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AB0933 Predictive model for shoulder pain using clinical and epidemiological variables
  1. C Feced Olmos1,
  2. E Sánchez Labrador1,
  3. J Ivorra Cortes1,
  4. E Grau Garcia1,
  5. E Vicens Bernabeu1,
  6. JJ Fragio Gil1,
  7. R Mazarío González1,
  8. C Alcañiz Escandell1,
  9. I Cánovas Olmos1,
  10. I Chalmeta Verdejo1,
  11. L Gonzalez Puig1,
  12. I Martínez Cordellat1,
  13. C Nájera Herranz1,
  14. R Negueroles Albuixech1,
  15. JE Oller Rodriguez1,
  16. FM Ortiz-Sanjuan1,
  17. D Marín Hervás2,
  18. JA Román Ivorra1,3
  1. 1Rheumatology Department, HUP la Fe
  2. 2Biostatistics Unit, IIS la Fe
  3. 3Medical School, UCV, Valencia, Spain

Abstract

Background Shoulder pain is a very common complaint with poor prognosis and high recurrence. To evaluate the shoulder pain, anamnesis and physical examination are used, but a diagnosis of certainty is difficult. Clinical history and specific exploration maneuvers tend to be poorly correlated with the underlying problem. There are few studies that assess the predictability of shoulder pathology using patient characteristics and exploration.

Objectives To assess if the combination of exploratory maneuvers and clinical data predicts the type of affection of the painful shoulder in a sensitive and specific way.

Methods We conducted a prospective study with patients who attended to the Rheumatology Department of HUP La Fe by painful shoulder between February 2016 and January 2017, excluding those with known inflammatory diseases. A rheumatologist performed the anamnesis and the selected exploratory maneuvers: Jobe and Gerber test and palpation of the acromioclavicular joint. A second rheumatologist, blind to physical examination and medical history, performed the shoulder ultrasound scan. Biostatistic analysis was performed using software R version 3.3.2.

Results 119 patients (66.4% women) with a mean age of 60±12.56 years and shoulder pain were collected. Time of pain evolution was 20.43±24.09 months and the right shoulder was the most affected one (71.4%). The association between the maneuvers of Jobe and the involvement of the supraspinatus (SE), as well as the Gerber maneuver with the affectation of the subscapular were statistically significant. However the sensitivity and specificity of both maneuvers are very low, so that alone is not suitable to identify the affected tendon or the type of alteration. Thus, a predictor model (nomogram) of the most common shoulder pathologies (subacromiodeltoid bursitis, tendinosis or SE tears) was developed using epidemiological and clinical examination variables.

Conclusions Based on our results, the predictor model performed using epidemiological and clinical examination variables would be able to predict the most frequent pathologies of the shoulder. Imaging tests have a certain delay time, and by applying this predictor model, a diagnosis of presumption could be established in primary care, giving the opportunity to institute an early treatment. In addition, patients could be referred more efficiently to the appropriate specialty (rheumatology, traumatology or rehabilitation), avoiding delays.

Disclosure of Interest None declared

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