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Kus KJB, LaChance AH, Vleugels RA. Recognition and Management of Cutaneous Connective Tissue Diseases. Med Clin North Am 2021; 105:757-782. [PMID: 34059249 DOI: 10.1016/j.mcna.2021.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Connective tissue diseases (CTDs) encompass a broad spectrum of clinical presentations that involve multidisciplinary management. Cutaneous findings are common in CTD and careful examination of these features aids in appropriate diagnosis and subsequent evaluation. Thorough work-up of CTD is crucial to properly identify disease subtypes and systemic involvement. Management plans can be developed based on diagnosis and systemic manifestations of disease. Disease management often requires treatment with pharmacotherapies with potential for toxicities, further underscoring the importance of diagnostic accuracy in this patient population. Evolving research strives to better elucidate the pathogenic mechanisms of CTDs allowing for more targeted treatment modalities.
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MESH Headings
- Adult
- Comorbidity
- Connective Tissue Diseases/complications
- Connective Tissue Diseases/diagnosis
- Connective Tissue Diseases/drug therapy
- Connective Tissue Diseases/pathology
- Dermatomyositis/diagnosis
- Dermatomyositis/etiology
- Dermatomyositis/pathology
- Diagnosis, Differential
- Drug Therapy/methods
- Drug Therapy/statistics & numerical data
- Drug-Related Side Effects and Adverse Reactions
- Early Diagnosis
- Female
- Humans
- Interdisciplinary Communication
- Lupus Erythematosus, Cutaneous/diagnosis
- Lupus Erythematosus, Cutaneous/etiology
- Lupus Erythematosus, Cutaneous/pathology
- Lupus Erythematosus, Discoid/diagnosis
- Lupus Erythematosus, Discoid/etiology
- Lupus Erythematosus, Discoid/pathology
- Lupus Erythematosus, Systemic/diagnosis
- Lupus Erythematosus, Systemic/etiology
- Lupus Erythematosus, Systemic/pathology
- Male
- Patient Care Management/methods
- Scleroderma, Systemic/diagnosis
- Scleroderma, Systemic/etiology
- Scleroderma, Systemic/pathology
- Vasculitis/diagnosis
- Vasculitis/etiology
- Vasculitis/pathology
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Affiliation(s)
- Kylee J B Kus
- Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA; Oakland University William Beaumont School of Medicine, 586 Pioneer Drive, Rochester, MI 48309-4482, USA
| | - Avery H LaChance
- Connective Tissue Disease Clinic, Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA.
| | - Ruth Ann Vleugels
- Autoimmune Skin Disease Program, Department of Dermatology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA.
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Clinical and Immunological Biomarkers for Systemic Lupus Erythematosus. Biomolecules 2021; 11:biom11070928. [PMID: 34206696 PMCID: PMC8301935 DOI: 10.3390/biom11070928] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/15/2021] [Accepted: 06/17/2021] [Indexed: 12/16/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is characterized by immune system dysfunction and is clinically heterogeneous, exhibiting renal, dermatological, neuropsychiatric, and cardiovascular symptoms. Clinical and physiological assessment is usually inadequate for diagnosing and assessing pathophysiological processes in SLE. Clinical and immunological biomarkers could play a critical role in improving diagnosis, assessment, and ultimately, control of SLE. This article reviews clinical and immunological biomarkers that could diagnose and monitor disease activity in SLE, with and without organ-specific injury. In addition, novel SLE biomarkers that have been discovered through “omics” research are also reviewed.
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Abstract
Since the European League Against Rheumatism/American College of Rheumatology 2019 classification criteria for systemic lupus erythematosus (SLE) were published, they were externally validated by groups worldwide. In particular, the new criteria worked well also in East Asian and pediatric cohorts. Antinuclear antibodies (ANA) as an entry criterion were critically discussed, but the group of ANA-negative patients is small (<5%) worldwide. Specificity of the criteria is dependent on correct attribution only of those criteria that are not better explained by other causes. Although the classification criteria should not be used for diagnosis, many novel aspects inform diagnostic considerations.
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Lee J, Lee YJ, Kim Y. Acute acalculous cholecystitis as the initial manifestation of systemic lupus erythematous: A case report. Medicine (Baltimore) 2021; 100:e26238. [PMID: 34087909 PMCID: PMC8183780 DOI: 10.1097/md.0000000000026238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 05/19/2021] [Indexed: 01/04/2023] Open
Abstract
RATIONALE Acute acalculous cholecystitis (AAC) is an extremely rare manifestation of systemic lupus erythematous (SLE). In previous reports, most of the patients were already diagnosed cases of SLE upon confirmation of AAC. PATIENT CONCERNS A 24-year-old female who initially presented with fever and acute right upper quadrant abdominal pain. She had no medical history. DIAGNOSES Abdominal ultrasonography and computed tomography (CT) showed gallbladder thickening with pericholecystic edema without gallstones or sludge, demonstrating acalculous cholecystitis. She revealed discoid rash on the both shin. Laboratory tests revealed pancytopenia. The titer of antinuclear antibody (ANA) was 1:1280. Anti-dsDNA antibody, anti-phospholipid antibody, anti-Sm antibody test, and proteinuria in 24 hours were positive. Both C3 and C4 were low. Echocardiography and chest CT showed pericardial effusion and pleural effusion. Using the 2019 European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria, the score was 31. We thought AAC of this case that was one of the initial manifestations of SLE. INTERVENTIONS The patient was treated with high-dose prednisolone (1 mg/kg) and hydroxychloroquine 400 mg. OUTCOMES After 4 days of administration of high-dose corticosteroid therapy, symptoms rapidly improved. After 35 days of the treatment, her symptoms and disease activity of SLE were markedly improved. LESSONS Although AAC being the initial manifestation of SLE is very rare, prompt diagnosis and management with corticosteroids precluded surgical intervention. Physicians need to be cognizant of AAC as a disease flare and as a rare initial manifestation of SLE.
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Affiliation(s)
- Jeonghun Lee
- Department of Internal Medicine, Ye Hospital, Anyang
| | - Young Joo Lee
- Department of Obstetrics and Gynecology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea
| | - Youngsun Kim
- Department of Obstetrics and Gynecology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea
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Whittall Garcia LP, Gladman DD, Urowitz M, Touma Z, Su J, Johnson SR. New EULAR/ACR 2019 SLE Classification Criteria: defining ominosity in SLE. Ann Rheum Dis 2021; 80:767-774. [PMID: 33452003 DOI: 10.1136/annrheumdis-2020-218670] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 12/15/2020] [Accepted: 12/22/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To determine the ominosity of the European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) Systemic Lupus Erythematosus Classification Criteria by determining its predictive role for disease severity in the first 5 years following diagnosis. METHODS 867 patients with systemic lupus erythematosus (SLE) from the Toronto Lupus Clinic were included (all first 12 months after SLE diagnosis). The EULAR/ACR criteria score was calculated based on baseline information. To determine disease severity in the first 5 years after diagnosis, adjusted mean SLE Disease Activity Index 2000 (AMS), flares, remission and immunosuppressive treatment were used as outcomes. The Systemic Lupus International Collaborating Clinics (SLICC) registry comprised the validation cohort. RESULTS Based on receiver operating characteristic analysis, a EULAR/ACR score of 20 was used as a threshold to compare outcomes between groups. In the first 5 years of disease course, patients with a score of ≥20 had higher AMS scores (p<0.001) and were more likely to ever experience a flare (p<0.001). These patients had lower probabilities of achieving remission and higher requirements for immunosuppressives. Results were confirmed in the SLICC validation cohort. Patients with a score of ≥20 had higher AMS during the first 5 years of disease (5.4 vs 3.1% and ≥20 vs <20 respectively, p≤0.001). The score correlated with AMS (r=0.43, p≤0.001) in the same time frame. CONCLUSION A EULAR/ACR score of ≥20 is an indicator of ominosity in SLE. Patients with a score of ≥20 were characterised by a more active disease course throughout the first 5 years. These criteria provide prognostic information regarding disease severity in the first 5 years following diagnosis.
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Affiliation(s)
- Laura P Whittall Garcia
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Dafna D Gladman
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Murray Urowitz
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Zahi Touma
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Jiandong Su
- Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Sindhu R Johnson
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
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Adamichou C, Genitsaridi I, Nikolopoulos D, Nikoloudaki M, Repa A, Bortoluzzi A, Fanouriakis A, Sidiropoulos P, Boumpas DT, Bertsias GK. Lupus or not? SLE Risk Probability Index (SLERPI): a simple, clinician-friendly machine learning-based model to assist the diagnosis of systemic lupus erythematosus. Ann Rheum Dis 2021; 80:758-766. [PMID: 33568388 PMCID: PMC8142436 DOI: 10.1136/annrheumdis-2020-219069] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/23/2020] [Accepted: 12/09/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine learning in well-characterised patient data sets to develop an algorithm that can aid SLE diagnosis. METHODS From a discovery cohort of randomly selected 802 adults with SLE or control rheumatologic diseases, clinically selected panels of deconvoluted classification criteria and non-criteria features were analysed. Feature selection and model construction were done with Random Forests and Least Absolute Shrinkage and Selection Operator-logistic regression (LASSO-LR). The best model in 10-fold cross-validation was tested in a validation cohort (512 SLE, 143 disease controls). RESULTS A novel LASSO-LR model had the best performance and included 14 variably weighed features with thrombocytopenia/haemolytic anaemia, malar/maculopapular rash, proteinuria, low C3 and C4, antinuclear antibodies (ANA) and immunologic disorder being the strongest SLE predictors. Our model produced SLE risk probabilities (depending on the combination of features) correlating positively with disease severity and organ damage, and allowing the unbiased classification of a validation cohort into diagnostic certainty levels (unlikely, possible, likely, definitive SLE) based on the likelihood of SLE against other diagnoses. Operating the model as binary (lupus/not-lupus), we noted excellent accuracy (94.8%) for identifying SLE, and high sensitivity for early disease (93.8%), nephritis (97.9%), neuropsychiatric (91.8%) and severe lupus requiring immunosuppressives/biologics (96.4%). This was converted into a scoring system, whereby a score >7 has 94.2% accuracy. CONCLUSIONS We have developed and validated an accurate, clinician-friendly algorithm based on classical disease features for early SLE diagnosis and treatment to improve patient outcomes.
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Affiliation(s)
- Christina Adamichou
- Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Heraklion, Crete, Greece
| | - Irini Genitsaridi
- Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Heraklion, Crete, Greece
| | - Dionysis Nikolopoulos
- Rheumatology and Clinical Immunology Unit, 4th Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Myrto Nikoloudaki
- Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Heraklion, Crete, Greece
| | - Argyro Repa
- Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Heraklion, Crete, Greece
| | - Alessandra Bortoluzzi
- Section of Rheumatology, Department of Medical Sciences, Azienda Ospedaliero Universitaria di Ferrara Arcispedale Sant'Anna, Cona, Emilia-Romagna, Italy
| | - Antonis Fanouriakis
- Rheumatology and Clinical Immunology Unit, 4th Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Rheumatology, "Asklepieion" General Hospital, Athens, Greece
| | - Prodromos Sidiropoulos
- Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Heraklion, Crete, Greece
- Institute of Molecular Biology and Biotechnology, Foundation of Research and Technology-Hellas, Heraklion, Crete, Greece
| | - Dimitrios T Boumpas
- Rheumatology and Clinical Immunology Unit, 4th Department of Internal Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, Athens, Greece
- Laboratory of Immune Regulation and Tolerance, Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Attica, Greece
| | - George K Bertsias
- Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Heraklion, Crete, Greece
- Institute of Molecular Biology and Biotechnology, Foundation of Research and Technology-Hellas, Heraklion, Crete, Greece
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57
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Adamichou C, Genitsaridi I, Nikolopoulos D, Nikoloudaki M, Repa A, Bortoluzzi A, Fanouriakis A, Sidiropoulos P, Boumpas DT, Bertsias GK. Lupus or not? SLE Risk Probability Index (SLERPI): a simple, clinician-friendly machine learning-based model to assist the diagnosis of systemic lupus erythematosus. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2020-219069
expr 893510318 + 842823336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
ObjectivesDiagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine learning in well-characterised patient data sets to develop an algorithm that can aid SLE diagnosis.MethodsFrom a discovery cohort of randomly selected 802 adults with SLE or control rheumatologic diseases, clinically selected panels of deconvoluted classification criteria and non-criteria features were analysed. Feature selection and model construction were done with Random Forests and Least Absolute Shrinkage and Selection Operator-logistic regression (LASSO-LR). The best model in 10-fold cross-validation was tested in a validation cohort (512 SLE, 143 disease controls).ResultsA novel LASSO-LR model had the best performance and included 14 variably weighed features with thrombocytopenia/haemolytic anaemia, malar/maculopapular rash, proteinuria, low C3 and C4, antinuclear antibodies (ANA) and immunologic disorder being the strongest SLE predictors. Our model produced SLE risk probabilities (depending on the combination of features) correlating positively with disease severity and organ damage, and allowing the unbiased classification of a validation cohort into diagnostic certainty levels (unlikely, possible, likely, definitive SLE) based on the likelihood of SLE against other diagnoses. Operating the model as binary (lupus/not-lupus), we noted excellent accuracy (94.8%) for identifying SLE, and high sensitivity for early disease (93.8%), nephritis (97.9%), neuropsychiatric (91.8%) and severe lupus requiring immunosuppressives/biologics (96.4%). This was converted into a scoring system, whereby a score >7 has 94.2% accuracy.ConclusionsWe have developed and validated an accurate, clinician-friendly algorithm based on classical disease features for early SLE diagnosis and treatment to improve patient outcomes.
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Magallares B, Lobo-Prat D, Castellví I, Moya P, Gich I, Martinez-Martinez L, Park H, Millán AM, Laiz A, Díaz-Torné C, Fernandez S, Corominas H. Assessment of EULAR/ACR-2019, SLICC-2012 and ACR-1997 Classification Criteria in SLE with Longstanding Disease. J Clin Med 2021; 10:jcm10112377. [PMID: 34071275 PMCID: PMC8198204 DOI: 10.3390/jcm10112377] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Different classification criteria for systemic lupus erythematosus (SLE) have been launched over the years. Our aim was to evaluate the performance of the EULAR/ACR-2019, SLICC-2012 and ACR-1997 classification criteria in a cohort of SLE patients with longstanding disease. METHODS Descriptive observational study in 79 patients with established and longstanding SLE. The three classification criteria sets were applied to those patients. RESULTS Of the 79 patients, 70 were women (88.6%), with a mean age of 51.8 ± 14 years and a mean disease duration of 15.2 ± 11.5 years. The sensitivity of the different criteria were: 51.9%, 87.3% and 86.1% for ACR-1997, SLICC-2012 and EULAR/ACR-2019, respectively. In total, 68 out of 79 patients (53.7%) met all three classification criteria; 11.4% did not meet any classification criteria and were characterized by low SLEDAI (0.6 ± 0.9), low SLICC/ACR Damage Index (0.88 ± 0.56) and fulfilling only skin domains, antiphospholipid antibodies or hypocomplementemia. To fulfill EULAR/ACR-2019 criteria was associated with low complement levels (p < 0.04), high anti-dsDNA levels (p < 0.001), presence of lupus nephritis III-IV (p < 0.05) and arthritis (p < 0.001). CONCLUSION The EULAR/ACR-2019 classification criteria showed high sensitivity, similar to SLICC-2012, in SLE patients with longstanding disease. Patients with serological, articular or renal involvement are more likely to fulfill SLICC-2012 or EULAR/ACR-2019 criteria.
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Affiliation(s)
- Berta Magallares
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
- Sant Pau Biomedical Research Institute (IIB Sant Pau), 08025 Barcelona, Spain;
- Department of Immunology, Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
| | - David Lobo-Prat
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
| | - Ivan Castellví
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
- Sant Pau Biomedical Research Institute (IIB Sant Pau), 08025 Barcelona, Spain;
- Department of Immunology, Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
| | - Patricia Moya
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
- Sant Pau Biomedical Research Institute (IIB Sant Pau), 08025 Barcelona, Spain;
- Department of Immunology, Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
| | - Ignasi Gich
- Sant Pau Biomedical Research Institute (IIB Sant Pau), 08025 Barcelona, Spain;
- CIBER Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Department of Clinical Epidemiology and Public Health, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain
| | | | - Hye Park
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
| | - Ana Milena Millán
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
| | - Ana Laiz
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
- Sant Pau Biomedical Research Institute (IIB Sant Pau), 08025 Barcelona, Spain;
- Department of Immunology, Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
| | - César Díaz-Torné
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
- Sant Pau Biomedical Research Institute (IIB Sant Pau), 08025 Barcelona, Spain;
- Department of Immunology, Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
| | - Susana Fernandez
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
| | - Hèctor Corominas
- Department of Rheumatology, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain; (B.M.); (D.L.-P.); (I.C.); (P.M.); (H.P.); (A.M.M.); (A.L.); (C.D.-T.); (S.F.)
- Sant Pau Biomedical Research Institute (IIB Sant Pau), 08025 Barcelona, Spain;
- Department of Immunology, Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain
- Correspondence: ; Tel.: +34-932919000
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Nikolopoulos DS, Kostopoulou M, Pieta A, Flouda S, Chavatza K, Banos A, Boletis J, Katsimbri P, Boumpas DT, Fanouriakis A. Transition to severe phenotype in systemic lupus erythematosus initially presenting with non-severe disease: implications for the management of early disease. Lupus Sci Med 2021; 7:7/1/e000394. [PMID: 32601172 PMCID: PMC7326262 DOI: 10.1136/lupus-2020-000394] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 05/08/2020] [Accepted: 05/18/2020] [Indexed: 01/31/2023]
Abstract
Objective Changes in the care of patients with SLE dictate a re-evaluation of its natural history and risk factors for disease deterioration and damage accrual. We sought to decipher factors predictive of a deterioration in phenotype (‘transition’) in patients initially presenting with non-severe disease. Methods Patients from the ‘Attikon’ cohort with disease duration ≥1 year were included. Disease at diagnosis was categorised as mild, moderate or severe, based on the British Isles Lupus Assessment Group manifestations and physician judgement. ‘Transition’ in severity was defined as an increase in category of severity at any time from diagnosis to last follow-up. Multivariable logistic regression was performed to identify baseline factors associated with this transition. Results 462 patients were followed for a median (IQR) of 36 (120) months. At diagnosis, more than half (56.5%) had a mild phenotype. During disease course, transition to more severe forms was seen in 44.2%, resulting in comparable distribution among severity patterns at last follow-up (mild 28.4%, moderate 33.1%, severe 38.5%). Neuropsychiatric involvement at onset (OR 6.33, 95% CI 1.22 to 32.67), male sex (OR 4.53, 95% CI 1.23 to 16.60) and longer disease duration (OR 1.09 per 1 year, 95% CI 1.04 to 1.14) were independently associated with transition from mild or moderate to severe disease. Patients with disease duration ≥3 years who progressed to more severe disease had more than 20-fold increased risk to accrue irreversible damage. Conclusion Almost half of patients with initially non-severe disease progress to more severe forms of SLE, especially men and patients with positive anti-double-stranded DNA or neuropsychiatric involvement at onset. These data may have implications for the management of milder forms of lupus.
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Affiliation(s)
- Dionysis S Nikolopoulos
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece.,Laboratory of Immune regulation and Tolerance, Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Athens, Greece
| | - Myrto Kostopoulou
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece.,Department of Nephrology, Georgios Gennimatas Hospital, Athens, Athens, Greece
| | - Antigoni Pieta
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece
| | - Sofia Flouda
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece
| | - Katerina Chavatza
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece
| | - Aggelos Banos
- Laboratory of Immune regulation and Tolerance, Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Athens, Greece
| | - John Boletis
- Department of Nephrology and Transplantation Unit, Laiko General Hospital, Athens, Athens, Greece
| | - Pelagia Katsimbri
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece
| | - Dimitrios T Boumpas
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece.,Laboratory of Immune regulation and Tolerance, Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Athens, Greece
| | - Antonis Fanouriakis
- 4th Department of Internal Medicine, Joint Rheumatology Program, National and Kapodistrian University of Athens, Athina, Athens, Greece .,Department of Rheumatology, "Asklepieion" General Hospital, Voula, Athens, Greece
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Yavne Y, Edel Y, Berman J, Eviatar T, Shepshelovich D. Quality Evaluation of the Underlying Evidence in the Updated Treatment Recommendations for Systemic Lupus Erythematosus. Rheumatology (Oxford) 2021; 61:240-248. [PMID: 33764408 DOI: 10.1093/rheumatology/keab306] [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] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE Systemic lupus erythematosus (SLE) is a multisystem autoimmune disorder known for its broad clinical spectrum. Recently, the European, British and Latin American rheumatology professional societies (EULAR, BSR and PANLAR) published updated recommendations for SLE management. The objective of this study was to characterize the data supporting the updated recommendations, with the goal of highlighting areas which could benefit from additional high-quality research. METHODS References were compiled from the recently published EULAR, BSR and PANLAR SLE treatment recommendations. Data collected from each study included publication year, treatment regimen, study design, sample size, inclusion and exclusion criteria and relevant SLE diagnostic criteria. Studies with less than 10 patients and those which did not specify the SLE diagnostic criteria used were excluded. RESULTS Altogether 250 studies were included in this study. The majority were prospective and retrospective cohorts (72%), with only a small percentage of randomized controlled trials (28%). The median number of patients included was 37 (IQR 19-86). The revised American College of Rheumatology (ACR) 1982 criteria were the most commonly used criteria for SLE diagnosis (52%), followed by the revised ACR criteria from 1997 (27%). Only a small proportion of studies included the use of disease activity scores when defining study population (15%). CONCLUSIONS Our study has indicated a scarcity of sufficiently powered high-quality research referenced in the recently published SLE treatment guidelines. Well-designed large-scale studies utilizing the updated 2019 SLE diagnostic criteria are needed to better inform healthcare professionals caring for patients with SLE.
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Affiliation(s)
- Yarden Yavne
- Department of Medicine 'T', Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Yonatan Edel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Rheumatology unit, Beilinson Hospital, Rabin Medical Center, Petah Tikva, Israel
| | - Julia Berman
- Department of Medicine 'T', Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Rheumatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Tali Eviatar
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Rheumatology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
| | - Daniel Shepshelovich
- Department of Medicine 'T', Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Abstract
PURPOSE OF REVIEW To review the validation of the European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) 2019 classification criteria for systemic lupus erythematosus (SLE). RECENT FINDINGS Positive antinuclear antibodies, which constitute the obligatory entry criterion of the EULAR/ACR criteria, were found in the vast majority of SLE patients worldwide, with 97% (94-100%) of patients antinuclear antibodies positive in studies investigating EULAR/ACR criteria performance. Combined over the publications, EULAR/ACR criteria sensitivity was 92% (range 85-97%). Specificity varied more relevantly, with the publications published after the EULAR/ACR 2019 criteria showing 93% (83-98%) specificity. Of particular relevance is the good performance of the EULAR/ACR criteria seen in pediatric SLE as well as in early SLE. SUMMARY The new classification criteria have been investigated in an impressive number of cohorts worldwide, adding to the data from the EULAR/ACR criteria project cohort. It is critical to strictly keep to the attribution rule, that items are only counted if there is no more likely alternative explanation than SLE, the domain structure, where only the highest weighted item in a domain counts, and the limitation to highly specific tests for antibodies to double-stranded DNA.
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Affiliation(s)
- Martin Aringer
- Division of Rheumatology, Department of Medicine III, University Medical Center and Faculty of Medicine Carl Gustav Carus at the TU Dresden, Dresden, Germany
| | - Sindhu R Johnson
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, Mount Sinai Hospital
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
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Piga M, Arnaud L. The Main Challenges in Systemic Lupus Erythematosus: Where Do We Stand? J Clin Med 2021; 10:E243. [PMID: 33440874 PMCID: PMC7827672 DOI: 10.3390/jcm10020243] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/04/2021] [Accepted: 01/08/2021] [Indexed: 12/12/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is an immune-mediated multi-systemic disease characterized by a wide variability of clinical manifestations and a course frequently subject to unpredictable flares. Despite significant advances in the understanding of the pathophysiology and optimization of medical care, patients with SLE still have significant mortality and carry a risk of progressive organ damage accrual and reduced health-related quality of life. New tools allow earlier classification of SLE, whereas tailored early intervention and treatment strategies targeted to clinical remission or low disease activity could offer the opportunity to reduce damage, thus improving long-term outcomes. Nevertheless, the early diagnosis of SLE is still an unmet need for many patients. Further disentangling the SLE susceptibility and complex pathogenesis will allow to identify more accurate biomarkers and implement new ways to measure disease activity. This could represent a major step forward to find new trials modalities for developing new drugs, optimizing the use of currently available therapeutics and minimizing glucocorticoids. Preventing and treating comorbidities in SLE, improving the management of hard-to-treat manifestations including management of SLE during pregnancy are among the remaining major unmet needs. This review provides insights and a research agenda for the main challenges in SLE.
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Affiliation(s)
- Matteo Piga
- Rheumatology Unit, AOU University Clinic and University of Cagliari, 09042 Cagliari, Italy;
| | - Laurent Arnaud
- Service de Rhumatologie, Hôpitaux Universitaires de Strasbourg, Université de Strasbourg, 67000 Strasbourg, France
- Centre National de Références des Maladies Systémiques et Auto-immunes Rares Est Sud-Ouest (RESO), 67000 Strasbourg, France
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Fanouriakis A, Tziolos N, Bertsias G, Boumpas DT. Update οn the diagnosis and management of systemic lupus erythematosus. Ann Rheum Dis 2021; 80:14-25. [PMID: 33051219 DOI: 10.1136/annrheumdis-2020-218272] [Citation(s) in RCA: 391] [Impact Index Per Article: 97.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 09/09/2020] [Accepted: 09/10/2020] [Indexed: 12/15/2022]
Abstract
Clinical heterogeneity, unpredictable course and flares are characteristics of systemic lupus erythematosus (SLE). Although SLE is-by and large-a systemic disease, occasionally it can be organ-dominant, posing diagnostic challenges. To date, diagnosis of SLE remains clinical with a few cases being negative for serologic tests. Diagnostic criteria are not available and classification criteria are often used for diagnosis, yet with significant caveats. Newer sets of criteria (European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) 2019) enable earlier and more accurate classification of SLE. Several disease endotypes have been recognised over the years. There is increased recognition of milder cases at presentation, but almost half of them progress overtime to more severe disease. Approximately 70% of patients follow a relapsing-remitting course, the remaining divided equally between a prolonged remission and a persistently active disease. Treatment goals include long-term patient survival, prevention of flares and organ damage, and optimisation of health-related quality of life. For organ-threatening or life-threatening SLE, treatment usually includes an initial period of high-intensity immunosuppressive therapy to control disease activity, followed by a longer period of less intensive therapy to consolidate response and prevent relapses. Management of disease-related and treatment-related comorbidities, especially infections and atherosclerosis, is of paramount importance. New disease-modifying conventional and biologic agents-used alone, in combination or sequentially-have improved rates of achieving both short-term and long-term treatment goals, including minimisation of glucocorticoid use.
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MESH Headings
- Anemia, Hemolytic, Autoimmune/physiopathology
- Anemia, Hemolytic, Autoimmune/therapy
- Antibodies, Monoclonal, Humanized/therapeutic use
- Autoantibodies/immunology
- Azathioprine/therapeutic use
- Calcineurin Inhibitors/therapeutic use
- Cardiovascular Diseases/epidemiology
- Cyclophosphamide/therapeutic use
- Disease Management
- Female
- Glucocorticoids/therapeutic use
- Heart Valve Diseases/physiopathology
- Heart Valve Diseases/therapy
- Humans
- Hydroxychloroquine/therapeutic use
- Hypertension, Pulmonary/physiopathology
- Hypertension, Pulmonary/therapy
- Immunosuppressive Agents/therapeutic use
- Lupus Erythematosus, Systemic/diagnosis
- Lupus Erythematosus, Systemic/immunology
- Lupus Erythematosus, Systemic/physiopathology
- Lupus Erythematosus, Systemic/therapy
- Lupus Nephritis/physiopathology
- Lupus Nephritis/therapy
- Lupus Vasculitis, Central Nervous System/physiopathology
- Lupus Vasculitis, Central Nervous System/therapy
- Macrophage Activation Syndrome/physiopathology
- Macrophage Activation Syndrome/therapy
- Methotrexate/therapeutic use
- Mycophenolic Acid/therapeutic use
- Myocarditis/physiopathology
- Myocarditis/therapy
- Outcome Assessment, Health Care
- Pericarditis/physiopathology
- Pericarditis/therapy
- Phenotype
- Pregnancy
- Pregnancy Complications/epidemiology
- Pregnancy Complications/physiopathology
- Pregnancy Complications/therapy
- Prognosis
- Purpura, Thrombocytopenic, Idiopathic/physiopathology
- Purpura, Thrombocytopenic, Idiopathic/therapy
- Quality of Life
- Recurrence
- Rituximab/therapeutic use
- Severity of Illness Index
- Survival Rate
- Uterine Cervical Neoplasms/epidemiology
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Affiliation(s)
| | - Nikolaos Tziolos
- 4th Department of Internal Medicine, "Attikon" University Hospital, Athens, Greece
| | - George Bertsias
- Rheumatology, Clinical Immunology and Allergy, University of Crete School of Medicine, Iraklio, Crete, Greece
- Laboratory of Autoimmunity-Inflammation, Institute of Molecular Biology and Biotechnology, Heraklion, Crete, Greece
| | - Dimitrios T Boumpas
- 4th Department of Internal Medicine, "Attikon" University Hospital, Athens, Greece
- Joint Rheumatology Program, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- Medical School, University of Cyprus, Nicosia, Cyprus
- Laboratory of Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Cyprus
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Batu ED, Akca UK, Kısaarslan AP, Sağ E, Demir F, Demir S, Çiçek SÖ, Poyrazoglu H, Sozeri B, Bilginer Y, Ozen S. The Performances of the ACR 1997, SLICC 2012, and EULAR/ACR 2019 Classification Criteria in Pediatric Systemic Lupus Erythematosus. J Rheumatol 2020; 48:907-914. [DOI: 10.3899/jrheum.200871] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2020] [Indexed: 12/14/2022]
Abstract
Objective.Systemic lupus erythematosus (SLE) is a chronic autoimmune disease. The American College of Rheumatology (ACR) 1997, Systemic Lupus International Collaborating Clinics (SLICC) 2012, and European League Against Rheumatism (EULAR)/ACR 2019 SLE classification criteria are formed based on data mainly from adult patients. We aimed to test the performances of the SLE classification criteria among pediatric patients with SLE.Methods.Pediatric patients with SLE (n = 262; 80.9% female) were included from 3 different centers in Turkey. As controls, 174 children (60.9% female) with other diseases who had ANA (antinuclear antibody) test results were included. The gold standard for SLE diagnosis was expert opinion.Results.The sensitivities of the ACR 1997, SLICC 2012, and EULAR/ACR 2019 criteria were 68.7%, 95.4%, and 91.6%, respectively. The specificities of the ACR 1997, SLICC 2012, and EULAR/ACR 2019 criteria were 94.8%, 89.7%, and 88.5%, respectively. Eighteen patients with SLE met the SLICC 2012 but not the EULAR/ACR 2019 criteria. Among these, hematologic involvement was prominent (n = 13; 72.2%). Eight patients with SLE fulfilled the EULAR/ACR 2019 but not the SLICC 2012 criteria. Among these, joint involvement was prominent (n = 6; 75%).Conclusion.To our knowledge, this is the largest cohort study of pediatric SLE to test the performances of all 3 classification criteria. The SLICC 2012 criteria yielded the best sensitivity, whereas the ACR 1997 criteria had the best specificity. SLICC 2012 criteria performed better than EULAR/ACR 2019 criteria. Separation of different hematological manifestations in the SLICC 2012 criteria might have contributed to the higher performance of this criteria set.
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66
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Jin H, Huang T, Wu R, Zhao M, Wu H, Long H, Yin H, Liao J, Luo S, Liu Y, Zhang Q, Zhang P, Tan Y, Luo S, Huang X, Deng Y, Liao W, Duan L, Chen J, Zhou Y, Yin J, Qiu H, Yuan J, Wang Z, Li M, Wu X, Chen L, Cai L, Huang C, Li Q, Tang B, Yu B, Li X, Gao X, Hu Y, Ren X, Xue H, Wei Z, Chen J, Li F, Ling G, Luo H, Zhao H, Yang S, Cui Y, Lin Y, Yao X, Sun L, Guo Q, Fang H, Zeng K, Deng D, Zhang J, Li Y, Pu X, Liao X, Dang X, Huang D, Liang Y, Sun Q, Xie H, Zeng L, Huang C, Diao Q, Tao J, Yu J, Li Z, Xu H, Li H, Lai W, Liu X, Wu J, Li T, Lei T, Sun Q, Li Y, Zhang G, Huang X, Lu Q. A comparison and review of three sets of classification criteria for systemic lupus erythematosus for distinguishing systemic lupus erythematosus from pure mucocutaneous manifestations in the lupus disease spectrum. Lupus 2020; 29:1854-1865. [PMID: 33028176 DOI: 10.1177/0961203320959716] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Although the original purpose of the systemic lupus erythematosus (SLE) classification criteria was to distinguish SLE from other mimic diseases, and to facilitate sample selection in scientific research, they have become widely used as diagnostic criteria in clinical situations. It is not known yet if regarding classification criteria as diagnostic criteria, what problems might be encountered? This is the first study comparing the three sets of classification criteria for SLE, the 1997 American College of Rheumatology (ACR’97), 2012 Systemic Lupus International Collaborating Clinics (SLICC’12) and 2019 European League Against Rheumatism/American College of Rheumatology (EULAR/ACR’19), for their ability to distinguish patients with SLE from patients with pure mucocutaneous manifestations (isolated cutaneous lupus erythematosus without internal disease, i-CLE) in the lupus disease spectrum. 1,865 patients with SLE and 232 patients with i-CLE were recruited from a multicenter study. We found that, due to low specificity, none of the three criteria are adept at distinguishing patients with SLE from patients with i-CLE. SLICC’12 performed best among the original three criteria, but if a positive ANA was removed as an entry criterion, EULAR/ACR’19 would performed better. A review of previous studies that compared the three sets of criteria was presented in this work.
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Affiliation(s)
- Hui Jin
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Tao Huang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Ruifang Wu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Ming Zhao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Haijing Wu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Hai Long
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Heng Yin
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Jieyue Liao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Shuangyan Luo
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Yu Liu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Qing Zhang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Peng Zhang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Yixin Tan
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Shuaihantian Luo
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Xin Huang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Yaxiong Deng
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Wei Liao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Liu Duan
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Jianbo Chen
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Yin Zhou
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
- Department of Medical CosmetoIogy, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Jinghua Yin
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Hong Qiu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Jin Yuan
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Zijun Wang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Mengying Li
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Xiaoqi Wu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Lina Chen
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Liangmin Cai
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Cancan Huang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Qianwen Li
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Bingsi Tang
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Bihui Yu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Xin Li
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Xiaofei Gao
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Yixi Hu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Xiaolei Ren
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Haofan Xue
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Zhangming Wei
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
| | - Jinwei Chen
- Department of Rheumatology and Immunology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Fen Li
- Department of Rheumatology and Immunology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Guanghui Ling
- Department of Rheumatology and Immunology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Hui Luo
- Department of Rheumatology and Immunology, Xiangya Hospital of Central South University, Changsha, China
| | - Hongjun Zhao
- Department of Rheumatology and Immunology, Xiangya Hospital of Central South University, Changsha, China
| | - Sen Yang
- Department of Dermatology, Institute of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, China
| | - Yong Cui
- Department of Dermatology, China-Japan Friendship Hospital, Beijing, China
| | - Youkun Lin
- Department of Dermatology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xu Yao
- Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China
| | - Lingyun Sun
- Department of Rheumatology and Immunology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Qing Guo
- Department of Dermatology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hong Fang
- Department of Dermatology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Kang Zeng
- Department of Dermatology and Venereology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Danqi Deng
- Department of Dermatology, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jianzhong Zhang
- Department of Dermatology, Peking University People's Hospital, Beijing, China
| | - Yuzhen Li
- Department of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xiongming Pu
- Department of Dermatology, The People's Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, China
| | - Xiangping Liao
- Department of nephropathy and Rheumatology, The First People's Hospital of ChenZhou, ChenZhou, China
| | - Xiqiang Dang
- Laboratory of Children's Kidney Disease, Children's Medical Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Danlin Huang
- Laboratory of Children's Kidney Disease, Children's Medical Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yumei Liang
- Department of Nephropathy and Rheumatology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Qing Sun
- Department of Dermatology, Qilu Hospital of Shandong University, Jinan, China
| | - Hongju Xie
- Department of Medical cosmetology, First Affiliated Hospital, University of South China, Hengyang, China
| | - Li Zeng
- Department of Medical cosmetology, First Affiliated Hospital, University of South China, Hengyang, China
| | - Cibo Huang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Qingchun Diao
- Department of Dermatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing First People's Hospital, Chongqing, China
| | - Juan Tao
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Jianbin Yu
- Department of Dermatology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenlu Li
- Department of Dermatology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, School of Clinical Medicine, Henan University, Zhengzhou, China
| | - Hanshi Xu
- Department of Rheumatology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hui Li
- Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei Lai
- Department of Dermatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xiguang Liu
- Department of Dermatology, Heilongjiang Provincial Hospital, Harbin, China
| | - Jingjing Wu
- Department of Dermatology, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, China
| | - Tienan Li
- Department of Dermatology, the Seventh People's Hospital of Shenyang, Shenyang, China
| | - Tiechi Lei
- Department of Dermatology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qiuning Sun
- Department of Dermatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yanjia Li
- Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Guoqiang Zhang
- Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xin Huang
- Department of epidemiology, Medical School of Hunan Normal University, Changsha, China
| | - Qianjin Lu
- Department of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Unit of Key Technologies of Immune-Related Skin Diseases Diagnosis and Treatment, Chinese Academy of Medical Sciences (2019RU027), Changsha, China
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Johnson SR, Brinks R, Costenbader KH, Daikh D, Mosca M, Ramsey-Goldman R, Smolen JS, Wofsy D, Boumpas DT, Kamen DL, Jayne D, Cervera R, Costedoat-Chalumeau N, Diamond B, Gladman DD, Hahn B, Hiepe F, Jacobsen S, Khanna D, Lerstrøm K, Massarotti E, McCune J, Ruiz-Irastorza G, Sanchez-Guerrero J, Schneider M, Urowitz M, Bertsias G, Hoyer BF, Leuchten N, Tani C, Tedeschi SK, Touma Z, Schmajuk G, Anic B, Assan F, Chan TM, Clarke AE, Crow MK, Czirják L, Doria A, Graninger WB, Halda-Kiss B, Hasni S, Izmirly PM, Jung M, Kumánovics G, Mariette X, Padjen I, Pego-Reigosa JM, Romero-Diaz J, Rúa-Figueroa Í, Seror R, Stummvoll GH, Tanaka Y, Tektonidou MG, Vasconcelos C, Vital EM, Wallace DJ, Yavuz S, Meroni PL, Fritzler MJ, Naden R, Dörner T, Aringer M. Performance of the 2019 EULAR/ACR classification criteria for systemic lupus erythematosus in early disease, across sexes and ethnicities. Ann Rheum Dis 2020; 79:1333-1339. [PMID: 32816709 DOI: 10.1136/annrheumdis-2020-217162] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVES The European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) 2019 Classification Criteria for systemic lupus erythematosus (SLE) have been validated with high sensitivity and specificity. We evaluated the performance of the new criteria with regard to disease duration, sex and race/ethnicity, and compared its performance against the Systemic Lupus International Collaborating Clinics (SLICC) 2012 and ACR 1982/1997 criteria. METHODS Twenty-one SLE centres from 16 countries submitted SLE cases and mimicking controls to form the validation cohort. The sensitivity and specificity of the EULAR/ACR 2019, SLICC 2012 and ACR 1982/1997 criteria were evaluated. RESULTS The cohort consisted of female (n=1098), male (n=172), Asian (n=118), black (n=68), Hispanic (n=124) and white (n=941) patients; with an SLE duration of 1 to <3 years (n=196) and ≥5 years (n=879). Among patients with 1 to <3 years disease duration, the EULAR/ACR criteria had better sensitivity than the ACR criteria (97% vs 81%). The EULAR/ACR criteria performed well in men (sensitivity 93%, specificity 96%) and women (sensitivity 97%, specificity 94%). Among women, the EULAR/ACR criteria had better sensitivity than the ACR criteria (97% vs 83%) and better specificity than the SLICC criteria (94% vs 82%). Among white patients, the EULAR/ACR criteria had better sensitivity than the ACR criteria (95% vs 83%) and better specificity than the SLICC criteria (94% vs 83%). The EULAR/ACR criteria performed well among black patients (sensitivity of 98%, specificity 100%), and had better sensitivity than the ACR criteria among Hispanic patients (100% vs 86%) and Asian patients (97% vs 77%). CONCLUSIONS The EULAR/ACR 2019 criteria perform well among patients with early disease, men, women, white, black, Hispanic and Asian patients. These criteria have superior sensitivity than the ACR criteria and/or superior specificity than the SLICC criteria across many subgroups.
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Affiliation(s)
- Sindhu R Johnson
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, Mount Sinai Hospital; Institute of Health Policy, Management and Evaulation, University of Toronto, Toronto, Ontario, Canada
| | - Ralph Brinks
- Policlinic and Hiller Research Unit of Rheumatology, Heinrich-Heine-University Duesseldorf, Düsseldorf, Germany
| | - Karen H Costenbader
- Department of Medicine, Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Rheumatology, Harvard Medical School, Boston, Massachusetts, USA
| | - David Daikh
- Medicine/Rheumatology, UCSF Medical Center, San Francisco, California, USA
| | - Marta Mosca
- Rheumatology Unit, University of Pisa, Pisa, Italy
| | - Rosalind Ramsey-Goldman
- Medicine/Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Josef S Smolen
- Rheumatology, Medical University of Vienna, Vienna, Austria
| | - David Wofsy
- Division of Rheumatology, , Russell/Engleman Rheumatology Research Center, University of California, San Francisco, San Francisco, California, USA
| | - Dimitrios T Boumpas
- Medicine, National and Kapodestrian University of Athens, and Biomedical Research Foundation of the Athens Academy, Athens, Greece
- Rheumatology, University of Cyprus Medical School, Nicosia, Nicosia, Cyprus
| | - Diane L Kamen
- Rheumatology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - David Jayne
- Medicine, University of Cambridge, Cambridge, UK
| | - R Cervera
- Autoimmune Diseases, Hospital Clinic, University of Barcelona, Barcelona, Catalonia, Spain
| | - Nathalie Costedoat-Chalumeau
- Internal Medicine, Hospital Cochin, Paris, Île-de-France, France
- INSERM U 1153, Center for Epidemiology and Statistics Sorbonne Paris Cité, Université Paris Descartes-Sorbonne Paris Cité, Paris, France
| | - Betty Diamond
- Autoimmune and Musculoskeletal, Feinstein Institutes for Medical Research, Manhasset, New York, USA
| | - Dafna D Gladman
- Medicine, University of Toronto, Toronto, Ontario, Canada
- Medicine, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Bevra Hahn
- Rheumatology, UCLA School of Medicine, Los Angeles, California, USA
| | - Falk Hiepe
- Rheumatology and Clinical Immunology, Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Søren Jacobsen
- Department of Rheumatology, Copenhagen Lupus and Vasculitis Clinic, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Dinesh Khanna
- Division of Rheumatology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Elena Massarotti
- Rheumatology, Harvard Medical School, Boston, Massachusetts, USA
- Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Joseph McCune
- Division of Rheumatology, University of Michigan, Ann Arbor, Michigan, USA
| | - Guillermo Ruiz-Irastorza
- Autoimmune Diseases Unit, Biocruces Bizkaia Health Research Institute, Hospital Universitario Cruces, Barakaldo, País Vasco, Spain
| | - Jorge Sanchez-Guerrero
- Medicine, Mount Sinai Hospital/University Health Network, University of Toronto, Toronto, Ontario, Canada
- Immunology and Rheumatology, Instituto Nacional de Ciencias Medicas y Nutricion, Mexico City, Mexico
| | - Matthias Schneider
- Policlinic and Hiller Research Unit for Rheumatology, Medical Faculty,Heinrich-Heine-University, Düsseldorf, Germany
| | - Murray Urowitz
- Medicine, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - George Bertsias
- Rheumatology, University of Crete School of Medicine, Iraklio, Crete, Greece
- Laboratory of Autoimmunity-Inflammation, Institute of Molecular Biology and Biotechnology, Heraklion, Crete, Greece
| | - Bimba F Hoyer
- Rheumatology and Clinical Immunology, University of Schleswig-Holstein at Kiel, Kiel, Germany
| | - Nicolai Leuchten
- Medicine III, University Medical Center and Faculty of Medicine Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Chiara Tani
- Rheumatology, Azienda Ospedaliero Universitaria Pisana, Pisa, Toscana, Italy
- Rheumatology, University of Pisa, Pisa, Toscana, Italy
| | - Sara K Tedeschi
- Rheumatology, Harvard Medical School, Boston, Massachusetts, USA
- Medicine, Division of Rheumatology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Zahi Touma
- Division of Rheumatology, Department of Medicine, Toronto Western Hospital, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Gabriela Schmajuk
- Department of Medicine, Division of Rheumatology, University of California, San Francisco, San Francisco, California, USA
| | - Branimir Anic
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University Hospital Centre Zagreb, Zagreb, Croatia
| | - Florence Assan
- INSERM UMR 1163, Université Paris Sud, Hôpitaux Universitaires Paris-Sud, AP-HP, INSERM UMR 1184, Paris, France
| | - Tak Mao Chan
- Department of Medicine, University of Hong Kong, Pokfulam, Hong Kong
| | - Ann Elaine Clarke
- Rheumatology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Mary K Crow
- Mary Kirkland Center for Lupus Research, Hospital for Special Surgery, New York, New York, USA
| | - László Czirják
- Department of Rheumatology and Immunology, University of Pécs, Pécs, Hungary
| | - Andrea Doria
- Division of Rheumatology, University of Padova, Padova, Italy
| | | | | | - Sarfaraz Hasni
- Rheumatology, NIAMS, National Institutes of Health, Bethesda, Maryland, USA
| | - Peter M Izmirly
- Rheumatology, New York University School of Medicine, New York, New York, USA
| | - Michelle Jung
- Rheumatology, University of Calgary, Calgary, Alberta, Canada
| | - Gábor Kumánovics
- Department of Rheumatology and Immunology, University of Pécs, Pécs, Hungary
| | - Xavier Mariette
- Hôpitaux Universitaires Paris-Sud, AP-HP, INSERM UMR, Université Paris Sud, Le Kremlin-Bicêtre, France
| | - Ivan Padjen
- Division of Clinical Immunology and Rheumatology, University of Zagreb School of Medicine and University Hospital Centre Zagreb, Zagreb, Croatia
| | - José M Pego-Reigosa
- Rheumatology, University Hospital of Vigo, IRIDIS Group, Instituto de Investigación Sanitaria Galicia Sur, Vigo, Spain
| | - Juanita Romero-Diaz
- Immunology and Rheumatology, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Tlalpan, Mexico
| | - Íñigo Rúa-Figueroa
- Rheumatology, Dr Negrin University Hospital of Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Raphaèle Seror
- INSERM UMR 1163, Université Paris Sud, Hôpitaux Universitaires Paris-Sud, AP-HP, INSERM UMR 1184, Paris, France
| | | | - Yoshiya Tanaka
- First Department of Internal Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
| | - Maria G Tektonidou
- Medical School, National and Kapodistrian University of Athens, Athinon, Greece
| | | | - Edward M Vital
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - D J Wallace
- Rheumatology, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Sule Yavuz
- Rheumatology, Istanbul Bilim Universitesi, Istanbul, Turkey
| | - Pier Luigi Meroni
- Clinical Immunology and Rheumatology, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Marvin J Fritzler
- Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Ray Naden
- Medicine, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Thomas Dörner
- Rheumatology and Clinical Immunology, Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Martin Aringer
- Rheumatology, University Medical Center and Faculty of Medicine Carl Gustav Carus, Dresden, Germany
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Fanouriakis A, Bertsias G, Boumpas DT. Population-based studies in systemic lupus erythematosus: immune thrombocytopenic purpura or 'blood-dominant' lupus? Ann Rheum Dis 2020; 79:683-684. [PMID: 32312772 DOI: 10.1136/annrheumdis-2020-217356] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 04/02/2020] [Accepted: 04/02/2020] [Indexed: 11/03/2022]
Affiliation(s)
| | - George Bertsias
- Rheumatology, Clinical Immunology and Allergy, University Hospital of Heraklion, Heraklion, Greece
| | - Dimitrios T Boumpas
- Rheumatology and Clinical Immunology Unit, 4th Department of Internal Medicine, University Hospital "Attikon", Athens, Greece
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69
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Teng J, Ye J, Zhou Z, Lu C, Chi H, Cheng X, Liu H, Su Y, Shi H, Sun Y, Yang C. A comparison of the performance of the 2019 European League Against Rheumatism/American College of Rheumatology criteria and the 2012 Systemic Lupus International Collaborating Clinics criteria with the 1997 American College of Rheumatology classification criteria for systemic lupus erythematous in new-onset Chinese patients. Lupus 2020; 29:617-624. [PMID: 32216517 DOI: 10.1177/0961203320914356] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background New criteria published by the European League Against Rheumatism (EULAR) and the American College of Rheumatology (ACR) use a point system that gives varying weight to each of 22 criteria. The aim of this study was to compare the performance of the 2019 EULAR/ACR criteria and the 2012 Systemic Lupus International Collaborating Clinics (SLICC) criteria with the 1997 ACR criteria in a Chinese cohort. Methods A cross-sectional observation study of patients with a clinical diagnosis of SLE was performed. We collected 199 new-onset SLE patients and 175 control subjects. The data were retrospectively collected to establish the patients who fulfilled the 1997 ACR, 2012 SLICC and 2019 EULAR/ACR criteria. The sensitivity and specificity of the three classification criteria were compared using McNemar’s test. Results The sensitivity and specificity of the 2019 EULAR/ACR criteria were 96.5% and 90.3%, respectively. For the 2012 SLICC criteria, the sensitivity and specificity were 92.0% and 84.0%, respectively, while for the 1997 ACR criteria, these two values were 75.4% and 96.0%. Leucopaenia (62%), arthritis (54%) and autoimmune haemolysis (45%) were the most frequently observed clinical manifestations in the group that fulfilled the 2019 EULAR/ACR criteria. Fever was reported by 39% of participants. Conclusion Compared with the 1997 ACR and 2012 SLICC criteria, the 2019 EULAR/ACR criteria performed best in terms of sensitivity but less well in terms of specificity in Chinese new-onset lupus patients.
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Affiliation(s)
- Jialin Teng
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Junna Ye
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Zhuochao Zhou
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Cui Lu
- Department of Haematology and Rheumatology, Shanghai Songjiang District Central Hospital, Shanghai, PR China
| | - Huihui Chi
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Xiaobing Cheng
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Honglei Liu
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Yutong Su
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Hui Shi
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Yue Sun
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Chengde Yang
- Department of Rheumatology and Immunology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
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70
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Nikolopoulos D, Kostopoulou M, Pieta A, Karageorgas T, Tseronis D, Chavatza K, Flouda S, Rapsomaniki P, Banos A, Kremasmenou E, Tzavara V, Katsimbri P, Fanouriakis A, Boumpas DT. Evolving phenotype of systemic lupus erythematosus in Caucasians: low incidence of lupus nephritis, high burden of neuropsychiatric disease and increased rates of late-onset lupus in the 'Attikon' cohort. Lupus 2020; 29:514-522. [PMID: 32106788 PMCID: PMC7168806 DOI: 10.1177/0961203320908932] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE This study aimed to analyse the phenotype of systemic lupus erythematosus (SLE) at first presentation and during follow-up in a newly established SLE cohort based at 'Attikon' University Hospital. The hospital combines primary, secondary and tertiary care for the region of Western Attica, Greece. METHODS This study comprised a mixed prevalent and incident cohort of 555 Caucasian patients diagnosed with SLE according to American College of Rheumatology 1997 criteria and/or the Systemic Lupus Erythematosus International Collaborating Clinics (SLICC) 2012 criteria. Demographic and clinical characteristics, patterns of severity, treatments and SLICC damage index were recorded for each patient at the time of diagnosis and at last evaluation. RESULTS The mean age at lupus diagnosis was 38.3 years (standard deviation = 15.6 years), with a median disease duration at last follow-up of two years (interquartile range 1-11). At initial presentation, the most common 'classification' manifestations were arthritis (73.3%), acute cutaneous lupus (65%) and unexplained fever (25%), while among symptoms not included in any criteria set, Raynaud's phenomenon (33%) was the most common. Kidney and neuropsychiatric involvement as presenting manifestations were present in 10.3% and 11.5% cases, respectively. Irreversible damage accrual was present in 17.8% within six months of disease diagnosis, attributed mainly to thrombotic and neuropsychiatric disease. At last evaluation, 202 (36.4%) patients had developed severe disease, of whom more than half were treated with pulse cyclophosphamide. CONCLUSION In this cohort of Caucasian patients, lupus nephritis is not as common as in older cohorts, while neuropsychiatric disease is emerging as a major frontier in lupus prevention and care. These data may help to document changes in the natural history and treatment of SLE over time and may have implications for its early recognition and management.
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Affiliation(s)
- D Nikolopoulos
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Laboratory of Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - M Kostopoulou
- Department of Nephrology, 'Georgios Gennimatas' Hospital, Athens, Greece
| | - A Pieta
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - T Karageorgas
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - D Tseronis
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - K Chavatza
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - S Flouda
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - P Rapsomaniki
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - A Banos
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Laboratory of Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - E Kremasmenou
- 3rd Department of Internal Medicine, 'Red Cross' Hospital, Athens, Greece
| | - V Tzavara
- Laboratory of Immunology, 'Red Cross' Hospital, Athens, Greece
| | - P Katsimbri
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece
| | - A Fanouriakis
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Department of Rheumatology, 'Asklepieion' General Hospital, Athens, Greece
| | - D T Boumpas
- 4th Department of Internal Medicine, Attikon University Hospital, Joint Rheumatology Program, National and Kapodistrian University of Athens Medical School, Athens, Greece.,Laboratory of Autoimmunity and Inflammation, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.,Medical School, University of Cyprus, Nicosia, Cyprus
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