Literature DB >> 9034947

Predicting Clostridium difficile stool cytotoxin results in hospitalized patients with diarrhea.

D A Katz1, D W Bates, E Rittenberg, A Onderdonk, K Sands, L A Barefoot, D Snydman.   

Abstract

OBJECTIVE: To validate a model for the prediction of Clostridium difficile cytotoxin assay results, and to identify a subgroup of patients with a very low likelihood of C. difficile-associated disease in whom the yield of routine cytotoxin testing is low.
DESIGN: Prospective cohort study. Relevant clinical symptoms, signs, and antibiotic exposure were recorded before reporting of assay results. Each predictor was assigned a score based on regression coefficients, and patients were stratified according to their total score.
SETTING: Two urban, tertiary care, university hospitals. PATIENTS: A total of 609 consecutive adult inpatients who received testing for C. difficile cytotoxin during a 3-month period in 1994.
MEASUREMENTS AND MAIN RESULTS: The prevalence of positive cytotoxin assays was 8% in the validation set, compared with 14% in the derivation set. Defining patients without both prior antibiotic use and at least one symptom predictor (significant diarrhea or abdominal pain) as a low-risk subgroup, the misclassification rate was 2.8% (5/177) for assay results; of the five misclassified cases patients, only one was judged to have C. difficile-associated disease. Use of this rule to identify low-risk patients could have potentially averted 29% of all cytotoxin assays.
CONCLUSIONS: Patients without a history of antibiotic use and either significant diarrhea or abdominal pain are unlikely to have positive C. difficile cytotoxin assays and may not require cytotoxin testing.

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Year:  1997        PMID: 9034947      PMCID: PMC1497057          DOI: 10.1046/j.1525-1497.1997.12108.x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  2 in total

1.  David Westfall Bates, MD: a conversation with the editor on improving patient safety, quality of care, and outcomes by using information technology. Interview by William Clifford Roberts.

Authors:  David Westfall Bates
Journal:  Proc (Bayl Univ Med Cent)       Date:  2005-04

2.  A cohort study for derivation and validation of a clinical prediction scale for hospital-onset Clostridium difficile infection.

Authors:  Subhash Chandra; Nyan Latt; Ujjwal Jariwala; Venkataraman Palabindala; Rameet Thapa; Chidamber B Alamelumangapuram; Margarita Noel; Surendra Marur; Niraj Jani
Journal:  Can J Gastroenterol       Date:  2012-12       Impact factor: 3.522

  2 in total

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