973 resultados para Interstitial lung disease
Resumo:
The increasing use of chest CT imaging in medical practice rises the likelihood of the general practitioner to be confronted with cases of interstitial lung disease. Respiratory bronchiolitis (RB) and respiratory bronchiolitis-associated interstitial lung disease (RB-ILD) are two smoking-related lung damages that may have important implications for the patient's management. The authors present in this paper a review of current knowledge of the epidemiology, clinical features, prognosis, and treatment options of RB and RB-ILD.
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Common variable immunodeficiency (CVID) is the most frequent primary immune deficiency. Recurrent infections are classical consequences of CVID, but their impact has been largely reduced by immunoglobulin replacement. CVID is also associated with various inflammatory and autoimmune manifestations resulting from abnormal cellular immunity. The lungs are especially affected by a recently described entity called granulomatous lymphocytic interstitial lung disease (GLILD). GLILD currently constitutes an important cause of morbidity and mortality in these patients. It is distinct from bronchiectasis secondary to recurrent infections, and presents similarities but also striking differences with sarcoidosis.
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INTRODUCTION: Urinary stress incontinence affects 10% to 30% of the female population and may have a major impact on psychosocial health. In interstitial lung disease, chronic cough may lead to development of urinary incontinence, but the prevalence and impact of this symptom are unknown. OBJECTIVES: To determine the rate and impact of urinary stress incontinence among women with chronic cough due to interstitial lung disease. METHODS: 28 female patients with chronic cough secondary to interstitial lung disease and 15 controls were evaluated by questionnaires to determine the prevalence of cough-related urinary incontinence, its severity, and its impact on quality of life. RESULTS: Cough-related urinary incontinence was present in 14/28 patients with interstitial lung disease and chronic cough (50%), but in only 1/15 controls (7%, p=0.005). On a 5-points quality of life scale, the median impact of urinary incontinence was 3 (minimum=1, maximal=5), and the median impact of chronic cough was 3.5. The majority of patients (64%) believed that incontinence was a natural phenomenon due to ageing, all were ashamed by this symptom and 79% were unable to mention it to their caring physician. Only one physician had previously addressed this issue. CONCLUSION: Cough-related urinary incontinence is common in patients with interstitial lung disease and is largely overlooked. It may significantly alter quality of life. A systematic questioning by the physician would allow to promptly refer these patients for appropriate therapeutic interventions, such as perineal training.
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Interstitial lung disease (ILD) is found in up to 30% of patients with rheumatoid arthritis (RA) and is clinically manifest in 5 to 10%, resulting in significant morbidity and mortality. The most frequent histopathological forms are usual interstitial pneumonia and nonspecific interstitial pneumonia. Another recently described presentation is combined pulmonary fibrosis and emphysema. Similarly to idiopathic pulmonary fibrosis, acute exacerbation of ILD may occur in RA and is associated with severe prognosis. Smoking is a known risk factor of RA and may also play a role in the pathogenesis of RA-associated ILD, in combination with genetic and immunologic mechanisms. Several treatments of RA may also lead to drug-induced ILD.
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Background Molecular methods based on phylogenetic differences in the 16S rRNA gene are able to characterise the microbiota of the respiratory tract in health and disease. Objectives Our goals were (1) to characterise bacterial communities in lower and upper airways of patients with interstitial lung disease (ILD) and (2) to compare the results with the microbiota of patients with Pneumocystis pneumonia (PCP) and normal controls. Methods We examined the upper and lower respiratory tract of 18 patients with ILD of whom 5, 6, and 7 had idiopathic interstitial pneumonia (IIP), non-IIP and sarcoidosis, respectively. In addition, six immune-compromised patients with PCP and nine healthy subjects were included as controls. Exclusion criteria were recent bacterial/viral respiratory tract infection, HIV-positivity and subjects receiving antibiotic therapy. Bronchoalveolar lavage fluid and oropharyngeal swabs were simultaneously collected, and microbiota was characterised by ultra-deep 16S rRNA gene sequencing. Results The microbiota in lower airways of the majority of patients (30; 90%) primarily consisted of Prevotellaceae, Streptococcaceae and Acidaminococcaceae. α and β diversity measurements revealed no significant differences in airway microbiota composition between the five different groups of patients. Comparison of bacterial populations in upper and lower respiratory tract showed significant topographical discontinuities for 7 (23%) individuals. Conclusions IIP, non-IIP and sarcoidosis are not associated with disordered airway microbiota and a pathogenic role of commensals in the disease process is therefore unlikely. Nevertheless, molecular analysis of the topographical microbiota continuity along the respiratory tract may provide additional information to assist management of individual patients.
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Over the last decade, a plethora of computer-aided diagnosis (CAD) systems have been proposed aiming to improve the accuracy of the physicians in the diagnosis of interstitial lung diseases (ILD). In this study, we propose a scheme for the classification of HRCT image patches with ILD abnormalities as a basic component towards the quantification of the various ILD patterns in the lung. The feature extraction method relies on local spectral analysis using a DCT-based filter bank. After convolving the image with the filter bank, q-quantiles are computed for describing the distribution of local frequencies that characterize image texture. Then, the gray-level histogram values of the original image are added forming the final feature vector. The classification of the already described patches is done by a random forest (RF) classifier. The experimental results prove the superior performance and efficiency of the proposed approach compared against the state-of-the-art.