Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images.

BACKGROUND: Asymptomatic COVID-19 carriers with normal chest computed tomography (CT) scans have perpetuated the ongoing pandemic of this disease. This retrospective study aimed to use automated machine learning (AutoML) to develop a prediction model based on CT characteristics for the identification of asymptomatic carriers. METHODS: Asymptomatic carriers were from Yangzhou Third People's Hospital from August 1st, 2020, to March 31st, 2021, and the control group included a healthy population from a nonepizootic area with two negative RT‒PCR results within 48 h. All CT images were preprocessed using MATLAB. Model development and validation were conducted in R with the H2O package. The models were built based on six algorithms, e.g., random forest and deep neural network (DNN), and a training set (n = 691). The models were improved by automatically adjusting hyperparameters for an internal validation set (n = 306). The performance of the obtained models was evaluated based on a dataset from Suzhou (n = 178) using the area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and F1 score. RESULTS: A total of 1,175 images were preprocessed with high stability. Six models were developed, and the performance of the DNN model ranked first, with an AUC value of 0.898 for the test set. The sensitivity, specificity, PPV, NPV, F1 score and accuracy of the DNN model were 0.820, 0.854, 0.849, 0.826, 0.834 and 0.837, respectively. A plot of a local interpretable model-agnostic explanation demonstrated how different variables worked in identifying asymptomatic carriers. CONCLUSIONS: Our study demonstrates that AutoML models based on CT images can be used to identify asymptomatic carriers. The most promising model for clinical implementation is the DNN-algorithm-based model.

Enhanced tyrosine sulfation is associated with chronic kidney disease-related atherosclerosis.

BACKGROUND: Chronic kidney disease (CKD) accelerates atherosclerosis, but the mechanisms remain unclear. Tyrosine sulfation has been recognized as a key post-translational modification (PTM) in regulation of various cellular processes, and the sulfated adhesion molecules and chemokine receptors have been shown to participate in the pathogenesis of atherosclerosis via enhancement of monocyte/macrophage function. The levels of inorganic sulfate, the essential substrate for the sulfation reaction, are dramatically increased in patients with CKD, which indicates a change of sulfation status in CKD patients. Thus, in the present study, we detected the sulfation status in CKD patients and probed into the impact of sulfation on CKD-related atherosclerosis by targeting tyrosine sulfation function. RESULTS: PBMCs from individuals with CKD showed higher amounts of total sulfotyrosine and tyrosylprotein sulfotransferase (TPST) type 1 and 2 protein levels. The plasma level of O-sulfotyrosine, the metabolic end product of tyrosine sulfation, increased significantly in CKD patients. Statistically, O-sulfotyrosine and the coronary atherosclerosis severity SYNTAX score positively correlated. Mechanically, more sulfate-positive nucleated cells in peripheral blood and more abundant infiltration of sulfated macrophages in deteriorated vascular plaques in CKD ApoE null mice were noted. Knockout of TPST1 and TPST2 decreased atherosclerosis and peritoneal macrophage adherence and migration in CKD condition. The sulfation of the chemokine receptors, CCR2 and CCR5, was increased in PBMCs from CKD patients. CONCLUSIONS: CKD is associated with increased sulfation status. Increased sulfation contributes to monocyte/macrophage activation and might be involved in CKD-related atherosclerosis. Inhibition of sulfation may suppress CKD-related atherosclerosis and is worthy of further study.

Development of a scoring system for predicting primary resistance to venetoclax plus hypomethylating agents (HMAs) in acute myeloid leukemia patients.

In recent years, one of the most promising advances in the treatment of acute myeloid leukemia (AML) is the combination of a hypomethylating agent (HMA) with the BCL2 inhibitor venetoclax (VEN). To better understand the key factors associated with the response of VEN plus HMA, 212 consecutive AML patients were retrospectively recruited to establish and validate a scoring system for predicting the primary resistance to VEN-based induced therapy. All AML patients were divided randomly into a training set (n = 155) and a validation set (n = 57). Factors were selected using a multivariate logistic regression model, including FAB-M5, myelodysplastic syndrome-secondary acute myeloid leukemia (MDS-sAML), RUNX1-RUNX1T1 and FLT3-ITD mutation (FLT3-ITDm). A nomogram was then constructed including all these four predictors. The nomogram both presented a good performance of discrimination and calibration, with a C-index of 0.770 and 0.733 in the training and validation set. Decision curve analysis also indicated that the nomogram was feasible to make beneficial decisions. Eventually a total scoring system of 8 points was developed, which was divided into three risk groups: low-risk (score 0-2), medium-risk (score 3-4), and high-risk (score 5-8). There was a significant difference in the nonremission (NR) rate of these three risk groups (22.8% vs. 60.0% vs. 77.8%, p < 0.001). After adjustment of the other variables, patients in medium- or high-risk groups also presented a worse event-free survival (EFS) than that in the low-risk group (hazard ratio [HR] = 1.62, p = 0.03). In conclusion, we highlighted the response determinants of AML patients receiving a combination therapy of VEN plus HMAs. The scoring system can be used to predict the resistance of VEN, providing better guidance for clinical treatment.

Predicting the Recurrence of Common Bile Duct Stones After ERCP Treatment with Automated Machine Learning Algorithms.

BACKGROUND: Recurrence of common bile duct stones (CBDs) commonly happens after endoscopic retrograde cholangiopancreatography (ERCP). The clinical prediction models for the recurrence of CBDs after ERCP are lacking. AIMS: We aim to develop high-performance prediction models for the recurrence of CBDS after ERCP treatment using automated machine learning (AutoML) and to assess the AutoML models versus the traditional regression models. METHODS: 473 patients with CBDs undergoing ERCP were recruited in the single-center retrospective cohort study. Samples were divided into Training Set (65%) and Validation Set (35%) randomly. Three modeling approaches, including fully automated machine learning (Fully automated), semi-automated machine learning (Semi-automated), and traditional regression were applied to fit prediction models. Models' discrimination, calibration, and clinical benefits were examined. The Shapley additive explanations (SHAP), partial dependence plot (PDP), and SHAP local explanation (SHAPLE) were proposed for the interpretation of the best model. RESULTS: The area under roc curve (AUROC) of semi-automated gradient boost machine (GBM) model was 0.749 in Validation Set, better than the other fully/semi-automated models and the traditional regression models (highest AUROC = 0.736). The calibration and clinical application of AutoML models were adequate. Through the SHAP-PDP-SHAPLE pipeline, the roles of key variables of the semi-automated GBM model were visualized. Lastly, the best model was deployed online for clinical practitioners. CONCLUSION: The GBM model based on semi-AutoML is an optimal model to predict the recurrence of CBDs after ERCP treatment. In comparison with traditional regressions, AutoML algorithms present significant strengths in modeling, which show promise in future clinical practices.

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review.

With the advances in endoscopic technologies and artificial intelligence, a large number of endoscopic imaging datasets have been made public to researchers around the world. This study aims to review and introduce these datasets. An extensive literature search was conducted to identify appropriate datasets in PubMed, and other targeted searches were conducted in GitHub, Kaggle, and Simula to identify datasets directly. We provided a brief introduction to each dataset and evaluated the characteristics of the datasets included. Moreover, two national datasets in progress were discussed. A total of 40 datasets of endoscopic images were included, of which 34 were accessible for use. Basic and detailed information on each dataset was reported. Of all the datasets, 16 focus on polyps, and 6 focus on small bowel lesions. Most datasets (n = 16) were constructed by colonoscopy only, followed by normal gastrointestinal endoscopy and capsule endoscopy (n = 9). This review may facilitate the usage of public dataset resources in endoscopic research.

Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network-Based Deep Learning Models.

Novel coronavirus disease 2019 (COVID-19) has rapidly spread throughout the world; however, it is difficult for clinicians to make early diagnoses. This study is to evaluate the feasibility of using deep learning (DL) models to identify asymptomatic COVID-19 patients based on chest CT images. In this retrospective study, six DL models (Xception, NASNet, ResNet, EfficientNet, ViT, and Swin), based on convolutional neural networks (CNNs) or transformer architectures, were trained to identify asymptomatic patients with COVID-19 on chest CT images. Data from Yangzhou were randomly split into a training set (n = 2140) and an internal-validation set (n = 360). Data from Suzhou was the external-test set (n = 200). Model performance was assessed by the metrics accuracy, recall, and specificity and was compared with the assessments of two radiologists. A total of 2700 chest CT images were collected in this study. In the validation dataset, the Swin model achieved the highest accuracy of 0.994, followed by the EfficientNet model (0.954). The recall and the precision of the Swin model were 0.989 and 1.000, respectively. In the test dataset, the Swin model was still the best and achieved the highest accuracy (0.980). All the DL models performed remarkably better than the two experts. Last, the time on the test set diagnosis spent by two experts-42 min, 17 s (junior); and 29 min, 43 s (senior)-was significantly higher than those of the DL models (all below 2 min). This study evaluated the feasibility of multiple DL models in distinguishing asymptomatic patients with COVID-19 from healthy subjects on chest CT images. It found that a transformer-based model, the Swin model, performed best.

Automated Multimodal Machine Learning for Esophageal Variceal Bleeding Prediction Based on Endoscopy and Structured Data.

Esophageal variceal (EV) bleeding is a severe medical emergency related to cirrhosis. Early identification of cirrhotic patients with at a high risk of EV bleeding is key to improving outcomes and optimizing medical resources. This study aimed to evaluate the feasibility of automated multimodal machine learning (MMML) for predicting EV bleeding by integrating endoscopic images and clinical structured data. This study mainly includes three steps: step 1, developing deep learning (DL) models using EV images by 12-month bleeding on TensorFlow (backbones include ResNet, Xception, EfficientNet, ViT and ConvMixer); step 2, training and internally validating MMML models integrating clinical structured data and DL model outputs to predict 12-month EV bleeding on an H2O-automated machine learning platform (algorithms include DL, XGBoost, GLM, GBM, RF, and stacking); and step 3, externally testing MMML models. Furthermore, existing clinical indices, e.g., the MELD score, Child‒Pugh score, APRI, and FIB-4, were also examined. Five DL models were transfer learning to the binary classification of EV endoscopic images at admission based on the occurrence or absence of bleeding events during the 12-month follow-up. An EfficientNet model achieved the highest accuracy of 0.868 in the validation set. Then, a series of MMML models, integrating clinical structured data and the output of the EfficientNet model, were automatedly trained to predict 12-month EV bleeding. A stacking model showed the highest accuracy (0.932), sensitivity (0.952), and F1-score (0.879) in the test dataset, which was also better than the existing indices. This study is the first to evaluate the feasibility of automated MMML in predicting 12-month EV bleeding based on endoscopic images and clinical variables.

C9orf72 knockdown alleviates hepatic insulin resistance by promoting lipophagy.

Insulin resistance (IR) attributed by the deficiency of lipophagy, is an abnormal state of downregulation of insulin-mediated glucose uptake and use into the liver. Chromosome 9 open reading frame 72 (C9orf72) variously modulates autophagy. We investigated the role and the downstream pathway of C9orf72 in hepatic IR. We found that C9orf72 knockdown alleviated hepatic IR by lipophagy promotion in T2DM mice and in IR-challenged hepatocytes in vitro. C9orf72 interacted with and activated cell division cycle 42 (Cdc42) protein in IR-challenged hepatocytes, Which in turn, inhibits lipophagy by promoting neural Wiskott-Aldrich syndrome protein (N-WASP) expression and activation. C9orf72 inhibited lipophagy by activating the Cdc42/N-WASP axis to facilitate hepatic IR; therefore, the knockdown of C9orf72 may be potentially therapeutic for the treatment of IR.

Percutaneous Ventricular Restoration Prevents Left Ventricular Remodeling Post Myocardial Infarction: One-Year Evaluation of the Heartech First-in-man Study.

BACKGROUND: This is first-in-man investigation of an implantable Heartech left ventricular partitioning device (LVPD) therapy for chronic heart failure (HF) after a myocardial infarction. METHODS AND RESULTS: Initially, 16 patients were chosen from 3 cardiac centers within China. All patients were treated with percutaneous ventricular restoration involving the Heartech LVPD implantation. Major adverse cardiovascular and cerebrovascular events were documented. Functional status, echocardiograph evaluation, European five-dimensional health scale, 6-minute walk test before the procedure and at postoperative follow-ups were recorded. We demonstrated successful implantation and device function with a success rate of 93.75%. One patient suffered a fatal myocardial infarction within the 12 ± 1 month follow-up. However, other patients did not report any major adverse cardiovascular and cerebrovascular events at their 12 ± 1 month follow-ups. After the operation, the average left ventricular end-systolic volume index decreased dramatically (66.00 mL/m2, interquartile range [IQR] 63.00-89.00 mL/m2 vs 48.00 mL/m2, IQR 32.25-68.25 mL/m2, P = .001), along with the left ventricular end-diastolic volume index (105.00 mL/m2, IQR 90.00-130.00 mL/m2 vs 76.50 mL/m2, IQR 57.75-120.25 mL/m2, P = .002). The left ventricular ejection fraction (35.00%, IQR 27.00-38.00% vs 42.50%, IQR 34.75-50.25%, P = .003), 6-minute walk test (383.13 ± 108.70 m vs 491.17 ± 118.44 m, P = .01), and European five-dimensional health scale (65.93 ± 11.25 vs 82.50 ± 5.44, P < .001), in turn, improved significantly. CONCLUSIONS: In our study, the Heartech LVPD was demonstrated as both safe and effective in reducing LV volume, enhancing LV function after implantation. These results remain constant at least till the 12 month follow-up. (Trial Registration: NCT02938637.).

Using circulating O-sulfotyrosine in the differential diagnosis of acute kidney injury and chronic kidney disease.

BACKGROUND: Sulfation of tyrosine, yielding O-sulfotyrosine, is a common but fixed post-translational modification in eukaryotes. Patients with increased circulating O-sulfotyrosine levels experience a faster decline in renal function with progression to end-stage renal disease (ESRD). In the present study, we measured serum O-sulfotyrosine levels in individuals with chronic kidney disease (CKD) and acute kidney injury (AKI) to explore its ability to differentiate AKI from CKD. METHODS: A total of 135 patients (20 with AKI and 115 with CKD) were recruited prospectively for liquid chromatography-mass spectrometry assessment of circulating O-sulfotyrosine. We also studied C57BL/6 mice with CKD after 5/6 nephrectomy (Nx). Blood samples were drawn from the tail vein on Day 1, 3, 5, 7, 14, 30, 60, and 90 after CKD. Serum separation and characterization of creatinine, blood urea nitrogen (BUN), and O-sulfotyrosine was performed. Thus, the time-concentration curves of the O-sulfotyrosine level demonstrate the variation of kidney dysfunction. RESULTS: The serum levels of O-sulfotyrosine were markedly increased in patients with CKD compared with AKI. Median O-sulfotyrosine levels in CKD patients versus AKI, respectively, were as follows:243.61 ng/mL(interquartile range [IQR] = 171.90-553.86) versus 126.55 ng/mL (IQR = 48.19-185.03, P = 0.004). In patients with CKD, O-sulfotyrosine levels were positively correlated with creatinine, BUN, and Cystatin C (r = 0.63, P < 0.001; r = 0.49, P < 0.001; r = 0.61, P < 0.001, respectively) by the multivariate linear regression analysis (ß = 0.71, P < 0.001; ß = 0.40, P = 0.002; ß = 0.73, P < 0.001, respectively). However, this association was not statistically significant in patients with AKI (r = - 0.17, P = 0.472; r = 0.11, P = 0.655; r = 0.09, P = 0.716, respectively). The receiver operating characteristic (ROC) analysis illustrated that the area under the curve was 0.80 (95% confidence interval [CI] 0.71-0.89; P < 0.001) and the optimal cut-off value of serum O-sulfotyrosine suggesting AKI was < 147.40 ng/mL with a sensitivity and specificity of 80.90 and 70.00% respectively. In animal experiments, serum levels of O-sulfotyrosine in mice were elevated on Day 7 after 5/6 nephrectomy (14.89 ± 1.05 vs. 8.88 ± 2.62 ng/mL, P < 0.001) until Day 90 (32.65 ± 5.59 vs. 8.88 ± 2.62 ng/mL, P < 0.001). CONCLUSION: Serum O-sulfotyrosine levels were observed correlated with degrading renal function and in CKD patients substantially higher than those in AKI patients. Thus serum O-sulfotyrosine facilitated the differential diagnosis of AKI from CKD.

Optimal timing of coronary angiograms for patients with chronic kidney disease: association between the duration of kidney dysfunction and SYNTAX scores.

BACKGROUND: Chronic kidney disease (CKD) is associated with an increased risk of the progression of coronary artery disease (CAD). However, there are few data on the relationship between CAD severity and the duration of CKD. This study assessed the predictive value of the duration of kidney dysfunction in CKD patients with CAD severity. METHODS: In 145 patients (63.4% male, n = 92; mean age, 68.8 ± 12.8 years) with CKD, severity of CAD was assessed by coronary angiography and quantified by SYNTAX scores, and duration of kidney dysfunction was either assessed by checking historical biochemical parameters of individuals or was based on enquiries. RESULTS: Patients with high SYNTAX scores (≥ 22) had a greater prevalence of cardiovascular risk factors including age, gender, history of heart failure and smoking. In CKD patients, SYNTAX scores were positively correlated to duration of CKD and serum uric acid (UA), and negatively correlated to high-density lipoprotein-cholesterol (HDL-C) and ApoA1 levels. Univariate binary logistic regression and multivariate logistic analyses showed that SYNTAX scores correlated significantly with CKD duration, UA, and HDL-C. Receiver-operating characteristic analysis was used to explore a time point when coronary angiography application was economical and effective and yielded a Youden index of 6.5 years. CONCLUSIONS: Together, our results demonstrated that the duration of kidney dysfunction was an independent correlate of the severity of CAD in patients with CKD. Our findings suggest that coronary angiography should be considered for CKD patients with renal insufficiency having lasted for more than 6.5 years.

The treatment efficacy of adding prokinetics to PPIs for gastroesophageal reflux disease: a meta-analysis.

BACKGROUND: Gastroesophageal reflux disease (GERD) is a common gastrointestinal disorder. Proton pump inhibitors (PPIs) are first-line drugs for GERD. For those who fail to respond to PPIs, adding prokinetics to PPIs is recommended and several trials have been conducted to evaluate the efficacy of prokinetic-PPI combination therapy. METHODS: A systematic literature search was performed using PubMed and the Cochrane Library databases before February 2019 for randomized controlled trials (RCTs), which compared the efficacy of prokinetics plus PPI treatment with that of PPI monotherapy. Relevant studies were examined and data were extracted independently by two investigators. The risk ratios (RRs) with 95% CIs were used to evaluate the responder rate, and standard mean differences (SMDs) or mean differences (MDs) with 95% CIs were used for symptom score changes. Statistical heterogeneity was evaluated by the I2 statistic. Either a fixed-effect or a random-effect model was established for calculating the pooled data. RESULTS: A total of 14 studies, comprising 1,437 patients were ultimately included in the meta-analysis. The pooled analysis showed that compared to PPI monotherapy, addition of prokinetics to PPI did not elevate the rate of endoscopic responders (RR = 0.996, 95% CI 0.929 - 1.068, p = 0.917), but improved symptom response (RR = 1.185, 95% CI 1.042 - 1.348, p = 0.010). Additionally, the combined therapy achieved a greater symptom relief than monotherapy both in FSSG and GERD-Q subgroups (MD = - 2.978, 95% CI - 3.319 to - 2.638, p < 0.001; MD = - 0.723, 95% CI - 0.968 to - 0.478, p < 0.001). CONCLUSIONS: Adding prokinetics to PPIs achieves symptomatic improvement compared to PPI monotherapy, thus can enhance life quality of GERD patients. However, the combined treatment seems to have no significant effect on mucosal healing.

Individualized prediction of survival benefit from primary tumor resection for patients with unresectable metastatic colorectal cancer.

BACKGROUND: The impact of primary tumor resection (PTR) on the prognosis of unresectable metastatic colorectal cancer (mCRC) patients remains debatable. We aimed to develop several prognostic nomograms which could be useful in predicting whether patients might benefit from PTR or not. METHODS: Patients diagnosed as mCRC without resected metastasis were identified from the Surveillance Epidemiology and End Results database and randomly assigned into two groups: a training cohort (6369 patients) and a validation cohort (2774 patients). Univariate and multivariable Cox analyses were performed to identify the independent predictors and construct nomograms that could independently predict the overall survival (OS) of unresectable mCRC patients in PTR and non-PTR groups, respectively. The performance of these nomograms was assessed by the concordance index (C-index), calibration curves, and decision curve analysis (DCA). RESULTS: Based on the result of univariate and multivariable Cox analyses, two nomograms were respectively constructed to predict the 1-year OS rates of unresectable mCRC patients when receiving PTR and not. The first one included age, gender, tumor grade, proximal colon, N stage, CEA, chemotherapy, radiotherapy, histology type, brain metastasis, liver metastasis, lung metastasis, and bone metastasis. The second nomogram included age, race, tumor grade, primary site, CEA, chemotherapy, brain metastasis, and bone metastasis. These nomograms showed favorable sensitivity with the C-index range of 0.700-0.725. The calibration curves and DCAs also exhibited adequate fit and ideal net benefits in prognosis prediction and clinical application. CONCLUSIONS: These practical prognosis nomograms could assist clinicians in making appropriate treatment decisions to effectively manage the disease.

Epidemiological Trends in Gastrointestinal Cancers in China: An Ecological Study.

BACKGROUND: In recent decades, the patterns and trends of gastrointestinal (GI) cancer epidemics in Chinese population have been changing. AIMS: To present the epidemiological trends and geographic distributions of four major GI cancers (esophageal cancer, stomach cancer, liver cancer and colorectal cancer) in China from 2010 to 2014. METHODS: It used standardized data extracted from the National Central Cancer Registry database. RESULTS: The age-standardized incidence rates (ASIR) of esophageal cancer decreased from 16.7 to 12.2 per 100,000 and the age-standardized mortality rates (ASMR) decreased from 12.0 to 8.8 per 100,000. The ASIR and the ASMR of stomach cancer dropped from 23.7 to 19.5 per 100,000 and from 16.6 to 13.3 per 100,000. The ASIR of liver cancer fell from 21.4 to 17.8 per 100,000 and its ASMR fell from 18.4 per 100,000 to 15.3 per 100,000. The ASIR of colorectal cancer increased from 16.1 to 17.5 per 100,000, whereas the ASMR fluctuated between 7.6 and 7.9 per 100,000. Moreover, the incidence and mortality of each cancer differed between males and females, urban and rural residence, as well as various regions. CONCLUSION: From 2010 to 2014, esophageal cancer, stomach cancer and liver cancer showed downward trend, while the ASIR of colorectal cancer slightly rose and its ASMR presented stable.

Validation of the Toronto hepatocellular carcinoma risk index for patients with cirrhosis in China: a retrospective cohort study.

BACKGROUND: The Toronto hepatocellular carcinoma (HCC) risk index (THRI) was developed to predict HCC in patients with cirrhosis. This study aimed to validate the THRI in a 10-year Asian cohort. METHODS: A total of 2836 patients with cirrhosis at the First Affiliated Hospital of Soochow University between January 2008 and May 2018 were evaluated. Based on the THRI value at diagnosis, patients were divided into three groups (< 120, low-risk; 120-240, intermediate-risk; > 240, high-risk). Student's t test and Fisher's exact test were applied to compare parameters between the HCC group and the non-HCC group. The receiver operator characteristic (ROC) curve was drafted to identify the value of the THRI in predicting HCC. Logistic regression was utilized to assess the relationship between the development of HCC and THRI values. The incidence of HCC was calculated for the three groups using the Kaplan-Meier method, and curves were compared using the log-rank test. RESULTS: Of 520 patients enrolled in this study, 76 patients developed HCC. Patients who developed HCC had a higher THRI score than those who did not develop HCC (279.5 ± 57.1 vs. 232.3 ± 67.6, respectively, p < 0.001). The area under the ROC curve for the THRI to predict HCC was 0.707 ([95% CI 0.645-0.769], p < 0.001), with a sensitivity of 0.842 and a specificity of 0.486 when the cutoff THRI value was 226. Compared to the low-risk group, the high-risk group presented higher odds of developing HCC (adjusting odds ratio 1.026 [95% CI 1.002-1.051], p = 0.036). Differences existed in the cumulative incidence of HCC among the three risk groups (log-rank, p < 0.001). The 5-year cumulative HCC incidence of the low-risk group, intermediate-risk group, and high-risk group was 0%, 13%, and 34%, respectively. CONCLUSION: This study validated THRI values for predicting HCC in Asians with cirrhosis, which presented a fine sensitivity to identify the high-risk population of HCC for secondary prevention.

Lémann Index at Diagnosis Predicts the Risk of Early Surgery in Crohn's Disease.

BACKGROUND: Identifying patients with Crohn's disease with rapid disease progress or high risk of early surgery is crucial to clinical decision making. OBJECTIVE: The aim was to evaluate the correlation between the Lémann index at diagnosis and abdominal surgery in the first year after Crohn's disease diagnosis and to find the risk factors for early surgery. DESIGN: This was a retrospective cohort study. SETTINGS: The study was conducted at a single tertiary hospital. PATIENTS: Patients diagnosed with Crohn's disease between 2013 and 2015 in our center were included. MAIN OUTCOME MEASURES: The outcome of interest was the need for an abdominal surgery within 1 year after the Lémann index evaluation at diagnosis. RESULTS: Of 212 eligible patients, 48 patients underwent abdominal surgery during follow-up. Lémann index was much higher in the surgery group (5.3 vs 2.6; p < 0.001). On tertiles of the Lémann index, the frequency of surgery grew (2.8%, 9.9%, and 55.7%; p < 0.001) as the Lémann index increased. The receiver operating characteristic curve was constructed taking into account the Lémann index for selecting patients with a high risk of surgery. Specificity, sensitivity, and area under receiver operating characteristic curve were 84.8%, 81.3%, and 0.89 of the Lémann Index at a cutoff level of 3.7. Patients with Lémann index ≥3.7 carried a higher risk of abdominal surgery (OR = 18.6; p < 0.001). Stricturing and penetrating disease were predictors for abdominal surgery, whereas antitumor necrosis factor treatment was associated with a significant reduction of surgical requirements. LIMITATIONS: This study was limited by its retrospective design. The ability of the Lémann index to predict the long-term risk of surgery was unknown. CONCLUSIONS: Lémann index at diagnosis is a reliable index to predict the risk of abdominal surgery in the first year after diagnosis of Crohn's disease. Patients with a high Lémann index might need closer follow-up or aggressive medical therapy. See Video Abstract at http://links.lww.com/DCR/A518.

Renal recruitment of B lymphocytes exacerbates tubulointerstitial fibrosis by promoting monocyte mobilization and infiltration after unilateral ureteral obstruction.

Renal fibrosis is a significant threat to public health globally. Diverse primary aetiologies eventually result in chronic kidney disease (CKD) and immune cells influence this process. The roles of monocytes/macrophages, T cells, and mast cells have been carefully examined, whilst only a few studies have focused on the effect of B cells. We investigated B-cell function in tubulointerstitial fibrosis induced by unilateral ureteral obstruction (UUO), using genetic B-cell-deficient µMT mice or CD20 antibody-mediated B-cell-depleted mice. Obstructed kidneys of µMT and anti-CD20-treated mice showed lower levels of monocyte/macrophage infiltration and collagen deposition compared to wild-type mice. Mechanistically, anti-CD20 attenuated UUO-induced alterations of renal tumour necrosis factor-α (TNF-α), vascular cell adhesion molecule 1 (VCAM-1) pro-inflammatory genes, and CC chemokine ligand-2 (CCL2) essential for monocyte recruitment; B cells were one of the main sources of CCL2 in post-UUO kidneys. Neutralization of CCL2 reduced monocyte/macrophage influx and fibrotic changes in obstructed kidneys. Therefore, early-stage accumulation of B cells in the kidney accelerated monocyte/macrophage mobilization and infiltration, aggravating the fibrosis resulting from acutely induced kidney nephropathy. © 2016 The Authors. Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.

Validation of simple indexes for nonalcoholic fatty liver disease in western China: a retrospective cross-sectional study.

Various noninvasive algorithms have been developed for predicting the presence of nonalcoholic fatty liver disease (NAFLD). The evaluation of the indexes' diagnostic performance has been reported in Europe and Asia over the past decade; however, external validation of them in China is rare. This study was aimed to evaluate various indexes for NAFLD in western China. It was a retrospective cross-sectional study, using data from a large-scale health check-up project at Sichuan provincial hospital. Receiver operating characteristic (ROC) curves of eight indexes, including the fatty liver index (FLI), the hepatic steatosis index, lipid accumulation product and etc., were developed to predict ultrasonographic NAFLD. There were 13,122 subjects in this study (2,692 NAFLD patients and 10,430 non-NAFLD participants). The area under ROC curve of FLI for predicting NAFLD was 0.880 (95% confidence interval, 0.874-0.886), which was significantly higher than other seven indexes. Accuracy, sensitivity and specificity of FLI for NAFLD were good (cut-off value = 30, 0.782, 0.832, 0.770 and cut-off value = 60, 0.838, 0.443, 0.940, respectively). Furthermore, FLI also presented advantages in expenditure and accessibility, compared with other indexes. It supports FLI as an easily accessible index for physicians and a reliable predictor for NAFLD screening in western China.

Epidemiological Trends in Colorectal Cancer in China: An Ecological Study.

BACKGROUND: Due to the changes in lifestyle and dietary behaviors, the incidence of colorectal cancer (CRC) has been rapidly increasing in China. AIMS: This study is to present the trends of CRC in China over the past decade. METHODS: It used a series of nationally representative data, including the National Central Cancer Registry of China, the GLOBOCAN project and the Global Burden of Disease. RESULTS: The age-standardized rate of CRC incidence increased from 12.8 in 2003 to 16.8 per 100,000 in 2011, while the mortality rose from 5.9 to 7.8 per 100,000. The age group most affected by incident CRC cases were those aged 60-74 years old, whereas CRC death was most associated with those >74 years. Furthermore, the east coast of China presented a higher mortality rate (>15 and 10-14.9 per 100,000 in men and women) than central and west China (5-14.9 and 5-9.9 per 100,000). Compared with other countries worldwide, China indicated lower rates of incidence (14.2 per 100,000), mortality (7.4 per 100,000), and 5-year prevalence (52.7 per 100,000) than most developed countries. However, China had a higher case-fatality ratio (14.0 %) and mortality/incidence ratio (52.1 %). Lastly, disability-adjusted life years attributed to CRC in China was 224.2 per 100,000. CONCLUSIONS: It presents a steady increase in CRC in China over the past decade. It also reveals the domestic diversity of age, gender, and geography and finds the differences between China and developed countries, which may yield insights for national programs and policies.

Safety and efficacy of a novel abluminal groove-filled biodegradable polymer sirolimus-eluting stent.

Late stent thrombosis (LST) following drug-eluting stent (DES) implantation in patients with coronary artery disease (CAD) is often associated with delayed vascular healing, resulting from vascular inflammation and hypersensitivity to durable polymers and drugs. Therefore, DES design, materials, and coatings have been technologically revolutionized. Herein, we designed a novel abluminal groove-filled biodegradable polymer sirolimus-eluting stent (AGF-BP-SES), with a sirolimus content of only about one-third of traditional DES. The mechanical performances of AGF-BP-SES during compression and expansion were investigated. The pharmacokinetic (PK) profile of sirolimus was studied in the swine model. The in vivo efficacy of AGF-BP-SES was compared with that of Xience PRIME® stent. The results showed that AGF-BP-SES exhibited mechanical properties similar to traditional DES, including the rebound ratio of radial contraction/direction, rebound ratio of axial contraction/direction, and inhomogeneity of compression/expansion. Despite utilizing a reduced dose of sirolimus, AGF-BP-SES delivered sirolimus to the coronary artery in a controlled and efficient manner. The stent maintained a safe and effective local drug concentration without local or systemic risks. In the swine model, histopathological indicators predicted safety and biocompatibility of AGF-BP-SES. In conclusion, AGF-BP-SES maintained similar mechanical properties as other stents while reducing the drug-loading capacity, and showed a favorable safety and efficacy profile of the targeted DES.