Interstitial lung disease (ILD) induces overwhelming morbidity and kills more patients with connective tissue disease (CTD) than any other CTD-related manifestation. [1–5] Because of this, there is a keen and growing interest in the rheumatology and pulmonary communities to identify prognostic variables for CTD-associated ILD (CTD-ILD). Treatment options for patients with ILD, idiopathic as well as those associated with CTD-ILD are limited. Determining prognosis is important, especially when considering therapeutic options such as lung transplantation as well as monitoring response to therapy.
High resolution computed tomography (HRCT) plays a central role in the diagnostic evaluation of patients with interstitial lung diseases. [6] Furthermore, features such as honeycombing and severity of fibrosis can both serve as diagnostic surrogates for surgical lung biopsy as well as predict the risk of subsequent mortality for patients with idiopathic interstitial pneumonias (IIP). [7–9] Less is published regarding the prognostic characteristics of features seen on HRCT in patients with CTD-ILD; diseases that often have a better prognosis compared to patients with IIP [10 11] and where surgical lung biopsy is less often performed.
In this issue, Walsh and colleagues evaluated the ability of radiographic and pulmonary function characteristics to predict subsequent prognosis in patients with CTD-ILD. [12] They included a relatively large and diverse study population consisting of 168 patients with a variety of connective tissue diseases such as rheumatoid arthritis (n=39), systemic sclerosis (n=32), mixed connective tissue disease (n=33), polymositis (n=33), systemic lupus erythematosis (n=17), and Sjogren’s disease (n=14). Fifty-one patients had surgical lung biopsy available for evaluation.
The initial radiographic assessment was rigorous and complex. HRCTs were scored by two experienced thoracic radiologists for the presence of ground glass opacification, reticulation, honeycombing, consolidation and extent of traction bronchiectasis. Each feature was scored at six specified levels. At each of these levels the extent of disease pattern was estimated to the nearest 5% and summed to 100%. Traction bronchiectasis was scored semi-quantitatively as 0 – none, 1 – mild (borderline traction bronchiectasis), 2 – moderate (definite traction bronchiectasis but not severe) and 3 – severe. If the estimated total disease extent differed by more than 5% or traction bronchiectasis score differed by more than one point the radiologist reviewed the case to reach a consensus. The radiologists also calculated scores for overall total disease extent, disease extent for each pattern, and traction bronchiectasis.
Similar to what has been reported with IIP, radiographic features in CTD-ILD also predicted survival with extent of honeycombing, traction bronchiectasis and diffusion capacity for carbon monoxide all remaining significant in multivariable analysis. As above, the HRCT scores were derived by expert radiologists who met by consensus to resolve discrepancies. The requirement for the detailed scoring performed in this study would certainly limit the applicability of these data in general practice. Fortunately the investigators also evaluated a simple binary score for presence/absence of honeycombing and traction bronchiectasis. In multivariable analysis these binary scores were also significant with the presence of traction bronchiectasis (HR 4.0, 95% CI 1.19, 13.38, p=0.001), honeycombing (HR 2.87, 95% CI 1.53, 5.43, p=0.022) and diffusion capacity all remaining significant predictors of increased risk of subsequent mortality. The prognostic strength of binary scores was preserved on subgroup analysis where each type of CTD subgroup was removed from the remaining cohort – this lends strength that no single CTD was driving the results and these are likely generalizable across the CTDs present in the study.
Investigators also evaluated the concordance of HRCT diagnostic category (usual interstitial pneumonia, UIP, indeterminate, and fibrotic nonspecific interstitial pneumonia, NSIP) with histopathologic pattern in a subgroup of 51 patients. Similar to published results in IIP [7 13] the concordance of a HRCT pattern of UIP with histologic pattern of UIP was excellent while HRCT patterns of indeterminate or NSIP showed both NSIP and UIP at biopsy. These results extend previously published findings [[14] and highlight that in patients with both IIP and CTD-ILD a HRCT pattern of UIP is highly predictive of a pattern of UIP at surgical lung biopsy while the predictive ability of HRCT to accurately define other histopathologic a patterns, such as NSIP, are lacking.
The impact of radiographic disease category alone and combined with surgical lung biopsy patterns was also evaluated. Interobserver agreement for determining HRCT pattern was good with a weighted kappa of 0.74. Similar to IIPs [7 13] the radiographic pattern of UIP conferred an increased risk of mortality compared to patterns of indeterminate or NSIP. This finding also held when looked at in a subgroup that had surgical lung biopsy information with patients that showed concordant UIP (biopsy and HRCT UIP) having worse prognosis than discordant (incongruent biopsy and HRCT patterns) which were in turn worse than concordant NSIP.
In another analysis of 215 SSc patients from the same group followed for 10 years, [15] baseline PFTs and total lung involvement on HRCTs were predictive of mortality risk. An increased extent of disease (as defined by presence of ground glass opacity, fibrosis or bronchiectasis) on HRCT >20% associated with an increase in mortality (HR 2.48, P< 0.0005). Patients with a decreased baseline FVC <70% also had increased mortality risk (HR 2.11, P=0.001). When the two modalities were combined in the risk assessment, patients with HRCT extent of ≥10% in addition to a FVC <70% had the highest mortality risk (HR 3.46, P< 0.0005). It is surprising that the authors did not look at staging system combining HRCT and pulmonary physiologic parameters in the current work.
The authors do not provide the disease duration of the CTD. At least in SSc, ILD occurs early in the disease (usually within the first 5–6 years). Analysis from the Scleroderma Lung Study-1, a multi-center, double-blind, randomized controlled study to evaluate the effectiveness and safety of oral cyclophosphamide administered for one year in 158 patients with early symptomatic SSc-ILD who had evidence of active alveolitis either by analysis of BAL (≥3% neutrophils and/or ≥2% eosinophils ) and/or thoracic HRCT (any ground glass opacification) found that the most common HRCT findings in SSc-related ILD were reticulation (93%), ground glass opacities (90%), and honeycombing (37%). [16] The extent of fibrosis seen on baseline HRCT scan was predictive of the progressive rate of decline in FVC in subjects not receiving active treatment, [17] as well as the response to cyclophosphamide therapy. [18] Patients with the most extensive fibrosis seen on baseline HRCT scans responded the greatest to CYC treatment. [19] Both in the Scleroderma Lung Study and current study, ground glass opacities were not predictive of decline in FVC% or DLCO% predicted [17] and survival, respectively. The current study does not provide data on immunosuppressive treatment provided to the patients or impact of treatment of stabilization of ILD or survival.
In summary the study by Walsh and colleagues demonstrates that much of what we know about the prognostic ability of HRCT for patients with IIP also applies to patients with CTD-ILD. A radiographic pattern of UIP confers a high likelihood of finding a pattern of UIP at biopsy and portents a worse prognosis compared to HRCT patterns that are indeterminate or show NSIP. It also appears that the simple presence of traction bronchiectasis, a marker of contraction and fibrosis, may be the single most important HRCT feature in determining prognosis.
Acknowledgments
Dr. Khanna was supported by the NIH/NIAMS K24AR063120-02
Dr. Flaherty was supported by NIH/NHLBI T32HL00749, K24PA10-061, R01HL091743, RC2 HL101740-01, P50 HL107177, U01 HL105371
Contributor Information
Kevin R Flaherty, University of Michigan, Department of Internal Medicine, Division of Pulmonary/Critical Care Medicine, Ann Arbor, MI USA.
Dinesh Khanna, University of Michigan, Department of Internal Medicine, Division of Rheumatology, Ann Arbor, MI USA.
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