Evidence map›Paper›PMID 32212102›Full record

ArticleInfection2020

Clostridioides difficile infections in the intensive care unit: a monocentric cohort study.

Rebeca Cruz Aguilar, Jon Salmanton-García, Jonathan Carney, Boris Böll, Matthias Kochanek, Nathalie Jazmati, Oliver A Cornely, Maria J G T Vehreschild

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.1field-weighted citation impact, top 43% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. ImprovingAntibiotics (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Review
  6. Early Prognostic Stratification ofJournal of personalized medicine · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Rebeca Cruz AguilarDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany.
Jon Salmanton-GarcíaDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany.
Jonathan CarneyDepartment of Internal Medicine, Zentrum für Innere Medizin, Infectious Diseases, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany.
Boris BöllDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany.
Matthias KochanekDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany.
Nathalie JazmatiInstitute for Medical Microbiology, Immunology and Hygiene, University of Cologne, Cologne, Germany.
Oliver A CornelyDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany.
Maria J G T VehreschildDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany. maria.vehreschild@kgu.de.
University of Cologne · DEGerman Center for Infection Research · DEGoethe University Frankfurt · DEUniversity Hospital Frankfurt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatient-level data from Clostridioides difficile infections (CDI) treated in an intensive care setting is limited, despite the growing medical and financial burden of CDI.

methodsWe retrospectively analyzed data from 100 medical intensive care unit patients at the University Hospital Cologne with respect to demography, diagnostics, severity scores, treatment, and outcome. To analyze factors influencing response to treatment and death, a backward-stepwise multiple logistic regression model was applied.

resultsPatients had significant comorbidities including 26% being immunocompromised. The mean Charlson Comorbidity Index was 6.3 (10-year survival rate of 2.25%). At the time of diagnosis, the APACHE II was 17.4±6.3 (predicted mortality rate of 25%), and the ATLAS score was 5.2±1.9 (predicted cure rate of 75%). Overall, 47% of CDI cases were severe, 35% were complicated, and 23% were both. At least one concomitant antibiotic was given to 74% of patients. The cure rate after 10 and 90 days was 56% and 51%, respectively. Each unit increment in APACHE II score was associated with poorer treatment response (OR 0.931; 95% CI 0.872-0.995; p = 0.034). Age above 65 years was associated with death (OR 2.533; 95% CI 1.031-6.221; p = 0.043), and overall mortality at 90 days was 56%.

conclusionsCDI affects a high-risk population, in whom predictive scoring tools are not accurate, and outcomes are poor despite intensive treatment. Further research in this field is warranted to improve prediction scoring and patient outcomes.

Indexed as

Clostridium InfectionsComorbidityAdultAnti-Bacterial AgentsClostridioides difficileCohort StudiesFemaleGermanyHospitals, UniversityHumansIntensive Care UnitsLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk FactorsAnti-Bacterial AgentsClostridioides difficileDiarrheaIntensive careMorbidityMortality

Identifiers

PMID32212102
PMCPMC7256083
OpenAlexW3013691983

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.