Background and Aims Given the paucity of population-based data on the association between inflammatory bowel diseases (IBD), celiac disease (CeD) and celiac autoimmunity (CeA) we aimed to study the associations in a nationwide study. Methods Utilizing health administrative data for all four health maintenance organizations in Israel, covering 98% of the population, we explored the prevalence of CeD in children and adults with IBD versus non-IBD matched controls. CeD was defined by three ICD-9 codes and CeA by positivity for tissue transglutaminase antibodies. Results In total, 34,375 IBD patients (56% Crohn's disease [CD] and 44% ulcerative colitis [UC]) were compared with 93,603 non-IBD controls. Among IBD patients, 319 (0.93%) had CeD versus 294 (0.31%) non-IBD controls (odds ratio [OR]=2.97 [95%CI 2.54-3.48]; p<0.001). CeA was identified in 575 (1.67%) IBD patients vs. 158 (0.17%) controls (OR=10.06 [95%CI 8.43-12], p<0.001). The prevalence of CeD was higher in pediatric-onset IBD (87/5,243 [1.66%]) than adult-onset IBD (232/29,132 [0.79%]; p<0.001). CD patients had a higher prevalence of CeD (229/19,264 [1.19%]) than UC patients (90/15,111 [0.56%]; OR=2.01 [95%CI 1.57-2.56]; p<0.001). The diagnosis of CeD preceded the diagnosis of IBD in 241/319 cases (76%). The time to treatment escalation was shorter in patients with both IBD and CeD than in patients with IBD without CeD (p=0.017). Conclusion CeD and CeA are more prevalent in IBD patients, especially in pediatric-onset IBD and in CD. The diagnosis of CeD usually precedes that of IBD. Having CeD is associated with more intensified treatment for IBD.

No abstract

Modern high-tech medical equipment requires precise temperature control and effective cooling, which allow medical equipment to be operated for longer periods and increased in availability of the equipment to patients. This paper presents the application of the L z -transform method to availability assessment of aging multi-state cooling system for MRI equipment. The cooling system consists of 4 principal subsystems: chillers, heat exchanger, pumps and electric board. The performance of the system and the sub-systems is measured by their produced cooling capacity. Heat exchanger and pumps are aging components. MRI cooling system is working under constant demand, which determines by the types of MRI scans, shared between several medical departments.Straightforward Markov method applied to solve this problem will require building of a system model with numerous numbers of states and solving a corresponding system of multiple differential equations. L z -transform method, which is used for calculation of the system availability for this cooling system, drastically simplified the solution.

No abstract

No abstract