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Observational Study
. 2019 Jun;102(2):135-140.
doi: 10.1016/j.jhin.2019.01.020. Epub 2019 Jan 25.

Burden of Clostridium (Clostridioides) difficile infection during inpatient stays in the USA between 2012 and 2016

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Observational Study

Burden of Clostridium (Clostridioides) difficile infection during inpatient stays in the USA between 2012 and 2016

S Mollard et al. J Hosp Infect. 2019 Jun.

Abstract

Background: The healthcare burden of Clostridium (Clostridioides) difficile infection (CDI) is high but not fully characterized.

Aim: To assess hospitalization costs, length of hospital stay (LOS) and in-hospital mortality attributable to CDI in the USA by analysing nationwide hospital discharge records over the 2012-2016 period.

Methods: A retrospective, observational study based on the Truven Health MarketScan Hospital Drug Database was conducted, in which 46,097 inpatient stays with a diagnosis of CDI were analysed. Costs, LOS and in-hospital mortality were studied for patients with either a principal or secondary (comorbidity) diagnosis of CDI, and for patients re-admitted because of CDI. If CDI was a comorbidity, its attributable burden was estimated by coarsened exact matching, comparing 17,273 CDI stays with 84,164 stays in a control group without a CDI diagnosis.

Findings: Inpatients for whom CDI was the main reason for hospitalization incurred mean costs of US$10,528 and an average LOS of 5.9 days. For CDI as a comorbidity, the mean additional cost was US$11,938 and the additional LOS was 4.4 days. CDI also increased the in-hospital mortality rate by 4.1%, on average.

Conclusion: This study is consistent with previous publications which demonstrated the high economic burden of CDI for healthcare settings and health insurance systems. When recorded as a comorbidity, CDI significantly increased hospital costs and LOS. These results highlight the need for innovative therapeutic approaches in the prevention and treatment of CDI.

Keywords: Case–control study; Clostridioides difficile; Clostridium difficile infection; Cost analysis; Economic burden; Matching.

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