ArticlePloS one2015
A Multi-Center Prospective Derivation and Validation of a Clinical Prediction Tool for Severe Clostridium difficile Infection.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection.PloS one · 2019Pooled it
- Prediction tools for unfavourable outcomes in Clostridium difficile infection: a systematic review.PloS one · 2012Pooled it
- Olfactomedin-4Infection and immunity · 2026Article
- Risk Factors for Recurrence and In-Hospital Mortality in Patients withJournal of clinical medicine · 2025Article
- Factors associated with failure of fecal microbiota transplant for recurrentTherapeutic advances in gastroenterology · 2025Article
- An integrated pipeline for prediction of Clostridioides difficile infection.Scientific reports · 2023Article
- Article
- A Predictive Model to Identify ComplicatedOpen forum infectious diseases · 2023Article
- Validation of Clinical Risk Models for Clostridioides difficileAntimicrobial agents and chemotherapy · 2022Article
- External Validation and Comparison of Clostridioides difficile Severity Scoring Systems.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Article
- A Risk Score to PredictOpen forum infectious diseases · 2021Article
- Leptin Receptor q223r Polymorphism InfluencesFrontiers in cellular and infection microbiology · 2021Article
- Fecal Microbiota Transplantation: Redefining Surgical Management of RefractoryClinics in colon and rectal surgery · 2020Review
- Evolving Strategies to Manage Clostridium difficile Colitis.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020Review
- Treatment of Severe and Fulminnant Clostridioides difficile Infection.Current treatment options in gastroenterology · 2019Review
- Using Machine Learning and the Electronic Health Record to Predict ComplicatedOpen forum infectious diseases · 2019Article
- Patient and Strain Characteristics Associated With Clostridium difficile Transmission and Adverse Outcomes.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018Article
- Healthcare-associated Clostridium difficile infection: role of correct hand hygiene in cross-infection control.Journal of preventive medicine and hygiene · 2018Article
- Leptin receptor q223r polymorphism influences neutrophil mobilization after Clostridium difficile infection.Mucosal immunology · 2018Article
- A Generalizable, Data-Driven Approach to Predict Daily Risk of Clostridium difficile Infection at Two Large Academic Health Centers.Infection control and hospital epidemiology · 2018Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
BACKGROUND AND
aimsPrediction of severe clinical outcomes in Clostridium difficile infection (CDI) is important to inform management decisions for optimum patient care. Currently, treatment recommendations for CDI vary based on disease severity but validated methods to predict severe disease are lacking. The aim of the study was to derive and validate a clinical prediction tool for severe outcomes in CDI.
methodsA cohort totaling 638 patients with CDI was prospectively studied at three tertiary care clinical sites (Boston, Dublin and Houston). The clinical prediction rule (CPR) was developed by multivariate logistic regression analysis using the Boston cohort and the performance of this model was then evaluated in the combined Houston and Dublin cohorts.
resultsThe CPR included the following three binary variables: age ≥ 65 years, peak serum creatinine ≥ 2 mg/dL and peak peripheral blood leukocyte count of ≥ 20,000 cells/μL. The Clostridium difficile severity score (CDSS) correctly classified 76.5% (95% CI: 70.87-81.31) and 72.5% (95% CI: 67.52-76.91) of patients in the derivation and validation cohorts, respectively. In the validation cohort, CDSS scores of 0, 1, 2 or 3 were associated with severe clinical outcomes of CDI in 4.7%, 13.8%, 33.3% and 40.0% of cases respectively.
conclusionsWe prospectively derived and validated a clinical prediction rule for severe CDI that is simple, reliable and accurate and can be used to identify high-risk patients most likely to benefit from measures to prevent complications of CDI.
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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.