Automated system to identify Clostridium difficile infection among hospitalised patients.

The purpose of this study was to assess whether data on stool frequency collected electronically could identify patients at high risk for Clostridium difficile infection (CDI). All patients with reports of diarrhoea were assessed prospectively for number of stools per day and number of diarrhoea days. C. difficile testing was requested independently from study investigators. Number of days with diarrhoea and maximum number of unformed stools was assessed as a CDI predictor. A total of 605 patients were identified with active diarrhoea of whom 64 (10.6%) were diagnosed with CDI. In univariate analysis, the maximum number of stools and number of diarrhoea days was associated with increased risk of CDI. Compared to patients with three diarrhoea stools per day (CDI incidence: 6.3%), CDI increased to 13.4% in patients with four or more diarrhoea stools per day [odds ratio (OR): 2.3; 95% confidence interval (CI): 1.3-4.2; P=0.0054]. Compared to patients with one day of diarrhoea (CDI incidence: 6.3%), CDI increased to 17.4% in patients with two diarrhoea days (OR: 3.1; 95% CI: 1.7-5.6) and to 27.1% in patients with three or more diarrhoea days (OR: 5.5; 95% CI: 2.6-11.7). These results were validated using logistic regression with number of days with diarrhoea identified as the most important predictor. Using an electronic data capture technique, number of days of diarrhoea and maximum number of diarrhoea stools in a 24h time period were able to identify a patient population at high risk for CDI.

A clinical risk index for Clostridium difficile infection in hospitalised patients receiving broad-spectrum antibiotics.

Identification of a population at high risk for Clostridium difficile infection (CDI) would enable CDI prevention strategies to be designed. The purpose of this study was to create a clinical risk index that would predict those at risk for CDI. A CDI risk index was therefore developed, based on a cohort of hospital patients given broad-spectrum antibiotics, and divided into a development and validation cohort. Logistic regression equations helped identify significant predictors of CDI. A scoring algorithm for CDI risk was created using identified risk factors and collapsed to create four categories of CDI risk. The area under the receiver operating characteristic (aROC) curve was used to measure goodness-of-fit. Among 54 226 patients, 392 tested positive for C. difficile. Age 50-80 years [odds ratio (OR: 0.5; P<0.0116)], age >80 years (OR: 2.5; P<0.0001), haemodialysis (OR: 1.5; P=0.0227), non-surgical admission (OR: 2.2; P<0.0001) and increasing length of stay in the intensive care unit (OR: 2.1; P<0.0001) were significantly associated with CDI. A simple risk index using presence of significant variables was significantly associated with increasing risk for CDI in both development (OR: 3.57; P<0.001; aROC: 0.733) and validation (OR: 3.31; P<0.001; aROC: 0.712) cohorts. An OR-derived risk index did not perform as well as the simple risk index. This easily implemented risk index should allow stratification of patients into risk group categories for development of CDI and help fashion preventive strategies.

Interrupted time series analysis of vancomycin compared to cefuroxime for surgical prophylaxis in patients undergoing cardiac surgery.

The increased incidence of methicillin-resistant Staphylococcus aureus (MRSA), the emergence of community-acquired MRSA, and the continued high incidence of methicillin-resistant Staphylococcus epidermidis have required that certain institutions choose vancomycin for surgical prophylaxis. However, the data supporting the use of vancomycin for surgical prophylaxis are controversial. The purpose of this project was to assess the effect of the change from cefuroxime to vancomycin for surgical site infection (SSI) rates in patients undergoing coronary artery bypass graft (CABG) surgery. The monthly rates of SSIs from 2001 to 2005 were analyzed before and after a change from cefuroxime to vancomycin antibiotic prophylaxis in patients undergoing CABG by using an interrupted time series analysis. Patients who underwent cardiac valve replacement surgery and who had received vancomycin during the entire study period were used as a comparator group. A total of 6,465 patients underwent CABG surgery (n = 4,239) or valve replacement surgery (n = 2,226) during the study period. On average, the monthly SSI incidence rate in patients undergoing CABG surgery decreased by 2.1 cases per 100 surgeries after the switch from cefuroxime to vancomycin (P = 0.042) when patients undergoing valve replacement were used as a comparator group. The change in SSI rates was associated with a decrease in the incidence of infections caused by coagulase-negative Staphylococcus and MRSA isolates, with little change in the incidence of SSIs due to other gram-positive organisms or gram-negative organisms. In institutions with a high incidence of methicillin-resistant Staphylococcus species, this study provides evidence for the clinical efficacy of vancomycin prophylaxis for the prevention of postoperative SSIs in patients undergoing CABG surgery.