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Record W1986450646 · doi:10.3201/eid1505.081084

Possible Seasonality of<i>Clostridium difficile</i>in Retail Meat, Canada

2009· article· en· W1986450646 on OpenAlexafffundabout
Alexander Rodriguez‐Palacios, Richard J. Reid‐Smith, Henry R. Staempfli, Danielle Daignault, Nicol Janecko, Brent P. Avery, Hayley Martin, Angela D. Thomspon, L. Clifford McDonald, Brandi Limbago, J. Scott Weese

Bibliographic record

VenueEmerging infectious diseases · 2009
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsPublic Health Agency of CanadaUniversity of Guelph
FundersPublic Health AgencyPublic Health Agency of CanadaOhio State University
KeywordsClostridium difficileSeasonalityTransmissibility (structural dynamics)Environmental healthVeterinary medicineBiologyFood scienceMicrobiologyMedicineEcologyAntibiotics

Abstract

fetched live from OpenAlex

We previously reported Clostridium diffi cile in 20% of retail meat in Canada, which raised concerns about potential foodborne transmissibility.Here, we studied the genetic diversity of C. diffi cile in retail meats, using a broad Canadian sampling infrastructure and 3 culture methods.We found 6.1% prevalence and indications of possible seasonality (highest prevalence in winter). C lostridium diffi cile infection (CDI) has been associ-ated with increased illness and death in Canada since 2000 (1,2).Although multiple genotypes with higher levels of virulence and antimicrobial resistance have been recognized (1,3), little is known about risk factors for CDI acquisition outside healthcare facilities.In a 2005 study, we found C. diffi cile in 20% of retail meats sampled in Canada (4).Limitations to that study included limited geographic representation, nonsystematic sampling, and the use of a nonvalidated culture method.These sampling limitations prevent valid extrapolations.Broader sampling and a better understanding of the culture methods were thus required to reassess the prevalence of retail meat contamination with C. diffi cile.Here, we determined the prevalence of C. diffi cile in retail meat by using a broad-based government sampling infrastructure, compared 3 culture methods, characterized recovered isolates, and evaluated month-to-month variability in C. diffi cile recovery. The StudyRetail meats were obtained from 2 randomly selected census divisions per week from various retailers across Canada as part of the active retail surveillance component of the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) (5).We tested random packages of ground beef as well as veal chops from milkfed calves; the packages were purchased by CIPARS in Ontario, Québec, and Saskatchewan, Canada, from January through August 2006.Purchased packages were sent to the Laboratory of Foodborne Zoonoses, Québec (ground beef), and to the Canadian Research Institute for Food Safety, Ontario (veal chops), where 35-g composite samples were made.Rinsates were prepared by mixing 25 g of meat and 225 mL of buffered peptone water (placed in a stomacher for 15 min).Rinsates (12 mL) and the remains of the composite samples (10 g) were then sent to the University of Guelph for C. diffi cile testing.Sample size estimations indicated that 211 packages were adequate to verify a prevalence of 20% ± 8% (α = 0.05, power = 0.8; Stata sampsi command [Stata Corp., College Station, TX, USA]).A total of 214 meat samples were cultured by using 3 methods.One method, used in an earlier study (4), was tested in duplicate to assess reproducibility.All protocols had an enrichment phase of 7 days (Table 1), followed by ethanol treatment of culture sediments (96%, 1:2 [vol/ vol], 30 min), and inoculation onto solid agar for colony identifi cation (4,6).Suspected colonies (swarming, nonhemolytic) were subcultured onto 5% sheep blood agar.C. diffi cile was preliminarily identifi ed with L-proline aminopeptidase activity (Pro Disc; Remel, Lenexa, KS, USA) but confi rmed by PCR detection of the triose phosphate isomerase gene (7).PCR ribotyping and detection of genes for toxins A (tcdA), B (tcdB), binary toxin (cdtB), and toxin regulator (tcdC) were performed as previously described (4,8,9).Isolates having either tcdA, tcdB, or cdtB were classifi ed as toxigenic (10).Resulting PCR ribotypes were visually compared to representative PCR ribotypes previously identifi ed in cattle (n = 8, 2004), retail meats (n = 4, 2005), and humans (n = 39, 2004-2006) in Ontario and Québec, Canada (2,4,11).The fi rst meat-derived isolate of each PCR ribotype and 1 matching human isolate were submitted to the Centers for Disease Control and Prevention, Atlanta, Georgia, USA, for SmaI pulsed-fi eld gel electrophoresis (PFGE) and toxinotyping (1).We tested selected isolates to determine the MICs of clindamycin, levofl oxacin, moxifl oxacin, and gatifl oxacin by using the Etest (AB Biodisk, Solna, Sweden) and interpreted the results after the isolates were incubated for 48 h on Brucella agar (12).Controls included C. diffi cile strain ATCC 700057.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.272
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations120
Published2009
Admission routes3
Has abstractyes

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