Background Current treatment strategies to stratify exacerbation risk rely on history of ≥2 events in the previous year. To understand year-to-year variability and factors associated with consistent exacerbations over time, we present a prospective analysis of the SPIROMICS cohort. Methods We analyzed SPIROMICS participants with COPD and three years of prospective data (n=1,105). We classified participants according to yearly exacerbation frequency. Stepwise logistic regression compared factors associated with individuals experiencing ≥1 AECOPD in every year for three years versus none. Results During three years follow-up, 48·7% of participants experienced at least one AECOPD, while the majority (51·3%) experienced none. Only 2·1% had ≥2 AECOPD in each year. An inconsistent pattern (both years with and years without AECOPD) was common (41·3% of the group), particularly among GOLD stages 3 and 4 subjects (56·1%). In logistic regression, consistent AECOPD (≥1 event per year for three years) as compared to no AECOPD were associated with higher baseline symptom burden assessed with the COPD Assessment Test, previous exacerbations, greater evidence of small airway abnormality by computed tomography, lower Interleukin-15 (IL-15) and elevated Interleukin-8 (IL-8). Conclusions Although AECOPD are common, the exacerbation status of most individuals varies markedly from year to year. Among participants who experienced any AECOPD over three years, very few repeatedly experienced ≥2 events/year. In addition to symptoms and history of exacerbations in the prior year, we identified several novel biomarkers associated with consistent exacerbations, including CT-defined small airway abnormality, IL-15 and IL-8.

BackgroundEosinophils in blood and sputum in chronic obstructive pulmonary disease (COPD) have been associated with more frequent exacerbations, lower lung function, and corticosteroid responsiveness. We hypothesized increased eosinophils are associated with a severe COPD phenotype, including exacerbation frequency, and tested whether blood eosinophils reliably predict sputum eosinophils.MethodsComprehensive baseline data on SPIROMICS subjects, recruited for a range of COPD severity for smokers with ≥20 pack year history, included demographics, questionnaires, clinical assessments, quantitative computed tomography (QCT), blood and induced sputum.FindingsSignificantly, stratification by mean sputum eosinophils ≥1·25% (N=827) was associated with reduced FEV1 % predicted (differences: 10% pre-bronchodilator, 4·7% post-bronchodilator), QCT density measures for emphysema and air trapping, and exacerbations treated with corticosteroids (p=0·002). In contrast, stratification by mean blood eosinophils ≥200/µL (N=2499) showed that FEV1 % predicted was significant between low and high blood subgroups, but less than observed between sputum subgroups (blood eosinophil group differences: 4·2% pre-bronchodilator, 2·7% post-bronchodilator), slightly increased airway wall thickness (0·02 mm, p=0·032), greater symptoms (p=0·037), and wheezing (p=0·018), but no evidence of association with COPD exacerbations or other indices of severity. Blood eosinophils showed weak although significant association with sputum eosinophils (ROC AUC=0·64, p<0·001), but with a high false discovery rate (72%). Elevated sputum eosinophils, with or without blood eosinophils, were associated with lower lung function. Elevated blood eosinophils only in combination with elevated sputum eosinophils were associated with COPD exacerbations.InterpretationStratification of SPIROMICS subjects by blood eosinophils alone showed minimal clinical differences and no association with exacerbations, whereas stratification by sputum eosinophils was associated with larger phenotypic differences and COPD exacerbations. Importantly, increased blood eosinophils did not reliably predict airway eosinophils in induced sputum.

Multidetector row computed tomography (MDCT) is increasingly taking a central role in identifying subphenotypes within chronic obstructive pulmonary disease (COPD), asthma, and other lungrelated disease populations, allowing for the quantification of the amount and distribution of altered parenchyma along with the characterization of airway and vascular anatomy. The embedding of quantitative CT (QCT) into a multicenter trial with a variety of scanner makes and models along with the variety of pressures within a clinical radiology setting has proven challenging, especially in the context of a longitudinal study. SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), sponsored by the National Institutes of Health, has established a QCT lung assessment system (QCT-LAS), which includes scanner-specific imaging protocols for lung assessment at total lung capacity and residual volume. Also included are monthly scanning of a standardized test object and web-based tools for subject registration, protocol assignment, and data transmission coupled with automated image interrogation to assure protocol adherence. The SPIROMICS QCT-LAS has been adopted and contributed to by a growing number of other multicenter studies in which imaging is embedded. The key components of the SPIROMICS QCT-LAS along with evidence of implementation success are described herein. While imaging technologies continue to evolve, the required components of a QCT-LAS provide the framework for future studies, and the QCT results emanating from SPIROMICS and the growing number of other studies using the SPIROMICS QCT-LAS will provide a shared resource of image-derived pulmonary metrics.

Background & Aims-Patients with Barrett's esophagus (BE) show increased risk for developing esophageal adenocarcinoma and are routinely examined using upper endoscopy with biopsy to search for neoplastic changes. Angle-resolved low coherence interferometry (a/LCI) uses in vivo depth-resolved nuclear morphology measurements to detect dysplasia. We assessed the clinical utility of a/LCI in the endoscopic surveillance of BE patients.

BackgroundAs a part of the longitudinal Chronic Obstructive Pulmonary Disease (COPD) study, Subpopulations and Intermediate Outcome Measures in COPD study (SPIROMICS), blood samples are being collected from 3200 subjects with the goal of identifying blood biomarkers for sub-phenotyping patients and predicting disease progression. To determine the most reliable sample type for measuring specific blood analytes in the cohort, a pilot study was performed from a subset of 24 subjects comparing serum, Ethylenediaminetetraacetic acid (EDTA) plasma, and EDTA plasma with proteinase inhibitors (P100™).Methods105 analytes, chosen for potential relevance to COPD, arranged in 12 multiplex and one simplex platform (Myriad-RBM) were evaluated in duplicate from the three sample types from 24 subjects. The reliability coefficient and the coefficient of variation (CV) were calculated. The performance of each analyte and mean analyte levels were evaluated across sample types.Results20% of analytes were not consistently detectable in any sample type. Higher reliability and/or smaller CV were determined for 12 analytes in EDTA plasma compared to serum, and for 11 analytes in serum compared to EDTA plasma. While reliability measures were similar for EDTA plasma and P100 plasma for a majority of analytes, CV was modestly increased in P100 plasma for eight analytes. Each analyte within a multiplex produced independent measurement characteristics, complicating selection of sample type for individual multiplexes.ConclusionsThere were notable detectability and measurability differences between serum and plasma. Multiplexing may not be ideal if large reliability differences exist across analytes measured within the multiplex, especially if values differ based on sample type. For some analytes, the large CV should be considered during experimental design, and the use of duplicate and/or triplicate samples may be necessary. These results should prove useful for studies evaluating selection of samples for evaluation of potential blood biomarkers.