scholarly journals POS0258 REAL-TIME VERSUS STATIC SCORING IN MUSCULOSKELETAL ULTRASONOGRAPHY IN PATIENTS WITH INFLAMMATORY HAND OSTEOARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 351.2-352
Author(s):  
L. Van de Stadt ◽  
F. Kroon ◽  
M. Reijnierse ◽  
D. Van der Heijde ◽  
F. Rosendaal ◽  
...  
Keyword(s):  
Real Time ◽  
Doppler Signal ◽  
Hand Osteoarthritis ◽  
Scoring Methods ◽  
Research Support ◽  
Patient Level ◽  
Sum Score ◽  
Absolute Agreement ◽  
Sum Scores ◽  
Real Time Ultrasonography

Background:Ultrasound (US) is used in rheumatic musculoskeletal diseases (RMDs) such as hand osteoarthritis (OA) as outcome measure. Traditionally scoring is performed real-time, but central reading of static US images could avoid issues of inter-rater reliability. However, agreement between real-time and static assessment has not been studiedObjectives:To study the agreement between real-time and static scoring of US in inflammatory hand OA.Methods:Ultrasound was performed of 30 joints obtained in 75 patients with hand osteoarthritis, treated with prednisolone or placebo in a randomized double-blind trial. Hand joints were assessed for synovial thickening, effusion, Doppler signal and osteophytes by ultrasound (score 0-3 per joint) at baseline and after treatment. Two ultrasonographers blinded for clinical data scored the live images together (simultaneously) in real-time. A consensus score for each joint was recorded. Representative images stored during scanning were scored by one ultrasonographer minimally 6 months after real-time scoring. For each patient, images of each visit were scored paired, with known chronological order.Agreement between scoring methods was studied at joint level with quadratic weighted kappa. At patient level, intra-class correlations (ICC; mixed effect model, absolute agreement, with clustering taken into account) were calculated at both timepoints. ICCs were also calculated for the delta of sum scores. Responsiveness of scoring methods was analyzed with generalized estimating equations (GEE) with treatment as independent and ultrasonography findings as dependent variable.Results:Thirty-nine patients (52%) were treated with prednisolone and 36 (48%) were treated with placebo. Patient characteristics were well-balanced between treatment groups.All patients had signs of synovial thickening and osteophytes as assessed by real-time ultrasonography, and almost all signs of effusion (99%) or a positive Doppler signal (95%) in at least one joint. Total ultrasonography sum score for osteophytes was high (mean 45 ±SD 12), whereas sum score was low for positive Doppler signal (mean 5.9 ±SD 4.4), with intermediate sum scores for synovial thickening and effusion (mean 16 ±SD 6.3 and 11 ±SD 6.0 respectively). Static sum scores were overall slightly higher (osteophytes mean 48 ±SD 10; Doppler mean 6.9 S±D 5.0; synovial thickening mean 20 ±SD 7.0 and effusion 13 ±SD 6.5)Agreement at baseline was good to excellent at joint level (kappa 0.72-0.88) and moderate to excellent at patient level (ICC 0.59-0.86). Agreement for delta sum scores was poor to fair for synovial thickening and effusion (ICC 0.18 and 0.34 respectively), but excellent for Doppler signal (ICC 0.80) (Table 1).Real-time ultrasonography showed responsiveness to prednisolone with a mean between-group difference of synovial thickening sum score of -2.5 (CI:-4.7 to-0.3). Static ultrasonography did not show a decrease in synovial thickening (Figure 1). No difference in ultrasonography scores was seen for the other ultrasonography features, neither with real-time nor static scoring.Conclusion:While cross-sectional agreement between real-time and static ultrasonography was good, agreement of delta sum scores was not and paired static ultrasonography measurement of synovial thickening did not show responsiveness to prednisone therapy where real-time ultrasonography did. Therefore, when using ultrasonography in clinical trials, real-time dynamic scoring should remain the standard.Table 1.Agreement on patient levelBaselineWeek 6Delta W6-BLICC (95% CI)ICC (95% CI)ICC (95% CI)Synovitis0.59 (0.26-0.76)0.58 (0.24-0.77)0.18 (0 - 0.40)Effusion0.84 (0.66-0.92)0.84 (0.75-0.89)0.34 (0.12-0.53)Osteophytes0.82 (0.50-0.92)0.78 (0.56-0.88)NDDoppler0.86 (0.75-0.92)0.91 (0.85-0.94)0.80 (0.70 -0.87)ICC: intra-class correlation coefficient linear mixed model (random patient, fixed rating), absolute agreement. ND: Not DerterminedDisclosure of Interests:Lotte van de Stadt: None declared, Féline Kroon: None declared, Monique Reijnierse Grant/research support from: Dutch Arthritis Foundation, Désirée van der Heijde Consultant of: bbVie, Amgen, Astellas, AstraZeneca, Bayer, BMS, Boehringer Ingelheim, Celgene, Cyxone, Daiichi, Eisai, Eli-Lilly, Galapagos, Gilead, Glaxo-Smith-Kline, Janssen, Merck, Novartis, Pfizer, Regeneron, Roche, Sanofi, Takeda, UCB Pharma, Frits Rosendaal: None declared, Naghmeh Riyazi: None declared, R. de Slegte: None declared, Jende van Zeben: None declared, Cornelia Allaart: None declared, Margreet Kloppenburg Consultant of: Abbvie, Pfizer, Levicept, GlaxoSmithKline, Merck-Serono, Kiniksa, Flexion, Galapagos, Jansen, CHDR, Grant/research support from: MI-APPROACH, Marion Kortekaas: None declared

scholarly journals Detection of knee synovitis using non-contrast-enhanced qDESS compared with contrast-enhanced MRI

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Bas A. de Vries ◽  
Stephan J. Breda ◽  
Bragi Sveinsson ◽  
Emily J. McWalter ◽  
Duncan E. Meuffels ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Sensitivity And Specificity ◽  
Intraclass Correlation ◽  
Reference Standard ◽  
Characteristic Analysis ◽  
Knee Oa ◽  
Contrast Enhanced ◽  
Sum Score ◽  
Absolute Agreement ◽  
Sum Scores

Abstract Background To assess diagnostic accuracy of quantitative double-echo in steady-state (qDESS) MRI for detecting synovitis in knee osteoarthritis (OA). Methods Patients with different degrees of radiographic knee OA were included prospectively. All underwent MRI with both qDESS and contrast-enhanced T1-weighted magnetic resonance imaging (CE-MRI). A linear combination of the two qDESS images can be used to create an image that displays contrast between synovium and the synovial fluid. Synovitis on both qDESS and CE-MRI was assessed semi-quantitatively, using a whole-knee synovitis sum score, indicating no/equivocal, mild, moderate, and severe synovitis. The correlation between sum scores of qDESS and CE-MRI (reference standard) was determined using Spearman’s rank correlation coefficient and intraclass correlation coefficient for absolute agreement. Receiver operating characteristic analysis was performed to assess the diagnostic performance of qDESS for detecting different degrees of synovitis, with CE-MRI as reference standard. Results In the 31 patients included, very strong correlation was found between synovitis sum scores on qDESS and CE-MRI (ρ = 0.96, p < 0.001), with high absolute agreement (0.84 (95%CI 0.14–0.95)). Mean sum score (SD) values on qDESS 5.16 (3.75) were lower than on CE-MRI 7.13 (4.66), indicating systematically underestimated synovitis severity on qDESS. For detecting mild synovitis or higher, high sensitivity and specificity were found for qDESS (1.00 (95%CI 0.80–1.00) and 0.909 (0.571–1.00), respectively). For detecting moderate synovitis or higher, sensitivity and specificity were good (0.727 (95%CI 0.393–0.927) and 1.00 (0.800–1.00), respectively). Conclusion qDESS MRI is able to, however with an underestimation, detect synovitis in patients with knee OA.

scholarly journals Burnout and Its Relationship with Demographic and Job-Related Variables among Dentists in Lithuania: A Cross-Sectional Study

2021 ◽  
Vol 18 (8) ◽  
pp. 3968
Author(s):  
Eglė Slabšinskienė ◽  
Andrej Gorelik ◽  
Aistė Kavaliauskienė ◽  
Apolinaras Zaborskis
Keyword(s):  
Job Satisfaction ◽  
Emotional Exhaustion ◽  
Maslach Burnout Inventory ◽  
Cross Sectional Study ◽  
Personal Accomplishment ◽  
Cross Sectional ◽  
Satisfaction Index ◽  
Sum Score ◽  
Sum Scores ◽  
High Level

Although burnout has been described as a serious hazard for personal and professional lives and has been surveyed among dentists in many countries, no study has been published regarding burnout among dentists in Lithuania. This study aimed to evaluate the burnout level among Lithuanian dentists and its association with demographic variables, job satisfaction, and other job-related variables. The data were collected among dentists online or during professional conferences while using an anonymous questionnaire (n = 380). The Maslach Burnout Inventory (MBI) was used to evaluate the burnout level. A Poisson regression was applied for the analysis of relationships between variables. We observed that 42.3% of the respondents had a high emotional exhaustion (EE) (95% confidence interval (CI): 37.4–42.3%), while 18.7% (95% CI: 15.0–22.9%) and 28,2% (95% CI: 23.4–32.6%) had high depersonalization (DP) and low personal accomplishment (PA), respectively. Nonetheless, 15.3% (95% CI: 11.8–18.9%) of the study population experienced a high level of overall burnout. An original job satisfaction index was elaborated. It was significantly associated with sum scores of all burnout dimensions: with the EE sum score (Ratio of Sum Score Means (RSSM) 1.54; 95% CI: 1.46–1.62), DP sum score (RSSM 1.59; 95% CI: 1.45–1.74), and PA sum score (RSSM 0.88; 95% CI: 0.84–0.92). It was concluded that Lithuanian dentists can be characterised by high burnout intensity and high prevalence of burnout, being especially evident in emotional exhaustion. The dentist with low job satisfaction appeared to be the most vulnerable to all burnout dimensions.

scholarly journals THU0447 HOME-MONITORING GOUT FLARES WITH A SMARTPHONE APP – RESULTS OF A FEASIBILITY STUDY

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 460.1-461
Author(s):  
B. Pouls ◽  
C. Bekker ◽  
B. Van den Bemt ◽  
A. Gaffo ◽  
M. Flendrie
Keyword(s):  
Technology Acceptance ◽  
Real Time ◽  
Technology Acceptance Model ◽  
Home Monitoring ◽  
Added Value ◽  
Smartphone App ◽  
Research Support ◽  
Acceptance Model ◽  
Gout Flare ◽  
Gout Flares

Background:Gout flares are considered a key clinical and research outcome in gout. Early treatment of gout flares increases patient well-being and warrants timely notification of the treating clinician.Objectives:To test the feasibility of a smartphone app to home-monitor gout flares real-time for both patients with a suspicion of and established gout.Methods:Thirty patients were recruited during their visit at the outpatient rheumatology clinic. Inclusion criteria were age ≥ 18 years, smartphone possession, established gout (crystal proven) or a clinical suspicion of gout and at least one flare reported in the last three months.A straight-forward query app was used to incorporate an adapted version of the 2017 four-criteria gout flare definition.[1] For 90 consecutive days the app asked patients to report their current pain score on an 11-points scale as screening question. Scoring pain below 4 terminated the query, otherwise the app posed the remaining criteria: does the patient experience warm and/or swollen joints and are symptoms regarded as a gout flare. Responses were transmitted in real-time to the dashboard and the clinician was alerted via email if predefined conditions were met. End of study evaluation consisted of the number of generated alerts, duration of (possible) flares and actions taken. Patient feasibility was assessed by measuring app attrition and using a questionnaire based on the Technology Acceptance Model. [2] All constructs were analysed using descriptive statistics.Results:All 30 recruited patients finished the trial. Three minor, resolvable technical issues were reported. Seventeen participants never missed a question. In total 110 responses (4.1%) were missed with three participants responsible for 66 missings. 90% of the participants rated app usability good to excellent and 70% would recommend the app to other patients.Twelve out of thirty patients generated a total amount of 174 alerts where four patients with a suspicion of gout were responsible for 148 alerts (85%). These patients scored three out of four criteria as they had warm, swollen and painful joints but, after consultation with the clinician, their symptoms were not regarded as a gout flare.The 174 alerts belonged to 23 (possible) flares with a median duration of 5 days [IQR 3,5 – 7,5]. Twenty-one pro-active telephone calls were made which resulted in four visits to the clinic within 48 hours. Clinical guidance over the phone consisted of checking in on patient’s symptoms, giving advice and ten medication adjustments.Conclusion:This prospective study shows feasibility of a smartphone app for home-monitoring gout flares for patients because of high usability scores and low attrition rates. The app has added value for gout care because it enables clinicians to act on flares as they occur. The next step is to further implement the app whilst perpetuating investigation into the added value for patients and clinical practice alike.References:[1]Gaffo AL, Dalbeth N, Saag KG, et al. Brief Report: Validation of a Definition of Flare in Patients With Established Gout. Arthritis Rheumatol. 2018;70(3):462-467.[2]Davis Jr. FD. A Technology Acceptance Model for empirically testing new end-user information systems: theory and results. MIT PhD thesis. 1985[3]Stoyanov SR, Hides L, Kavanagh DJ, Wilson H. Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS). JMIR Mhealth Uhealth. 2016;4(2):e72.Acknowledgements:This study was funded by AbbVie and Menarini.Disclosure of Interests: :Bart Pouls: None declared, Charlotte Bekker: None declared, Bart van den Bemt Grant/research support from: UCB, Pfizer and Abbvie, Consultant of: Delivered consultancy work for UCB, Novartis and Pfizer, Speakers bureau: Pfizer, AbbVie, UCB, Biogen and Sandoz., Angelo Gaffo Grant/research support from: Received a research grant from AMGEN, Marcel Flendrie Grant/research support from: M. Flendrie has received grants from Menarini and Grunenthal., Consultant of: M. Flendrie has received consultancy fees from Menarini and Grunenthal.

Real time ultrasonography of the biliary tree or oral cholecystography?

1984 ◽  
Vol 57 (674) ◽  
pp. 193-193
Author(s):  
C. A. McConnell ◽  
G. H. Whitehouse ◽  
A. F. Evans
Keyword(s):  
Real Time ◽  
Biliary Tree ◽  
Oral Cholecystography ◽  
Real Time Ultrasonography

225: The Use of a Novel Device Improves Real-Time Ultrasonography-Guided IV Access

2010 ◽  
Vol 56 (3) ◽  
pp. S74
Author(s):  
R.M. Ferre ◽  
P. Hunt ◽  
J. Palma ◽  
J. Smith
Keyword(s):  
Real Time ◽  
Novel Device ◽  
Real Time Ultrasonography

scholarly journals Estimating Aggregate Environmental Risk Score in Psychiatry: The Exposome Score for Schizophrenia

2021 ◽  
Vol 12 ◽  
Author(s):  
Lotta-Katrin Pries ◽  
Gamze Erzin ◽  
Bart P. F. Rutten ◽  
Jim van Os ◽  
Sinan Guloksuz
Keyword(s):  
Risk Score ◽  
Environmental Risk ◽  
Meta Analysis ◽  
Population Based ◽  
Training Dataset ◽  
Comprehensive Overview ◽  
Sum Score ◽  
Spectrum Disorders ◽  
Sum Scores ◽  
Meta Analyses

To understand the role of environment in the pathoetiology of psychosis spectrum disorders, research has thus far mainly investigated the effects of single exposures in isolation, such as the association between cannabis use and schizophrenia. However, this approach fails to acknowledge the complexity of the exposome, which represents the totality of the environment involving many exposures over an individual's lifetime. Therefore, contemporary research adopting the exposome paradigm has aimed at capturing the combined effect of different environmental exposures by utilizing an aggregate environmental vulnerability score for schizophrenia: the exposome score for schizophrenia. Here, we attempt to provide a comprehensive overview of studies applying the exposome score for schizophrenia. First, we describe several approaches estimating exposomic vulnerability for schizophrenia, which falls into three categories: simple environmental sum scores (sum of dichotomized exposures), meta-analysis-based environmental risk score (sum scores weighted by estimates from meta-analyses), and the exposome score (sum score weighted by estimates from an analysis in an independent training dataset). Studies show that the exposome score for schizophrenia that assumes interdependency of exposures performs better than scores that assume independence of exposures, such as the environmental sum score and the meta-analysis-based environmental risk score. Second, we discuss findings on the pluripotency of the exposome score for schizophrenia and summarize findings from gene-environment studies using the exposome score for schizophrenia. Finally, we discuss possible scientific, clinical, and population-based applications of exposome score for schizophrenia, as well as limitations and future directions for exposome research to understand the etiology of psychosis spectrum disorders.

Sign in / Sign up

Export Citation Format

Share Document