Many factors have been associated with the risk of toxigenic C. difficile diarrhea (TCdD). This study derived and internally validated a multivariate model for estimating the risk of TCdD in patients with diarrhea using readily available clinical factors.

A random sample of 3,050 symptomatic emergency department or hospitalized patients undergoing testing for toxigenic C. difficile at a single teaching hospital between 2014 and 2018 was created. Unformed stool samples positive for both glutamate dehydrogenase antigen by enzyme immunoassay and tcdB gene by polymerase chain reaction were classified as TCdD positive. The TCdD Model was created using logistic regression and was modified to the TCdD Risk Score to facilitate its use.

8.1% of patients were TCdD positive. TCdD risk increased with abdominal pain (adjusted odds ratio 1.3; 95% CI, 1.0–1.8), previous C. difficile diarrhea (2.5, 1.1–6.1), and prior antibiotic exposure, especially when sampled in the emergency department (4.2, 2.5–7.0) versus the hospital (1.7, 1.3–2.3). TCdD risk also increased when testing occurred earlier during the hospitalization encounter, when age and white cell count increased concurrently, and with decreased eosinophil count. In internal validation, the TCdD Model had moderate discrimination (optimism-corrected C-statistic 0.65, 0.62–0.68) and good calibration (optimism-corrected Integrated Calibration Index [ICI] 0.017, 0.001–0.022). Performance decreased slightly for the TCdD Risk Score (C-statistic 0.63, 0.62–0.63; ICI 0.038, 0.004–0.038).

TCdD risk can be predicted using readily available clinical risk factors with modest accuracy.

Surgical site infections (SSIs) are common hospital-acquired infections. Tracking SSIs is important to monitor their incidence, and this process requires primary data collection. In this study, we derived and validated a method using health administrative data to predict the probability that a person who had surgery would develop an SSI within 30 days.

All patients enrolled in the National Surgical Quality Improvement Program (NSQIP) from 2 sites were linked to population-based administrative datasets in Ontario, Canada. We derived a multivariate model, stratified by surgical specialty, to determine the independent association of SSI status with patient and hospitalization covariates as well as physician claim codes. This SSI risk model was validated in 2 cohorts.

The derivation cohort included 5,359 patients with a 30-day SSI incidence of 6.0% (n=118). The SSI risk model predicted the probability that a person had an SSI based on 7 covariates: index hospitalization diagnostic score; physician claims score; emergency visit diagnostic score; operation duration; surgical service; and potential SSI codes. More than 90% of patients had predicted SSI risks lower than 10%. In the derivation group, model discrimination and calibration was excellent (C statistic, 0.912; Hosmer-Lemeshow [H-L] statistic, P=.47). In the 2 validation groups, performance decreased slightly (C statistics, 0.853 and 0.812; H-L statistics, 26.4 [P=.0009] and 8.0 [P=.42]), but low-risk patients were accurately identified.

Health administrative data can effectively identify postoperative patients with a very low risk of surgical site infection within 30 days of their procedure. Records of higher-risk patients can be reviewed to confirm SSI status.

Infect. Control Hosp. Epidemiol. 2016;37(4):455–465

To determine the outcomes of patients discharged from the emergency department (ED) with a bloodstream infection (BSI) and how these outcomes are influenced by antibiotic treatment.

We identified every BSI in adult patients discharged from our ED to the community between July 1, 2002, and March 31, 2011. The medical records of all cases were reviewed to determine antibiotic treatment in the ED and at discharge. Microorganism sensitivities were used to determine whether antibiotics were appropriate. These data were linked to population-based administrative data to determine specific patient outcomes within the subsequent 2-week period: death, urgent hospitalization, or an unplanned return to the ED.

A total of 480 adults with BSI were identified (1.49 cases per 1,000 adults discharged from the department). Compared to controls (321,048 patients), BSI patients had a significantly higher risk of urgent hospitalization (adjusted OR 2.1 [95% CI 1.6–2.8]) and unplanned return to the ED (adjusted OR 4.1 [95% CI 3.3–4.9]). Outcome risk was significantly lowered in BSI patients who received appropriate antibiotics in the ED and at discharge. In elderly patients, the risk of urgent hospitalization increased significantly as the time to appropriate antibiotics was delayed.

BSI patients discharged from the ED have a significantly increased risk of urgent hospitalization and unplanned return to the ED in the subsequent 2 weeks. These risks decrease significantly with the timely provision of appropriate antibiotics. Our results support the aggressive use of measures ensuring that such patients receive appropriate antibiotics as soon as possible.

To maintain continuity of care when a patient's care is transferred between physicians, continuity of patient information is required. This survey determined how, and how well, Ontario emergency departments (EDs) communicate patient information to physicians in the community.

We surveyed Ontario ED chiefs to determine the most common media and methods used for disseminating information. We measured the perceived quality of their system, which was regressed against the hospital teaching status and community size using generalized logits modelling. Finally, we elicited the components of an ideal communication system for the ED.

One hundred and forty-three (85.6%) Ontario ED chiefs participated. The ED record of treatment was the most commonly used medium (95%). Postal service was the most common (55%) method of disseminating information. Thirty-three chiefs (23%) perceived the quality of communicating patient information from their ED as unsatisfactory or inadequate. This perception was significantly more prevalent in larger communities (excellent v. unsatisfactory [odds ratio (OR) 44.9, 95% confidence interval (CI) 13.9-140] and satisfactory v. unsatisfactory [OR 2.9, 95% CI 1.6-5.1]) and in teaching hospitals (satisfactory v. unsatisfactory [OR 9.7, 95% CI 4.7-20.3]). Seventy-eight percent of responding chiefs felt that patient information should be disseminated using electronic means, either through email or server access.

To communicate patient information to community physicians, Ontario ED chiefs report that a copy of the ED record of treatment is sent by postal service. More than one-fifth of ED chiefs perceived communication from their department as unsatisfactory or inadequate. Studies that assess the completeness and accuracy of the record of treatment are required as a first step for measuring the quality of patient information communication in the Ontario ED system.