Literature DB >> 27406609

Costs and Mortality Associated With Multidrug-Resistant Healthcare-Associated Acinetobacter Infections.

Richard E Nelson1, Marin L Schweizer2, Eli N Perencevich2, Scott D Nelson1, Karim Khader1, Hsiu-Yin Chiang3, Margaret L Chorazy4, Amy Blevins3, Melissa A Ward3, Matthew H Samore1.   

Abstract

BACKGROUND Our objective was to estimate the per-infection and cumulative mortality and cost burden of multidrug-resistant (MDR) Acinetobacter healthcare-associated infections (HAIs) in the United States using data from published studies. METHODS We identified studies that estimated the excess cost, length of stay (LOS), or mortality attributable to MDR Acinetobacter HAIs. We generated estimates of the cost per HAI using 3 methods: (1) overall cost estimates, (2) multiplying LOS estimates by a cost per inpatient-day ($4,350) from the payer perspective, and (3) multiplying LOS estimates by a cost per inpatient-day from the hospital ($2,030) perspective. We deflated our estimates for time-dependent bias using an adjustment factor derived from studies that estimated attributable LOS using both time-fixed methods and either multistate models (70.4% decrease) or matching patients with and without HAIs using the timing of infection (47.4% decrease). Finally, we used the incidence rate of MDR Acinetobacter HAIs to generate cumulative incidence, cost, and mortality associated with these infections. RESULTS Our estimates of the cost per infection were $129,917 (method 1), $72,025 (method 2), and $33,510 (method 3). The pooled relative risk of mortality was 4.51 (95% CI, 1.10-32.65), which yielded a mortality rate of 10.6% (95% CI, 2.5%-29.4%). With an incidence rate of 0.141 (95% CI, 0.136-0.161) per 1,000 patient-days at risk, we estimated an annual cumulative incidence of 12,524 (95% CI, 11,509-13,625) in the United States. CONCLUSION The estimates presented here are relevant to understanding the expenditures and lives that could be saved by preventing MDR Acinetobacter HAIs. Infect Control Hosp Epidemiol 2016;1-7.

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Year:  2016        PMID: 27406609     DOI: 10.1017/ice.2016.145

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  7 in total

1.  Potential economic burden of carbapenem-resistant Enterobacteriaceae (CRE) in the United States.

Authors:  S M Bartsch; J A McKinnell; L E Mueller; L G Miller; S K Gohil; S S Huang; B Y Lee
Journal:  Clin Microbiol Infect       Date:  2016-09-15       Impact factor: 8.067

2.  Clinical and Microbiological Analysis of Risk Factors for Mortality in Patients With Carbapenem-Resistant Acinetobacter baumannii Bacteremia.

Authors:  Hyo-Ju Son; Eun Been Cho; Moonsuk Bae; Seung Cheol Lee; Heungsup Sung; Mi-Na Kim; Jiwon Jung; Min Jae Kim; Sung-Han Kim; Sang-Oh Lee; Sang-Ho Choi; Jun Hee Woo; Yang Soo Kim; Yong Pil Chong
Journal:  Open Forum Infect Dis       Date:  2020-08-24       Impact factor: 3.835

Review 3.  Anticipating the Unpredictable: A Review of Antimicrobial Stewardship and Acinetobacter Infections.

Authors:  Eric Wenzler; Debra A Goff; Romney Humphries; Ellie J C Goldstein
Journal:  Infect Dis Ther       Date:  2017-03-04

Review 4.  Mechanisms of Action for Antimicrobial Peptides With Antibacterial and Antibiofilm Functions.

Authors:  Nigare Raheem; Suzana K Straus
Journal:  Front Microbiol       Date:  2019-12-12       Impact factor: 5.640

5.  Research on the economic loss of hospital-acquired pneumonia caused by Klebsiella pneumonia base on propensity score matching.

Authors:  Xiao Zhong; Dong-Li Wang; Li-Hua Xiao
Journal:  Medicine (Baltimore)       Date:  2021-04-16       Impact factor: 1.817

6.  The burden of carbapenem-resistant Enterobacterales infection in a large Thai tertiary care hospital.

Authors:  Watcharaphon Tangsawad; Chayanis Kositamongkol; Piriyaporn Chongtrakool; Pochamana Phisalprapa; Anupop Jitmuang
Journal:  Front Pharmacol       Date:  2022-09-02       Impact factor: 5.988

7.  Economic burden attributable to healthcare-associated infections in tertiary public hospitals of Central China: a multi-centre case-control study.

Authors:  Peng Li; Yan Li; Youjian Zhang; Junzhe Bao; Ruixia Yuan; Hongwen Lan; Mingjie Sun
Journal:  Epidemiol Infect       Date:  2022-08-15       Impact factor: 4.434

  7 in total

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