Delphi-Based Consensus on Interstitial Lung Disease Screening in Patients with Connective Tissue Diseases (Croatian National-Based Study).
Mislav RadicSrđan NovakMarko BarešićAna HećimovićDijana PerkovićJasna Tekavec-TrkanjecMiroslav MayerVišnja PrusJadranka Morović-VerglesDaniela Marasović KrstulovićMislav CerovecLjiljana Bulat KardumMiroslav SamaržijaBranimir AnićPublished in: Biomedicines (2022)
The aim of this study was to develop a Croatian Delphi-based expert consensus for screening interstitial lung disease (ILD) associated with connective tissue disease (CTD). A systematic literature review was conducted on risk factors for the development of ILD, prevalence and incidence of ILD, diagnostic and screening methods for ILD, and prognosis of ILD in idiopathic inflammatory myopathy (IIM), mixed connective tissue disease (MCTD), primary Sjögren's syndrome (pSS), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and systemic sclerosis (SSc) were performed. Based on the evidence found, experts developed questionnaires for screening and monitoring ILD in each CTD, which were provided via an online survey. Following the electronic survey, two screening algorithms were developed based on the consensus opinions. The detection strategy for ILD included high-resolution computed tomography (HRCT) in addition to pulmonary function testing for IIM, MCTD, and SSc. and pulmonary function testing for newly diagnosed pSS, RA and SLE. However, in patients with identified risk factors for ILD HRCT, these tests should also be performed. A screening strategy for early identification of patients with various CTD-ILD was first developed by a multidisciplinary team of rheumatologists, pulmonologists, and radiologists to identify early CTD patients at risk of ILD, a severe extra-articular manifestation of CTD.
Keyphrases
- interstitial lung disease
- systemic sclerosis
- rheumatoid arthritis
- disease activity
- systemic lupus erythematosus
- idiopathic pulmonary fibrosis
- computed tomography
- newly diagnosed
- risk factors
- machine learning
- oxidative stress
- ankylosing spondylitis
- clinical practice
- magnetic resonance
- late onset
- positron emission tomography
- high speed
- bioinformatics analysis