The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Differences in outcome according to Clostridium difficile testing method: a prospective multicentre diagnostic validation study of C difficile infection
Open accessAbstract
BACKGROUND: Diagnosis of Clostridium difficile infection is controversial because of many laboratory methods, compounded by two reference methods. Cytotoxigenic culture detects toxigenic C difficile and gives a positive result more frequently (eg, because of colonisation, which means that individuals can have the bacterium but no free toxin) than does the cytotoxin assay, which detects preformed toxin in faeces. We aimed to validate the reference methods according to clinical outcomes and to derive an optimum laboratory diagnostic algorithm for C difficile infection. METHODS: In this prospective, multicentre study, we did cytotoxigenic culture and cytotoxin assays on 12,420 faecal samples in four UK laboratories. We also performed tests that represent the three main targets for C difficile detection: bacterium (glutamate dehydrogenase), toxins, or toxin genes. We used routine blood test results, length of hospital stay, and 30-day mortality to clinically validate the reference methods. Data were categorised by reference method result: group 1, cytotoxin assay positive; group 2, cytotoxigenic culture positive and cytotoxin assay negative; and group 3, both reference methods negative. FINDINGS: Clinical and reference assay data were available for 6522 inpatient episodes. On univariate analysis, mortality was significantly higher in group 1 than in group 2 (72/435 [16·6%] vs 20/207 [9·7%], p=0·044) and in group 3 (503/5880 [8·6%], p<0·001), but not in group 2 compared with group 3 (p=0·4). A multivariate analysis accounting for potential confounders confirmed the mortality differences between groups 1 and 3 (OR 1·61, 95% CI 1·12-2·31). Multistage algorithms performed better than did standalone assays. INTERPRETATION: We noted no increase in mortality when toxigenic C difficile alone was present. Toxin (cytotoxin assay) positivity correlated with clinical outcome, and so this reference method best defines true cases of C difficile infection. A new diagnostic category of potential C difficile excretor (cytotoxigenic culture positive but cytotoxin assay negative) could be used to characterise patients with diarrhoea that is probably not due to C difficile infection, but who can cause cross-infection.
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An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
An introduction to ROC analysis
Fawcett, T. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.010 · Cited by 21,879
Kupper, L. L., Hosmer, D. W., & Lemeshow, S. (1990) · Journal of the American Statistical Association · doi:10.2307/2290035 · Cited by 7,599
Applied Survival Analysis: Regression Modeling of Time-to-Event Data
Hosmer, D. W., Lemeshow, S. A., & May, S. J. (2008) · Cited by 3,030
Estimating Health Care-Associated Infections and Deaths in U.S. Hospitals, 2002
Klevens, R. M., Edwards, J. R., Richards, C. L., Horan, T. C., Gaynes, R. P., Pollock, D. A., & Cardo, D. M. (2007) · Public Health Reports® · doi:10.1177/003335490712200205 · Cited by 2,960
Cohen, S. H., Gerding, D. N., Johnson, S., Kelly, C. P., Loo, V. G., McDonald, L. C., Pepin, J., & Wilcox, M. H. (2010) · Infection Control & Hospital Epidemiology · doi:10.1086/651706 · Cited by 2,942
Self-citationLoo, V. G., Poirier, L., Miller, M. A., Oughton, M., Libman, M. D., Michaud, S., Bourgault, A.-M., Nguyen, T., Frenette, C., Kelly, M., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa051639 · Cited by 1,946
Guidelines for diagnosis, treatment, and prevention of Clostridium difficile infections
Surawicz, C. M., Brandt, L. J., Binion, D. G., Ananthakrishnan, A. N., Curry, S. R., Gilligan, P. H., McFarland, L. V., Mellow, M., & Zuckerbraun, B. S. (2013) · American Journal of Gastroenterology · doi:10.1038/ajg.2013.4 · Cited by 1,645
Pepin, J. (2004) · Canadian Medical Association Journal · doi:10.1503/cmaj.1041104 · Cited by 1,128
Cited by
McDonald, L. C., Gerding, D. N., Johnson, S., Bakken, J. S., Carroll, K. C., Coffin, S. E., Dubberke, E. R., Garey, K. W., Gould, C. V., Kelly, C., et al. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/cix1085 · Cited by 2,690
Self-citationBurden of Clostridium difficile Infection in the United States
Lessa, F. C., Mu, Y., Bamberg, W. M., Beldavs, Z. G., Dumyati, G. K., Dunn, J. R., Farley, M. M., Holzbauer, S. M., Meek, J. I., Phipps, E. C., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1408913 · Cited by 2,641
Changes in prevalence of health care-associated infections in U.S. hospitals
Magill, S. S., O’Leary, E., Janelle, S. J., Thompson, D. L., Dumyati, G., Nadle, J., Wilson, L. E., Kainer, M. A., Lynfield, R., Greissman, S., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1801550 · Cited by 1,249
van Prehn, J., Reigadas, E., Vogelzang, E. H., Bouza, E., Hristea, A., Guery, B., Krutova, M., Norén, T., Allerberger, F., Coia, J. E., et al. (2021) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2021.09.038 · Cited by 640
Self-citationBuss, S. N., Leber, A., Chapin, K., Fey, P. D., Bankowski, M. J., Jones, M. K., Rogatcheva, M., Kanack, K. J., & Bourzac, K. M. (2015) · Journal of Clinical Microbiology · doi:10.1128/jcm.02674-14 · Cited by 554
Metadata
- Authors
- Planche, T. D., Davies, K. A., Coen, P. G., Finney, J. M., Monahan, I. M., Morris, K. A., O'Connor, L., Oakley, S. J., Pope, C. F., Wren, M. W., Shetty, N. P., Crook, D. W., & Wilcox, M. H.
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 13
- Issue
- 11
- Pages
- 936-945
- ISSN
- 1473-3099 (ISSN-L)
- OpenAlex
- W2155106081
- Cited by
- 435
- References
- 38
- FWCI
- 35.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Planche, T. D., Davies, K. A., Coen, P. G., Finney, J. M., Monahan, I. M., Morris, K. A., O'Connor, L., Oakley, S. J., Pope, C. F., Wren, M. W., Shetty, N. P., Crook, D. W., & Wilcox, M. H. (2013). Differences in outcome according to Clostridium difficile testing method: a prospective multicentre diagnostic validation study of C difficile infection. The Lancet Infectious Diseases. https://doi.org/10.1016/s1473-3099(13)70200-7
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