Evidence map›Paper›PMID 29393522›Full record

ArticlePharmacotherapy2018

Derivation and Validation of a Clostridium difficile Infection Recurrence Prediction Rule in a National Cohort of Veterans.

Kelly R Reveles, Eric M Mortensen, Jim M Koeller, Kenneth A Lawson, Mary Jo V Pugh, Sarah A Rumbellow, Jacqueline R Argamany, Christopher R Frei

Open access · greenAbstract readValidation Study
In one paragraph

Article in Pharmacotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Derivation and validation of a prediction model for primary and recurrentAntimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
  4. Review
  5. Observational
  6. Long-term Outcomes Following Multiply Recurrent Clostridioides difficile Infection and Fecal Microbiota Transplantation.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Article
  7. The Risk ofAntibiotics (Basel, Switzerland) · 2022
    Article
  8. Article
  9. Analysis of predisposing factors for the development of Clostridioides difficile infection recurrence.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  10. Observational
  11. Article
  12. Clinics in colon and rectal surgery · 2020
    Review
  13. Risk Factors for PrimaryFrontiers in public health · 2020
    Observational
  14. Doctor, my patient has CDI and should continue to receive antibiotics. The (unresolved) risk of recurrent CDI.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2019
    Review
  15. Efficacy of prolonged tapered and pulsed vancomycin regimen on recurrentJournal of pharmaceutical health care and sciences · 2019
    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 3 institutions in 1 country.

Kelly R RevelesCollege of Pharmacy, The University of Texas at Austin, Austin, Texas.ORCID 0000-0001-8880-4879
Eric M MortensenDepartment of Internal Medicine and Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
Jim M KoellerCollege of Pharmacy, The University of Texas at Austin, Austin, Texas.
Kenneth A LawsonCollege of Pharmacy, The University of Texas at Austin, Austin, Texas.
Mary Jo V PughSouth Texas Veterans Health Care System, San Antonio, Texas.
Sarah A RumbellowCollege of Pharmacy, The University of Texas at Austin, Austin, Texas.
Jacqueline R ArgamanyCollege of Pharmacy, The University of Texas at Austin, Austin, Texas.
Christopher R FreiCollege of Pharmacy, The University of Texas at Austin, Austin, Texas.
Austin College · USThe University of Texas Health Science Center at San Antonio · USVA North Texas Health Care System · US

Funding

Institute for Integration of Medicine & Science: A Partnership to Improve HealthUL1TR001120 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARK, ROBERT A, HARGREAVES, KENNETH M · 2013 to 2017
$16.5M
San Antonio OAIC - Research Education Component (REC)P30AG044271 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Adam Salmon, Elena Volpi · 2015 to 2026
$14.1M
NCATS NIH HHS UL1 TR001120NIA NIH HHS P30 AG044271
6 · The paper itself

Abstract

STUDY

objectivePrior studies have identified risk factors for recurrent Clostridium difficile infection (CDI), but few studies have integrated these factors into a clinical prediction rule that can aid clinical decision-making. The objectives of this study were to derive and validate a CDI recurrence prediction rule to identify patients at risk for first recurrence in a national cohort of veterans.

designRetrospective cohort study. DATA SOURCE: Veterans Affairs Informatics and Computing Infrastructure. PATIENTS: A total of 22,615 adult Veterans Health Administration beneficiaries with first-episode CDI between October 1, 2002, and September 30, 2014; of these patients, 7538 were assigned to the derivation cohort and 15,077 to the validation cohort. MEASUREMENTS AND MAIN

resultsA 60-day CDI recurrence prediction rule was created in a derivation cohort using backward logistic regression. Those variables significant at p<0.01 were assigned an integer score proportional to the regression coefficient. The model was then validated in the derivation cohort and a separate validation cohort. Patients were then split into three risk categories, and rates of recurrence were described for each category. The CDI recurrence prediction rule included the following predictor variables with their respective point values: prior third- and fourth-generation cephalosporins (1 point), prior proton pump inhibitors (1 point), prior antidiarrheals (1 point), nonsevere CDI (2 points), and community-onset CDI (3 points). In the derivation cohort, the 60-day CDI recurrence risk for each score ranged from 7.5% (0 points) to 57.9% (8 points). The risk score was strongly correlated with recurrence (R

conclusionSeveral CDI and patient-specific factors were independently associated with 60-day CDI recurrence risk. When integrated into a clinical prediction rule, higher risk scores and risk classes were strongly correlated with CDI recurrence. This clinical prediction rule can be used by providers to identify patients at high risk for CDI recurrence and help guide preventive strategy decisions, while accounting for clinical judgment.

Indexed as

Clinical Decision-MakingDecision Support TechniquesAgedClostridium InfectionsCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedRecurrenceRetrospective StudiesRisk FactorsVeteransClostridium difficileepidemiologyprediction rule

Identifiers

PMID29393522
PMCPMC5867250
OpenAlexW2785327441

What OpenQuestion holds

Textmetadata
LicenceTDM
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.