Clinical Characteristics and Outcomes of Severe and Critical Patients With 2019 Novel Coronavirus Disease (COVID-19) in Wenzhou: A Retrospective Study.

Information about severe cases of 2019 novel coronavirus disease (COVID-19) infection is scarce. The aim of this study was to report the clinical characteristics and outcomes of severe and critical patients with confirmed COVID-19 infection in Wenzhou city. In this single-centered, retrospective cohort study, we consecutively enrolled 37 RT-PCR confirmed positive severe or critical patients from January 28 to February 16, 2020 in a tertiary hospital. Outcomes were followed up until 28-day mortality. Fifteen severe and 22 critical adult patients with the COVID-19 infection were included. Twenty-six (68.4%) were men. Echocardiography data results suggest that normal or increased cardiac output and diastolic dysfunction are the most common manifestations. Compared with severe patients, critical patients were older, more likely to exhibit low platelet counts and high blood urea nitrogen, and were in hospital for longer. Most patients had organ dysfunction during hospitalization, including 11 (29.7%) with ARDS, 8 (21.6%) with acute kidney injury, 17 (45.9%) with acute cardiac injury, and 33 (89.2%) with acute liver dysfunction. Eighteen (48.6%) patients were treated with high-flow ventilation, 9 (13.8%) with non-invasive ventilation, 10 (15.4%) with invasive mechanical ventilation, 7 (18.9%) with prone position ventilation, 6 (16.2%) with extracorporeal membrane oxygenation (ECMO), and 3 (8.1%) with renal replacement therapy. Only 1 (2.7%) patient had died in the 28-day follow up in our study. All patients had bilateral infiltrates on their chest CT scan. Twenty-one (32.3%) patients presented ground glass opacity (GGO) with critical patients more localized in the periphery and the center. The mortality of critical patients with the COVID-19 infection is low in our study. Cardiac function was enhanced in the early stage and less likely to develop into acute cardiac injury, but most patients suffered with acute liver injury. The CT imaging presentations of COVID-19 in critical patients were more likely with consolidation and bilateral lung involvement.

Fibrinogen-like protein 2 prothrombinase may contribute to the progression of inflammatory bowel disease by mediating immune coagulation.

Inflammation and coagulation are interdependent processes that enable each process to activate and propagate the other in inflammatory bowel disease (IBD). Thus, we investigated the role of a novel immune coagulant, fibrinogen-like protein 2 prothrombinase (FGL2), in patients and mice with IBD. 83 IBD patients and 40 normal controls were enrolled, and trinitro-benzene-sulfonic acid (TNBS)-induced colitis mice were used. Expression of FGL2 in the intestine was detected by immunohistochemistry. Using serial sections, staining was performed to detect tumor necrosis factor α (TNF-α) expression, and to demonstrate co-localization of FGL2 with macrophages and fibrin. Correlations between FGL2 expression with some common laboratory parameters were examined. FGL2 was seen primarily in inflammatory infiltrating cells, mainly macrophages, and microvascular vessels and had a strong co-localization with fibrin deposition. IBD patients and mice had increased expression of FGL2 compared with controls. Furthermore, FGL2 expression was correlated with intestinal and plasmatic TNF-α expression, mean platelet volume (MPV), platelet count (PLT), platelet-crit (PCT), and fibrinogen. Our data indicate that FGL2 may mediate immune coagulation in IBD patients. It may be considered as a novel molecule that contributes to the onset and development of IBD.

The 50 Most-cited Articles in Gastroenterology and Hepatology from Mainland China.

OBJECTIVE: To identify and analyze the 50 most-cited gastroenterology and hepatology articles originating from mainland China. METHODS: We utilized the 2015 edition of Journal Citation Reports and PubMed to determine the 50 most-cited gastroenterology and hepatology articles from 75 professional journals and four leading journals in clinical medicine, which are The New England Journal of Medicine, The Lancet, The Journal of the American Medical Association, and The British Medical Journal. Then we excluded the articles written outside mainland China and collected the basic information, including the title, authors, year of publication, source journal, city, institution, number of citations, and topic of the research. RESULTS: The number of citations for the top 50 papers ranged from 279 to 89 (mean, 129). These articles were published between 2005 and 2012, in which 2009 was the year with the largest number of highly cited papers(13). All articles were published in 15 journals. The journal Hepatology published the largest number of articles(21), followed by Journal of Gastroenterology and Hepatology(4), Journal of Hepatology(4) and World Journal of Gastroenterology(4). The top 50 articles originated mainly from Shanghai(20), Guangzhou(13) and Beijing(6). Sun Yat-sen University produced most highly cited papers(10). The number of basic research was far more than clinical research, of which the ratio was about 1.78(32:18). In all these articles, hepatocellular carcinoma was the most-discussed topic(19), followed by hepatitis B virus(8) and endoscopic(5). CONCLUSIONS: Although a large gap remains between mainland China and the global community, the gastroenterology and hepatology research from China is gradually recognized by the world.

Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients.

BACKGROUND: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model analysis, retrospective analysis, and so on, but the results are inconsistent. MATERIALS AND METHODS: A total of 696 patients with lung cancer were enrolled. The factors were compared employing Student's t-test or the Mann-Whitney test or the Chi-square test and variables that were significantly related to the presence of deep fungal infection selected as candidates for input into the final artificial neural network analysis (ANN) model. The receiver operating characteristic (ROC) and area under curve (AUC) were used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. RESULTS: The prevalence of deep fungal infection from lung cancer in this entire study population was 32.04%(223/696), deep fungal infections occur in sputum specimens 44.05% (200/454). The ratio of candida albicans was 86.99% (194/223) in the total fungi. It was demonstrated that older (≥65 years), use of antibiotics, low serum albumin concentrations (≤37.18 g /L), radiotherapy, surgery, low hemoglobin hyperlipidemia (≤93.67 g /L), long time of hospitalization (≥14 days) were apt to deep fungal infection and the ANN model consisted of the seven factors. The AUC of ANN model (0.829±0.019) was higher than that of LR model (0.756±0.021). CONCLUSIONS: The artificial neural network model with variables consisting of age, use of antibiotics, serum albumin concentrations, received radiotherapy, received surgery, hemoglobin, time of hospitalization should be useful for predicting the deep fungal infection in lung cancer.

The addition of S-1 to gemcitabine-based chemotherapy improves survival with increased toxicity for patients with advanced pancreatic cancer: combined meta-analysis of efficacy and safety profile.

PURPOSE: To investigate the efficiency and safety profile of the addition of S-1 to gemcitabine (GEM)-based chemotherapy for advanced pancreatic cancer (APC). METHODS: Computerized search was undertaken to identify randomized controlled trials of S-1 plus GEM versus GEM monotherapy in APC patients. The outcomes included overall survival (OS), progression-free survival (PFS), response rate, and toxicities. RESULTS: Five studies with 917 patients were included. Overall, there was a significant difference between the two regimens in terms of OS (HR=0.83, 95%CI=0.72-0.96, P=0.01), PFS (HR=0.64, 95%CI=0.56-0.74, P<0.0001), and overall response rate (ORR; RR=2.36, 95%CI=1.73-3.22, P<0.00001). Occurrence of grade 3/4 hematological toxicities (neutropenia, thrombocytopenia) and non-hematological toxicities (diarrhea, nausea/vomit, rush, stomatitis/mucositis) were significantly higher with GEM/S-1 treatment. CONCLUSIONS: This meta-analysis indicated a significant survival benefit with increased toxicity when S-1 was combined with GEM. GEM/S-1 might be an option of first-line chemotherapy for APC patients, at least in Asia.

Use of an artificial neural network to predict risk factors of nosocomial infection in lung cancer patients.

Statistical methods to analyze and predict the related risk factors of nosocomial infection in lung cancer patients are various, but the results are inconsistent. A total of 609 patients with lung cancer were enrolled to allow factor comparison using Student's t-test or the Mann-Whitney test or the Chi-square test. Variables that were significantly related to the presence of nosocomial infection were selected as candidates for input into the final ANN model. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. The prevalence of nosocomial infection from lung cancer in this entire study population was 20.1% (165/609), nosocomial infections occurring in sputum specimens (85.5%), followed by blood (6.73%), urine (6.0%) and pleural effusions (1.82%). It was shown that long term hospitalization (≥ 22 days, P= 0.000), poor clinical stage (IIIb and IV stage, P=0.002), older age (≥ 61 year old, P=0.023), and use the hormones were linked to nosocomial infection and the ANN model consisted of these four factors .The artificial neural network model with variables consisting of age, clinical stage, time of hospitalization, and use of hormones should be useful for predicting nosocomial infection in lung cancer cases.

Metal versus plastic stents for malignant biliary obstruction: an update meta-analysis.

BACKGROUND AND OBJECTIVE: The data on comparisons of stent patency, re-intervention rate and patient survival between metal and plastic stents in palliation of malignant biliary obstruction have never been pooled. We carry out a meta-analysis to summarise current evidence for clinical efficacy of metal and plastic stents in the treatment of malignant biliary obstruction. METHODS: A comprehensive search of several databases was conducted. A fixed-effects or random-effects model was used to pool data of all study endpoints. Sensitivity analysis and subgroup analysis (distal vs. hilar biliary obstruction) were also performed. RESULTS: Ten randomized clinical trials were identified. Compared with plastic stents, metal stents were associated with a significantly longer stent patency (HR=0.36; 95% CI: 0.28-0.47; I(2)=0%), fewer numbers of re-intervention (WMD=0.59; 95% CI: 0.28-0.90; I(2)=76.4%) and longer patient survival (HR=0.74; 95% CI: 0.64-0.85; I(2)=16.0%). These results were still significant by sensitivity analysis. All outcomes reached statistical significance except of the pooled WMD of number of re-intervention in the studies with hilar biliary obstruction. No publication bias was observed. CONCLUSIONS: Metal stents were associated with a significantly longer stent patency, lower re-intervention rate and longer patient survival in palliation of malignant biliary obstruction when compared to plastic stents.

Use of artificial neural network to predict esophageal varices in patients with HBV related cirrhosis.

BACKGROUND: Prediction of esophageal varices in cirrhotic patients by noninvasive methods is still unsatisfactory. OBJECTIVES: To evaluate the accuracy of an artificial neural network (ANN) in predicting varices in patients with HBV related cirrhosis. PATIENTS AND METHODS: An ANN was constructed with data taken from 197 patients with HBV related cirrhosis. The candidates for input nodes of the ANN were assessed by univariate analysis and sensitivity analysis. Five-fold cross validation was performed to avoid over-fitting. RESULTS: 14 variables were reduced by univariate and sensitivity analysis, and an ANN was developed with three variables (platelet count, spleen width and portal vein diameter). With a cutoff value of 0.5. The ANN model has a sensitivity of 96.5%, specificity of 60.4%, positive predictive value of 86.9%, negative predictive value of 86.5% and a diagnostic accuracy of 86.8% for the prediction of varices. CONCLUSIONS: An ANN may be useful for predicting presence of esophageal varices in patients with HBV related cirrhosis.

Endoscopic sphincterotomy plus endoprostheses in the treatment of large or multiple common bile duct stones.

BACKGROUND AND AIM: Little information is available on the outcomes of endoscopic sphincterotomy plus biliary stent placement without stone extraction as primary therapy at initial endoscopic retrograde cholangiopancreatography (ERCP) in the treatment of large or multiple common bile duct (CBD) stones. The aim of the present study was to study the effect of biliary stents and sphincterotomy as primary therapy for patients with choledocholithiasis. METHODS: Patients with large (≥20 mm) or multiple (≥3) CBD stones were retrospectively studied. The patients underwent endoscopic sphincterotomy and placement of plastic stents in the bile duct without stone extraction at the initial ERCP. Three or more months later, a second ERCP was carried out and stone removal was attempted. Differences in stone size and the largest CBD diameter before and after stenting were compared. Stone clearance and complications were also evaluated. RESULTS: 52 patients were enrolled. After a median of 124 days of biliary plastic stent placement the mean maximal stone diameter decreased from 16.6 mm to 10.0 mm (P < 0.01). The mean CBD diameter also decreased from 15.3 mm to 11.5 mm (P < 0.01). The total stone clearance at second ERCP was 94.2%, only 5.7% of which needed mechanical lithotripsy. COMPLICATIONS: pancreatitis in one (1.9%) at initial ERCP, cholangitis in two (3.8%) after 52 days and 84 days of placement of stent. No complications were recorded at second ERCP. CONCLUSIONS: Biliary plastic stents plus endoscopic sphincterotomy without stone extraction as primary therapy at initial ERCP is a safe and effective method in the management of large or multiple CBD stones.

Prediction of large esophageal varices in cirrhotic patients using classification and regression tree analysis.

OBJECTIVES: Recent guidelines recommend that all cirrhotic patients should undergo endoscopic screening for esophageal varices. That identifying cirrhotic patients with esophageal varices by noninvasive predictors would allow for the restriction of the performance of endoscopy to patients with a high risk of having varices. This study aimed to develop a decision model based on classification and regression tree analysis for the prediction of large esophageal varices in cirrhotic patients. METHODS: 309 cirrhotic patients (training sample, 187 patients; test sample 122 patients) were included. Within the training sample, the classification and regression tree analysis was used to identify predictors and prediction model of large esophageal varices. The prediction model was then further evaluated in the test sample and different Child-Pugh classes. RESULTS: The prevalence of large esophageal varices in cirrhotic patients was 50.8%. A tree model that was consisted of spleen width, portal vein diameter and prothrombin time was developed by classification and regression tree analysis achieved a diagnostic accuracy of 84% for prediction of large esophageal varices. When reconstructed into two groups, the rate of varices was 83.2% for high-risk group and 15.2% for low-risk group. Accuracy of the tree model was maintained in the test sample and different Child-Pugh classes. CONCLUSIONS: A decision tree model that consists of spleen width, portal vein diameter and prothrombin time may be useful for prediction of large esophageal varices in cirrhotic patients.

Prediction of large esophageal varices in cirrhotic patients using classification and regression tree analysis

OBJECTIVES: Recent guidelines recommend that all cirrhotic patients should undergo endoscopic screening for esophageal varices. That identifying cirrhotic patients with esophageal varices by noninvasive predictors would allow for the restriction of the performance of endoscopy to patients with a high risk of having varices. This study aimed to develop a decision model based on classification and regression tree analysis for the prediction of large esophageal varices in cirrhotic patients. METHODS: 309 cirrhotic patients (training sample, 187 patients; test sample 122 patients) were included. Within the training sample, the classification and regression tree analysis was used to identify predictors and prediction model of large esophageal varices. The prediction model was then further evaluated in the test sample and different Child-Pugh classes. RESULTS: The prevalence of large esophageal varices in cirrhotic patients was 50.8 percent. A tree model that was consisted of spleen width, portal vein diameter and prothrombin time was developed by classification and regression tree analysis achieved a diagnostic accuracy of 84 percent for prediction of large esophageal varices. When reconstructed into two groups, the rate of varices was 83.2 percent for high-risk group and 15.2 percent for low-risk group. Accuracy of the tree model was maintained in the test sample and different Child-Pugh classes. CONCLUSIONS: A decision tree model that consists of spleen width, portal vein diameter and prothrombin time may be useful for prediction of large esophageal varices in cirrhotic patients.

Predictors of esophageal varices in patients with HBV-related cirrhosis: a retrospective study.

BACKGROUND: All patients with liver cirrhosis are recommended to undergo an evaluation of esophageal varices (EV) to assess their risk of bleeding. Predicting the presence of EV through non-invasive means may reduce a large number of unnecessary endoscopies. This study was designed to develop a predictive model for varices in patients with Hepatitis B virus-related cirrhosis. METHODS: The retrospective analysis was performed in 146 patients with Hepatitis B virus-related cirrhosis. The data were assessed by univariate analysis and a multivariate logistic regression analysis. In addition, the receiver operating characteristic curves were also applied to calculate and compare the accuracy of the model and other single parameters for the diagnosis of esophageal varices. RESULTS: We found the prevalence of EV in patients with Hepatitis B virus-related cirrhosis to be 74.7%. In addition, platelet count, spleen width, portal vein diameter and platelet count/spleen width ratio were significantly associated with the presence of esophageal varices on univariate analysis. A multivariate analysis revealed that only the spleen width and portal vein diameter were independent risk factors. The area under the receiver operating characteristic curve of regression function (RF) model, which was composed of the spleen width and portal vein diameter, was higher than that of the platelet count. With a cut-off value of 0.3631, the RF model had an excellent sensitivity of 87.2% and an acceptable specificity of 59.5% with an overall accuracy of 80.1%. CONCLUSION: Our data suggest that portal vein diameter and spleen width rather than platelet count may predict the presence of varices in patients with Hepatitis B virus-related cirrhosis, and that the RF model may help physicians to identify patients who would most likely benefit from screenings for EV.

[Study on the value of Helieobacter pylori (H. pylori) stool antigen immunocard STAT in the diagnosis of H. pylori infection: a meta-analysis].

OBJECTIVE: To evaluate the accuracy of the Helicobacter pylori (H. pylori) stool antigen (HpSA) test and ImmunoCard STAT HpSA in the primary diagnosis of H. pylori infection. METHODS: We searched Medline (1966-2007.4), EMbase (1985-2007.4), Chinese Journals Full-text Database (CJFD) (1994-2007) etc. to identify Clinical Trials of ImmunoCard STAT HpSA for the primary diagnosis of H. pylori infection. Meta-analysis was conducted using the method recommended by The Cochrane Collaboration Center. RESULTS: Eleven trials were included with pooled sensitivity, pooled specificity as 0.93 (95% CI: 0.91-0.94), 0.93 (95% CI: 0.90- 0.95), respectively. Pooled positive likelihood ratio and pooled negative likelihood ratio were 12.01 (95% CI: 8.90-16.19), 0.08 (95% CI: 0.07-0.11), respectively with the pooled diagnostic odds ratio as 160.14(95% CI :100.43-255.34). The area under the summary receiver operating characteristic (SROC) was 0.974 +/- 0.005. CONCLUSION: ImmunoCard STAT HpSA appeared to be an accurate non-invasive method for the initial diagnosis of H. pylori infection.