Skip to main content
Journal of Scleroderma and Related Disorders logoLink to Journal of Scleroderma and Related Disorders
. 2020 Oct 5;6(1):66–76. doi: 10.1177/2397198320961967

Considerations for a combined index for limited cutaneous systemic sclerosis to support drug development and improve outcomes

Alain Lescoat 1,2, Susan L Murphy 3,4, David Roofeh 5, John D Pauling 6, Michael Hughes 7, Robert Sandler 7, François Zimmermann 2, Rachel Wessel 5, Whitney Townsend 8, Lorinda Chung 9,10, Christopher P Denton 11, Peter A Merkel 12,13, Virginia Steen 14, Yannick Allanore 15, Francesco Del Galdo 16, Dominique Godard 17, David Cella 18, Sue Farrington 19, Maya H Buch 20,21, Dinesh Khanna 5,
Editors: Daniel Furst, John Varga
PMCID: PMC8313014  NIHMSID: NIHMS1636289  PMID: 34316516

Abstract

Systemic sclerosis (systemic scleroderma) is characterized by a heterogeneous range of clinical manifestations. Systemic sclerosis is classified into limited cutaneous systemic sclerosis and diffuse cutaneous systemic sclerosis subgroups based on the extent of skin involvement. Randomized controlled trials in scleroderma have mainly focused on diffuse cutaneous systemic sclerosis partly because the measurement of skin involvement, critical for evaluating a therapeutic intervention, is more dynamic in this subset. Nonetheless, limited cutaneous systemic sclerosis, the most common cutaneous subset (about two-third), is also associated with significant morbidity and detrimental impact on health-related quality of life. The lack of interventional studies in limited cutaneous systemic sclerosis is partly due to a lack of relevant outcome measures to evaluate this subgroup. Combining several clinically meaningful outcomes selected specifically for limited cutaneous systemic sclerosis may improve representativeness in clinical trials and responsiveness of outcomes measured in randomized controlled trials. A composite index dedicated to limited cutaneous systemic sclerosis combining such relevant outcomes could advance clinical trial development for limited cutaneous systemic sclerosis by providing the opportunity to test and select among candidate drugs that could act as disease-modifying treatments for this neglected subgroup of systemic sclerosis. This proposed index would include items selected by expert physicians and patients with limited cutaneous systemic sclerosis across domains grounded in the lived experience of limited cutaneous systemic sclerosis. This article reviews the reasons behind the relative neglect of limited cutaneous systemic sclerosis, discusses the current state of outcome measures for limited cutaneous systemic sclerosis, identifies challenges, and proposes a roadmap for a combined limited cutaneous systemic sclerosis-specific treatment response index.

Keywords: Systemic sclerosis, scleroderma, limited cutaneous systemic sclerosis, classifications, combined response index, composite score, quality of life

Introduction

Systemic sclerosis (SSc; systemic scleroderma) is a disease characterized by diverse clinical manifestations. 1 By broadening the previous 1980 American College of rheumatology (ACR) classification criteria, 2 the 2013 European League Against Rheumatism (EULAR)/ACR classification criteria for SSc ensured the inclusion of patients with earlier and milder disease. 3 This constitutes an important step forward for understanding SSc. The updated classification criteria of SSc have fostered translational and therapeutic research in SSc, 4 and the multiple subgrouping of SSc over the past century has informed current knowledge. LeRoy and Medsger 6 subclassified SSc into limited cutaneous SSc (lcSSc) and diffuse cutaneous subsets (dcSSc) based on the extent of skin involvement 5 and later revised this classification. This concept of lcSSc, although proposed with the publication of LeRoy’s classification in 1988, had previously been discussed in the literature. The abandoned nosological entities of “acrosclerosis” and CREST (calcinosis, Raynaud’s phenomenon, esophageal dysmotility, sclerodactyly, telangiectasia) captured this idea of a subgroup of scleroderma patients with milder skin fibrosis and marked vascular manifestations, as opposed to “diffuse” or “generalized scleroderma” with fibrotic features at the forefront. 4 Although LeRoy’s dichotomous approach of lcSSc versus dcSSc has some limitations, 7 it is a clear and simple subgrouping that has influenced clinical trial design and provides a meaningful clinical prognosis. The lcSSc subgroup is the most prevalent, estimated to include 57%–77% of patients with SSc.814 In this article, we (a) consider the reasons why lcSSc has been largely overlooked in clinical trials, (b) discuss the current state of outcome measures for lcSSc, (c) identify the challenges in studying lcSSc, and (d) propose a roadmap for a combined response index for lcSSc.

LcSSc: an overlooked subgroup

Retained importance of “lcSSc,” within new classification schemes

Of all rheumatic diseases, SSc has the highest case-specific mortality, 1 which is largely driven by dcSSc. However, lcSSc is also associated with significant morbidity and a detrimental impact on health-related quality of life (QoL). The traditional dichotomy of SSc, distinguishing lcSSc and dcSSc, has recently been challenged as the authors have highlighted that there are more than two subgroups at stake and a more nuanced classification with various subgroups may more accurately reflect the heterogeneity of the disease and associated autoimmune-driven tissue damage.1517 Interestingly, in these attempts to develop new classification strategies, a frequent subgroup characterized by modest cutaneous evolution, a high prevalence of gastrointestinal manifestations, low mortality rate, and a high proportion of patients who are positive for anticentromere antibodies, has typically emerged.1820 These new classification approaches highlight the limitations of the binary approach to disease sub-setting currently deployed, 7 although a major subset of patients still responds to the “classical” and traditional image of LeRoy’s lcSSc. Therefore, this traditional limited cutaneous subset still deserves attention.

Visceral involvement in patients with lcSSc

With regard to visceral involvement and overall disease burden, lcSSc may have been largely overlooked in most studies and may represent “an unfairly neglected subset.” 12 The abandoned concept of CREST syndrome may have led to the idea that patients with lcSSc had a less severe disease phenotype, as the CREST mainly encompassed a subgroup of patients with lcSSc with anticentromere antibodies, no interstitial lung disease (ILD), and less frequent musculoskeletal manifestations. A recent analysis from the EULAR scleroderma trials and research (EUSTAR) cohort proposed a comprehensive view on this issue. 21 In this cross-sectional and longitudinal study, more than 8000 patients with lcSSc were compared with almost 5000 patients with dcSSc. This study highlighted that patients with lcSSc experienced multisystem involvement, as suggested by the presence of esophageal symptoms (62%), ILD (35%), digital ulcers (37%), cardiac diastolic dysfunction (20%), and joint synovitis (13%) (Figure 1). Interestingly, 33% of patients with dcSSc and 24% of those with lcSSc were on immunosuppressive therapy. 21 These findings highlight that patients with lcSSc warrant similar attention to possible visceral involvement as do patients with dcSSc, especially given the high rate of SSc-associated mortality due to ILD and cardiac involvement 22 (Figure 2). The importance of considering lcSSc-associated ILD is also supported by numerous trials in ILD that include this subgroup.2326 Previous observational studies that evaluated pulmonary arterial hypertension (PAH) showed that the lcSSc subgroup is strikingly overrepresented in comparison with the dcSSc subgroup. 27 In a meta-analysis, specifically addressing the issue of PAH in SSc, more than 80% of patients with PAH had lcSSc, with no major differences in survival between the two subgroups. 28

Figure 1.

Figure 1.

Major organ involvement and clinical manifestations in patients with limited cutaneous systemic sclerosis.

Figure 2.

Figure 2.

Causes of death for patients with the two main forms of systemic sclerosis (SSc): diffuse cutaneous systemic sclerosis and limited cutaneous systemic sclerosis (adapted from unpublished data from Frantz et al. 21 ).

QoL in the lcSSc population may also be a neglected area of study and incorporation in clinical trials. The overall impact of dcSSc on QoL may be greater than on lcSSc, but the main clinical manifestations responsible for QoL impairment may be quite similar between the two subgroups. 29 Nonetheless, the precise definitions and mapping of the domains and related outcome measures may influence these results. 21 In a study addressing QoL impairment in patients with SSc, the main SSc-related manifestations that impacted daily life were Raynaud’s phenomenon, gastrointestinal issues, and musculoskeletal manifestations,3035 each of which are highly prevalent in lcSSc. Hand function is also compromised in lcSSc, and hand manifestations, such as calcinosis and acro-osteolysis, are observed both in dcSSc and lcSSc.36,37 Gastrointestinal involvement may concern up to 90% of patients with SSc, and these manifestations are not associated with a specific disease subtype.38,39 Recent studies have highlighted that severe gastrointestinal dysmotility was independent from cutaneous subtype in multivariable analysis, suggesting again that patients with lcSSc or dcSSc are equally impacted by such manifestations. 40 Considering the increased frequency of lcSSc, much of the SSc-associated morbidity experienced in cohorts of patients with scleroderma is due to lcSSc. The systematic emphasis on the diffuse subgroup within clinical trial programs of SSc has inadvertently excluded over half of the patients we manage and in doing so has restricted the therapeutic options available to this important subgroup of patients.

The lack of representativeness of lcSSc in clinical trials

Drug development, clinical trials, and studies evaluating QoL have largely been focused on dcSSc and/or have overrepresented the proportion of the dcSSc subgroup in comparison with lcSSc. There are, on the contrary, few studies dedicated to lcSSc, especially clinical trials. 15 A recent analysis of outcomes used in scleroderma trials have highlighted that among the 97 published trials, 53 included patients with either lcSSc and dcSSc, 22 included dcSSc only, and 4 trials were specific to lcSSc (only one for the entire 2011–2018 period). 41 This may be justified by the greater impact of dcSSc on mortality, and the fact that a more rapid progression of some SSc-associated manifestations in dcSSc may facilitate shorter clinical trials. Moreover, many clinical trials in SSc have focused on skin involvement, using the modified Rodnan skin score (mRSS) as the primary outcome.4244 It is now well established that mRSS may not be an adequate outcome measure for the assessment of skin involvement in lcSSc, especially considering its limited sensitivity to change in this subgroup. 45 Although digital ulcers and pulmonary-related outcome measures may represent shared assessment tools between dcSSc and lcSSc, the lack of interventional studies specifically in lcSSc may be due, in part, to a paucity of relevant outcome measures to effectively evaluate this subgroup, such as tool assessing the impact of frequent lcSSc-associated manifestations such as calcinosis or acro-osteolysis.

Potential benefits of a combined response index for patients with lcSSc

Phase II and III clinical trials in dcSSc have recently benefited from the creation and endorsement of a combined response index dedicated to dcSSc. This ACR-endorsed combined response index for systemic sclerosis (CRISS) was designed to capture the global improvement of dcSSc based on the selection of domains and items in accordance with the outcome measure in rheumatology (OMERACT) strategy. 46 The ACR CRISS has been shown to differentiate active therapy versus placebo in recent phase II trials42,47 and has been utilized as an acceptable endpoint for registration trials. This combined response index is based on a two-step evaluation. The first step evaluates if there has been a new or worsening of the underlying cardiac function (ejection fraction of ⩽45% requiring treatment), lung function (loss of forced vital capacity (FVC% predicted) of at least relative 15% in documented ILD or new onset of PAH), or the occurrence of scleroderma renal crisis during the considered period of time. If such a major event has not occurred, then a second step based on five variables (FVC% predicted, mRSS, patient and physician global assessments, and disability (health assessment questionnaire disability index)) is used to measure the overall probability of improvement during this same period. Although some items included in this index share relevant outcome measures between dcSSc and lcSSc (FVC%, patient and physician global assessments, disability (health assessment questionnaire disability index), and new onset of PAH), other items used in the CRISS are not equally relevant for lcSSc such as the onset of scleroderma renal crisis and mRSS. Most importantly, the CRISS was designed as an assessment tool for early dcSSc and was validated using data from randomized clinical trials of patients with dcSSc and patient profiles from longitudinal cohorts of dcSSc. 48

The ACR CRISS and its use in recent randomized clinical trials serves as proof of concept that a global assessment of SSc is possible, and potential candidates of disease-modifying drugs can be evaluated using such a tool, even in short-term trials with small sample sizes.47,49 This is especially true considering that in some cases the ACR CRISS can successfully differentiate active therapy versus placebo, when the primary outcome measure fails to do so such as in a recent trial evaluating abatacept for dcSSc. 42 An equivalent combined response index that could similarly capture the impact of therapeutic measures on lcSSc would address this relatively under-investigated subgroup of patients. The objective of the CRISTAL project (combined response index for scleroderma trials assessing lcSSc) is toward the development of a combined response index for lcSSc for use in clinical trials.

Unmet needs for a combined index dedicated to lcSSc: the case for CRISTAL

The need for patient-reported outcomes tailored for lcSSc

Value-based healthcare, patient-reported outcomes (PROs), and treatment satisfaction are core values for new reference standards and therefore quality metrics in patient management and drug approval by regulatory agencies.50,51 The creation of a new assessment tool for a complex rheumatological disease, like lcSSc, requires the incorporation of the patients’ perspective, especially for the identification of the most important domains for this combined response index. Comprehensive identification of outcome measures, including PRO, will therefore require highlighting the most relevant items within the domains that are considered the most bothersome by patients with lcSSc. The patient perspective of the most bothersome symptoms of lcSSc has been largely overlooked. Including specific PRO directly in candidate combined indices could help to involve the patients in the evaluation process. Most of PRO measures used to assess SSc are not specifically designed for this disease. Indeed, patients with SSc, and in particular patients with lcSSc have not been involved in the design and development activities of most of PRO measures conducted to evaluate SSc. 52 Nonetheless, some exceptions exist such as the systemic sclerosis UCLA gastrointestinal tract questionnaire (UCLA SCTC GIT).53,54 Patient involvement in creating and validating PROs is now required to satisfy regulatory agencies, such as the US Food and Drug Administration (FDA), when considering product label claims. With regards to PRO for lcSSc, the NIH PROMIS® initiative offers a broad range of tools; some of them, such as the NIH PROMIS® gastrointestinal symptom scales, are relevant for (but not dedicated to) patients with SSc, some of whom were involved in the instruments’ development. 55 The NIH PROMIS® initiative also provides a large variety of formats, including short forms and computerized adaptive tests (CAT) that allows for customization of the assessment tools that are relevant for the domains of interest, including physical health, mental health, and social health domains.56,57

Including QoL and its determinants in clinical trials assessing patients with lcSSc

With regard to feeling, function, and QoL, an international report on the responses of patients with SSc noted that fatigue and pain were among the shared patients’ priorities in all evaluated countries. 58 Although this study involved patients both with dcSSc and lcSSc, it highlighted that including patients’ perspective and evaluation of QoL would need to include the evaluation of general symptoms, which have been largely overlooked to date. 59 This is a challenging issue as nonspecific manifestations, such as pain and fatigue, may not be directly impacted by specific therapies for SSc. Nonetheless, an effective disease-modifying drug for lcSSc may positively impact these symptoms. Moreover, some specific SSc-associated features, such as physical appearance, change with subsequent impairment of social interactions, and the risk of depression, may directly impact functioning and precipitate the development of fatigue.6062 Similarly, digital ulcers, arthritis, and skin involvement could directly impact pain and the perception of pain. Deciphering the interactions between specific features of the disease and the onset of general symptoms could help to determine the most relevant items to be included in a combined response index for lcSSc. Including assessment tools based on modern psychometric and/or item response theories may help to capture important subjective feelings linked to QoL within this new index. 56 Achieving the proper balance between the evaluation of lcSSc-related manifestations and the inclusion of considerations on functioning and QoL based on patient perspectives is one of the main challenges ahead. Including input from experts in SSc trials and careful evaluation of the candidate items for final selection according to the OMERACT filter 2.0 is also vital as the final goal is the creation of an index useful for specific drug evaluation. 63

A proposed roadmap for the development of the index

Figure 3 presents a possible roadmap to guide the development of a combined response index for lcSSc.

Figure 3.

Figure 3.

A proposed roadmap for the creation of the CRISTAL index (Combined response index for scleroderma trials assessing limited cutaneous SSc).

lcSSc: limited cutaneous systemic sclerosis; OMERACT: outcome measures in rheumatology; RCTs: randomized clinical trials.

Step 1: synthesize knowledge about the existing outcome measures in lcSSc and include patient input on the most bothersome symptoms

The first stage of the effort is the identification of key domains and related outcome measures to inform these domains. A cornerstone of this stage (and others) is the inclusion of patient perspectives. The first step will involve a qualitative approach based on e-focus groups, including only patients with lcSSc, to highlight the key domains they consider as the most bothersome. This e-focus group approach allows identification of items and domains without being done a priori and without preconceived or pre-determined clinician-oriented query. This will ensure clinician perspectives have limited impact on patient input at the early stage of data collection. The identified domains will be informed by a systematic scoping review of the literature that will provide an overview of outcome measures previously used in the assessment of patients with lcSSc in observational and interventional studies. 41 Analyzing the frequency of use of the outcome measures and the domains identified during the literature review may allow us to identify gaps between researcher/clinician concerns and perspectives of patients with lcSSc as identified in the e-focus groups.

Steps 2 and 3: select domains and items to be included in data-driven approach for a study of lcSSc

The next steps for identifying the core set of items will be to conduct Delphi exercises for experts and patients to enrich the list of items previously identified allowing for ranking of the most relevant items from these perspectives. Based on the results of the Delphi exercises, the selection of the core set of items will be proposed though a nominal group technique (NGT), involving patients and experts, with the goal of achieving a consensus for a short list of items that will include the most relevant outcomes for randomized clinical trials according to experts (based on the OMERACT filter 2.0) and items and/or domains identified as bothersome by the patient participants. Items from the NIH PROMIS® item banks may serve as the starting point for domains that are included in PROMIS® (such pain and fatigue) but will require developing items for scleroderma specific symptoms.

Step 4: select and validate items to be included in candidate indices

Once the core set of items is identified, the psychometric properties of all items will be tested in longitudinal cohorts to evaluate their clarity, feasibility, reliability, and validity (including responsiveness to change). These analyses of longitudinal data will serve as the next steps by providing data for patient profiles and will help to finalize a revised set of items. A cognitive debriefing of the items will also be conducted, based on a sample of patients from longitudinal cohorts. Using a dedicated cohort could also help to include the self-reported status of the patients, as improved, stabilized, or worsened. A similar rating by expert clinicians, with consensus about status among experts, would also be proposed based on patient profiles. The final selection of the items to be included in the candidate indices will be determined by evaluating their association with the identified goal (improvement/stabilization), testing their redundancy, and determining the helpfulness of the items for predicting evolution and defining the minimal clinically important difference of candidate indices.

Step 5: select the most efficient CRISTAL index

Based on these results, different candidate indices with the most relevant associations, as defined by a steering committee that includes various expert clinicians and patient partners, will be proposed. The last step will be the inclusion of these candidate indices as secondary endpoints in clinical trials to select the most efficient index for differentiating groups and to estimate a clinically important difference and change score for this index. 48

Limitations of the proposed development of a combined response index for lcSSc

Organ-by-organ outcome measures versus combined response index

It could be argued that individual organs that are most often affected in lcSSc should be the focus of outcome assessment and this should be prioritized over the creation of a combined response index. Under this argument, there is an unmet need for specific assessment tools dedicated to assessing impact on the involved organs. The development of new PRO or outcome measures for specific domains could be considered a useful complement to the creation of a combined response index. As tools that are tailored to specific domains in lcSSc are developed, they could be included with a combined index.64,65 Furthermore, inherent in the concept of studying lcSSc organ-by-organ is the supposition that these manifestations of disease stem from distinct pathophysiologies, a concept countered by the success of single therapies for other multisystem rheumatic diseases such as systemic lupus erythematosus and vasculitis.66,67 One could nonetheless argue that a treatment tailored for a manifestation such as calcinosis and another that would focus on gastrointestinal involvement would be very different and would precisely target different pathways. Thus, it has been recently highlighted that a promising strategy for scleroderma trials would be the increasingly frequent evaluation of combination therapies, 68 as the discovery of a single disease-modifying drug is uncertain. Combination therapies could be a viable strategy that may help to manage various SSc-associated domains, and with this in mind, a combined response index could constitute a relevant endpoint.

Sensitivity to change and disease course of lcSSc

LcSSc has a more prolonged disease course than dcSSc, but this very issue, in combination with the idea that organs are more often affected individually in lcSSc, supports the need for a combined index to more efficiently capture changes in disease status. This combined response index for lcSSc must be sensitive enough to capture symptoms and visceral manifestations across time that may not be present in the first years of the disease. It will also need to be responsive enough for symptoms that change over time (e.g. seasonable variability of Raynaud’s phenomenon, psychological distress, or decreased oral aperture). Responsiveness to change in lcSSc may constitute specific challenges for such an index. For example, the rate of progression in lcSSc is generally slower than in dcSSc, and manifestations such as digital ulcers and PAH may occur much later in the natural history of lcSSc. 21 The inclusion of items based on the time to treatment failure within candidate indices may help to tackle this issue, and the combination of multiple items in the same index may also help to increase its precision and responsiveness.

Clinical relevance, variability, and overall treatment goal for lcSSc

The use of a combined response index could lead to increased variability with subsequent increases in the required sample size. 68 The issue of overtly restrictive inclusion criteria is a major concern for randomized clinical trials evaluating early dcSSc, but it would likely be a less critical barrier in lcSSc since limiting inclusion based on a maximum disease duration may be of less importance for lcSSc than dcSSc. Another concern about a combined response index is the clinical relevance of the differences between groups. This is also true for single item primary outcomes as illustrated with the recent debate concerning the clinically relevant decline of FVC in SSc-associated ILD.24,69 The involvement of patients at each stage of the collaboration process of a lcSSc focused combined response index would strengthen the clinical relevance of the index and ensure that this index would be adequately grounded in and responsive to the lived experience of lcSSc. This strategy would also help to properly define the minimal clinically important difference for this index. A final issue to consider when creating a useful combined response index is the question of defining the overall treatment goal. Is it improvement or stabilization? There is still an ongoing debate concerning this question in SSc, in general, and this decision will greatly impact the selection of the items and domains for lcSSc. This question also highlights that this combined index will not be an activity or severity index, and it will need to be designed with the constant reminder of its relevance in clinical trials. 64

Conclusion

As compared to dcSSc, lcSSc remains highly overlooked, specifically in terms of clinical trial programs and availability of targeted therapeutic strategies. A project to develop CRISTAL would need to properly capture relevant key domains, based on the patients’ perspectives, and would include patient partners at each step of its conception in collaboration with expert clinicians. Identifying and defining the domains and relevant outcome measures to be included in such a combined response index is a necessary first step for the development of this index. Selecting standardized, patient-informed, and clinically meaningful outcome measures could lead to the design of clinical trials with a strong potential to achieve regulatory agency approval and propel much needed drug development in lcSSc.

Acknowledgments

The Editor/Editorial Board Member of JSRD is an author of this paper, therefore, the peer review process was managed by alternative members of the Board and the submitting Editor/Board member had no involvement in the decision-making process.

Footnotes

Declaration of conflicting interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: S.L.M. has received grant support <US$10,000 from Lymphatouch, LLC. D.K. is a consultant to Acceleron, Abbvie, Actelion, Amgen, Bayer, BMS, Boehringer Ingelheim, CSL Behring, Corbus, Galapagos, Genentech/Roche, GSK, Horizon, Mitsubishi Tanabe Pharma, Sanofi-Aventis, and United Therapeutics. He has stock options in Eicos Sciences, Inc. J.D.P. has received speaker’s honoraria and research grant support (>US$10,000) from Actelion pharmaceuticals. J.D.P. has undertaken consultancy work for Actelion pharmaceuticals, Sojournix Pharma, and Boehringer Ingelheim. M.H. has received speaker honoraria (<US$10,000) from Actelion pharmaceuticals. C.P.D. has received personal fees from Actelion, Bayer, Boehringer Ingelheim, Corbus, Roche, Sanofi, CSL Behring, GlaxoSmithKline, and Inventiva. L.C. has served as an advisor and speaker, has received grant funding from Boehringer Ingelheim, and has served as an advisor for Mitsubishi Tanabe and Eicos Sciences, Inc. and on the data safety monitoring board for Reata. P.A.M. has received consulting fees from AbbVie, AstraZeneca, Biogen, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, ChemoCentryx, CSL Behring, Forbius, Genentech/Roche, Genzyme/Sanofi, GlaxoSmithKline, InflaRx, Insmed, Jannsen, Kiniksa, Kyverna, Magenta, Novartis, Pfizer, Sparrow, Takeda, and Talaris; has received research support from AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, ChemoCentryx, Forbius, Genentech/Roche, Genzyme/Sanofi, GlaxoSmithKline, and InflaRx; and has received royalties from UpToDate. Y.A. has received personal fees from Actelion, Bayer, Boehringer Ingelheim, Curzion, Roche, Sanofi, and Inventiva. M.H.B. has received meeting support from Boehringer Ingelheim. D.C. has received research funding from Pfizer, Novartis, BMS, AstraZeneca, Abbvie, Lilly, Astellas, Merck/EMD Serono, and Bayer and has received consulting fees from Pfizer, Novartis, BMS, Abbvie, Asahi Kasei, PledPharma, Ipsen, and Astellas. V.S. is a consultant to Boehringer Ingelheim, CSL Behring, Corbus, Galapagos, Forbius, and Eicos. F.D.G. has received research funding and/or consulting fees or other remuneration from GlaxoSmithKline, AstraZeneca, Boehringer Ingelheim, Actelion, Capella Bioscience, Chemomab, Kymab, Actelion, iqvia, and Mitsubishi Tanabe. A.L., D.R., R.S., F.Z., R.W., W.T., D.G., and S.F. have no conflict of interest.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The project was funded by a grant by SRUK/WSF (UH&UHR1). Dr Khanna was supported by NIH/NIAMS K24 (AR063120). Dr. Roofeh was funded by the NIH/NIAMS T32 grant (AR007080)

References

  • 1. Denton CP, Khanna D. Systemic sclerosis. The Lancet 2017; 390(10103): 1685–1699. [DOI] [PubMed] [Google Scholar]
  • 2. Masi AT. Preliminary criteria for the classification of systemic sclerosis (scleroderma). Arthrit Rheumat 1980; 23(5): 581–590. [DOI] [PubMed] [Google Scholar]
  • 3. van den Hoogen F, Khanna D, Fransen J, et al. 2013 classification criteria for systemic sclerosis: an American College of rheumatology/European league against rheumatism collaborative initiative: ACR/EULAR classification criteria for SSc. Arthritis & Rheumatism 2013; 65(11): 2737–2747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Lescoat A, Cavalin C, Ehrlich R, et al. The nosology of systemic sclerosis: how lessons from the past offer new challenges in reframing an idiopathic rheumatological disorder. Lancet Rheumatol 2019; 1(4): e257–e264. [DOI] [PubMed] [Google Scholar]
  • 5. LeRoy EC, Black C, Fleischmajer R, et al. Scleroderma (systemic sclerosis): classification, subsets and pathogenesis. J Rheumatol 1988; 15(2): 202–205:202–205. [PubMed] [Google Scholar]
  • 6. LeRoy EC, Medsger TA. Criteria for the classification of early systemic sclerosis. J Rheumatol 2001; 28(7):1573–1576. [PubMed] [Google Scholar]
  • 7. Ligon CB, Wigley FM. Editorial: scleroderma: bringing a disease from black-and-white into technicolor. Arthrit Rheumatol 2015; 67(12): 3101–3103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Steen V, Domsic RT, Lucas M, et al. A clinical and serologic comparison of African American and Caucasian patients with systemic sclerosis. Arthritis Rheum 2012; 64(9): 2986–2994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Marangoni RG, Rocha LF, Del Rio AP, et al. Systemic sclerosis sine scleroderma: distinct features in a large Brazilian cohort. Rheumatology 2013; 52(8): 1520–1524. [DOI] [PubMed] [Google Scholar]
  • 10. Diab S, Dostrovsky N, Hudson M, et al. Systemic sclerosis sine scleroderma: a multicenter study of 1417 subjects. J Rheumatol 2014; 41(11): 2179–2185. [DOI] [PubMed] [Google Scholar]
  • 11. Saez-Comet L, Simeon-Aznar CP, Perez-Conesa M, et al. Applying the ACR/EULAR systemic sclerosis classification criteria to the Spanish scleroderma registry cohort. J Rheumatol 2015; 42(12): 2327–2331. [DOI] [PubMed] [Google Scholar]
  • 12. Allanore Y. Limited cutaneous systemic sclerosis: the unfairly neglected subset. J Scleroderma Relat Disord 2016; 1(3): 241–246. [Google Scholar]
  • 13. Moinzadeh P, Riemekasten G, Siegert E, et al. Vasoactive therapy in systemic sclerosis: real-life therapeutic practice in more than 3000 patients. J Rheumatol 2016; 43(1): 66–74. [DOI] [PubMed] [Google Scholar]
  • 14. Fretheim H, Halse A-K, Seip M, et al. Multidimensional tracking of phenotypes and organ involvement in a complete nationwide systemic sclerosis cohort. Rheumatology 2020; 2020: keaa026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Galdo FD, Hartley C, Allanore Y. Randomised controlled trials in systemic sclerosis: patient selection and endpoints for next generation trials. Lancet Rheumatol 2020; 2(3):e173–e184. [DOI] [PubMed] [Google Scholar]
  • 16. Hinchcliff M, Mahoney JM. Towards a new classification of systemic sclerosis. Nat Rev Rheumatol 2019; 15(8): 456–457. [DOI] [PubMed] [Google Scholar]
  • 17. Lepri G, Hughes M, Bruni C, et al. Recent advances steer the future of systemic sclerosis toward precision medicine. Clin Rheumatol 2020; 39(1): 1–4. [DOI] [PubMed] [Google Scholar]
  • 18. Sobanski V, Giovannelli J, Allanore Y, et al. Phenotypes determined by cluster analysis and their survival in the prospective European scleroderma trials and research cohort of patients with systemic sclerosis. Arthritis Rheumatol 2019; 71(9): 1553–1570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Ledoult E, Launay D, Béhal H, et al. Early trajectories of skin thickening are associated with severity and mortality in systemic sclerosis. Arthritis Res Ther 2020; 22(1): 30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Nihtyanova SI, Sari A, Harvey JC, et al. Using autoantibodies and cutaneous subset to develop outcome-based disease classification in systemic sclerosis. Arthritis Rheumatol 2020; 72(3): 465–476. [DOI] [PubMed] [Google Scholar]
  • 21. Frantz C, Huscher D, Avouac J, et al. Outcomes of limited cutaneous systemic sclerosis patients: results on more than 12,000 patients from the EUSTAR database. Autoimmun Rev 2020; 19(2): 102452. [DOI] [PubMed] [Google Scholar]
  • 22. Elhai M, Meune C, Boubaya M, et al. Mapping and predicting mortality from systemic sclerosis. Ann Rheum Dis 2017; 76(11): 1897–1905. [DOI] [PubMed] [Google Scholar]
  • 23. Flaherty KR, Wells AU, Cottin V, et al. Nintedanib in progressive fibrosing interstitial lung diseases. New Engl J Med 2019; 381(18): 1718–1727. [DOI] [PubMed] [Google Scholar]
  • 24. Distler O, Highland KB, Gahlemann M, et al. Nintedanib for systemic sclerosis–associated interstitial lung disease. New Engl J Med 2019; 380(26): 2518–2528. [DOI] [PubMed] [Google Scholar]
  • 25. Tashkin DP, Elashoff R, Clements PJ, et al. Cyclophos-phamide versus placebo in scleroderma lung disease. New Engl J Med 2006; 354(25): 2655–2666. [DOI] [PubMed] [Google Scholar]
  • 26. Tashkin DP, Roth MD, Clements PJ, et al. Mycophenolate mofetil versus oral cyclophosphamide in scleroderma-related interstitial lung disease (SLS II): a randomised controlled, double-blind, parallel group trial. Lancet Respir Med 2016; 4(9): 708–719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Coghlan JG, Denton CP, Grünig E, et al. Evidence-based detection of pulmonary arterial hypertension in systemic sclerosis: the DETECT study. Ann Rheum Dis 2014; 73(7): 1340–1349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Lefevre G, Dauchet L, Hachulla E, et al. Survival and prognostic factors in systemic sclerosis-associated pulmonary hypertension: a systematic review and meta-analysis. Arthritis Rheum 2013; 65(9): 2412–2423. [DOI] [PubMed] [Google Scholar]
  • 29. McNearney TA, Sallam HS, Hunnicutt SE, et al. Gastric slow waves, gastrointestinal symptoms and peptides in systemic sclerosis patients. Neurogastroenterol Motil 2009; 21(12): 1269–e120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Frantz C, Avouac J, Distler O, et al. Impaired quality of life in systemic sclerosis and patient perception of the disease: a large international survey. Semin Arthritis Rheum 2016; 46(1): 115–123. [DOI] [PubMed] [Google Scholar]
  • 31. Suarez-Almazor ME, Kallen MA, Roundtree AK, et al. Disease and symptom burden in systemic sclerosis: a patient perspective. J Rheumatol 2007; 34(8): 1718–1726. [PubMed] [Google Scholar]
  • 32. Racine M, Hudson M, Baron M, et al. The impact of pain and itch on functioning and health-related quality of life in systemic sclerosis: an exploratory study. J Pain Symptom Manage 2016; 52(1): 43–53. [DOI] [PubMed] [Google Scholar]
  • 33. Bassel M, Hudson M, Taillefer SS, et al. Frequency and impact of symptoms experienced by patients with systemic sclerosis: results from a Canadian National Survey. Rheumatology 2011; 50(4): 762–767. [DOI] [PubMed] [Google Scholar]
  • 34. Kwakkenbos L, Thombs BD, Khanna D, et al. Performance of the patient-reported outcomes measurement information system-29 in scleroderma: a scleroderma patient-centered intervention network cohort study. Rheumatology 2017; 56(8): 1302–1311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Morrisroe K, Sudararajan V, Stevens W, et al. Work productivity in systemic sclerosis, its economic burden and association with health-related quality of life. Rheumatology 2018; 57(1): 73–83. [DOI] [PubMed] [Google Scholar]
  • 36. Young A, Namas R, Dodge C, et al. Hand impairment in systemic sclerosis: various manifestations and currently available treatment. Curr Treatm Opt Rheumatol 2016; 2(3): 252–269. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Lescoat A, Coiffier G, de Carlan M, et al. Combination of capillaroscopic and ultrasonographic evaluations in systemic sclerosis: results of a cross-sectional study. Arthritis Care Res 2018; 70(6): 938–943. [DOI] [PubMed] [Google Scholar]
  • 38. Thoua NM, Bunce C, Brough G, et al. Assessment of gastrointestinal symptoms in patients with systemic sclerosis in a UK tertiary referral centre. Rheumatology 2010; 49(9): 1770–1775. [DOI] [PubMed] [Google Scholar]
  • 39. Brandler JB, Sweetser S, Khoshbin K, et al. Colonic manifestations and complications are relatively under-reported in systemic sclerosis: a systematic review. Am J Gastroenterol 2019; 114(12): 1847–1856. [DOI] [PubMed] [Google Scholar]
  • 40. McMahan ZH, Paik JJ, Wigley FM, et al. Determining the risk factors and clinical features associated with severe gastrointestinal dysmotility in systemic sclerosis. Arthritis Care Res 2018; 70(9): 1385–1392. [DOI] [PubMed] [Google Scholar]
  • 41. Sumpton D, Bigot A, Sautenet B, et al. The scope and consistency of outcomes reported in trials in patients with systemic sclerosis. Arthritis Care Res 2020; 72(10): 1449–1458. [DOI] [PubMed] [Google Scholar]
  • 42. Khanna D, Spino C, Johnson S, et al. Abatacept in early diffuse cutaneous systemic sclerosis: results of a phase II investigator-initiated, multicenter, double-blind, randomized, placebo-controlled trial. Arthritis Rheumatol 2020; 72(1): 125–136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Khanna D, Allanore Y, Denton CP, et al. Riociguat in patients with early diffuse cutaneous systemic sclerosis (RISE-SSc): randomised, double-blind, placebo-controlled multicentre trial. Ann Rheum Dis 2020; 79(5): 618–625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Khanna D, Denton CP, Jahreis A, et al. Safety and efficacy of subcutaneous tocilizumab in adults with systemic sclerosis (faSScinate): a phase 2, randomised, controlled trial. Lancet 2016; 387(10038): 2630–2640. [DOI] [PubMed] [Google Scholar]
  • 45. Khanna D, Furst DE, Clements PJ, et al. Standardization of the modified Rodnan skin score for use in clinical trials of systemic sclerosis. J Scleroderma Relat Disord 2017; 2(1): 11–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Boers M, Beaton DE, Shea BJ, et al. OMERACT filter 2.1: elaboration of the conceptual framework for outcome measurement in health intervention studies. J Rheumatol 2019; 46(8): 1021–1027. [DOI] [PubMed] [Google Scholar]
  • 47. Spiera R, Hummers L, Chung L, et al. Safety and efficacy of lenabasum in a phase 2 randomized, placebo-controlled trial in adults with systemic sclerosis. Arthrit Rheumatol 2020; 72(8): 1350–1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Khanna D, Berrocal VJ, Giannini EH, et al. The American College of rheumatology provisional composite response index for clinical trials in early diffuse cutaneous systemic sclerosis. Arthrit Rheumatol 2016; 68(2): 299–311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Zheng B, Hudson M, Wang M, et al. Immunosuppressive treatment in diffuse cutaneous systemic sclerosis is associated with an improved composite response index (CRISS). Arthritis Res Ther 2020; 22(1): 132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Pauling JD, Caetano J, Campochiaro C, et al. Patient-reported outcome instruments in clinical trials of systemic sclerosis. J Scleroderma Relat Disord 2020; 5(2): 90–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Saketkoo LA, Scholand MB, Lammi MR, et al. Patient-reported outcome measures in systemic sclerosis–related interstitial lung disease for clinical practice and clinical trials. J Scleroderma Relat Disord 2020; 5(2 Suppl.): 48–60: 48–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Pauling JD, Frech TM, Domsic RT, et al. Patient participation in patient-reported outcome instrument development in systemic sclerosis. Clin Exp Rheumatol 2017; 35(Suppl. 106(4)): 184–192. [PubMed] [Google Scholar]
  • 53. Khanna D, Hays RD, Park GS, et al. Development of a preliminary scleroderma gastrointestinal tract 1.0 quality of life instrument. Arthritis Rheum 2007; 57(7): 1280–1286. [DOI] [PubMed] [Google Scholar]
  • 54. Khanna D, Hays RD, Maranian P, et al. Reliability and validity of the University of California, Los Angeles scleroderma clinical trial consortium gastrointestinal tract instrument. Arthritis Rheum 2009; 61(9): 1257–1263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Spiegel BMR, Hays RD, Bolus R, et al. Development of the NIH patient-reported outcomes measurement information system (PROMIS) gastrointestinal symptom scales. Am J Gastroenterol 2014; 109(11): 1804–1814. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Khanna D, Krishnan E, Dewitt EM, et al. The future of measuring patient-reported outcomes in rheumatology: patient-reported outcomes measurement information system (PROMIS). Arthritis Care Res 2011; 63(Suppl. 11): S486–S490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Reeve BB, Hays RD, Bjorner JB, et al. Psychometric evaluation and calibration of health-related quality of life item banks: plans for the patient-reported outcomes measurement information system (PROMIS). Med Care 2007; 45(5 Suppl 1): S22–S31. [DOI] [PubMed] [Google Scholar]
  • 58. Stamm TA, Mattsson M, Mihai C, et al. Concepts of functioning and health important to people with systemic sclerosis: a qualitative study in four European countries. Ann Rheum Dis 2011; 70(6): 1074–1079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Murphy SL, Kratz AL, Whibley D, et al. Fatigue and its association with social participation, functioning and quality of life in systemic sclerosis. Arthrit Care Res. Epub ahead of print 16 December 2019. DOI: 10.1002/acr.24122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Stamm T, Mosor E, Omara M, et al. How can fatigue be addressed in individuals with systemic sclerosis? Lancet Rheumatol 2020; 2(3): e128–e129. [DOI] [PubMed] [Google Scholar]
  • 61. Fox RS, Mills SD, Gholizadeh S, et al. Validity and correlates of the brief satisfaction with appearance scale for patients with limited and diffuse systemic sclerosis: analysis from the University of California, Los Angeles scleroderma quality of life study. J Scleroderma Relat Disord 2020; 5(2): 143–151. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Gholizadeh S, Kwakkenbos L, Carrier M-E, et al. Validation of the social interaction anxiety scale in scleroderma: a scleroderma patient-centered intervention network cohort study. J Scleroderma Relat Disord 2018; 3(1): 98–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Boers M, Kirwan JR, Gossec L, et al. How to choose core outcome measurement sets for clinical trials: OMERACT 11 approves filter 2.0. J Rheumatol 2014; 41(5): 1025–1030. [DOI] [PubMed] [Google Scholar]
  • 64. Ross L, Baron M, Nikpour M. The challenges and controversies of measuring disease activity in systemic sclerosis. J Scleroderma Relat Disord 2018; 3(2): 115–121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Pauling JD, Frech TM, Hughes M, et al. Patient-reported outcome instruments for assessing Raynaud’s phenomenon in systemic sclerosis: a SCTC vascular working group report. J Scleroderma Relat Disord 2018; 3(3): 249–252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Stone JH, Merkel PA, Spiera R, et al. Rituximab versus cyclophosphamide for ANCA-associated vasculitis. N Engl J Med 2010; 363(3): 221–232. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Navarra SV, Guzmán RM, Gallacher AE, et al. Efficacy and safety of belimumab in patients with active systemic lupus erythematosus: a randomised, placebo-controlled, phase 3 trial. Lancet 2011; 377(9767): 721–731. [DOI] [PubMed] [Google Scholar]
  • 68. Pope JE. The future of treatment in systemic sclerosis: can we design better trials? Lancet Rheumatol 2020; 2(3): e185–e194. [DOI] [PubMed] [Google Scholar]
  • 69. Roofeh D, Distler O, Allanore Y, et al. Treatment of systemic sclerosis–associated interstitial lung disease: lessons from clinical trials. J Scleroderma Relat Disord 2020; 5(2_suppl.): 61–71. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Scleroderma and Related Disorders are provided here courtesy of World Scleroderma Foundation, EUSTAR, and SAGE Publications

RESOURCES