Journal article
Excess Length of Acute Inpatient Stay Attributable to Acquisition of Hospital-Onset Gram-Negative Bloodstream Infection with and without Antibiotic Resistance: A Multistate Model Analysis
Antibiotics, Vol.9(2)
02/01/2020
DOI: 10.3390/antibiotics9020096
PMCID: PMC7168210
PMID: 32102195
Abstract
Excess length of stay (LOS) is an important outcome when assessing the burden of nosocomial infection, but it can be subject to survival bias. We aimed to estimate the change in LOS attributable to hospital-onset (HO) Escherichia coli/Klebsiella spp. bacteremia using multistate models to circumvent survival bias. We analyzed a cohort of all patients with HO E. coli/Klebsiella spp. bacteremia and matched uninfected control patients within the U.S. Veterans Health Administration System in 2003–2013. A multistate model was used to estimate the change in LOS as an effect of the intermediate state (HO-bacteremia). We stratified analyses by susceptibilities to fluoroquinolones (fluoroquinolone susceptible (FQ-S)/fluoroquinolone resistant (FQ-R)) and extended-spectrum cephalosporins (ESC susceptible (ESC-S)/ESC resistant (ESC-R)). Among the 5964 patients with HO bacteremia analyzed, 957 (16.9%) and 1638 (28.9%) patients had organisms resistant to FQ and ESC, respectively. Any HO E.coli/Klebsiella bacteremia was associated with excess LOS, and both FQ-R and ESC-R were associated with a longer LOS than susceptible strains, but the additional burdens attributable to resistance were small compared to HO bacteremia itself (FQ-S: 12.13 days vs. FQ-R: 12.94 days, difference: 0.81 days (95% CI: 0.56–1.05), p < 0.001 and ESC-S: 11.57 days vs. ESC-R: 16.56 days, difference: 4.99 days (95% CI: 4.75–5.24), p < 0.001). Accurate measurements of excess attributable LOS associated with resistance can help support the business case for infection control interventions.
Details
- Title: Subtitle
- Excess Length of Acute Inpatient Stay Attributable to Acquisition of Hospital-Onset Gram-Negative Bloodstream Infection with and without Antibiotic Resistance: A Multistate Model Analysis
- Creators
- Hiroyuki SuzukiEli N PerencevichRajeshwari NairDaniel J LivorsiMichihiko Goto
- Resource Type
- Journal article
- Publication Details
- Antibiotics, Vol.9(2)
- DOI
- 10.3390/antibiotics9020096
- PMID
- 32102195
- PMCID
- PMC7168210
- NLM abbreviation
- Antibiotics (Basel)
- eISSN
- 2079-6382
- Publisher
- MDPI
- Grant note
- DOI: 10.13039/100006812, name: U.S. Department of Veterans Affairs, award: CIN 13-412
- Language
- English
- Date published
- 02/01/2020
- Academic Unit
- Infectious Diseases; Epidemiology; Internal Medicine
- Record Identifier
- 9984001235902771
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