Evidence map›Paper›PMID 34459885›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

External Validation and Comparison of Clostridioides difficile Severity Scoring Systems.

D Alexander Perry, Daniel Shirley, Dejan Micic, Pratish C Patel, Rosemary Putler, Anitha Menon, Vincent B Young, Krishna Rao

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Biomarkers for Early Severity Prediction inMedicina (Kaunas, Lithuania) · 2026
    Review
  2. Review
  3. Defining FulminantOpen forum infectious diseases · 2025
    Article
  4. Predictive value of fecal calprotectin and lactoferrin levels for negative outcomes in Clostridioides difficile infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  5. Infection control and hospital epidemiology · 2023
    Article
  6. Prospective evaluation of data-driven models to predict daily risk ofInfection control and hospital epidemiology · 2023
    Article
  7. A Predictive Model to Identify ComplicatedOpen forum infectious diseases · 2023
    Article
  8. Article
  9. Validation of Clinical Risk Models for Clostridioides difficileAntimicrobial agents and chemotherapy · 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.

D Alexander PerryDepartment of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-1534-153X
Daniel ShirleyDivision of Infectious Disease, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Dejan MicicDepartment of Internal Medicine, Section of Gastroenterology, Hepatology and Nutrition, University of Chicago Medicine, Chicago, Illinois,USA.
Pratish C PatelDivision of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Rosemary PutlerDepartment of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
Anitha MenonUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Vincent B YoungDepartment of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
Krishna RaoDepartment of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan · USUniversity of Chicago · USUniversity of Wisconsin–Madison · USVanderbilt University Medical Center · US

Funding

Systems biology of Clostridium difficile infectionU01AI124255 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCHLOSS, PATRICK DAVID, YOUNG, VINCENT B · 2016 to 2020
$9.8M
Data-Driven Interventions for Reducing C. difficile IncidenceR01HS027431 · AHRQ · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RAO, KRISHNA, WIENS, JENNA · 2020 to 2024
$2.4M
Host and Microbial Biomarkers Related to the Development of Complicated Clostridium difficile InfectionR21AI120599 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOUNG, VINCENT B · 2015 to 2016
$426k
AHRQ HHS R01 HS027431NIAID NIH HHS R21 AI120599NIAID NIH HHS U01 AI124255
6 · The paper itself

Abstract

backgroundMany models have been developed to predict severe outcomes from Clostridioides difficile infection (CDI). These models are usually developed at a single institution and largely are not externally validated. Our aim in this study was to validate previously published risk scores in a multicenter cohort of patients with CDI.

methodsThis was a retrospective study on 4 inpatient cohorts with CDI from 3 distinct sites: the universities of Michigan (2010-2012 and 2016), Chicago (2012), and Wisconsin (2012). The primary composite outcome was admission to an intensive care unit, colectomy, and/or death attributed to CDI within 30 days of positive testing. Both within each cohort and combined across all cohorts, published CDI severity scores were assessed and compared to each other and the Infectious Diseases Society of America (IDSA) guideline definitions of severe and fulminant CDI.

resultsA total of 3646 patients were included for analysis. Including the 2 IDSA guideline definitions, 14 scores were assessed. Performance of scores varied within each cohort and in the combined set (mean area under the receiver operator characteristic curve [AuROC], 0.61; range, 0.53-0.66). Only half of the scores had performance at or better than IDSA severe and fulminant definitions (AuROCs of 0.64 and 0.63, respectively). Most of the scoring systems had more false than true positives in the combined set (mean, 81.5%; range, 0%-91.5%).

conclusionsNo published CDI severity score showed stable, good predictive ability for adverse outcomes across multiple cohorts/institutions or in a combined multicenter cohort.

Indexed as

Clostridioides difficileClostridium InfectionsClostridioidesHumansRetrospective StudiesRisk FactorsCDIsevere Clostridioides difficile infectiontoxic megacolon

Identifiers

PMID34459885
PMCPMC9187324
OpenAlexW3198566262

What OpenQuestion holds

Textmetadata
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.