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This study describes a simple, widely available, inexpensive model predicting CDI severity and mortality to identify at-risk patients at the time of admission.

fThe role of leptin in the mucosal immune response to Clostridium difficile colitis, a leading cause of nosocomial infection, was studied in humans and in a murine model. Previously, a mutation in the receptor for leptin (LEPR) was shown to be associated with susceptibility to infectious colitis and liver abscess due to Entamoeba histolytica as well as to bacterial peritonitis. Here we discovered that European Americans homozygous for the same LEPR Q223R mutation (rs1137101), known to result in decreased STAT3 signaling, were at increased risk of C. difficile infection (odds ratio, 3.03; P ‫؍‬ 0.015). The mechanism of increased susceptibility was studied in a murine model. Mice lacking a functional leptin receptor (db/db) had decreased clearance of C. difficile from the gut lumen and diminished inflammation. Mutation of tyrosine 1138 in the intracellular domain of LepRb that mediates signaling through the STAT3/SOCS3 pathway also resulted in decreased mucosal chemokine and cell recruitment. Collectively, these data support a protective mucosal immune function for leptin in C. difficile colitis partially mediated by a leptin-STAT3 inflammatory pathway that is defective in the LEPR Q223R mutation. Identification of the role of leptin in protection from C. difficile offers the potential for host-directed therapy and demonstrates a connection between metabolism and immunity.

The purpose of this project was to demonstrate how a hospital clinical database can be utilized to calculate individual nursing unit activities that affect nurses' workload. While research has established that staffing is associated with patient safety, few studies have examined ways to measure nurse workload and its impact on patient safety. The widely used midnight census does not account for the number of patients who occupy a bed in a 24-hour period. In this study, a hospital clinical data repository was used to calculate workload measures such as total treated patients, midnight census, and admission, discharges, and transfers, as well as a unit activity index. Unit activity indexes for intensive care and medical-surgical units were compared over time, by shift, day of week, and month. Admission, discharges, and transfers varied according to unit type. During 1994 to 2006, unit activity index increased. Fluctuations in unit activity index were noted according to shift, day of week, and month. Hospital clinical data repositories can be used to calculate workload measures, and these measures should be incorporated with other traditional measures in making staffing decisions.