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Cefoperazone-treated Mouse Model of Clinically-relevant Clostridium difficile Strain R20291
Published on: December 10, 2016
Clostridium difficile Infection: An Emerging Cause of Death in the Twenty-First Century
Viytta N Abdullatif1, Andrew Noymer1
1a Department of Population Health and Disease Prevention , University of California , Irvine , California , USA.
Clostridium difficile (C. diff.) deaths in the U.S. increased tenfold from 1999-2012. Population aging alone doesn't explain this rise, indicating a need for healthcare strategies to combat C. diff. infections.
Area of Science:
- Epidemiology
- Public Health
- Biostatistics
Background:
- Clostridium difficile (C. diff.) infection is a significant and growing cause of mortality in the United States.
- Between 1999 and 2012, deaths attributed to C. diff. increased nearly tenfold, from 793 to 7,739.
- The rising incidence necessitates a thorough examination of contributing factors and effective intervention strategies.
Purpose of the Study:
- To provide a demographic overview of C. diff. mortality trends in the U.S. since 1999.
- To investigate the role of population aging as a driver of increased C. diff. deaths.
- To introduce an improved statistical method for modeling mortality data.
Main Methods:
- Analysis of demographic data on C. diff. mortality from 1999 onwards.
- Statistical testing of the hypothesis that population aging correlates with C. diff. death increases.
- Application of a weighted least squares technique for estimating Gompertz models.
Main Results:
- C. diff. mortality shows a proportional hazard pattern emerging above the age of 40.
- Population aging is not the sole factor driving the increase in C. diff. deaths.
- The proposed weighted least squares method yields parameter estimates closer to maximum likelihood compared to conventional approaches.
Conclusions:
- The rise in C. diff. deaths is multifactorial, extending beyond population aging.
- Findings support the implementation of healthcare-based strategies to mitigate C. diff. infections.
- The developed statistical technique offers a more accurate approach to modeling mortality data.
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