| 1. |
- Huynh, C., et al.
(författare)
-
Factors associated with the orthopaedic surgeon's decision to recommend total joint replacement in hip and knee osteoarthritis : an international cross-sectional study of 1905 patients
- 2018
-
Ingår i: Osteoarthritis and Cartilage. - : Elsevier BV. - 1063-4584. ; 26:10, s. 1311-1318
-
Tidskriftsartikel (refereegranskat)abstract
- Objective: To determine factors associated with orthopaedic surgeons’ decision to recommend total joint replacement (TJR) in people with knee and hip osteoarthritis (OA). Design: Cross-sectional study in eleven countries. For consecutive outpatients with definite hip or knee OA consulting an orthopaedic surgeon, the surgeon's indication of TJR was collected, as well as patients’ characteristics including comorbidities and social situation, OA symptom duration, pain, stiffness and function (Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]), joint-specific quality of life, Osteoarthritis Research Society International (OARSI) joint space narrowing (JSN) radiographic grade (0–4), and surgeons’ characteristics. Univariable and multivariable logistic regressions were performed to identify factors associated with the indication of TJR, adjusted by country. Results: In total, 1905 patients were included: mean age was 66.5 (standard deviation [SD], 10.8) years, 1082 (58.0%) were women, mean OA symptom duration was 5.0 (SD 7.0) years. TJR was recommended in 561/1127 (49.8%) knee OA and 542/778 (69.7%) hip OA patients. In multivariable analysis on 516 patients with complete data, the variables associated with TJR indication were radiographic grade (Odds Ratio, OR for one grade increase, for knee and hip OA, respectively: 2.90, 95% confidence interval [1.69–4.97] and 3.30 [2.17–5.03]) and WOMAC total score (OR for 10 points increase: 1.65 [1.32–2.06] and 1.38 [1.15–1.66], respectively). After excluding radiographic grade from the analyses, on 1265 patients, greater WOMAC total score was the main predictor for knee and hip OA; older age was also significant for knee OA. Conclusion: Radiographic severity and patient-reported pain and function play a major role in surgeons’ recommendation for TJR.
|
|
| 2. |
- Mehta, S. P., et al.
(författare)
-
Cross-cultural validation of the ICOAP and physical function short forms of the HOOS and KOOS in a multi-country study of patients with hip and knee osteoarthritis
- 2016
-
Ingår i: Osteoarthritis and Cartilage. - : Elsevier BV. - 1063-4584. ; 24:12, s. 2077-2081
-
Tidskriftsartikel (refereegranskat)abstract
- Objective To evaluate the internal consistency and construct validity of the Physical Function short-forms for the Hip and Knee Injury Osteoarthritis Outcome Scores (HOOS-PS/KOOS-PS) and the Intermittent and Constant Osteoarthritis Pain (ICOAP) in a nine country study of patients consulting for total hip or knee replacement (THR or TKR). Methods Patients completed HOOS-PS or KOOS-PS, ICOAP and Western Ontario and McMaster Universities' Osteoarthritis Index (WOMAC) pain and physical function subscales at their consultation visit. Internal consistency was calculated using Cronbach's alpha. The association of HOOS-PS/KOOS-PS and ICOAP with WOMAC pain and function subscales was calculated with Spearman correlation coefficients with 95% confidence intervals. Results HOOS-PS/KOOS-PS and ICOAP demonstrated high internal consistency across countries (alpha 0.75–0.96 (hip) and 0.76–0.95 (knee)). Both HOOS-PS and KOOS-PS demonstrated high correlations (0.76–0.90 and 0.75–0.91, respectively) with WOMAC function in all countries. ICOAP exhibited moderate to high correlations with WOMAC pain and function subscales (0.53–0.84 (hip) and 0.43–0.84 (knee)). Conclusion The psychometric properties of the HOOS-PS/KOOS-PS, and ICOAP were maintained across all countries.
|
|
| 3. |
- Radner, H, et al.
(författare)
-
2017 EULAR recommendations for a core data set to support observational research and clinical care in rheumatoid arthritis
- 2018
-
Ingår i: Annals of the rheumatic diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 77:4, s. 476-479
-
Tidskriftsartikel (refereegranskat)abstract
- Personalised medicine, new discoveries and studies on rare exposures or outcomes require large samples that are increasingly difficult for any single investigator to obtain. Collaborative work is limited by heterogeneities, both what is being collected and how it is defined. To develop a core set for data collection in rheumatoid arthritis (RA) research which (1) allows harmonisation of data collection in future observational studies, (2) acts as a common data model against which existing databases can be mapped and (3) serves as a template for standardised data collection in routine clinical practice to support generation of research-quality data. A multistep, international multistakeholder consensus process was carried out involving voting via online surveys and two face-to-face meetings. A core set of 21 items (‘what to collect’) and their instruments (‘how to collect’) was agreed: age, gender, disease duration, diagnosis of RA, body mass index, smoking, swollen/tender joints, patient/evaluator global, pain, quality of life, function, composite scores, acute phase reactants, serology, structural damage, treatment and comorbidities. The core set should facilitate collaborative research, allow for comparisons across studies and harmonise future data from clinical practice via electronic medical record systems.
|
|
| 4. |
- Zangi, HA, et al.
(författare)
-
EULAR recommendations for patient education for people with inflammatory arthritis
- 2015
-
Ingår i: Annals of the rheumatic diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 74:6, s. 954-962
-
Tidskriftsartikel (refereegranskat)abstract
- The task force aimed to: (1) develop evidence-based recommendations for patient education (PE) for people with inflammatory arthritis, (2) identify the need for further research on PE and (3) determine health professionals’ educational needs in order to provide evidence-based PE.MethodsA multidisciplinary task force, representing 10 European countries, formulated a definition for PE and 10 research questions that guided a systematic literature review (SLR). The results from the SLR were discussed and used as a basis for developing the recommendations, a research agenda and an educational agenda. The recommendations were categorised according to level and strength of evidence graded from A (highest) to D (lowest). Task force members rated their agreement with each recommendation from 0 (total disagreement) to 10 (total agreement).ResultsBased on the SLR and expert opinions, eight recommendations were developed, four with strength A evidence. The recommendations addressed when and by whom PE should be offered, modes and methods of delivery, theoretical framework, outcomes and evaluation. A high level of agreement was achieved for all recommendations (mean range 9.4–9.8). The task force proposed a research agenda and an educational agenda.ConclusionsThe eight evidence-based and expert opinion-based recommendations for PE for people with inflammatory arthritis are intended to provide a core framework for the delivery of PE and training for health professionals in delivering PE across Europe.
|
|
| 5. |
|
|
| 6. |
- Gossec, L., et al.
(författare)
-
European League Against Rheumatism (EULAR) recommendations for the management of psoriatic arthritis with pharmacological therapies : 2015 update
- 2016
-
Ingår i: Annals of the Rheumatic Diseases. - London : BMJ Books. - 0003-4967 .- 1468-2060. ; 75:3, s. 499-510
-
Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Since the publication of the European League Against Rheumatism recommendations for the pharmacological treatment of psoriatic arthritis (PsA) in 2012, new evidence and new therapeutic agents have emerged. The objective was to update these recommendations.METHODS: A systematic literature review was performed regarding pharmacological treatment in PsA. Subsequently, recommendations were formulated based on the evidence and the expert opinion of the 34 Task Force members. Levels of evidence and strengths of recommendations were allocated.RESULTS: The updated recommendations comprise 5 overarching principles and 10 recommendations, covering pharmacological therapies for PsA from non-steroidal anti-inflammatory drugs (NSAIDs), to conventional synthetic (csDMARD) and biological (bDMARD) disease-modifying antirheumatic drugs, whatever their mode of action, taking articular and extra-articular manifestations of PsA into account, but focusing on musculoskeletal involvement. The overarching principles address the need for shared decision-making and treatment objectives. The recommendations address csDMARDs as an initial therapy after failure of NSAIDs and local therapy for active disease, followed, if necessary, by a bDMARD or a targeted synthetic DMARD (tsDMARD). The first bDMARD would usually be a tumour necrosis factor (TNF) inhibitor. bDMARDs targeting interleukin (IL)12/23 (ustekinumab) or IL-17 pathways (secukinumab) may be used in patients for whom TNF inhibitors are inappropriate and a tsDMARD such as a phosphodiesterase 4-inhibitor (apremilast) if bDMARDs are inappropriate. If the first bDMARD strategy fails, any other bDMARD or tsDMARD may be used.CONCLUSIONS: These recommendations provide stakeholders with an updated consensus on the pharmacological treatment of PsA and strategies to reach optimal outcomes in PsA, based on a combination of evidence and expert opinion. © 2015 BMJ Publishing Group Ltd & European League Against Rheumatism.
|
|
| 7. |
- Kedra, J, et al.
(författare)
-
Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations
- 2019
-
Ingår i: RMD open. - : BMJ. - 2056-5933. ; 5:2, s. e001004-
-
Tidskriftsartikel (refereegranskat)abstract
- To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).MethodsA systematic literature review was performed in PubMed MEDLINE in November 2018, with key words referring to big data, AI and RMDs. All original reports published in English were analysed. A mirror literature review was also performed outside of RMDs on the same number of articles. The number of data analysed, data sources and statistical methods used (traditional statistics, AI or both) were collected. The analysis compared findings within and beyond the field of RMDs.ResultsOf 567 articles relating to RMDs, 55 met the inclusion criteria and were analysed, as well as 55 articles in other medical fields. The mean number of data points was 746 million (range 2000–5 billion) in RMDs, and 9.1 billion (range 100 000–200 billion) outside of RMDs. Data sources were varied: in RMDs, 26 (47%) were clinical, 8 (15%) biological and 16 (29%) radiological. Both traditional and AI methods were used to analyse big data (respectively, 10 (18%) and 45 (82%) in RMDs and 8 (15%) and 47 (85%) out of RMDs). Machine learning represented 97% of AI methods in RMDs and among these methods, the most represented was artificial neural network (20/44 articles in RMDs).ConclusionsBig data sources and types are varied within the field of RMDs, and methods used to analyse big data were heterogeneous. These findings will inform a European League Against Rheumatism taskforce on big data in RMDs.
|
|
| 8. |
|
|
| 9. |
|
|
| 10. |
|
|
