Tracy J. Doyle

Subclinical Interstitial Lung Disease: Why You Should Care

The widespread use of high-resolution computed tomography in clinical and research settings has increased the detection of interstitial lung abnormalities (ILA) in asymptomatic and undiagnosed individuals. We reported that in smokers, ILA were present in about 1 of every 12 high-resolution computed tomographic scans; however, the long-term significance of these subclinical changes remains unclear. Studies in families affected with pulmonary fibrosis, smokers with chronic obstructive pulmonary disease, and patients with inflammatory lung disease have shown that asymptomatic and undiagnosed individuals with ILA have reductions in lung volume, functional limitations, increased pulmonary symptoms, histopathologic changes, and molecular profiles similar to those observed in patients with clinically significant interstitial lung disease (ILD). These findings suggest that, in select at-risk populations, ILA may represent early stages of pulmonary fibrosis or subclinical ILD. The growing interest surrounding this topic is motivated by our poor understanding of the inciting events and natural history of ILD, coupled with a lack of effective therapies. In this perspective, we outline past and current research focused on validating radiologic, physiological, and molecular methods to detect subclinical ILD. We discuss the limitations of the available cross-sectional studies and the need for future longitudinal studies to determine the prognostic and therapeutic implications of subclinical ILD in populations at risk of developing clinically significant ILD.

Interstitial Lung Abnormalities and Reduced Exercise Capacity

RATIONALE The relationship between interstitial lung abnormalities (ILA) and exercise capacity has not been comprehensively evaluated. OBJECTIVES To assess the validity of the 6-minute walk test in subjects with ILA, and to examine the association between ILA and 6-minute walk distance (6MWD). METHODS Spearman correlation coefficients were used to assess the strength of the relationships between 6MWD and relevant measures of dyspnea, health-related quality of life, and pulmonary function in a cohort of 2,416 people who smoke from the COPDGene study. Unadjusted and adjusted linear and logistic regression models were used to assess the strength of the association between ILA and 6MWD. MEASUREMENTS AND MAIN RESULTS In all subjects, and in those with ILA, 6MWD in COPDGene was associated with relevant clinical and physiologic measures. The mean 6MWD in COPDGene subjects with ILA was 386 m (SD, 128 m), and 82% and 19% of subjects with ILA had 6MWDs less than or equal to 500 and 250 m, respectively. ILA was associated with a reduced 6MWD in univariate (-30 m; 95% confidence interval, -50 to -10; P = 0.004) and multivariate models (-19 m; 95% confidence interval, -33 to -5; P = 0.008). Compared with subjects without ILA, subjects with ILA had an 80% and 77% increase in their odds to have a walk distance limited to less than or equal to 500 and 250 m, respectively. Although these findings were dependent on ILA subtype, they were not limited to those with COPD. CONCLUSIONS Our study demonstrates that ILA is associated with measurable decrements in the 6MWD of people who smoke. Clinical trial registered with www.clinicaltrials.gov (NCT 00608764).

Functional Impact of a Spectrum of Interstitial Lung Abnormalities in Rheumatoid Arthritis

BACKGROUND Approximately 10% of patients with rheumatoid arthritis (RA) have interstitial lung disease (ILD), and one-third have subclinical ILD on chest CT scan. In this study, we aimed to further characterize functional decrements in a spectrum of RA-associated ILD. METHODS All subjects were enrolled in the Brigham and Womens Hospital Rheumatoid Arthritis Sequential Study (BRASS). The presence of interstitial lung abnormalities (ILAs) on clinically indicated chest CT scans was determined using a previously validated sequential reading method. Univariate and multivariate analyses were used to assess the association between degree of ILAs and physiologic, functional, and demographic variables of interest. RESULTS Of 1,145 BRASS subjects, 91 subjects (8%) were included in this study. Twelve had radiologically severe ILAs, 34 had ILAs, and 38 had no ILAs on CT scan. Subjects with radiologically severe ILAs were older (P = .0037), had increased respiratory symptoms (cough, P = .027; dyspnea, P = .010), and more severe RA disease (rheumatoid factor, P = .018; total swollen joints, P = .046) compared with subjects with no ILAs. Participants also had a trend toward having an increased smoking history (P = .16) and having lower FVC % predicted (77% vs 94%, P = .097) and diffusion capacity of carbon monoxide % predicted (52% vs 77%, P = .068). Similar but attenuated increases in respiratory symptoms, functional decrements, and RA disease severity were observed in subjects with ILAs compared with those with no ILAs. CONCLUSIONS We have shown that patients with RA have varying degrees of ILAs that are associated with a spectrum of functional and physiologic decrements. Our findings suggest that improved risk stratification and detection of ILAs will provide a therapeutic window that could improve RA-ILD outcomes.

Detection of Rheumatoid Arthritis–Interstitial Lung Disease Is Enhanced by Serum Biomarkers

RATIONALE Interstitial lung disease (ILD), a leading cause of morbidity and mortality in rheumatoid arthritis (RA), is highly prevalent, yet RA-ILD is underrecognized. OBJECTIVES To identify clinical risk factors, autoantibodies, and biomarkers associated with the presence of RA-ILD. METHODS Subjects enrolled in Brigham and Womens Hospital Rheumatoid Arthritis Sequential Study (BRASS) and American College of Rheumatology (ACR) cohorts were evaluated for ILD. Regression models were used to assess the association between variables of interest and RA-ILD. Receiver operating characteristic curves were generated in BRASS to determine if a combination of clinical risk factors and autoantibodies can identify RA-ILD and if the addition of investigational biomarkers is informative. This combinatorial signature was subsequently tested in ACR. MEASUREMENTS AND MAIN RESULTS A total of 113 BRASS subjects with clinically indicated chest computed tomography scans (41% with a spectrum of clinically evident and subclinical RA-ILD) and 76 ACR subjects with research or clinical scans (51% with a spectrum of RA-ILD) were selected. A combination of age, sex, smoking, rheumatoid factor, and anticyclic citrullinated peptide antibodies was strongly associated with RA-ILD (areas under the curve, 0.88 for BRASS and 0.89 for ACR). Importantly, a combinatorial signature including matrix metalloproteinase 7, pulmonary and activation-regulated chemokine, and surfactant protein D significantly increased the areas under the curve to 0.97 (P = 0.002, BRASS) and 1.00 (P = 0.016, ACR). Similar trends were seen for both clinically evident and subclinical RA-ILD. CONCLUSIONS Clinical risk factors and autoantibodies are strongly associated with the presence of clinically evident and subclinical RA-ILD on computed tomography scan in two independent RA cohorts. A biomarker signature composed of matrix metalloproteinase 7, pulmonary and activation-regulated chemokine, and surfactant protein D significantly strengthens this association. These findings may facilitate identification of RA-ILD at an earlier stage, potentially leading to decreased morbidity and mortality.

The Expanding Role of Biomarkers in the Assessment of Smoking-Related Parenchymal Lung Diseases

Recent advances in the field of clinical biomarkers suggest that quantification of serum proteins could play an important role in the diagnosis, classification, prognosis, and treatment response of smoking-related parenchymal lung diseases. COPD and idiopathic pulmonary fibrosis (IPF), two common chronic progressive parenchymal lung diseases, share cigarette smoke exposure as a common dominant risk factor for their development. We have recently shown that COPD and interstitial lung disease may represent distinct outcomes of chronic tobacco use, whereas others have demonstrated that both diseases coexist in some individuals. In this perspective, we examine the potential role of peripheral blood biomarkers in predicting which individuals will develop COPD or IPF, as well as their usefulness in tracking disease progression and exacerbations. Additionally, given the current lack of sensitive and effective metrics to determine an individuals response to treatment, we evaluate the potential role of biomarkers as surrogate markers of clinical outcomes. Finally, we examine the possibility that changes in levels of select protein biomarkers can provide mechanistic insight into the common origins and unique individual susceptibilities that lead to the development of smoking-related parenchymal lung diseases. This discussion is framed by a consideration of the properties of ideal biomarkers for different clinical and research purposes and the best uses for those biomarkers that have already been proposed and investigated.

Biomarkers of Rheumatoid Arthritis–Associated Interstitial Lung Disease

Interstitial lung disease (ILD) is a relatively common extraarticular manifestation of rheumatoid arthritis (RA) that contributes significantly to disease burden and excess mortality. The purpose of this study was to identify peripheral blood markers of RA‐associated ILD that can facilitate earlier diagnosis and provide insight regarding the pathogenesis of this potentially devastating disease complication.

A Roadmap to Promote Clinical and Translational Research in Rheumatoid Arthritis-Associated Interstitial Lung Disease

Rheumatoid arthritis (RA) is a systemic inflammatory disorder affecting approximately 1.3 million adults in the United States. Approximately 10% of these individuals with RA have clinically evident interstitial lung disease (RA-ILD), and an additional one-third demonstrate subclinical ILD on chest CT scan. The risk of death for individuals with RA-ILD is three times higher than for patients with RA without ILD, with a median survival after ILD diagnosis of only 2.6 years. Despite the high prevalence and mortality of RA-ILD, little is known about its molecular features and its natural history. At present, we lack a standard validated approach to the definition, diagnosis, risk stratification, and management of RA-ILD. In this perspective, we discuss the importance of clinical and translational research and how ongoing research efforts can address important gaps in our knowledge over the next few years. Furthermore, recommendations are made to design multicenter collaborative studies that will expedite the development of clinical trials designed to decrease the significant morbidity and mortality associated with RA-ILD.

Anti-citrullinated heat shock protein 90 antibodies identified in bronchoalveolar lavage fluid are a marker of lung-specific immune responses☆

Previous work has demonstrated a correlation between serum anti-citrullinated HSP90 antibodies and rheumatoid arthritis-associated interstitial lung disease (RA-ILD). To further investigate this potential pathogenic relationship, we used ELISA-based techniques to assess anti-citrullinated HSP90 antibody profiles in bronchoalveolar lavage fluid (BALF) of patients with different stages of RA-ILD. 9/21 RA-derived BALF specimens demonstrated IgG and/or IgA antibodies targeting citrullinated HSP90 proteins/peptides, highlighting disease specific responses (with a predilection for RA-ILD) that did not occur in IPF patients (0/5) or healthy control subjects (0/5). Comparison of antibody profiles between BALF and matching serum specimens revealed various recognition patterns favoring predominant production of anti-citrullinated HSP90 antibodies within the lung microenvironment-further supporting the connection between this antibody specificity and parenchymal lung disease. Equally important, qualitative as well as quantitative differences in anti-citrullinated HSP90 profiles between BALF and serum indicate that the lung plays a direct role in shaping the immune repertoire of RA/RA-ILD.

Densitometric and local histogram based analysis of computed tomography images in patients with idiopathic pulmonary fibrosis

BackgroundPrior studies of clinical prognostication in idiopathic pulmonary fibrosis (IPF) using computed tomography (CT) have often used subjective analyses or have evaluated quantitative measures in isolation. This study examined associations between both densitometric and local histogram based quantitative CT measurements with pulmonary function test (PFT) parameters and mortality. In addition, this study sought to compare risk prediction scores that incorporate quantitative CT measures with previously described systems.MethodsForty six patients with biopsy proven IPF were identified from a registry of patients with interstitial lung disease at Brigham and Women’s Hospital in Boston, MA. CT scans for each subject were visually scored using a previously published method. After a semi-automated method was used to segment the lungs from the surrounding tissue, densitometric measurements including the percent high attenuating area, mean lung density, skewness and kurtosis were made for the entirety of each patient’s lungs. A separate, automated tool was used to detect and quantify the percent of lung occupied by interstitial lung features. These analyses were used to create clinical and quantitative CT based risk prediction scores, and the performance of these was compared to the performance of clinical and visual analysis based methods.ResultsAll of the densitometric measures were correlated with forced vital capacity and diffusing capacity, as were the total amount of interstitial change and the percentage of interstitial change that was honeycombing measured using the local histogram method. Higher percent high attenuating area, higher mean lung density, lower skewness, lower kurtosis and a higher percentage of honeycombing were associated with worse transplant free survival. The quantitative CT based risk prediction scores performed similarly to the clinical and visual analysis based methods.ConclusionsBoth densitometric and feature based quantitative CT measures correlate with pulmonary function test measures and are associated with transplant free survival. These objective measures may be useful for identifying high risk patients and monitoring disease progression. Further work will be needed to validate these measures and the quantitative imaging based risk prediction scores in other cohorts.

Intra-thoracic rheumatoid arthritis: Imaging spectrum of typical findings and treatment related complications

Non-cardiac thoracic manifestations of rheumatoid arthritis (RA) cause significant morbidity and mortality among RA patients. Essentially all anatomic compartments in the chest can be affected including the pleura, pulmonary parenchyma, airway, and vasculature. In addition, treatment-related complications and opportunistic infections are not uncommon. Accurate diagnosis of intra-thoracic disease in an RA patient can be difficult as the radiologic findings may be nonspecific and many of these conditions may coexist. This review article serves to highlight the multitude of RA-related intra-thoracic pathological processes, emphasize differential diagnosis, diagnostic conundrums and discuss how tailoring of CT imaging and image-guided biopsy plays a key role in the management of RA-related pulmonary disease.