IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0131963.html
   My bibliography  Save this article

External Validation of a Referral Rule for Axial Spondyloarthritis in Primary Care Patients with Chronic Low Back Pain

Author

Listed:
  • Lonneke van Hoeven
  • Yvonne Vergouwe
  • P D M de Buck
  • Jolanda J Luime
  • Johanna M W Hazes
  • Angelique E A M Weel

Abstract

Objectives: To validate and optimize a referral rule to identify primary care patients with chronic low back pain (CLBP) suspected for axial spondyloarthritis (axSpA). Design: Cross-sectional study with data from 19 Dutch primary care practices for development and 38 for validation. Participants: Primary care patients aged 18-45 years with CLBP existing more than three months and onset of back pain started before the age of 45 years. Main Outcome: The number of axSpA patients according to the ASAS criteria. Methods: The referral rule (CaFaSpA referral rule) was developed using 364 CLBP patients from 19 primary care practices and contains four easy to use variables; inflammatory back pain, good response to nonsteriodal anti-inflammatory drugs, family history of spondyloarthritis and a back pain duration longer than five years. This referral rule is positive when at least two variables are present. Validation of the CaFaSpA rule was accomplished in 579 primary care CLBP patients from 38 practices from other areas. Performance of the referral rule was assessed by c-statistic and calibration plot. To fit the final referral rule the development and validation datasets were pooled leading to a total study population of 943 primary care participants. Results: The referral rule was validated in 579 patients (41% male, mean age 36 (sd7.0). The percentage of identified axSpA patients was 16% (n=95). External validation resulted in satisfactory calibration and reasonable discriminative ability (c-statistics 0.70 [95% CI, 0.64-0.75]). In the pooled dataset sensitivity and specificity of the referral rule were 75% and 58%. Conclusions: The CaFaSpA referral rule for axSpA consists of four easy to use predictors for primary care physicians and has a good predictive value in this validation study. The referral rule has the potential to be a screening tool for primary care by identifying CLBP patients suspected for axSpA.

Suggested Citation

  • Lonneke van Hoeven & Yvonne Vergouwe & P D M de Buck & Jolanda J Luime & Johanna M W Hazes & Angelique E A M Weel, 2015. "External Validation of a Referral Rule for Axial Spondyloarthritis in Primary Care Patients with Chronic Low Back Pain," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-12, July.
  • Handle: RePEc:plo:pone00:0131963
    DOI: 10.1371/journal.pone.0131963
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0131963
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0131963&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0131963?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. 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.
    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. Adrian C Traeger & Nicholas Henschke & Markus Hübscher & Christopher M Williams & Steven J Kamper & Christopher G Maher & G Lorimer Moseley & James H McAuley, 2016. "Estimating the Risk of Chronic Pain: Development and Validation of a Prognostic Model (PICKUP) for Patients with Acute Low Back Pain," PLOS Medicine, Public Library of Science, vol. 13(5), pages 1-21, May.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Alwin Schierenberg & Margaretha C Minnaard & Rogier M Hopstaken & Alma C van de Pol & Berna D L Broekhuizen & Niek J de Wit & Johannes B Reitsma & Saskia F van Vugt & Aleida W Graffelman & Hasse Melby, 2016. "External Validation of Prediction Models for Pneumonia in Primary Care Patients with Lower Respiratory Tract Infection: An Individual Patient Data Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
    10. Phung Khanh Lam & Dong Thi Hoai Tam & Nguyen Minh Dung & Nguyen Thi Hanh Tien & Nguyen Tan Thanh Kieu & Cameron Simmons & Jeremy Farrar & Bridget Wills & Marcel Wolbers, 2015. "A Prognostic Model for Development of Profound Shock among Children Presenting with Dengue Shock Syndrome," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-13, May.
    11. Andrew D A C Smith & Kate Tilling & Debbie A Lawlor & Scott M Nelson, 2015. "External Validation and Calibration of IVFpredict: A National Prospective Cohort Study of 130,960 In Vitro Fertilisation Cycles," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-15, April.
    12. Michael Hiesmayr & Sophie Frantal & Karin Schindler & Michael Themessl-Huber & Mohamed Mouhieddine & Christian Schuh & Elisabeth Pernicka & Stéphane Schneider & Pierre Singer & Olle Ljunqvist & Claude, 2015. "The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA): Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, ," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
    13. Igor O Korolev & Laura L Symonds & Andrea C Bozoki & Alzheimer's Disease Neuroimaging Initiative, 2016. "Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-25, February.
    14. Jia You & Yu Guo & Yi Zhang & Ju-Jiao Kang & Lin-Bo Wang & Jian-Feng Feng & Wei Cheng & Jin-Tai Yu, 2023. "Plasma proteomic profiles predict individual future health risk," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    15. Jakob Steinfeldt & Benjamin Wild & Thore Buergel & Maik Pietzner & Julius Upmeier zu Belzen & Andre Vauvelle & Stefan Hegselmann & Spiros Denaxas & Harry Hemingway & Claudia Langenberg & Ulf Landmesse, 2025. "Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    16. Jakob Steinfeldt & Benjamin Wild & Thore Buergel & Maik Pietzner & Julius Upmeier zu Belzen & Andre Vauvelle & Stefan Hegselmann & Spiros Denaxas & Harry Hemingway & Claudia Langenberg & Ulf Landmesse, 2024. "RETRACTED ARTICLE: Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    17. Todd J. Levy & Kevin Coppa & Jinxuan Cang & Douglas P. Barnaby & Marc D. Paradis & Stuart L. Cohen & Alex Makhnevich & David Klaveren & David M. Kent & Karina W. Davidson & Jamie S. Hirsch & Theodoros, 2022. "Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    18. Peggy Sekula & Susan Mallett & Douglas G Altman & Willi Sauerbrei, 2017. "Did the reporting of prognostic studies of tumour markers improve since the introduction of REMARK guideline? A comparison of reporting in published articles," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-15, June.
    19. Jiakun Jiang & Wei Yang & Erin M. Schnellinger & Stephen E. Kimmel & Wensheng Guo, 2023. "Dynamic logistic state space prediction model for clinical decision making," Biometrics, The International Biometric Society, vol. 79(1), pages 73-85, March.
    20. Zhixuan Fu & Chirag R. Parikh & Bingqing Zhou, 2017. "Penalized variable selection in competing risks regression," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(3), pages 353-376, July.

    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:pone00:0131963. 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.