alexa Behcetand#8217;s Disease Criteria | OMICS International
ISSN: 2472-4971
Journal of Medical & Surgical Pathology

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Behcet’s Disease Criteria

Fereydoun Davatchi1,2*, Bahar Sadeghi Abdollahi1, Farhad Shahram1, Cheyda Chams Davatchi1, Abdolhadi Nadji1, Hormoz Shams1, Massoomeh Akhlaghi1, Tahreh Faezi1, Zahra Ghodsi1, Farimah Ashofteh1, Negin Mohtasham1, Hoda Kavosi1 and Mariam Masoumi1

1Behcet's Disease Unit, Rheumatology Research Center, Tehran University of Medical Sciences, Iran

2Chair Behcet’s Disease, Iran National Elite Foundation, Iran

*Corresponding Author:
Fereydoun Davatchi
Rheumatology Research Center, Shariati Hospital
Kargar Avenue, Tehran 14117, Iran
Tel: (9821) 8802-6953
E-mail: [email protected]

Received date: July 27, 2016; Accepted date: August 19, 2016; Published date: August 24, 2016

Citation: Davatchi F, Abdollahi BS, Shahram F, Davatchi CC, Nadji A, et al. (2016) Behcet’s Disease Criteria. J Med Surg Pathol 2:141.

Copyright: © 2016 Davatchi F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Objective: From 1946 to 2014, 16 different sets of Classification/Diagnosis criteria, from different countries, have been made for Behcet’s Disease. Among them, there are two International criteria sets, the International Study Group (ISG) criteria in 1990 by the collaboration of 7 countries, and the International Criteria for Behcet’s Disease (ICBD) in 2010 by the collaboration of 27 countries. The aim of this study is to compare the performance of them, in new patients and controls, from the Iran registry of Behcet’s Disease.
Methods: Patients (1323) and controls (2438) are consecutive patients, seen from 2010 to 2016. The diagnosis was clinical and by expert opinion. Sensitivity, specificity, accuracy, optimization, efficiency, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and Youden’s index were calculated.
Results: The sensitivity of ISG was 64% versus 96.9% ICBD (a difference of 32.9%), while specificity was 99.9% versus 97.4% (a difference of 2.5%), and accuracy 87.3% vs. 97.2% (a difference of 9.9%). The optimization (100- difference between sensitivity and specificity. The best score is 100) was 64.1 versus 99.7 (a difference of 35.6). The efficiency ((optimization/100) × accuracy. The best score is 100) was 56 versus 96.9 (a difference of 40.9).
Conclusion: The differences for all the items was statistically highly significant, even for the specificity, although numerically the difference was small, just 2.5%. However, clinically, the difference was not relevant. The performance of ICBD is much higher than that of ISG. The ICBD criteria have a much higher sensitivity, accuracy, optimization, and efficiency, with clinically, approximately the same specificity.

Keywords

Behcet's disease; Vasculitis

Introduction

Behcet’s Disease (BD) is classified among vasculitides. In the majority of cases, it is easily recognizable from other vasculitis. One of the major differences is its progression by repetitive attacks and remissions. Depending on the involved organ, the healing process may result in a return to normal of the tissue, like oral mucosa or joints. Some organs, on the contrary, may progress toward fibrosis, or sequela, like the eyes, and the brain [1,2].

BD has no characteristic laboratory tests, different imaging, and no specific pathological patterns on tissue biopsy. Therefore, the diagnosis is only clinical, while classification/diagnosis criteria may be of help. However, even when a patient fulfils the criteria [3-5]. As many symptoms of BD can be seen in other diseases too, the association of two or more can happen fortuitously, without being BD [2].

BD is one of the diseases having many Classification/Diagnosis criteria. The first was created in 1946 by Curth [6], followed by Hewitt [7], Mason and Barnes [8], Japan [9], Hubault and Hamza [10], O’Duffy [11], Cheng and Zhang [12], Dilsen [13], Japan revised [14], International Study Group (ISG) [15], Iran [16], Classification Tree [17], Dilsen revised [18], Korea [19], International Criteria for Behcet’s Disease (ICBD) [20], and ICBD revised [21] in 2014. Among these criteria, two were made by an International collaboration. The first was ISG criteria in 1990, made by the collaboration of 7 countries (France, Iran, Japan, Tunisia, Turky, UK, and USA). The ICBD was created by the collaboration of 27 countries.

We showed previously [4] that ISG has an excellent specificity in different studies, 97% in its original study [15], 97.5% in Iran [16], 79.8% in China [22], 99.3% in 1998 APLAR study [23], 99.8% in 2000 Russia study [24], 96% in 2006 ICBD database [20], 89.5% in 2008 Germany report [25], 99.2% in 2008 China report [26], and 98.8% in 2010 Iran report [27]. Unfortunately, the sensitivity of the ISG was low in the majority of reports. It was 92% in its original study [15], 86.2% in 1993 Iran [16], 72.2% in APLAR 1998 [23], 79.8% in Russia 2000 [24], 75.6% in USA 2000 [28], 72% in India 2004 [29], 46% in Singapore 2004 [29], 81% in China 2004 [29], 58% in Korea 2004 [29], 82% in Iran 2004 [29], 82.4% in ICBD 2006 [20], 83.7% in Germany 2008 [25], 65.4% in China 2008 [26], and 78.1% in Iran 2010 [27]. Due to the low sensitivity, the accuracy was low too, despite the excellent specificity [4].

The preceding study showed the performance of ISG and ICBD from the beginning to 2010 [4]. The aim of this study is to show their performance (in Iranian patients) from 2010 to 2016, and compare the performance ISG with the original ICBD and its revised form.

Methods

Patients and controls

From 2010 to July 2016, 1323 BD and 2438 control patients (mimicking Behcet’s Disease) were selected as consecutive patients, from the Behcet’s Disease Registry of Iran.

Statistics

Sensitivity was calculated as the number of BD patients, classified by the criteria, multiplied by 100, and divided by the total number of BD patients (here 1323). Specificity was calculated by the number of patients, who were correctly recognized as not having BD, by the criteria, multiplied by 100, and divided by the total number of control patients. Accuracy (Percent Agreement) was calculated by the number of BD patients, correctly classified as having BD, by the criteria+the number of patients, who were correctly recognized as not having BD, by the criteria. The total is then multiplied by 100, and divided by the total number of BD patients and the total number of control patients. The optimization is how the criteria recognize the BD patients and the control patients. The ideal is to have the same rate of error for patients and controls. For that, the difference between sensitivity and specificity is subtracted from 100 to find the optimization as a percentage. The best score will be 100% optimization. The efficiency is calculated by dividing the optimization by 100, and then multiplying the result by the Accuracy.

Comparison of results was done by the Pearson’s chi square test.

Results

In the cohort of patients (from January 2007 to mid-July 2016) 3761 patients were seen. Among them, 1323 were BD and 2438 were control patients.

The sensitivity of the ISG was 64% with a 95% confidence interval (95%CI) of 2.6. For ICBD, the sensitivity with the original criteria was 97.9% (95%CI 0.8) and with revised version 96.9% (95%CI 0.9).

The specificity of the ISG was 99.9% (95%CI 0.1). For ICBD, the specificity with the original criteria was 97.3% (95%CI 0.6) and with revised version 97.4% (95%CI 0.6).

The accuracy of the ISG was 87.3% (95%CI 1.1). For ICBD, with the original criteria, it was 97.5% (95%CI 0.5) and with the revised version 97.2% (95%CI 0.5).

The performance of the other Classification/Diagnosis criteria is shown in Table 1.

  Sensitivity Specificity Accuracy
Criteria Number % CI Number % CI Number % CI
Curth 1310 99.0 0.5 2312 94.8 0.9 3622 96.3 0.6
Mason 696 52.6 2.7 2436 99.9 0.1 3132 83.3 1.2
Hewitt 465 35.1 2.6 2436 99.9 0.1 2901 77.1 1.3
Japan Original 1046 79.1 2.2 2390 98.0 0.6 3436 91.4 0.9
Hubault 657 49.7 2.7 2434 99.8 0.2 3091 82.2 1.2
O'Duffy 762 57.6 2.7 2435 99.9 0.1 3197 85.0 1.1
Zhang 1261 95.3 1.1 2280 93.5 1.0 3541 94.2 0.7
Dilsen 901 68.1 2.5 2392 98.1 0.5 3293 87.6 1.1
Japan Revised 1059 80.0 2.2 2388 97.9 0.6 3447 91.7 0.9
ISG 847 64.0 2.6 2435 99.9 0.1 3282 87.3 1.1
Iran 1107 83.7 2.0 2389 98.0 0.6 3496 93.0 0.8
Classification Tree 1284 97.1 0.9 2375 97.4 0.6 3659 97.3 0.5
Dilsen Revised 873 66.0 2.6 2434 99.8 0.2 3307 87.9 1.0
Korea 1038 78.5 2.2 2417 99.1 0.4 3455 91.9 0.9
ICBD 1295 97.9 0.8 2371 97.3 0.6 3666 97.5 0.5
ICBD revised 1282 96.9 0.9 2375 97.4 0.6 3657 97.2 0.5

Table 1: Performance of the other Classification/Diagnosis criteria.

The optimization of the ISG was 64.1%, while the original ICBD was 99.4%, and the revised ICBD 99.5%.

The efficiency of the ISG was 56% for ISG, 96.9% for the original ICBD, and 96.7% for the revised ICBD.

Discussion

The new study has approximately the same results as the older study. The ISG, in the older data, up to 2010, had a sensitivity of 78.1% against the original ICBD with 98.2%. The specificity was 98.8% against 95.6%. The accuracy was 85.5% against 97.3% [4]. The sensitivity of the ISG was lower in newer data than in the old data, while with ICBD, both were very close. For specificity, the difference was minimal between the new and the old data for both ISG and ICBD. For the accuracy, it was the same as for specificity, minimal differences between the new and the old data, for ISG and ICBD.

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