Αρχειοθήκη ιστολογίου

Σάββατο 1 Δεκεμβρίου 2018

Development of a predictive model using endoscopic features for gastric cytomegalovirus infection in renal transplant patients

Background Cytomegalovirus (CMV) is a common viral pathogen in transplant patients that often targets the stomach. However, the endoscopic characteristics of gastric CMV infection are not well established. We aimed to develop a predictive model using endoscopic findings for gastric CMV infection in renal transplant patients. Methods A retrospective study of 287 kidney transplant recipients who underwent endoscopy with biopsy for suspected CMV infection from Jan. 2006 to Nov. 2015 at a tertiary referral hospital was performed. CMV infection was defined based on inclusion bodies in hematoxylin and eosin and immunohistochemical staining. Endoscopic and clinical parameters related with gastric CMV infection were selected by univariate analyses. Multivariate logistic regression was used to create a predictive model from β-coefficients. Results CMV was present in 107 (37.7%) of the 287 patients. Multivariate analysis found age (odds ratio (OR) 0.964, 95% confidence interval (CI) 0.938-0.99, p=0.008), erosions with surface exudate (OR 5.34, 95% CI 2.687-10.612, p

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