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Record W4250388579 · doi:10.1542/gr.41-6-68

Comorbidities Predict <i>Clostridium difficile</i> Infection

2019· article· en· W4250388579 on OpenAlexaboutno aff

Bibliographic record

VenueAAP Grand Rounds · 2019
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsClostridium difficileMedicineIconCitationWorld Wide WebMicrobiologyComputer science

Abstract

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Source: El-Matary W, Nugent Z, Yu BN, et al. Trends and predictors of Clostridium difficile infection among children: a Canadian population-based study. J Pediatr. 2019; 206: 20– 25; doi: 10.1016/j.jpeds.2018.10.041Investigators from multiple institutions conducted a case-control study to determine rates and predictors of Clostridium difficile infection (CDI) in children. Children were eligible if they were 2–17 years old and lived in Manitoba, Canada from 2005–2015. CDI cases were defined as positive laboratory test results for C difficile toxin in the context of watery, loose stools. Cases were identified using a Manitoba surveillance database that included all cases of CDI since 2005. Controls were children without CDI and were matched with cases on age, gender, postal code, and duration of residence in Manitoba. Demographics, health care utilization, and clinical characteristics were obtained from Manitoba population and provider claims databases.CDIs were classified as (a) hospital-associated (HA), defined as a toxin-positive specimen collected >48 hours after admission; (b) community-onset, hospital-associated (COHA), defined as a toxin-positive specimen collected while in the community or within 48 hours after admission in children who had been discharged from a hospital <4 weeks prior; (c) community-associated (CA), defined similarly with the exception that the individual had never been hospitalized or was discharged from a hospital >12 weeks before CDI onset; or (d) indeterminate. An incident case of CDI was defined as a positive specimen >8 weeks after a previous positive result or after no previous positive result. Recurrent CDI was defined as a positive specimen result 2 to <8 weeks from the last positive result.Investigators compared health care utilization and clinical characteristics of cases and controls. The overall rate of CDI over the study period was also calculated in person-years using the follow-up time of cases over the 10-year study period. Regression models were used to determine predictors for recurrent CDI after controlling for potential confounders.There were 193 incident CDI cases occurring in 162 children that were included in the analysis, along with 615 controls. CDIs were most often CA (51%); 19% were HA; and 15% were COHA. Recurrent CDIs accounted for 10.4% of CDI episodes. The overall CDI rate was 7.8 per 100,000 person-years.Compared to controls, cases had a significantly greater number of outpatient visits and hospitalizations in the year before CDI diagnosis. Cases also had significantly more prevalent comorbid conditions compared to controls, including chronic neurodegenerative disease, liver disease, kidney disease, diabetes, malignancy, Hirschsprung disease, and inflammatory bowel disease. In regression models, predictors of recurrent CDIs included malignancy, diabetes, chronic liver disease, chronic kidney disease, neurodegenerative disease, and exposure to antibiotics in the 3 months before CDI diagnosis.Investigators conclude that several comorbidities make children more susceptible to CDI and recurrent CDI.Dr Brady has disclosed no financial relationship relevant to this commentary. This commentary does not contain a discussion of an unapproved/investigative use of a commercial product/device.The investigators in the current study sought to determine the rates and predictors of CDI among children 2–17 years old using a population-based electronic database. Children <2 years old were excluded because interpretation of a C difficile–positive stool in those in this age range is difficult as approximately 10% are colonized with C difficile.1 The number of CDI cases was small and restricted to Manitoba, which may limit generalizability of the study results. Case fatality was significantly higher in children with CDI (10%) compared to controls (no deaths). However, the study design did not allow for determination of the specific cause of death and whether it was a direct effect of the CDI or worsening of an underlying comorbid condition.The authors report a significant difference in CDI incidence between age groups, with declining rates between 2 and 12 years and increasing infection rates between 13 and 17 years. Wendt et al also noted a decline in CDI incidence comparing the 2–3-year-old with the 4–9-year-old group. (See AAP Grand Rounds. 2014;32[2]:20.2) This may, in part, be explained by the lower overall prescribing of antibiotics as children progress from toddlers to preteens.3It is not clear why the incidence of CDI increased among those between 13 and 17 years of age in the current study. However, investigators4 from the Netherlands reported that for bronchitis episodes, adolescents were more likely to be prescribed antibiotics than children 0–4 and 5–11 years of age, respectively. Bronchitis is usually caused by viruses, so this is an example of unnecessary antibiotic prescribing among adolescents that may increase their risk for CDI.Children with comorbid conditions are at increased risk for acquisition and recurrence of CDI. Avoiding unnecessary antibiotics is the best measure to prevent CDI.The results of the current study underscore the increased frequency and predominance of CA-CDI versus HA-CDI.5 The oft prescribed cephalosporins and fluoroquinolones pose the highest risk, although virtually every antimicrobial has been associated with CDI.5

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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