Comparison of risk scoring systems for patients presenting with upper gastrointestinal bleeding: international multicentre prospective study

Objective: To compare the predictive accuracy and clinical utility of five risk scoring systems in the assessment of patients with upper gastrointestinal bleeding. Design: International multicentre prospective study. Setting: Six large hospitals in Europe, North America, Asia, and Oceania. Participants: 3012 consecutive patients presenting over 12 months with upper gastrointestinal bleeding. Main outcome measures: Comparison of pre-endoscopy scores (admission Rockall, AIMS65, and Glasgow Blatchford) and post-endoscopy scores (full Rockall and PNED) for their ability to predict predefined clinical endpoints: a composite endpoint (transfusion, endoscopic treatment, interventional radiology, surgery, or 30 day mortality), endoscopic treatment, 30 day mortality, rebleeding, and length of hospital stay. Optimum score thresholds to identify low risk and high risk patients were determined. Results: The Glasgow Blatchford score was best (area under the receiver operating characteristic curve (AUROC) 0.86) at predicting intervention or death compared with the full Rockall score (0.70), PNED score (0.69), admission Rockall score (0.66, and AIMS65 score (0.68) (all P<0.001). A Glasgow Blatchford score of ≤1 was the optimum threshold to predict survival without intervention (sensitivity 98.6%, specificity 34.6%). The Glasgow Blatchford score was better at predicting endoscopic treatment (AUROC 0.75) than the AIMS65 (0.62) and admission Rockall scores (0.61) (both P<0.001). A Glasgow Blatchford score of ≥7 was the optimum threshold to predict endoscopic treatment (sensitivity 80%, specificity 57%). The PNED (AUROC 0.77) and AIMS65 scores (0.77) were best at predicting mortality, with both superior to admission Rockall score (0.72) and Glasgow Blatchford score (0.64; P<0.001). Score thresholds of ≥4 for PNED, ≥2 for AIMS65, ≥4 for admission Rockall, and ≥5 for full Rockall were optimal at predicting death, with sensitivities of 65.8-78.6% and specificities of 65.0-65.3%. No score was helpful at predicting rebleeding or length of stay. Conclusions: The Glasgow Blatchford score has high accuracy at predicting need for hospital based intervention or death. Scores of ≤1 appear the optimum threshold for directing patients to outpatient management. AUROCs of scores for the other endpoints are less than 0.80, therefore their clinical utility for these outcomes seems to be limited. Trial registration: Current Controlled Trials ISRCTN16235737

International prospective observational study of upper gastrointestinal haemorrhage: does weekend admission affect outcome?

Introduction: Out of hours admissions have higher mortality for many conditions but upper gastrointestinal haemorrhage studies have produced variable outcomes. Methods: Prospective study of 12 months consecutive admissions of upper gastrointestinal haemorrhage from four international high volume centres. Admission period (weekdays, weeknights or weekends), demographics, haemodynamic parameters, laboratory results, endoscopy findings, further procedures and 30-day mortality were recorded. Five upper gastrointestinal haemorrhage risk scores were calculated. Results: 2118 patients, 60% male, median age 66 years were studied. Compared with patients presenting on weekdays, patients presenting at weekends had no significant differences in comorbidity, pulse, systolic BP, risk scores, frequency of peptic ulcers or varices. Those presenting on weekdays had lower haemoglobin (p = 0.007) and were more likely to have a normal endoscopy (p < 0.01). Time to endoscopy was less for weeknight presentation (p = 0.001). Sixty-seven per cent of those presenting on weekdays, 75% on weeknights and 60% at weekends had endoscopy within 24 h. Transfusion requirements, need for endoscopic therapy or surgery/embolization, rebleeding rates (6.1%) and mortality (7.2%) did not differ with presentation time. Conclusion: This multi-centre international study in large centres found no difference in demographics, comorbidity or haemodynamic stability and no increase in mortality for patients presenting with upper gastrointestinal haemorrhage out of hours

A web recommendation technique based on probabilistic latent semantic analysis

Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of click-stream data will lead to capture usage pattern information. Nowadays Web usage mining technique has become one of most widely used methods for Web recommendation, which customizes Web content to user-preferred style. Traditional techniques of Web usage mining, such as Web user session or Web page clustering, association rule and frequent navigational path mining can only discover usage pattern explicitly. They, however, cannot reveal the underlying navigational activities and identify the latent relationships that are associated with the patterns among Web users as well as Web pages. In this work, we propose a Web recommendation framework incorporating Web usage mining technique based on Probabilistic Latent Semantic Analysis (PLSA) model. The main advantages of this method are, not only to discover usage-based access pattern, but also to reveal the underlying latent factor as well. With the discovered user access pattern, we then present user more interested content via collaborative recommendation. To validate the effectiveness of proposed approach, we conduct experiments on real world datasets and make comparisons with some existing traditional techniques. The preliminary experimental results demonstrate the usability of the proposed approach