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Abstract Rationale Thymic stromal lymphopoietin (TSLP) is an epithelial alarmin chiefly implicated in T2 airway inflammation, though it may also participate in broader (non-T2) inflammatory processes. The utility of airway epithelial gene expression of TSLP and its specific receptor subunit, cytokine receptor-like factor 2 (CRLF2), as biomarkers of downstream inflammation and clinical outcomes remains unclear. Methods We analyzed RNA sequencing data from bronchial airway brushing obtained in phase 1 of the SPIROMICS bronchoscopy sub-study (N = 161: 23 never-smokers, 67 ever-smokers with COPD, 71 ever-smokers without COPD). We related airway TSLP and CRLF2 expression to clinical, hematologic/sputum measures, and gene-expression signatures of T2/eosinophilic and neutrophilic inflammation, including to our published T2 signature and to eosinophil and neutrophil signatures derived from single-cell atlas data. Associations used Spearman correlations and linear models adjusted for age, sex, race/ethnicity, COPD status, smoking status, and pack-years. Results CRLF2 expression correlated with gene-expression evidence of both T2/eosinophilic and neutrophilic inflammation: T2 signature (ρ = 0.26, p < 0.001), eosinophil signature (ρ = 0.44, p < 0.001), and neutrophil signature (ρ = 0.39, p < 0.001). CRLF2 was positively associated with log sputum neutrophil count (ρ = 0.24, p = 0.024) and blood neutrophil count (ρ = 0.036, p < 0.001), but not with sputum or blood eosinophil counts. Higher CRLF2 related to worse baseline lung function, particularly among current smokers, (lower post-bronchodilator FEV1: ρ = −0.21, p = 0.008), as well as greater 5-year FEV1 decline across current and former smokers (ρ = −0.22, p = 0.007). Significant findings persisted after covariate adjustment. In contrast, TSLP expression, although strongly correlated with expression of the epithelial alarmin IL33 (ρ = 0.53, p < 0.001), was negatively correlated with CRLF2 (ρ = −0.24, p = 0.002) and with eosinophil and neutrophil gene-expression signatures (ρ = −0.26 and −0.33, both p < 0.001). TSLP expression showed no association with sputum or blood cell counts. Conclusions In bronchial epithelium from SPIROMICS, gene expression of CRLF2, but not of TSLP, tracked with downstream alarmin-relevant inflammatory programs, consistent with a regulatory role in TSLP signaling through TSLPR, as well as with clinically meaningful outcomes. CRLF2 expression was associated with evidence of both T2/eosinophilic and neutrophilic inflammation, and with lower baseline FEV1 and accelerated FEV1 decline, suggesting engagement of a broader, clinically relevant inflammatory milieu. By contrast, epithelial TSLP transcript levels mirrored IL33 gene expression but were not associated with cellular or transcriptomic inflammation. These findings position CRLF2, rather than TSLP expression itself, as a potential airway biomarker of TSLP-axis activity and disease impact with potential implications for patient stratification as well as strategic approaches for TSLP-pathway-targeted therapies. This abstract is funded by: SPIROMICS was supported by contracts from the NIH/NHLBI (HHSN268200900013C, HHSN268200900014C, HHSN268200900015C, HHSN268200900016C, HHSN268200900017C, HHSN268200900018C, HHSN268200900019C, HHSN268200900020C, 75N92024D00012), grants from the NIH/NHLBI (U01HL137880, U24HL141762, R01HL182622, R01HL144718, and R01HL093081), and supplemented by contributions made through the Foundation for the NIH and the COPD Foundation from Amgen; AstraZeneca/MedImmune; Bayer; Bellerophon Therapeutics; Boehringer-Ingelheim Pharmaceuticals, Inc.; Bristol Myers Squibb; Chiesi Farmaceutici S.p.A.; Forest Research Institute, Inc.; Genentech; GlaxoSmithKline; Grifols Therapeutics, Inc.; Ikaria, Inc.; MGC Diagnostics; Novartis Pharmaceuticals Corporation; Nycomed GmbH; Polarean; ProterixBio; Regeneron Pharmaceuticals, Inc.; Sanofi; Sunovion; Takeda Pharmaceutical Company; Theravance Biopharma; Verona; and Mylan/Viatris.

Abstract Rationale Deficiency of alpha-1 antitrypsin (AAT), the protein encoded by SERPINA1, remains the strongest genetic risk factor for COPD. Individuals heterozygote for the type Z variant, termed the PI*MZ genotype (estimated global prevalence n = 35,000,000), experience varying respiratory morbidity beyond expected from tobacco smoking alone. AAT is a pleiotropic protein which inhibits not only neutrophil elastase but also neutrophil chemotaxis mediated by leukotriene B4 (LTB4) [by antagonizing the LTB4 receptor (LTB4R)] and interleukin-8 (IL-8). Although LTB-4 and IL-8 gene variants and protein levels have independently been implicated in COPD, their potential role in PI*MZ is unknown. Methods COPDGene and SPIROMICS are observational tobacco-smoke and COPD-enriched cohort studies. Participants were phenotyped by spirometry and CT imaging, with whole genome sequencing data available via TOPMed. We analyzed participants with PI*MM (COPDGene n = 9,732; SPIROMICS n = 2,105) and PI*MZ (COPDGene n = 300; SPIROMICS n = 83). LTB-4 (ALOX5AP, LTA4H, LTB4R) and IL-8 (CXCL8, CXCR1, CXCR2) associated gene variants (exonic and intronic) with a minor allele frequency of ≥ 0.05 were extracted. We assessed statistical interactions between MZ status and chest CT outcomes or FEV1% predicted using the SPAGxECCT package with adjustment for relatedness (genetic related matrix) and ancestry (top ten PCs). Baseline protein LTB4R (SPIROMICS only) and IL-8 (both cohorts) protein levels were measured via SomaScan, and statistical interactions between MZ status and AAT concentration were explored. Models were adjusted for age, sex, BMI, smoking status, and pack-years. Given the candidate gene discovery approach, significance was defined as nominal p-value<0.05 Results We identified the following number of variants in genes of the LTB-4 or IL-8 pathways: 87 shared between cohorts; 133 unique to COPDGene; 1 unique to SPIROMICS. LTB-4-related polymorphisms were associated (p < 0.05) with any radiographic outcomes in 22 variants (COPDGene) vs. 23 variants (SPIROMICS), with a single overlap (rs17074984 in ALOX5AP). Two LTB-4-pathway variants were associated with FEV1% predicted in SPIROMICS (both in ALOX5AP), but none in COPDGene. AAT plasma concentrations displayed a statistically significant interaction with FEV1% predicted (p = 0.046) and PRMemphysema (p = 0.013) for LTBR4, but not for IL-8. There was not an interaction by MM/MZ status and protein levels. Conclusions Predominantly LTB-4, and not IL-8, pathway-related genetic variants and protein levels may contribute to disease heterogeneity among PI*MZ individuals. The association of circulating LTB4R protein with reduced lung function, particularly among those with low AAT levels, further suggest interactions between AAT and the leukotriene pathway in PI*MZ individuals. Thus, PI*MZ individuals may uniquely derive benefit from leukotriene-targeting pharmacotherapy. This abstract is funded by: NIH NHLBI K23HL173570

Abstract Rationale Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality in the United States. Rural populations experience a disproportionate burden, which likely reflects a combination of factors, including limited access to evidence-based COPD care. Our aim was to identify barriers, facilitators, and recommendations to improve the quality of COPD care received by rural veterans. Methods We performed a qualitative study of veterans with COPD who lived in rural areas. Participants were drawn from the Minneapolis VA Health Care System and the St. Cloud VA Health Care System. We conducted semi-structured interviews to explore rural veterans’ personal experiences navigating the healthcare system to receive COPD care. Interviews were conducted via telephone and were transcribed using NVIVO software. Transcribed interviews were then coded using content analysis. Results - Participants (N = 27) ranged in age from 59 to 85 years of age, 4 (14.8%) were women, and 24 (88.9%) identified as white. - Most veterans, 12 (44.4%) had an 11 to 30 minute drive to their primary care provider and 13 (48.1%) had a greater than 1 hour drive time to the pulmonologist. - Twenty-four (88.9%) participants had at least one exacerbation in the past 12 months, 10 (41.7%) of which ended up hospitalized. - Elucidative quotes are listed in Table 1, which were used to identify general themes. - General Themes: Barriers Primary care provider turnover and shortages, physical limitations related to chronic medical conditions, discomfort with virtual care, long appointment wait times and limited scheduling flexibility, complex referral processes, transportation challenges, and weather-related difficulties. Facilitators Self-motivation, self-advocacy, support from family and friends, timely scheduling and communication, trust and continuity with healthcare providers, and familiarity with or outside assistance in using technology facilitated access to COPD care. Recommendations Participants suggested improving technology-related education, providing necessary technology equipment, enhancing access to clinic appointments, supporting provider continuity, and fostering timely communication between patients and healthcare teams. Conclusion This study identified several barriers, facilitators, and patient-generated recommendations to improve COPD-related care for rural veterans. Participants described physical limitations, lack of provider continuity, and challenges with technology navigation as key barriers. Facilitating factors included strong family support and a sense of self-sufficiency that motivated engagement in care. Recommendations for improvement emphasized enhanced communication, greater patient education, and additional support for using technology in healthcare delivery. This abstract is funded by: NIH

Abstract Rationale To construct multi-trait polygenic scores (PRS) predicting chronic obstructive pulmonary disease (COPD) and exacerbations, validate their performance in diverse cohorts, and identify PRS-related proteins for potential therapeutic targeting. Methods PRSmix+, a multi-trait PRS framework, is used to train a composite PRS (PRSmulti) in COPDGene non-Hispanic white participants (n = 6,647). Associations of PRSmulti with COPD status (GOLD 2-4 vs. GOLD 0 or ICD) and exacerbation frequency were tested in COPDGene African American (n = 2,466), ECLIPSE (n = 1,858), MassGeneral Brigham Biobank (n = 15,152), and All of Us (n = 118,566). Protein prediction models were applied to GWAS summary statistics from traits contributing to PRSmulti and were validated with proteomic data in COPDGene (n = 5,173) and UK Biobank (n = 5,012). Results PRSmix+ selected 7 traits for PRSmulti. In multivariable models, PRSmulti was associated with COPD status (meta-analysis random effects (RE) OR 1.58 [95% CI: 1.28-1.94]) and exacerbation frequency (meta-analysis RE beta 0.21 [95% CI: 0.11-0.31]), with higher effect sizes observed in smoking-enriched cohorts. PRSmulti outperformed traditional single-trait PRS in all tested cohorts. Using protein prediction models, we identified 73 proteins associated with the PRS that were also validated with measured protein levels in COPDGene and UK biobank. Of these proteins, 25 were linked to approved or investigational drugs. Notable targets include AGER (RAGE), IL1RL1, and SCARF2, all implicated in COPD pathogenesis and exacerbations. Conclusions Multi-trait PRS improves prediction of COPD and exacerbation risk. Integration with proteomic data identifies druggable protein targets, offering a promising avenue for precision medicine in COPD management. Trial registration. COPDGene: NCT00608764; ECLIPSE: NCT00292552. This abstract is funded by: NIH and the COPD Foundation

Abstract Rationale Alpha-1 antitrypsin deficiency (AATD) continues to be underdiagnosed. The estimated prevalence of the most common severe deficient genotype, PI*ZZ, is ∼1:3500 or 100,000 Americans but only ∼10,000 such individuals have been recognized. Diagnostic delays persist and these delays are associated with worse disease. High-resolution CT (HRCT) imaging may contain latent phenotypic AATD signatures that are not visibly apparent to clinicians. We hypothesized a deep learning model could identify imaging patterns predictive of AATD from inspiratory HRCT scans. Methods Confirmed genotypes and HRCT scans were pooled from COPDGene, SPIROMICS, and GRADS, yielding 350 MM, 102 MZ, and 69 ZZ participants. Only scans reconstructed with smooth kernels (GE STANDARD, Philips B, Siemens B31f/B35f) and slice thickness < =1.25mm were used. The cohort was selected to have similar distributions of quantitative emphysema, sex, and age by matching five MZ and two MM subjects to each ZZ subject (<10-year age difference, same sex, and <3% difference in %LAA). Tobacco smoke-exposure was more prevalent among the MM/MZ groups given these were predominantly from the tobacco smoke-enriched COPDGene and SPIROMICS cohorts. A DenseNet121 convolutional neural network (CNN) was trained using the MONAI platform to predict genotype by outputting probabilities for MM, MZ, and ZZ. Input to the CNN was a three-channel LAA-910, LAA-950, and LAA-970 map downsampled to 2.0mm3 resolution to remove bias due to differences in scanner and image reconstruction parameters. Five-fold cross-validation was performed. Area under the curve (AUC) was calculated for classification of ZZ vs other genotypes (MM/MZ) and MZ vs MM, with statistical significance assessed at p < 0.05. Results The three groups were similar across age (mean±SD years: MM 57.9±8.8, MZ: 57.5±8.9, ZZ: 55.0±10.7), sex (% female: MM: 48.2%, MZ: 46.7%, ZZ: 47.6), and emphysema (LAA-950%: MM: 13.0±12.2, MZ: 12.4±11.8, ZZ: 13.1±11.9). There was a higher prevalence of ever smokers among MM (100%) and MZ (91.7%), compared to ZZ (47.6%). The model achieved an AUC of 0.806 (p < 0.001) for classification of ZZ vs other genotypes, demonstrating robust discriminatory ability for homozygous AATD. Classification of MZ vs other genotypes did not achieve an AUC significantly greater than 0.5. Conclusions This proof-of-concept study demonstrates that deep learning applied to routine inspiratory HRCT can accurately identify homozygous AATD. These findings support the potential role of imaging-based machine learning as a non-invasive screening tool for undiagnosed ZZ individuals. Future work will focus on cohort enrichment, integration with clinical parameters, and explainability of model-derived imaging features. This abstract is funded by: NIH NHLBI K23HL173570

Abstract Rationale Chronic lower respiratory diseases (CLRD), including chronic obstructive pulmonary disease (COPD), were the third-leading causes of death globally in 2019. Quantitative computed tomography (CT) measures of airway wall and lumen areas are associated with greater respiratory symptoms, reduced FEV1, accelerated lung function decline, and higher risk of incident COPD. Even in individuals without COPD, greater airway wall thickness—corresponding to smaller absolute wall and lumen areas—predicts incident COPD and CLRD-related hospitalizations and mortality. Aims To identify protein signatures and biological pathways underlying airway lumen and wall areas using cross-sectional plasma protein associations with CT measures. Methods SPIROMICS is a multicenter longitudinal case-control study that recruited 2,983 adults with COPD and a 20+ packyear smoking history and controls aged 40-80 years between 2010-2015. Standardized chest CT scans were labeled with airway measures. A total of 1,255 plasma proteins measured by SomaScan were included. Linear regression models adjusted for demographic, clinical, and imaging covariates. Significance was defined by a False Discovery Rate (FDR) p-value (q-value) <0.05 using the Benjamini-Hochberg method. Replication was performed in two external cohorts with inverse variance-weighted meta-analysis. Proteins meeting nominal replication underwent elastic net regression and pathway enrichment (Gene Ontology [GO] and Reactome). Results Among 2,065 participants with CT and proteomic data (mean age 63.2 years, 46.3% women, 61.6% with COPD), proteins meeting replication were significantly associated with lumen area (2 proteins; top hit a disintegrin and metalloproteinase with thrombospondin motifs 5, q = 0.016), wall area (3 proteins; top hit leptin, q = 0.011), and percent wall area (16 proteins; top hit roundabout homolog 2, q = 0.002). Elastic net selected 2 proteins for lumen area, 3 for wall area, and 12 for percent wall area. Pathway enrichment revealed FDR-significant pathways only for percent wall area via GO (50 pathways; top hit axogenesis) and Reactome (1 pathway; diseases of glycosylation). Conclusions This study identified distinct proteins, signatures, and biological pathways associated with CT airway measures of lumen area, wall area, and percent wall area. Proteins linked to airway lumen and wall area are involved in metabolic and vasoactive processes, while those for percent wall area are involved in vascular remodeling, cell adhesion, and extracellular matrix organization—highlighting structural pathophysiologic features of COPD. These findings may inform biomarker discovery and prediction of disease onset and progression. This abstract is funded by: Funding: Daniel E. Guzman, MD, MSE was funded by T32-HL144442. SPIROMICS was supported by contracts from the NIH/NHLBI (HHSN268200900013C, HHSN268200900014C, HHSN268200900015C, HHSN268200900016C, HHSN268200900017C, HHSN268200900018C, HHSN268200900019C, HHSN268200900020C, 75N92024D00012), grants from the NIH/NHLBI (U01HL137880, U24HL141762, R01HL182622, R01HL144718, and R01HL093081), and supplemented by contributions made through the Foundation for the NIH and the COPD Foundation from Amgen; AstraZeneca/MedImmune; Bayer; Bellerophon Therapeutics; Boehringer-Ingelheim Pharmaceuticals, Inc.; Bristol Myers Squibb; Chiesi Farmaceutici S.p.A.; Forest Research Institute, Inc.; Genentech; GlaxoSmithKline; Grifols Therapeutics, Inc.; Ikaria, Inc.; MGC Diagnostics; Novartis Pharmaceuticals Corporation; Nycomed GmbH; Polarean; ProterixBio; Regeneron Pharmaceuticals, Inc.; Sanofi; Sunovion; Takeda Pharmaceutical Company; Theravance Biopharma; Verona; and Mylan/Viatris.

Abstract Importance Conventional Pulmonary Rehabilitation (PR) after a hospital admission for a COPD exacerbation reduces remission and improves quality of life and survival, but only 2% of hospitalized patients complete PR. New feasible and effective strategies for increasing adherence to rehabilitation in the post hospitalization period are needed. Objective Determine the effect of patient’s choice on adherence to rehabilitation and outcomes. Design, Setting, and Participants: Individuals discharged after a COPD-related hospitalization were randomized to home rehabilitation with health coaching (HRwHC) or the choicethe choice of conventional PR or HRwHC. Intervention The HRwHC program was asynchronous and included weekly health coaching calls for 12 weeks and remote monitoring of lifestyle activities including daily exercises, and steps measured by an activity tracker, the compliance with 24-minute daily exercise routine and a daily wellbeing assessment. Participants in the choice arm that elected for conventional PR were facilitated by the study team to attend the nearest PR center. Main Outcomes and Measures The primary outcomes were adherence and effect on health-related quality of life measured by the Chronic Respiratory Questionnaire. Secondarily Physical activity was measured with Actigraph®GX3T a validated triaxial accelerometry. Results Among 1905 potential participants identified, 296 were randomized (uptake 14%). Reasons for declining include No interest in research 556 (29%), Already in PR or in other monitoring or research program 125 (6.5%), too much going/still recovering 650 (34%), Felt not needed (content with care) 208 (11%), Hospice 12 (0.6%), Technology barrier 64 (3%). Arm baseline measures were not different between arms. Among participants in the choice group, 1 of 148 (0.6%) elected HRwHC instead of PR. Because all patients received the same intervention (except one), outcomes at 3 months showed no difference, result are presented as one group before -after analysis. Among 295 patients that chose or were randomized to HRwHC, adherence (completion) was 59%. CRQ physical and Emotional Summary as well as all individuals’ domains improved significantly and beyond the MCID at 3 months Table 1A. CRQ improvement was maintained at 6- and 12-months Table 1B-C. Linear mixed models for repeated measures confirmed the significant sustained improvement over one year after adjusting to age, FEV1%, Charlson comorbidity index (p < 0.001 for all three time point 3-6-12 months). Conclusions and Relevance Home rehabilitation may represent the preferred choice after a COPD-related hospital admission. HRwHC sustainably improved quality of life over one year making a feasible and effective rehabilitation option and opportunity for primary palliative care. This abstract is funded by: NIH

Abstract Rationale Alpha1-antitrypsin (AAT; gene name SERPINA1) is a critical antiprotease that protects the lung from neutrophil elastase-mediated injury. AAT deficiency predisposes to emphysema, which is further exacerbated by cigarette smoke (CS) exposure. We previously reported (PMID: 38325750) that a nebulized human platelet-derived exosome product (PEP) attenuated CS-induced emphysema in C57BL/6 mice. Given the presence of AAT protein in these platelet-derived exosomes (identified by proteomics), we hypothesized that PEP nebulization would significantly attenuate both spontaneous and CS-induced emphysema in SERPINA1 knockout (KO) mice. Methods Transgenic SERPINA1 KO C57BL/6 mice (both sexes) exposed to CS (10 cigarettes/day and 5 days/week) for 2 months were then randomized to receive nebulized PEP or 0.9% saline (placebo) twice weekly for 4 additional weeks, with continued CS exposure. PEP was reconstituted in 0.9% saline (22.7mg/mL; ∼3 × 10¹0 vesicles/mL) and administered via pressure- and humidity-controlled nose-only inhalation tower (2.25 mL of PEP or saline over 35 minutes). Lung static compliance (Cst), cutaneous O2 saturation, mean linear intercepts (Lm), and plethysmographic parameters were measured during and after the study. Results Histological analysis of the lung tissue sections revealed that PEP significantly attenuated the CS-induced increase in alveolar size, as determined by measurement of the mean linear intercepts (Lm, p < 0.001). Lung static compliance (Cst), which was increased in CS-exposed mice, was also significantly decreased in the PEP-treated group (p < 0.001) compared to placebo in the male and female combined group. Functional respiratory parameters further supported the protective effect of PEP in this AAT-deficient model. In female mice, PEP nebulization significantly improved several CS-impaired pulmonary function parameters, including minute volume (MV, p = 0.024), the flow at the point 50% of tidal volume is expired (EF50, p = 0.021), Peak Inspiratory Flow (PIF, p = 0.009), Peak Expiratory Flow (PEF, p = 0.018), and O2 saturation (p = 0.035). However, these improvements were not observed in male mice. Conclusions These findings extend prior observations and underscore the therapeutic potential of nebulized AAT-enriched PEP directly to the alveolar region, effectively attenuating injury and improving pulmonary function in AAT deficiency-related emphysema. This abstract is funded by: Department of Defense, Mayo Clinic Funding, The Young and Middle-aged Medical High-end Talents in Chongqing Program

Abstract Introduction We previously demonstrated that nebulized platelet-derived exosome product (PEP) alleviates cigarette smoke (CS)-induced murine emphysema. To elucidate the underlying molecular mechanisms, we conducted single-nucleus RNA sequencing of lung tissue, which initially revealed a shift in the cell source for TNF signaling (a critical regulator of inflammation in COPD lungs) from innate lymphoid cells (ILC) to alveolar macrophages (aMac) after chronic CS exposure. In this study, we conducted a more in-depth analysis of cellular communication to determine the mechanism by which PEP modulates CS-induced TNF signaling in the lung microenvironment. Methods Single-cell transcriptomics and cell-cell communication analyses were performed between CS-exposed placebo control lungs vs. sham control lungs and CS-exposed PEP-treated vs. placebo control lungs using R packages, including Seurat, CellChat, Patchwork, Future, and NMF. A comparative analysis of ligand-receptor interactions across these datasets was conducted using CellChat to infer intercellular signaling networks. Results Single-nuclear RNA-seq analysis revealed that the Thy1-ITGAX_ITGB2 signaling pathway was significantly upregulated by CS, acting as the adhesive and activating bridge that facilitates the switch in TNF production from ILC to aMac. Thy1 is a GPI-anchored ligand expressed on ILCs, and ITGAX_ITGB2 is its cognate receptor on aMacs. Concurrently, Ptprc-Mrc1 signaling, an inhibitory pathway in ILC-aMac crosstalk, was downregulated, contributing to sustained aMac activation by CS. Furthermore, analysis of aMac-aMac interactions revealed upregulated GRN/Sort1 signaling, which promotes the internalization of progranulin, an anti-inflammatory glycoprotein that competes for TNF/TNFR signaling. Ptprc-Mrc1 signaling was also downregulated within the aMac autocrine/paracrine network, further perpetuating a pro-inflammatory state. In contrast, treatment with PEP downregulated Thy1-ITGAX_ITGB2 signaling and upregulated Lamc1-Cd44 signaling, a hallmark of aMac deactivation, thereby inducing a phenotypic switch in inflammatory macrophages toward a reparative M2 state, promoting the resolution of CS-induced chronic inflammation. Conclusions These data suggest that the transition of TNF production from ILCs to aMacs under chronic CS stress is driven by increased Thy1-ITGAX_ITGB2 interactions and decreased Ptprc-Mrc1 signaling between ILCs and aMacs crosstalk within the local tissue. Enhancing the crosstalk between Lamc1-Cd44 and Ptprc-Mrc1 may suppress TNF production and attenuate CS induced aMac activation. Targeting these pathways, as demonstrated by nebulized PEP treatment, holds therapeutic potential to deactivate inflamed aMacs and promote homeostasis in the inflamed lung. This abstract is funded by: Department of Defense, Mayo Clinic Funding

Abstract Introduction Bronchiectasis is a chronic respiratory disease that increases fatigue, disability, and impairs quality of life. However, the impact of fatigue on patients with bronchiectasis, even in short-term follow-up, has not been sufficiently examined. We explored the association between fatigue and clinical outcomes among patients with bronchiectasis. Methods Adult bronchiectasis patients enrolled in the US Bronchiectasis and Nontuberculous Mycobacteria Research Registry were retrospectively analyzed. Patients with at least one annual follow-up visit in the 3-5 years post baseline and with fatigue data at both baseline and follow-up were included. Patients were grouped as experiencing fatigue versus not experiencing fatigue in the 2-years prior to baseline as reported at their baseline visit. We explored the relationship between baseline fatigue with patient demographics, co-existing conditions, components of the modified bronchiectasis severity index at baseline and follow-up. Wilcoxon, chi-square, and Fisher’s exact tests were used to assess the differences in continuous variables and associations between categorical variables, respectively. Stepwise multivariable logistic regression models explored the relationship of baseline fatigue with exacerbations and hospitalizations at follow-up. Model selection predictors were evaluated based on clinical relevance or p < 0.05 in univariable analyses. Results 1265 adults with bronchiectasis met the inclusion criteria. 563(45%) reported experiencing fatigue and 702 (55%) did not. The median age (interquartile range) was 70(62-78) years and patients were predominantly female (n = 1042, 83%). At baseline, patients experiencing fatigue had a higher proportion of co-existing diagnoses such as gastroesophageal reflux disease, chronic obstructive pulmonary disease, and rheumatologic disease, compared to those without fatigue (all p < 0.05). Furthermore, patients with fatigue had a higher prevalence of pulmonary-related hospitalizations (p < 0.001) at baseline and follow-up. Pseudomonas aeruginosa colonization and elevated dyspnea (modified Medical Research Council [mMRC] grade≥1) were more prevalent among those experiencing baseline fatigue compared to those without (all, p < 0.05). History of prior exacerbations (Odds Ratio [OR]:1.67, 95% CI:1.17-2.41) and baseline Pseudomonas aeruginosa colonization (OR:1.22, 95% CI:1.01-1.47) were significantly associated with increased odds of exacerbations at follow-up. In multivariable stepwise logistic regression, there was an increased odds of at least 1-hospitalization at follow-up among males (OR:2.23, 95% CI 1.12-4.42), patients with decreased Body Mass Index (OR:0.93, 95% CI: 0.87-1.0), and among patients with elevated dyspnea (mMRC grade ≥1) at baseline (OR:2.22, 95% CI: 1.16-4.24),[Table 1]. Conclusions Fatigue in bronchiectasis patients is associated with a more severe disease and greater healthcare utilization, although it may not independently predict future exacerbations or hospitalizations when accounting for other factors. This abstract is funded by: Bronchiectasis and NTM Association