scholarly journals Measurement of damage in systemic vasculitis: a comparison of the Vasculitis Damage Index with the Combined Damage Assessment Index

2010 ◽  
Vol 70 (1) ◽  
pp. 80-85 ◽  
Author(s):  
R. Suppiah ◽  
O. Flossman ◽  
C. Mukhtyar ◽  
F. Alberici ◽  
B. Baslund ◽  
...  
2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1540.2-1540
Author(s):  
B. Ince ◽  
S. Artan ◽  
Y. Yalçinkaya ◽  
B. Artim-Esen ◽  
A. Gül ◽  
...  

Background:Development of organ damage is a major concern in patients with systemic vasculitis. Treatment may also contribute to this important outcome. Scoring systems has been developed to evaluate organ damage in systemic vasculitis and specifically for large vessel vasculitis (1).Objectives:We aimed to investigate permanent organ damage and determining factors in our giant cell arteritis GCA cohort.Methods:Organ damage detected at the time of diagnosis and / or follow-up and irreversible for at least 3 months in GCA patients followed up between 1998-2018 were recorded by using Vasculitis Damage Index (VDI) and Vascular Vasculitis Damage Index (LVVID) fom patient records of our vasculitis clinic. In the statistical evaluation, chi-square, students t-test and logistic regression analysis were used.Results:Eighty-nine patients (64% women, mean age 67.9 ± 9.1) included in the study, the mean follow-up duration was 61.6 ± 58.6 months. All organ damage findings according to both VDI and LVVID are shown in table-1. In this cohort, cardiovascular damage items and diabetes mellitus were prevalent at baseline. At least one damage item was present in 53 (59,5%) according to VDI; 54 (%60,7) according to LVVID and agreement was high between two damage indices (kappa=0.97). Forty-seven of patients (52%) had a damage item presumably with contribution of GC treatment e.g. locomotor system findings, hypertension, diabetes and cataract; 12 (13,5%) had damage items related to disease (total or partial vision loss, ischemic optical neuropathy). Mean time to diagnosis after initial symptoms was longer in patients with permanent vision loss (10,2±4,3 vs. 5,2±1,2 months p=0.006). The presence of damage was associated with flares in univariate and multivariate analysis (29/54 vs. 2/35 p<0,001 OR=19 %95 GA 4,2– 87,9). All patients who had a flare during the first year (n = 15) developed signs of damage at follow-up. No association was found between the development of organ damage and the age of diagnosis, the time between first complaint and diagnosis, presence of cranial, ophthalmologic findings, PET-CT positivity, cumulative steroid dose, and DMARD use.Conclusion:In our study, permanent organ damage was analysed by using diffrerent indices. In this patient population baseline cardiovascular damage and diabetes mellitus were frequent as expected but information for osteoporosis was lacking. More than half of the patients had damage and significant part of the present items was considered due to corticosteroid treatment. The most common damage item developed was osteoporosis. There was a very good agreement between the two indices, despite few specific items in LVVID. The striking relationship of disease flare with damage and frequency of visual problems despite treatment indicate the necessity of new treatment strategies.References:[1]Kermani, T.A., et al.,Evaluation of damage in giant cell arteritis.Rheumatology (Oxford), 2018.57(2): p. 322-328.Disclosure of Interests: :None declared


2021 ◽  
Author(s):  
Luma Mendes Brito ◽  
Rodrigo da Silveira Vasconcelos ◽  
Felipe Mendonça de Santana ◽  
CARLOS EMILIO INSFRAN ECHAURI ◽  
Lorenza Rosa Silvério Scomparin ◽  
...  

Rheumatology ◽  
1998 ◽  
Vol 37 (1) ◽  
pp. 57-63 ◽  
Author(s):  
A. R. Exley ◽  
P. A. Bacon ◽  
R. A. Luqmani ◽  
G. D. Kitas ◽  
D. M. Carruthers ◽  
...  

Author(s):  
Mitsuyo Itabashi ◽  
Takashi Takei ◽  
Takahito Moriyama ◽  
Syunji Shiohira ◽  
Ari Shimizu ◽  
...  

2013 ◽  
Vol 24 (1) ◽  
pp. 112-119 ◽  
Author(s):  
Mitsuyo Itabashi ◽  
Takashi Takei ◽  
Takahito Moriyama ◽  
Syunji Shiohira ◽  
Ari Shimizu ◽  
...  

Author(s):  
Chin-Hsiung Loh ◽  
Min-Hsuan Tseng ◽  
Shu-Hsien Chao

One of the important issues to conduct the damage detection of a structure using vibration-based damage detection (VBDD) is not only to detect the damage but also to locate and quantify the damage. In this paper a systematic way of damage assessment, including identification of damage location and damage quantification, is proposed by using output-only measurement. Four level of damage identification algorithms are proposed. First, to identify the damage occurrence, null-space and subspace damage index are used. The eigenvalue difference ratio is also discussed for detecting the damage. Second, to locate the damage, the change of mode shape slope ratio and the prediction error from response using singular spectrum analysis are used. Finally, to quantify the damage the RSSI-COV algorithm is used to identify the change of dynamic characteristics together with the model updating technique, the loss of stiffness can be identified. Experimental data collected from the bridge foundation scouring in hydraulic lab was used to demonstrate the applicability of the proposed methods. The computation efficiency of each method is also discussed so as to accommodate the online damage detection.


2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Taejun Yoon ◽  
Jung Yoon Pyo ◽  
Sung Soo Ahn ◽  
Jason Jungsik Song ◽  
Yong-Beom Park ◽  
...  

2018 ◽  
Vol 29 (1) ◽  
pp. 378-392
Author(s):  
Eleni Vrochidou ◽  
Petros-Fotios Alvanitopoulos ◽  
Ioannis Andreadis ◽  
Anaxagoras Elenas

Abstract This research provides a comparative study of intelligent systems in structural damage assessment after the occurrence of an earthquake. Seismic response data of a reinforced concrete structure subjected to 100 different levels of seismic excitation are utilized to study the structural damage pattern described by a well-known damage index, the maximum inter-story drift ratio (MISDR). Through a time-frequency analysis of the accelerograms, a set of seismic features is extracted. The aim of this study is to analyze the performance of three different techniques for the set of the proposed seismic features: an artificial neural network (ANN), a Mamdani-type fuzzy inference system (FIS), and a Sugeno-type FIS. The performance of the models is evaluated in terms of the mean square error (MSE) between the actual calculated and estimated MISDR values derived from the proposed models. All models provide small MSE values. Yet, the ANN model reveals a slightly better performance.


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