 中华胸心血管外科杂志

Objective To validate the value of Cleveland Clinical Score in predicting acute renal injury requiring renal replacement therapy(RRT-AKI) after cardiac valve surgery in Chinese adult patients.Methods An analysis was conducted for all the adult patients who underwent cardiac valve surgery from January 2010 to December 2014 in Changhai Hospital,Shanghai.A total of 3 230 adult patients were included.Based on Cleveland Clinical Score,the patients were divided into 3 risk stages:0 to 2 point,3 to 5 point,and 6 to 8 point.The incidence of RRT-AKI were compared between different stages.And the predictive value of the Cleveland Clinical Score model was assessed by area under the receiver operating characteristic curve(AUC-ROC) and the model calibration was assessed using the Hosmer-Lemeshow test.The patients were also divided into two groups:Non-RRT group and RRT-AKI group.The mortality were compared between these two groups.Results The incidence of RRT-AKI was 1.67％ vs the predicted ratio of RRT-AKI 1.70％ (x2 =0.018,P =0.892).Among the stage 1,2,and 3,the actual incidence of RRT-AKI,was 1.23％,2.66％,and 16.7％ vs the predicted incidence 0.40％,1.80％,and 9.50％,respectively.The AUC-ROC for Cleveland Clinical Score predicting RRT-AKI was 0.64 [95 ％ CI(0.57,0.71),P ＜0.01].Compared with Non-RRT group,the RRT-AKI group got a higher mortality(87.00％ vs 1.50％,x2 =1 330,P ＜0.01).Conclusion The Cleveland Clinical score had no real predictive value for RRT-AKI in Chinese adult patients after cardiac valve surgery.The incidence of RRT-AKI of the whole population and the stage 3 patients could be predicted by the model.And the patients with a high Cleveland score got a higher mortality than that of patients with a low Cleveland score.

Development and evaluation of a predicting model of dose volume histograms of parotid in NPC IMRT planning / 中华放射肿瘤学杂志

Objective To study the mathematical predicting model of parotid DVH for the NPC IMRT planning, and its accuracy with the analysis of medical data. Methods 50 NPC radiotherapy treatment plans with same beam setup were chosen as sample data set, then their parotid DVHs and distance of voxels in the parotid to the target volumes were calculated with self-developed program to form the distance to target histogram ( DTHs);principal component analysis was applied to DVHs and DTHs to acquire their principal components ( PCs) ,and then nonlinear multiple variable regression was used to model correlation between the DTHs' PCs, parotids volume, PTVs and the DVHs. Another 10 plans were chosen as test data set to evaluate the efficacy and accuracy of the final model by comparing the DVHs calculated from our model with those calculated from the TPS. Results Up to 97% information of DTHs and DVHs can be represented with 2 to 3 components, the average fitting error of sample data set was (0±3. 5)%;in the 10 test cases, the shapes of DVH curves calculated from predicting model was highly the same with those from the TPS, the average modeling error was (-0.7± 4. 4)%,the accuracy of prediction was up 95%. Conclusions Our developed model can be used as a quality evaluating tool to predict and assure the dose distribution in parotid of NPC radiotherapy treatment planning effectively and accurately.