Clinical algorithms for the diagnosis and prognosis of interstitial lung disease in systemic sclerosis

https://doi.org/10.1016/j.semarthrit.2017.03.019Get rights and content

Abstract

Introduction

Interstitial lung disease (ILD) is currently the primary cause of death in systemic sclerosis (SSc). Thoracic high-resolution computed tomography (HRCT) is considered the gold standard for diagnosis. Recent studies have proposed several clinical algorithms to predict the diagnosis and prognosis of SSc-ILD.

Objective

To test the clinical algorithms to predict the presence and prognosis of SSc-ILD and to evaluate the association of extent of ILD with mortality in a cohort of SSc patients.

Methods

Retrospective cohort study, including 177 SSc patients assessed by clinical evaluation, laboratory tests, pulmonary function tests, and HRCT. Three clinical algorithms, combining lung auscultation, chest radiography, and percentage predicted forced vital capacity (FVC), were applied for the diagnosis of different extents of ILD on HRCT. Univariate and multivariate Cox proportional models were used to analyze the association of algorithms and the extent of ILD on HRCT with the risk of death using hazard ratios (HR).

Results

The prevalence of ILD on HRCT was 57.1% and 79 patients died (44.6%) in a median follow-up of 11.1 years. For identification of ILD with extent ≥10% and ≥20% on HRCT, all algorithms presented a high sensitivity (>89%) and a very low negative likelihood ratio (<0.16). For prognosis, survival was decreased for all algorithms, especially the algorithm C (HR = 3.47, 95% CI: 1.62–7.42), which identified the presence of ILD based on crackles on lung auscultation, findings on chest X-ray, or FVC <80%. Extensive disease as proposed by Goh et al. (extent of ILD > 20% on HRCT or, in indeterminate cases, FVC < 70%) had a significantly higher risk of death (HR = 3.42, 95% CI: 2.12–5.52). Survival was not different between patients with extent of 10% or 20% of ILD on HRCT, and analysis of 10-year mortality suggested that a threshold of 10% may also have a good predictive value for mortality. However, there is no clear cutoff above which mortality is sharply increased.

Conclusion

Clinical algorithms had a good diagnostic performance for extents of SSc-ILD on HRCT with clinical and prognostic relevance (≥10% and ≥20%), and were also strongly related to mortality. Non-HRCT-based algorithms could be useful when HRCT is not available. This is the first study to replicate the prognostic algorithm proposed by Goh et al. in a developing country.

Introduction

Systemic sclerosis (SSc) is a multisystem autoimmune disease of complex etiopathogeny, characterized by the presence of autoantibodies and interplay between three main components: vascular dysfunction, dysregulation of innate and adaptive immunity, and excessive activation of fibroblasts and related cells, resulting in the development of progressive tissue fibrosis [1], [2], [3]. Interstitial lung disease (ILD) is one of the most frequent visceral manifestations and is, currently, the leading cause of disease-related deaths (35% in the largest study to date) [4], [5], [6]. In early autopsy studies, nearly 100% of patients have parenchymal involvement [7]. As many as 50–90% of patients will have interstitial abnormalities on high-resolution computed tomography (HRCT) [8], [9] and 30–75% will have changes in pulmonary function tests [10]. Currently, HRCT is considered the standard method for the noninvasive diagnosis of SSc-ILD [8], [11]. When analyzed in conjunction with the pulmonary function tests, HRCT defines the staging of disease and assists in determining the appropriate therapeutic approach [12], [13].

Several authors have worked to establish and validate clinical algorithms that can predict the diagnosis and estimate prognosis of SSc-ILD [8], [14], [15]. A Canadian group [14] developed a set of clinical decision rules (combining findings of physical examination, chest radiography, and pulmonary function tests) to identify patients with high probability of ILD on HRCT. Goh et al. developed an algorithm, integrating disease extent on HRCT and spirometry, that had good performance in predicting the risk of death related to ILD in English SSc patients [15], which was also validated in Australian patients [16]. This simple classification system showed significant clinical relevance as a prognostic predictor in SSc-ILD, characterizing a subgroup of patients with extensive pulmonary involvement, higher mortality, and lower progression-free survival [15], [16]. In the concept of personalized medicine, these algorithms may help to stratify patients according to their individual risk of progression of ILD [17]. In this study, we aim to evaluate the performance of these clinical algorithms in a cohort of SSc patients from Southern Brazil.

Section snippets

Patients and study design

A total of 188 consecutive patients with SSc were prospectively evaluated between April 2000 and November 2009. All patients were Brazilian and the great majority inhabitants of the urban area of Porto Alegre, RS. To be included, the patient was required to meet the 1980 American College of Rheumatology (ACR) criteria for SSc [18] or the criteria suggested by LeRoy and Medsger [19] for diagnosis of early forms of SSc. Patients with overlapping syndromes were excluded. However, patients with

Patient characteristics

Out of 188 patients evaluated initially, six were excluded for not meeting inclusion criteria. One patient was excluded after diagnosis of chronic hypersensitivity pneumonia, confirmed by lung biopsy. Of these 181 SSc patients, 4 had no HRCTs, a remaining total of 177 patients followed by a median of 11.1 years (ranging from 17 days to 16.2 years), whose characteristics are described in Table 1.

HRCTs assessment

Of the 177 patients, 57.1% presented ILD on HRCT. Among the patients with ILD, median extent of

Discussion

The importance of ILD as a major cause of morbidity and mortality has been increasingly recognized [30]. In the present study, which followed a cohort of 177 SSc patients for up to 16 years and included 79 deaths, we demonstrated that mortality was strongly associated to diagnosis and severity of ILD.

The prevalence of ILD in our SSc cohort was 57.1%. This estimate is consistent with the literature, despite the wide variability reported for several authors (reaching values as high as 91%) [8],

Conclusions

The diagnosis and severity of ILD were associated with mortality in this cohort of SSc patients of Southern Brazil. Our results in general confirms previous evidence suggesting that an extent around 10–20% may be a reasonable threshold for defining a clinically significant ILD on HRCT, although there is no clear cutoff point above which a steep increase in the risk of death is observed. We also demonstrated that the algorithms proposed of Steele et al. [14] had a good diagnostic performance to

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