Evidence map›Paper›PMID 25129565›Full record

ArticleInfection2014

Concordance of the SHEA-IDSA severity classification for Clostridium difficile infection and the ATLAS bedside scoring system in hospitalized adult patients.

D W Mulherin, A M Hutchison, G J Thomas, R A Hansen, D T Childress

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Article in Infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

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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

7 citing papers in PubMed.

  1. Management of severe and fulminantJournal of medical microbiology · 2025
    Review
  2. Prediction of in-hospital mortality ofBMJ open gastroenterology · 2021
    Article
  3. Article
  4. Article
  5. Article
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4 · The record

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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

5 authors.

D W MulherinDepartment of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN, USA, diana.l.wells@vanderbilt.edu.
A M Hutchison
G J Thomas
R A Hansen
D T Childress

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Society for Healthcare Epidemiology of America and Infectious Diseases Society of America (SHEA-IDSA) guidelines for the treatment of Clostridium difficile infection (CDI) recommend initial treatment of CDI based on disease severity. This severity definition has not been validated or evaluated based on clinical outcomes. The ATLAS scoring system is a validated tool useful in predicting treatment response and mortality in CDI. The main purpose of this study is to evaluate the concordance of the ATLAS scoring system and the SHEA-IDSA staging for CDI severity.

methodsThis was a retrospective study which included hospitalized patients with confirmed CDI. Bivariate analyses compared baseline demographics and clinical information between patients with nonsevere and severe CDI based on the SHEA-IDSA criteria for CDI severity. Kappa scores were calculated to compare the concordance of the two scoring systems in defining CDI severity. Sensitivity and specificity of the ATLAS scoring system to determine CDI severity were calculated using the SHEA-IDSA criteria as the reference standard.

resultsSixty-four patients met inclusion criteria. Of those, 62.5% were classified as mild to moderate CDI, 25% were severe, uncomplicated, and 12.5% were severe, complicated based on SHEA-IDSA criteria. In the bivariate analyses, ATLAS score breakpoints of ≥ 4, ≥ 5, and ≥ 6 revealed moderate agreement with the SHEA-IDSA classification for severity. The sensitivities and specificities for ATLAS scores in predicting CDI severity ranged from 58.3 to 87.5, and 67.5-87.5%, respectively.

conclusionThe ATLAS score may be useful in evaluating CDI severity and determining drug therapy selection.

Indexed as

AgedAged, 80 and overClostridioides difficileClostridium InfectionsFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificitySeverity of Illness Index

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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.