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Published on: December 10, 2016
Incidence, case fatality and genotypes causing Clostridium difficile infections, Finland, 2008
S M Kotila1, A Virolainen, M Snellman
1Department of Infectious Disease Surveillance and Control, National Institute for Health and Welfare (THL), Helsinki, Finland. saara.kotila@thl.fi
Clostridium difficile infections (CDI) are increasing in older adults, with higher incidence and mortality in certain regions. Hypervirulent strains like PCR ribotype 027 may contribute to these disparities.
Area of Science:
- Infectious Diseases
- Epidemiology
- Molecular Epidemiology
Background:
- The epidemiology of Clostridium difficile infections (CDI) has shifted globally since 2000.
- Population-based data on CDI incidence and case fatality remain limited.
- Understanding regional variations and molecular characteristics is crucial for effective control.
Purpose of the Study:
- To assess the incidence and case fatality of CDI in Finland using nationwide surveillance data from 2008.
- To identify regional differences in CDI epidemiology.
- To correlate epidemiological findings with molecular typing data, including the prevalence of specific PCR ribotypes.
Main Methods:
- Analysis of nationwide laboratory-based surveillance data for CDI episodes in Finland during 2008.
- Calculation of incidence and 30-day case fatality rates, stratified by age and region.
- Genotyping of Clostridium difficile isolates using PCR ribotyping to identify prevalent strains.
Main Results:
- A total of 6201 CDI episodes were identified, with an overall incidence of 118.3 per 100,000 population.
- Incidence and 30-day case fatality increased significantly with age, peaking in individuals over 84 years old.
- PCR ribotype 027 was prevalent (36% of typed isolates) and found in multiple regions, alongside other types like 001, 002, and 014.
Conclusions:
- CDI incidence and case fatality rates in Finland are highest among the elderly and exhibit significant regional variation.
- The uneven distribution of hypervirulent strains, such as PCR ribotype 027, may contribute to observed epidemiological disparities.
- Regional differences in diagnostic practices and patient demographics could also influence the reported incidence and outcomes of CDI.
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