Abstract
Interstitial pneumonia with autoimmune features (IPAF) characterises individuals with interstitial lung disease (ILD) and features of connective tissue disease (CTD) who fail to satisfy CTD criteria. Inclusion of myositis-specific antibodies (MSAs) in the IPAF criteria has generated controversy, as these patients also meet proposed criteria for an antisynthetase syndrome. Whether MSAs and myositis-associated antibodies (MAA) identify phenotypically distinct IPAF subgroups remains unclear.
A multicentre, retrospective investigation was conducted to assess clinical features and outcomes in patients meeting IPAF criteria stratified by the presence of MSAs and MAAs. IPAF subgroups were compared to cohorts of patients with idiopathic inflammatory myopathy-ILD (IIM-ILD), idiopathic pulmonary fibrosis and non-IIM CTD-ILDs. The primary end-point assessed was 3-year transplant-free survival.
269 patients met IPAF criteria, including 35 (13%) with MSAs and 65 (24.2%) with MAAs. Survival was highest among patients with IPAF-MSA and closely approximated those with IIM-ILD. Survival did not differ between IPAF-MAA and IPAF without MSA/MAA cohorts. Usual interstitial pneumonia (UIP) morphology was associated with differential outcome risk, with IPAF patients with non-UIP morphology approximating survival observed in non-IIM CTD-ILDs. MSAs, but not MAAs identified a unique IPAF phenotype characterised by clinical features and outcomes similar to IIM-ILD. UIP morphology was a strong predictor of outcome in others meeting IPAF criteria.
Because IPAF is a research classification without clear treatment approach, these findings suggest that MSAs should be removed from the IPAF criteria and such patients should be managed as an IIM-ILD.
Abstract
Myositis-specific antibodies identify a distinct interstitial pneumonia with autoimmune features phenotype characterised by clinical features and outcomes similar to patients with ILD due to an idiopathic inflammatory myopathy https://bit.ly/2VCmtab
Introduction
A sizeable minority of patients with interstitial lung disease (ILD) display features of a connective tissue disease (CTD), but fail to meet established CTD criteria [1–3]. Such patients are often classified as having interstitial pneumonia with autoimmune features (IPAF) after the 2015 publication of a research guideline coining the term and proposing standardised classification criteria [4]. Several groups, including ours, have characterised large IPAF cohorts and identified clinical, genetic and molecular determinants of outcomes in these patients [5–9].
Clinical, serological and morphological features comprising the IPAF criteria were selected for their association with CTD, but some criteria have been shown to more strongly predict a CTD-like disease trajectory than others [9]. These include features within the clinical domain and high-resolution computed tomography (HRCT) and surgical lung biopsy (SLB) features within the morphological domain. Data assessing the association between serological domain features and outcomes have been mixed [9, 10], but low autoantibody prevalence often precludes robust hypothesis testing. Among these autoantibodies are myositis-specific antibodies (MSAs) and myositis-associated antibodies (MAAs), which are commonly found in patients with an idiopathic inflammatory myopathy (IIM) and have variable association with inflammatory ILD [11]. Inclusion of MSAs in the IPAF criteria has generated controversy [12–15], as patients with MSAs who fail to meet established criteria for an IIM often meet proposed criteria for an anti-synthetase syndrome [16].
While there exists no gold standard confirming autoimmune disease among patients meeting IPAF criteria, subgroups with phenotypic features and outcomes similar to those with established CTD are more likely to have an occult CTD. Identifying these subgroups has treatment implications, as those with an inflammatory CTD-like phenotype may be best suited to receive immunosuppressive therapy, while antifibrotic therapy may be a better choice for those meeting IPAF criteria with a progressive fibrosing phenotype [17]. In this multicentre investigation, we assessed whether patients meeting IPAF criteria with MSAs (IPAF-MSA) or isolated MAAs without MSAs (IPAF-MAA) displayed distinct phenotypes compared to others meeting IPAF criteria without MSA/MAA. We hypothesised that IPAF-MSA and IPAF-MAA cohorts would demonstrate clinical features and outcomes similar to patients with IIM-ILD.
Methods
This investigation was conducted at the University of California at Davis (UC-Davis), University of Chicago (UChicago) and University of Texas-Southwestern (UTSW) and was approved by the institutional review board at each institution (UC-Davis protocol #875917, UChicago protocol #14163 and UTSW protocol #082010–127). ILD registries at each institution were used to identify all patients with longitudinal follow-up diagnosed with CTD-ILD or an idiopathic interstitial pneumonia (IIP). IPAF criteria were systematically applied to all patients with an IIP at each institution using methods recently described by Newton et al. [8]. A subset of patients meeting IPAF criteria from UChicago and UTSW have been characterised previously [8, 9]. MSAs were assessed at UC-Davis and UTSW using the Extended Myositis Panel (ARUP laboratories, Salt Lake City, UT, USA) and at UChicago using the MyoMarker Panel (Mayo Clinical Laboratories, Rochester, MN, USA). MSAs tested included Jo-1, PL7, PL12, EJ, OJ, Mi-2, SRP, NXP2, TIF1γ, SAE and MDA-5. Clinical assays used in our centres did not test for uncommonly encountered MSAs, including SC, JS, YRS, Zo or HMGR antibodies. MAAs assessed included SSA60, SSA52, RNP (U1, U2 and U3 subtypes), Ku and Pm/Scl [18].
The electronic medical record for all patients with IIM-ILD and IPAF-MSA was then reviewed by a rheumatologist at each institution (IBV, EJ, HS) and European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) criteria for IIM applied using available data [19]. Patients with a EULAR/ACR score ≥5.5 were classified as IIM-ILD and those with a score <5.5 were classified as IPAF-MSA, assuming another IPAF domain was satisfied. Myositis antibody testing was performed prospectively for all but six patients (due to specimen clotting) with an IIP in the UC-Davis cohort who met either the clinical or morphological domain for IPAF. Myositis antibody testing was performed at the discretion of the treating physician in the UChicago and UTSW cohorts. CTD-ILD diagnoses other than IIM-ILD were determined by local investigators at each institution and were not reviewed for the purposes of this study. Patients were then stratified into six groups: IPAF without MSA/MAA, IPAF-MSA, IPAF-MAA, IIM-ILD, non-IIM CTD-ILD and IPF.
Other pertinent data collected included HRCT and SLB morphology, which was determined by a chest radiologist and pulmonary pathologist, respectively, at each institution. Other data collected included pulmonary function testing, including forced vital capacity (FVC) and diffusing capacity of the lung for carbon monoxide (DLCO); immunosuppressant exposure, defined as treatment with mycophenolate mofetil, azathioprine, cyclophosphamide and/or rituximab; and outcomes, including death and lung transplantation. Vital status was determined using review of medical records and telephone communication with patients and family members.
Statistical analysis
Continuous variables are reported as mean±sd or median (interquartile range) and were compared using a two-tailed t-test or Mann–Whitney U-test, as appropriate. Categorical variables were reported as counts and percentages and compared using the Chi-squared test or Fisher's exact test, as appropriate. Unadjusted log rank testing along with univariable and multivariable Cox proportional hazards regression were used to assess the primary end-point of 3-year transplant-free survival, which accounted for shorter follow-up time in the UC-Davis cohort. Multivariable models were adjusted for centre, race/ethnicity, usual interstitial pneumonia (UIP) morphology on HRCT or SLB, immunosuppressant exposure and GAP (gender, age, physiology) score [20]. Survival was plotted using the Kaplan–Meier survival estimator. All statistical analyses were performed using Stata (StataCorp 2015 release 16; College Station, TX, USA).
Results
Across institutions, 1361 and 366 patients with IIP and CTD-ILD, respectively, were identified. Among those with an IIP, 770 had IPF and 269 met criteria for IPAF, including 35 (13%) patients with IPAF-MSA and 65 (24%) with IPAF-MAA (supplementary figure S1). Among those with CTD-ILD, 70 (19%) had IIM-ILD and 296 (81%) had a non-IIM CTD-ILD. When assessing baseline characteristics for IPAF subgroups (table 1), those with IPAF-MSA had a lower mean age, fewer white subjects and less UIP on HRCT and SLB when compared to those with IPAF without MSA/MAA. Except for a lower proportion of white subjects, those with IPAF-MAA were similar to those with IPAF without MSA/MAA.
When comparing IPAF cohorts across centres (supplementary table S1), substantial heterogeneity was observed with regard to age and race/ethnicity, with older subjects in the UC-Davis cohort, a higher percentage of white subjects in the UTSW cohort and a higher percentage of African Americans in the UChicago cohort. HRCT and SLB patterns also varied, with UIP predominating in the UChicago cohort and nonspecific interstitial pneumonia (NSIP) predominating in the UC-Davis and UTSW cohorts. While a higher proportion of patients received immunosuppression at UC-Davis and UTSW than UChicago, outcomes were similar across centres.
Among those meeting IPAF criteria, the most commonly encountered MSAs were anti-PL7 and anti-Mi2 (n=6 each), followed by anti-PL12 and anti-EJ (n=5 each) (table 2). Anti-MDA5 and anti-SRP positivity was observed in four patients each. Only two patients with IPAF-MSA had an anti-Jo-1 antibody, as most patients with this antibody met ACR/EULAR criteria for an IIM [19]. The most commonly observed MAAs were SSA60 (15.6%) followed by anti-RNP and SSA52 (6.3% each). An MAA was present in 60% (n=21) of patients in the IPAF-MSA cohort. 65 patients had MAAs without MSAs and comprised the IPAF-MAA cohort (table 2).
When comparing baseline characteristics, treatments and outcomes between IPAF without MSA/MAA, IPAF-MSA and IIM-ILD cohorts (table 3), those with IPAF-MSA showed more similarity with the IIM-ILD cohort than the IPAF without MSA/MAA cohort. A UIP pattern was observed in a significantly lower proportion of patients with IPAF-MSA on HRCT (14.3% versus 38.7, respectively; p=0.006) and SLB (28.6% versus 64.8%, respectively; p=0.02) than IPAF without MSA/MAA. In addition, immunosuppression was prescribed in a significantly higher proportion of patients with IPAF-MSA compared to IPAF without MSA/MAA (74.3% versus 37.3%, respectively; p<0.001) and death or transplant occurred in a significantly lower proportion of patients with IPAF-MSA compared to IPAF without MSA/MAA (5.7% versus 35.5%, respectively; p<0.001). Except for a lower mean age and shorter median follow-up time in the IPAF-MSA cohort, no significant differences were observed between the IPAF-MSA and IIM-ILD cohorts. A marginally higher percentage of patients with IIM-ILD received immunosuppression compared to IPAF-MSA.
In outcome analysis, the IIM-ILD cohort demonstrated the best overall survival, followed by the non-IIM CTD-ILD, IPAF and IPF cohorts (figure 1a). When stratifying the IPAF cohort by the presence of MSAs/MAAs, survival was similar between the IPAF-MSA/MAA and the non-IIM CTD-ILD cohorts and between the IPAF without MSA/MAA and IPF cohorts (figure 1b). Further stratification of IPAF-MSA/MAA into IPAF-MSA and IPAF-MAA cohorts showed that the IPAF-MSA cohort had survival similar to the IIM-ILD, while the IPAF-MAA cohort had survival similar to non-IIM CTD-ILDs (figure 1c).
Compared to the IPAF without MSA/MAA cohort, outcome risk was lower in the IPAF-MSA (hazard ratio (HR) 0.13, 95% CI 0.03–0.55; p=0.005), IIM-ILD (HR 0.09, 95% CI 0.03–0.30; p<0.001) and other CTD-ILDs (HR 0.37, 95% CI 0.25–0.55; p<0.001). These associations were maintained after multivariable adjustment, with IPAF-MSA and IIM-ILD showing similar effect size (table 4). Similar effect size and direction were observed for the IPAF-MSA and IIM-ILD cohorts across centres (supplementary table S2). There was no difference in outcome risk between the IPAF without MSA/MAA, IPAF-MAA and IPF cohorts in unadjusted analysis, but outcome risk was lower in the IPF cohort compared to IPAF without MSA/MAA after multivariable adjustment. When assessing individual MAAs in the IPAF-MAA cohort, survival was highest in those with an anti-SSA-52 antibody and anti-Ku antibody and lowest in those with an anti-PM/Scl antibody (p<0.001) (supplementary figure S2).
Because UIP has been shown to predict differential survival in those meeting IPAF criteria [9], UIP-stratified survival among IPAF subgroups was assessed. Outcomes were worse in the setting of UIP morphology compared to non-UIP morphology for the those with IPAF without MSA/MAA (p=0.001) (figure 2a) and those with IPAF-MAA (p=0.04) (figure 2b), but not IPAF-MSA (p=0.45) (figure 2c).
Re-stratification of the IPAF cohort into IPAF-MSA (irrespective of UIP), IPAF-UIP and IPAF without UIP identified three distinct IPAF phenotypes that approximated survival observed in IIM-ILD, IPF and CTD-ILD cohorts, respectively (figure 3). Compared to the IPAF-UIP cohort, outcome risk was significantly lower in the IPAF without UIP, IPAF-MSA, IIM-ILD and non-IIM CTD-ILD cohorts, which persisted after multivariable adjustment (table 4 and supplementary table S3). Outcome risk was similar between IPAF-UIP and IPF cohorts in unadjusted analysis, but lower in those with IPF after multivariable adjustment. When comparing the IPAF-UIP and IPF cohorts, those with IPAF-UIP were younger (65.4 versus 68.7 years, respectively; p=0.002) with lower FVC (62% predicted versus 68% pred, respectively; p=0.003) and similar DLCO (45% versus 48%, respectively; p=0.09). A significantly higher proportion of patients with IPAF-UIP were treated with immunosuppressant therapy compared to those with IPF (33.2% versus 9.5%, respectively; p<0.001).
Discussion
In this investigation, we showed that patients meeting IPAF criteria with circulating MSAs, but not MAAs, have similar clinical features and outcomes as those with IIM-ILD, making these two groups largely indistinguishable. Large majorities of both groups were treated with immunosuppressive therapy and survival was >90% during the follow-up period. These findings stand in contrast to those patients meeting IPAF criteria without MSAs or MAAs, who demonstrated survival similar to patients with IPF. However, this observation was largely driven by the presence of UIP, as patients meeting IPAF criteria with non-UIP morphology on HRCT and/or SLB demonstrated survival similar to patients with non-IIM forms of CTD-ILD irrespective of MAA status. To our knowledge, this study is among the first to assess the clinical implications of MSAs and MAAs in patients meeting IPAF criteria. Because the clinical course and treatment approaches of IPAF are poorly defined, our findings support the removal of MSAs from the IPAF criteria and suggest that those with MSA-associated ILD should be managed as IIM-ILD. Additionally, the strong association between MSAs and favourable outcome supports the acquisition of these antibodies in all patients with IIP irrespective of clinical presentation. This approach is supported by the most recent American Thoracic Society/European Respiratory Society IPF diagnostic guideline [21].
The identification of underlying CTD in patients with ILD is critical, as it informs both treatment and prognosis [22–26]. This can be difficult in practice, as a sizeable minority of patients with CTD may present with isolated ILD or subtle systemic autoimmune manifestations that are difficult to recognise [3, 27–29]. Updated diagnostic criteria for IIM were published in 2017 by EULAR/ACR [19]. Due to the low frequency of most MSAs, the EULAR/ACR criteria did not include MSAs other than anti-Jo-1, despite the strong association of four other MSAs (anti-Mi-2, anti-SRP, anti-PL-7, anti-PL-12) with IIM [19, 30]. Furthermore, these criteria failed to recognise ILD as a common manifestation of IIM, leaving the classification of patients with amyopathic, non-Jo-1 antisynthetase syndrome-associated ILD and IPAF-MSA unclear. While some have argued that the IPAF research classification has filled a vacuum left by the absence of a diagnostic classification for antisynthetase syndrome [29], IPAF represents a highly heterogeneous classification without a clear natural history or defined treatment approaches [14].
Despite significant progress in the characterisation of MSAs, the commercially available assays used for their identification are not standardised, lack harmonisation between manufactures and can suffer from low specificity [30–32]. These issues have led to concerns around cost and clinical interpretation as MSA testing has been gradually adopted by the scientific community [31, 33]. Although two different assays were used to assess MSAs in our study, the consistency of our results across institutions with regard to outcomes suggest that these differences did not bias our results. Irrespective of potential differences between MSA assays, these results add to a growing body of literature characterising MSAs and their association with the clinical phenotype of patients with IIM and ILD.
The most immediate implication of our findings stems from management of patients with IPAF-MSA. While antifibrotic therapy was shown to slow lung function decline in patients with progressive ILD [17], Huapaya et al. [34] recently showed that immunosuppressive therapy was associated with long-term disease stability in patients with IIM-ILD, with azathioprine associated with lower concurrent prednisone dose compared to mycophenolate mofetil. Given the similarities observed between IPAF-MSA and IIM-ILD, we propose that a similar treatment approach should be applied to patients with IPAF-MSA. That 75% of IPAF-MSA patients in this study were treated with immunosuppressive therapy suggests that the collective experience of pulmonologists and rheumatologists at our centres has led to a similar approach to patients with MSAs, irrespective of whether they meet criteria for IIM-ILD or IPAF. Whether this experience extends to the community setting is unknown. Because a failure to appreciate that IPAF-MSA probably represents an inflammatory, autoimmune-driven process may result in delayed treatment, we favour a unified myositis-associated ILD classification for patients with IIM-ILD and IPAF-MSA. This is supported by the findings of Scirè et al. [35], who reported that 42% of patients with MSAs meeting IPAF criteria would ultimately meet CTD criteria within 12 months.
We did not find that presence of MAAs influenced survival in patients meeting IPAF criteria, but this did appear to be MAA-dependent. No events occurred in patients with anti-SSA52 antibodies, while outcomes were poor in those with anti-PM/Scl antibodies. Our results support those published by Sclafani et al. [36], who reported similar outcomes between patients with isolated SSA52 antibodies and those with MSAs with either IIM-ILD or IPAF-MSA. The poor survival we observed in those with anti-PM/Scl antibodies was limited by small sample size, but deserves further attention. Few patients had an anti-Ku antibody, but addition of this antibody to IPAF serological domain should be considered.
While additional research is needed to identify distinct IPAF treatment groups, our data suggest that antifibrotic therapy in patients with IPAF-UIP (without MSAs) would be reasonable. This stems from our observation that those with IPAF-UIP demonstrated worse survival than a large IPF cohort. While the reason underpinning this observation remains unclear, 33% of patients with IPAF-UIP were treated with immunosuppression compared to 9% of patients with IPF. The PANTHER trial [37] showed that patients with IPF treated with immunosuppression had increased risk of death and hospitalisation, which may explain our observation. Additionally, patients with IPAF-UIP were shown to have shorter telomere length compared to those meeting IPAF criteria without UIP [8]. Adverse outcomes were significantly higher in IPF patients with short telomere length treated with immunosuppression [38], which may also explain our findings to some extent.
While UIP predominated among others meeting IPAF criteria, NSIP and/or organising pneumonia predominated in IPAF-MSA and IIM-ILD cohorts, which is consistent with previous reports [16, 39]. This may explain some of the discordance reported previously between IPAF cohorts with regard to morphological features and survival. Whereas our prior study of IPAF [9] showed a predominance of UIP and included a single patient with MSAs, these antibodies were present in 35% of the IPAF cohort characterised by Chartrand et al. [7], who showed a predominance of NSIP. Sambataro et al. [40] recently characterised a prospective IPAF cohort, which also showed NSIP to be the predominant pattern and included a higher proportion of patients with MSAs, supporting this observation. The demonstrated IPAF heterogeneity underscores the need for more precisely defined groups for whom IPAF criteria should be applied and a higher level of objectivity when applying various IPAF criteria.
Our study has a number of limitations. First, this was a retrospective investigation, limiting our conclusions to assessment of association rather than causation. In addition, our data did not allow for further assessment of the impact of immunosuppression on these IPAF subtypes given the uncontrolled nature of the study. Additionally, the use of prednisone was not captured for this study. Prednisone monotherapy is rarely used to treat patients at our centres, so prednisone use itself was likely to be collinear with dichotomised immunosuppressant exposure in our analysis. However, prednisone dose can vary in patients with IIM-ILD, so inclusion of concurrent prednisone dosage may have influenced our adjusted point estimates in table 4 to an unknown extent. Next, given the retrospective nature of this study, it was not possible to reliably ascertain the percentage of patients who developed overt IIM-ILD after initially presenting with IPAF-MSA. We did not adjust for multiple testing, so one or more of our results may have been incorrectly considered statistically significant by way of Type I error. Despite systematic application of the IPAF criteria, substantial heterogeneity was observed between centres, which probably reflects differing IIP populations to which the IPAF criteria are applied and subjectivity in the interpretation of the IPAF criteria. The consistency of results with regard to outcomes in those with IPAF-MSA suggests that this heterogeneity is not relevant with regard to this particular research question. Finally, the institutions that contributed to this effort are large ILD referral centres and patients included in these centres may not be representative of the community at large. Our regional diversity improves the generalisability of our results, but further research is needed to determine diagnostic and treatment patterns in community settings for patients meeting IPAF criteria.
Conclusions
Our findings supported the hypothesis that IPAF-MSA represents a distinct phenotype among patients meeting IPAF criteria. This phenotype was largely indistinguishable from a sizeable cohort of patients with IIM-ILD, supporting a common diagnostic classification of myositis-associated ILD and treatment approach for both groups. Prospective studies are needed to better define IPAF as a potential diagnostic classification and IIM guidelines should consider incorporating ILD into future diagnostic criteria.
Supplementary material
Supplementary Material
Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.
Supplementary material ERJ-01205-2020.Supplement
Shareable PDF
Supplementary Material
This one-page PDF can be shared freely online.
Shareable PDF ERJ-01205-2020.Shareable
Footnotes
This article has supplementary material available from erj.ersjournals.com
Conflict of interest: J. Graham has nothing to disclose.
Conflict of interest: I.B. Ventura has nothing to disclose.
Conflict of interest: C.A. Newton has nothing to disclose.
Conflict of interest: C. Lee has nothing to disclose.
Conflict of interest: N. Boctor has nothing to disclose.
Conflict of interest: J.V. Pugashetti has nothing to disclose.
Conflict of interest: C. Cutting has nothing to disclose.
Conflict of interest: E. Joerns reports grants from Pfizer, outside the submitted work.
Conflict of interest: H. Sandhu has nothing to disclose.
Conflict of interest: J.H. Chung has nothing to disclose.
Conflict of interest: C.K. Garcia reports grants from NIH (HL093096), during the conduct of the study; grants from Astra Zeneca, outside the submitted work.
Conflict of interest: M. Kadoch has nothing to disclose.
Conflict of interest: I. Noth reports personal fees for research, lectures and advisory board work from BI and Genentech, grants from NIH, HLR, Stromedix and Promedior, personal fees for adjudication committee work from Gilead/Perceptive, personal fees for lectures from PILOT CME, personal fees for lectures and advisory board work from Sunovion, outside the submitted work; and has a patent TOLLIP in IPF pending, a patent Plasma proteins in IPF issued, and a patent PBMC expression signature in IPF pending.
Conflict of interest: A. Adegunsoye reports lecturing for Boehringer Ingelheim, grants from Pulmonary Fibrosis Foundation and CHEST Foundation, outside the submitted work.
Conflict of interest: M.E. Strek reports grants, personal fees and non-financial support from Boehringer Ingelheim, grants from Novartis, outside the submitted work.
Conflict of interest: J.M. Oldham reports grants from National Institutes of Health and American College of Chest Physicians, during the conduct of the study; personal fees from Boehringer Ingelheim and Genentech, outside the submitted work.
Support statement: This work was supported by the National Heart, Lung, and Blood Institute (grant: K23HL138190, K23HL146942, K23HL148498). Funding information for this article has been deposited with the Crossref Funder Registry.
- Received January 10, 2020.
- Accepted June 28, 2020.
- Copyright ©ERS 2020