| Title |
Birmingham Behçet’s service: classification of disease and application of the 2014 International Criteria for Behçet’s Disease (ICBD) to a UK cohort
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, March 2017
|
| DOI | 10.1186/s12891-017-1463-y |
| Pubmed ID | |
| Authors |
Tim Blake, Luke Pickup, David Carruthers, Erika Marie Damato, Alastair Denniston, John Hamburger, Claire Maxton, Debbie Mitton, Philip I. Murray, Peter Nightingale, Ana Poveda-Gallego, Andrea Richards, Andrew Whallett, Deva Situnayake |
| Abstract |
This study reports on the analysis of the application and diagnostic predictability of the revised 2014 ICBD criteria in an unselected cohort of UK patients, and the ensuing organ associations and patterns of disease. A retrospective cohort study was conducted using a database of electronic medical records. Three categories were recognised: clinically defined BD, incomplete BD and rejected diagnoses of BD. We applied the ISG 1990 and ICBD 2014 classification criteria to these subgroups to validate diagnostic accuracy against the multidisciplinary assessment. Between 2012 and 2015, 281 patients underwent initial assessment at an urban tertiary care centre: 190 patients with a confirmed diagnosis of BD, 7 with an incomplete diagnosis, and 84 with a rejected diagnosis. ICBD 2014 demonstrated an estimated sensitivity of 97.89% (95% CI: 94.70 to 99.42) and positive likelihood ratio of 1.21 (1.10 to 1.28). The strongest independent predictors were: Central nervous lesions (OR = 10.57, 95% CI: 1.34 to 83.30); Genital ulceration (OR = 9.05, 95% CI: 3.35 to 24.47); Erythema nodosum (OR = 6.59, 95% CI: 2.35 to 18.51); Retinal vasculitis (OR = 6.25, 95% CI: 1.47 to 26.60); Anterior uveitis (OR = 6.16, 95% CI: 2.37 to 16.02); Posterior uveitis (OR = 4.82, 95% CI: 1.25 to 18.59). The ICBD 2014 criteria were more sensitive at picking up cases than ISG 1990 using the multidisciplinary assessment as the gold standard. ICBD may over-diagnose BD in a UK population. Patients who have an incomplete form of BD represent a distinct group that should not be given an early diagnostic label. Behçet's disease is a complex disease that is best diagnosed by multidisciplinary clinical assessment. Patients in the UK differ in their clinical presentation and genetic susceptibility from the original descriptions. This study also highlights an incomplete group of Behçet's patients that are less well defined by their clinical presentation. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 22% |
| Researcher | 6 | 15% |
| Student > Master | 5 | 12% |
| Other | 4 | 10% |
| Librarian | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 56% |
| Immunology and Microbiology | 2 | 5% |
| Computer Science | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 March 2023.
All research outputs
#14,678,280
of 23,495,502 outputs
Outputs from BMC Musculoskeletal Disorders
#2,200
of 4,148 outputs
Outputs of similar age
#175,652
of 309,476 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#51
of 78 outputs
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