Literature DB >> 28939450

Prediction of recurrent clostridium difficile infection at the bedside: the GEIH-CDI score.

Javier Cobo1, Esperanza Merino2, Cristina Martínez3, Alberto Cózar-Llistó4, Evelyn Shaw5, Teresa Marrodán6, Esther Calbo7, Elena Bereciartúa8, Luis A Sánchez-Muñoz9, Miguel Salavert10, M Teresa Pérez-Rodríguez11, Dácil García-Rosado12, J María Bravo-Ferrer13, Juan Gálvez-Acebal14, César Henríquez-Camacho15, Jordi Cuquet16, Berta Pino-Calm17, Luis Torres18, Antonio Sánchez-Porto19, Borja M Fernández-Félix20.   

Abstract

Recurrence of Clostridium difficile infection (CDI) has major consequences for both patients and the health system. The ability to predict which patients are at increased risk of recurrent CDI makes it possible to select candidates for treatment with new drugs and therapies (including fecal microbiota transplantation) that have proven to reduce the incidence of recurrence of CDI. Our objective was to develop a clinical prediction tool, the GEIH-CDI score, to determine the risk of recurrence of CDI. Predictors of recurrence of CDI were investigated using logistic regression in a prospective cohort of 274 patients diagnosed with CDI. The model was calibrated using the Hosmer-Lemeshow test. The tool comprises four factors: age (70-79 years and ≥80 years), history of CDI during the previous year, direct detection of toxin in stool, and persistence of diarrhea on the fifth day of treatment. The functioning of the GEIH-CDI score was validated in a prospective cohort of 183 patients. The area under the ROC curve was 0.72 (0.65-0.79). Application of the tool makes it possible to select patients at high risk (>50%) of recurrence and patients at low risk (<10%) of recurrence. GEIH-CDI score may be useful for clinicians treating patients with CDI.
Copyright © 2017 Elsevier B.V. and International Society of Chemotherapy. All rights reserved.

Entities:  

Keywords:  Clinical prediction tool; Clostridium difficile; Recurrence

Mesh:

Year:  2017        PMID: 28939450     DOI: 10.1016/j.ijantimicag.2017.09.010

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


  10 in total

1.  Real-life experience with fidaxomicin in Clostridioides difficile infection: a multicentre cohort study on 244 episodes.

Authors:  Rosa Escudero-Sánchez; Angela Valencia-Alijo; Sandra Cuéllar Tovar; Esperanza Merino-de Lucas; Sergio García Fernández; Ángela Gutiérrez-Rojas; Antonio Ramos-Martínez; Miguel Salavert Lletí; Iván Castro Hernández; Livia Giner; Javier Cobo
Journal:  Infection       Date:  2021-01-08       Impact factor: 3.553

2.  Toxin B PCR Amplification Cycle Threshold Adds Little to Clinical Variables for Predicting Outcomes in Clostridium difficile Infection: a Retrospective Cohort Study.

Authors:  Julia Origüen; María Ángeles Orellana; Mario Fernández-Ruiz; Laura Corbella; Rafael San Juan; María Ruiz-Ruigómez; Francisco López-Medrano; Manuel Lizasoain; Tamara Ruiz-Merlo; Guillermo Maestro-de la Calle; Patricia Parra; Jennifer Villa; Rafael Delgado; José María Aguado
Journal:  J Clin Microbiol       Date:  2019-01-30       Impact factor: 5.948

3.  Gut metabolites predict Clostridioides difficile recurrence.

Authors:  Jennifer J Dawkins; Jessica R Allegretti; Travis E Gibson; Emma McClure; Mary Delaney; Lynn Bry; Georg K Gerber
Journal:  Microbiome       Date:  2022-06-09       Impact factor: 16.837

4.  Recurrent community-acquired Clostridium(Clostridioides)difficile infection in Serbianchildren.

Authors:  Stojanovic Predrag; Ed J Kuijper; Stojanović Nikola; Karuna E W Vendrik; Radulović Niko
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2019-11-12       Impact factor: 3.267

5.  An Observational Cohort Study of Clostridium difficile Ribotype 027 and Recurrent Infection.

Authors:  Krishna Rao; Peter D R Higgins; Vincent B Young
Journal:  mSphere       Date:  2018-05-23       Impact factor: 4.389

6.  Using Machine Learning and the Electronic Health Record to Predict Complicated Clostridium difficile Infection.

Authors:  Benjamin Y Li; Jeeheh Oh; Vincent B Young; Krishna Rao; Jenna Wiens
Journal:  Open Forum Infect Dis       Date:  2019-04-20       Impact factor: 3.835

Review 7.  Doctor, my patient has CDI and should continue to receive antibiotics. The (unresolved) risk of recurrent CDI.

Authors:  I Castro; M Tasias; E Calabuig; M Salavert
Journal:  Rev Esp Quimioter       Date:  2019-09       Impact factor: 1.553

8.  External validation of two prediction tools for patients at risk for recurrent Clostridioides difficile infection.

Authors:  Tessel M van Rossen; Laura J van Dijk; Martijn W Heymans; Olaf M Dekkers; Christina M J E Vandenbroucke-Grauls; Yvette H van Beurden
Journal:  Therap Adv Gastroenterol       Date:  2021-01-09       Impact factor: 4.409

9.  Follow-on RifAximin for the Prevention of recurrence following standard treatment of Infection with Clostridium Difficile (RAPID): a randomised placebo controlled trial.

Authors:  Giles Major; Lucy Bradshaw; Nafisa Boota; Kirsty Sprange; Mathew Diggle; Alan Montgomery; Aida Jawhari; Robin C Spiller
Journal:  Gut       Date:  2018-09-25       Impact factor: 23.059

10.  Recommendations for the diagnosis and treatment of Clostridioides difficile infection: An official clinical practice guideline of the Spanish Society of Chemotherapy (SEQ), Spanish Society of Internal Medicine (SEMI) and the working group of Postoperative Infection of the Spanish Society of Anesthesia and Reanimation (SEDAR).

Authors:  E Bouza; J M Aguado; L Alcalá; B Almirante; P Alonso-Fernández; M Borges; J Cobo; J Guardiola; J P Horcajada; E Maseda; J Mensa; N Merchante; P Muñoz; J L Pérez Sáenz; M Pujol; E Reigadas; M Salavert; J Barberán
Journal:  Rev Esp Quimioter       Date:  2020-02-20       Impact factor: 1.553

  10 in total

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