scholarly journals Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning

2021 ◽  
Author(s):  
Javier Andreu-Perez
Keyword(s):  
Rheumatoid Arthritis ◽  
Machine Learning ◽  
Lumbar Vertebra ◽  
Accelerometer Data ◽  
Fine Grained ◽  
Long Duration ◽  
Standing Up ◽  
Routine Clinical Examination ◽  
Healthy Control ◽  
The Impact

In addition to routine clinical examination, unobtrusive and physical monitoring of Rheumatoid Arthritis (RA) patients provides an important source of information to enable understanding the impact of the disease on quality of life. Besides an increase in sedentary behaviour, pain in RA can negatively impact simple physical activities such as getting out of bed and standing up from a chair. The objective of this work is to develop a method that can generate fine-grained actigraphies to capture the impact of the disease on the daily activities of patients. A processing methodology is presented to automatically tag activity accelerometer data from a cohort of moderate-to-severe RA patients. A study of procesing methods based on machine learning and deep learning is provided. Thirty subjects, 10 RA patients and 20 healthy control subjects, were recruited in the study. A single tri-axial accelerometer was attached to the position of the fifth lumbar vertebra (L5) of each subject with a tag prediction granularity of 3 s. The proposed method is capable of handling unbalanced datasets from tagged data while accounting for long-duration activities such as sitting and lying, as well as short transitions such as sit-to-stand or lying-to-sit. The methodology also includes a novel mechanism for automatically applying a threshold to predictions by their confidence levels, in addition to a logical filter to correct for infeasible sequences of activities. Performance tests showed that the method was able to achieve around 95% accuracy and 81% F-score. The produced actigraphies can be helpful to generate objective RA disease-specific markers of patient mobility in-between clinical site visits.

scholarly journals Developing Fine-Grained Actigraphies for Rheumatoid Arthritis Patients from a Single Accelerometer Using Machine Learning

Sensors ◽  
2017 ◽  
Vol 17 (9) ◽  
pp. 2113 ◽  
Author(s):  
Javier Andreu-Perez ◽  
Luis Garcia-Gancedo ◽  
Jonathan McKinnell ◽  
Anniek Van der Drift ◽  
Adam Powell ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Machine Learning ◽  
Fine Grained

Forecasting US movies box office performances in Turkey using machine learning algorithms

2020 ◽  
Vol 39 (5) ◽  
pp. 6579-6590
Author(s):  
Sandy Çağlıyor ◽  
Başar Öztayşi ◽  
Selime Sezgin
Keyword(s):  
Machine Learning ◽  
Global Economy ◽  
Learning Algorithms ◽  
Forecast Model ◽  
Machine Learning Algorithms ◽  
Gradient Boosting ◽  
High Stakes ◽  
Box Office ◽  
Industry Forecast ◽  
The Impact

The motion picture industry is one of the largest industries worldwide and has significant importance in the global economy. Considering the high stakes and high risks in the industry, forecast models and decision support systems are gaining importance. Several attempts have been made to estimate the theatrical performance of a movie before or at the early stages of its release. Nevertheless, these models are mostly used for predicting domestic performances and the industry still struggles to predict box office performances in overseas markets. In this study, the aim is to design a forecast model using different machine learning algorithms to estimate the theatrical success of US movies in Turkey. From various sources, a dataset of 1559 movies is constructed. Firstly, independent variables are grouped as pre-release, distributor type, and international distribution based on their characteristic. The number of attendances is discretized into three classes. Four popular machine learning algorithms, artificial neural networks, decision tree regression and gradient boosting tree and random forest are employed, and the impact of each group is observed by compared by the performance models. Then the number of target classes is increased into five and eight and results are compared with the previously developed models in the literature.

The Impact of Proinflammatory Cytokynes of Rheumatoid Polyarthritis on the Generalized Loss of Bone Mass

2018 ◽  
Vol 69 (9) ◽  
pp. 2541-2545
Author(s):  
Raluca Barzoi ◽  
Elena Rezus ◽  
Codruta Badescu ◽  
Razan Al Namat ◽  
Manuela Ciocoiu
Keyword(s):  
Rheumatoid Arthritis ◽  
Immune Cells ◽  
Osteoclast Differentiation ◽  
Bone Destruction ◽  
Nuclear Factor ◽  
Receptor Activator ◽  
Level Function ◽  
Rheumatoid Polyarthritis ◽  
The Impact ◽  
Nuclear Factor Kb

There is a bidirectional interaction between most immune cells and osteoblasts, osteoclasts and their precursor cells. The receptor activator of nuclear factor-kB ligand (RANKL)/RANK/osteoprotegerin (OPG) system plays an essential role in the formation of osteoblasts, but it also has implications in osteoclast biology and implicitly on the diseases characterized by bone loss. Proinflammatory cytokines existing at synovial level function as direct or indirect stimulators of osteoclast differentiation, but also of its survival or activity, although some cytokines may also play an antiosteocastogenic role. The fate of bone destruction is determined by the balance between osteoclastogenic and antiosteoclastogenic mediators. Our study has shown that the early initiation of the therapy with anti-TNF and anti-IL6 biological agents, in patients with rheumatoid arthritis, inhibits bone destruction, regardless of the anti-inflammatory activity in patients with rheumatoid arthritis.

Psychosomatic Features, Compliance and Complementary Therapies in Rheumatoid Arthritis

2020 ◽  
Vol 16 (3) ◽  
pp. 215-223
Author(s):  
Rostislav A. Grekhov ◽  
Galina P. Suleimanova ◽  
Andrei S. Trofimenko ◽  
Liudmila N. Shilova
Keyword(s):  
Quality Of Life ◽  
Rheumatoid Arthritis ◽  
Interpersonal Relationships ◽  
Behavioral Therapy ◽  
Current Data ◽  
Psychotherapeutic Interventions ◽  
And Coping ◽  
Regulation Of Emotion ◽  
The Impact

This review highlights the issue of psychosomatic conditions in rheumatoid arthritis, paying special attention to new researches and trends in this field. Emerging concepts in all the major parts of the problem are covered consecutively, from the impact of chronic musculoskeletal pain on the emotional state to disease influence over quality of life, socio-psychological, and interpersonal relationships. Chronic pain is closely related to emotional responses and coping ability, with a pronounced positive effect of psychotherapeutic interventions, family and social support on it. Psychosexual disorders, anxiety, depression also commonly coexist with rheumatoid arthritis, leading to further decrease in quality of life, low compliance, and high suicide risk. Influence of psychosomatic conditions on the overall treatment effect is usually underestimated by rheumatologists and general practitioners. Psychosomatic considerations are of great importance for up-to-date management of rheumatoid arthritis, as they strongly influence the quality of life, compliance, and thereby disease outcomes. Two major approaches of psychological rehabilitation exist, both coping with pain through the regulation of emotion and psychotherapeutic intervention, which not only helps patients in coping with the disease, but also aimed at improving the overall adaptation of the patient. It includes techniques of relaxation, cognitive-behavioral therapy, and biofeedback therapy. Current data about the efficacy of the additional correcting therapies for patients with rheumatoid arthritis, both emerging and common ones, are discussed in the review.

scholarly journals Aberrant expression of USF2 in refractory rheumatoid arthritis and its regulation of proinflammatory cytokines in Th17 cells

2020 ◽  
Vol 117 (48) ◽  
pp. 30639-30648
Author(s):  
Dan Hu ◽  
Emily C. Tjon ◽  
Karin M. Andersson ◽  
Gabriela M. Molica ◽  
Minh C. Pham ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
T Cells ◽  
Transcription Factor ◽  
Proinflammatory Cytokines ◽  
Th17 Cells ◽  
Gene Set Enrichment Analysis ◽  
Aberrant Expression ◽  
Signature Genes ◽  
The Impact

IL-17–producing Th17 cells are implicated in the pathogenesis of rheumatoid arthritis (RA) and TNF-α, a proinflammatory cytokine in the rheumatoid joint, facilitates Th17 differentiation. Anti-TNF therapy ameliorates disease in many patients with rheumatoid arthritis (RA). However, a significant proportion of patients do not respond to this therapy. The impact of anti-TNF therapy on Th17 responses in RA is not well understood. We conducted high-throughput gene expression analysis of Th17-enriched CCR6+CXCR3−CD45RA−CD4+T (CCR6+T) cells isolated from anti-TNF–treated RA patients classified as responders or nonresponders to therapy. CCR6+T cells from responders and nonresponders had distinct gene expression profiles. Proinflammatory signaling was elevated in the CCR6+T cells of nonresponders, and pathogenic Th17 signature genes were up-regulated in these cells. Gene set enrichment analysis on these signature genes identified transcription factor USF2 as their upstream regulator, which was also increased in nonresponders. Importantly, short hairpin RNA targetingUSF2in pathogenic Th17 cells led to reduced expression of proinflammatory cytokines IL-17A, IFN-γ, IL-22, and granulocyte-macrophage colony-stimulating factor (GM-CSF) as well as transcription factor T-bet. Together, our results revealed inadequate suppression of Th17 responses by anti-TNF in nonresponders, and direct targeting of the USF2-signaling pathway may be a potential therapeutic approach in the anti-TNF refractory RA.

scholarly journals Automatic Identification of Upper Extremity Rehabilitation Exercise Type and Dose Using Body-Worn Sensors and Machine Learning: A Pilot Study

2021 ◽  
pp. 158-166
Author(s):  
Noah Balestra ◽  
Gaurav Sharma ◽  
Linda M. Riek ◽  
Ania Busza
Keyword(s):  
Machine Learning ◽  
Upper Extremity ◽  
Sensor Data ◽  
Inpatient Setting ◽  
Accelerometer Data ◽  
Data Set ◽  
Machine Learning Classification ◽  
Exercise Type ◽  
Exercise Dose ◽  
Rehabilitation Exercises

<b><i>Background:</i></b> Prior studies suggest that participation in rehabilitation exercises improves motor function poststroke; however, studies on optimal exercise dose and timing have been limited by the technical challenge of quantifying exercise activities over multiple days. <b><i>Objectives:</i></b> The objectives of this study were to assess the feasibility of using body-worn sensors to track rehabilitation exercises in the inpatient setting and investigate which recording parameters and data analysis strategies are sufficient for accurately identifying and counting exercise repetitions. <b><i>Methods:</i></b> MC10 BioStampRC® sensors were used to measure accelerometer and gyroscope data from upper extremities of healthy controls (<i>n</i> = 13) and individuals with upper extremity weakness due to recent stroke (<i>n</i> = 13) while the subjects performed 3 preselected arm exercises. Sensor data were then labeled by exercise type and this labeled data set was used to train a machine learning classification algorithm for identifying exercise type. The machine learning algorithm and a peak-finding algorithm were used to count exercise repetitions in non-labeled data sets. <b><i>Results:</i></b> We achieved a repetition counting accuracy of 95.6% overall, and 95.0% in patients with upper extremity weakness due to stroke when using both accelerometer and gyroscope data. Accuracy was decreased when using fewer sensors or using accelerometer data alone. <b><i>Conclusions:</i></b> Our exploratory study suggests that body-worn sensor systems are technically feasible, well tolerated in subjects with recent stroke, and may ultimately be useful for developing a system to measure total exercise “dose” in poststroke patients during clinical rehabilitation or clinical trials.

scholarly journals POS1234 IMPACT OF THE CHANGE IN ADMINISTRATION ROUTE OF TOCILIZUMAB AND ABATACEPT, DUE TO THE COVID-19 LOCKDOWN ON DISEASE ACTIVITY IN PATIENTS WITH RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 900.1-900
Author(s):  
L. Diebold ◽  
T. Wirth ◽  
V. Pradel ◽  
N. Balandraud ◽  
E. Fockens ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Disease Activity ◽  
Univariate Analysis ◽  
Route Of Administration ◽  
Anxiety And Depression ◽  
Administration Route ◽  
Factors Associated ◽  
The Impact

Background:Among therapeutics used to treat rheumatoid arthritis (RA), Tocilizumab (TCZ) and Abatacept (ABA) are both biologic agents that can be delivered subcutaneously (SC) or intravenously (IV). During the first COVID-19 lockdown in France, all patients treated with IV TCZ or IV ABA were offered the option to switch to SC administration.Objectives:The primary aim was to assess the impact of changing the route of administration on the disease activity. The second aim was to assess whether the return to IV route at the patient’s request was associated with disease activity variation, flares, anxiety, depression and low physical activity during the lockdown.Methods:We conducted a prospective monocentric observational study. Eligibility criteria: Adult ≥ 18 years old, RA treated with IV TCZ or IV ABA with a stable dose ≥3 months, change in administration route (from IV to SC) between March 16, 2020, and April 17, 2020. The following data were collected at baseline and 6 months later (M6): demographics, RA characteristics, treatment, history of previous SC treatment, disease activity (DAS28), self-administered questionnaires on flares, RA life repercussions, physical activity, anxiety and depression (FLARE, RAID, Ricci &Gagnon, HAD).The primary outcome was the proportion of patients with a DAS28 variation>1.2 at M6. Analyses: Chi2-test for quantitative variables and Mann-Whitney test for qualitative variables. Factors associated with return to IV route identification was performed with univariate and multivariate analysis.Results:Among the 84 patients who were offered to switch their treatment route of administration, 13 refused to change their treatment. Among the 71 who switched (48 TCZ, 23 ABA), 58 had a M6 follow-up visit (13 lost of follow-up) and DAS28 was available for 49 patients at M6. Main baseline characteristics: female 81%, mean age 62.7, mean disease duration: 16.0, ACPA positive: 72.4%, mean DAS28: 2.01, previously treated with SC TCZ or ABA: 17%.At M6, the mean DAS28 variation was 0.18 ± 0.15. Ten (12.2%) patients had a DAS28 worsening>1.2 (ABA: 5/17 [29.4%] and TCZ: 5/32 [15.6%], p= 0.152) and 19 patients (32.8%) had a DAS28 worsening>0.6 (ABA: 11/17 [64.7%] and TCZ: 8/32 [25.0%], p= 0.007).At M6, 41 patients (77.4%) were back to IV route (26 TCZ, 15 ABA) at their request. The proportion of patients with a DAS28 worsening>1.2 and>0.6 in the groups return to IV versus SC maintenance were 22.5%, 42.5% versus 11.1% and 22.2% (p=0.4), respectively. The univariate analysis identified the following factors associated with the return to IV route: HAD depression score (12 vs 41, p=0.009), HAS anxiety score (12 vs 41, p=0.047) and corticosteroid use (70% vs 100%, p=0.021), in the SC maintenance vs return to IV, respectively.Conclusion:The change of administration route of TCZ and ABA during the first COVID-19 lockdown was infrequently associated with a worsening of RA disease. However, the great majority of the patients (77.4%) request to return to IV route, even without disease activity worsening. This nocebo effect was associated with higher anxiety and depression scores.Disclosure of Interests:None declared

scholarly journals AB0008 THE IMPACT OF STAT4 RS7574865, IL6 RS1800795, IL6R RS2228145 AND RS4845618 ON RHEUMATOID ARTHRITIS SUSCEPTIBILITY IN BELARUSIAN POPULATION

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1307.1-1308
Author(s):  
E. Siniauskaya ◽  
T. Kuzhir ◽  
V. Yagur ◽  
R. Goncharova
Keyword(s):  
Rheumatoid Arthritis ◽  
Blood Donors ◽  
Genetic Model ◽  
Online Tool ◽  
Genotype Frequencies ◽  
Systemic Disorder ◽  
Autoimmune Pathogenesis ◽  
The Impact ◽  
Arthritis Susceptibility

Background:Rheumatoid arthritis (RA) is a chronic systemic disorder of the connective tissue of still unknown aetiology and complex autoimmune pathogenesis that primarily affects small joints. HLA alleles provide for 11-37% of the RA heritability, suggesting the substantial role of the non-HLA loci in genetic predisposition to RA. Among non-HLA loci,IL6, IL6RandSTAT4genes attract attention, however, the data concerning their influence on RA risk are somewhat contradictory.Objectives:The aim of the study was to analyze the involvement of four SNPs (STAT4rs7574865,IL6rs1800795,IL6Rrs2228145 and rs4845618) in RA susceptibility.Methods:187 patients diagnosed with RA (mean age 58.2 ± 11.9), and 380 healthy blood donors (mean age 37.18 ± 10.69 years) were included into the study. DNA extraction from peripheral blood samples was performed using the phenol-chloroform method. SNPs were genotyped using the real-time PCR with fluorescent probes. The allele and genotype frequencies were compared using the χ2 test. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using the VassarStats online tool.Results:Utilizing recessive genetic model we found an association between TT genotype ofSTAT4rs7574865 (OR = 2.362; 95%CI [1.0378 – 5.376], p = 0.038) and RA. ForIL6rs1800795, it was found that CC genotype had significantly higher frequency among patients with rheumatoid arthritis as compared to that in controls (OR = 1.52; 95%CI [1.02 – 2.27], p = 0.0456). No associations ofIL6Rrs2228145 and rs4845618 SNPs with risk of RA were found in the total group of patients vs. controls. It was also shown thatIL6rs1800795 CC genotype frequency was significantly higher among the patients with RF-negative status (p = 0.0019).Conclusion:Thus, we provide evidence for association of theSTAT4rs7574865 andIL6rs1800795 variants with risk of RA in the Belarusian population, some features of interplay being revealed between gene polymorphisms analyzed and RA antibody status. Abovementioned SNPs may contribute to RA genetic susceptibility in the Belarusian population.Disclosure of Interests:None declared

scholarly journals POS1180 TREATMENT COMPLIANCE OF PATIENTS WITH RHEUMATOID ARTHRITIS DURING THE FIRST WAVE OF THE SARS-CoV-2/COVID-19 PANDEMIC IN PORTUGAL: RESULTS FROM THE COVID IN RA (COVIDRA) SURVEY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 871.2-871
Author(s):  
F. Araujo ◽  
N. Gonçalves ◽  
A. F. Mourão
Keyword(s):  
Rheumatoid Arthritis ◽  
Inflammatory Diseases ◽  
Immunosuppressive Treatment ◽  
Treatment Compliance ◽  
Web Based ◽  
Symptoms Of Depression ◽  
Immune Mediated ◽  
Attending Physician ◽  
The Impact ◽  
E Mail

Background:The outcomes of the infection by the SARS-CoV-2 in patients with immune-mediated inflammatory diseases were largely unknown during the early days of the COVID-19 pandemic. It was hypothesized that these patients were at higher risk of morbidity and mortality due to their inherent immune dysfunction and immunosuppressive therapy. Several rheumatology societies issued recommendations urging patients not to stop their anti-rheumatic treatments.Objectives:To assess treatment compliance of patients with rheumatoid arthritis (RA) during the first wave of the SARS-CoV-2/COVID-19 pandemic in Portugal.Methods:The web-based survey COVIDRA (COVID in RA) was developed to assess the impact of the first wave mandatory confinement in patients with RA focusing on 5 domains: RA symptoms, attitudes towards medication, employment status, physical exercise and mental health. The questionnaire was sent to RA patients through e-mail and social media of the Portuguese Society of Rheumatology and two patient associations; and it was filled locally at two rheumatology centers in Lisbon. Recruitment took place during June and July 2020. Descriptive statistics were generated by the survey software and were afterwards transported and evaluated using appropriate biostatistics software.Results:We obtained 441 valid questionnaires. Most respondents were female (88.4%), caucasian (93.6%), with a mean age of 58 (+/-13) years. The majority (57.6%) had longstanding disease (>10 years) and were treated with csDMARDs (63.2%) and/or bDMARDs/tsDMARDS (23,7%). Only 14% (N=61) discontinued or reduced the dosage or frequency of their RA treatment. Most of these changes were previously planned by the attending physician (27.9%). Only 11 patients (18%) discontinued their immunosuppressive medication out of fear of becoming infected with SARS-CoV-2 (corresponding to 2.5% of total responders). Another 11 patients did so because they had no prescription, couldn’t go to the community/hospital pharmacy or couldn’t afford the medication. Although these numbers preclude any statistical analysis, when compared to patients who persisted on their treatment, those discontinuing due to fear of contagion were younger (56.4 vs 58.5 years), all female (100 vs 86.8%), with long-lasting disease (≥ 11 years) (90.9% vs 57.5%), more frequently treated with bDMARDs (36.4 vs 23.1%) and presenting more symptoms of depression (54.5 vs 49.7%).Conclusion:Most RA patients complied with their treatment during the first wave of the SARS-CoV-2 pandemic in Portugal. Only a minority changed their immunosuppressive treatment due to fear of SARS-CoV-2 infection. Very similar rates of immunosuppressive discontinuation due to fear of contagion were reported by other authors (such as Schmeiser et al, Pineda-sic et al and Fragoulis et al).Disclosure of Interests:Filipe Araujo Speakers bureau: Pfizer, Biogen, Novartis, Menarini, Consultant of: MSD, Nuno Gonçalves: None declared, Ana Filipa Mourão: None declared.

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