Risk factors for and estimated incidence of community-associated Clostridium difficile infection, North Carolina, USA.

We determined estimated incidence of and risk factors for community-associated Clostridium difficile infection (CA-CDI) among patients treated at 6 North Carolina hospitals. CA-CDI case-patients were defined as adults (>18 years of age) with a positive stool test result for C. difficile toxin and no hospitalization within the prior 8 weeks. CA-CDI incidence was 21 and 46 per 100,000 person-years in Veterans Affairs (VA) outpatients and Durham County populations, respectively. VA case-patients were more likely than controls to have received antimicrobial drugs (adjusted odds ratio [aOR] 17.8, 95% confidence interval [CI] 6.6-48] and to have had a recent outpatient visit (aOR 5.1, 95% CI 1.5-17.9). County case-patients were more likely than controls to have received antimicrobial drugs (aOR 9.1, 95% CI 2.9-28.9), to have gastroesophageal reflux disease (aOR 11.2, 95% CI 1.9-64.2), and to have cardiac failure (aOR 3.8, 95% CI 1.1-13.7). Risk factors for CA-CDI overlap with those for healthcare-associated infection.

Assessment of Clostridium difficile-associated disease surveillance definitions, North Carolina, 2005.

OBJECTIVE: To determine the timing of community-onset Clostridium difficile-associated disease (CDAD) relative to the patient's last healthcare facility discharge, the association of postdischarge cases with healthcare facility-onset cases, and the influence of postdischarge cases on overall rates and interhospital comparison of rates of CDAD. DESIGN: Retrospective cohort study for the period January 1, 2005, through December 31, 2005. SETTING: Catchment areas of 6 acute care hospitals in North Carolina. METHODS: We reviewed medical and laboratory records to determine the date of symptom onset, the dates of hospitalization, and stool C. difficile toxin assay results for patients with CDAD who had diarrhea and positive toxin-assay results. Cases were classified as healthcare facility-onset if they were diagnosed more than 48 hours after admission. Cases were defined as community-onset if they were diagnosed in the community or within 48 hours after admission, and were also classified on the basis of the time since the last discharge: if within 4 weeks, community-onset, healthcare facility-associated (CO-HCFA); if 4-12 weeks, indeterminate exposure; and if more than 12 weeks, community-associated. Pearson's correlation coefficient was used to assess the association between monthly rates of healthcare facility-onset, healthcare facility-associated (HO-HCFA) cases and CO-HCFA cases. We performed interhospital rate comparisons using HO-HCFA cases only and using both HO-HCFA and CO-HCFA cases. RESULTS: Of 1046 CDAD cases, 442 (42%) were HO-HCFA cases and 604 (58%) were community-onset cases. Of the 604 community-onset cases, 94 (15%) were CO-HCFA, 40 (7%) were of indeterminate exposure, and 208 (34%) community-associated. A modest correlation was found between monthly rates of HO-HCFA cases and CO-HCFA cases across the 6 hospitals (r = 0.63, P < .001). Interhospital rankings changed for 6 of 11 months if CO-HCFA cases were included. CONCLUSIONS: A substantial proportion of community-onset cases of CDAD occur less than 4 weeks after discharge from a healthcare facility, and inclusion of CO-HCFA cases influences interhospital comparisons. Our findings support the use of a proposed definition of healthcare facility-associated CDAD that includes cases that occur within 4 weeks after discharge.

Endocarditis caused by Staphylococcus aureus with reduced susceptibility to vancomycin.

Clinical management of infective endocarditis (IE) is expected to become more difficult with the emergence of Staphylococcus aureus with reduced susceptibility to vancomycin (SARV) in the United States and worldwide. We report the strain characterization and treatment of a patient with SARV IE.

Automated detection of influenza-like illness using clinical surveillance markers at a Department of Veterans Affairs Medical Center.

BACKGROUND: Using demographic and clinical measures from emergency department evaluations, we developed an automated surveillance system for influenza-like illness (ILI). METHODS: We selected a random sample of patients who were seen at the Durham, NC Veterans Affairs Medical Center between May 2002 and October 2009 with fever or a respiratory ICD-9 diagnosis code and divided this into subsets for system development and validation. Comprehensive chart reviews identified patients who met a standard case definition for ILI. Logistic regression models predicting ILI were fit in the development sample. We applied the parameter estimates from these models to the validation sample and evaluated their utility using receiver-operator characteristic analysis. RESULTS: The models discriminated ILI very well in the validation sample; the C-statistics were >0.89. CONCLUSIONS: Risk estimates based on statistical models can be incorporated into electronic medical records systems to assist clinicians and could be used in real-time surveillance for disease outbreaks.

Adherence to self-quarantine recommendations during an outbreak of norovirus infection.

A large norovirus outbreak affecting hospital patients and staff occurred during the winter of 2007. We administered a survey to affected staff to evaluate adherence to social distancing recommendations. Of the 102 survey respondents, 74 (73%) completed self-quarantine. Staff adherence was similar regardless of job responsibility. Incomplete adherence to recommendations could potentially accelerate and prolong infectious disease outbreaks.