| Title |
Diagnostic accuracy of a new fluoroenzyme immunoassay for the detection of TSH receptor autoantibodies in Graves’ disease
|
|---|---|
| Published in |
Autoimmunity Highlights, February 2018
|
| DOI | 10.1007/s13317-018-0102-4 |
| Pubmed ID | |
| Authors |
Danilo Villalta, Federica D’Aurizio, Mirella Da Re, Debora Ricci, Francesco Latrofa, Renato Tozzoli |
| Abstract |
Thyrotropin receptor (TSHR) autoantibodies (TRAbs) are a hallmark of Graves' disease (GD). The aim of this study was to evaluate the diagnostic accuracy of a new third generation automatic fluorescence enzyme immunoassay for TRAb measurement in GD, in comparison with two current IMAs. Sera of 439 subjects (57 patients with untreated GD, 34 with treated GD, 15 with GD and Graves' orbitopathy, 52 with multinodular non-toxic goiter, 86 with Hashimoto's thyroiditis, 20 with toxic adenoma or toxic multinodular goiter, 55 with non-thyroid autoimmune diseases and 120 normal controls) were tested for TRAbs with the ELiA™ anti-TSH-R assay (ThermoFischer Scientific, Uppsala, Sweden), the TRAK™ RIA, Brahms (Thermo Scientific, Hennigsdorf, Germany) and the Immulite™ TSI assay (Siemens Healthcare, Llanberis, UK). Sensitivity and specificity of the ELiA™ anti-TSH-R assay, TRAK™ RIA and Immulite™ TSI assay were 94.7% and 99.6, 100 and 98.2%, 100 and 98.2%, respectively. Spearman's coefficient and Passing-Bablok regression showed a satisfactory correlation between EliA™ and TRAK™ [rho: 0.925; 95% CI: 0.883-0-953. Intercept: - 0.875 (95% CI: - 2.411 to 0.194); slope: 1.086 (95% CI: 0.941 to 1.248)], and between ELiA™ and TSI™ [rho: 0.947; 95% CI: 0.912 0.969. intercept: 1.085 (95% CI: 0.665 to 2.116); slope 1.315 (95% CI:1.116 to 1.700)]. The diagnostic performance of ELiA™-TSH-R assay is comparable to that of some current TRAb assays. It may be adopted into clinical practice for the differential diagnosis of hyperthyroidism, to screen for transient hyperthyroidism, and to monitor disease activity and treatment effects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 25% |
| Student > Bachelor | 6 | 17% |
| Student > Doctoral Student | 4 | 11% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 39% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Psychology | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 8 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Autoimmunity Highlights
#71
of 85 outputs
Outputs of similar age
#334,195
of 445,207 outputs
Outputs of similar age from Autoimmunity Highlights
#3
of 3 outputs
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