Thorax

Background Exposure to environmental tobacco smoke (ETS) negatively affects children`s health, but few studies examined parental smoking behaviour in families of children with respiratory diseases. We studied parental smoking prevalence, characteristics, and changes over one year among families in the Swiss Paediatric Airway Cohort (SPAC). Methods We included children aged 0-17 years referred to paediatric respiratory outpatient clinics in Switzerland from 2017 to 2024. Parents answered a questionnaire at the initial clinic visit and again after one year. We used multivariable logistic regression to explore the characteristics of mothers and fathers who smoked and assessed changes in smoking behavior over one year. Results Among 4,199 children (median age 9 years [IQR 5-12]), 31% were exposed to parental smoking at baseline (paternal smoking: 16%; maternal smoking: 6%; both parents smoking: 9%). Mothers were more likely to smoke if they had a lower education level (OR 2.0, 95%CI 1.6-2.5 for compulsory education vs university education), did not have Swiss nationality (OR 1.3, 1.0-1.6) and lived in a socially disadvantaged neighborhood (OR 1.3, 1.0-1.7). Similar associations were observed for fathers. In addition, fathers were more likely to smoke if they were unemployed (OR 2.0, 1.3-3.2 vs having a full-time job. The strongest predictor of smoking was having a partner who smoked, with ORs above 6 for both mothers and fathers. Parents of 2,338 children completed the one-year follow-up questionnaire. Data from 2226 mothers and 1895 fathers showed that among baseline smokers with follow-up data, 225 (78%) mothers and 382 (81%) of fathers continued smoking, and only 63 (22%) of mothers and 90 (19%) of fathers quit. Among baseline non-smokers, 47 (2%) mothers and 54 (3%) fathers started smoking. Conclusions One-third of children consulting respiratory specialists in Switzerland are exposed to parental smoking. ETS exposure was strongly associated with socio-economic factors. Even after visiting a specialized clinic, most parents continued to smoke. This highlights the urgent need for stronger national smoking policies and targeted support to help these parents quit and stay smoke-free.

Urban air pollution remains a significant public health concern, contributing to premature deaths and adverse health outcomes. However, there is little causal research evaluating the effectiveness of policies designed to improve air quality. This study assesses the impact of all three stages of London's Ultra Low Emission Zone (ULEZ) on air pollution, via PM2.5 levels, and respiratory health, via prescription records for bronchodilator and respiratory corticosteroid medications. Analyses are at general practice level, using a generalised synthetic control method to estimate causal impacts. Stage 1 was associated with a statistically significant but negligible 0.77% reduction in PM2.5 levels, with no corresponding change in prescribing. Stage 2 produced a paradoxical 2.69% increase in PM2.5, alongside a 4.44% decrease in inhaled corticosteroid quantity but a 12.51% increase in average daily quantity (ADQ) usage, suggesting a worsening of disease severity among existing patients. Stage 3 yielded a 2.69% PM2.5 reduction and a modest 2.18% decrease in bronchodilator ADQ usage. Spillover effects beyond the ULEZ boundary were statistically significant, but negligible. We find overall that the ULEZ had minimal effects on both air quality and respiratory prescribing across all three stages. These findings provide new insights into the effectiveness of ULEZ policies in reducing air pollution and its associated health impacts, suggesting the zone's effects are considerably smaller than previously reported, and that integration with broader policy measures may be necessary to achieve meaningful public health gains.

Background: Tuberculosis (TB) preventive treatment is a key component of TB control in low-incidence settings, but uptake remains low. Objective: To explore factors influencing patient decisions to accept or decline preventive treatment for TB infection. Design: Qualitative study using semi-structured interviews, analysed with the Theoretical Domains Framework (TDF). Setting: Routine clinical TB prevention services at two hospitals in London, UK. Participants: Adults (18+) diagnosed with TB infection and offered preventive treatment. Methods: Semi-structured interviews were audio-recorded and transcribed verbatim. The TDF was applied to analyse transcripts using a combined inductive thematic analysis and deductive framework approach. Themes were also mapped to the Capability, Opportunity and Motivation model of Behaviour (COM-B) domains. Results: Twenty-five participants (median age 34 years; 64% male) were included; 56% accepted treatment, 28% declined, and 16% were undecided. Influences on decision-making mapped to 12 of 14 TDF domains. Facilitators of treatment acceptance included perceived risk of TB (beliefs about consequences), desire to protect others' health (social influences and goals), confidence in treatment adherence (beliefs about capabilities), and routine integration strategies (behavioural regulation). Barriers to treatment acceptance included low perceived individual risk and doubts about necessity or effectiveness (beliefs about consequences), concerns about side effects and treatment burden (environmental context and resources) and anticipated stigma (social influences). Knowledge had a mixed influence, primarily shaping perceived necessity, but did not determine decisions alone. Social, environmental and emotional factors further influenced decisions, with participants balancing anticipated benefits against perceived burden and uncertainty across multiple interacting domains. Conclusions: Decisions to accept preventive TB treatment are driven by interacting capability, opportunity and motivation factors rather than knowledge alone. Interventions to improve shared decision making should address perceived risk, treatment burden, self-efficacy and social influences.

Introduction: Childrens exposure to second hand tobacco smoke is a preventable global public health issue, yet there is no consensus on how best to support families to create a smoke free home. This pilot randomised controlled trial tested the feasibility of use of free nicotine replacement therapy combined with telephone delivered support to reduce childrens exposure to second hand smoke in the home, and inform a future full scale trial. Methods: Parents and carers aged 18 and over, who smoke in the home and care for one or more children aged 0 to 16 years were recruited through existing initiatives and social media. Participants were randomised to either the intervention or control arm. Group A received free posted to home nicotine replacement therapy, alongside fortnightly telephone calls to support smoking abstinence in the home. Group B were signposted to the Scottish Government Take it Right Outside website which provides interactive advice on creating a smoke free home. To measure second-hand smoke levels, participants installed an air quality monitor in their living room for 7 days to measure fine particulate matter at baseline and 12 week follow-up. Results: Approximately one-quarter (27 of 100) of the intended sample size was recruited. Median fine particulate matter concentrations reduced in both the intervention (by 36mg per cubic metre) and control (by 16mg per cubic metre) groups. Retention rates and adherence rates to nicotine replacement therapy were 70 percent and above, with no risks and or safety concerns reported, suggesting this approach is feasible and acceptable to participants. The estimated cost of delivering this 12 week intervention was two hundred and forty four pounds per individual. Conclusions: Although recruitment rates were insufficient to recommend progression to a larger trial to test effectiveness of this approach in Scotland, this study could inform trial development in other countries where smoking in the home is commonplace. Insights regarding the alignment of smoke free home interventions with broader smoking cessation initiatives could inform future policy and public health approaches.

Background: The systemic immune responses associated with persistent respiratory symptoms (PRS) after exposure to airborne environmental pollutants remain poorly understood. Objective: To identify immune disturbances associated with PRS, defined as persistent wheeze, cough, or breathlessness, we examined systemic immune responses and airway function in a cross-sectional cohort with detailed histories of airborne pollutant exposure. Methods: Never-smoking post-deployment Veterans with PRS (n=16) or without PRS (n=24) underwent chest computed tomography, pulmonary function testing, and oscillometry to assess structural and functional airway abnormalities. Peripheral blood mononuclear cells (PBMCs) were stimulated with anti-CD3/CD28 antibodies, lipopolysaccharide, or {beta}-glucan, and cytokine production was measured. Correlation analyses evaluated associations between cytokine responses and physiological measures of airway function. Results: Oscillometry, but not conventional pulmonary function testing or chest computed tomography, detected small-airway abnormalities in participants with PRS, including significantly greater frequency dependence of resistance and higher resonant frequency. Baseline PBMC cytokine concentrations were similar between groups. After stimulation, however, PBMCs from participants with PRS showed increased IL-17A production consistent with a type 17 (T17) response; innate stimulation also increased the type 2 (T2) cytokines IL-33 and IL-4. T2/T17 cytokine responses correlated positively with oscillometric measures of small-airway dysfunction. Conclusion: Individuals with PRS exhibited a stimulus-dependent systemic T2/T17 immune signature that was associated with early small-airway dysfunction. Clinical Implication: Stimulus-dependent systemic immune profiling, combined with oscillometry, may help identify early respiratory abnormalities in pollutant-exposed individuals whose conventional pulmonary tests remain normal.

Background Elexacaftor-tezacaftor-ivacaftor (ETI) has been demonstrated to improve lung function in clinical trials; however, evidence describing effects on trajectories and whether long-term improvements are sustained (>1-year) is lacking. We estimated within-person lung clearance index (LCI) trajectories before and after ETI initiation, assessing changes in level and rate of change, alongside acute LCI change, up to three years after ETI initiation. Methods Prospective observational study of children at a tertiary hospital. Children aged 3-17 years with [&ge;]2 LCI testing occasions (i) before and (ii) after starting ETI were used to describe lung function trajectories. Children with [&ge;]1 pre-ETI and [&ge;]1 post-ETI LCI occasion(s) were used to describe acute LCI change after ETI initiation. Age-adjusted LCI trajectories for time periods (i) before and (ii) after ETI initiation were estimated using linear mixed-effects models, and pre- and post-ETI LCIs were compared using paired Wilcoxon tests. Results Mean pre-ETI and post-ETI longitudinal changes in LCI were -0.007 (95% CI: -0.28, 0.27; n=35) and 0.12 (95% CI: -0.17, 0.41; n=20) turnovers per year, respectively. Before ETI initiation, 57% (30/53) of patients had an LCI[&ge;]7.1 turnovers (indicating impaired lung function), compared to 26% (14/53) post-ETI, with a median LCI difference of -0.70 (95% CI -0.84, -0.46; p<0.001) turnovers. Within-individual variability in LCI decreased post-ETI. Conclusions Our real-world data within a unique longitudinal study provide a comprehensive picture of ETI benefit by outlining not only acute improvement in LCI but maintained stability in LCI trajectories and improved LCI stability sustained up to three years post-initiation.

Idiopathic pulmonary fibrosis (IPF) is a progressive and ultimately fatal lung disease with a median survival of 3-5 years after diagnosis. Current antifibrotic therapies slow disease progression, but do not halt or reverse fibrosis, underscoring the need for new therapies. We identified a dysregulated oxysterol-GPR183 axis as a driver of IPF. Oxidized cholesterols were elevated in lungs from IPF patients, with myofibroblasts representing the dominant source of 7,25-hydroxycholesterol (7,25-OHC), the endogenous high affinity ligand for the oxysterol-sensing receptor GPR183. IPF patients had increased GPR183 expression in interstitial and monocyte-like macrophages compared to controls. In a bleomycin-induced model of pulmonary fibrosis genetic deletion of GPR183 reduced disease severity characterized by reduced fibrosis, inflammation, and accumulation of macrophages and myofibroblasts. Pharmacological inhibition of GPR183 with the antagonist NIBR189 attenuated fibrosis when administered preventatively from day 1-7 after bleomycin exposure. Notably, therapeutic treatment with the GPR183 antagonist after commencement of fibrosis development at day 10 post-bleomycin also significantly reduced fibrotic pathology, achieving efficacy comparable to the approved antifibrotic nintedanib. However, the GPR183 antagonist was more potent in reducing inflammation and myofibroblast activation compared to nintedanib. Together, these findings identify an oxysterol-GPR183 signaling axis that contributes to pulmonary fibrogenesis and provide a strong preclinical rationale for targeting GPR183 as a novel therapeutic strategy for IPF. One Sentence SummaryTargeting GPR183 reduced lung fibrosis and inflammation in a preclinical model, supporting GPR183 as a promising new therapy.

Background: Heatwrap is recommended for acute low back pain (ALBP), and previous research found heatwrap plus exercise more effective than each intervention alone. While recommended by clinical guidelines, their impact on mechanistic outcomes is unknown. This trial aimed to (i) assess immediate and short-term effects of heatwrap alone or combined with exercise, compared with a sham heatwrap, on pain sensitivity, lumbar muscle activity, current pain intensity, and trunk flexion range of motion, and (ii) explore whether changes in pain sensitivity and lumbar muscle activity are associated with changes in clinical symptoms from baseline to 1-week follow-up. Methods: A randomised controlled trial took place at a single research center. Of 315 individuals screened for eligibility, 99 adults with ALBP were recruited and assigned to one of three intervention groups: heatwrap plus exercise (n=34), heatwrap alone (n=33) or sham heatwrap (n=32). Interventions were applied for one hour at the first visit, and immediate effects were measured. Then, interventions were applied for 7 days, and short-term effects were measured at 1-week follow-up. Outcomes included pressure pain threshold, temporal summation of pain, flexion-relaxation ratio, trunk range of motion and current pain intensity. Results: Heatwrap and exercise did not produce greater effects over time than heatwrap alone or a sham heatwrap on all outcomes, and changes in sensorimotor outcomes at one week were not associated with changes in symptoms. Conclusions: Heatwrap and/or exercises did not influence specifically the potential sensorimotor mechanisms tested in individuals with ALBP. Trial registration: ClinicalTrials.gov; registration number: NCT03986047

Background In adults, cold-attributable mortality exceeds heat-attributable mortality roughly 17-fold. Child-specific evidence has begun to emerge only recently - a nationwide Brazilian case-crossover study located the minimum mortality temperature (MMT) for under-five deaths, and a 56-country survey-based analysis linked monthly temperature anomalies to under-five mortality - but no multi-country, climate-zone-resolved estimate of the childhood respiratory-infection MMT exists, and whether temperature variability is independently associated with childhood respiratory mortality at the global scale is unknown. We quantified both. Methods We combined Global Burden of Disease 2023 mortality estimates, lower respiratory infection (LRI) deaths at ages 0-19 years and asthma deaths at ages 0-24 years, 171 countries, 1990-2023 - with 0.5 deg monthly land temperature and diurnal temperature range (DTR) fields from C-LSAT/C-LDTR (1901-2023). Four exposure dimensions (annual mean, DTR, seasonal amplitude, interannual variability) entered two-way fixed-effects models with Driscoll-Kraay standard errors. A quadratic term in mean temperature located the MMT, with percentile confidence intervals from a 300-replication country-cluster bootstrap. Future-exposure leads, country-level detrending, and permutation tests assessed contemporaneous causality, applied to both the linear coefficients and the quadratic term generating the MMT; national pneumococcal conjugate vaccine (PCV3) coverage and ambient PM2.5 exposure series were added as time-varying mechanistic covariates. Results The childhood LRI MMT was 17.1 C (95% CI 14.7-19.8), the 36th percentile of the annual-temperature distribution; zone estimates were 24.7 C in tropical and 15.8 C in subtropical countries, with weak temperate and no subarctic identification. The quadratic term underpinning the MMT, however, failed both falsification checks - future temperatures reproduced the U-shape and country-level detrending erased it - so these MMT values describe a trend-level geographic pattern of the annual construct rather than a contemporaneous dose-response. Interannual temperature variability was positively associated with LRI (+0.278, 95% CI 0.102-0.454; p = 0.002) and asthma mortality (+0.836, 95% CI 0.447-1.226; p = 2.6 x 10^-5) per 1 C, but future-exposure models returned nearly identical significant coefficients and detrending erased significance, supporting only a trend-level association; adjustment for national PCV3 coverage and PM2.5 exposure left these estimates essentially unchanged. Annual mean temperature was likewise inversely associated with both outcomes at the trend level; DTR and seasonal amplitude showed no independent within-country effects. Conclusions This study provides the first multi-country, climate-zone-resolved geography of the optimal temperature for childhood respiratory survival, spanning 171 countries; because the underlying quadratic association is trend-level, the estimates are directional. The observed variability-mortality associations are trend-level signals rather than contemporaneous causal evidence; daily-scale, child-specific designs are required to determine whether short-term thermal variability affects paediatric respiratory mortality.

Tuberculosis (TB) remains a major public health challenge, exerting profound socio-economic burdens and causing debilitating illness in approximately 2.5 million individuals across Africa annually. Optimized large-scale treatment regimens, such as NAT2-genotype adjusted dosing, could improve patient outcomes and strengthen healthcare systems. However, fully addressing the complexity of multi-drug TB treatment responses requires consideration of the entire pharmacogenomic (PGx) landscape, particularly within African populations, which are both genetically diverse and critically understudied. In this study, we predict NAT2 genotypes and phenotypes in specific African populations, and we extend TB PGx research beyond well-established biomarkers. Current bioinformatic prediction tools were used to evaluate individual- and population-specific variation in genotype and next-generation sequencing data from 2,143 individuals across 20 African population groups, spanning ten PGx genes associated with multi-drug TB treatment and response. Most predicted functionally deleterious variants occurred at low frequencies (MAF < 0.01) and were observed in only one of the 20 populations. The Khomani and Nama populations had a distinctly higher proportion of NAT2 fast metabolizer phenotypes than other African populations, indicating a lower risk of INH overexposure and possibly different dosage requirements in these groups. These findings highlight both the potential and current limitations of functional prediction for absorption, distribution, metabolism and excretion (ADME) variants, and the transferability of their predictive value between African population groups. With the increasing accessibility of next-generation sequencing, alongside the development of comprehensive databases capturing African variation and advances in computational algorithms, the cumulative impact of genetic variation on TB drug response can be more accurately captured, thereby informing precision treatment strategies.

Purpose: Comorbid restless legs syndrome (RLS) and obstructive sleep apnea (OSA) -(COROSA)- is poorly characterized in African populations. We estimated its prevalence and correlates in a population-based sample in Benin. Methods: This was a cross-sectional analysis of 1,810 adults aged [&ge;]25 years from the Benin Society and Sleep (BeSAS) study. RLS was defined by International RLS Study Group criteria and OSA by an apnea-hypopnea index [&ge;]5 events/h on home respiratory polygraphy; COROSA required both. Correlates were assessed by multivariable logistic regression; multinomial models compared COROSA with OSA only, RLS only, and neither disorder. An exploratory analysis examined hypertension across eight mutually exclusive sleep-disorder groups, including comorbid insomnia, RLS and OSA (COMIROSA). Results: COROSA prevalence was 3.5% (95% CI 2.7-4.4). Independent correlates were age 40-59 years (aOR 2.91, 95% CI 1.38-6.73), age [&ge;]60 years (aOR 3.76, 1.61-9.35), rural residence (aOR 10.54, 4.94-25.43), overweight (aOR 2.29, 95% CI: 1.16-4.49), obesity (aOR 3.83, 95% CI: 1.75-8.31), and insomnia (aOR 2.49, 1.37-4.50). Relative to OSA only, COROSA was associated with hypertension and insomnia; relative to RLS only, obesity was the main distinguishing factor. Hypertension was associated with COROSA and COMIROSA, with a larger estimate for COMIROSA (aOR 4.03 vs 2.64). Conclusion: COROSA affected 3.5% of adults in Benin and co-occurred with obesity, hypertension and insomnia. Screening for overlapping sleep disorders may improve identification of high-risk individuals. COMIROSA remains a hypothesis requiring validation in larger longitudinal studies.

Background Despite numerous randomized controlled trials (RCTs) and systematic reviews (SRs), current sepsis guidelines continue to issue only weak recommendations for corticosteroids. We examined the clinical scope, underlying study pools, and mortality conclusions of SRs evaluating corticosteroids for sepsis. Methods We conducted a meta-research study of SRs on corticosteroids in sepsis (2015 to 2025), extracting SR characteristics, mortality results, and included RCTs. Study-pool overlap was assessed using an SRxRCT inclusion matrix, Jaccard similarity (J), and hierarchical clustering. SRs and RCTs were classified according to standardized Population, Intervention, Comparison, Outcome (PICO) profiles. We explored discordance in short-term mortality conclusions among clinically comparable SRs and potential associations with study-pool composition, target populations, and methodological characteristics. Results Forty-two SRs including 121 unique RCTs were identified. More than half of pairwise SR comparisons shared no RCTs, and only three pairs showed high overlap (J>0.8). SRs addressing similar intervention and target population profiles frequently relied on different study pools. Among 38 SRs with short-term mortality meta-analyses, 15 (39%) reported benefit and 23 (61%) no evidence of effect. Discordance occurred exclusively among SRs evaluating broad, non-specific corticosteroid strategies; conclusions were consistent for hydrocortisone plus fludrocortisone (benefit) and hydrocortisone, ascorbic acid, and thiamine (no evidence of effect). SRs including sepsis +/- shock populations more frequently reported benefit than those restricted to septic shock (62% vs 22%), although estimates were imprecise. No single methodological or clinical factor consistently explained discordance. Conclusions SRs addressing apparently similar clinical questions frequently synthesized different underlying evidence bases and reported discordant conclusions. Guideline developers should therefore consider not only methodological quality and reported PICO, but also whether the RCTs included in an SR adequately represent the intended clinical question. Clinically coherent evidence syntheses may improve the interpretability of pooled treatment effects and support more targeted corticosteroid therapy in sepsis.

Abstract Importance: Socially vulnerable patients have a high burden of obstructive sleep apnea, but the stage of the referral pathway at which access barriers arise is uncertain. Objective: To determine whether area-level social deprivation was associated with appointment scheduling, wait time, cancellations, or no-shows among adults referred for specialist obstructive sleep apnea care. Design: This was a cross-sectional study evaluating patients referred from December 1, 2016 through November 30, 2019. Data were analyzed from January 30, 2026 to May 16, 2026. Setting: Foothills Medical Centre Sleep Centre in Calgary, Canada. Participants: Adults referred to a tertiary academic sleep centre in Calgary, Alberta, Canada. Eligible patients had valid provincial health insurance and either a scheduled clinic appointment or home sleep apnea test data available. Exposures: Quintiles of the four Canadian Index of Multiple Deprivation domains: residential instability, economic dependency, ethnocultural composition, and situational vulnerability. Main Outcomes and Measures: The primary outcome was receipt of a scheduled specialist appointment. Secondary outcomes were time from referral to the first attended appointment and number of appointment cancellations or no-shows. Results: Among 3111 patients (mean [SD] age, 53.7 [14.3] years; 40.7% female), 1766 (56.7%) were scheduled and 1647 (52.9%) attended an appointment. Each quintile increase in situational vulnerability was associated with lower odds of scheduling (adjusted odds ratio [95% confidence interval] 0.86 [0.81-0.92]), whereas each quintile increase in ethnocultural composition was associated with higher odds (adjusted odds ratio [95% confidence interval] 1.32 [1.22-1.43]). Residential instability and economic dependency were not associated with scheduling. No deprivation domain was associated with time to the first attended appointment, cancellations, or no-shows. Conclusions and Relevance: In this cohort, area-level deprivation was associated with whether patients were scheduled for an appointment but not with wait time or missed visits after scheduling. These findings suggest that equity interventions should focus on completion of referral and scheduling processes.

Introduction: Idiopathic inflammatory myopathy-associated interstitial lung disease (IIM-ILD) is a major cause of morbidity and mortality. We tested whether quantitative myositis-specific autoantibodies and proteomic profiling capture biological heterogeneity and prognosis beyond categorical serology. Methods: Myositis-specific autoantibodies were quantified using the luciferase immunoprecipitation systems assay, and 184 serum proteins were measured in 226 IIM patients; 199 with higher-ILD-risk autoantibodies (Jo-1/MDA5/PL-7/PL-12/EJ), 27 with lower-ILD-risk autoantibodies (Mi-2/NXP2/TIF1{gamma}) and 35 healthy controls. We identified shared and subgroup-specific differences by comparing each subgroup with controls, then correlated quantitative autoantibody and protein levels within higher-risk subgroups. Additional analyses included pathway enrichment, unsupervised clustering, longitudinal lung-function change, and mortality. Results: Higher-ILD-risk subgroups shared interferon-responsive CXCR3 chemokine, IL-6/JAK/STAT3, and apoptosis signaling. Dominant autoantibody subgroup profiles differed: interferon/CXCR3 chemokine signaling with T-cell activation and monocyte recruitment in anti-Jo-1; proteostasis/antigen-processing and vascular/cellular stress signals in anti-MDA5; IL-6/macrophage and profibrotic signals in anti-PL-12; and apoptotic and innate immune activation with metabolic/redox-stress signals in anti-PL-7. Within higher-ILD-risk subgroups, autoantibody levels correlated with interferon-response, profibrotic, and metabolic/vascular proteins (r=0.40-0.74; nominal p<0.05). Unsupervised clustering identified four proteomic endotypes beyond autoantibody type, including an injury-stress endotype associated with worse lung function and poorer survival, and a chemokine/checkpoint-high endotype with relatively preserved lung function. Across 203 participants with 38 deaths, a weighted 10-protein score was associated with all-cause mortality (HR, 3.28; 95% CI, 2.12-5.08; p<0.001). Conclusions: Integrated quantitative autoantibodies and proteomic profiling revealed shared inflammatory biology, autoantibody-associated signatures, and an injury-stress endotype associated with poor survival in IIM-ILD, supporting risk stratification beyond categorical serology.

Background: Although the lung is of low biomass, it harbors a diverse and dynamic microbiome that may influence disease and healing. Existing studies have used diverse sampling methods with high propensities for contamination and sampling error, leading to diverse and unclear results. Here, we characterized the lung microbiome via airway and parenchymal samples to determine variation across patients and sampling methods. Methods: We recruited adult patients undergoing lung resection for suspected or confirmed malignancy. After resection and under sterile conditions, a 1 cm cubic piece of non-cancerous lung parenchyma and a swab from the specimen's bronchus were collected and sent for microbiome analysis via 16S rRNA gene amplicon (V4) sequencing on an Illumina platform. An established bioinformatics pipeline was used to determine taxonomic identification. Baseline clinical and demographic data were compared to microbiome composition. Results: A total of 86 patients were included in the study. Beta diversity (microbial composition) varied significantly by sampling method (biopsy of lung parenchyma versus airway swabs), so all further results were analyzed within sample types. Further analyses revealed significant differences in beta diversity by lobe of the lung, indicating a different microbial composition by anatomic location. Analyses of patient demographics revealed significant differences by age and comorbidities, including chronic obstructive pulmonary disease and atrial fibrillation. Conclusions: The lung harbors a diverse microbiome that differs by anatomic location and patient characteristics. This study provides a framework for more accurate future lung microbiome sampling and characterization.

Rationale: Fibrosing interstitial lung diseases (ILDs), including idiopathic pulmonary fibrosis (IPF), have heterogeneous postdiagnosis courses. Existing prognostic tools often rely on pulmonary function testing, imaging, or laboratory data that may not be uniformly available and rarely provide individualized, time-updated forecasts of multiple clinically relevant trajectory events. Objectives: To determine whether longitudinal healthcare claims can generate test-free, time-updated forecasts of clinically actionable postdiagnosis trajectory events in patients with fibrosing ILD and IPF. Methods: Using de-identified longitudinal administrative claims from the Merative MarketScan Commercial Claims and Encounters and Medicare Supplemental and Coordination of Benefits databases, we constructed code-based digital twins (ZeBRA) encoding each patient's evolving diagnosis, pharmacy, and procedure history. Horizon-specific models forecast seven claims-observable events: supplemental oxygen escalation, pulmonary hypertension, acute respiratory failure/ARDS composite, nausea, diarrhea, liver injury, and gastrointestinal bleeding. The analytic cohort included 345,918 patients with fibrosing ILD, including 17,284 with IPF. Predictions were evaluated in a time-updated follow-up setting at 1-month, 6-month, and 1-year horizons. Results: Predictive discrimination was consistent across events and horizons. In fibrosing ILD, AUC ranged from 0.691 for liver injury at 1 year to 0.912 for oxygen dependence at 1 month, with PPV ranging from 0.189 to 0.714. At 1 month, oxygen dependence achieved an AUC of 0.912 +/- 0.005 with PPV of 0.473 +/- 0.005, and pulmonary hypertension achieved an AUC of 0.881 +/- 0.005 with PPV of 0.539 +/- 0.005. The IPF subcohort showed analogous horizon-dependent performance, with AUC ranging from 0.687 to 0.855 and PPV from 0.245 to 0.817. At 1 month in IPF, PPV was 0.753 +/- 0.015 for oxygen dependence and 0.817 +/- 0.011 for pulmonary hypertension. Conclusions: A test-free digital-twin framework derived from routine longitudinal claims can provide individualized, time-updated forecasts of actionable fibrosing ILD and IPF trajectory events without imaging, pulmonary function tests, laboratory data, clinical notes, or patient-facing data collection. These forecasts may support low-burden reassessment, anticipatory care planning, and earlier recognition of elevated near-term risk for respiratory deterioration or management-altering complications.

Introduction Acute lower respiratory tract disease (aLRTD) is a leading cause of hospitalisation and death, particularly in older adults and adults with comorbidities, with acute lower respiratory tract infection (aLRTI; pneumonia and non-pneumonic LRTI) being a major component. Non-pulmonary complications and functional decline after aLRTI are recognised, but their pathogen-specific burden is poorly described. We aimed to quantify renal, hepatic, thromboembolic and functional complications, and mortality, after aLRTI hospitalisation, by clinical phenotype and pathogen. Methods We conducted a cohort study of adults (>18 years) admitted with aLRTD to two hospitals in Bristol, UK (01 August 2022-31 July 2024). aLRTD was classified as pneumonia, non-pneumonic LRTI (NP-LRTI) or no diagnosis of aLRTI. Pathogens were identified from standard-of-care and research microbiology. Outcomes were acute kidney injury (AKI), acute liver dysfunction, venous thromboembolism (VTE), in-hospital falls, reduced mobility at discharge, increased care requirements, and 30-day and 1-year mortality. Analyses were descriptive. Results Among 246,797 adult admissions, 21,456 aLRTD hospitalisations were included: 10,239 (47.7%) pneumonia, 7,742 (36.1%) NP-LRTI and 3,475 (16.2%) with no evidence of aLRTI. Of 19,152 tested aLRTD admissions, 8,503 (44.4%) had a positive microbiological/virological test, yielding 9,204 pathogen detections; 1,194 (6.2%) had co-infections, and SARS-CoV-2 was most frequent, with influenza the second most common in pneumonia and NP-LRTI. Pneumonia had greater severity than NP-LRTI and no diagnosis of aLRTI (median length of stay 6 vs 4 vs 4 days; ICU admission 3.4% vs 0.7% vs 0.5%, respectively). Overall, 22.2% developed AKI, 6.1% acute liver dysfunction, 0.6% DVT and 2.4% PE; 1.8% had a fall, 11.5% reduced mobility, and 16.6% required increased care at discharge. 30-day and 1-year mortality were highest for pneumonia (14.0% and 32.0%, respectively). Pathogen-specific analyses showed longer stays and higher complications and mortality rates for SARS-CoV-2 and Streptococcus pneumoniae, and shorter stays with lower complication and mortality rates for influenza and Haemophilus influenzae. Conclusions Non-cardiovascular complications and functional decline after aLRTI were common, particularly in pneumonic and SARS-CoV-2 or pneumococcal disease. These findings support routine surveillance for renal, hepatic, thromboembolic events, early mobilisation and rehabilitation, and consideration of multi-system outcomes when evaluating public health and economic value of vaccines and therapies.

Aims To estimate the prevalence of past-year smoking quit attempts in Great Britain and examine variation by sociodemographic and socioeconomic characteristics, mental health, alcohol use, smoking-related characteristics, and geographic area. Design Cross-sectional analysis of data from a nationally representative household survey (the Smoking Toolkit Study) conducted October 2020 to May 2026. Setting Great Britain. Participants 24,786 adults ([&ge;]18y) who reported past-year tobacco smoking. Measurements The outcome was self-reporting having made at least one serious attempt to stop smoking in the previous 12 months. Associations with age, gender, ethnicity, social grade, health-related economic inactivity, mental health conditions, psychological distress, alcohol consumption, use of non-combustible nicotine, cigarette type and consumption, strength of urges to smoke, and motivation to stop smoking were assessed. We calculated weighted prevalence estimates and odds ratios (ORs) adjusted for survey year. Findings Overall, 36.7% [95%CI=36.0-37.4] of adults who had smoked in the past year self-reported making at least one quit attempt. Annual prevalence was relatively stable over the study period (range: 35.5% [33.9-37.1] to 37.6% [35.9-39.3]). Making a past-year quit attempt was more common among younger adults (48.0% among 18-24-year-olds) and declined progressively with age (24.6% among [&ge;]65-year-olds; OR=0.35, 95%CI=0.31-0.39). Compared with White adults, making a past-year quit attempt was more common among Black (OR=1.31, 1.11-1.55) and Asian (OR=1.40, 1.21-1.62) adults. Adults with a history of diagnosed mental health conditions (OR=1.27, 1.17-1.38) and moderate (OR=1.31, 1.20-1.43) or severe psychological distress in the past month (OR=1.39, 1.25-1.56) had greater odds of reporting a past-year quit attempt than those without. Those reporting increasing/higher risk alcohol consumption had lower odds than non-drinkers (OR=0.88, 0.82-0.95). Current use of nicotine replacement therapy (OR=2.59, 2.36-2.83) and vapes (OR=2.15, 2.02-2.30) were positively associated with reporting a past-year quit attempt. Odds were lower among those with greater cigarette consumption (OR range 0.79-0.86 among those smoking >10 vs. [&le;]5 cigarettes per day). Motivation to stop smoking showed the strongest gradient (OR range 2.95-29.09). Geographic differences were modest, with prevalence ranging from 32.1% [29.9-34.3] in Wales to 39.4% [35.9-43.1] in North East England. Conclusions Between 2020 and 2026, around one in three adults in Great Britain who smoked in the past year reported making a serious attempt to quit, corresponding to approximately 3.5 million people annually. Making a past-year quit attempt was more strongly associated with smoking-related factors than sociodemographic characteristics.

Background Severe acute respiratory infections (SARI) strain healthcare systems. Sentinel surveillance remains central to SARI monitoring, but routinely collected hospital discharge data offer a scalable, population-wide complement. In Finland, national registers now enable register-based surveillance, yet SARI case definitions remain unevaluated. Aim To evaluate whether routinely collected electronic health records can support register-based SARI surveillance and establish a national case definition. Methods We conducted a retrospective register-based study linking inpatient discharge data from the Finnish Care Register for Health Care (Hilmo) and laboratory-confirmed pathogen notifications from the National Infectious Diseases Register (NIDR). Admissions were aggregated into hospitalisation episodes using generic and pathogen-specific respiratory ICD-10 codes and linked to laboratory-confirmed respiratory pathogens within an admission-centred window. We assessed the impact of diagnostic coding position, laboratory linkage windows and alternative case definitions on age distribution, seasonality and epidemic trend detection. Results We included 145,435 respiratory hospitalisation episodes. Laboratory confirmations clustered around admission, and a -7-to-+3-day window was selected; 51,498 (35.4%) had a linked laboratory confirmation. Specific primary-position diagnoses preserved clear seasonality and age distributions consistent with SARI epidemiology, whereas secondary-position diagnoses showed attenuated seasonality. A combined case definition incorporating specific primary diagnoses and laboratory-supported syndromic episodes produced stable epidemic curves while improving sensitivity over laboratory confirmation alone. Conclusion National discharge and laboratory registers can support robust SARI surveillance in Finland when case definitions are carefully designed. A combined register-based definition balances specificity, sensitivity and feasibility, complementing sentinel surveillance and integrated respiratory monitoring. Keywords Severe acute respiratory infection (SARI); surveillance; electronic health records; ICD-10; case definition; Finland

Objective To identify optimal initiation ages and screening intervals for low-dose computed tomography (LDCT) screening among never-smoking Asian women using an integrated polygenic risk score (PRS)-environmental tobacco smoke (ETS) risk model, and to evaluate the cost-effectiveness of alternative screening strategies at these optimized ages. Design Integrated PRS-ETS microsimulation modelling. Setting Japan. Participants Never-smoking women stratified into eight risk groups defined by combinations of PRS levels and ETS exposure. Interventions LDCT screening at intervals of 1 to 10 years, annual chest radiography (CXR), or no screening. Main outcome measures Costs, quality-adjusted life years (QALYs), incremental cost-effectiveness ratios (ICERs), net monetary benefits, lung adenocarcinoma incidence and mortality, and optimal LDCT initiation ages. Sensitivity analyses used a willingness-to-pay threshold of US$50,000 per QALY gained. Results Optimal initiation ages ranged from 40 to 55 years across the eight PRS-ETS risk groups, with higher PRS-ETS risk associated with younger optimal initiation ages. Annual LDCT was the most cost-effective strategy across all PRS-ETS risk strata, yielding an ICER of US$40,471 per QALY in the lowest risk stratum and becoming cost-saving in higher risk strata. Over a lifetime, annual LDCT averted 8,534 lung adenocarcinoma deaths compared with annual CXR and 14,940 deaths compared with no screening. Conclusions Tailoring LDCT initiation age across integrated PRS-ETS risk groups maximizes mortality reduction achievable with cost-effective annual LDCT screening among never-smoking Asian women. These findings highlight an urgent limitation of global lung cancer screening guidelines that rely exclusively on smoking history and provide policy-ready evidence supporting the integration of PRS and ETS into future recommendations for precision LDCT screening for never-smoking populations.