Eosinophilic gastroenteritis (EGE) is an uncommon disease and has rarely been reported in association with connective tissue diseases as systemic lupus erythematosus. We report a 36-year-old woman who developed recurrent episodes of abdominal pain, nausea, vomiting and melena. Complete blood counts showed elevated eosinophil counts. Ultrasound and CT-scan images studies were significant for bowel wall thickening and ascites. The patient underwent an exploratory laparotomy with a mesenteric biopsy and appendectomy that showed eosinophil infiltration in the muscularis propria, establishing the diagnosis of EGE. The patient developed pleural effusions, with laboratory studies showing haemolytic anaemia, thrombocytopenia, positive antinuclear antibody and anticardiolipin antibodies. The patient was treated with high-dose systemic corticosteroid therapy, with successful resolution of symptoms. Three months later, she developed a new episode of abdominal pain defined as intestinal pseudo-obstruction that was resolved without complications.
BackgroundThe delay in referral of patients with suspicion of Undifferentiated Inflammatory Arthritis (UIA), especially the Rheumatoid Arthritis (RA), from the primary care physician (PCP) to the Rheumatologist prevents diagnosing and treatment in a timely manner. Early diagnosis and treatment decreases progression and permanent joint damage. Several strategies have been proposed to improve the time to referral of patients with UIA, however there is none for early RA in specific.ObjectivesWe present a pilot study for the use of a weighted construct format for the improvement of the time to referral of patients with suspicion of early RA.MethodsSince June 2005, in clinics and hospitals, PCPs were trained for the use of the weighted construct format tool. Adult patients with less than 1year of symptoms were considered for the referral. The criteria for reference of suspicion of early RA are shown in Table 1. The patient referral was made through the counter-reference system, including the complete format and laboratory results. The patient's appointment was given within 15 business days. Once the patients were evaluated and studied in the Department of Rheumatology, they were classified with RA according to 2010 ACR/EULAR criteria when was available this criteria classification. For the demographic variables, we used descriptive and inferential statistics and for the format validation we verified the reliability, and validity of the construct and criterion tool.ResultsBetween July 2005 and July 2015, 298 patients were referred to our clinic. The average referral time in the first year (2005–2006) was 34.3±20.4 days, maintaining an average of 32.1±16.8 days until 2015. There was a reduction of 74% of referral time compared to a historical reference (mean time of referral was 127.4±51.8 days, in 122 patients). 182 (62%) patients filled out the 2010 ACR/EULAR criteria. The referral format for early RA had a Cronbach alpha of 0.49, Sensitivity 85.1%, Specificity 93.5% and PPV 92.2%. The correlation between patients with early RA and the 2010 ACR/EULAR criteria was 0.765 with a p<0.000.ConclusionsIn this pilot study, we observed that the construct had a suitable sensitivity, specificity and PPV for a referral format. Therefore, on suspicion of early RA the referral format could be useful as a simple clinical tool for the timely referral to the Rheumatologist. On the other hand, the program implementation allowed the reduction in the referral time substantially. To implement the use of this tool in the daily clinical practice it needs to be validated with an open population and an adequate sample sizeReferences Emery P,Breedveld F C,Dougados M,Kalden J R,Schiff M H,Smolen J S. Early referral recommendation for newly diagnosed rheumatoid arthritis:evidence based development of a clinical guide. Ann Rheum Dis 2002;61:290–297.Villeneuve E,Nam JL,Bell MJ,Deighton CM,Felson DT, Et al, A systematic literature review of strategies promoting early referral and reducing delays in the diagnosis and management of inflammatory arthri...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.