IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0226672.html
   My bibliography  Save this article

External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection

Author

Listed:
  • Catherine Beauregard-Paultre
  • Claire Nour Abou Chakra
  • Allison McGeer
  • Annie-Claude Labbé
  • Andrew E Simor
  • Wayne Gold
  • Matthew P Muller
  • Jeff Powis
  • Kevin Katz
  • Suzanne M Cadarette
  • Jacques Pépin
  • Louis Valiquette

Abstract

Background: Several clinical prediction rules (CPRs) for complications and mortality of Clostridioides difficile infection (CDI) have been developed but only a few have gone through external validation, and none is widely recommended in clinical practice. Methods: CPRs were identified through a systematic review. We included studies that predicted severe or complicated CDI (cCDI) and mortality, reported at least an internal validation step, and for which data were available with minimal modifications. Data from a multicenter prospective cohort of 1380 adults with confirmed CDI were used for external validation. In this cohort, cCDI occurred in 8% of the patients and 30-day all-cause mortality occurred in 12%. The performance of each tool was assessed using individual outcomes, with the same cut-offs and standard parameters. Results: Seven CPRs were assessed. Three predictive scores for cCDI showed low sensitivity (25–61%) and positive predictive value (PPV; 9–31%), but moderate specificity (54–90%) and negative predictive value (NPV; 82–95%). One model [using age, white blood cell count (WBC), narcotic use, antacids use, and creatinine ratio > 1.5× the normal level as covariates] showed a probability of 25% of cCDI at the optimal cut-off point with 36% sensitivity and 84% specificity. Two scores for mortality had low sensitivity (4–55%) and PPV (25–31%), and moderate specificity (71–78%) and NPV (87–92%). One predictive model for 30-day all-cause mortality [Charlson comorbidity index, WBC, blood urea nitrogen (BUN), diagnosis in ICU, and delirium] showed an AUC-ROC of 0.74. All other CPRs showed lower AUC values (0.63–0.69). Errors in calibration ranged from 12%- 27%. Conclusions: Included CPRs showed moderate performance for clinical use in a large validation cohort with a majority of patients infected with ribotype 027 strains and a low rate of cCDI and mortality. These data show that better CPRs need to be developed and validated.

Suggested Citation

  • Catherine Beauregard-Paultre & Claire Nour Abou Chakra & Allison McGeer & Annie-Claude Labbé & Andrew E Simor & Wayne Gold & Matthew P Muller & Jeff Powis & Kevin Katz & Suzanne M Cadarette & Jacques , 2019. "External validation of clinical prediction rules for complications and mortality following Clostridioides difficile infection," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0226672
    DOI: 10.1371/journal.pone.0226672
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0226672
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226672&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0226672?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ewout W Steyerberg & Karel G M Moons & Danielle A van der Windt & Jill A Hayden & Pablo Perel & Sara Schroter & Richard D Riley & Harry Hemingway & Douglas G Altman & for the PROGRESS Group, 2013. "Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research," PLOS Medicine, Public Library of Science, vol. 10(2), pages 1-9, February.
    2. Claire Nour Abou Chakra & Jacques Pepin & Stephanie Sirard & Louis Valiquette, 2014. "Risk Factors for Recurrence, Complications and Mortality in Clostridium difficile Infection: A Systematic Review," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-14, June.
    3. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    4. Richard D Riley & Jill A Hayden & Ewout W Steyerberg & Karel G M Moons & Keith Abrams & Panayiotis A Kyzas & Núria Malats & Andrew Briggs & Sara Schroter & Douglas G Altman & Harry Hemingway & for the, 2013. "Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research," PLOS Medicine, Public Library of Science, vol. 10(2), pages 1-9, February.
    5. Claire Nour Abou Chakra & Jacques Pepin & Louis Valiquette, 2012. "Prediction Tools for Unfavourable Outcomes in Clostridium difficile Infection: A Systematic Review," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-8, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nath Adulkasem & Phichayut Phinyo & Jiraporn Khorana & Dumnoensun Pruksakorn & Theerachai Apivatthakakul, 2021. "Development of Clinical Prediction Rules for One-Year Postoperative Functional Outcome in Patients with Intertrochanteric Fractures: The Intertrochanteric Fracture Ambulatory Prediction (IT-AP) Tool," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    2. Mario Dioguardi & Francesca Spirito & Diego Sovereto & Mario Alovisi & Giuseppe Troiano & Riccardo Aiuto & Daniele Garcovich & Vito Crincoli & Luigi Laino & Angela Pia Cazzolla & Giorgia Apollonia Cal, 2022. "MicroRNA-21 Expression as a Prognostic Biomarker in Oral Cancer: Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(6), pages 1-12, March.
    3. Stephana J Cherak & Andrea Soo & Kyla N Brown & E Wesley Ely & Henry T Stelfox & Kirsten M Fiest, 2020. "Development and validation of delirium prediction model for critically ill adults parameterized to ICU admission acuity," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
    4. François Luthi & Olivier Deriaz & Philippe Vuistiner & Cyrille Burrus & Roger Hilfiker, 2014. "Predicting Non Return to Work after Orthopaedic Trauma: The Wallis Occupational Rehabilitation RisK (WORRK) Model," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-11, April.
    5. Julius Sim & Lucy Teece & Martin S Dennis & Christine Roffe & SOࠢS Study Team, 2016. "Validation and Recalibration of Two Multivariable Prognostic Models for Survival and Independence in Acute Stroke," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-17, May.
    6. Daan Nieboer & Tjeerd van der Ploeg & Ewout W Steyerberg, 2016. "Assessing Discriminative Performance at External Validation of Clinical Prediction Models," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-10, February.
    7. İlkay Unay-Gailhard & Mark A. Brennen, 2022. "How digital communications contribute to shaping the career paths of youth: a review study focused on farming as a career option," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1491-1508, December.
    8. Mahin Ghafari & Vali Baigi & Zahra Cheraghi & Amin Doosti-Irani, 2016. "The Prevalence of Asymptomatic Bacteriuria in Iranian Pregnant Women: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-10, June.
    9. Santos Urbina & Sofía Villatoro & Jesús Salinas, 2021. "Self-Regulated Learning and Technology-Enhanced Learning Environments in Higher Education: A Scoping Review," Sustainability, MDPI, vol. 13(13), pages 1-12, June.
    10. Nadine Desrochers & Adèle Paul‐Hus & Jen Pecoskie, 2017. "Five decades of gratitude: A meta‐synthesis of acknowledgments research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2821-2833, December.
    11. Maryono, Maryono & Killoes, Aditya Marendra & Adhikari, Rajendra & Abdul Aziz, Ammar, 2024. "Agriculture development through multi-stakeholder partnerships in developing countries: A systematic literature review," Agricultural Systems, Elsevier, vol. 213(C).
    12. Alene Sze Jing Yong & Yi Heng Lim & Mark Wing Loong Cheong & Ednin Hamzah & Siew Li Teoh, 2022. "Willingness-to-pay for cancer treatment and outcome: a systematic review," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1037-1057, August.
    13. Agnieszka A. Tubis & Katarzyna Grzybowska, 2022. "In Search of Industry 4.0 and Logistics 4.0 in Small-Medium Enterprises—A State of the Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    14. García-Poole, Chloe & Byrne, Sonia & Rodrigo, María José, 2019. "How do communities intervene with adolescents at psychosocial risk? A systematic review of positive development programs," Children and Youth Services Review, Elsevier, vol. 99(C), pages 194-209.
    15. Qing Ye & Bao-Xin Qian & Wei-Li Yin & Feng-Mei Wang & Tao Han, 2016. "Association between the HFE C282Y, H63D Polymorphisms and the Risks of Non-Alcoholic Fatty Liver Disease, Liver Cirrhosis and Hepatocellular Carcinoma: An Updated Systematic Review and Meta-Analysis o," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-17, September.
    16. Bishal Mohindru & David Turner & Tracey Sach & Diana Bilton & Siobhan Carr & Olga Archangelidi & Arjun Bhadhuri & Jennifer A. Whitty, 2020. "Health State Utility Data in Cystic Fibrosis: A Systematic Review," PharmacoEconomics - Open, Springer, vol. 4(1), pages 13-25, March.
    17. Neal R. Haddaway & Matthew J. Page & Chris C. Pritchard & Luke A. McGuinness, 2022. "PRISMA2020: An R package and Shiny app for producing PRISMA 2020‐compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(2), June.
    18. Ding Zhu & Mindan Wu & Yuan Cao & Shihua Lin & Nanxia Xuan & Chen Zhu & Wen Li & Huahao Shen, 2018. "Heated humidification did not improve compliance of positive airway pressure and subjective daytime sleepiness in obstructive sleep apnea syndrome: A meta-analysis," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-16, December.
    19. Pelai, Ricardo & Hagerman, Shannon M. & Kozak, Robert, 2020. "Biotechnologies in agriculture and forestry: Governance insights from a comparative systematic review of barriers and recommendations," Forest Policy and Economics, Elsevier, vol. 117(C).
    20. Wesam Salah Alaloul & Muhammad Altaf & Muhammad Ali Musarat & Muhammad Faisal Javed & Amir Mosavi, 2021. "Systematic Review of Life Cycle Assessment and Life Cycle Cost Analysis for Pavement and a Case Study," Sustainability, MDPI, vol. 13(8), pages 1-38, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0226672. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.