Abstract
Purpose of review:
To compare the recently published European League Against Rheumatism (EULAR)/ American College of Rheumatology (ACR) classification criteria for SLE with the Systemic Lupus International Collaborating Centers (SLICC) criteria and the earlier ACR criteria, focusing on their key concepts.
Recent findings:
While the SLICC criteria introduced numbers of new criteria items, the new EULAR/ACR criteria added only non-infectious fever, based on a an early SLE cohort study and an SLE patient survey, and condensed hematological, mucocutaneous and neurological items. Whereas the SLICC criteria maintained the overall structure familiar from the ACR criteria, the EULAR /ACR criteria use anti-nuclear antibodies (ANA) as an obligatory entry criterion, have weighted criteria and group these in domains. Where the SLICC criteria greatly increased sensitivity, losing some specificity, the EULAR/ACR criteria increased specificity again, for excellent classification criteria performance.
Summary:
Despite differences in structure and statistical performance, the EULAR/ACR and SLICC criteria agree on the importance of both immunological and clinical findings, on the high impact of lupus nephritis by histology, and on most clinical items.
Keywords: Systemic lupus erythematosus, classification criteria, diagnosis, autoantibodies, lupus nephritis
Introduction
Classification criteria are essential for science, defining a group of patients sufficiently homogenous to make meaningful clinical trials and translational studies possible. Beyond this, however, useful classification criteria will shape our concept of the disease. This was definitely true for the 1982 SLE classification criteria system of the American College of Rheumatology (ACR), with 11 criteria, at least four of which had to be positive for classification [1]. In 1997, these criteria were amended to include two of the three current standard tests for anti-phospholipid antibodies, namely anti-cardiolipin antibodies and lupus anticoagulant [2]. At the same time, the LE cell phenomenon was released into history. Further progress led to an increase in information pertinent to SLE classification. Prominent examples were routine measurement of serum complement levels [3–5] and renal biopsy having become the standard approach for managing patients with (suspected) lupus nephritis [6,7]. While useful, the ACR criteria did not keep up with better understanding of the clinical manifestations and laboratory findings in SLE (Figure 1). This prompted the need for new SLE classification criteria.
Figure 1:

Sensitivities (dotted) and specificities (solid) for the ACR 1997 criteria, the SLICC 2012 criteria and the EULAR/ACR 2019 criteria for SLE in the EULAR/ACR validation cohort [9,10](black) and the SLICC validation cohort [19](grey). The ACR 1982 criteria are added with their one validation cohort data (1).
With close to ten years between them, the criteria of the Systemic Lupus International Collaborating Centers (SLICC)[8] and the new European League Against Rheumatism (EULAR)/ACR criteria [9,10] took different approaches, namely maintaining the structure, but adding several new items and two new concepts for the SLICC criteria and changing the structure and overall reducing items for the EULAR/ACR criteria.
Published in 2012, the SLICC criteria increased sensitivity, included many new items and stressed two important concepts, first that SLE required at least one clinical and at least one autoimmune measure and secondly, the special role of lupus nephritis in that, when biopsy proven, it could “stand alone” [8]. In 2019, this was followed by the EULAR/ACR criteria, which stressed specificity, condensed the list of items and changed the overall structure by using anti-nuclear antibodies (ANA) as an obligatory entry criterion and by adding individual weights for all criteria items [9,10].
The EULAR/ACR criteria in many ways reiterate many advances in the SLICC criteria, including similar definitions and similar requirement of autoimmune measures. Some of this may have been parallel development, given that SLE experts worldwide luckily communicate and thus evolve concepts together. More likely, however, SLICC concepts had already reshaped ideas on SLE of many of the SLE experts working on the EULAR/ACR classification criteria, much the same as the ACR criteria had previously exerted such influence. The focus of this review will be the key concepts in the classification criteria.
Sensitivity as a critical issue
At a sensitivity of 83% in all three cohorts [1,8–10], the revised ACR criteria for SLE performed well as compared to other criteria, but still excluded one in six SLE patients. This sensitivity was sufficient for some scientific purposes. When, however, the ACR classification criteria became the central measure of accepting or not accepting a diagnosis of SLE, this limited sensitivity gap turned into a serious problem. Despite the ACR and EULAR steadfastly and appropriately reiterating the point that classification criteria are not for diagnosis [11,12], the complexity of SLE invites reliance on classification criteria, and when there is limited experience with SLE, in particular. The SLICC criteria, in contrast, have not been limited to research use only.
Importantly, sensitivity drops further in early disease [13–15]. This is logical given that criteria items may accumulate over time, independent of each other, and that patients may present with “organ-dominant” SLE [16]. Beyond issues with diagnosis and therapy, reduced sensitivity for early disease may even influence scientific results by condensing the patient population to the subset of patients with multi-organ, more long term, involvement.
Increasing sensitivity was therefore an important goal of the SLICC criteria [8]. This goal was addressed by the provision that lupus nephritis on histology in combination with positive ANA or antibodies to double-stranded DNA (dsDNA) was sufficient for classification, the first example of weighting criteria. SLICC also added items, such as alopecia or low serum complement (Tables 1 and 2). On clinical grounds, these changes were desirable anyway. Statistical fine-tuning (based on regression analyses) also led to new definitions for leukopenia, lymphopenia and arthritis, as well as to the splitting of hematology into three distinct items [8].
Table 1. Immunological criteria items evolving.
Please notice that the SLICC criteria demand at least one immunological criterion for classification. Domains of the EULAR/ACR 2019 criteria are separated by background color.
| ACR 1982 | ACR 1997 | SLICC | EULAR/ACR | |
|---|---|---|---|---|
| Immunologic disorder | •Positive LE cell preparation •Anti-DNA •Anti-Sm •False positive serologic test for syphilis |
- | - | - |
| •Anti-DNA •Anti-Sm •Anti-phospholipid* |
Anti-dsDNA | Anti-dsDNA (6) | ||
| Anti-Sm | Anti-Sm (6) | |||
| Anti-phospholipid* | Anti-phospholipid* (2) | |||
| - | Low complement* | Low C3 and C4 (4) | ||
| Low C3 or C4 (3) | ||||
| - | Positive Coombs test without hemolysis* | - | ||
| ANA | Antinuclear antibody§ | ANA* | Entry criterion* | |
Definitions apply.
Exclusions apply.
Table 2. Clinical criteria items evolving.
Domains of the EULAR/ACR 2019 criteria are separated by background color.
| ACR 1982 | ACR 1997 | SLICC | EULAR/ACR | |
|---|---|---|---|---|
| ACLE | Malar rash | •Malar rash§ •Bullous lupus •Toxic epidermal necrolysis variant •Maculopapular lupus rash •Photosensitive lupus rash§ •SCLE |
•Malar rash (6) •Maculopapular lupus rash (6) |
|
| SCLE | - | SCLE (4) | ||
| CCLE | Discoid rash | •Discoid rash* •Hypertrophic lupus •Lupus panniculitis •Mucosal lupus •LE tumidus •Chillblains lupus •Discoid lupus/lichen planus overlap |
Discoid lupus (4) | |
| Photosensitivity | Photosensitivity | - † | - † | |
| Mucosal ulcers | Oral ulcers | •Oral ulcers*§ •Nasal ulcers§ |
Oral ulcers (2) | |
| Non-scarring alopecia | - | Non-scarring alopecia§ | Non-scarring alopecia (2) | |
| Arthritis | Non-erosive arthritis* | Arthritis* | Joint involvement* (6) | |
| Serositis | •Pleuritis* •Pericarditis* |
•Pleuritis* •Pericarditis* |
Pleural or pericardial effusion* (5) | |
| Acute pericarditis* (6) | ||||
| Renal disorder | •Proteinuria* •Cellular casts* |
•Proteinuria* •RBC casts* |
Proteinuria* (4) | |
| Lupus nephritis histology | - | Compatible with lupus nephritis‡ | ISN/RPS III/IV (10) | |
| ISN/RPS II/V (8) | ||||
| Neurologic disorder | Seizures§ Psychosis§ |
•Seizures§ •Psychosis§ •Acute confusional state§ •Mononeuritis multiplex§ •Myelitis •Neuropathy§ |
Seizure (5) | |
| Psychosis (3) | ||||
| Delirium (2) | ||||
| Hematologic disorder | •Hemolytic anemia* •Leukopenia* •Lymphopenia* •Thrombocytopenia*§ |
Hemolytic anemia* | Hemolytic anemia*(4) | |
| •Leukopenia*§ •Lymphopenia*§ |
Leukopenia* (3) - |
|||
| Thrombocytopenia*§ | Thrombocytopenia*(4) | |||
Definitions apply.
Exclusions apply.
Sufficient for classification with positive ANA or anti-dsDNA antibodies.
Concept survives in definitions. ISN/RPS International Society of Nephrology/Renal Pathology Society classes.
The SLICC criteria in this way achieved an unprecedented sensitivity of 94% in the derivation cohort and of 97% in the validation cohort [8]. This impressive sensitivity of 97% for the SLICC criteria was independently confirmed when the EULAR/ACR criteria were tested [9,10].
Moreover, sensitivity was also much improved in early SLE [13,14]. In the international early SLE cohort of the EULAR/ACR project the ACR criteria had a sensitivity of 66% only, which was improved to 84% in the SLICC criteria [15]. Similarly, a subanalysis of the EULAR/ACR criteria validation cohort showed a sensitivity of 56% in the first year of disease for the ACR criteria, and a much higher sensitivity of 89% for the SLICC criteria [17].
The EULAR/ACR criteria had the defined goal of also improving sensitivity versus the ACR criteria, with the provision to get close to SLICC criteria sensitivity, if possible [18]. With a sensitivity of 96%, vs. 97% for the SLICC criteria, with overlapping confidence intervals, as compared to 83% for the ACR criteria, this goal was reached [9,10]. Similarly, in the first year, the EULAR/ACR criteria reached 89% sensitivity, close to the SLICC criteria [17]. Analyzed in the SLICC case scenarios, the EULAR/ACR criteria had a sensitivity of 91% (95% CI 88%-94%) compared to 97% (95% CI 96%-99%) for the SLICC criteria [19] and 83% (95% CI 79%-87%) for the 1997 ACR criteria [8].
Specificity
While specificity is of lesser importance in diagnosis, which can always be revised in case the later course points to a differential diagnosis, patients can usually not post hoc be removed from a clinical trial or even a translational study. For classification, therefore, specificity is important. In the derivation sample, the SLICC criteria had a high specificity of 92%, as compared to 93% for the ACR 1997 criteria [8]. In the validation sample, however, specificity unfortunately dropped to 84%, while ACR criteria specificity was 96%. This decrease in specificity concomitant with the increase in sensitivity was confirmed in several other analyses [13,14,20,21]. The SLICC criteria still increased the sum of sensitivity and specificity from 1.79 to 1.81 in the SLICC [8] and from 1.76 to 1.80 in the EULAR/ACR validation cohorts [9,10], showing improved performance. When applied to the SLICC case scenarios, the EULAR/ACR criteria had a specificity of 89% and an overall agreement of 90% compared to the SLICC criteria with a specificity of 84% and an overall agreement of 91% [19].
The EULAR/ACR criteria project defined increasing specificity to the high level of the revised ACR criteria, while still increasing sensitivity, as the main statistical goal [18]. Throughout the EULAR/ACR classification criteria project, decisions in doubt were made in favor of specificity, even if they threatened to reduce sensitivity. This approach was successful [9,10], with the specificity of the revised ACR criteria reached in the derivation cohort (96% vs 95%) and in the validation cohort (93% vs 93%). This was due to several steps taken. From the first draft proposal, one step accordingly was to take ANA out of the specific criteria items and to reposition the ANA test to an entry criterion [18], as discussed later. Lymphopenia, another lower specificity item, was eliminated by the external experts in the nominal group technique (NGT) exercise [22]. Defining domains, within which only the highest-ranking item was counted [23–25], was another step towards higher specificity.
Less obvious, a strategic decision had significant impact on the specificity of the criteria. Most features of SLE are mimicked by other conditions. The ACR criteria system had therefore already defined exclusion criteria for seizures, psychosis and thrombocytopenia [1]. The SLICC criteria defined exclusions for a total of 10 items [8]. Even this list of exclusions was not complete. Instead of a list, for the EULAR/ACR criteria, one attribution rule that limits the items taken into account for SLE to those not more likely explained by another condition [24,25] replaces individual exclusions. This is in line with what clinicians do in their daily routine. It may, however, need more experience and can cause problems when calculating EULAR/ACR classification criteria performance from older databases that do not contain such information. Basically though, researchers should never count a classification criterion as “SLE” if they know it is due to another condition.
One relevant example is lupus arthritis. By defining it as non-erosive arthritis [1], the revised ACR criteria in fact tried to exclude rheumatoid (and psoriatic) arthritis. This became more disputed over time, when novel imaging technique showed lupus arthritis to be more commonly (somewhat) erosive than previously thought [26,27]. Moreover, rheumatoid arthritis lupus overlap disease, termed “rhupus” [28,29], was recognized as an issue for classification. The SLICC criteria accordingly did not include any exclusionary criteria for lupus arthritis [8]. The EULAR/ACR criteria attribution rule, in contrast, will exclude arthritis that is more likely rheumatoid arthritis, such as in anti-CCP positive individuals (although anti-CCP antibodies can occur in SLE [30]), or due to other conditions.. Classification as rheumatoid arthritis SLE overlap disease is still possible, provided the other SLE criteria items reach the classification threshold. This approach greatly increased lupus arthritis specificity.
The importance of Immunology
SLE by nature is a systemic autoimmune disease [31,32]. For classification criteria (or diagnosis, for that matter), SLE without findings in the autoimmune serology therefore is a potentially dangerous construct. This was also underlined by the phase II belimumab trials that found success in serologically active SLE patients only [33]. Accordingly, the SLICC criteria for SLE classification demand at least one of six immunological criteria [8], as listed in Table 1. Moreover, a histology compatible with lupus nephritis is sufficient for classification only if accompanied by positive ANA or anti-dsDNA-antibodies.
In the EULAR/ACR criteria this principle is taken one step further in making positive ANA an obligatory entry criterion [9,10,18]. Antibodies to nuclear acids and their binding proteins are a hallmark of SLE, and all these usually lead to positive ANA [34,35]. Accordingly, ANA have very high sensitivity for SLE, but limited specificity, given their occurrence in other connective tissue diseases, all sorts of autoimmune disease, and even in healthy individuals. Behaving differently from all other items made ANA less suitable as a specific item, but omitting it would have deprived the criteria of an important concept.
While ANA as an obligatory entry criterion makes classification impossible for any SLE patient who never had positive ANA, this decision is based on data showing that truly and persistently ANA-negative SLE is an uncommon situation [36]. Missing this small subset of patients would still be a problem for diagnosis, but not so much for classification. To limit a negative impact, in addition to complying with the old principle that criteria items are counted also historically and with no need to occur simultaneously, a low titer of ≥1:80 was chosen from the systematic literature search and meta-regression analysis [18] and alternative test systems are accepted [9,10]. However, ANA-negative SLE definitely exists, reaching 6.2% in the SLICC inception cohort [37], and was also reported in biopsy proven lupus nephritis [38], which might exclude a lupus nephritis subset from clinical trials.
In sharp contrast to ANA, antibodies to the Smith antigen (Sm) and to dsDNA are highly specific, if less sensitive. These two antibodies have remained in place from the revised ACR criteria [1,8]. For the EULAR/ACR criteria, an increasing range of less specific anti-dsDNA tests made it necessary to define anti-dsDNA test specificity at ≥90% compared to appropriate disease controls [9,10]. In SLICC, this was accomplished by higher cut-offs for ELISA assays [8].
New items and improved definitions
All three SLE criteria sets [1,8–10] demand at least one clinical criterion for classification, to make sure a disease is classified. For the SLICC criteria, great care was taken to fully depict clinical progress in SLE. This led to a variety of important additions [8], in particular among the mucocutaneous and neuropsychiatric manifestations and, by the inclusion of nephritis by histology, for renal involvement (Table 2). Likewise, the immunological items were amended, particularly including decreased complement levels and positive anti-β2-gylycoprotein-I antibodies, but also a positive Coombs test without hemolysis.
The work of the SLICC group was so thorough in this regard that the EULAR/ACR expert Delphi exercise [39] led to no new items. The one single additional item, non-infectious fever, emerged from both the early SLE cohort study [15] and the patient survey [40], and was then defined as >38.3°C [24]. Importantly, infections need to be excluded, as per the above-mentioned attribution rule, but even more critically in SLE patient management [41,42].
All of the three criteria systems put significant effort into appropriately defining criteria items. Psychosis in the ACR criteria subsumes two concepts today, namely psychosis and “acute confusional state“ or “delirium” per SLICC and EULAR/ACR definitions, respectively. While the ACR and the SLICC criteria definitions were developed within the project, the EULAR/ACR criteria tended to use existing definitions from other fields [24].
In hematology, SLICC definitions importantly changed views as compared to the ACR criteria. The ACR criteria had defined leukopenia and lymphopenia as values twice <4,000 and <1,500/mm3, respectively [1]. This was investigated in the SLICC criteria approach, leading to leukopenia <4,000/mm3 and lymphopenia <1,000/mm3 at least once [8]. While lymphopenia is not part of the EULAR/ACR criteria, the superior performance of the SLICC leukopenia definition was confirmed in the EULAR/ACR criteria derivation cohort [4, 5]. Similarly, the SLICC definition of synovitis as swelling/effusion or tenderness and morning stiffness in at least two joints was superior to frank synovitis [9,10], in line with our current understanding of lupus arthritis [43].
In some cases, more differentiation within the EULAR/ACR criteria was a direct consequence of the strategic decision to give all criteria individual weights. Slightly different weights led to a difference between “low C3 or C4” and “low C3 and C4”, between “pleural or pericardial effusion” and “acute pericarditis” and between International Society of Nephrology/Renal Pathology Society (ISN/RPS)[44] “class II or V” and “class III or IV” nephritis, each splitting a SLICC item into two EULAR/ACR items.
Accuracy versus simplicity
Feasibility is an important issue for classification criteria. The easier to memorize, the faster new criteria will influence the field. In this regard, the relative simplicity of the any four in eleven items principle of the revised ACR criteria set a high mark, even if it was in fact a total of 20 for the 1982 [1], and 21 for the 1997 criteria [2].
The counterweight is scientific accuracy. This can be found in two flavors in this century’s SLE criteria set. The SLICC criteria amended the list of items considerably to 42 positions in 17 criteria, and added exclusions to 10 of these items [8]. On the other hand, the simple ACR structure was kept, adding only the necessity of an immunological item to the now four in 17 criteria and the additional provision of lupus nephritis by histology mentioned above.
The EULAR/ACR criteria in contrast changed the overall structure, specifically giving individual weights to each item [4, 5], derived from a multi-criteria decision analysis [25] and depicted in Tables 1 and 2. While this could allow classification based on only two criteria (e.g. lupus arthritis and positive anti-dsDNA antibodies for example) in the presence of positive ANA, it also made the criteria system more complicated. Accordingly, the list of items had to be reduced (Tables 1 and 2). In addition, the attribution rule eliminated the necessity for exclusions.
Conclusions
Serving as scientific tools and as blueprints for better studying SLE, SLE classification criteria have evolved from the 1982 and 1997 revised ACR criteria to the SLICC and, most recently, EULAR/ACR 2019 criteria. Each built on the previous sets by adding new information, trying to maintain feasibility at the same time. The EULAR/ACR criteria have excellent statistical performance for classification. The excellent sensitivity of the SLICC criteria and broad representation of SLE symptoms remain clinically important.
Acknowledgments
Financial support: Dr. Petri was supported by NIH RO-1 grant AR069572.
References
- 1.Tan EM, Cohen AS, Fries JF, Masi AT, McShane DJ, Rothfield NF et al. The 1982 revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum 1982; 25: 1271–1277. [DOI] [PubMed] [Google Scholar]
- 2.Hochberg MC. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum 1997; 40: 1725. [DOI] [PubMed] [Google Scholar]
- 3.Mosca M, Tani C, Aringer M, Bombardieri S, Boumpas D, Brey R et al. European League Against Rheumatism recommendations for monitoring patients with systemic lupus erythematosus in clinical practice and in observational studies. Ann Rheum Dis 2010; 69: 1269–1274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gladman DD, Ibanez D, Urowitz MB. Systemic lupus erythematosus disease activity index 2000. J Rheumatol 2002; 29: 288–291. [PubMed] [Google Scholar]
- 5.Vitali C, Bencivelli W, Isenberg DA, Smolen JS, Snaith ML, Sciuto M et al. Disease activity in systemic lupus erythematosus: report of the Consensus Study Group of the European Workshop for Rheumatology Research. I. A descriptive analysis of 704 European lupus patients. European Consensus Study Group for Disease Activity in SLE. Clin Exp Rheumatol 1992; 10: 527–539. [PubMed] [Google Scholar]
- 6.Bertsias GK, Tektonidou M, Amoura Z, Aringer M, Bajema I, Berden JH et al. Joint European League Against Rheumatism and European Renal Association-European Dialysis and Transplant Association (EULAR/ERA-EDTA) recommendations for the management of adult and paediatric lupus nephritis. Ann Rheum Dis 2012; 71:1771–1782. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Fanouriakis A, Kostopoulou M, Cheema K, Anders HJ, Aringer M, Bajema I et al. 2019 Update of the Joint European League Against Rheumatism and European Renal Association-European Dialysis and Transplant Association (EULAR/ERA-EDTA) recommendations for the management of lupus nephritis. Ann Rheum Dis 2020; 79: 713–723. [DOI] [PubMed] [Google Scholar]
- 8.Petri M, Orbai AM, Alarcon GS, Gordon C, Merrill JT, Fortin PR et al. Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus. Arthritis Rheum 2012; 64: 2677–2686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Aringer M, Costenbader K, Daikh D, Brinks R, Mosca M, Ramsey-Goldman R et al. 2019 European League Against Rheumatism/American College of Rheumatology classification criteria for systemic lupus erythematosus. Ann Rheum Dis 2019; 78: 1151–1159. [DOI] [PubMed] [Google Scholar]; * Published simultaneously, in the Annals of the Rheumatic DIseses and in Arthritis & Rheumatology, this is the main publication of the new EULAR/ACR 2019 criteria.
- 10.Aringer M, Costenbader K, Daikh D, Brinks R, Mosca M, Ramsey-Goldman R et al. 2019 European League Against Rheumatism/American College of Rheumatology Classification Criteria for Systemic Lupus Erythematosus. Arthritis Rheumatol 2019; 71: 1400–1412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Aggarwal R, Ringold S, Khanna D, Neogi T, Johnson SR, Miller A et al. Distinctions between diagnostic and classification criteria? Arthritis Care Res (Hoboken) 2015; 67: 891–897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Johnson SR, Goek ON, Singh-Grewal D, Vlad SC, Feldman BM, Felson DT et al. Classification criteria in rheumatic diseases: a review of methodologic properties. Arthritis Rheum 2007; 57: 1119–1133. [DOI] [PubMed] [Google Scholar]
- 13.Ighe A, Dahlstrom O, Skogh T, Sjowall C. Application of the 2012 Systemic Lupus International Collaborating Clinics classification criteria to patients in a regional Swedish systemic lupus erythematosus register. Arthritis Res Ther 2015; 17:3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ines L, Silva C, Galindo M, Lopez-Longo FJ, Terroso G, Romao VC et al. Classification of Systemic Lupus Erythematosus: Systemic Lupus International Collaborating Clinics Versus American College of Rheumatology Criteria. A Comparative Study of 2,055 Patients From a Real-Life, International Systemic Lupus Erythematosus Cohort. Arthritis Care Res (Hoboken) 2015; 67: 1180–1185. [DOI] [PubMed] [Google Scholar]
- 15.Mosca M, Costenbader KH, Johnson SR, Lorenzoni V, Sebastiani GD, Hoyer BF et al. Brief Report: How Do Patients With Newly Diagnosed Systemic Lupus Erythematosus Present? A Multicenter Cohort of Early Systemic Lupus Erythematosus to Inform the Development of New Classification Criteria. Arthritis Rheumatol 2019; 71: 91–98. [DOI] [PubMed] [Google Scholar]; * International early SLE cohort study that pointed out fever as a sign of early SLE .
- 16.Bertsias GK, Pamfil C, Fanouriakis A, Boumpas DT. Diagnostic criteria for systemic lupus erythematosus: has the time come? Nat Rev Rheumatol 2013; 9: 687–694. [DOI] [PubMed] [Google Scholar]
- 17.Johnson SR, Brinks R, Costenbader KH, Daikh D, Mosca M, Ramsey-Goldman R et al. Performance of the EULAR/ACR 2019 classification criteria for systemic lupus erythematosus in early disease, across sexes and ethnicities . Ann Rheum Dis 2020; in press. [DOI] [PubMed] [Google Scholar]; * Study showing performance of the new EULAR/ACR criteria in subsets and in early SLE.
- 18.Aringer M, Dorner T, Leuchten N, Johnson SR. Toward new criteria for systemic lupus erythematosus-a standpoint. Lupus 2016; 25: 805–811. [DOI] [PubMed] [Google Scholar]
- 19.Petri M, Goldman DW, Alarcón GS, Gordon C, Merrill J, Fortin PR et al. A comparison of 2019 EULAR/ACR SLE classification criteria with two sets of earlier SLE classification criteria. Arthritis Care Res 2020; in press. [DOI] [PMC free article] [PubMed] [Google Scholar]; * SLICC study that investigates the EULAR/ACR criteria in the SLICC validation data set.
- 20.Fonseca AR, Gaspar-Elsas MI, Land MG, de Oliveira SK. Comparison between three systems of classification criteria in juvenile systemic lupus erythematous. Rheumatology (Oxford) 2015; 54: 241–247. [DOI] [PubMed] [Google Scholar]
- 21.Sag E, Tartaglione A, Batu ED, Ravelli A, Khalil SM, Marks SD et al. Performance of the new SLICC classification criteria in childhood systemic lupus erythematosus: a multicentre study. Clin Exp Rheumatol 2014; 32: 440–444. [PubMed] [Google Scholar]
- 22.Johnson SR, Khanna D, Daikh D, Cervera R, Costedoat-Chalumeau N, Gladman DD et al. Use of Consensus Methodology to Determine Candidate Items for Systemic Lupus Erythematosus Classification Criteria. J Rheumatol 2019; 46: 721–726. [DOI] [PubMed] [Google Scholar]
- 23.Touma Z, Cervera R, Brinks R, Lorenzoni V, Tani C, Hoyer BF et al. Associations among classification criteria items within systemic lupus erythematosus. Arthritis Care Res (Hoboken ) 2019; Sep 27 Epub. doi: 10.1002/acr.24078. [DOI] [PubMed] [Google Scholar]; * Association study that demonstrated associations within SLE organ domains
- 24.Tedeschi SK, Johnson SR, Boumpas D, Daikh D, Dorner T, Jayne D et al. Developing and Refining New Candidate Criteria for Systemic Lupus Erythematosus Classification: An International Collaboration. Arthritis Care Res (Hoboken ) 2018; 70: 571–581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Tedeschi SK, Johnson SR, Boumpas DT, Daikh D, Dorner T, Diamond B et al. Multicriteria decision analysis process to develop new classification criteria for systemic lupus erythematosus. Ann Rheum Dis 2019; 78: 634–640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Ball EM, Bell AL. Lupus arthritis--do we have a clinically useful classification? Rheumatology (Oxford) 2012; 51: 771–779. [DOI] [PubMed] [Google Scholar]
- 27.Grossman JM. Lupus arthritis. Best Pract Res Clin Rheumatol 2009; 23: 495–506. [DOI] [PubMed] [Google Scholar]
- 28.Tani C, D’Aniello D, Delle SA, Carli L, Cagnoni M, Possemato N et al. Rhupus syndrome: assessment of its prevalence and its clinical and instrumental characteristics in a prospective cohort of 103 SLE patients. Autoimmun Rev 2013; 12: 537–541. [DOI] [PubMed] [Google Scholar]
- 29.Fernandez A, Quintana G, Matteson EL, Restrepo JF, Rondon F, Sanchez A et al. Lupus arthropathy: historical evolution from deforming arthritis to rhupus. Clin Rheumatol 2004; 23: 523–526.. [DOI] [PubMed] [Google Scholar]
- 30.Ziegelasch M, van Delft MA, Wallin P, Skogh T, Magro-Checa C, Steup-Beekman GM et al. Antibodies against carbamylated proteins and cyclic citrullinated peptides in systemic lupus erythematosus: results from two well-defined European cohorts. Arthritis Res Ther 2016; 18: 289. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Rahman A, Isenberg DA. Systemic lupus erythematosus. N Engl J Med 2008; 358: 929–939. [DOI] [PubMed] [Google Scholar]
- 32.Tsokos GC. Systemic lupus erythematosus. N Engl J Med 2011; 365: 2110–2121. [DOI] [PubMed] [Google Scholar]
- 33.Wallace DJ, Stohl W, Furie RA, Lisse JR, McKay JD, Merrill JT et al. A phase II, randomized, double-blind, placebo-controlled, dose-ranging study of belimumab in patients with active systemic lupus erythematosus. Arthritis Rheum 2009; 61: 1168–1178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Agmon-Levin N, Damoiseaux J, Kallenberg C, Sack U, Witte T, Herold M et al. International recommendations for the assessment of autoantibodies to cellular antigens referred to as anti-nuclear antibodies. Ann Rheum Dis 2014; 73: 17–23.24126457 [Google Scholar]
- 35.Pisetsky DS. Antinuclear antibodies in rheumatic disease: a proposal for a function-based classification. Scand J Immunol 2012; 76: 223–228. [DOI] [PubMed] [Google Scholar]
- 36.Leuchten N, Hoyer A, Brinks R, Schoels M, Schneider M, Smolen J et al. Performance of Antinuclear Antibodies for Classifying Systemic Lupus Erythematosus: A Systematic Literature Review and Meta-Regression of Diagnostic Data. Arthritis Care Res (Hoboken ) 2018; 70: 428–438. [DOI] [PubMed] [Google Scholar]
- 37.Choi MY, Clarke AE, St PY, Hanly JG, Urowitz MB, Romero-Diaz J et al. Antinuclear Antibody-Negative Systemic Lupus Erythematosus in an International Inception Cohort. Arthritis Care Res (Hoboken ) 2019; 71: 893–902. [DOI] [PMC free article] [PubMed] [Google Scholar]; * SLICC study investigating ANA negative SLE in the SLICC inception cohort.
- 38.Simmons SC, Smith ML, Chang-Miller A, Keddis MT. Antinuclear Antibody-Negative Lupus Nephritis with Full House Nephropathy: A Case Report and Review of the Literature. Am J Nephrol 2015; 42: 451–459. [DOI] [PubMed] [Google Scholar]
- 39.Schmajuk G, Hoyer BF, Aringer M, Johnson SR, Daikh DI, Dorner T. Multicenter Delphi Exercise to Identify Important Key Items for Classifying Systemic Lupus Erythematosus. Arthritis Care Res (Hoboken ) 2018; 70: 1488–1494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Leuchten N, Milke B, Winkler-Rohlfing B, Daikh D, Dorner T, Johnson SR et al. Early symptoms of systemic lupus erythematosus (SLE) recalled by 339 SLE patients. Lupus 2018; 27: 1431–1436. [DOI] [PubMed] [Google Scholar]
- 41.Littlejohn E, Marder W, Lewis E, Francis S, Jackish J, McCune WJ et al. The ratio of erythrocyte sedimentation rate to C-reactive protein is useful in distinguishing infection from flare in systemic lupus erythematosus patients presenting with fever. Lupus 2018; 27: 1123–1129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Zhou WJ, Yang CD. The causes and clinical significance of fever in systemic lupus erythematosus: a retrospective study of 487 hospitalised patients. Lupus 2009; 18: 807–812. [DOI] [PubMed] [Google Scholar]
- 43.Mahmoud K, Zayat A, Vital EM. Musculoskeletal manifestations of systemic lupus erythmatosus. Curr Opin Rheumatol 2017; 29: 486–492. [DOI] [PubMed] [Google Scholar]
- 44.Weening JJ, D’Agati VD, Schwartz MM, Seshan SV, Alpers CE, Appel GB et al. The classification of glomerulonephritis in systemic lupus erythematosus revisited. Kidney Int 2004; 65: 521–530. [DOI] [PubMed] [Google Scholar]
