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Naredo E, Rodriguez-Garcia SC, Terslev L, Martinoli C, Klauser A, Hartung W, Hammer HB, Cantisani V, Zaottini F, Vlad V, Uson J, Todorov P, Tesch C, Sudoł-Szopińska I, Simoni P, Serban O, Sconfienza LM, Sala-Blanch X, Plagou A, Picasso R, Özçakar L, Najm A, Möller I, Micu M, Mendoza-Cembranos D, Mandl P, Malattia C, Lenghel M, Kessler J, Iohom G, de la Fuente J, DʼAgostino MA, Collado P, Bueno A, Bong D, Alfageme F, Bilous D, Gutiu R, Marian A, Pelea M, Fodor D. The EFSUMB Guidelines and Recommendations for Musculoskeletal Ultrasound - Part II: Joint Pathologies, Pediatric Applications, and Guided Procedures. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2022; 43:252-273. [PMID: 34734404 DOI: 10.1055/a-1640-9183] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
The second part of the Guidelines and Recommendations for Musculoskeletal Ultrasound (MSUS), produced under the auspices of EFSUMB, following the same methodology as for Part 1, provides information and recommendations on the use of this imaging modality for joint pathology, pediatric applications, and musculoskeletal ultrasound-guided procedures. Clinical application, practical points, limitations, and artifacts are described and discussed for every joint or procedure. The document is intended to guide clinical users in their daily practice.
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Affiliation(s)
- Esperanza Naredo
- Department of Rheumatology, Bone and Joint Research Unit. Hospital Universitario Fundación Jiménez Díaz, IIS Fundación Jiménez Díaz, and Universidad Autónoma de Madrid, Madrid, Spain
| | | | - Lene Terslev
- Copenhagen Center for Arthritis Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Glostrup, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Carlo Martinoli
- Department of Health Science - DISSAL, University of Genova, Italy
- UO Radiologia, IRCCS Policlinico San Martino, Genova, Italy
| | - Andrea Klauser
- Department of Radiology, Medical University Innsbruck, Section Head Rheumatology and Sports Imaging, Innsbruck, Austria
| | - Wolfgang Hartung
- Clinic for Rheumatology and Clinical Immunology, Asklepios Clinic, Bad Abbach, Germany
| | - Hilde B Hammer
- Department of Rheumatology, Diakonhjemmet Hospital and Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Vito Cantisani
- Department of Radiological, Oncological and Anatomo-pathological Sciences, "Sapienza" University, Rome, Italy
| | - Federico Zaottini
- Department of Health Science - DISSAL, University of Genova, Italy
- UO Radiologia, IRCCS Policlinico San Martino, Genova, Italy
| | - Violeta Vlad
- Sf. Maria Hospital, Rheumatology Department, Bucharest, Romania
| | - Jacqueline Uson
- Department of Rheumatology Hospital Universitario Móstoles, Universidad Rey Juan Carlos, Madrid, Spain
| | - Plamen Todorov
- Department of Internal Disease Propaedeutic and Clinical Rheumatology, Medical University of Plovdiv, Plovdiv, Bulgaria
| | | | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland
| | - Paolo Simoni
- Paediatric Imaging Department, "Reine Fabiola" Children's University Hospital, Université Libre de Bruxelles, Brussels, Belgium
| | - Oana Serban
- 2nd Internal Medicine Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Luca Maria Sconfienza
- IRCCS Istituto Ortopedico Galeazzi, Milano Italy
- Department of Biomedical Sciences for Health, University of Milano, Milano, Italy
| | - Xavier Sala-Blanch
- Department of Anaesthesiology, Hospital Clinic, Department of Human Anatomy, Faculty of Medicine, University of Barcelona, Spain
| | - Athena Plagou
- Ultrasound Unit, Private Radiological Institution, Athens, Greece
| | - Riccardo Picasso
- Department of Health Science - DISSAL, University of Genova, Italy
- UO Radiologia, IRCCS Policlinico San Martino, Genova, Italy
| | - Levent Özçakar
- Department of Physical and Rehabilitation Medicine, Hacettepe University Medical School, Ankara, Turkey
| | - Aurelie Najm
- Institute of Infection, Immunity and Inflammation, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Ingrid Möller
- Instituto Poal de Reumatologia Barcelona, EULAR Working Group Anatomy for the Image, University of Barcelona, International University of Catalunya, Spain
| | - Mihaela Micu
- Rheumatology Division, 2nd Rehabilitation Department, Rehabilitation Clinical Hospital Cluj-Napoca, Romania
| | | | - Peter Mandl
- Division of Rheumatology, Medical University of Vienna, Vienna, Austria
| | - Clara Malattia
- UOC Clinica Pediatrica e Reumatologia, IRCCS Istituto Giannina Gaslini, Department of Neurosciences, Rehabilitation, Ophthalmology, Genetic and Maternal Infantile Sciences (DINOGMI) University of Genoa, Genoa, Italy
| | - Manuela Lenghel
- Radiology Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Jens Kessler
- Department of Anaesthesiology, Division of Pain Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - Gabriella Iohom
- Department of Anaesthesiology and Intensive Care Medicine, Cork University Hospital and University College Cork, Cork, Ireland
| | | | - Maria Antonietta DʼAgostino
- Istituto di Reumatologia Università Cattolica del Sacro Cuore, UOC Reumatologia, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Paz Collado
- Rheumatology Department, Transitional Care Clinic, Hospital Universitario Severo Ochoa, Madrid, Spain
| | - Angel Bueno
- Department of Musculoskeletal Radiology, Hospital Universitario Fundación Alcorcón, Madrid, Spain
| | - David Bong
- Instituto Poal de Reumatologia Barcelona, EULAR Working Group Anatomy for the Image, University of Barcelona, International University of Catalunya, Spain
| | - Fernando Alfageme
- Dermatology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain
| | - Diana Bilous
- 2nd Internal Medicine Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Roxana Gutiu
- 2nd Internal Medicine Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Anamaria Marian
- 2nd Internal Medicine Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Michael Pelea
- 2nd Internal Medicine Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Daniela Fodor
- 2nd Internal Medicine Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania
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Wang S, Hou Y, Li X, Meng X, Zhang Y, Wang X. Practical Implementation of Artificial Intelligence-Based Deep Learning and Cloud Computing on the Application of Traditional Medicine and Western Medicine in the Diagnosis and Treatment of Rheumatoid Arthritis. Front Pharmacol 2022; 12:765435. [PMID: 35002704 PMCID: PMC8733656 DOI: 10.3389/fphar.2021.765435] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 12/09/2021] [Indexed: 12/23/2022] Open
Abstract
Rheumatoid arthritis (RA), an autoimmune disease of unknown etiology, is a serious threat to the health of middle-aged and elderly people. Although western medicine, traditional medicine such as traditional Chinese medicine, Tibetan medicine and other ethnic medicine have shown certain advantages in the diagnosis and treatment of RA, there are still some practical shortcomings, such as delayed diagnosis, improper treatment scheme and unclear drug mechanism. At present, the applications of artificial intelligence (AI)-based deep learning and cloud computing has aroused wide attention in the medical and health field, especially in screening potential active ingredients, targets and action pathways of single drugs or prescriptions in traditional medicine and optimizing disease diagnosis and treatment models. Integrated information and analysis of RA patients based on AI and medical big data will unquestionably benefit more RA patients worldwide. In this review, we mainly elaborated the application status and prospect of AI-assisted deep learning and cloud computation-oriented western medicine and traditional medicine on the diagnosis and treatment of RA in different stages. It can be predicted that with the help of AI, more pharmacological mechanisms of effective ethnic drugs against RA will be elucidated and more accurate solutions will be provided for the treatment and diagnosis of RA in the future.
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Affiliation(s)
- Shaohui Wang
- School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ya Hou
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xuanhao Li
- Chengdu Second People's Hospital, Chengdu, China
| | - Xianli Meng
- State Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yi Zhang
- School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiaobo Wang
- State Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Cipolletta E, Smerilli G, Di Matteo A, Di Battista J, Di Carlo M, Grassi W, Filippucci E. The sonographic identification of cortical bone interruptions in rheumatoid arthritis: a morphological approach. Ther Adv Musculoskelet Dis 2021; 13:1759720X211004326. [PMID: 33948124 PMCID: PMC8053750 DOI: 10.1177/1759720x211004326] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 03/03/2021] [Indexed: 12/25/2022] Open
Abstract
Bone erosions are the hallmark of structural damage in rheumatoid arthritis (RA). Among imaging techniques, ultrasonography (US) has emerged as an accurate, reliable, repeatable, low-cost and non-invasive imaging modality to detect erosive changes in RA. However, small interruptions of the cortical bone detectable by last generation US equipment do not necessarily represent bone erosions. According to the available data, in addition to cortical bone interruption itself, only a few morphological US findings have been proposed to define RA bone erosions. However, other additional features may be considered to facilitate the interpretation of US cortical bone interruptions in RA. These could be summarised using the following four domains: size, site, shape and scenery. This hypothesis article provides a critical literature review of US features characteristic of RA bone erosions and pictorial evidence supporting the potential role of a morphological analysis in the US identification of bone erosions in RA patients. Plain language summary The ultrasonographic morphology of cortical interruptions is helpful for the identification of bone erosions in rheumatoid arthritis: the "four Ss" approach Bone erosions are characteristic features of rheumatoid arthritis. They are associated with a more aggressive disease and with irreversible physical disability. In recent years, ultrasonography has emerged as an accurate and reliable technique for the detection of bone erosions, that appear as interruptions of the cortical bone with variable size. However, cortical bone interruptions do not necessarily represent bone erosions. Since bone erosions represent the earliest evidence of the destructive behaviour of RA, their identification is crucial.Besides the cortical interruption itself, only a few morphological ultrasonographic features were proposed to characterise bone erosions in rheumatoid arthritis.We believe that a morphological approach, including size, site, shape and scenery, may be considered to facilitate the interpretation of ultrasonographic cortical bone interruptions in rheumatoid arthritis.In this hypothesis article we carried out a critical review of the scientific literature and provided extensive pictorial evidence of the ultrasonographic spectrum of cortical interruptions supporting the potential role of considering the "four Ss" for the ultrasonographic identification of bone erosions in rheumatoid arthritis.
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Affiliation(s)
| | | | - Andrea Di Matteo
- Rheumatology Unit, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, ‘Carlo Urbani’ Hospital, Jesi (Ancona), Italy
| | - Jacopo Di Battista
- Rheumatology Unit, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, ‘Carlo Urbani’ Hospital, Jesi (Ancona), Italy
| | - Marco Di Carlo
- Rheumatology Unit, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, ‘Carlo Urbani’ Hospital, Jesi (Ancona), Italy
| | - Walter Grassi
- Rheumatology Unit, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, ‘Carlo Urbani’ Hospital, Jesi (Ancona), Italy
| | - Emilio Filippucci
- Rheumatology Unit, Department of Clinical and Molecular Sciences, Polytechnic University of Marche, ‘Carlo Urbani’ Hospital, Jesi (Ancona), Italy
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Gessl I, Balint PV, Filippucci E, Keen HI, Pineda C, Terslev L, Wildner B, D'Agostino MA, Mandl P. Structural damage in rheumatoid arthritis assessed by musculoskeletal ultrasound: A systematic literature review by the Structural Joint Damage Task Force of the OMERACT Ultrasound Working Group. Semin Arthritis Rheum 2021; 51:627-639. [PMID: 33810864 DOI: 10.1016/j.semarthrit.2021.02.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 02/05/2021] [Accepted: 02/15/2021] [Indexed: 01/11/2023]
Abstract
OBJECTIVES To identify and synthesize the evidence for the use and measurement properties of musculoskeletal ultrasound in assessing structural joint damage in patients with rheumatoid arthritis (RA). METHODS A systematic literature search (SLR) of the PubMed, Embase and Cochrane Library was performed. Original articles were included published in English reporting on ultrasound of bone erosion, cartilage damage and the measurement properties of ultrasound according to the OMERACT filter 2.1. RESULTS Of the 1.495 identified articles 149 were included in the final review, most of which reported on cross-sectional studies and used the OMERACT definitions for ultrasonographic pathology. Among these, bone erosions were assessed in 139 (93.3%), cartilage damage in 24 (16.1%), enthesophytes in 8 (5.4%), osteophytes in 15 (10.1%) and malalignment and ankylosis in a single (0.9%) study, respectively. Most studies (126/149, 84.6%) assessed the joints of the hands. The overwhelming majority of studies (127/149, 85.2%) assessed structural joint damage bilaterally. Validity, reliability and responsiveness were assessed in 21 (14.1%), 34 (22.8%) and 17 (11.4%) studies, respectively. CONCLUSION While the results of this SLR suggest that ultrasound is a sensitive, reliable and feasible tool to detect damage in RA, they also highlight the need for further research and validation. Findings of this SLR will inform the next steps of the OMERACT Ultrasound Working Group in developing an ultrasound score for assessing structural joint damage in patients with RA.
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Affiliation(s)
- I Gessl
- Division of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, 18-20 Währinger Gürtel, Vienna, Austria
| | - P V Balint
- 3rd Rheumatology Department, National Institute of Rheumatology and Physiotherapy, Budapest, Hungary
| | - E Filippucci
- Department of Rheumatology, Universita` Politecnica delle Marche, Jesi, Ancona, Italy
| | - H I Keen
- Medical School, University of Western Australia, Perth, Australia
| | - C Pineda
- Division of Musculoskeletal and Rheumatic Disorders, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico
| | - L Terslev
- Copenhagen Center for Arthritis Research and Center for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Rigshospitalet, Copenhagen, Denmark
| | - B Wildner
- University Library, Medical University of Vienna, Vienna, Austria
| | - M A D'Agostino
- Department of Rheumatology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli IRCSS, Rome, Italy; UFR Simone Veil, Versailles-Saint-Quentin-Paris Saclay University, Versailles, France
| | - P Mandl
- Division of Rheumatology, Department of Internal Medicine III, Medical University of Vienna, 18-20 Währinger Gürtel, Vienna, Austria.
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Peran M, Allado E, Albuisson E, Couderc M, Ornetti P, Roux C, Grosse J, Chary-Valckenaere I, Loeuille D. Performance of ultrasound to assess erosion progression in rheumatoid arthritis. Eur J Radiol 2021; 136:109536. [PMID: 33465551 DOI: 10.1016/j.ejrad.2021.109536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/07/2020] [Accepted: 01/07/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To analyse the performance of ultrasonography (US) to detect bone erosion progression at the patient level and at the joint level by the US score for erosions (USSe) in early-stage and late-stage rheumatoid arthritis (RA) over a 2-year follow-up. METHODS Clinical and demographic information was recorded at baseline, and hands and feet RX were scored according to the Sharp erosion score. USSe was performed at baseline and over 2 years of follow-up on six bilateral joints (MCP2, 3, 5; MTP2, 3, 5). Inter-examiner reproducibility was performed on 14 patients, and the smallest detectable change (SDC) was calculated. US progression was defined as a change in USSe > SDC. RESULTS 71 patients were included: 22 (31.0 %) early RA, and 49 (69.0 %) late RA. The intra-class correlation coefficient values of the USSe for intra- and inter-examiner studies were 0.96 (CI95: 0.93-0.98), and 0.92 (CI95: 0.75-0.97), respectively. On US, erosions prevailed at baseline in MTP5 joints followed by MCP2 and MCP5 joints. With an SDC calculated at 2.3, 28 patients (39.4 %) were classified as progressors, 30 (42.3 %) were stable, and 13 (18.3 %) were regressors during the follow-up. At the joint level, erosion progression was significant on the MCP2 and MTP5 joints in early RA (p < 0.01) and on the MCP5 and MTP5 joints for all RA (p < 0.05). CONCLUSIONS US is a highly reproducible method that is able to detect erosion progression at the patient level for both early and late RA and at the joint level (MCP2 and MTP5) for only early RA.
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Affiliation(s)
- Manon Peran
- Department of Rheumatology, University Hospital of Nancy, 54500, Vandoeuvre-lès-Nancy, France.
| | - Edem Allado
- Center of Sports Medicine and Adapted Physical Activity, University Hospital of Nancy, 54500, Vandoeuvre-lès-Nancy, France
| | - Eliane Albuisson
- Platform of Clinical Research Support PARC (MDS Unity), University Hospital of Nancy, 54500, Vandoeuvre-lès-Nancy, France
| | - Marion Couderc
- Department of Rheumatology, University Hospital of Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Paul Ornetti
- Department of Rheumatology, University Hospital of Dijon, 21000, Dijon, France; INSERM UMR1093-CAPS, Université Bourgogne Franche-Comté, F-21000, Dijon, France
| | - Camille Roux
- Department of Rheumatology, Hospital of Metz, 57000, Metz, France
| | - Julien Grosse
- Department of Rheumatology, University Hospital of Nancy, 54500, Vandoeuvre-lès-Nancy, France
| | - Isabelle Chary-Valckenaere
- Department of Rheumatology, University Hospital of Nancy, 54500, Vandoeuvre-lès-Nancy, France; Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), UMR 7365 CNRS - University of Lorraine, 54500, Vandoeuvre-lès-Nancy, France
| | - Damien Loeuille
- Department of Rheumatology, University Hospital of Nancy, 54500, Vandoeuvre-lès-Nancy, France; Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), UMR 7365 CNRS - University of Lorraine, 54500, Vandoeuvre-lès-Nancy, France
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Yan X, Xu Z, Li S, Yan L, Lyu G, Wang Z. Establishment and verification of an osteoporosis risk model in patients with rheumatoid arthritis: a valuable new model. Arch Osteoporos 2021; 16:3. [PMID: 33394305 PMCID: PMC7782444 DOI: 10.1007/s11657-020-00867-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Accepted: 12/03/2020] [Indexed: 02/03/2023]
Abstract
UNLABELLED To establish a model for osteoporosis risk in patients with rheumatoid arthritis and validate the model. A newly generated predictive model has been suggested to have good differentiation, calibration, and clinical validity and may be a useful clinical model for predicting osteoporosis in patients with rheumatoid arthritis. PURPOSE To establish a prediction model for osteoporosis risk in patients with rheumatoid arthritis and validate the model internally and externally. METHODS A total of 270 patients with rheumatoid arthritis who underwent bone mineral density measurement at our hospital from June 2019 to June 2020 were enrolled in the study. The patients were divided into two groups according to their entry time: a training set containing the first 2/3 of the patients (n = 180) and a validation set containing the remaining 1/3 of the patients (n = 90). Binary logistic regression analysis was used to establish the regression models, and the concordance index (C-index), calibration plot, and decision curve analysis were used to evaluate the prediction model. RESULTS Five variables, including age (X1), course of disease (X2), the disease activity score using 28 joint counts (DAS28) (X4), anti-cyclic citrullinated peptide antibody (CCP) (X7), and 7-joint ultrasonic bone erosion (X14), were selected to enter the model. The prediction model is Logit Y = - 12.647 + 0.133X1 + 0.011X2 + 0.754X4 + 0.001X7 + 0.605X14. The model had good differentiation; the C-index in the internal verification was 0.947 (95% CI is 0.932-0.977) and the C-index in the external verification was 0.946 (95% CI is 0.940-0.994). The calibration plot of the model showed excellent consistency between the prediction probability and actual probability. When > 0.483 was taken as the cutoff value for the diagnosis of osteoporosis, the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and Jordan index of the model were 90.24%, 87.76%, 7.37, 0.11, and 78.00%, respectively. CONCLUSION A newly generated predictive model has been suggested to have good differentiation, calibration, and clinical validity and may be a useful clinical model for predicting osteoporosis in patients with rheumatoid arthritis.
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Affiliation(s)
- Xiaobin Yan
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 China
| | - Zhenhong Xu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 China
| | - Shilin Li
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 China
| | - Lisheng Yan
- Department of Radiology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 China ,Department of Clinical Medicine, Quanzhou Medical College, Quanzhou, 362000 China
| | - Zecheng Wang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000 China
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Grosse J, Allado E, Albuisson É, Pierreisnard A, Couderc M, Chary-Valckenaere I, Loeuille D. Evaluation of Bone Erosions in Rheumatoid Arthritis: The Ultrasound Score for Erosions Versus the Modified Sharp/van der Heijde Score for Erosions. J Rheumatol 2020; 48:335-338. [PMID: 32801137 DOI: 10.3899/jrheum.200286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To evaluate the relationship between the UltraSound Score for Erosions (USSe) and the modified Sharp/van der Heijde score for erosions (SHSe). METHODS One hundred eight patients with rheumatoid arthritis (RA) were included. On radiography, SHSe was evaluated by 2 or 3 blinded readers (in case of discordance). On ultrasonography, erosions were scored on 6 bilateral joints (metacarpophalangeal joints 2,3,5; metatarsophalangeal joints 2,3,5) with a 4-point scale to calculate the USSe. RESULTS The Pearson correlation was good (r = 0.68, P < 0.001) and the agreement illustrated by a Bland-Altman plot was excellent (91%) between the 2 scores, which were complementary in detecting erosions. CONCLUSION The USSe seems to be a valuable tool for assessing erosive damage in RA.
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Affiliation(s)
- Julien Grosse
- J. Grosse, MD, E. Allado, MD, Department of Rheumatology, University Hospital of Nancy;
| | - Edem Allado
- J. Grosse, MD, E. Allado, MD, Department of Rheumatology, University Hospital of Nancy
| | - Éliane Albuisson
- É. Albuisson, MD, PhD, Platform of Clinical Research Support PARC (MDS unity), University Hospital of Nancy, Vandoeuvre-lès-Nancy
| | - Audrey Pierreisnard
- A. Pierreisnard, MD, Department of Rheumatology, Academic Hospital Pitié-Salpêtrière, Paris
| | - Marion Couderc
- M. Couderc, MD, Department of Rheumatology, University Hospital of Clermont-Ferrand, Clermont-Ferrand
| | - Isabelle Chary-Valckenaere
- I. Chary-Valckenaere, MD, PhD, D. Loeuille, MD, PhD, Department of Rheumatology, University Hospital of Nancy, and Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), UMR 7365 CNRS - University of Lorraine, Vandoeuvre-lès-Nancy, France
| | - Damien Loeuille
- I. Chary-Valckenaere, MD, PhD, D. Loeuille, MD, PhD, Department of Rheumatology, University Hospital of Nancy, and Ingénierie Moléculaire et Physiopathologie Articulaire (IMoPA), UMR 7365 CNRS - University of Lorraine, Vandoeuvre-lès-Nancy, France
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ACPA-positive versus ACPA-negative rheumatoid arthritis: two distinct erosive disease entities on radiography and ultrasonography. Rheumatol Int 2019; 40:615-624. [PMID: 31834475 DOI: 10.1007/s00296-019-04492-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 12/03/2019] [Indexed: 12/18/2022]
Abstract
The objective of this study is to assess the prevalence, localization, and severity of bone erosions on radiography (RX) and ultrasonography (US) according to ACPA status in patients with rheumatoid arthritis (RA). 78 patients with ACPA-positive (ACPA+) RA and 30 patients with ACPA-negative (ACPA-) RA fulfilling the ACR 1987 and/or ACR/EULAR 2010 criteria were consecutively included. On RX, a modified Sharp erosion score (SHSe) was evaluated by two blinded readers and one adjudicator for discordant cases (number of eroded joints ≤ three). On US, erosions were scored on six bilateral joints (MCP2, 3, 5; MTP2, 3, 5) with a four-point scale to calculate the total US score for erosions (USSe). The mean total SHSe and USSe were 3.7 and 4.4 times higher in the ACPA+ group than in the ACPA- group, respectively (P < 0.001). On both RX and US, the most discriminating joint between the two groups was MTP5, especially in cases with bilateral erosion. Based on multivariate analyses, ACPA + status was associated with erosive RA on RX according to the EULAR 2013 definition criteria [OR 4.4 (95% CI 1.2-16.4)], and on US according to the following two definitions: the presence of at least two eroded joint facets [OR 3.7 (95% CI 1.4-9.9)] or at least one grade 2 joint facet erosion [OR 9.0 (95% CI 2.8-28.4)]. Compared to ACPA- RA, ACPA + RA is associated independently with more severe erosive disease on RX and US. Both US and RX bilateral erosions in MTP5 joints are highly discriminant for ACPA + RA patients (97.8% in US and 100% in RX).
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