Daily Respiratory Research Analysis
Three impactful respiratory studies stand out today: a UK Biobank cohort reveals synergistic risks between high air pollution, smoking, and genetic predisposition for major chronic respiratory diseases; Croatia reports the EU’s first fully integrated, AI-assisted national lung cancer screening program; and a meta-analysis shows high-intensity interval training improves asthma control and quality of life without changing spirometry or airway inflammation.
Summary
Three impactful respiratory studies stand out today: a UK Biobank cohort reveals synergistic risks between high air pollution, smoking, and genetic predisposition for major chronic respiratory diseases; Croatia reports the EU’s first fully integrated, AI-assisted national lung cancer screening program; and a meta-analysis shows high-intensity interval training improves asthma control and quality of life without changing spirometry or airway inflammation.
Research Themes
- Environmental risk interactions and precision prevention in chronic respiratory disease
- Nationwide lung cancer screening implementation leveraging AI and primary care
- Exercise-based nonpharmacologic interventions in asthma management
Selected Articles
1. Air pollution exposure modes, smoking and genetic risk with chronic respiratory diseases: a prospective study.
Using latent class analysis in the UK Biobank, this cohort study identified a “High air pollution” exposure mode associated with increased risks of lung cancer, IPF, COPD, and asthma. Strong additive interactions with smoking were observed, and combined smoking and air pollution accounted for over 40% of lung cancer, IPF, and COPD cases, with amplified risk among those with high genetic predisposition.
Impact: This study quantifies real-world combined environmental and behavioral risks with genetic predisposition for multiple chronic respiratory diseases, informing precision prevention and policy.
Clinical Implications: Prioritize smoking cessation and air quality interventions for individuals in high exposure modes, especially those with elevated polygenic risk; integrate exposure pattern assessment into respiratory disease prevention and screening strategies.
Key Findings
- High air pollution exposure mode increased risk: LC HR 1.28, IPF HR 1.23, COPD HR 1.28, asthma HR 1.09.
- Significant additive interactions between high air pollution and smoking for LC and COPD.
- Combined smoking and high air pollution explained >40% of LC, IPF, and COPD cases.
- RERI with high genetic risk plus smoking and high pollution: LC 2.74, IPF 3.93, COPD 1.68.
Methodological Strengths
- Large, prospective cohort leveraging UK Biobank with latent class analysis to model real-world exposure patterns.
- Comprehensive interaction analyses across environmental, behavioral, and genetic risks using Cox models.
Limitations
- Observational design with potential residual confounding and exposure misclassification.
- Generalizability may be limited outside the UK Biobank population; follow-up duration not specified in the abstract.
Future Directions: Validate exposure modes in diverse populations, integrate personal monitoring and polygenic risk into risk tools, and test targeted prevention (e.g., smoking cessation plus air quality improvements) in high-risk groups.
Previous studies often focused on single pollutant source, failing to replicate real-world exposure scenarios for chronic respiratory disease (CRD) risk. We aimed to explore the mixed exposure patterns of CRD risk factors and investigate interactions with smoking and genetic risk. We identified air pollution exposure modes using latent class analysis (LCA) in the UK Biobank. Cox model assessed associations between exposure modes and lung cancer (LC), idiopathic pulmonary fibrosis (IPF), chronic obstructive pulmonary disease (COPD) and asthma. Interactions among exposure modes, smoking and genetic risk were analyzed. LCA divided participants into five groups, and hazard ratios (HRs) for "High air pollution" group were 1.28 for LC (95% CI: 1.08-1.52), 1.23 for IPF (95% CI: 1.03-1.48), 1.28 for COPD (95% CI: 1.17-1.39) and 1.09 for asthma (95% CI: 1.01-1.18). Significant additive interactions between high air pollution and smoking were observed for LC and COPD. Individuals with high genetic risk exposed to both smoking and high air pollution showed the relative excess risk due to interaction (RERI) of 2.74 for LC, 3.93 for IPF, and 1.68 for COPD. Smoking and air pollution together accounted for over 40% of LC, IPF and COPD cases. Our findings highlight the complex interplay between environmental air pollution, smoking, and genetic risk in CRD development in real-world exposure scenarios.
2. Design of the first national lung cancer screening program in the European Union: the Croatian Model.
Croatia implemented the EU’s first fully integrated, reimbursed national lung cancer screening program with LDCT, AI-assisted volumetrics, modified I-ELCAP criteria, and GP-centered recruitment. Over 50,000 participants were screened with a 4.5% positive rate, demonstrating feasibility, scalability, and equity within a public healthcare system.
Impact: This is a real-world template for scaling LDCT lung cancer screening across EU systems, integrating AI and primary care, with potential to reduce mortality and standardize workflows.
Clinical Implications: Health systems can model GP-centered referral, AI volumetrics, and digital pathways to scale equitable LDCT screening; linked smoking cessation is essential to maximize population benefit.
Key Findings
- Nationwide LDCT screening implemented with AI-assisted volumetric analysis and modified I-ELCAP criteria.
- Over 50,000 participants and >70,000 LDCT scans between Oct 2020 and Aug 2025.
- Positive result rate of 4.5%, with full reimbursement and system-wide digital integration.
- General practitioners played a central role in identifying and referring high-risk individuals.
Methodological Strengths
- Nationwide scale with end-to-end digital workflow and integration into existing public healthcare infrastructure.
- Incorporation of AI volumetric analysis and standardized nodule management (modified I-ELCAP).
Limitations
- Observational implementation report without randomized comparison or mortality outcome data yet.
- Positive rate reported; downstream diagnostic yield, stage shift, and cost-effectiveness analyses are pending.
Future Directions: Report stage distribution, interval cancers, mortality reduction, and cost-effectiveness; validate AI volumetrics across vendors; share interoperable workflows for EU replication.
OBJECTIVES: To address Croatia's high lung cancer mortality and late-stage diagnoses, the Ministry of Health initiated a multidisciplinary effort to design a national lung cancer screening program. MATERIALS AND METHODS: Lung cancer remains one of the leading causes of cancer-related mortality both globally and in Croatia. In 2021 alone, Croatia recorded over 3300 new cases of lung cancer and more than 2800 associated deaths, indicating a high mortality burden. In response to this public health concern, the Ministry of Health has established a multidisciplinary Lung Cancer Screening Working Group, tasked with developing a national screening approach. The Program incorporates several innovative elements, including the application of modified International Early Lung Cancer Action Program (I-ELCAP) criteria for nodule management, volumetric analysis assessed by artificial intelligence, complete digitalization, smoking cessation, and nationwide deployment to ensure equitable access. RESULTS: From October 2020 to August 2025, over 50,000 participants were screened, resulting in more than 70,000 LDCT scans performed. The cohort includes 54% male and 46% female participants, with an average age of 62 years. Among these participants, 4.5% had positive results, which required further follow-up. CONCLUSION: The Croatian National Lung Cancer Screening Program offers unique features as it has been comprehensively incorporated into the existing healthcare infrastructure and is fully reimbursed. A key aspect of the program is the important role assigned to general practitioners (GPs), who are responsible for identifying and referring individuals at high risk for lung cancer. KEY POINTS: Question No European Union country has implemented a national lung cancer screening program despite evidence from previous trials showing significant mortality reduction. Findings Croatia successfully launched a fully integrated national lung cancer screening program using LDCT, AI-assisted volumetric analysis, modified I-ELCAP criteria, and GP-centered recruitment. Clinical relevance The Croatian model demonstrates the feasibility of national lung cancer screening within a European public healthcare system with full reimbursement, providing a replicable framework for other EU countries implementing lung cancer screening programs.
3. HIGH-INTENSITY INTERVAL TRAINING IN ADULTS WITH ASTHMA: SYSTEMATIC REVIEW AND META-ANALYSIS.
This PRISMA-compliant meta-analysis of RCTs found that HIIT improves asthma control, asthma-related quality of life, and aerobic capacity in adults, with benefits in control and quality of life maintained at one-year follow-up. There were no significant effects on spirometric measures or airway inflammation.
Impact: Provides evidence to incorporate structured HIIT as an adjunct to standard asthma care, targeting symptom control and quality of life.
Clinical Implications: Clinicians can safely consider supervised HIIT to improve asthma control and quality of life; expectations should be set that spirometry and inflammation may not change.
Key Findings
- HIIT significantly improved asthma control and asthma-related quality of life versus control in the short term.
- Aerobic capacity improved with HIIT; benefits in control and quality of life persisted at one-year follow-up.
- No significant between-group differences in lung function or airway inflammation in short- or long-term analyses.
Methodological Strengths
- PRISMA-guided systematic review focusing on randomized controlled trials.
- Includes long-term follow-up analyses up to one year.
Limitations
- Small number of RCTs (n=4; 3 in meta-analysis) and potential heterogeneity in HIIT protocols.
- Lack of significant changes in lung function and airway inflammation limits mechanistic insight.
Future Directions: Larger multicenter RCTs with standardized HIIT protocols, mechanistic endpoints (e.g., airway hyperresponsiveness, biomarkers), and cost-effectiveness analyses.
BACKGROUND: Asthma is a chronic respiratory disease that affects about 300 million people worldwide. Recently, high-intensity interval training (HIIT) has been explored as a therapeutic option in asthma. OBJECTIVE: To analyze and update the effectiveness of HIIT in adults with asthma. METHODS: This systematic review followed PRISMA guidelines. The search was conducted in 5 databases from their inception to November 2024. We included randomized clinical trials adults with asthma who underwent a HIIT intervention, compared to a control group (CG)/other types of exercise. Methodological quality, certainty of evidence and risk of bias were assessed. RESULTS: Four studies were included in the review and three were included in the meta-analysis. Meta-analysis results showed significant differences in favor of HIIT in asthma control, asthma-related quality of life and aerobic capacity in the short term compared to CG. HIIT showed significant differences at long-term follow-up in asthma control and asthma quality of life compared to CG. The meta-analysis did not show significant differences between groups regarding lung function or airway inflammation in the short or the long term. CONCLUSION: HIIT improved asthma control, asthma-related quality of life and aerobic capacity in adults with asthma compared to CG. These improvements were also found after a one-year follow-up for asthma control and asthma-related quality of life.