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您的检索式：作者名="Simon Wandel"
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| 1 | A Novel BioMarker Panel to Rule Out Acute Appendicitis in Pediatric Patients with Abdominal Pain显示文摘 | David S. Huckins Harold K. Simon Karen Copeland David M. Spiro Joseph Gogain Michael Wandell | 2013 | American Journal of Emergency Medicine2013，，： | 1 |
| 2 | 生物可降解多聚体biolimus洗脱支架与不可降解多聚体西罗莫司洗脱支架用于冠状动脉血运乖建(LEADERS):一项随机非劣效性试验显示文摘背景初步研究表明,从生物可降解多聚体中释出biolimus(西罗莫司类似物)的一种新型洗脱支架有望获得良好的临床效果。本研究比较了biolimus洗脱支架(具有生物可降解多聚体)和西罗莫司洗脱支架(具有不可降解多聚体)的安全性和疗效。方法作者在欧洲的10个研究中心进行了一项多中心、评估音设盲的非劣效性研究。1707例年龄≥18岁、患有慢性稳定性冠心病或急性冠状动脉综合征的患者经计算机产生的一组随机分配序列进行集中随机分组,分别接受biolimus,先脱支架(n=857)或西罗莫司洗脱支架(n=850)植入主要终点是在9个月内心脏性死亡、心肌梗死或具有临床指征的靶血管血运重建(TVR)的复合事件、采用意向治疗分析法对结果进行分析、随机抽取427例患者接受血管造影随访,主要结果指标为9个月时史巢内直径狭窄的百分比。本临床试验在ClinicalTrials.gov网站上注册,注册号为NCT00389220。结果对研究中所有随机分组的患者进行了分析。9个月时biolimus洗脱支架组在主要终点指标上并不劣于西罗莫司洗脱支架组[79例(9%)vs89例(11%),RR0.88,95%CI0.64~1.19,非劣效P=0.003,优势P=0.39]。心脏性死亡发生率[14例(1.6%)vs21例(2.5%),优势P=0.22]、心肌梗死发生率[49例(5.7%)vs39例(4.6%),P=0.30]以及具有临床指征的TVR实施率[38例(4.4%)vs547例(5.5%),P=0.29]在两组中相似.Biolimus洗脱支架组有168例(79%)患者的资料可用于血管造影随访,西罗莫司洗脱支架组有167例(78%)Biolimus洗脱支架组在支架内直径狭窄百分比上不劣于西罗莫司洗脱支架组(20.9%vs 23.3%,差值-2.2%.95%CI-6.0%~1.6%,非劣效P=0.001,优势P=0.26)、结论研究结果表明,从生物可降解多聚体中释出biolimus的洗脱支架安全有效,在对慢性稳定性冠心病或急性冠状动脉综合征患者进行治疗时,它可以取代从不可降解多聚体中释出西罗莫司的洗脱支架。 | Stephan Windecker Patrick W Serruys Simon Wandel Pawel Buszman Stanislaw Trznadel Axel Linke Karsten Lenk Thomas Ischinger Volker Klauss Franz Eberli Roberto Corti William Wijns Marie-Claude Morice Carlo di Mario Simon Davies Robert-Jan van Geuns Pedro Eerdmans Gerrit- Anne van Es Bernhard Meier Peter Jüni 刘少伟(译) | 2009 | 世界临床医学2009，3，3： | 0 |
| 3 | Machine learning-based decision tool for selecting patients with idiopathic acute pancreatitis for endosonography to exclude a biliary aetiology显示文摘BACKGROUND Biliary microlithiasis/sludge is detected in approximately 30%of patients with idiopathic acute pancreatitis(IAP).As recurrent biliary pancreatitis can be prevented,the underlying aetiology of IAP should be established.AIM To develop a machine learning(ML)based decision tool for the use of endosonography(EUS)in pancreatitis patients to detect sludge and microlithiasis.METHODS We retrospectively used routinely recorded clinical and laboratory parameters of 218 consecutive patients with confirmed AP admitted to our tertiary care hospital between 2015 and 2020.Patients who did not receive EUS as part of the diagnostic work-up and whose pancreatitis episode could be adequately explained by other causes than biliary sludge and microlithiasis were excluded.We trained supervised ML classifiers using H_(2)O.ai automatically selecting the best suitable predictor model to predict microlithiasis/sludge.The predictor model was further validated in two independent retrospective cohorts from two tertiary care centers(117 patients).RESULTS Twenty-eight categorized patients’variables recorded at admission were identified to compute the predictor model with an accuracy of 0.84[95%confidence interval(CI):0.791-0.9185],positive predictive value of 0.84,and negative predictive value of 0.80 in the identification cohort(218 patients).In the validation cohort,the robustness of the prediction model was confirmed with an accuracy of 0.76(95%CI:0.673-0.8347),positive predictive value of 0.76,and negative predictive value of 0.78(117 patients).CONCLUSION We present a robust and validated ML-based predictor model consisting of routinely recorded parameters at admission that can predict biliary sludge and microlithiasis as the cause of AP. | Simon Sirtl Michal Żorniak Eric Hohmann Georg Beyer Miriam Dibos Annika Wandel Veit Phillip Christoph Ammer-Herrmenau Albrecht Neesse Christian Schulz Jörg Schirra Julia Mayerle Ujjwal Mukund Mahajan | 2023 | World Journal of Gastroenterology2023，29，35： | 0 |
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