ArticleBMC infectious diseases2013
Derivation and validation of a simple, accurate and robust prediction rule for risk of mortality in patients with Clostridium difficile infection.
Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection.PloS one · 2019Pooled it
- Management of severe and fulminantJournal of medical microbiology · 2025Review
- A Predictive Model to Identify ComplicatedOpen forum infectious diseases · 2023Article
- Article
- 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
- Laboratory markers predictive of fulminantInfection prevention in practice · 2021Article
- Validation of a Clinical Risk-scoring Algorithm for Scrub Typhus Severity in South India.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021Article
- Bezlotoxumab for Preventing Recurrent Clostridioides difficile Infection: A Narrative Review from Pathophysiology to Clinical Studies.Infectious diseases and therapy · 2020Review
- Article
- Evaluation of a risk score to predict futureHuman vaccines & immunotherapeutics · 2019Observational
- Can we improve the therapy of Clostridium difficile infection in elderly patients?Wiener klinische Wochenschrift · 2016Article
- Building a Better Crystal Ball for Predicting Complications of Clostridium difficile Infection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015Article
- Serum mannose-binding lectin concentration, but not genotype, is associated with Clostridium difficile infection recurrence: a prospective cohort study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014Article
- Article
- Validation of a clinical risk-scoring algorithm for severe scrub typhus.Risk management and healthcare policy · 2014Article
- Clostridium difficile outbreak caused by NAP1/BI/027 strain and non-027 strains in a Mexican hospital.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious DiseasesArticle
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClostridium difficile infection poses a significant healthcare burden. However, the derivation of a simple, evidence based prediction rule to assist patient management has not yet been described.
methodUnivariate, multivariate and decision tree procedures were used to deduce a prediction rule from over 186 variables; retrospectively collated from clinical data for 213 patients. The resulting prediction rule was validated on independent data from a cohort of 158 patients described by Bhangu et al. (Colorectal Disease, 12(3):241-246, 2010).
resultsSerum albumin levels (g/L) (P = 0.001), respiratory rate (resps /min) (P = 0.002), C-reactive protein (mg/L) (P = 0.034) and white cell count (mcL) (P = 0.049) were predictors of all-cause mortality. Threshold levels of serum albumin ≤ 24.5 g/L, C- reactive protein >228 mg/L, respiratory rate >17 resps/min and white cell count >12 × 10(3) mcL were associated with an increased risk of all-cause mortality. A simple four variable prediction rule was devised based on these threshold levels and when tested on the initial data, yield an area under the curve score of 0.754 (P < 0.001) using receiver operating characteristics. The prediction rule was then evaluated using independent data, and yield an area under the curve score of 0.653 (P = 0.001).
conclusionsFour easily measurable clinical variables can be used to assess the risk of mortality of patients with Clostridium difficile infection and remains robust with respect to independent data.
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