Advertisement
Search for

Volume 7, Issue 11, Pages 1183-1188 (November 2009)


View previous. 26 of 41 View next.

Optimized Protocol for Diagnosis of Acute Ileitis

Elena GarridoCorresponding Author Informationemail address, Antonio L. Sanromán, Miguel A. Rodríguez–Gandía§, Miguel Rivero§, Ana Royuela, Víctor Moreira§, José María Milicua§

published online 23 July 2009.

Background & Aims

Suspected acute ileitis (AI) is a poorly defined clinical condition with multiple causes; its diagnostic protocol has not been standardized properly. We performed a prospective evaluation of the incidence and causes of AI to create a standard protocol for diagnosis.

Methods

The definition of AI included abdominal pain, diarrhea, fever, and at least 1 confirmatory imaging method (abdominal computed tomography scan or ultrasound) showing pathologic changes in the terminal ileum that indicated ileal inflammation. We studied all patients with a presumptive diagnosis of AI seen in the Emergency Room at the Ramón y Cajal Hospital in Madrid, from March 2005 to May 2007, according to a pre-established protocol. Sixty-six patients with primary AI were followed up for at least 6 months.

Results

An infectious cause was found in 33.3% of cases; the most frequently detected microorganism was Yersinia spp. A gynecologic condition was identified in 9.1% of cases initially diagnosed as AI, representing 13.95% of the cases among female patients. Crohn's disease was identified in 12.1% of patients. The diagnostic protocol led to negative results in 33.4% of the patients; 6.1% of patients did not complete the study. The initial diagnosis did not change among any of the patients during the follow-up period.

Conclusions

This protocol led to a definitive diagnosis of AI in more than 60% of potential cases. The most common cause was acute infection. About 10% of cases were of gynecologic origin and about 12% of patients presented with Crohn's disease.

 IBD Clinic, Ramón y Cajal Hospital, Madrid, Spain

§ Gastroenterology Department, Ramón y Cajal Hospital, Madrid

 IBDNet, Centro de Investigacin Biomedica en Red de Epidemiologa y Salud Publica (CIBERESP), Madrid, Spain

 Clinical Biostatistics Unit, Centro de Investigacin Biomedica en Red de Epidemiologa y Salud Publica (CIBERESP), Madrid, Spain

Corresponding Author InformationReprint requests Address requests for reprints to: Dr Elena Garrido, MD, Gastroenterology Department, Hospital Ramon y Cajal, Cra Colmenar K9.100, E28034 Madrid, Spain. fax: (34) 913368771

 Conflicts of interest The authors disclose no conflicts.

PII: S1542-3565(09)00670-3

doi:10.1016/j.cgh.2009.07.014


View previous. 26 of 41 View next.

Advertisement