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Combined classification system based on ACR/EULAR and ultrasonographic scores for improving the diagnosis of Sjögren's syndrome

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Listed:
  • Yukinori Takagi
  • Hideki Nakamura
  • Misa Sumi
  • Toshimasa Shimizu
  • Yasuko Hirai
  • Yoshiro Horai
  • Ayuko Takatani
  • Atsushi Kawakami
  • Sato Eida
  • Miho Sasaki
  • Takashi Nakamura

Abstract

We retrospectively evaluated the effectiveness of combined use of salivary gland ultrasonography (US) and the 2016 American College of Rheumatology/European League Against Rheumatic Disease (ACR/EULAR) classification criteria for improving the diagnostic efficiency in patients with Sjögren’s syndrome (SS). A US-based salivary gland disease grading system was developed using a cohort comprising 213 SS or non-SS patients who fulfilled the minimum requirements for classifying SS based on the American-European Consensus Group (AECG) and ACR criteria. Using 62 SS or non-SS patients from the 213 patients and who had also undergone all the 5 examinations needed for the ACR/EULAR classification, we compared the diagnostic accuracy of various combinations of the ACR/EULAR and US classifications for diagnosing SS, using the clinical diagnosis of SS by rheumatologists as the gold standard. The ACR/EULAR criteria discriminated clinical SS patients with 77% and 79% accuracy for those with primary or secondary SS and for those with primary SS, respectively. However, the integrated score system of the ACR/EULAR and US classifications yielded 92% and 93% accuracy for these 2 SS patient groups, respectively, provided that US score of 3 was assigned to patients with US grade ≥2, and then patients with integrated threshold score of ≥5 were diagnosed as SS. Cross-validation also indicated improved accuracy of the integrated ACR/EULAR and US score system (91.9 and 93.0% for primary/secondary and primary SS patients, respectively) over that by the ACR/EULAR criteria alone. (74.2 and 86.0%, respectively). The integrated ACR/EULAR and US scoring system can improve the diagnosis of patients with clinical SS.

Suggested Citation

  • Yukinori Takagi & Hideki Nakamura & Misa Sumi & Toshimasa Shimizu & Yasuko Hirai & Yoshiro Horai & Ayuko Takatani & Atsushi Kawakami & Sato Eida & Miho Sasaki & Takashi Nakamura, 2018. "Combined classification system based on ACR/EULAR and ultrasonographic scores for improving the diagnosis of Sjögren's syndrome," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-15, April.
  • Handle: RePEc:plo:pone00:0195113
    DOI: 10.1371/journal.pone.0195113
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