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Diagnostic stewardship of urine cultures from patients with indwelling urinary catheters may improve diagnostic specificity and clinical relevance of the test, but risk of patient harm is uncertain.
We retrospectively evaluated the impact of a computerized clinical decision support tool to promote institutional appropriateness criteria (neutropenia, kidney transplant, recent urologic surgery, or radiologic evidence of urinary tract obstruction) for urine cultures from patients with an indwelling urinary catheter. The primary outcome was a change in catheter-associated urinary tract infection (CAUTI) rate from baseline (34 mo) to intervention period (30 mo, including a 2-mo wash-in period). We analyzed patient-level outcomes and adverse events.
Adjusted CAUTI rate decreased from 1.203 to 0.75 per 1,000 catheter-days (P = 0.52). Of 598 patients triggering decision support, 284 (47.5%) urine cultures were collected in agreement with institutional criteria and 314 (52.5%) were averted. Of 314 patients whose urine cultures were averted, 2 had a subsequent urine culture within 7 days that resulted in a change in antimicrobial therapy and 2 had diagnosis of bacteremia with suspected urinary source, but there were no delays in effective treatment.
A diagnostic stewardship intervention was associated with an approximately 50% decrease in urine culture testing for inpatients with a urinary catheter. However, the overall CAUTI rate did not decrease significantly. Adverse outcomes were rare and minor among patients who had a urine culture averted. Diagnostic stewardship may be safe and effective as part of a multimodal program to reduce unnecessary urine cultures among patients with indwelling urinary catheters.
To evaluate random effects of volume (patient days or device days) on healthcare-associated infections (HAIs) and the standardized infection ratio (SIR) used to compare hospitals.
A longitudinal comparison between publicly reported quarterly data (2014–2020) and volume-based random sampling using 4 HAI types: central-line–associated bloodstream infections, catheter-associated urinary tract infections, Clostridioides difficile infections, methicillin-resistant Staphylococcus aureus infections.
Using 4,268 hospitals with reported SIRs, we examined relationships of SIRs to volume and compared distributions of SIRs and numbers of reported HAIs to the outcomes of simulated random sampling. We included random expectations into SIR calculations to produce a standardized infection score (SIS).
Among hospitals with volumes less than the median, 20%–33% had SIRs of 0, compared to 0.3%–5% for hospitals with volumes higher than the median. Distributions of SIRs were 86%–92% similar to those based on random sampling. Random expectations explained 54%–84% of variation in numbers of HAIs. The use of SIRs led hundreds of hospitals with more infections than either expected at random or predicted by risk-adjusted models to rank better than other hospitals. The SIS mitigated this effect and allowed hospitals of disparate volumes to achieve better scores while decreasing the number of hospitals tied for the best score.
SIRs and numbers of HAIs are strongly influenced by random effects of volume. Mitigating these effects drastically alters rankings for HAI types and may further alter penalty assignments in programs that aim to reduce HAIs and improve quality of care.
Bloodstream infections (BSIs) are a frequent cause of morbidity in patients with acute myeloid leukemia (AML), due in part to the presence of central venous access devices (CVADs) required to deliver therapy.
To determine the differential risk of bacterial BSI during neutropenia by CVAD type in pediatric patients with AML.
We performed a secondary analysis in a cohort of 560 pediatric patients (1,828 chemotherapy courses) receiving frontline AML chemotherapy at 17 US centers. The exposure was CVAD type at course start: tunneled externalized catheter (TEC), peripherally inserted central catheter (PICC), or totally implanted catheter (TIC). The primary outcome was course-specific incident bacterial BSI; secondary outcomes included mucosal barrier injury (MBI)-BSI and non-MBI BSI. Poisson regression was used to compute adjusted rate ratios comparing BSI occurrence during neutropenia by line type, controlling for demographic, clinical, and hospital-level characteristics.
The rate of BSI did not differ by CVAD type: 11 BSIs per 1,000 neutropenic days for TECs, 13.7 for PICCs, and 10.7 for TICs. After adjustment, there was no statistically significant association between CVAD type and BSI: PICC incident rate ratio [IRR] = 1.00 (95% confidence interval [CI], 0.75–1.32) and TIC IRR = 0.83 (95% CI, 0.49–1.41) compared to TEC. When MBI and non-MBI were examined separately, results were similar.
In this large, multicenter cohort of pediatric AML patients, we found no difference in the rate of BSI during neutropenia by CVAD type. This may be due to a risk-profile for BSI that is unique to AML patients.
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