Mycobacterium tuberculosis (M. tuberculosis) infections cause 9.0 million new tuberculosis (TB) cases and 1.5 million deaths annually1. To search for sequence variants that confer risk of TB we tested 28.3 million variants identified through whole-genome sequencing of 2,636 Icelanders for association with TB (8,162 cases and 277,643 controls), pulmonary TB (PTB), and M. tuberculosis infection. We found association of three sequence variants in the HLA class II region: rs557011[T] (MAF=40.2%) with M. tuberculosis infection (OR =1.14, P=3.1×10-13) and PTB (OR=1.25, P=5.8×10-12) and rs9271378[G] (MAF=32.5%) with PTB (OR=0.78, P=2.5×10-12), both located between HLA-DQA1 and HLA-DRB1. Finally, a missense variant p.Ala210Thr in HLA-DQA1, (MAF=19.1%, rs9272785) shows association with M. tuberculosis infection (P=9.3×10-9, OR=1.14). The association of these variants with PTB was replicated in large samples of European ancestry from Russia and Croatia (P< 5.9×10-4). These findings demonstrate that the HLA class II region contributes to the complex genetic risk of tuberculosis, possibly through reduced presentation of protective M. tuberculosis antigens to T cells.

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.

Sputum eosinophils might predict response to inhaled corticosteroids (ICS) in patients with advanced chronic obstructive pulmonary disease (COPD). Induction of sputum requires expertise and may not always be successful. Aim was to investigate correlation and predictive relationship between peripheral blood eosinophils (bEo) and sputum eosinophils (sEo), and impact of peripheral blood eosinophilia on outcome of COPD exacerbation. 120 current smokers with COPD (GOLD group C) (57.4 ± 0.92 years, M/F ratio 1.4), with no blood (≥7% or >0.43x109/L) nor sputum (≥3%) eosinophilia, were treated with moderate dose of ICS and long-acting bronchodilatator during stable disease, but systemic corticosteroids and antibiotics during exacerbation. According to sputum eosinophilia (≥4%) during exacerbation, patients were divided into eosinophilic (n=45) and non-eosinophilic group (n=75). In stable disease, bEo and sEo were similar in both groups (p>0.05). During exacerbation, bEo and sEo were significantly higher in eosinophilic group (eosinophilic vs. non-eosinophilic: blood: 1.42 ± 0.39 x109/l vs. 0.23 ± 0.02 x109/l, p<0.001; sputum: 8% (4, 19) vs. 1% (0, 3), p<0.0001), but bEo correlated with sEo in both groups (eosinophilic: r=0.52, p<0.001; non-eosinophilic: r=0.25, p<0.05). Relative bEo predicted sputum eosinophilia (area under the curve=0.71, standard error=0.05; 95% confidence interval [CI] =0.61-0.81; p<0.001) and enabled identification of the presence or absence of sputum eosinophilia in 82% of the cases at a threshold of ≥4% (specificity=83.56%, sensitivity=93.83%, positive likelihood ratio=3.67). Eosinophilic group during exacerbation showed less frequent hospitalisations and shorter exacerbation (eosinophilic vs. non-eosinophilic: hospitalisations: 26.7% vs. 60.0%, p<0.001; duration of exacerbation (days): 8.1±0.35 vs. 10.13±0.31, p<0.0001). In COPD exacerbation, relative peripheral blood eosinophils ≥4% might identify sputum eosinophilia. Blood eosinophilia indicate better outcome of COPD exacerbation. Further investigations are needed to predict eosinophilic exacerbation in COPD patients, with prior absence of sputum or blood eosinophilia.

No abstract