Literature DB >> 24372293

Diagnostic accuracy of anti-alpha-fodrin antibodies for primary Sjögren's syndrome.

Qin Qin1, Hui Wang, Huai-Zhou Wang, Yuan-Lan Huang, Hu Li, Wei-Wei Zhang, Jian-Rong Zhang, Ling-Ling He, Rong Xia, Dong-Bao Zhao, An-Mei Deng.   

Abstract

OBJECTIVES: To estimate the diagnostic accuracy of anti-alpha-fodrin antibodies for primary Sjögren's syndrome (pSS).
METHODS: Sixty-four pSS subjects and 108 non-pSS patients were prospectively enrolled in this study. Serum anti-alpha-fodrin IgA and IgG were detected by ELISA in a blind fashion. The diagnostic accuracy of anti-alpha-fodrin antibodies was assessed by receiver operating characteristic (ROC) curve analysis. Logistic regression was used to investigate whether anti-alpha-fodrin antibodies could improve the accuracy of pSS diagnosis if used in addition to anti-SSA and anti-SSB.
RESULTS: The areas under the ROC curves for anti-alpha-fodrin IgG and IgA were 0.69 (95% confidence interval (CI): 0.60-0.77) and 0.63 (95% CI: 0.54-0.72), respectively (P < 0.01 for both). The optimal diagnostic thresholds for anti-fodrin IgG and IgA were 11.75 U/ml and 9.75 U/ml, respectively, with a sensitivity of 0.59 and 0.55, and a specificity of 0.75 and 0.73, respectively. Anti-alpha-fodrin IgG and IgA antibodies were associated with pSS after adjustment for anti-SSA and anti-SSB.
CONCLUSIONS: Anti-alpha-fodrin IgG and IgA antibodies are useful diagnostic markers which may improve the accuracy of pSS diagnosis.

Entities:  

Keywords:  Anti-alpha-fodrin antibody; Diagnosis; Primary Sjögren's syndrome; Sensitivity; Specificity

Mesh:

Substances:

Year:  2013        PMID: 24372293     DOI: 10.3109/14397595.2013.865823

Source DB:  PubMed          Journal:  Mod Rheumatol        ISSN: 1439-7595            Impact factor:   3.023


  4 in total

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Review 3.  Autoantibodies Associated With Connective Tissue Diseases: What Meaning for Clinicians?

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4.  Small Interfering RNA Targeting α-Fodrin Suppressing the Immune Response of Sjögren's Syndrome Mice.

Authors:  Xiao-Lin Sun; Chun-Yan Pang; Yuan Liu; Wei Zhang; Yong-Fu Wang
Journal:  Chin Med J (Engl)       Date:  2018-11-20       Impact factor: 2.628

  4 in total

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