Abstract
Objectives
We aimed to define candidate criteria within multi-phase development of SLE classification criteria, jointly supported by EULAR and ACR. Prior steps included item generation and reduction by Delphi exercise, further narrowed to 21 items in a Nominal Group Technique exercise. Our objectives were to apply an evidence-based approach to the 21 candidate criteria, and to develop hierarchical organization of criteria within domains.
Methods
A literature review identified the sensitivity and specificity of the 21 candidate criteria. Data on the performance of ANA as an entry criteria and operating characteristics of the candidate criteria in early SLE patients were evaluated. Candidate criteria were hierarchically organized into clinical and immunologic domains, and definitions were refined in an iterative process.
Results
Based on the data, consensus was reached on a positive ANA of ≥1:80 titer (HEp2 cells immunofluorescence) as an entry criterion; use of seven clinical and three immunologic domains, with hierarchical organization of criteria within domains; and definitions of the candidate criteria were specified.
Conclusion
Using a data-driven process, consensus was reached on new, refined criteria definitions and organization based on operating characteristics. This work will be followed by a multicriteria decision analysis exercise to weight criteria and to identify a threshold score for classification on a continuous probability scale.
Keywords: systemic lupus erythematosus, classification criteria, methodology
INTRODUCTION
The 1982 American College of Rheumatology (ACR) classification criteria for SLE and their 1997 revision have shaped our understanding of SLE and been used widely in lupus research for decades. However, novel information on the disease has emerged, such as the recognition of subacute cutaneous lupus erythematosus (SCLE) as an SLE manifestation, and the Systemic Lupus International Collaborating Clinics (SLICC) group showed that their sensitivity is suboptimal. On the other hand, while introducing important new concepts, the SLICC 2012 criteria have only partially succeeded in better performance, in that they had increased sensitivity at the price of reduced specificity. It appears likely that this decrease in specificity is due to maintaining the overall structure of the ACR criteria, which assigns equal weights to each criterion. While SLICC criteria require the presence of at least one clinical and one immunologic criterion, both the ACR and SLICC criteria classify SLE based a simple count of the number of criteria present. Due to the heterogeneity of SLE—ranging from mild to severe symptoms with a variety of organ manifestations—the overall performance of SLE classification criteria could be further increased by developing a weighted scoring system. This is particularly true for early phases of the disease, where both ACR and SLICC criteria perform worse than in established SLE.
Since 2014, a Steering Committee equally appointed by the European League Against Rheumatism (EULAR) and the ACR (n=12) has been working on developing new classification criteria for systemic lupus erythematosus (SLE) for clinical research purposes. This effort involves hundreds of SLE experts worldwide. The overarching goal is to develop a system to identify potential participants for clinical research studies, which requires some degree of homogeneity across subjects, while simultaneously dealing with the extreme heterogeneity of SLE. As with previously established classification criteria, the goal is to arrive at a system with the maximum combination of sensitivity and specificity for SLE, retaining face validity.1
In accordance with recommendations for rheumatic disease classification criteria development, a four phase, data-driven and expert-based methodologic approach is underway.1–9 The item generation and reduction phases of this approach were completed by a Nominal Group Technique exercise8 that produced 21 candidate criteria—two of which were proposed as candidate entry criteria—summarized in Table 1.
Table 1.
Evolution of candidate SLE classification criteria in a multi-phase development process
Nominal Group Technique (2015) | Literature Review and Iterative Revisions (through October 2016) |
---|---|
Entry criteria | |
| |
ANA by HEp 2 immunofluorescence ≥1:80 | History of a positive ANA by HEp 2 immunofluorescence ≥1:80 |
| |
Low C3 and/or low C4 | [Not an entry criterion, but included as a domain] |
| |
Criteria | |
| |
Candidate additive criteria, listed in no particular order | Criteria were grouped into domains. Items within domains were listed in order of increasing importance. The following Opening Statements were agreed upon:
|
| |
Clinical Domains and Criteria | |
| |
Fever (definition to be determined) |
Constitutional domain:
|
| |
Rash with dermoepidermal interface changes and immunoglobulin and/or complement deposition on immunofluorescence |
Cutaneous domain:
|
Alopecia with associated scalp inflammation | |
Oral mucosal lesions on the hard palate | |
Acute cutaneous lupus: SLICC definition | |
Chronic cutaneous: SLICC definition | |
| |
Arthritis: inflammatory arthritis with tenderness or swelling |
Arthritis domain:
|
| |
CNS manifestations (seizures, psychosis, chorea, myelitis, optic neuritis, stroke or acute confusional state) |
Neurologic domain:
|
[Eliminated chorea, myelitis, stroke; added mononeuropathy; broadened optic neuritis to cranial neuropathy; term “acute confusional state” changed to “delirium” per ACR 1999 nomenclature27] | |
| |
Serositis (pleural or pericardial effusion) pleurisy, pericarditis, abdominal serositis |
Serositis domain:
|
[Eliminated pleurisy, abdominal serositis] | |
| |
Leukopenia (<4000/mm3 on 2 or more occasions) |
Hematologic domain:
|
Thrombocytopenia < 100,000 on 2 or more occasions | |
Autoimmune hemolytic anemia | |
[Only need to occur once] | |
| |
Lupus nephritis by renal biopsy with immune deposits |
Renal domain:
|
Persistent proteinuria (>0.5g/day) | |
Active urine sediment (without UTI) | |
[Eliminated active urine sediment] | |
| |
Immunologic Domains and Criteria | |
| |
Antiphospholipid antibodies (LA, anticardiolipin, anti-B2GPI, or prolonged RVVT) |
Antiphospholipid antibodies domain:
|
[Eliminated DRVVT] | |
| |
[See Entry Criteria above] |
Complement protein domain:
|
| |
Anti-dsDNA antibody |
Highly specific antibodies domain:
|
Anti-Smith antibody | |
| |
Presence of multiple autoantibodies | [Eliminated] |
| |
Significant changes between the two phases are summarized in brackets |
Typical skin biopsy histopathology24
acute cutaneous lupus: interface vaculolar dermatitis consisting of a peri-vascular lymphohistiocytic infiltrate, often with dermal mucin noted. Peri-vascular neutrophilic infiltrate may be present early in the course.
subacute cutaneous lupus: interface vaculolar dermatitis consisting of a peri-vascular lymphohistiocytic infiltrate, often with dermal mucin noted
discoid lupus: interface vacuolar dermatitis consisting of a peri-vascular and/or peri-appendageal lymphohistiocytic infiltrate. In the scalp, follicular keratin plugs may be seen. In longstanding lesions, mucin deposition and basement membrane thickening may be noted.
ISN/RPS definitions29
Class II: Mesangial proliferative lupus nephritis: Purely mesangial hypercellularity of any degree or mesangial matrix expansion by light microscopy, with mesangial immune deposit. A few isolated subepithelial or subendothelial deposits may be visible by immunofluorescence or electron microscopy, but not by light microscopy.
Class III: Focal lupus nephritis: Active or inactive focal, segmental or global endo- or extracapillary glomerulonephritis involving <50% of all glomeruli, typically with focal subendothelial immune deposits, with or without mesangial alterations.
Class IV: Diffuse lupus nephritis: Active or inactive diffuse, segmental or global endo- or extracapillary glomerulonephritis involving ≥50% of all glomeruli, typically with diffuse subendothelial immune deposits, with or without mesangial alterations. This class includes cases with diffuse wire loop deposits but with little or no glomerular proliferation.
Class V: Membranous lupus nephritis: Global or segmental subepithelial immune deposits or their morphologic sequelae by light microscopy and by immunofluorescence or electron microscopy, with or without mesangial alterations
Class VI: Advanced sclerotic lupus nephritis: ≥90% of glomeruli globally sclerosed without residual activity
Three important issues were raised during the Nominal Group Technique exercise. First, it was important to understand the validity of each of the candidate criteria, particularly their sensitivity and specificity.5 Second, a lack of precise definitions for the candidate criteria would result in inconsistent interpretation and application of the criteria, affecting the validity and reliability of the final classification system. Finally, clustering the criteria into ‘buckets’ or domains was recommended as a next step.
We report the process of refining the criteria for SLE classification. The goals were to apply an evidence-based approach to the 21 candidate criteria, and to develop hierarchical organization of criteria within domains.
METHODS
Literature review for test performance characteristics of candidate criteria
Two investigators (KHC, SKT) conducted a literature review on sensitivity and specificity of the candidate SLE criteria using PubMed. This step was foundational for subsequent steps, as sensitivity and specificity are among the most important aspects to consider when developing classification criteria.3, 10 Several manuscripts have reported the prevalence of specific manifestations in SLE cohorts, but for the purposes of classification criteria development, it was important to evaluate both sensitivity and specificity in the same dataset. In the evaluative process, the following principles were considered:
Sensitivity for SLE represents prevalence of a criterion in a given SLE population. Thus, the SLE population being studied affects the sensitivity.
Specificity for SLE is contingent upon the comparator (non-SLE) population. For example, specificity of oral ulcers for SLE is the ratio of comparator patients without oral ulcers to the entire comparator population. Using a comparator population of Crohn’s disease patients, who may develop oral ulcers as part of their disease, will produce different specificity than using a comparator population of rheumatoid arthritis patients among whom oral ulcers are uncommon.
Identification of domains
After reviewing the literature, the candidate criteria were clustered into independent domains. This was an iterative process, with input from the Steering Committee. Based on the development of published criteria sets11–14 and consultation with an expert in additive point systems for disease classification (RPN), the following principles for domain development were proposed:
Classification criteria should be organized into 8–10 domains, each containing 2–3 criteria;
Domains should be independent from one another, and therefore additive;
Within a domain, criteria should be ordered from least to most influential (i.e. least specific to most specific) regarding their importance when considering the likelihood of a patient being classified as having the disease;
Only the one most influential criterion in each domain will be scored;
Scores from all domains will be summed to produce a final SLE classification score.
In-person meeting at the EULAR 2016 Congress
During a one-day meeting, the literature review and a draft hierarchical organization of criteria within domains were presented to the Steering Committee and two patient representatives from Lupus Europe for feedback and comment. Challenges with drawing generalizable conclusions from the literature review, such as the use of different comparator populations for sensitivity and specificity calculations, and definitions used in past criteria were discussed. Definitions and the order within domains were further refined. The reliability (i.e. reproducibility between clinicians and within individual clinicians) of the candidate clinical criteria was discussed. The precision and availability of candidate immunologic assays were discussed.
Assessment of face and content validity of domains and criteria
Following the in-person meeting, the domains and criteria were further refined through an iterative process. Changes to the number and content of domains, and criteria within domains, were made in response to feedback given during the discussions. The guiding principles were that criteria should be sensitive for SLE (i.e. prevalent in SLE cohorts), criteria should be arranged in order of increasing specificity for SLE, and domains must be independent. Additionally, candidate criteria were assessed for creditability (face validity) and comprehensiveness (content validity) to reflect all aspects of SLE.3, 5
RESULTS
Literature review and performance characteristics of candidate criteria
The sources of sensitivity and specificity data were: American Rheumatism Association (ARA) 1971 preliminary SLE classification criteria,15 ACR 1982 revised criteria for the classification of SLE and the 1997 update of these criteria,16, 17 Systemic Lupus International Collaborating Clinics (SLICC) 2012 classification criteria for SLE,18 data from a recent, early SLE (diagnosed in the preceding 12 months) cohort study,19 and a recent, large study of test characteristics of low complements in new-onset SLE.20 These study populations are summarized in Table 2. Sensitivity and specificity data for the candidate criteria are summarized in Table 3. When present, published definitions were reviewed.
Table 2.
Patient populations in studies reporting sensitivity and specificity of candidate SLE classification criteria
Study | Patient populations | ||
---|---|---|---|
SLE (n) | Non-SLE (n) | Medical conditions (n) in non-SLE group | |
ARA 1971 preliminary SLE classification criteria15 | 245 | 451 | RA (234), non-rheumatic diseases (217) |
ACR 1982 revised criteria for the classification of SLE16* | 177 | 162 | RA (95), scleroderma (16), juvenile onset arthritis (7), dermatomyositis (6); <5 of each of the following: ankylosing spondylitis, psoriatic arthritis, Reiter’s syndrome, osteoarthritis, mixed connective tissue disease, diagnosis not specified, Sjögren’ssyndrome, polyarthritis, Behcet’s syndrome, hyperlipidemia, reflex sympathetic dystrophy, Wegener’s granulomatosus, vasculitis, regional enteritis, discoid lupus, undifferentiated connective tissue disease, chronic active hepatitis, multicentric reticulohistiocytosis |
SLICC 2012 criteria for classification of SLE18 | 310+ | 392+ | RA (119), myositis (55), chronic cutaneous lupus (50), undifferentiated connective tissue disease (44), vasculitis (37), primary antiphospholipid syndrome (33), scleroderma (28), fibromyalgia (25), Sjögren’ssyndrome (15), rosacea (8), psoriasis (7), sarcoidosis (1), juvenile idiopathic arthritis (1) |
Early SLE cohort study19 | 389 | 227 | Undifferentiated connective tissue disease (136), Sjögren’s syndrome (22), RA (13), scleroderma (10), fibromyalgia (10), primary Raynaud’s (10), mixed connective tissue disease (9), thyroiditis (8), hematologic disease (5), infection (4), autoimmune hepatitis (1), other (20) |
Study of low complements in new-onset SLE20 | 158# | 2,294 | “Other” diseases including malignancy, infection, cardiovascular disease, neuropathy (1,048), non-SLE rheumatic disease including connective tissue disease, primary vasculitis, spondyloarthritis, metabolic joint disease (622), hematologic disease including leukemia, myelodysplastic syndromes, lymphoma, chronic myeloproliferative disorders, non-autoimmune anemia, thrombocytopenia, leukopenia (366), nephropathy including proteinuria, hematuria, renal insufficiency (258) |
Abbreviations: ARA, American Rheumatism Association. ACR, American College of Rheumatology. SLICC, Systemic Lupus International Collaborating Clinics. RA, rheumatoid arthritis.
The 1997 update did not publish sensitivity/specificity data
Among 716 cases contributed by the investigators, consensus on SLE present vs. absent was reached on 702; among these, SLE was considered present in 310. The distribution of non-SLE diseases presented in this table reflects what was reported among the initial 716 cases.
New-onset SLE with biopsy-proven lupus nephritis with positive ANA or positive anti-dsDNA, or fulfilling ≥4 of 16 SLICC SLE classification criteria excluding low complement
Table 3.
Sensitivity and specificity of candidate SLE classification criteria from a literature review*
Candidate criteria | Sensitivity (%)* | Specificity (%)* | ||||
---|---|---|---|---|---|---|
| ||||||
ACR 198216 | SLICC 201218 | Other | ACR 198216 | SLICC 201218 | Other | |
Fever | Not reported | Not reported | Early SLE cohort19: 34 | Not reported | Not reported | 86 |
| ||||||
Rash with dermoepidermal interface changes and immunoglobulin and/or complement deposition on immunofluorescence | Not reported | Not reported | Not reported | Not reported | ||
| ||||||
Alopecia with associated scalp inflammation | 56a | 32b | ARA 197115: 43c | 88a | 96b | 97c |
| ||||||
Oral mucosal lesions on the hard palate | 27d | 44e | 96d | 92e | ||
| ||||||
Acute cutaneous lupus | 57f, 43g | 65h | 96f, 96g | 80h | ||
| ||||||
Chronic cutaneous lupus | 18i | 20j | 99i | 94j | ||
| ||||||
Inflammatory arthritis with tenderness or swelling | 86k | 79l | 37k | 44l | ||
| ||||||
CNS manifestations, including seizures, psychosis, chorea, myelitis, optic neuritis, stroke, or acute confusional state | 12m, 13n | 5.5o | Early SLE cohort19: seizure 2.8, psychosis 1, stroke 1 | 99m, 99n | 99o | seizure: 100, psychosis 99, stroke 100 |
Early SLE cohort25 chorea 0.4, myelopathy 0.8, cranial neuropathy 0.9p (optic neuritis not reported separately) and 1.838,q, acute confusional state 1.4, mononeuropathy (not a candidate criterion) 1.5 | ||||||
| ||||||
Serositis, including pleural or pericardial effusion, pleurisy, pericarditis, and abdominal serositis | 52r,18s | 35t | 89r, 96s | 97t | ||
| ||||||
Leukopenia (<4000/mm3 on ≥2 occasions) | 46u | 46v | 89u | 95v | ||
| ||||||
Thrombocytopenia (<100,000/mm3 on ≥2 occasions) | 21w | 13.5x | 99w | 98.0x | ||
| ||||||
Autoimmune hemolytic anemia | 18y | 7z | 99y | 99.5z | ||
| ||||||
Lupus nephritis by renal biopsy with immune deposits | 83aa | Not reported | 100aa | Not reported | ||
| ||||||
Persistent proteinuria (>0.5 g/day) | 50bb | 33cc | 94bb | 96cc | ||
| ||||||
Active urine sediment (without urinary tract infection) | 36dd | 33ee | 97dd | 96ee | ||
| ||||||
Antiphospholipid antibodies (lupus anticoagulant, anticardiolipin, anti-B2GP1, or prolonged RVVT) | Not reportedff | 54gg | Not reportedff | 86gg | ||
| ||||||
Complement protein | 64hh, 64ii, 70jj | 59kk | Newly diagnosed SLE20: 6ll, 11mm, 90.5nn, 73oo | 91hh, 65ii, 70jj | 93kk | 90ll, 88.5mm, 69nn, 90oo |
| ||||||
Anti-dsDNA antibody | 67pp | 57qq | 92pp | 96qq | ||
| ||||||
Anti-Smith antibody | 31rr | 26ss | 95rr | 98.7ss | ||
| ||||||
Presence of multiple autoantibodies | Not reported | Not reported | Early SLE cohort19: anti-Ro 25, anti-La 11, anti-RNP 22 | Not reported | Not reported | anti-Ro 77, anti-La 91, anti-RNP 95 |
Definitions of each criterion are specified in footnotes. It is important to note that the definitions used to determine sensitivity and specificity in past studies often differed from the candidate criteria resulting from the Nominal Group Technique exercise.
Abbreviations: SLICC, Systemic Lupus International Collaborating Clinics. ACR, American College of Rheumatology. ARA, American Rheumatism Association.
Non-scarring alopecia
Non-scarring with “diffuse thinning or hair fragility with visible broken hairs” in the absence of other causes
Non-scarring alopecia
Location of oral ulcers was not specified; nasopharyngeal ulcers were included; observation by a physician was required
Oral ulcers occurring on the palate, buccal mucosa, or tongue in the absence of other causes, or nasal ulcers
Malar rash
Photosensitivity
Data reported for “malar rash/photosensitive rash/acute cutaneous lupus”, although the SLICC definition of acute cutaneous lupus was more comprehensive than those three entities and included: malar rash, bullous lupus, toxic epidermal necrolysis variant of SLE, maculopapular lupus rash, and photosensitive lupus rash in the absence of dermatomyositis. Subacute cutaneous lupus was included in this category.
Discoid lupus
Discoid lupus; the SLICC definition of chronic cutaneous lupus was more comprehensive, but sensitivity and specificity were only reported for discoid lupus.
Non-erosive joint disease affecting 2 or more peripheral joints, characterized by tenderness, swelling, or effusion
“Synovitis involving 2 or more joints, characterized by swelling or effusion, or tenderness in 2 or more joints and at least 30 minutes of morning stiffness”
Seizure, in the absence of other causes
Psychosis, in the absence of other causes
“Neurologic” criterion, without distinction between central and peripheral nervous system
After mean follow-up 1.9 years
After mean follow-up 10 years
“Pleurisy”
Pericarditis
“Typical pleurisy for >1 day or pleural effusions or pleural rub”, or “typical pericardial pain (pain with recumbency improved by sitting forward) or pericardial effusion or pericardial rub or pericarditis by electrocardiography” in the absence of other causes
WBC <4000/mm3 on ≥2 occasions
WBC <4000/mm3 at least once, or lymphopenia (<1,000/mm3) at least once in the absence of other known causes
Platelet count <100,000/mm3
Platelet count <100,000/mm3
“Hemolytic anemia – with reticulocytosis”
“Hemolytic anemia”
“Renal biopsy”, without a description of renal histopathology
“Persistent proteinuria greater than 0.5 grams per day, or greater than 3+ if quantitation not performed”
Test characteristics of proteinuria were reported together with the presence of urinary red blood cell casts
“Cellular casts – may be red cell, hemoglobin, granular, tubular, or mixed”
Test characteristics of proteinuria were reported together with the presence of urinary red blood cell casts
Not reported in the 1997 update to the 1982 criteria
Any one of the following: positive lupus anticoagulant; false-positive rapid plasma reagin; medium- or high-titer anticardiolipin (ACL) IgA, IgG, or IgM (titers not defined); positive anti-β2-glycoprotein I (anti-β2GP1) IgA, IgG, or IgM
C3
C4
CH50
Low C3, low C4, or low CH50
Low C3 alone
Low C4 alone
Low C3 or low C4
Both low C3 and low C4
Abnormal titer of “antibody to native DNA”
Above laboratory reference range, or >2-fold the reference range if tested by ELISA
“Presence of antibody to Smith nuclear antigen”
“Presence of antibody to Smith nuclear antigen”
Definitions for candidate criteria
While the complete list of candidate criteria is shown in Table 1, and previous classification criteria definitions are detailed in Table 3, discussions on several items were critical and are therefore presented here in more detail.
Fever
Fever was not included in previous classification criteria. In the early SLE cohort, fever was present in 34% of SLE patients vs. 14% of patients with conditions only mimicking SLE (mimickers).19 Fever of unknown origin is defined as >38.3 Celsius for >3 weeks with no source identified after one week of investigation.21 This definition had not been studied in SLE.
Alopecia with associated scalp inflammation
The ACR 1982 classification criteria omitted alopecia as “it did not perform well in distinguishing SLE from scleroderma and dermato/polymyositis [data not shown].”16 The ARA 1971 SLE classification criteria and SLICC 2012 SLE classification criteria both defined alopecia as non-scarring.
Acute cutaneous lupus
The ACR 1982 criteria included two independent acute cutaneous lupus criteria: malar rash and photosensitivity, while the SLICC 2012 definition included malar rash, bullous lupus, toxic epidermal necrolysis variant of SLE, maculopapular lupus rash, and photosensitive lupus rash in the absence of dermatomyositis.
Subacute cutaneous lupus was observed in 4.6% of a large European cohort,22 and a 1981 dermatology report estimated 10–15% prevalence in SLE.23 We did not find specificity data for subacute cutaneous lupus.
We reviewed skin biopsy histopathology definitions developed through an international Delphi consensus process of relevant stakeholders at the 2013 International Meeting on Cutaneous Lupus Erythematosus.24 Interface vacuolar dermatitis was common to acute cutaneous, subacute cutaneous, and discoid lupus. Immunofluorescence findings were not specifically mentioned.
Chronic cutaneous lupus
The Gilliam 1981 classification of chronic cutaneous lupus erythematosus included discoid lupus, and excluded lupus profundus/panniculitis, chilblain lupus, and lupus tumidus.23 The ACR 1982 criteria included only discoid lupus, whereas the expanded SLICC criteria included: classic discoid rash (localized above the neck, or generalized), hypertrophic (verrucous) lupus, lupus panniculitis (profundus), mucosal lupus, lupus erythematosus tumidus, chilblains lupus, and discoid lupus/lichen planus overlap. Test characteristics of these single entities were not reported.
CNS manifestations
The ACR 1982 classification criteria included a neurologic criterion with two possible manifestations: seizures or psychosis, in the absence of other causes. SLICC included both central nervous system (CNS) and peripheral nervous system (PNS) manifestations. CNS manifestations were: seizures, psychosis, cranial neuropathy, and acute confusional state in the absence of other causes.
Among 1,206 early SLE patients with mean disease duration of 5.4 (standard deviation [SD] 4.2) months at enrollment and mean 1.9 (SD 1.2) years of follow-up, 486 (40.3%) had a neuropsychiatric event, most commonly headache and mood disorder.25 Among these 486 patients, 13–24% of neuropsychiatric events were attributable to SLE depending on the decision rule applied. Another study reported that most SLE CNS manifestations occur in patients with lupus anticoagulant, anti-cardiolipin, or anti-dsDNA antibodies.26 This raised questions about the etiology of CNS events and whether they are predominantly consequences of antiphospholipid syndrome (APS).
In the early SLE cohort, seizures were among the presenting manifestations in 2.8%, psychosis in 1%, and stroke in 1%.19 The definition for each of these diagnoses was not specified. Definitions of neurologic criteria from the ACR 1999 Ad Hoc Committee on Neuropyschiatric Lupus were reviewed and are presented in Table 1 (Neurologic domain).27 Stroke was omitted as it is most commonly a manifestation of long-standing SLE in the context of cerebrovascular risk factors and/or APS. The ACR 1999 publication indicated that “acute confusional state” was synonymous with “delirium”; the latter term was adopted due to clinical familiarity.
Serositis
In ACR 1982 criteria, serositis included “pleuritis,” characterized by a convincing history of pleuritic pain or a pleuritic rub heard by a physician or evidence of pleural effusion, or “pericarditis” documented by EKG or rub or evidence of pericardial effusion.16 SLICC defined serositis as “typical pleurisy for >1 day or pleural effusions or pleural rub”, or “typical pericardial pain (pain with recumbency improved by sitting forward) or pericardial effusion or pericardial rub or pericarditis by electrocardiography [EKG]” in the absence of other causes.18 We did not find data on sensitivity or specificity of abdominal serositis in SLE.
The European Society of Cardiology 2015 Guidelines for diagnosis and management of pericardial diseases defined acute pericarditis as an inflammatory syndrome with ≥2 of the following: (1) pericarditic chest pain (“typically sharp and pleuritic, improved by sitting up and leaning forward”), (2) pericardial friction rub, (3) new widespread ST-elevation or PR depression on EKG, (4) pericardial effusion (new or worsening).28 This definition has not been evaluated in SLE to our knowledge.
Lupus nephritis
The ACR 1982 criteria did not include renal biopsy. Biopsy-proven lupus nephritis in the setting of positive ANA or anti-dsDNA antibodies is considered sufficient for classification as SLE using the SLICC classification criteria. The SLICC publication did not present sensitivity or specificity data for renal biopsy, however. We reviewed lupus nephritis renal histopathology definitions from the International Society of Nephrology/Renal Pathology Society (ISN/RPS) 2003 Classification system.29 These definitions include characteristic findings by both light microscopy and immunofluorescence.
Active urine sediment was defined as “cellular casts – may be red cell, hemoglobin, granular, tubular, or mixed” in the ACR 1982 criteria.16 SLICC criteria include urinary red blood cell (RBC) casts as the sole indicator of an active urine sediment. ACR 2006 criteria for response in SLE clinical trials defined active urine sediment as >5 RBC/high power field (hpf) and >5 WBCs/hpf and/or ≥1 cellular cast.30 However, urinary RBC ≤5/hpf had low sensitivity and specificity in predicting improved renal function at 12 months in the Euro-Lupus Nephritis cohort.31
Antiphospholipid antibodies
The 1997 update to ACR 1982 criteria included antiphospholipid antibodies as follows: “abnormal” ACL IgG or IgM, or positive lupus anticoagulant, or false-positive serologic test for syphilis for at least six months and confirmed by a second test.17 SLICC criteria assign points for the presence of ≥1 of the following: positive lupus anticoagulant; false-positive rapid plasma reagin; medium- or high-titer anti-cardiolipin (ACL) IgA, IgG, or IgM (titers not defined); positive anti-β2-glycoprotein I (anti-β2GP1) IgA, IgG, or IgM. The need for repeat testing was not specified.
A 2006 international consensus statement updating the Sapporo Criteria stated that APS requires one of the following: ACL IgG >40 GPL units or IgM >40 MPL units; anti-β2GP1 IgG or IgM >99th percentile; and/or positive lupus anticoagulant.32 Per email discussion with an international expert on antiphospholipid antibodies, most clinical laboratories do not report the percentile for anti-β2GP1 IgG or IgM (D. Erkan, personal communication).
Complement proteins
ACR 1982 criteria do not include complements because, “we were unable to improve accuracy by using any combination of serum complement determinations, either as a separate criterion or by adding these determinations into one of the other combined variables.”16 SLICC criteria include low C3, low C4, or low CH50. In a large study of newly-diagnosed SLE and non-SLE patients, complement assays were performed by immunization rate scattering turbidimetry; low C3 was <0.79 g/L and low C4 was <0.16 g/L.20
Presence of multiple autoantibodies
In the early SLE cohort, anti-Ro antibody was present in 25% of SLE patients vs. 23% of mimickers; anti-La antibody was found in 11% of SLE vs. 9% of mimickers. Anti-U1-RNP was detected more frequently in SLE (22%) vs. mimickers (5%).19
Identification of domains
Clinical and immunologic domains identified before the EULAR 2016 Congress meeting included:
- Clinical domains
-
◦Constitutional
-
◦Cutaneous
-
◦Arthritis
-
◦Serositis
-
◦Hematologic
-
◦Renal
-
◦Neurologic was not included as a domain prior to this meeting; however, during phone calls and emails in the months after the meeting, consensus was reached about including a Neurologic domain as defined in Table 1
-
◦
- Immunologic domains
-
◦Other serologies
-
◦Complement proteins
-
◦Highly specific autoantibodies
-
◦
In-person meeting at the EULAR 2016 Congress
Data from the literature review, the proposed clinical and immunologic domains, and proposed clustering of criteria within domains, were reviewed. In applying the criteria, consensus was achieved for: (Table 1)
“For each criterion, do not score if a cause more likely than SLE exists (such as infection, malignancy, medication, rosacea, endocrine disorder, other autoimmune disease).” This statement was proposed to avoid redundancy in stating “in the absence of [insert specific causes]” after each criterion. This statement may be bolded on the final version of the scoring form to emphasize its great importance in scoring each criterion, and it underscores the clinical judgment and experience of the clinician scoring the patient.
“Occurrence of a criterion on at least one occasion is sufficient.” This is an important change compared to the ACR 1982 hematologic criteria, and is grounded in more recent data.
“Criteria need not occur simultaneously.” This statement reflects that SLE can evolve over time, with new manifestations appearing years after diagnosis.
“At least one clinical criterion must be present.” The group agreed that for the purposes of clinical research, the new classification criteria should not classify an asymptomatic patient as having SLE based on positive serologies only.
“Within each domain, only the highest weighted criterion is counted toward the total score.” This is based on the fact that symptoms in one category, such as leukopenia and thrombocytopenia, could stem from a non-SLE (e.g. bone marrow) disease.
It was also decided that the new criteria should avoid classifying patients with positive ANA and only cutaneous manifestations as SLE. It was agreed that ANA ≥1:80 by HEp2 immunofluorescence would be an entry criterion (e.g. must be present to be considered for classification as SLE), with the addition of the phrase “history of,” as patients with SLE may have a positive ANA that later normalizes.9 Because of the relatively low sensitivity of low complement levels identified through literature review, it was agreed that this should not be an entry criterion and it was re-assigned as an Immunologic domain.
Discussions about candidate criteria are summarized in Supplemental File 1.
DISCUSSION
In this phase of SLE classification criteria development, we applied a data-driven, consensus-based approach to categorize candidate criteria into independent domains. Through literature review, we synthesized the test performance characteristics of candidate criteria under consideration for classification of SLE. We then refined definitions for the candidate criteria, thereby improving the validity and reliability of the final classification system. Additionally, we adhered to the recommendation of SLE experts to cluster criteria into domains, creating hierarchical organization of criteria within domains.8
Our literature review revealed knowledge gaps about the sensitivity and specificity of some of the newly proposed criteria, thus expert consensus and patient input was critical for decision making. This was evident, for example, in the discussion regarding neurologic manifestations of SLE. Individual CNS and PNS manifestations have a low prevalence and consequently poor operating characteristics in SLE. In addition, it has been recognized that the attribution of neurologic events to SLE is difficult, and these events can occur up to 20 years before SLE diagnosis.33 However, both SLE experts and patients felt it was important to retain this domain into the next phase, for further testing.
Similarly, the concept of “presence of multiple autoantibodies” was an appealing criterion to many experts. However, it was evident that antibodies already part of candidate items by themselves could not be included, and antibodies that were not testable worldwide should not be included. This would preclude the feasibility of the final criteria system. Anti-Ro, anti-La, and anti-RNP antibodies remained for consideration. However, whether the presence of these antibodies increases or decreases the likelihood of SLE is highly dependent on the clinical context. For example, a patient with ANA 1:160 by Hep2 immunofluorescence, positive anti-Ro and anti-La antibodies, sicca syndrome, and no other signs or symptoms likely has primary Sjögren’s syndrome; in this case, anti-Ro and anti-La antibodies should carry negative weight for likelihood of SLE. Another patient with the same autoantibody profile, inflammatory arthritis, and pericarditis would be more properly classified as SLE; in this scenario, anti-Ro and anti-La antibodies should not detract from the likelihood of SLE, but whether they add to it is unclear.
With clarity on the definitions of the candidate criteria, their operating characteristics, and the hierarchical organization of criteria within domains,8 we are able to embark on the next phase of criteria development. In Phase III, ascertainment of criteria weights, possible further refinement of criteria and identification of a threshold for classification will be achieved using multicriteria decision analysis. It is anticipated that this will result in a numeric additive point system that will assign a probability that an individual with a combination of particular signs and symptoms can be classified as SLE. This scoring system will undergo validation and comparison against pre-existing classification systems. Certainly, our understanding of the immunologic basis of SLE is rapidly evolving and molecular diagnostic testing is being developed to more accurately distinguish SLE from non-SLE, and to allow sub-phenotyping of patients.34–37 These assays are not yet universally accepted or commercially available, and thus not ready for incorporation in disease classification criteria. However, as attempts at the cellular and molecular characterization of SLE are underway, it will be interesting to see whether they will support this clinically-derived set of SLE classification criteria and the underlying concepts—or radically change our ways of thinking about SLE classification.
Supplementary Material
Significance and Innovations.
We conducted a literature review to understand the performance characteristics of candidate classification criteria for SLE.
Organization of criteria into independent additive domains will facilitate, in the next phase of this international EULAR/ACR joint project, the development of an additive scoring system, with identification of a threshold score above which a patient will be classified as SLE for the purpose of clinical research studies.
Acknowledgments
Funding: This work was jointly supported by the European League Against Rheumatism and the American College of Rheumatology. Dr. Tedeschi’s work on this project was supported in part by the Lupus Foundation of America Career Development Award and NIH-NIAMS L30 AR070514. Dr. Johnson was supported by a Canadian Institutes of Health Research New Investigator Award.
The authors would like to thank the following individuals for their support of this project: Amy Miller for her outstanding organizational support and Zahi Touma, MD.
Footnotes
Conflicts of interest: None
References
- 1.Aringer M, Dorner T, Leuchten N, Johnson SR. Toward new criteria for systemic lupus erythematosus - a standpoint. Lupus. 2016;25:805–11. doi: 10.1177/0961203316644338. [DOI] [PubMed] [Google Scholar]
- 2.Felson DT, Anderson JJ. Methodological and statistical approaches to criteria development in rheumatic diseases. Baillieres Clin Rheumatol. 1995;9:253–66. doi: 10.1016/s0950-3579(05)80189-x. [DOI] [PubMed] [Google Scholar]
- 3.Singh JA, Solomon DH, Dougados M, Felson D, Hawker G, Katz P, et al. Development of classification and response criteria for rheumatic diseases. Arthritis Rheum. 2006;55:348–52. doi: 10.1002/art.22003. [DOI] [PubMed] [Google Scholar]
- 4.Dougados M, Gossec L. Classification criteria for rheumatic diseases: why and how? Arthritis Rheum. 2007;57:1112–5. doi: 10.1002/art.23015. [DOI] [PubMed] [Google Scholar]
- 5.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;57:1119–33. doi: 10.1002/art.23018. [DOI] [PubMed] [Google Scholar]
- 6.Schmajuk G, Hoyer BF, Aringer M, Johnson SR, Dorner T, Daikh DI. Identification of candidate items for revised classification criteria for systemic lupus erythematosus [abstract] Arthritis Rheum. 2015;67(Suppl 10) [Google Scholar]
- 7.Hoyer BF, Schmajuk G, Aringer M, Johnson SR, Daikh DI, Dorner T. Multi-center Delphi exercise reveals important key items in classifying SLE [abstract] Arthritis Rheum. 2015;67(Suppl 10) doi: 10.1002/acr.23503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Johnson SR, Khanna D, Cervera R, Costedoat-Chalumeau N, Gladman DD, Hahn BH, et al. Use of Nominal Group Technique to determine candidate items for SLE classification criteria development [abstract] Arthritis Rheum. 2016;68(Suppl 10) [Google Scholar]
- 9.Leuchten N, Schoels M, Smolen J, Aringer M, Johnson SR, Daikh DI, et al. Performance of anti-nuclear antibodies for classifying systemic lupus erythematosus: a systematic literature review and meta-regression of diagnostic data. Arthritis Care Res. 2017 doi: 10.1002/acr.23292. [in press] [DOI] [PubMed] [Google Scholar]
- 10.Johnson SR, Fransen J, Khanna D, Baron M, van den Hoogen F, Medsger TA, et al. Validation of potential classification criteria for systemic sclerosis. Arthritis Care Res. 2012;64:358–67. doi: 10.1002/acr.20684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Johnson SR, Naden RP, Fransen J, van den Hoogen F, Pope JE, Baron M, et al. Multicriteria decision analysis methods with 1000Minds for developing systemic sclerosis classification criteria. J Clin Epi. 2014;67:706–14. doi: 10.1016/j.jclinepi.2013.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.van den Hoogen F, Khanna D, Fransen J, Johnson SR, Baron M, Tyndall A, et al. 2013 classification criteria for systemic sclerosis: an American College of Rheumatology/European League against Rheumatism collaborative initiative. Arthritis Rheum. 2013;65:2737–47. doi: 10.1002/art.38098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Neogi T, Aletaha D, Silman AJ, Naden RL, Felson DT, Aggarwal R, et al. The 2010 American College of Rheumatology/European League Against Rheumatism classification criteria for rheumatoid arthritis: Phase 2 methodological report. Arthritis Rheum. 2010;62:2582–91. doi: 10.1002/art.27580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Neogi T, Jansen TL, Dalbeth N, Fransen J, Schumacher HR, Berendsen D, et al. 2015 Gout classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2015;67:2557–68. doi: 10.1002/art.39254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Cohen AS, Reynolds WE, Franklin EC, Kulka JP, Ropes MW, Shulman LE, et al. Preliminary criteria for the classification of systemic lupus erythematosus. Bulletin Rheum Dis. 1971;21:643–48. [Google Scholar]
- 16.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;25:1271–7. doi: 10.1002/art.1780251101. [DOI] [PubMed] [Google Scholar]
- 17.Hochberg MC. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum. 1997;40:1725. doi: 10.1002/art.1780400928. [DOI] [PubMed] [Google Scholar]
- 18.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;64:2677–86. doi: 10.1002/art.34473. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Touma Z, Costenbader KH, Johnson SR, Hoyer BF, Navara S, Bonfa E, et al. Do patients with SLE at onset differ from mimickers? A comparison of clinical and serological manifestations in a multicenter cohort to inform the development of new classification criteria for SLE [abstract] Ann Rheum Dis. 2016;75(Suppl 2):558. [Google Scholar]
- 20.Li H, Lin S, Yang S, Chen L, Zheng X. Diagnostic value of serum complement C3 and C4 levels in Chinese patients with systemic lupus erythematosus. Clinl Rheum. 2015;34:471–7. doi: 10.1007/s10067-014-2843-4. [DOI] [PubMed] [Google Scholar]
- 21.Petersdorf RG. Fever of unknown origin: an old friend revisited. Arch Int Med. 1992;152:21–2. [PubMed] [Google Scholar]
- 22.Cervera R, Khamashta M, Font J, Sebastiani GD, Gil A, Lavilla P, et al. Morbidity and mortality in systemic lupus erythematosus during a 5-year period. Medicine (Baltimore) 1999;78:167–75. doi: 10.1097/00005792-199905000-00003. [DOI] [PubMed] [Google Scholar]
- 23.Gilliam JN, Sontheimer RD. Distinctive cutaneous subsets in the spectrum of lupus erythematosus. J Am Acad Dermatol. 1981;4:471–5. doi: 10.1016/s0190-9622(81)80261-7. [DOI] [PubMed] [Google Scholar]
- 24.Elman SA, Joyce C, Nyberg F, Furukawa F, Goodfield M, Hasegawa M, et al. Items for developing classification criteria in discoid lupus erythematosus: results of a consensus exercise. J Am Acad Derm. 2017 doi: 10.1016/j.jaad.2017.02.030. [DOI] [PubMed] [Google Scholar]
- 25.Hanly JG, Urowitz MB, Su L, Bae SC, Gordon C, Wallace DJ, et al. Prospective analysis of neuropsychiatric events in an international disease inception cohort of patients with systemic lupus erythematosus. Ann Rheum Dis. 2010;69:529–35. doi: 10.1136/ard.2008.106351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Zirkzee EJ, Magro Checa C, Sohrabian A, Steup-Beekman GM. Cluster analysis of an array of autoantibodies in neuropsychiatric systemic lupus erythematosus. J Rheum. 2014;41:1720–1. doi: 10.3899/jrheum.140027. [DOI] [PubMed] [Google Scholar]
- 27.ACR Ad Hoc Committee on Neuropsychiatric Lupus Nomenclature. The American College of Rheumatology nomenclature and case definitions for neuropsychiatric lupus syndromes. Arthritis Rheum. 1999;42:599–608. doi: 10.1002/1529-0131(199904)42:4<599::AID-ANR2>3.0.CO;2-F. [DOI] [PubMed] [Google Scholar]
- 28.Adler Y, Charron P, Imazio M, Badano L, Baron-Esquivias G, Bogaert J, et al. 2015 ESC Guidelines for the diagnosis and management of pericardial diseases: The Task Force for the Diagnosis and Management of Pericardial Diseases of the European Society of Cardiology (ESC) Eur Heart J. 2015;36:2921–64. [Google Scholar]
- 29.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;65:521–30. doi: 10.1111/j.1523-1755.2004.00443.x. [DOI] [PubMed] [Google Scholar]
- 30.Renal Disease Subcommittee of the American College of Rheumatology Ad Hoc Committee on Systemic Lupus Erythematosus Response Criteria. The American College of Rheumatology response criteria for proliferative and membranous renal disease in systemic lupus erythematosus clinical trials. Arthritis Rheum. 2006;54:421–32. doi: 10.1002/art.21625. [DOI] [PubMed] [Google Scholar]
- 31.Dall'Era M, Cisternas MG, Smilek DE, Straub L, Houssiau FA, Cervera R, et al. Predictors of long-term renal outcome in lupus nephritis trials: lessons learned from the Euro-Lupus Nephritis cohort. Arthritis Rheum. 2015;67:1305–13. doi: 10.1002/art.39026. [DOI] [PubMed] [Google Scholar]
- 32.Miyakis S, Lockshin M, Atsumi T, Branch DW, Brey RL, Cervera R, et al. International consensus statement on an update of the classification criteria for definite antiphospholipid syndrome (APS) J Thromb Haemostasis. 2006;4:295–306. doi: 10.1111/j.1538-7836.2006.01753.x. [DOI] [PubMed] [Google Scholar]
- 33.Hanly JG, Urowitz MB, Sanchez-Guerrero J, Bae SC, Gordon C, Wallace DJ, et al. Neuropsychiatric events at the time of diagnosis of systemic lupus erythematosus: an international inception cohort study. Arthritis Rheum. 2007;56:265–73. doi: 10.1002/art.22305. [DOI] [PubMed] [Google Scholar]
- 34.Aberle T, Bourn RL, Munroe ME, Chen H, Roberts VC, Guthridge JM, et al. Clinical and serological features distinguish patients with incomplete lupus classification from systemic lupus erythematosus patients and controls. Arthritis Care Res. 2017 doi: 10.1002/acr.23201. [epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Munroe ME, Young KA, Kamen DL, Guthridge JM, Niewold TB, Costenbader KH, et al. Discerning risk of disease transition in relatives of systemic lupus erythematosus patients utilizing soluble mediators and clinical features. Arthritis Rheum. 2017;69:630–42. doi: 10.1002/art.40004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lu R, Munroe ME, Guthridge JM, Bean KM, Fife DA, Chen H, et al. Dysregulation of innate and adaptive serum mediators precedes systemic lupus erythematosus classification and improves prognostic accuracy of autoantibodies. J Autoimmun. 2016;74:182–93. doi: 10.1016/j.jaut.2016.06.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Putterman C, Furie R, Ramsey-Goldman R, Askanase A, Buyon J, Kalunian K, et al. Cell-bound complement activation products in systemic lupus erythematosus: comparison with anti-double-stranded DNA and standard complement measurements. Lupus Sci Med. 2014;1:e000056. doi: 10.1136/lupus-2014-000056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hanly JG, McCurdy G, Fougere L, Douglas J, Thompson K. Neuropsychiatric events in systemic lupus erythematosus: attribution and clinical significance. J Rheum. 2004;31:2156–62. [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.