Literature DB >> 19758140

An italian multicenter study for application of a diagnostic algorithm in autoantibody testing.

Chiara Bonaguri1, Alessandra Melegari, PierPaolo Dall'Aglio, Andrea Ballabio, Paolo Terenziani, Annalisa Russo, Luisita Battistelli, Rosalia Aloe, Roberta Camisa, Giovanna Campaniello, Elisabetta Sartori, Cesare Monica.   

Abstract

The presence in the serum of specific autoantibodies, such as antinuclear antibodies (ANA), anti-double-stranded DNA (anti-dsDNA), and antiextractable nuclear antigens (anti-ENA), is one of the diagnostic criteria for autoimmune rheumatic disease, and the requests for these tests in the last few years have grown remarkably. A guideline for reducing clinically inappropriate requests in autoantibody testing (ANA, anti-dsDNA, anti-ENA) has been applied in the Parma Hospital since 2007. The results for the period January-December 2007 were compared to those of the previous period January-December 2006, and a significant reduction in the number of anti-dsDNA (23.9%) and anti-ENA (20.7%) was found. The aim of this study was to assess the applicability of a similar guideline in a wide area (Parma, Modena, Piacenza, Reggio-Emilia) with reference to the diagnosis of autoimmune rheumatic disease. This project, supported by a regional grant for innovative research projects, was started in January 2008 and consists of three different steps: (1) a study group of clinicians and laboratory physicians to evaluate the diagnostic criteria, the analytical procedures, and the number of tests performed in different hospitals; (2) developing common guidelines for autoantibody testing that takes into account the different clinical needs with the aim of improving efficiency and clinical effectiveness of diagnosis and monitoring; and (3) assessing compliance with the guidelines in the different hospitals that are evaluating the second-level test (anti-dsDNA, anti-ENA) decrease. We think that the validation of guidelines for the laboratory diagnosis of autoimmune rheumatic disease can represent a tool for improving patients' outcomes and economic efficiency.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19758140     DOI: 10.1111/j.1749-6632.2009.04635.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  6 in total

1.  Determination of cut-off titers and agreement between immunofluorescence and immunoblotting methods for detecting antinuclear antibodies in children.

Authors:  G Aksu; N Gulez; E Azarsiz; N Karaca; N Kutukçuler
Journal:  J Clin Lab Anal       Date:  2010       Impact factor: 2.352

2.  An evaluation of autoimmune antibody testing patterns in a Canadian health region and an evaluation of a laboratory algorithm aimed at reducing unnecessary testing.

Authors:  Ada Man; Kam Shojania; Carmen Phoon; Jason Pal; Monika Hudoba de Badyn; David Pi; Diane Lacaille
Journal:  Clin Rheumatol       Date:  2013-01-06       Impact factor: 2.980

3.  Comparative study of immunofluorescent antinuclear antibody test and line immunoassay detecting 15 specific autoantibodies in patients with systemic rheumatic disease.

Authors:  Sun Ah Lee; Jimin Kahng; Yonggoo Kim; Yeon-Joon Park; Kyungja Han; Seung-Ki Kwok; Sung-Hwan Park; Eun-Jee Oh
Journal:  J Clin Lab Anal       Date:  2012-07       Impact factor: 2.352

4.  A Multicenter Analysis of Subjectivity of Indirect Immunofluorescence Test in Antinuclear Antibody Screening.

Authors:  Vildan Turan Faraşat; Talat Ecemiş; Yavuz Doğan; Aslı Gamze Şener; Gülfem Terek Ece; Pınar Erbay Dündar; Tamer Şanlidağ
Journal:  Arch Rheumatol       Date:  2019-04-22       Impact factor: 1.472

5.  Pattern of antinuclear antibody and antiextractable nuclear antigen antibody test requisitions in Riyadh.

Authors:  Najla Ali Alghabban; Zahid Shakoor
Journal:  J Family Med Prim Care       Date:  2019-11-15

6.  Clinical and serological features of patients referred through a rheumatology triage system because of positive antinuclear antibodies.

Authors:  Christie Fitch-Rogalsky; Whitney Steber; Michael Mahler; Terri Lupton; Liam Martin; Susan G Barr; Dianne P Mosher; James Wick; Marvin J Fritzler
Journal:  PLoS One       Date:  2014-04-04       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.