How Often Do Clinically Diagnosed Catheter-Associated Urinary Tract Infections in Nursing Homes Meet Standardized Criteria?
How Often Do Clinically Diagnosed Catheter-Associated Urinary Tract Infections in Nursing Homes Meet Standardized Criteria?
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DOI:
10.1111/jgs.14533
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发表时间:
2017-02
影响因子:
6.3
通讯作者:
Mody L
中科院分区:
文献类型:
--
作者:
Armbruster CE;Prenovost K;Mobley HL;Mody L
Determine the relationship of clinically diagnosed catheter-associated urinary tract infection (CAUTI) to standardized criteria and assess microorganism-level differences in symptom burden in a cohort of catheterized nursing home (NH) residents. Post-hoc analysis of a prospective longitudinal study. Twelve NHs in Southeast Michigan. 233 NH residents with indwelling urinary catheters. Clinical and demographic data, including CAUTI epidemiology and symptoms, were obtained at study enrollment, 14 days, and monthly thereafter for up to one year. One hundred twenty participants with an indwelling catheter (51%) were prescribed systemic antibiotics for 182 clinically diagnosed CAUTIs. Participants were predominantly white (90%), male (52%), with a mean age of 73.7 years. Common signs and symptoms were acute change in mental status (28%), fever (21%), and leukocytosis (13%). Forty percent of clinically diagnosed CAUTIs met Loeb’s minimum criteria, 32% met National Health Safety Network (NHSN) criteria, and 50% met either Loeb’s minimum or NHSN criteria. CAUTIs involving Staphylococcus aureus and Enterococcus spp. were least likely to meet criteria. CAUTIs involving K. pneumoniae were most likely to meet Loeb’s minimum criteria (OR=9.7 [95% CI, 2.3–40.3]), possibly due to an association with acute change in mental status (OR=5.9 [95% CI, 1.8–19.4]). Fifty percent of clinically diagnosed CAUTIs met standardized criteria, which represents an improvement in antibiotic prescribing practices. At the microorganism-level, our exploratory data indicates that symptom burden may differ between microorganisms. Exploration of CAUTI signs and symptoms associated with specific microorganisms may yield beneficial information to refine existing tools guiding appropriate antibiotic treatment.