Comparative analysis and trends in liver transplant hospitalizations with Clostridium difficile infections: A 10-year national cross-sectional study

Autor: Hassam Ali, Pratik Patel, Rahul Pamarthy, Karina Fatakhova, Nicole Leigh Bolick, Sanjaya Kumar Satapathy
Rok vydání: 2022
Předmět:
Zdroj: Transplant infectious disease : an official journal of the Transplantation SocietyREFERENCES. 24(6)
ISSN: 1399-3062
Popis: Clostridium difficile infection (CDI) is the leading cause of antibiotic-associated diarrhea in the United States. We aimed to determine comparative trends in inpatient outcomes of liver transplant (LT) patients based on CDI during hospitalizations.The national inpatient sample database was used to conduct the present retrospective study regarding CDI among the LT hospitalizations from 2009 to 2019. Primary outcomes included 10-year comparative trends of the length of stay (LOS) and mean inpatient charges (MIC). Secondary outcomes included comparative mortality and LT rejection trends.There was a 14.05% decrease in CDI in LT hospitalizations over the study period (p = .05). The trend in LOS did not significantly vary (p = .9). MIC increased significantly over the last decade in LT hospitalizations with CDI (p .001). LT hospitalizations of autoimmune etiology compared against non-autoimmune did not increase association with CDI, adjusted odds ratio (aOR) 0.97 (95% confidence interval [CI] 0.75-1.26, p = .87). CDI was associated with increased mortality in LT hospitalizations, aOR 1.84 (95% CI 1.52-2.24, p .001). In-hospital mortality for LT hospitalizations with CDI decreased by 7.75% over the study period (p = .3). CDI increased transplant rejections, aOR 1.3 (95% CI 1.08-1.65, p .001). There was a declining trend in transplant rejection for LT hospitalization with CDI from 5% to 3% over the study period (p = .0048).CDI prevalence does not increase based on autoimmune LT etiology. It increases mortality in LT hospitalizations; however, trend for mortality and transplant rejections has been declining over the last decade.
Databáze: OpenAIRE
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