Small bowel transit and gastric emptying after biliodigestive anastomosis using the uncut jejunal loop

BACKGROUND: The Roux-en-Y loop is an effective procedure for biliodigestive drainage. However, up to 15% of patients suffer from postoperative cholangitis or blind loop syndrome. A new technique to prevent motility abnormalities has been developed. METHODS: Male Lewis rats were used to compare gastric emptying and transit in the small bowel after either a standard Roux-en-Y anastomosis or a new biliodigestive anastomosis technique which involves creating an "uncut" jejunal loop with luminal occlusion. Unoperated rats served as controls. (99)Technetium HIDA and (111)Indium-tagged amberlite were respectively used to investigate small bowel transit and gastric emptying. RESULTS: Histopathology showed distinctive abnormalities only in the liver of conventional Roux-en-Y animals. No recanalization of the obliterated gut lumen occurred in uncut Roux animals. Distribution of (99)Tc-HIDA and (111)In showed were similar in both groups. Gastric emptying is slowed in both groups. CONCLUSIONS: The uncut proximal jejunum loop is a good alternative to the conventional Roux-en-Y loop and showed preserved small bowel motility and adequate jejunal transit. Gastric emptying is slowed in both groups.     

Acute Chorioamnionitis at Term Caused by the Oral Pathogen Fusobacterium Nucleatum

Fusobacterium nucleatum is an oral pathogen associated with preterm birth. Presented is a case of acute chorioamnionitis that progressed to maternal sepsis in a term patient with intact membranes. In addition to its role in periodontal disease and preterm birth, our case demonstrates that intrauterine infection with Fusobacterium nucleatum can result in severe disease at term.     

Economic Analysis of a Multi-Site Prevention Program: Assessment of Program Costs and Characterizing Site-level Variability

Programmatic cost analyses of preventive interventions commonly have a number of methodological difficulties. To determine the mean total costs and properly characterize variability, one often has to deal with small sample sizes, skewed distributions, and especially missing data. Standard approaches for dealing with missing data such as multiple imputation may suffer from a small sample size, a lack of appropriate covariates, or too few details around the method used to handle the missing data. In this study, we estimate total programmatic costs for a prevention trial evaluating the Strong African American Families-Teen program. This intervention focuses on the prevention of substance abuse and risky sexual behavior. To account for missing data in the assessment of programmatic costs we compare multiple imputation to probabilistic sensitivity analysis. The latter approach uses collected cost data to create a distribution around each input parameter. We found that with the multiple imputation approach, the mean (95 % confidence interval) incremental difference was $2,149 ($397, $3,901). With the probabilistic sensitivity analysis approach, the incremental difference was $2,583 ($778, $4,346). Although the true cost of the program is unknown, probabilistic sensitivity analysis may be a more viable alternative for capturing variability in estimates of programmatic costs when dealing with missing data, particularly with small sample sizes and the lack of strong predictor variables. Further, the larger standard errors produced by the probabilistic sensitivity analysis method may signal its ability to capture more of the variability in the data, thus better informing policymakers on the potentially true cost of the intervention.