We report a patient who underwent an operation for an infectious abdominal aortic aneurysm 10 months after intravesical bacillus Calmette-Guerin therapy. A 68-year-old man had previous gastrectomy for early gastric cancer and intravesical BCG therapy for early stage urinary bladder cancer. His follow up CT scan revealed an abdominal aorta pseudoaneurysm. We performed aneurysmectomy, omentopexy and bilateral axillo-femoral bypass. The culture of an abscess in the aneurysm identified Mycobacterium bovis. The patients improved clinically with antituberculosis agents after operation. Intravesical bacillus Calmette-Guerin therapy is effective in the treatment of early stage urinary bladder cancer. Although this treatment is generally considered safe, serious complications including vascular complications have been reported.

The purpose of this study is to considerate the prediction formula for marathon time based on 20-m shuttle run test and training indexes in recreational runners. 100 male and 111 female recreational runners who have experienced one or more marathon races were measured. Each participant was measured with regard to physical characteristics, 20-m shuttle run test, and answered questionnaires about his/her training (monthly running distance, frequency of training, and years of experience of running training). Moreover, participants self-reported their best marathon time. Additionally, to examine the validity of the prediction formula, 14 male and 13 female recreational runners were measured using the 20-m shuttle run test and they answered the questionnaires about his/her training. The marathon time was significantly correlated with the participant’s BMI, the times of 20-m shuttle run test, the monthly running distance, the frequency of training and the years of experience of running training for both male and female runners. Subsequently, multiple regression analysis generated the prediction model for marathon time by the measurement items. Furthermore, in the examination of the validity of the prediction formula, predicted marathon time was significantly highly correlated with measured marathon time. This study suggested that the marathon time can be predicted by the 20-m shuttle run test, the monthly running distance, and the years of experience of running training and the predicted marathon time may be useful for the marathon race and training in recreational runners.