Person:

Branch-Elliman, Westyn

Abstract Background: Despite recommendations against screening urine for bacteriuria prior to non-urological surgery, it is still a common practice. If the urine culture (Ucx) is positive, clinicians often feel compelled to give targeted therapy or expand the peri-operative prophylaxis (PPX) regimen to cover the urinary organism. Large multicenter studies are lacking. We aimed to evaluate rates and results of preoperative urine screening and postoperative outcomes among a national cohort of surgical patients. Methods: All patients who underwent cardiac, orthopedic implant, or vascular surgery within the national VA health care system during the period from 10/1/08–9/30/13 and had the PPX regimen manually validated were included. Rates of positive Ucx and wound cultures during the 90-day post-operative period were compared between patients with and without pre-operative bacteriuria. Among patients with a positive pre-op urine culture the association between activity of surgical PPX and positive post-op cultures was evaluated. Results: N = 78,810 surgeries were evaluated (21,889 cardiac, 46,565 orthopedic implant, 10,356 vascular). A pre-op Ucx was performed in 26% (Fig); of these, 6.6% were positive and 852 (63%) received PPX active against the uropathogen. Positive pre-op Ucx was associated with higher rates of positive post-op Ucx and wound cultures (Fig). Among patients who received active PPX, post-op Ucx was positive in 46% compared with 39% who received inactive PPX. The rate of post-op wound cultures was not different between patients who received active (25%) vs. inactive (24%) PPX. The pre-op and post-op organisms were the same in 117/221 (52.9%) Ucx and 17/104 (16.3%) wound cultures, respectively. PPX activity did not affect the match rate. Conclusion: This is the largest, multicenter study demonstrating no difference in post-op urine and wound cultures in patients receiving active vs. inactive surgical PPX for pre-op bacteriuria. Prevalence of bacteriuria was similar to other surgical populations. Limitations include predominantly male population and need for further characterization of pre-op antibiotic therapy and UTI and SSI outcomes. Disclosures All authors: No reported disclosures.

Abstract Background: Automated measurement of hospital-acquired infections (HAIs) can improve the efficiency and reliability of surveillance. Within the VA, inpatient MRSA HAIs are manually reviewed and reported to the Inpatient Evaluation Center (IPEC). These MRSA HAI metrics are used as part of facility rankings to compare quality. However, IPEC uses CDC surveillance definitions which may vary in interpretation across facilities and not reflect all clinically relevant MRSA events. Thus, we sought to compare this manual process to a previously-developed electronic algorithm for detecting clinical MRSA infections to evaluate whether the algorithm could be used to expand MRSA surveillance activities. Methods: Electronic data were extracted from the national VA healthcare system during the period from January 1, 2014–December 31, 2014. The electronic detection algorithm defined MRSA infections as a culture positive for MRSA from a sterile site or from a non-sterile site with receipt of an antimicrobial with MRSA activity ± 5 days from the date of culture collection. Cultures obtained ≥48 hours after admission were classified as HAI. IPEC data for five facilities was extracted and IPEC rates were compared with rates estimated by the electronic algorithm. Flagged infections at one facility were manually reviewed to evaluate any discordances. Results: N = 14,260 MRSA clinical cultures were identified in 9,209 unique patients. Of these, 1,703 met definition for MRSA HAI infection. Electronic algorithm detected MRSA HAI rates varied widely across 137 facilities (Figure 1), ranked by rate per 1,000 patient-days. IPEC rates were universally lower than estimates derived using the MRSA electronic detection tool. Discordance in the estimates was attributable to infections present on admission, differences in capture of surgical site infections, and differences between clinical and surveillance definitions of infection. Conclusion: Applying the MRSA algorithm provided additional information about the burden of MRSA infections across the VA. This algorithm could be used as a tool to complement IPEC reporting and further inform infection prevention activities. Disclosures All authors: No reported disclosures.

BACKGROUND Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an electronic surveillance system augmented with natural language processing (NLP), which gathers data recorded in clinical notes without manual review, was implemented for real-time surveillance.

OBJECTIVE To assess the utility of this algorithm for identifying indwelling urinary catheter days and CAUTI.

SETTING Large, urban tertiary care Veterans Affairs hospital.

METHODS All patients admitted to the acute care units and the intensive care unit from March 1, 2013, through November 30, 2013, were included. Standard surveillance, which includes electronic and manual data extraction, was compared with the NLP-augmented algorithm.

RESULTS The NLP-augmented algorithm identified 27% more indwelling urinary catheter days in the acute care units and 28% fewer indwelling urinary catheter days in the intensive care unit. The algorithm flagged 24 CAUTI versus 20 CAUTI by standard surveillance methods; the CAUTI identified were overlapping but not the same. The overall positive predictive value was 54.2%, and overall sensitivity was 65% (90.9% in the acute care units but 33% in the intensive care unit). Dissimilarities in the operating characteristics of the algorithm between types of unit were due to differences in documentation practice. Development and implementation of the algorithm required substantial upfront effort of clinicians and programmers to determine current language patterns.

CONCLUSIONS The NLP algorithm was most useful for identifying simple clinical variables. Algorithm operating characteristics were specific to local documentation practices. The algorithm did not perform as well as standard surveillance methods.

Background Excessive prescribing of vancomycin among patients admitted to inpatient wards is a challenge for antimicrobial stewardship programs, especially in the setting of expanded screening programs for methicillin-resistant Staphylococcus aureus (MRSA). Studies examining factors associated with longer duration of vancomycin use are limited.

Methods We conducted a retrospective cohort study to assess the impact of universal MRSA admission screening on duration of vancomycin use at the VA Boston Healthcare System during the period from January 2013-November 2015.

Results A total of 2,910 patients were administered intravenous vancomycin during the study period. A clinical culture positive for MRSA was strongly associated with vancomycin administration lasting >72 hours (odds ratio [OR], 2.72; 95% confidence interval [CI], 1.86-3.97; P < .001). After controlling for clinical culture results, admission MRSA colonization was not associated with vancomycin use past 72 hours (OR, 0.94; 95% CI, 0.8-1.1). A negative MRSA nasal swab on admission had a high negative predictive value for all MRSA infections evaluated (99.6% for pneumonia, 99.6% for bloodstream infection, and 98.1% for skin and soft tissue infection).

Conclusions Admission surveillance for MRSA nasal colonization is not a major driver of prolonged vancomycin use. A negative admission MRSA nasal screen may be a useful tool for antimicrobial stewardship programs to limit vancomycin use, particularly in noncritically ill patients.