scholarly journals Machine Learning Based Image Feature Recognition and Clinical Nursing of Children’s Rheumatoid Arthritis-Related Lung Injury

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Linyan Li
Keyword(s):  
Rheumatoid Arthritis ◽  
Machine Learning ◽  
Feature Recognition ◽  
Information Gain ◽  
Image Feature ◽  
Control Group ◽  
Fisher Score ◽  
Maximum Correlation ◽  
Clinical Nursing ◽  
Nitric Oxide Level

This work was aimed at investigating image feature recognition and clinical nursing of children’s rheumatoid arthritis- (CRA-) related lung injury under maximum correlation minimum redundancy algorithm of machine learning. In this study, 18 children with CRA in the hospital were selected as the rheumatoid group to explore the nursing method, and 18 healthy children were selected as the control group. The maximum correlation minimum redundancy algorithm of machine learning was compared with the information gain algorithm and the Fisher score algorithm and applied in computed tomography (CT) images of 18 CRA children. The classification accuracy of the algorithm in this study (94.52%) was higher than that of the information gain algorithm (88.64%) and Fisher score algorithm (81.24%). CT alveolitis score (2.35 ± 0.72 points) of children from the rheumatoid group was markedly higher than that of the control group (1.21 ± 0.24 points) (t = 2.147 and P < 0.05 ). The nitric oxide level (14.00 ppb) of children from the rheumatoid group increased greatly compared with the control group (10.00 ppb) ( P < 0.05 ). CRA can cause a decline of lung function in children, while the nitric oxide level exhaled by children can assess the activity of RA. In addition, adopting active nursing methods can help children get better.

Design of English text-to-speech conversion algorithm based on machine learning

2020 ◽  
pp. 1-12
Author(s):  
Li Dongmei
Keyword(s):  
Machine Learning ◽  
Speech Synthesis ◽  
Feature Recognition ◽  
Learning Algorithm ◽  
Morphological Structure ◽  
English Text ◽  
Text To Speech ◽  
Part Of Speech ◽  
Modern Computer ◽  
Conversion Algorithm

English text-to-speech conversion is the key content of modern computer technology research. Its difficulty is that there are large errors in the conversion process of text-to-speech feature recognition, and it is difficult to apply the English text-to-speech conversion algorithm to the system. In order to improve the efficiency of the English text-to-speech conversion, based on the machine learning algorithm, after the original voice waveform is labeled with the pitch, this article modifies the rhythm through PSOLA, and uses the C4.5 algorithm to train a decision tree for judging pronunciation of polyphones. In order to evaluate the performance of pronunciation discrimination method based on part-of-speech rules and HMM-based prosody hierarchy prediction in speech synthesis systems, this study constructed a system model. In addition, the waveform stitching method and PSOLA are used to synthesize the sound. For words whose main stress cannot be discriminated by morphological structure, label learning can be done by machine learning methods. Finally, this study evaluates and analyzes the performance of the algorithm through control experiments. The results show that the algorithm proposed in this paper has good performance and has a certain practical effect.

Effect of Dietary Education on Cardiovascular risk Factors in Rheumatoid Arthritis Patients

2020 ◽  
Vol 16 ◽  
Author(s):  
Rahil Taheri ◽  
Shahram Molavynejad ◽  
Parvin Abedi ◽  
Elham Rajaei ◽  
Mohammad Hosein Haghighizadeh
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Statistical Tests ◽  
Intervention Group ◽  
Serum Levels ◽  
Control Group ◽  
Dietary Education

Aim: The aim of this study was to investigate the effect of dietary education on cardiovascular risk factors in patients with rheumatoid arthritis. Method: In this randomized clinical trial, 112 patients with rheumatoid arthritis were randomly assigned into two groups, intervention and control. Dietary education was provided for the intervention group in 4 sessions; anthropometric measurements, serum levels of RF, triglycerides, cholesterol, HDL, LDL, and fasting blood sugar were measured before and three months after intervention. Data was analyzed using SPSS software and appropriate statistical tests. Results: The mean of total cholesterol (p <0.001), triglycerides (p = 0.004), LDL (p <0.001), systolic blood pressure (p = 0.001), diastolic blood pressure (p = 0.003), FBS and BMI (p <0.001) were decreased significantly in the intervention group after education compared the control group. Conclusion: Traditional care for rheumatoid arthritis patients is not enough. Patients need more education in order to improve their situation.

Can Cytokines be used as an Activation Marker in Rheumatoid Arthritis?

2020 ◽  
Vol 20 ◽  
Author(s):  
Fatih Öner Kaya ◽  
Yeşim Ceylaner ◽  
Belkız Öngen İpek ◽  
Zeynep Güneş Özünal ◽  
Gülbüz Sezgin ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Healthy Volunteers ◽  
Venous Blood ◽  
Cross Sectional Study ◽  
Joint Disease ◽  
Control Group ◽  
Cross Sectional ◽  
Positive Correlation ◽  
Das 28 ◽  
Tnf Α

Aims: The etiopathogenesis of Rheumatoid Arthritis (RA) is not clearly understood. However, the role of the cytokines takes an important part in this mechanism. We aimed to bring a new approach to the concept of 'remission' in patients with RA. Background: RA is a chronic, autoimmune, inflammatory disease that involves small joints in the form of symmetrical polyarthritis and progresses with exacerbations and remissions. Pain, swelling, tenderness and morning stiffness are typical of the joints involved. Although it is approached as a primary joint disease, a wide variety of extra-articular involvements may also occur. It is an interesting pathophysiological process, the exact cause of which is still unknown, with many environmental, genetic and potentially undiscovered possible factors in a chaotic manner. Objective: In this cross-sectional study, sedimentation rate (ESR), C- Reactive protein (CRP), Tumor necrosis factor (TNF)-α, soluble-TNF-α receptor (TNF-R), Interleukin (IL)-1B and IL-10 were measured in three groups which were healthy volunteers, patients with RA in the active period, and patients with RA in remission. Disease activity score-28 (DAS-28) was calculated in active RA and RA in remission. Methods: This study included 20 healthy volunteers, 20 remission patients with RA and 20 active RA patients. Venous blood samples were collected from patients in both healthy and RA groups. Results: RA group consisted 43 (71.6%) female and 17 (28.4%) male. Control group consisted 11 (55%) female and 9 (45%) male. TNF-R was significantly high only in the active group according to the healthy group (p=0.002). IL-10 was significantly high in active RA according to RA in remission (p=0.03). DAS-28 was significantly high in active RA according to RA in remission (p=0.001). In the active RA group, ESR and TNF-R had a positive correlation (r:0.442; p=0.048). In the active RA group, there was also a positive correlation between TNF-R and CRP (r:0.621; p=0,003). Both healthy and active RA group had significant positive correlation between ESR and CRP (r: 0.481; p=0.032 and r: 0,697; p=0,001 respectively). Conclusion: TNF-R can be the main pathophysiological factor and a marker showing activation. TNF-R can be very important in revealing the effect of TNF on the disease and the value of this effect in the treatment and ensuring the follow-up of the disease with CRP instead of ESR in activation.

scholarly journals Automobile tire life prediction based on image processing and machine learning technology

2021 ◽  
Vol 13 (3) ◽  
pp. 168781402110027
Author(s):  
Jianchen Zhu ◽  
Kaixin Han ◽  
Shenlong Wang
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Life Prediction ◽  
Traffic Accidents ◽  
Confusion Matrix ◽  
Small Sample ◽  
Image Feature ◽  
Engineering Practice ◽  
Learning Technology ◽  
K Nearest Neighbor

With economic growth, automobiles have become an irreplaceable means of transportation and travel. Tires are important parts of automobiles, and their wear causes a large number of traffic accidents. Therefore, predicting tire life has become one of the key factors determining vehicle safety. This paper presents a tire life prediction method based on image processing and machine learning. We first build an original image database as the initial sample. Since there are usually only a few sample image libraries in engineering practice, we propose a new image feature extraction and expression method that shows excellent performance for a small sample database. We extract the texture features of the tire image by using the gray-gradient co-occurrence matrix (GGCM) and the Gauss-Markov random field (GMRF), and classify the extracted features by using the K-nearest neighbor (KNN) classifier. We then conduct experiments and predict the wear life of automobile tires. The experimental results are estimated by using the mean average precision (MAP) and confusion matrix as evaluation criteria. Finally, we verify the effectiveness and accuracy of the proposed method for predicting tire life. The obtained results are expected to be used for real-time prediction of tire life, thereby reducing tire-related traffic accidents.

scholarly journals POS0068 HIGH LEVELS OF PORPHYROMONAS GINGIVALIS AND PREVOTELLA INTERMEDIA ANTIBODIES IN CHILDREN WITH JUVENILE IDIOPATHIC ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 240.2-241
Author(s):  
F. Zekre ◽  
R. Cimaz ◽  
M. Paul ◽  
J. L. Stephan ◽  
S. Paul ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Juvenile Idiopathic Arthritis ◽  
Periodontal Disease ◽  
Porphyromonas Gingivalis ◽  
Joint Disease ◽  
Control Group ◽  
Prevotella Intermedia ◽  
Igg Antibodies ◽  
Idiopathic Juvenile Arthritis ◽  
High Level

Background:Idiopathic juvenile arthritis (JIA) is a heterogeneous group of pathologies whose origin remains unknown at present (1). They are characterised by a systemic inflammatory and joint disease affecting children under 16 years of age. The current classification groups the different forms of JIA into 7 distinct entities (systemic forms, polyarticular forms with or without rheumatoid factors, oligoarticular forms, inflammatory arthritis associated with enthesopathies (ERA), arthritis associated with psoriasis and unclassifiable arthritis). Exact etiology of JIA is still unknown. To date, the various hypotheses put forward on the occurrence of JIAs integrate the genetic and environmental framework.The link between periodontal disease and rheumatoid arthritis (RA) is largely reported. Recently, Porphyromonas gingivalis (P. gingivalis) infection explained the occurrence of arthritis in rodent and in RA (2). Several studies mention the beneficial effect of P. gingivalis treatment on disease activity.Currently, there are very few studies on the prevalence of P. gingivalis in patients with JIA and the possible involvement of the germ in the development of inflammatory joint diseases in the pediatric population(3)(4).Objectives:The objective of our study is to determine presence of high IgG antibodies against P. gingivalis and Prevotella Intermedia in a cohort of patients with JIA compared to a control population and to determine variation of level according to sub-classes of JIA.Methods:Sera were obtained from 101 patients satisfying the ILAR classification criteria for JIA and in 25 patients with two other dysimmune disorders (type 1 diabetes and juvenile inflammatory bowel disease). Level of IgG antibodies against P. gingivalis and Prevotella Intermedia were obtained by homemade ELISA already used previously (5).Results:In the JIA group, major children were oligarthritis (47.5%), polyarthritis represents 31.7% of JIAs, ERA and systemic forms of JIA are respectively 9 and 11%. For the control group, 10 (40%) children had diabetes and 15 (60%) had IBD.Levels of anti-P. gingivalis anti-Prevotella Intermedia antibodies were higher in AJI group compared at control groups (P<0.01, P<0.05). Theses difference are mainly related to oligoarthritis and ERA subsets for both P. gingivalis and Prevotella Intermedia.Figure 1.Relative titer of antibodies to P. gingivalis and anti Prevotella intermedia. *: P<0.05; **: P<0.01; ***: P<0.001. P. gingivalis (control vs oligoarthritis p= 0.0032. control vs ERA p= 0.0092). Prevotella intermedia (control vs oligoarthritis p= 0.0194. control vs ERA p= 0.0039).Conclusion:We confirmed high level of anti-P. gingivalis and anti-Prevotella intermedia antibodies in JIA compared to other inflammatory disorders. For the first time, we observed that this high level was mainly in oligoarthritis and ERA. Further investigations are required to investigate involvement of oral dysbiosis in AJI pathogenesis. As observed in RA, it could be a new way to integrate in JIA therapy management.References:[1]Thatayatikom A, De Leucio A. Juvenile Idiopathic Arthritis (JIA). StatPearls Publishing; 2020[2]Cheng Z, Meade J, Mankia K, Emery P, Devine DA. Periodontal disease and periodontal bacteria as triggers for rheumatoid arthritis. Best Pract Res Clin Rheumatol. 2017;31(1):19–30.[3]Romero-Sánchez C, Malagón C, Vargas C, Fernanda Torres M, Moreno LC, Rodríguez C, et al. Porphyromonas Gingivalis and IgG1 and IgG2 Subclass Antibodies in Patients with Juvenile Idiopathic Arthritis. J Dent Child Chic Ill. 2017 May 15;84(2):72–9.[4]Lange L, Thiele GM, McCracken C, Wang G, Ponder LA, Angeles-Han ST, et al. Symptoms of periodontitis and antibody responses to Porphyromonas gingivalis in juvenile idiopathic arthritis. Pediatr Rheumatol Online J. 2016 Feb 9[5]Rinaudo-Gaujous M, Blasco-Baque V, Miossec P, Gaudin P, Farge P, Roblin X, et al. Infliximab Induced a Dissociated Response of Severe Periodontal Biomarkers in Rheumatoid Arthritis Patients. J Clin Med. 2019 May 26;8(5).Disclosure of Interests:None declared.

scholarly journals POS0611 THE EFFECT OF RITUXIMAB BIOSIMILAR THERAPY ON THE EXPRESSION OF INTERFERON-STIMULATED GENES (“INTERFERON SIGNATURE”) IN PATIENTS WITH RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 542.2-542
Author(s):  
A. Avdeeva ◽  
E. Tchetina ◽  
G. Markova ◽  
E. Nasonov
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Signature ◽  
Response To Therapy ◽  
Type I Interferons ◽  
Control Group ◽  
Type I ◽  
Acute Phase Reactants ◽  
Interferon Signature ◽  
Interferon Stimulated Genes ◽  
Healthy Donors

Background:Type I interferons (IFN-Is) are a group of molecules with pleiotropic effects on the immune system forming a crucial link between innate and adaptive immune responses. The type I interferon pathway has been implicated in the pathogenesis of a number of rheumatic diseases, including rheumatoid arthritis. IFN activity is usually quantified using expression of interferon-stimulated genes (ISGs) referred to as an IFN signature. Acellbia (BIOCAD) is the first Russian rituximab (RTX) biosimilar which was approved for medical use in rheumatoid arthritis (RA) patients in Russia and some CIS countries.Objectives:To evaluate the changes in expression of ISGs in patients (pts) with RA during RTX biosimilar therapyMethods:20 RA pts (18 woman, Me;IQR age 61.5(54-66.5) years, disease duration 39.5(20-84) months, mean DAS 28 5.6(4.9-6.8)) received two intravenous RTX biosimilar infusions (600 mg №2) in combination with DMARDs and glucocorticoids. Laboratory biomarkers were assessed at baseline and 24 weeks after the first infusion of RTX. 5 genes (IFI44L, MX1, IFIT 1, RSAD2, EPSTI1) were selected for evaluation of the “interferon signature” (Type I IFN gene signature – IFNGS). IFI44L and IFIT1 expression was undetectable, therefore the remaining three genes (MSX1, EPSTI1, RSAD2) were included into further analysis. IFNGS was calculated as the average expression values of the three selected genes. The control group included 20 age and gender matching healthy donors.Results:The baseline expression levels of MX1-11.48 (5.45-19.38), EPSTI1-12.83 (5.62-19.64), RSAD2-5.16 (2.73-10.4), and IFNGS-10.3 (5.18-17.12) in RA patients were significantly higher compared to healthy donors– 1,26 (0,73-1,6); 1,06 (0,81-1,48); 0,93 (0,72-1,19); 1,09 (0,92-1,42), (p<0.05, respectively). IFNGS was detected in 15 (75%) patients, and was not found in 5 (15%) patients. RTX induced reduction in disease activity, and the level of acute phase reactants (ESR, CRP) after 12 and 24 weeks of therapy, p<0.05 (fig.1). Increased RSAD 2 expression (p<0.05) and a trend to increasing IFNGS levels (p=0.06) were documented in the whole group, and also in patients with moderate treatment effects by week 24. Among patients with a good EULAR response to therapy, changes in expression were not significant (p> 0.05) (fig.1)Figure 1.Conclusion:Expression of IFN-stimulated genes was increased in RA patients compared to healthy donors. Increased RSAD2 and IFNGS expression was documented in patients with moderate effect of RTX therapy, therefore, these findings have important clinical relevance as predictors of RA clinical course which necessitates personified approach to treatment.Disclosure of Interests:None declared

scholarly journals Association of interleukin-17A rs2275913 polymorphism with rheumatoid arthritis susceptibility in Sudanese population

2021 ◽  
Vol 9 ◽  
pp. 205031212110202
Author(s):  
Rgda Mohamed Osman ◽  
Mounkaila Noma ◽  
Abdallah Elssir Ahmed ◽  
Hanadi Abdelbagi ◽  
Rihab Ali Omer ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Confidence Interval ◽  
Statistical Tests ◽  
Demographic Data ◽  
Control Group ◽  
P Value ◽  
Case Group ◽  
Molecular Technique ◽  
Interleukin 17A ◽  
Significant Difference

Objectives: Rheumatoid arthritis is a chronic inflammatory autoimmune disease. This study aimed to determine the association of interleukin-17A-197G/A polymorphism with rheumatoid arthritis in Sudanese patients. Methods: A case–control study was conducted between March and December 2018. Clinical and demographic data of the study participants were collected and analyzed. Polymerase chain reaction restriction fragment length polymorphism molecular technique was done to investigate interleukin-17A-197G/A polymorphisms. All statistical tests were considered statistically significant when p < 0.05. Results: The study population included 266 participants aged between 1 and 85 years, with an average of 40 years, classified into 85 (31.2%) cases (mean age 48.5 ± 11.3 years), and 181 (68.8%) controls (mean age 35.3 ± 15.9 years). The interleukin-17A homozygote AA genotype was more frequent among the control group compared to the case group; 95 (52.5%) and 7 (8.2%), respectively. The homozygote GG and the heterozygote AG genotypes were proportionally not different among the cases and control groups; 13 (54.2%) and 11 (45.8%), and 65 (46.4%) and 75 (53.6%), respectively. According to the distribution of interleukin-17A genotypes, a statistically significant difference was observed among cases with the interleukin-17A AA and AG genotypes, p values 0.001 and 0.004, respectively. For the association interleukin-17A genotypes and family history a negatively significant association was reported (95% confidence interval, –0.219, p value = 0.001). There was also a negatively significant association of interleukin-17A genotypes and anti-cyclic citrullinated peptide (95% confidence interval, −0.141, p value = 0.002). Conclusion: This study is the first study in Sudan established the association between interleukin-17A-197G/A (rs2275913) polymorphisms and susceptibly to rheumatoid arthritis. These findings appeal for further research in Sudan to investigate the exact role of IL-17A in immunopathology and disease severity among Sudanese rheumatoid arthritis

scholarly journals FRI0094 SIGNIFICANT IMPROVEMENT OF NT-PROBNP LEVELS IN RHEUMATOID ARTHRITIS PATIENTS TREATED WITH TOCILIZUMAB AND TOFACITINIB

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 625.2-626
Author(s):  
H. Gerasimova ◽  
T. Popkova ◽  
I. Kirillova ◽  
M. Cherkasova ◽  
A. Martynova ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Cardiovascular Death ◽  
Control Group ◽  
Activity Levels ◽  
Das 28 ◽  
Interleukin 6 Receptor ◽  
Inflammatory Drugs ◽  
Roche Diagnostics

Background:N-terminal pro-brain natriuretic peptide (NT-proBNP) is a recognized predictor of congestive heart failure (CHF) and cardiovascular death. Rheumatoid arthritis (RA) patients (pts) were shown to have higher NT-proBNP concentrations than in general population, but it remains unclear, whether NT-proBNP levels are related to RA duration, activity or treatment.Objectives:To investigate the effect of interleukin 6 receptor inhibitor - tocilizumab (TCZ) and JAK inhibitor - tofacitinib (TOFA) on NT-proBNP levels in RA pts during a 12-month (m) follow-up period.Methods:The study enrolled 60pts (50women/10men) with the lack of efficacy/resistance and/or intolerance of basic anti-inflammatory drugs (DMARDs); median age was 55[42;61] years, median disease duration 55[29;120]m, with moderate to high activity (DAS28-5,1[4,6;6,1], serum positivity for rheumatoid factor (RF)(85%)/ anti-cyclic citrullinated peptide antibodies (ACCP)(80%). The study did not include RA pts with CHF and clinically overt cardiovascular disease (CVD). Twenty nine RA pts received TCZ(8mg/kg) every 4 weeks: 61% received TCZ in combination with methotrexate (MTX), 35% - with low-dose glucocorticoids (GCs). Thirty one RA pts were prescribed oral TOFA at 5 mg BID with dose escalation to 10 mg BID in 8 (26%)pts. TOFA was used in combination with MTX in 90% pts, with GCs – in 29% pts. Pts treated with TCZ and TOFA were comparable in terms of age, sex, body mass index. RA activity rates (DAS28, SDAI, ESR, CRP) were higher in pts on TCZ -therapy compared with pts treated with TOFA. Echocardiography data and NT-proBNP levels using electrochemiluminescence method Elecsys proBNP II (Roche Diagnostics, Switzerland) were obtained at baseline and after 12m.Results:Significant positive changes in major disease activity, clinical and laboratory parameters were found in RA pts after 12 m of TCZ infusion and TOFA intake: remission (DAS28<2,6) was achieved in 54% and 39% pts, low activity levels (DAS28<3,2) – in 46% and 51% pts, respectively.The NT-proBNP levels were significantly higher in RA pts than in the control group (median 69,1 (37,9;105,8) pg/mL vs 55,3 (36,6;67,3) pg/mL,p<0.05).Six pts (10%) (three in each pts group) had NT-proBNP levels over 125pg/ml, but were asymptomatic and had unremarkable echocardiography.There was a good correlation between NT-proBNP level at baseline with age (r=0,55,p<0,001), SDAI (r=0,5, h=0,01), ACCP (r=0,23,p=0,01).Decrease of median NT-proBNP levels was documented after 12m of TCZ therapy (81,5[43,0;102,0]vs41,6[25,4;64,2]pg/ml (p<0,01) and after 12m TOFA therapy (66,1[30,5;105,0]vs16,8 [5,0;81,0]pg/ml,p=0,001).After 12m of TCZ correlations of ΔNT-proBNP were established with ΔESR (R=0,43;p<0,05], ΔСRP (R=0,46;p<0,05], ΔEe left ventricle (LV) (r=0,88,p=0,03).In the group of pts treated with TOFA ΔNT-proBNP level significantly correlated with the percentage change in DAS 28 (r=0,41,p=0,038), there was no direct correlation with changes in the parameters of the LV diastolic function.Conclusion:TCZ and TOFA treatment for 12 m reduced NT-proBNP levels in RA pts without clinically manifest CVD and CHF. Falling NT-proBNP concentrations are associated with positive dynamics of RA activity (DAS 28) and inflammatory markers (CRP, ESR), therefore allowing to suggest that increased NT-proBNP levels should be considered as a component of disease activity. Correlation between ΔNT-proBNP and ΔEeLF may be indicative as possible impact of these biomarkers on the LV diastolic function’s development in RA pts.Disclosure of Interests:None declared

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