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- Dyson, Kylie, et al.
(author)
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International variation in survival after out-of-hospital cardiac arrest : A validation study of the Utstein template.
- 2019
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In: Resuscitation. - : Elsevier BV. - 0300-9572 .- 1873-1570. ; 138, s. 168-181
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Journal article (peer-reviewed)abstract
- INTRODUCTION: Out-of-hospital cardiac arrest (OHCA) survival varies greatly between communities. The Utstein template was developed and promulgated to improve the comparability of OHCA outcome reports, but it has undergone limited empiric validation. We sought to assess how much of the variation in OHCA survival between emergency medical services (EMS) across the globe is explained by differences in the Utstein factors. We also assessed how accurately the Utstein factors predict OHCA survival.METHODS: We performed a retrospective analysis of patient-level prospectively collected data from 12 OHCA registries from 12 countries for the period 1 Jan 2006 through 31 Dec 2011. We used generalized linear mixed models to examine the variation in survival between EMS agencies (n=232).RESULTS: Twelve registries contributed 86,759 cases. Patient arrest characteristics, EMS treatment and patient outcomes varied across registries. Overall survival to hospital discharge was 10% (range, 6% to 22%). Overall survival with Cerebral Performance Category of 1 or 2 (available for 8/12 registries) was 8% (range, 2% to 20%). The area-under-the-curve for the Utstein model was 0.85 (Wald CI: 0.85-0.85). The Utstein factors explained 51% of the EMS agency variation in OHCA survival.CONCLUSIONS: The Utstein factors explained 51% of the variation in survival to hospital discharge among multiple large geographically separate EMS agencies. This suggests that quality improvement and public health efforts should continue to target modifiable Utstein factors to improve OHCA survival. Further study is required to identify the reasons for the variation that is incompletely understood.
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| 2. |
- Twigger, S, et al.
(author)
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Rat Genome Database : A comparative genomics platform for rat mouse and human.
- 2001
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In: Journal of Molecular Medicine. - : Springer. - 0946-2716 .- 1432-1440. ; , s. B30-
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Conference paper (peer-reviewed)abstract
- The Rat Genome Database (RGD) is a NIH funded project who’s stated mission is “to collect, consolidate, and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community.” In a collaboration between the Medical College of Wisconsin, the Jackson Lab, the National Center for Biotechnology and Information and the Genetics Lundberg Laboratory, Gothenburg, Sweden, RGD has been created to meet these stated aims. The primary focus of RGD is to aid Rat researchers in their work studying the rat as a model organism for human disease. To support these studies we have integrated a large amount of rat genetic and genomic resources in RGD and these are constantly being expanded through ongoing literature curation. One of the major features of RGD version 1.1, released in January of this year, is incorporation of QTL data to facilitate physiological genomics studies relating disease with the genome. In addition, a dynamic sequence-based homology tool is in final testing which will enable Rat, Mouse and Human researchers to view mapped genes and sequences and their locations in the other two organisms. We hope to release this tool in the second quarter of 2001. This will facilitate the application of results in one species to experiments in another species. In collaboration with the Mouse Genome Database and NCBI, close links are being created between RGD and MGD, LocusLink and UniGene to increase access to each set of data. To support its other general functions RGD has a variety of tools available for the rat researcher, plus ones that are equally useful to researchers working in other organisms and a sampling of these tools will be presented. Thus RGD is not only a valuable resource for those working with the rat but also for researchers in other model organisms wishing to harness the existing genetic and physiological data available in the rat to complement their own work.
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