Safety Data Analysis to Evaluate Highway Alignment Consistency

2013 ◽  
Vol 2349 (1) ◽  
pp. 121-128 ◽  
Author(s):  
Gianluca Dell'Acqua ◽  
Mariarosaria Busiello ◽  
Francesca Russo
2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 4632-4632
Author(s):  
John Bissler ◽  
Christopher Kingswood ◽  
B. A. Zonnenberg ◽  
Michael Frost ◽  
Elena Belousova ◽  
...  

4632 Background: EXIST-2 (NCT00790400) is a randomized, double-blind, placebo-controlled, phase 3 trial assessing the efficacy and safety of everolimus, an oral mTOR inhibitor, for treating AML in patients with TSC or sLAM. We have previously reported that everolimus resulted in a significantly higher AML response rate vs placebo (41.8% vs 0%; 95% CI: 23.5–58.4; p<0.0001) with a consistent safety profile (Bissler et al. J Am Soc Nephrol. 22, 2011, Abstract LB-PO3159). Here we present a 90-day safety update. Methods: 118 eligible patients were randomized 2:1 to receive everolimus 10 mg daily (n=79) or placebo (n=39). The primary efficacy endpoint was AML response rate (proportion of patients with best overall AML response status of “response”). Original cut-off date for data analysis was 30 Jun 2011. An updated analysis of the safety data for the safety set (all patients receiving ≥1 dose of double-blind study drug with a valid post-baseline assessment) to 14 Oct 2011 are presented here. Results: As of 14 Oct 2011, median treatment duration was 48.1 and 45.0 weeks for everolimus and placebo arms, respectively. Discontinuations in the double-blind period were the same in the everolimus arm as the initial analysis, but had increased by 4 patients in the placebo arm since initial analysis (3 due to disease progression, 1 withdrew consent). The majority of adverse events (AEs) continued to be grade 1 or 2; the incidence of serious AEs was slightly higher than initially reported, particularly in the placebo arm (everolimus 20.3%, placebo 23.1%). AE incidence leading to discontinuation was the same as initially reported (everolimus 3.8%, placebo 10.3%). In the updated data, 3 additional everolimus patients required dose interruption or reduction due to AEs; dose reduction/interruption remained more common in the everolimus arm (51.9% vs. 20.5%). Conclusions: Overall, the 90-day updated safety data analysis from the EXIST-2 trial has not revealed any additional safety concerns. No other patients receiving everolimus withdrew for any reason, whereas 3 more patients receiving placebo withdrew due to disease progression.


2015 ◽  
Vol 23 (1) ◽  
pp. 169-179 ◽  
Author(s):  
Cintia Monteiro ◽  
Ariane Ferreira Machado Avelar ◽  
Mavilde da Luz Gonçalves Pedreira

OBJECTIVES: to identify characteristics related to the interruption of nurses in professional practice, as well as to assess the implications of interruptions for patient safety.METHOD: integrative literature review. The following databases were searched: Pubmed/Medline, LILACS, SciELO and Cochrane Library, using the descriptors interruptions and patient safety. An initial date was not established, but the final date was December 31, 2013. A total of 29 papers met the inclusion criteria.RESULTS: all the papers included describe interruptions as a harmful factor for patient safety. Data analysis revealed three relevant categories: characteristics of interruptions, implications for patient safety, and interventions to minimize interruptions.CONCLUSION: interruptions favor the occurrence of errors in the health field. Therefore, there is a need for further studies to understand such a phenomenon and its effects on clinical practice.


Author(s):  
Kenji Sasa ◽  
Daisuke Terada ◽  
Shigeaki Shiotani ◽  
Nobukazu Wakabayashi ◽  
Teruo Ohsawa

Numerical forecasts of weather and oceanography are increasingly common in the field of ship operations due to advances in computer science. However, in some situations, the accuracy of forecasts is too unreliable to ensure safe operations. In the current study, a nationwide questionnaire is used to determine the effectiveness of wave forecasts in enhancing navigation safety. Data analysis is also shown for two cases of failed forecasts in low-pressure weather systems near Japan in the winter. Finally, recommendations are made for improving wave forecasts from the viewpoint of ship operations.


Author(s):  
Ilyasu Anda ◽  
◽  
Isah Omeiza Rabiu ◽  
Enesi Femi Aminu

Author(s):  
Reima Suomi ◽  
Olli Sjöblom

This chapter introduces aviation safety data analysis as an important application area for data mining. In the beginning of the chapter, the reader is introduced to the basic concepts of data mining. After that, the field of aviation safety management is discussed, and in that connection data mining is identified as a key technology to study through flight incidents reports. Afterwards the test runs for four data mining products, for possible use in the Finnish civil aviation authority, are described in detail. However, before the testing of tools the preparation of the test data for the tools is described in detail. The chapter ends with conclusions that tell that even sophisticated data mining tools are just tools: they do not provide any automatic tools, but skilled users can use them for searching clues in the data.


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