CT characteristics of solid pulmonary nodules of never smokers versus smokers:A population-based study

Purpose: Aim was to assess CT characteristics of lung nodules in never and former smokers compared to current smokers in a population-based setting. Method: We included individuals aged 45–60 years taking part in the ImaLife (Imaging in Lifelines) study, with at least one solid lung nodule (≥30 mm3) on low-dose chest CT. Qualitative (location, shape, margin, nodule type, attached structures) and quantitative (count, diameter, volume) nodule characteristics were evaluated. Based on Fleischner criteria, ‘high risk’ nodules were defined. To examine the association between smoking status and nodule CT characteristics of participants, multi-level multinomial logistic regression corrected for clustering of nodules within participants was performed, where all odds ratios (aORs) were adjusted for age and sex. Results: Overall, 1,639 individuals (median age: 55.0, IQR:50.5–58.5, 50.5% men) were included, with 42.1% never smokers, 35.3% former smokers and 22.6% current smokers. A total of 3,222 solid nodules were identified; 39.7% of individuals had multiple nodules. Nodule size, location, type and attachment were similar for never compared to current smokers. The odds of nodules with an irregular shape and irregular margin was lower in never smokers (aOR:0.64, 95 %CI:0.44–0.93; aOR:0.60, 95 %CI:0.41–0.88, respectively) and former smokers (aOR:0.61, 95 %CI:0.41–0.90; aOR:0.57, 95 %CI:0.38–0.85, respectively) compared to current smokers. The odds of a detected nodule being ‘high risk’ was similar for never versus current smokers (never smokers: aOR = 0.90; 95% CI:0.73–1.11). Conclusions: CT-based characteristics of solid lung nodules in never and former smokers differed only slightly from current smokers. Among individuals with solid nodules, ‘high-risk’ nodules were equally common in never smokers and current smokers

Plasma lipid profiles discriminate bacterial from viral infection in febrile children

Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection are often non-specific, and there is no definitive test for the accurate diagnosis of infection. The 'omics' approaches to identifying biomarkers from the host-response to bacterial infection are promising. In this study, lipidomic analysis was carried out with plasma samples obtained from febrile children with confirmed bacterial infection (n = 20) and confirmed viral infection (n = 20). We show for the first time that bacterial and viral infection produces distinct profile in the host lipidome. Some species of glycerophosphoinositol, sphingomyelin, lysophosphatidylcholine and cholesterol sulfate were higher in the confirmed virus infected group, while some species of fatty acids, glycerophosphocholine, glycerophosphoserine, lactosylceramide and bilirubin were lower in the confirmed virus infected group when compared with confirmed bacterial infected group. A combination of three lipids achieved an area under the receiver operating characteristic (ROC) curve of 0.911 (95% CI 0.81 to 0.98). This pilot study demonstrates the potential of metabolic biomarkers to assist clinicians in distinguishing bacterial from viral infection in febrile children, to facilitate effective clinical management and to the limit inappropriate use of antibiotics

Plasma lipid profiles discriminate bacterial from viral infection in febrile children

Fever is the most common reason that children present to Emergency Departments. Clinical signs and symptoms suggestive of bacterial infection ar

Bronchiectasis in Severe Asthma: Does It Make a Difference?

Background: Asthma and bronchiectasis are 2 heterogeneous diseases that frequently coexist, particularly in severe asthma. Recognition of this co-diagnosis may importantly affect treatment decisions and outcome. Previous studies in asthma with bronchiectasis show inconsistent outcomes, probably due to the heterogeneity of the included asthma cohorts. Objectives: We hypothesized that bronchiectasis contributes to asthma severity and that patients with severe asthma and bronchiectasis present with distinct characteristics resulting in different treatable traits. In addition, we explored whether bronchiectasis in severe asthma is more common in a specific phenotype. Methods: This is a single-center study consecutively including patients with severe asthma from a tertiary referral center. Severe asthma was diagnosed according to the ATS/ERS guidelines. Asthma and infectious exacerbations were defined by the attending specialist as respiratory symptoms requiring treatment with systemic steroids or antibiotics, respectively. Two independent blinded radiologists evaluated each CT. Results: 19% of patients with severe asthma showed bronchiectasis on CT. Patients with bronchiectasis had a lower FEV1% predicted (p = 0.02) and FEV1/FVC (p = 0.004) and more infectious exacerbations (p = 0.003) compared to patients without bronchiectasis. Bronchiectasis is more common in patients with a longer duration of asthma, sensitization to A. fumigatus or a positive sputum culture. Sputum cultures of patients with severe asthma and bronchiectasis revealed more P. aeruginosa, S. maltophilia, H. parainfluenzae, and A. fumigates compared to the non-bronchiectasis group. The adult-onset, eosinophilic asthma phenotype showed the highest prevalence of bronchiectasis (29.4%). Conclusions: Patients with severe asthma and coexisting bronchiectasis were found to represent a distinct group, in terms of disease severity, microbiology, and asthma phenotype. Performing (HR)CT and sputum cultures can help to identify these patients. These results can possibly contribute to early recognition and targeted treatment of this patient group

Relationship between biomarkers and findings on low-dose computed tomography in hospitalised patients with acute exacerbation of COPD

Background Acute exacerbations of COPD (AECOPD) and community acquired pneumonia (CAP) often coexist. Although chest radiographs may differentiate between these diagnoses, chest radiography is known to underestimate the incidence of CAP in AECOPD. In this exploratory study, we prospectively investigated the incidence of infiltrative changes using low-dose computed tomography (LDCT). Additionally, we investigated whether clinical biomarkers of CAP differed between patients with and without infiltrative changes. Methods Patients with AECOPD in which pneumonia was excluded using chest radiography underwent additional LDCT-thorax. The images were read independently by two radiologists; a third radiologist was consulted as adjudicator. C-reactive protein (CRP), procalcitonin (PCT), and serum amyloid A (SAA) at admission were assessed. Results Out of the 100 patients included, 24 had one or more radiographic abnormalities suggestive of pneumonia. The interobserver agreement between two readers (Cohen's kappa) was 0.562 (95% CI 0.371-0.752; p Conclusion LDCT can detect additional radiological abnormalities that may indicate acute-phase lung involvement in patients with AECOPD without infiltrate(s) on the chest radiograph. Despite CRP, PCT and SAA being significantly higher in the group with radiological abnormalities on LDCT, they proved unable to reliably detect or exclude CAP. Further research is warranted

Evolution of high-resolution CT-scan in systemic sclerosis-associated interstitial lung disease: Description and prognosis factors

International audienceObjective: The aims of our study were to describe the evolution of interstitial lung disease (ILD) extent on HRCT scan in systemic sclerosis (SSc), to identify baseline prognostic factors associated with ILD evolution and to assess whether the evolution of pulmonary function tests (PFTs) correlated with this evolution.Methods: 58 SSc with ILD (SSc-ILD) patients were included. All HRCT scans and PFTs available were collected. We modelized PFTs and HRCT scans evolution using linear mixed model with random effect.Results: Patients underwent a median number of 3 HRCT scans (total n = 203) and 5 PFTs (total n = 329), during a mean follow-up of 5.3 ± 4.9 years. Mean SSc duration was 2.5 ± 3.1 years at the diagnosis of ILD. Mean baseline ILD extent was 32.3 ± 28.7%. We found a significant mean progression of ILD extent on serial HRCT scans of 0.92 ± 0.36% per year (p = 0.018). Male sex, diffuse cutaneous SSc (dcSSc), presence of anti-topoisomerase 1 antibodies, a higher DLCO, limited ILD and a low coarseness score at baseline in bivariate analysis, and presence of antitopoisomerase 1 antibodies and a coarseness score of 0 in multivariate analysis, were associated with faster progression of ILD extent over time There was a significant correlation between the progression of ILD extent and the decline of DLCO but only a trend for FVC. ILD extent at baseline and during follow-up was associated with survival.Conclusion: Male sex, dcSSc, anti-topoisomerase 1 antibodies and a less severe ILD at baseline were associated with a faster progression of ILD over time. Evolution of DLCO significantly correlated with change in ILD extent on HRCT scan. Our study helps defining the profile of patients at risk of experiencing a progression of ILD on HRCT scans