This article reports two rare Crohn′s disease (CD) cases during infliximab maintenance treatment complicated with IgA vasculitis (IgAV) . Clinical characteristics, treatment, and pathogenesis of CD complicated with IgAV were discussed in details. Exploring the association between these two diseases is conducive to individualized treatment and improvement of patients′ prognosis.

This article reports a case of enteropathy-associated T-cell lymphoma (EATL) who was repeatedly misdiagnosed as Crohn′s disease (CD) . The article focuses on the differential diagnosis between EATL and other intestinal diseases, aiming to improve the understanding of this disease and reduce misdiagnosis and mistreatment.

This article reports two rare Crohn′s disease (CD) cases during infliximab maintenance treatment complicated with IgA vasculitis (IgAV) . Clinical characteristics, treatment, and pathogenesis of CD complicated with IgAV were discussed in details. Exploring the association between these two diseases is conducive to individualized treatment and improvement of patients′ prognosis.

This article reports a case of enteropathy-associated T-cell lymphoma (EATL) who was repeatedly misdiagnosed as Crohn′s disease (CD) . The article focuses on the differential diagnosis between EATL and other intestinal diseases, aiming to improve the understanding of this disease and reduce misdiagnosis and mistreatment.

OBJECTIVE:To strengthen application management of antibiotics in outpatients,promote rational use of antibiot-ics,and to provide reference for scientific management and decision-making in the hospital. METHODS:The proportion of outpa-tients receiving antibiotics in total outpatients was analyzed statistically during Jan. 2008-Jun. 2016. Utilization rate data of antibiot-ics in outpatients during 2008-2015 were used to establish Autoregressive integrated moving average model(ARIMA),and the data of the first half of 2016 was used to validate established model;the utilization rate trend of antibiotics in outpatients in the second half of 2016 was predicted. SPSS 20.0 statistical software was adopted for statistical analysis. RESULTS:Established ARIMA(2,1, 0)(2,1,0)12 model has higher fitting degree. There was a small difference between measured value and fitted value of utilization rate of antibiotics in outpatients in 2016. Average absolute error was 0.72%,and average relative error was 4.20%,within 95%confidence interval of fitted value. Dynamic trend of model predicted value was basically consistent with measured value. CONCLU-SIONS:ARIMA model simulates utilization rate trend of antibiotics in outpatients well,can be used for short-term prediction and dynamic analysis of utilization rate trend of antibiotics. However,for long-term prediction,various factors should be considered.