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LIN Jie, GAO Huiguang,, ZHANG Li. Application values of anti-cyclic citrullinated peptideantibody and anti-keratin antibody detections in the diagnosis of rheumatoid arthritis[J]. Journal of Clinical Medicine in Practice, 2019, 23(15): 110-111,115. DOI: 10.7619/jcmp.201915030
Citation: LIN Jie, GAO Huiguang,, ZHANG Li. Application values of anti-cyclic citrullinated peptideantibody and anti-keratin antibody detections in the diagnosis of rheumatoid arthritis[J]. Journal of Clinical Medicine in Practice, 2019, 23(15): 110-111,115. DOI: 10.7619/jcmp.201915030
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Application values of anti-cyclic citrullinated peptideantibody and anti-keratin antibody detections in the diagnosis of rheumatoid arthritis

  • Department of Clinical Laboratory, The 970th Hospital of People′s Liberation Army, Weihai, Shandong, 264200

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  • Received Date: April 08, 2019
  • Revised Date: June 14, 2019
  • Available Online: February 23, 2021
  • Published Date: August 14, 2019
    Graphical Abstract
    • Abstract
  •   Objective  To explore the application values of anti-cyclic citrullinated peptide antibody (anti-CCP antibody) and anti-keratin antibody (AKA) detections in the diagnosis of rheumatoid arthritis (RA).
      Methods  Totally 64 patients with RA were selected as group A, 64 patients without RA were selected as group B, and 64 healthy people were selected as group C. Anti-CCP antibody and AKA detections were performed in all the three groups, and the Results were compared.
      Results  In terms of specificity, there was a significant difference between anti-CCP antibody detection and AKA detection (P < 0.05). In terms of sensitivity, there was no significant difference between anti-CCP antibody detection and AKA detection (P>0.05). The specificity and sensitity of combined detection showed a significant difference compared to anti-CCP antibody detection or AKA detection alone (P < 0.05). Anti-CCP antibody detection was significantly higher in positive predictive value (P < 0.05), and combined detection was significantly higher in negative predictive value (P < 0.05).
      Conclusion  With the development of experimental operation technology, the combined detection of multiple indicators will be popularized and applied in the diagnosis of RA, and the accuracy of diagnosis will be further improved.
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    • References (15)
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