Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jaad.2025.01.002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Integrating machine learning with bioinformatics for predicting idiopathic pulmonary fibrosis prognosis: developing an individualized clinical prediction tool.
Exp Biol Med (Maywood)
January 2025
Department of Pediatric Surgery, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. Its non-specific clinical symptoms make accurate prediction of disease progression challenging. This study aimed to develop molecular-level prognostic models to personalize treatment strategies for IPF patients.
View Article and Find Full Text PDFAn overview of proactive monitoring and management of respiratory issues in ataxia-telangiectasia in a specialist and shared care pediatric clinic.
Front Pediatr
December 2024
Paediatrics and Paediatric Respirology, National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, United Kingdom.
Ataxia-telangiectasia (A-T) is an ultrarare autosomal recessive disorder and occurs in all racial and ethnic backgrounds. Clinically, children and young people with A-T are affected by sinopulmonary infections, neurological deterioration with concomitant bulbar dysfunction, increased sensitivity to ionizing radiation, immunodeficiency, a decline in lung function, chronic liver disease, endocrine abnormalities, cutaneous and deep-organ granulomatosis, and early death. Pulmonary complications become more frequent in the second decade of life and are a leading cause of death in individuals with A-T.
View Article and Find Full Text PDFEndostatin as a biomarker of systemic sclerosis: insights from a systematic review and meta-analysis.
Front Immunol
January 2025
Department of Biomedical Sciences, University of Sassari, Sassari, Italy.
Introduction: The critical role played by vascular dysfunction and ineffective angiogenesis in the pathophysiology of systemic sclerosis (SSc) suggests that circulating biomarkers reflecting these alterations may be useful in the clinical evaluation of this patient group. We sought to address this issue by conducting a systematic review and meta-analysis of studies investigating a such candidate biomarker, endostatin, an endogenous glycoprotein exerting anti-angiogenic effects, in SSc patients and healthy controls.
Methods: A literature search was conducted in the electronic databases Web of Science, PubMed, and Scopus from inception to 27 May 2024.
Evaluation of rheumatoid arthritis-associated interstitial lung disease in patients treated with JAK inhibitors: a MAJIK-SFR cohort study.
RMD Open
January 2025
Service de Rhumatologie, Hôpital Cochin, APHP-Centre Université Paris Cité, Paris, France
Objective: To examine the course of interstitial lung disease associated with rheumatoid arthritis (RA-ILD) in France on treatment with Janus kinase inhibitors (JAKis) using the MAJIK-SFR registry.
Methods: Prospective national multicentre observational study identifying patients with RA-ILD from the MAJIK-SFR registry. Pulmonary assessment data were collected at JAKi initiation and follow-up visits (6 months, 12 months and a median of 21 months postinclusion), including chest high-resolution CT (HRCT), pulmonary function tests (forced vital capacity (FVC) and diffusing capacity of the lungs for carbon monoxide (DLCO)), acute exacerbations of ILD, respiratory infections and lung cancers.
Assessing the Severity of Connective Tissue-Related Interstitial Lung Disease Using Computed Tomography Quantitative Analysis Parameters.
J Comput Assist Tomogr
November 2024
From the Department of Medical Imaging, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin City, Jiangsu Province, China.
Objectives: The aims of the study are to predict lung function impairment in patients with connective tissue disease (CTD)-associated interstitial lung disease (ILD) through computed tomography (CT) quantitative analysis parameters based on CT deep learning model and density threshold method and to assess the severity of the disease in patients with CTD-ILD.
Methods: We retrospectively collected chest high-resolution CT images and pulmonary function test results from 105 patients with CTD-ILD between January 2021 and December 2023 (patients staged according to the gender-age-physiology [GAP] system), including 46 males and 59 females, with a median age of 64 years. Additionally, we selected 80 healthy controls (HCs) with matched sex and age, who showed no abnormalities in their chest high-resolution CT.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!